Abstract
Cells respond to acute environmental stress by rapidly reorganizing transcriptional
machinery and genome architecture, yet how these processes are mechanistically
integrated remain poorly understood. We find that Mediator Tail subunits function in a
hierarchical fashion to coordinate transcription factor condensate assembly, three-
dimensional genome organization and transcriptional output during the heat shock
response (HSR) in Saccharomyces cerevisiae. We identify the Mediator Tail triad—
Med2, Med3, and Med15—as exceptionally enriched in intrinsically disordered regions
and possessing strong intrinsic liquid–liquid phase separation potential, in contrast to
the more structured Tail subunits Med5 and Med16. Live-cell imaging reveals that this
IDR-rich triad is critically required for thermal stress-induced Heat Shock Factor 1 (Hsf1)
condensate formation, HSR gene coalescence and robust transcriptional induction.
Mechanistically, Med15 executes these functions through its activator-binding domains,
with the IDR-rich ABD2 playing a dominant role in stabilizing Hsf1, Mediator, and RNA
polymerase II (Pol II) occupancy at HSR loci, while the C-terminal IDRs of Med2 and
Med3 provide critical interaction platforms that couple condensate formation to genome
organization. Strikingly, Med16 defines a parallel regulatory axis: although dispensable
for Hsf1 condensate nucleation, Med16 is required for Mediator and Pol II condensate
formation and for HSR gene coalescence, revealing that transcription factor clustering
and productive transcriptional condensates are mechanistically separable. Finally, Med5
plays a minor yet detectable role in HSR transcription and gene coalescence. Together,
our findings establish a modular and hierarchical organization of the Mediator Tail that
integrates phase separation, transcriptional condensate composition, and 3D genome
architecture to drive rapid stress-induced gene activation.
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Introduction
Mediator is an evolutionarily conserved co-activator of Pol II transcription that plays a
central and integrative role in gene expression. Its dynamic and modular architecture,
comprising the Head, Middle, and Tail modules (Fig. 1a), enables Mediator to interact
with gene-specific transcription factors (TFs), Pol II, general transcription factors such
as TFIID and TFIIH, and co-activator complexes including SAGA1-4. Structural and
biochemical studies have demonstrated that Mediator undergoes extensive
conformational rearrangements that facilitate high-affinity Pol II engagement and
transcriptional activation5,6. During pre-initiation complex (PIC) assembly and
transcription initiation, Mediator regulates multiple dynamic aspects of transcription,
including TF function and multivalent activator interactions, TF residence time on DNA,
transcriptional bursting and reinitiation, Pol II distribution across genes, and
phosphorylation of the Pol II C-terminal domain (CTD)1-4. Beyond its role in initiation,
Mediator coordinates post-initiation transcriptional processes, contributing to
transcription elongation, termination, and co-transcriptional mRNA splicing and nuclear
export7 (reviewed in 3,4,8). In addition to these transcriptional functions, Mediator
interfaces with chromatin regulatory pathways, influencing histone and DNA methylation
and contributing to epigenetic transcriptional memory
3,4,9.
Beyond transcription, Mediator plays a pivotal regulatory role in genome organization by
orchestrating short- and long-range chromatin interactions through partnerships with
diverse factors, including chromatin architectural proteins and remodelers4,8. By
interacting with cohesin, Mediator promotes enhancer-promoter interactions and higher-
order chromatin folding to regulate global chromatin structure10-12. These observations,
primarily made in mammalian systems, reflect developmental processes. Less well
understood is the role Mediator might play in the dynamic 3D genome restructuring that
occurs in response to environmental stress
13-17.
The robust heat shock response (HSR) system in budding yeast provides a powerful
model to uncover the basic mechanisms of genome organization and gene regulation.
The HSR is a conserved transcriptional program that safeguards eukaryotic cells
against proteotoxic stress and is orchestrated by the transcription factor, Heat Shock
Factor 1 (Hsf1)18,19. Upon activation by stressors such as heat, ethanol, or oxidative
stress, Hsf1 undergoes trimerization, binds to heat shock elements (HSEs) upstream of
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HSR genes, and induces expression of molecular chaperones and cytoprotective
proteins18,20-22. This regulatory mechanism is evolutionarily conserved, as evidenced by
the functional interchangeability of human HSF1 and its yeast counterpart23.
Reversible formation of biomolecular condensates, a process that frequently involves
liquid-liquid phase separation (LLPS), has emerged as a key mechanism regulating the
cellular stress response from yeast to mammals15,16,24 (reviewed in 19,25). This process is
primarily driven by intrinsically disordered regions (IDRs). Notably, Mediator contains
extensive IDRs in many subunits, consistent with its striking conformational flexibility
26,27. Previous work has suggested that dynamic IDR-IDR interactions between TFs and
Mediator can drive the formation of phase-separated condensates28,29, yet roles played
by such IDR-driven interactions in fostering recruitment of regulatory factors, gene-
specific transcription, and 3D genome organization remain unclear.
Recent studies have shown that Hsf1 forms reversible nuclear condensates in response
to acute thermal stress and that these localize to HSR gene loci in both human and
yeast 16,24. In Saccharomyces cerevisiae, these heat-inducible transcriptional
condensates drive HSR-HSR gene interactions across and between chromosomes14-16.
In addition to driving profound reorganization of genome structure, such condensates
concentrate components of the transcriptional machinery, including Hsf1, Pol II, and
Mediator16,31,33. However, whether factors beyond Hsf1 drive the formation of
transcriptional condensates and concomitant 3D genome reorganization, and the
mechanistic basis by which they might do so, are largely unknown.
Using the HSR system in budding yeast, we previously showed that the Mediator Tail
triad, comprised of Med2-Med3-Med15, can be independently recruited to HSR genes
through interactions with Hsf1, which uses its dual activation domains to physically
interact with Med15 34,35. However, the role of Mediator in heat shock-induced
transcriptional condensate formation and HSR gene clustering has remained unclear.
Here, we demonstrate that subunits within the Tail triad are critically required for heat
shock-induced formation of transcriptional condensates, HSR gene activation, and
concomitant 3D genome restructuring, and principally act through their intrinsically
disordered regions. A fourth, highly structured subunit, Med16, defines a parallel
regulatory axis: although dispensable for Hsf1 condensate nucleation, Med16 is
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required for Mediator and Pol II condensate formation and for HSR gene coalescence,
revealing that transcription factor clustering and productive transcriptional condensates
are mechanistically separable. Med5, another highly structured Tail subunit, plays
comparatively minor roles in stress-induced genome restructuring and HSR gene
expression. Our findings establish a modular and hierarchical organization of the
Mediator Tail that integrates phase separation, transcriptional condensate composition,
and 3D genome architecture to drive rapid stress-induced gene activation.
Results
Mediator Tail triad subunits exhibit robust intrinsic LLPS potential
The formation of biomolecular condensates is often driven by LLPS and is dictated by
IDR abundance, amino acid composition, and sequence patterning36-39. We therefore
systematically evaluated Mediator Tail subunits for IDR content, underlying amino acid
composition, and intrinsic LLPS potential. IDR abundance and LLPS propensity were
quantified using complementary sequence-based and machine-learning approaches for
predicting intrinsic disorder and droplet-forming potential40-44. This analysis revealed that
Med2, Med3, and Med15 exhibit a high degree of disorder, with >70% of each
polypeptide predicted to be disordered (Fig. 1b). Med2 and Med3 contain extended
IDRs, whereas Med15 features multiple IDRs that punctuate its sequence end-to-end
(Fig. 1c). In contrast, Med5 and Med16 contain few regions predicted to be disordered.
To evaluate the phase-separation potential of Mediator Tail subunits, we used
PhasePred to predict both self-assembling (PS-Self) and partner-dependent (PS-Part)
propensities. Med2, Med3, and Med15 emerged as dominant candidates, exhibiting
markedly elevated PS-Self and PS-Part scores and the highest predicted phase-
separation propensity among all Mediator subunits (Figs. 1d and S1 a, b). Notably, PS-
Part scores strongly correlated with IDR content (R² = 0.9515), implicating IDRs within
the Tail triad as major determinants of phase separation (Fig. 1e). Consistent with these
findings, FuzDrop analysis also predicted elevated LLPS propensity for Med2, Med3,
and Med15 (Fig. 1f). AlphaFold3 structural predictions
45 likewise suggested extensive
unstructured regions in these subunits, in contrast to the more ordered architectures of
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Med5 and Med16 (Fig. 1g). Together, these data indicate that the Mediator Tail triad is
characterized by pronounced intrinsic disorder and a strong propensity for phase
separation.
Because amino acid composition is a critical determinant of IDR-driven phase
separation37, we next analyzed the residue composition of Mediator Tail subunits. The
Tail triad was markedly enriched in asparagine (N) and glutamine (Q) residues, with
Med2 showing preferential enrichment for asparagine, Med15 for glutamine, and Med3
for both. By contrast, Med5 and Med16 exhibited minimal enrichment in these residues
(Fig. S1c, d). Notably, N and Q residues were largely spatially aligned with IDRs within
the Tail triad (Fig. S1e), and their combined abundance was significantly higher than
that observed in other Tail subunits. Collectively, these features indicate that the
Mediator Tail triad harbors intrinsic sequence and structural properties consistent with
robust liquid–liquid phase separation potential.
The Mediator Tail triad regulates Hsf1 condensate formation in response to heat
shock
HSF1, the master regulator of the heat shock response, undergoes LLPS to form
nuclear condensates at HSR gene loci in both yeast and human cells
16,24 and in yeast
drives the 3D reorganization of HSR genes15,16,31,46. Recently, evidence has been
reported for HSF1-mediated 3D reorganization of HSR genes in mouse embryonic
fibroblasts47. Although Mediator and Pol II colocalize with Hsf1 following exposure to
acute thermal stress16,31,33, the contribution of individual Mediator subunits remains
poorly defined. To investigate the role of the Mediator Tail in the HSR, we generated
haploid yeast strains harboring individual gene deletions (med2Δ, med3Δ, med15Δ,
med5Δ, med16Δ) and assessed growth phenotypes at 24°, 30°, and 37°C. Except for
med5Δ, all mutants exhibited sensitivity to the elevated temperature (37°C) (Fig. S2),
implicating essential roles for Med2, Med3, Med15, and Med16 in the HSR.
Dynamic IDR-IDR interactions of transcriptional machinery drive phase-separated
condensates, crucial for transcriptional regulation (reviewed in 36,48,49). Optimal levels of
TF IDR-IDR interactions facilitate condensate formation that often correlates with
transcriptional induction28,29,48-50 (although see ref.51). Mammalian Med1 plays an
essential role in condensate formation in mammalian cells, facilitating the
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compartmentalization of Pol II and positive regulators and activating transcription by
concentrating transcriptional machinery via its large IDR28,29,39,52. To test the role of
Mediator Tail subunits in HS-induced Hsf1 condensate formation, we employed live-cell
imaging of wild-type (WT) and individual Tail subunit deletion strains expressing Hsf1-
mNeonGreen (Hsf1-mNG). Consistent with previous observations15,16,31,33,46, Hsf1-mNG
rapidly condensed in WT cells into several discrete intranuclear puncta in response to a
2.5-minute, 25° to 39°C thermal upshift. Such puncta were dynamic and began to
resolve as early as 15 min (Fig. 2a).
Deletion of any component of the Mediator Tail triad markedly suppressed Hsf1
condensate formation, as reflected by both the number of puncta per cell and the
fraction of cells containing puncta, although the kinetics of formation and resolution
were similar to those observed in WT cells (Figs. 2a,c; S3i). In contrast, deletion of
MED5 or MED16 did not reduce either the kinetics or abundance of intranuclear Hsf1
condensates. Notably, Hsf1-mNG condensates persisted longer in med16Δ cells than in
WT cells (Fig. 2c). Consistent with these findings, conditional depletion of Med16 using
the auxin-inducible degron (mAID) system did not suppress Hsf1 clustering but instead
prolonged condensate persistence, whereas AID-mediated Med15 depletion abolished
Hsf1 condensation (Figs. 2b,d; S3h,j). Auxin treatment efficiently reduced Med15 and
Med16 protein levels (~99% and ~90%, respectively) within 30 minutes, without
affecting cell viability over the time course analyzed (Fig. S3a–f).
Together, these results demonstrate that the Mediator Tail triad, which is enriched in
IDRs and exhibits strong LLPS propensity, contributes to the HSR by stimulating the
formation of Hsf1 condensates. By contrast, Med5 and Med16, both of which lack
pronounced IDRs and LLPS propensity (Fig. 1), are dispensable for Hsf1 nucleation.
Both IDR- containing and structured Mediator Tail subunits drive HS-induced HSR
gene interactions
Heat shock–induced transcriptional condensates containing Hsf1, Pol II, and Mediator
are proposed to drive the spatial reorganization of HSR genes, with evidence supporting
a functional link between Hsf1 condensate formation and intergenic HSR gene
interactions
16,31. To gain further insight into the relationship between condensate
assembly and HSR gene coalescence, we analyzed the contribution of Mediator Tail
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subunits using a highly sensitive version of chromosome conformation capture, TaqI-3C
53, in both gene deletion and conditional depletion strains (strategy summarized in Fig.
3a). This analysis included the IDR-rich subunits Med2, Med3, and Med15, as well as
the more structured subunits Med5 and Med16. In WT cells, brief heat shock (5 min)
induced robust cis- and trans-intergenic interactions among HSR genes (Figs. 3b and
S4). Deletion of MED2, MED3 or MED15, each of which disrupts Hsf1 condensate
formation, resulted in a pronounced loss of HSR intergenic contacts. Notably, deletion of
MED16 caused the most severe defect in HSR gene coalescence despite leaving Hsf1
condensates intact. Deletion of MED5 had a more variable and less impactful effect on
both cis- and trans-interactions (Figs. 3b and S4).
To validate the most striking phenotypes, we conditionally depleted Med15 or Med16
using AID as above. Like med15Δ, conditional depletion of Med15 severely disrupted
both cis- and trans- HSR intergenic interactions (Figs. 3b, S5a). Med16-mAID produced
a similar but weaker defect than med16Δ that may reflect the incomplete depletion of
Med16 protein (Figs. 3b, S3d-e, S5b).
We next examined intra-locus HSR interactions, including enhancer–promoter (E-P),
promoter–coding region, and promoter–terminator (gene-looping) contacts. Except for
Med5, all Mediator Tail subunits were required for efficient intragenic interactions in
acute HS cells (Figs. 3c, S4c). Conditional depletion of Med16 yielded comparable
Results
to med16∆ (Fig. S5b). The similar impact of gene deletion and conditional
protein depletion of Med15 and Med16 argues against the effects observed having
arisen from either extragenic suppression or auxin-induced effects. Together, these
orthologous approaches argue for a dual role for IDR-containing Med15 in promoting
Hsf1 clustering and HSR intergenic interactions and a singular role for Med16 in
promoting HS-induced 3D genome restructuring.
Mediator Tail triad subunits drive robust HSR gene transcription
TF condensates have been proposed as a key mechanism for transcriptional
regulation
28,29,32,54. In yeast, HSR gene transcription is temporally correlated with HS-
induced Hsf1 condensation15,16,31,33,46. To determine whether Mediator Tail subunits
implicated in Hsf1-condensate formation and HSR gene coalescence are required for
HS-induced HSR transcription, we measured mRNA levels of representative HSR
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genes (HSP104, SSA4, and BTN2) during a HS time course using RT–qPCR. Loss of
Tail triad subunits Med2, Med3, and Med15 severely impaired HSR gene transcription,
with Med15 exhibiting the most pronounced defect (Figs. 3d, S6). These transcriptional
defects parallel the disruptions observed in Hsf1 condensate formation and HSR gene
interactions. In contrast, deletion of Med16, which strongly disrupts HSR gene
interactions but not Hsf1 condensates, caused only a moderate reduction in HSR
transcription. Finally, deletion of Med5, which does not affect the number of Hsf1
condensates per cell and has a variable impact on HSR intergenic interactions, had a
modest yet detectable effect on HSR gene transcription. Together, these data indicate
that the Tail triad subunits are essential for robust HSR transcription, that Med16 plays a
moderate but supportive role, and that Med5 plays a minor role.
Med15 activator-binding domains govern the HSR through regulation of Hsf1,
Mediator, and Pol II occupancy
Med15 is a well-characterized Mediator subunit that regulates gene expression through
interactions with transcription factors across eukaryotes, from yeast to human34,55-58.
Yeast Med15 contains three N-terminal activator-binding domains (ABDs 1-3)
comprised of extensive regions predicted to be intrinsically disordered (Figs. 4a, S7)
and that are essential for TF binding 56,59,60. Through these domains, Med15 engages
TFs via a “fuzzy” protein interface57,58,60,61. Med15 additionally harbors an evolutionarily
conserved, N-terminal TF-interacting KIX domain55,56 and a C-terminal Mediator-
associated domain (MAD) that mediates interactions with the remainder of the Mediator
complex, TFIIE and TFIIH5,62. As a core component of the Mediator Tail, Med15 has
been shown to be essential for the HSR34,35, a notion confirmed and extended by
observations described above (Figs. 2, 3, S4-S6).
To determine whether Med15 mediates these HSR functions through its ABDs, we
generated haploid strains carrying individual genomic deletions of each domain59 (see
Methods). Deletion of ABD2 (Δabd2, residues 277–404) caused an increasingly severe
growth defect as temperature was elevated, although not as severe as that conferred by
med15Δ (Fig. S8a-c), whereas the remaining ABD deletions had little detectable effect.
Significantly, none of the domain deletions altered overall Med15 protein expression
levels (Fig. S8d).
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We next assessed whether the ABD deletions affected Hsf1 condensate formation.
Except for Δabd2, none of the deletions significantly altered the fraction of cells with
Hsf1 or kinetics of formation over the heat shock time course (Fig. 4b). Quantification of
Hsf1 puncta per cell revealed a substantial reduction in the Δabd2 mutant, a moderate
reduction in Δabd3, and no appreciable effect in either the Δkix or Δabd1 strains (Fig.
4c). We then examined the contribution of Med15 ABDs to intergenic interactions at
HSR genes by 3C. All ABD deletions impaired intrachromosomal (cis) interactions,
whereas only Δabd2 consistently disrupted interchromosomal (trans) interactions and
intragenic contacts (Figs. 4d and S9a). Moreover, analysis of intragenic architecture
showed that ABD2 is required for both enhancer–promoter (E–P) and promoter–
terminator (gene-looping) interactions. In contrast, deletion of the KIX domain, ABD1, or
ABD3 resulted in only moderate reductions in gene-looping interactions, while leaving
E–P interactions largely intact. Together, these findings indicate that all Med15 ABDs
contribute to the 3D genome topology of HSR genes, with ABD2 playing the
predominant role.
To determine how Med15 contributes to the HSR through its ABDs, we assessed the
occupancy of key HSR transcriptional components, including Hsf1, Pol II (Rpb1), and
the Mediator Head (Med17) and Tail (Med3) subunits, using ChIP at representative HSR
gene loci. All Med15 ABDs supported recruitment of these factors, with ABD2 typically
playing the most important role (Figs. 4e, S10). It is notable that Med15, acting through
each of its activator binding domains, enhances HS-induced Hsf1 recruitment in
addition to that of Pol II and Mediator. This observation is consistent with previous
reports suggesting that Med15 can facilitate (or stabilize) the binding of gene-specific
transcription factors to their cognate sites in the yeast genome
34,63. We further
evaluated the role of ABD2 in driving HSR gene expression and found that its deletion
severely reduced mRNA abundance of HSR genes (Figs. 4f, S9b). Together, these
Results
indicate that Med15 ABDs are critical for the HSR, functioning to enhance or
stabilize transcriptional machinery at HSR genes in an HS-dependent manner, with
ABD2 playing the most important role.
The C-terminal IDRs of Med2 and Med3 regulate the HSR by modulating HSF1
condensation, genome topology and factor occupancy
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Previous studies have demonstrated that Hsf1 is required for the HS-induced formation
of transcriptional condensates, 3D genome restructuring, and HSR gene activation in
acutely stressed cells15,16,31,46. Consistent with this framework, our results show that
each component of the Mediator Tail triad—Med2, Med3, and Med15—is essential for a
robust HSR, as loss of any individual subunit severely compromises the response.
These findings support a model in which the Tail triad subunits function cooperatively as
an integrated triad rather than as independent factors5,64-66. Furthermore, Med15
contributes to the HSR through its activator-binding domains (ABDs), with ABD2 playing
a predominant role (Figs. 4, S9, S10). To define the IDR-mediated interactions that
underlie Tail triad assembly, we generated intermolecular interaction maps using the
FINCHES online tool67 . These analyses predicted strong interactions between Med15
ABDs 1–3 and the C-terminal IDRs of Med2 (residues 290–400) and Med3 (residues
301–374) (Fig. S11). In contrast, the same ABDs showed only weak to moderate
predicted interactions with Med5 or Med16.
To determine whether Med2 and Med3 contribute to the HSR through their C-terminal
IDRs, we used CRISPR/Cas9 to generate genomic deletions of these glutamine- and
asparagine-enriched regions (see Fig. 5a). The med2-ΔIDR mutant grew poorly at
elevated temperature while med3-ΔIDR evinced no growth defect (Fig. S12a). Notably,
deletion of the C-terminal IDRs did not alter the protein expression levels of either
med2-ΔIDR or med3-ΔIDR (Fig. S12b, c).
We next examined the impact of these deletions on Hsf1 condensate dynamics during a
heat shock time course. Both med2-ΔIDR and med3-ΔIDR mutants exhibited defects in
Hsf1 condensate formation throughout the HS time course, paralleling the more
pronounced phenotypes of their corresponding gene deletions (Fig. 5b). At 10 min HS,
both med2-ΔIDR and med3-ΔIDR mutants displayed significant reductions in the
number of Hsf1 condensates relative to WT. However, the defects were less
pronounced than those observed in the corresponding gene deletion strains (Fig. 5c).
Next, we assessed the role of the Med2 and Med3 C-terminal IDRs in driving HSR gene
interactions using the 3C method at the 5-min HS time point. Both med2-ΔIDR and
med3-ΔIDR exhibited severe defects in HSR gene coalescence, disrupting cis-, trans-,
and intragenic interactions (Figs. 5d and S13a). These defects closely mirrored the
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phenotypes of the gene deletion mutants, indicating that Med2 and Med3 play a vital
role in driving HSR gene coalescence through their C-terminal IDRs.
To further define how the Med2 C-terminal IDR influences Hsf1 condensate formation
and HSR gene interactions, we assessed the occupancy of Hsf1, Pol II (Rpb1), and
Med15 at representative HSR genes under NHS and HS conditions. Deletion of MED2
markedly reduced recruitment of all three factors, and the med2-ΔIDR produced a
comparable reduction of Rpb1 and Med15 at each locus examined (Figs. 5e, S13b–d).
We next assessed the contribution of the Med2 and Med3 C-terminal IDRs to HSR gene
transcription during the heat shock time course by RT–qPCR. Deletion of the Med2 C-
terminal IDR (med2-ΔIDR) markedly impaired induction of HSR transcripts, including
HSP104 and SSA4, phenocopying the MED2 deletion, whereas med3-ΔIDR caused a
more modest transcriptional defect relative to med3Δ (Figs. 5f, S14). Together, these
Results
suggest that Med2 and Med3 regulate the HSR through their C-terminal IDRs,
with Med2 playing a dominant role in coordinating Hsf1 condensation, HSR gene
coalescence, and transcriptional activation.
Med16 Is required for the formation of functional transcriptional condensates
Observations described above support a model in which Tail triad–mediated multivalent
interactions integrate condensate assembly with higher-order chromatin organization to
drive robust transcription. By contrast, med16Δ profoundly disrupted HSR gene
coalescence without affecting Hsf1 condensate formation (Figs. 2, 3, S4), consistent
with the notion that genome reorganization occurs downstream of TF clustering16,46. To
determine how Hsf1 condensates in the med16Δ mutant differ from those in WT cells,
we performed live cell colocalization analyses to define the contribution of individual
Mediator subunits to transcriptional condensate composition. Heat shock-induced WT
cells exhibited robust recruitment of Mediator and Pol II into Hsf1 condensates, resulting
in dynamic transcriptional assemblies. Deletion of MED5 had little effect on condensate
formation, whereas loss of either MED2 or MED3 severely disrupted Hsf1, Mediator,
and Pol II condensates (Fig. 6a-d, g-j). Although med5Δ did not alter the fraction of cells
containing Hsf1, Mediator (Med15), or Pol II (Rpb3) condensates, it modestly reduced
the number of Mediator puncta per cell (Fig. 6d).
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In contrast, MED16 deletion did not impair Hsf1 condensate formation, consistent with
earlier observations (Fig. 2), but markedly reduced the fraction of cells containing
Mediator and Pol II condensates (Fig. 6a-c, g-i), as well as the proportion of Hsf1
puncta colocalized with Mediator or Pol II (Fig. 6e, f, k, l). While the number of Hsf1
puncta per cell was unchanged in med16Δ cells, Mediator and Pol II puncta were
substantially decreased (Fig. 6d, j), indicating that Med16 is required for efficient
assembly of Mediator and Pol II condensates and for stable incorporation of
transcriptional machinery into Hsf1 condensates. Notably, recruitment of Hsf1, Pol II,
and Med15 to HSR genes was comparable between heat-shocked WT and med16Δ
cells (Fig. S15), indicating that Med16 primarily regulates condensate organization
rather than factor recruitment. Together, these findings support a hierarchical model in
which Hsf1 condensate formation depends on the Mediator Tail triad, whereas
productive transcriptional condensates, HSR gene coalescence, and robust
transcriptional output additionally require Med16.
Discussion
While Mediator has been shown to be a central component of transcriptional
condensates in both lower and higher eukaryotes, how its individual subunits shape
condensate organization, genome architecture, and transcription remains unclear. Here,
we have investigated this question in Saccharomyces cerevisiae and identified a
hierarchical organization of the Mediator Tail module that links IDR-driven condensate
formation to higher-order chromatin architecture and robust transcription during the
HSR.
Mediator Tail triad subunits deploy their IDRs to drive Hsf1 condensate formation,
3D genome restructuring and HSR gene activation in acutely stressed cells
Our computational and genetic analyses identify Med2, Med3, and Med15 as an IDR-
rich (Fig. 1), phase-separation–competent Tail triad that is essential for the formation of
Hsf1 condensates (Fig. 2). These subunits exhibit extensive intrinsic disorder,
enrichment of glutamine/asparagine residues, and high LLPS propensity—sequence
features previously shown to promote condensate assembly through multivalent, weak
interactions
37,38 . We found that loss of any Tail triad component markedly suppressed
Hsf1 condensate formation and compromised HSR gene coalescence and transcription
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Male et al
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(Figs. 2, 3). Previous studies have shown that Med2-Med3-Med15 can physically
interact with gene-specific transcription factors and be directly recruited to UAS
regions34,35,64-66. Here, we have extended these findings by demonstrating that the IDRs
within the Tail triad are functionally essential and promote Hsf1 condensate formation
during the HSR. Notably, deletion or depletion of Med16, which disrupts the physical
linkage between the Tail triad and core Mediator35,66,70, does not abolish Hsf1
condensate formation (Fig. 2). Instead, the released IDR-rich Tail triad is sufficient to
interact with Hsf1 (suggested by Hsf1 ChIP analysis of med16∆ vs. WT; Figs. S10 and
S15), likely through multivalent IDR–IDR interactions, to enable heat shock–induced
transcriptional activation of HSR genes (Figs. 3d and S6). These findings, together with
the observation that deletion of either the ABD2 domain of Med15 or the C-terminal
IDRs of Med2 / Med3 profoundly affects Hsf1 condensate formation, 3D genome
architecture, and HSR gene activation (Fig. 5), highlight the ability of the Tail triad to
drive the three pillars of the heat shock transcriptional response, and do so via its IDRs.
The graded phenotypes observed upon IDR deletion—less severe than complete
subunit loss—suggest that these IDRs primarily tune condensate strength and
transcriptional efficiency rather than serving as absolute on/off switches.
Hsf1 condensate formation and genome restructuring can be mechanistically
uncoupled
An important implication of this work is that transcriptional condensate formation and 3D
genome organization are mechanistically separable. Deletion of any of the three IDR-
rich Mediator tail triad subunits disrupts both Hsf1 condensate formation and HSR gene
coalescence, consistent with a condensate-dependent mode of genome
organization16,31. In contrast, loss of Med16 selectively abolishes intergenic and
intragenic HSR gene interactions without impairing Hsf1 condensate assembly (Figs. 2
and 3). In this regard, the role of Med16 resembles that of two nuclear basket proteins,
Mlp1 and Nup2, that are critical for driving HS-induced HSR gene coalescence yet
dispensable for Hsf1 condensate formation33.
In addition, our data support a hierarchical regulatory model in which Hsf1–Mediator Tail
triad interactions nucleate Hsf1 condensates through IDR-mediated assembly, while
additional Mediator-dependent mechanisms orchestrated by the triad and Med16
stabilize Pol II- and Mediator-enriched transcriptional complexes and promote long-
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Male et al
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range chromatin contacts across HSR genes (model presented in Fig. 7). This
functional separation is conceptually aligned with recent studies demonstrating that
condensate formation and downstream transcriptional processes, including productive
transcription and genome restructuring, can be genetically and mechanistically
uncoupled16,31,33,46 . Together, these findings establish Hsf1 condensate nucleation and
genome organization as distinct yet coordinated layers of transcriptional regulation
during the HSR.
Med15 ABD2 integrates TF binding, condensate assembly, gene coalescence and
transcription
Med15 has emerged as a central integrator of HSR regulation. Its activator-binding
domains engage transcription factors through dynamic, “fuzzy” interfaces that have
been shown to promote LLPS and transcriptional activation
57,58,60,61. Our domain-
specific analyses reveal that the intrinsically disordered ABD2 region plays a uniquely
essential role, being required for Hsf1 condensate formation, HSR gene coalescence,
recruitment of Mediator and Pol II, and robust transcriptional activation (Figs. 4 and S9).
Mechanistically, ABD2 enhances the occupancy of Hsf1, Mediator, and Pol II at HSR
loci, thereby directly coupling condensate assembly to transcriptional output. These
findings extend prior work demonstrating that Med15 mediates transcription through
multivalent interactions with TFs
28,34,56,58,59,63 by directly linking a specific Med15 IDR to
condensate biology and genome organization. In contrast, other ABDs contribute more
modestly, primarily influencing intrachromosomal architecture and factor occupancy,
highlighting functional specialization among Med15 interaction surfaces. Whether the
dominant role played by ADB2 is due to its being the primary target of Hsf1 was not
addressed here. Other yeast and mammalian TFs have been observed to interact with
the four ABDs in a “fuzzy” manner
57,58,60 or primarily with the KIX domain55. Future work
will address the question of which Med15 domain(s) Hsf1 physically contacts.
Med16 promotes HSR gene coalescence by facilitating the formation of
productive transcriptional condensates
Our live cell colocalization analyses uncover a distinct and essential role for Med16 in
organizing the transcriptional machinery during the HSR. Med16 is specifically required
for the formation and/or stabilization of Mediator and Pol II condensates and their
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Male et al
-16-
incorporation into Hsf1 condensates (Fig. 6), while being dispensable for Hsf1
condensate assembly (Fig. 2). In the Med16 mutant, Hsf1 puncta form; however, these
condensates fail to efficiently recruit or retain Mediator and Pol II, and this correlates
with defective higher-order genome organization and reduced transcriptional output.
These observations indicate that Hsf1 condensate nucleation alone is insufficient to
drive HSR gene coalescence and is consistent with the findings of others that implicate
Pol II condensation as a key driver of cis- and trans- HSR intergenic interactions in HS
cells31. Together, these results position Med16 as a critical organizer of transcriptional
machinery, acting downstream of Hsf1 condensate formation to enable genome
organization and robust transcription during stress.
A hierarchical model for Mediator-driven transcriptional regulation
Together, our findings support a hierarchical and modular model of Mediator function
during the HSR. In this framework, Hsf1 cooperates with the intrinsically disordered,
phase-separation-prone Mediator Tail triad to nucleate transcriptional condensates
through multivalent IDR-mediated interactions, consistent with current models of
condensate-driven transcriptional activation
28,29,39,48,71. Within this triad, Med15—
particularly its intrinsically disordered ABD2 region— acts as a central integrator, linking
transcription factor binding to condensate assembly and transcriptional activation. The
C-terminal IDRs of Med2 and Med3 further reinforce condensate stability and enhance
recruitment of Mediator and Pol II, thereby promoting robust transcriptional output.
In parallel, the structured Mediator subunit Med16 functions independently of Hsf1
condensate nucleation to organize Mediator–Pol II assemblies and facilitate higher-
order chromatin interactions required for productive transcription. Med5 plays a
detectable, albeit comparatively minor, role in promoting the formation of Hsf1
condensates, stimulating 3D genome restructuring, and contributing to HS-induced
transcriptional activation (see Figs. 7 and S16 for a schematic model and graphic
summary). This division of labor supports a model in which condensate nucleation,
transcriptional machinery stabilization, and genome organization represent distinct yet
coordinated regulatory layers. Given the evolutionary conservation of Mediator
architecture
1,4,3,5 and the widespread role of IDR-driven transcriptional regulation, these
principles are likely to extend beyond the yeast HSR to diverse stress responses,
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Male et al
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enhancer-driven gene programs, and pathological transcriptional states in higher
eukaryotes.
We note that a recent study observed no effect on heat shock-induced Hsf1
condensation when Med15 was conditionally depleted using the anchor-away (AA)
technique31. A key difference between the AA approach and ours is that anchoring
Med15 in the cytoplasm depletes the nucleus of not only Med15 but also potentially
other factors (including other Mediator subunits35), in marked contrast to our subunit-
specific approach, which does not (Fig. S3g). These contrasting observations imply that
the Triad serves to counter an activity within one or more nuclear proteins that
suppresses inappropriate Hsf1 condensation, an idea that will be tested in future work.
Limitations
and future directions
While our findings establish a central role for Mediator Tail subunits in coordinating
transcriptional condensate formation, genome organization, and transcription during the
HSR, several important questions remain. First, although computational analyses and
genetic perturbations strongly implicate LLPS–driven mechanisms, direct biochemical
reconstitution of the Mediator Tail and interactions of individual subunits with Hsf1 will
be necessary to quantitatively define the properties of the condensates, constituent
stoichiometries, and dynamic behavior. Second, our study focuses on an acute stress-
responsive transcriptional program in yeast; whether the modular and hierarchical
principles uncovered here extend to developmental enhancers, super-enhancers, or
disease-associated regulatory elements in higher eukaryotes remains to be determined.
Finally, although Med16 emerges as a key organizer of the transcriptional machinery
and higher-order genome architecture, independent of Hsf1 condensate nucleation, the
specific molecular interfaces and cofactors that mediate these functions remain
unknown. One such candidate is Pol II, as cryo-EM analysis indicates that Med16
interacts with Rpb1 and Rpb9 in reconstituted Mediator-PIC complexes, an interaction
that does not directly involve any other Tail subunit (S. Nagai and R.D. Kornberg,
personal communication). Future studies integrating in vitro phase separation assays,
high-resolution live-cell imaging—including single- particle tracking— and genome-wide
chromatin conformation approaches such as Hi-C will be essential to elucidate how
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Male et al
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Mediator integrates condensate biology with 3D genome organization to regulate
transcriptional output across diverse cellular contexts.
Acknowledgements
We thank David Pincus and Surabhi Chowdhary for critical reading of the manuscript;
Amoldeep S. Kainth for Med15 schematics; Steve Hahn, Tom Ellis and Surabhi
Chowdhary for plasmid constructs; Kelly Tatchell for yeast knockout strains; and Shigeki
Nagai and Roger D. Kornberg for sharing unpublished information. This work was
supported by NIH R01GM13988 and an LSUHSC intramural grant awarded to DSG and
Ike Muslow post- and pre-doctoral fellowships awarded to GM, SM and LSR.
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Male et al
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Male et al
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Methods
Yeast Strain Construction
Saccharomyces cerevisiae Mediator subunit deletion mutants (med2Δ, med3Δ, med5Δ,
med15Δ and med16Δ) and MED15 domain deletion mutants were generated through
homologous recombination using W303-1A and LRY037 as recipient strains1. PCR
amplification of med2Δ::KAN-MX and med15Δ::KAN-MX was performed using chimeric
primers of the respective genes and plasmid pFA-6a-KAN-MX6 as template. In contrast,
med3Δ, med5Δ and med16Δ amplicons were amplified from genomic DNA isolated
from the respective strains contained in the Res-Gen deletion collection. MED15
domain deletion mutations were amplified from plasmid constructs2 (generous gift of
Steve Hahn, Fred Hutchinson Cancer Center; See Suppl. Table 2) and subsequently
transformed into either W303-1A or LRY037. Med15-13xMyc expressing strains were
generated by homologous recombination with the Med15 C-terminal region PCR-
amplified from ASK215 genomic DNA3. MED3–3×FLAG strains were generated by PCR
amplification of the 3×FLAG cassette from pFA6a-3×FLAG using MED3-specific
chimeric primers, followed by transformation into ASK218. MED15 domain deletions
were subsequently introduced into this background.
Degron-containing strains were generated by PCR amplification of the mini-AID*–9xMyc
cassette from pHyg-AID*–9xMyc, pKan-AID*–9xMyc, or pNat-AID*–9xMyc (ref. 4) using
chimeric primers homologous to the C-terminus of the target gene, followed by
transformation into LRY016-derived strains5. For microscopy experiments, RPB3-
mCherry::hphMX6 and MED15-mCherry::hphMX6 cassettes were amplified from
SCY002 and SCY001, respectively3, and introduced into LRY037 to generate LRY039
and LRY040. Corresponding Mediator subunit deletion mutants (med2Δ, med3Δ,
med5Δ, med15Δ and med16Δ) were subsequently constructed using LRY039 and
LRY040 as parental strains. Yeast strains, plasmids and primers used in this study are
listed in Suppl. Tables 1–3.
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CRISPR Editing
The intrinsically disordered regions (IDRs) of Med2 (residues 290-400) and Med3
(residues 301-374) were deleted using a CRISPR–Cas9 strategy following protocols
developed by the Tom Ellis lab, Imperial College London6. Single-guide RNAs (sgRNAs)
targeting the Med2 and Med3 IDRs were designed using the Benchling sgRNA design
tool. Forward and reverse complementary sgRNA oligonucleotides were
phosphorylated, annealed to generate double-stranded DNA, and cloned into the guide
RNA assembly vector pWS082 using BsmBI-based Golden Gate assembly. Correct
sgRNA insertion disrupts the GFP cassette on the vector backbone, enabling selection
of non-fluorescent colonies. Purified sgRNA plasmids, verified by Nanopore sequencing,
were digested with EcoRV and gel purified. The Cas9–sgRNA repair vector pWS173
was linearized by BsmBI digestion and gel-purified prior to yeast transformation.
Targeted deletion of the Med2 and Med3 IDRs was achieved by transforming strains
W303-1A, LRY039 and LRY040 with a mixture of linearized Cas9–sgRNA repair vector,
purified sgRNA-encoding DNA specific to Med2 or Med3, PCR-amplified donor DNA
containing 100 bp homology arms upstream and downstream of the deleted IDR region,
and salmon sperm DNA at a ratio of 100 ng: 200 ng: 3 μg: 50 μg, respectively. Pertinent
sgRNA sequences, donor templates, primers, and plasmids are provided in Suppl.
Tables 2 and 3.
Yeast Culture and Heat Shock Treatment
For molecular biology experiments, cells were cultivated in rich YPDA medium (1%
yeast extract, 2% peptone, 2% dextrose, and 20 mg/L adenine) at 30°C until reaching
mid-logarithmic growth (OD600 = 0.6-0.8). Thermal stress (heat shock (HS)) was applied
by rapidly elevating the culture temperature from 25° to 39°C through addition of an
equal volume of 55°C YPDA medium, followed by incubation at 39°C for designated
time points. The non-heat-shock (NHS) samples were mixed with an equal volume of
25°C YPDA and maintained at 25°C. Samples were kept at their respective
temperatures using a water bath with constant shaking.
For experiments involving auxin-induced degradation, a stock of Indole-3-acetic acid
(IAA, Sigma-Aldrich) was prepared in 100% ethanol to a final concentration of 100
mg/mL (570 mM). Cultures received IAA at a working concentration of 1 mM; incubation
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Male et al
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was performed at the time points indicated in the figures and text. To optimize
degradation, samples were kept at 25°C for up to 1 hr. Heat shock experiments were
performed by incubating cells for a predetermined length of time with IAA, followed by a
thermal upshift to 39°C by adding 55°C media supplemented with 1 mM IAA to maintain
a constant IAA concentration. The NHS sample was used as a control; for this, an
equivalent volume of 25°C medium containing 1 mM IAA was combined with the culture.
Growth Assays
For growth kinetics analysis, a single colony from either a wild-type or mutant strain was
inoculated into 10 ml of sterile yeast peptone dextrose adenine (YPDA) medium and
incubated for 16 hours at 30°C with orbital shaking to attain mid-exponential phase.
Subsequently, cultures were diluted to OD600 = 0.2 and incubated at either 30°C or 39°C
with constant orbital shaking (200 rpm) to assess temperature-dependent growth. OD600
measurements were taken at 1-h intervals for at least 8 h. Experiments were performed
in biological duplicates, and mean OD600 values were calculated to construct growth
curves illustrating the temporal relationship between optical density and time.
Spot Dilution Assays
Spot dilution assays were performed as previously described5. In brief, overnight
cultures were standardized to OD600 = 0.5, and 10-fold or 5-fold serial dilutions were
prepared. Aliquots (~4 μl) of each dilution were spotted onto YPDA plates using a 64-
prong stainless steel replicator. Plates were incubated for 48 hours at 30°C or 72 hours
at 24°C and 39°C to assess cell growth and viability.
Chromatin Immunoprecipitation (ChIP)
ChIP assays were performed as described previously7. Briefly, 50 ml of mid-log-phase
cultures (OD600 = 0.6-0.8) were treated with 1% formaldehyde for cross-linking after
heat shock at 39°C for the indicated time points. Unreacted formaldehyde was
quenched with 2.5 M glycine (final concentration, 375 mM). Cells were pelleted, lysed,
sonicated, and clarified. Chromatin lysates (500 μL aliquots from a total volume of 2000
μL) were then immunoprecipitated with 1.5 μL anti-Hsf1 antiserum8, 1.5 μL of anti-Rpb1
antiserum9 or 2.5 μL anti-Myc mAb (9E10; Santa Cruz Biotechnology, Inc.) for 16 h at
4°C with gentle rotation. Antibody-bound chromatin was captured using Protein A
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Male et al
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Sepharose beads (GE Healthcare) by incubating 16 h at 4°C. DNA was subsequently
purified using phenol-chloroform extraction. Locus-specific primers (Suppl. Table 4)
were used to quantify ChIP DNA by quantitative PCR (qPCR) on a CFX384 Touch Real
Time PCR System (Bio-Rad). Data was normalized to 20% input DNA, and the
percentage of input was calculated accordingly.
Fluorescence Microscopy and Image Analysis
Hsf1-mNeonGreen (Hsf1-mNG) puncta imaging was performed as previously
described1. Cells were grown in synthetic complete dextrose (SDC) medium
supplemented with 0.1 mg ml⁻¹ adenine at 30°C to early log phase, then adhered to a
VaHEAT substrate (Interherence GmbH, Germany) coated with 100 µg ml⁻¹
Concanavalin A (ConA; Sigma-Aldrich) in ddH₂O. After removal of unbound cells and
medium, fresh SDC medium was added, and the chamber was sealed with a coverslip
to minimize evaporation. For mAID strains, mid-log phase cells were pretreated with
either vehicle control or auxin for 1 h prior to attachment onto ConA-coated VaHEAT
substrates, followed by imaging at 25° and 39°C. Imaging was performed using an
Olympus Yokogawa CSU-W1 spinning disk confocal system equipped with Hamamatsu
Fusion sCMOS cameras and controlled by cellSens Dimension software. Z-stacks of 11
planes (0.5 µm spacing) were acquired at the indicated time points using 488 nm
excitation (10% laser power, 200 ms exposure) for mNeonGreen-tagged proteins and
561 nm excitation (15% laser power, 200 ms exposure) for mCherry-tagged proteins.
Hsf1–mNG puncta were quantified as described previously1. The percentage of cells
containing Hsf1–mNG, Med15–mCherry, or Rpb3–mCherry foci (Figs. 2a,b, 6a,g) was
determined using the “Cells” module in Imaris v10.2.0. This analysis included cells
exhibiting ≥2 foci. During Imaris segmentation, the nuclear diameter and spot diameter
were set to 2 µm and 0.48 µm, respectively10. For Hsf1/Med15 and Hsf1/Rpb3
colocalization analysis (Fig. 6 e, f, k, l), foci were detected using the Imaris “Spots”
module with a spot diameter of 0.48 µm. Colocalization was assessed by measuring the
shortest volume-to-volume distance between spots, and foci were considered
colocalized when this distance was ≤0.45 µm. Image cropping and 3D reconstruction
were performed using FIJI/ImageJ (v1.53t)
11. All quantified data were plotted using
GraphPad Prism v10.
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Taq I Chromosome Conformation Capture (Taq I - 3C)
Taq I - 3C was performed as previously described5,12. Briefly, samples were crosslinked
with 1% formaldehyde (15 min), quenched with 0.363 M glycine (10 min), and lysed for
40 min using glass beads in FA Lysis Buffer. Lysates were aliquoted and subjected to
Taq I digestion (20 U/μL, 7 h, 60°C) and Quick T4 DNA ligation (10,000 cohesive units,
2 h, 25°C). Samples were then treated with RNase A (30 ng/μL, 40 min, 37°C) and
Proteinase K (70 ng/μL, 16 h, 65°C), followed by phenol-chloroform extraction, ethanol
precipitation, and qPCR quantification using locus-specific primers (Suppl. Table 5).
Reverse Transcription-qPCR (RT-qPCR)
RT-qPCR was performed as described5 using 25 mL cell culture aliquots. Cells were
metabolically arrested and lysed using glass beads and acidic phenol-chloroform,
followed by RNA extraction using acidic phenol-chloroform. Residual DNA was removed
(Turbo DNA-free kit), and cDNA was synthesized (High-Capacity cDNA Reverse
Transcription Kit, both from Applied Biosystems). cDNA was quantified on a CFX384
System using gene-specific primers (Suppl. Table 6) and a standard curve generated
from genomic DNA. Quantified DNA was normalized to SCR1.
Immunoblot Analysis
Immunoblot analysis was performed as previously described5. Briefly, log-phase cells
were metabolically arrested with 20 mM sodium azide for 30 seconds, lysed, and
proteins precipitated with trichloroacetic acid. Protein pellets were dried out and
resuspended in Thorner buffer (8 M urea, 5% SDS, 40 mM Tris-HCl pH 6.8, 0.1 mM
EDTA, 0.4 mg/mL Bromophenol Blue, 1% 2-Mercaptoethanol). Samples were
neutralized with 2 M Tris base, incubated at 42°C for 15 minutes, and separated on
SDS 4-20% polyacrylamide TGX precast gels (Bio-Rad). Proteins were transferred to
PVDF membranes (Amersham, 0.2 μm) (or nitrocellulose, Bio-Rad, for AID
experiments), blocked with 5% nonfat milk in TBST (10 mM Tris-HCl, pH 8, 150 mM
NaCl, 0.05% Tween20) overnight at 4°C, and probed with primary antibodies (Myc,
1:1000, Santa Cruz sc-40; H3, 1:1000, Abcam ab1719; Pgk1, 1:10,000, ThermoFisher
459250) and secondary HRP-conjugated antibodies (1:5000, Santa Cruz) for 1 h.
Protein bands were detected using Enhanced Chemiluminescence (ECL) reagent
(Thermo Scientific 34580).
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Male et al
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Intrinsic Disorder, Structural Confidence and Phase Separation Analyses
Protein sequences were retrieved in FASTA format and analyzed using complementary
sequence-based and machine-learning approaches to quantify intrinsic disorder and
liquid–liquid phase separation (LLPS) propensity. Intrinsic disorder was predicted using
IUPred3 (long mode)13 and PONDR (VSL2)14 to generate per-residue disorder
probabilities; residues with scores ≥0.5 were classified as disordered. The fraction of
disordered residues per protein was calculated to determine the intrinsic disorder region
(IDR) abundance. LLPS propensity was evaluated using FuzDrop (probability of
spontaneous LLPS, pLLPS)
15 and PhasePred16, extracting PS-self and PS-part scores
for each protein. All the graphs were generated using GraphPad Prism (v10).
Structural confidence profiles were obtained from AlphaFold317 models, and per-residue
predicted Local Distance Difference Test (pLDDT) scores were used as an orthogonal
measure of structural order, with regions of pLDDT <70 considered indicative of
structural flexibility/disorder.
Intra-molecular interaction maps were generated using the FINCHES online18 tool
(Mpipi-GG method; window size = 31). Amino acid composition was calculated using
ExPASy ProtParam19. Default parameters were used for all analyses unless otherwise
specified.
Statistical Analysis
Statistical analyses were performed using GraphPad Prism, as specified in the figure
legends. Differences between individual means were assessed using two-tailed,
unpaired t tests assuming equal variance. For violin plot analyses, statistical
significance was determined by one-way ANOVA.
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19. Wilkins, M.R., Gasteiger, E., Bairoch, A., Sanchez, J.C., Williams, K.L., Appel, R.D.,
and Hochstrasser, D.F . (1999). Protein identification and analysis tools in the ExPASy
server. Methods Mol Biol 112, 531–552. 10.1385/1-59259-584-7:531.
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a c
Med2
Med3
Med15
Med5
Med16
0
1
e
f
d
b
Order
Disorder
Med2Med3Med15Med5Med16
0
25
50
75
100
PONDR score
Med2Med3Med15Med5Med16
0
25
50
75
100
IUPred3 score
FuzDrop prediction
g
Residue position
0 200 400 600 800 1000
0.0
0.5
1.0
Med15
0 100 200 300 400
0.0
0.5
1.0
Med3
0 200 400 600 800 1000
0.0
0.5
1.0
Med5
0 200 400 600 800 1000
0.0
0.5
1.0 Med16
Disorder score
0 100 200 300 400
0.0
0.5
1.0
Med2
PONDR
IUPred3
Med3
Med5
Med15
Med16
Med2
Tail module
Very high (pLDDT >90)
Confident (90 > pLDDT > 70)
Low (70 > pLDDT > 50)
Very low (pLDDT < 50)
Figure 1
Order
Disorder
% of Polypeptide% of Polypeptide
0 0.5 1.0 1.5
0
0.2
0.4
0.6
0.8
1.0 Med2
Med3
Med15
Med5
Med16
Triad
PS-part score
PS-self score
Phase separation tendency
0 20 40 60 80 100
0
0.2
0.4
0.6
0.8
1.0 Med2
Med3
Med15
Med5
Med16
R2=0.9515
PS-part score
% of IDR
Phase separation correlation
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Figure 1 | Mediator Tail subunits Med2, Med3, and Med15 exhibit high
intrinsic disorder and a strong predicted propensity for liquid–liquid phase
separation.
a, Schematic of the Saccharomyces cerevisiae Mediator complex illustrating its
modular organization and subunit composition (adapted from Philip et al., eLife,
2015 (ref.5).
b, Intrinsic disorder predictions for the indicated Mediator Tail subunits based on
PONDR and IUPred3 analyses; residues with prediction scores ≥0.5 are classified
as disordered.
c, Comparative disorder prediction profiles of the indicated Mediator Tail subunits
generated using IUPred3 (magenta) and PONDR VSL2 (blue).
d, Phase separation propensity of Mediator Tail subunits predicted by PhaSePred,
shown as PS-part and PS-self scores; the Mediator Tail subunit triad (Med2,
Med3, and Med15) is highlighted (dotted box).
e, Correlation between PS-part scores (PhaSePred) and the proportion of
intrinsically disordered residues (PONDR) across the indicated Mediator subunits.
f, Heatmap of predicted liquid–liquid phase separation probabilities for Mediator
Tail subunits calculated using FuzDrop, with darker shading indicating higher
propensity.
g, Predicted structures of individual Mediator Tail subunits and the assembled Tail
module generated using AlphaFold3. pLDDT, Predicted Local Distance Difference
Test.
.
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a
dc
Imaris 3D-
models
Hsf1-
mNeonGreen
HS time points
0’ 5’ 10’ 60’
Hsf1-
mNeonGreen
HS time points
Imaris 3D-
models
0’ 5’ 10’ 60’
med16∆
Hsf1-
mNeonGreen
HS time points
Imaris 3D-
models
b
0’ 5’ 10’ 60’
WT
0’ 5’ 10’ 60’
med2∆
med15∆
med3∆
0’ 5’ 10’ 60’
med5∆
0’ 5’ 10’ 60’
Figure 2
WT
Med15-mAID
Med16-mAID
MED15-mAID MED16-mAID
0’ 5’ 10’ 30’
HS time points
WT
med2∆
med3∆
med5∆
med15∆
med16∆
0 2.5 5 10 15 30 60
0
20
40
60
80
100
% of cells with Hsf1-puncta
0 5 10 15 30
0
20
40
60
80
100
HS time points (in min)
0’ 5’ 10’ 30’
Hsf1-
mNeonGreen
Imaris 3D-
models
HS time points (in min)
Gene Deletions Conditional Depletions
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Figure 2 | Mediator Tail subunits regulate Hsf1 condensate kinetics during
heat shock.
a, Representative fluorescence micrographs and corresponding three-dimensional
reconstructions (Imaris v10.2.0, Cells module) of Hsf1 condensates in the
indicated wild-type (WT) and deletion strains during a 39°C heat shock time
course. 0 min, cells maintained at 25°C. Scale bars, 1 µm; for Med15-mAID and
Med16-mAID, 2 µm. Scale bar for Imaris-rendered 3D models, 0.5 µm.
b, As in a, except cells expressing the indicated mAID-tagged proteins were
imaged. Prior to initiating heat shock, cells were treated with 1 mM IAA for 60 min
at 25°C. Scale bars, 2 µm.
c,d, Quantification of the fraction of cells containing two or more Hsf1 condensates
(n ≥ 2) during heat shock. Data represent the mean of two independent biological
replicates; error bars indicate s.d.
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WT Med15-mAID Med16-mAID
0
20
40
60
80
100
120
✱✱✱
✱
WT med5Δ med2Δ med3Δ med15Δ med16Δ
0
20
40
60
80
100
120
✱✱✱
ns
a
b
c
UAS-Promoter
Intragenic interactions
Interchromosomal interactions
Intrachromosomal interactions
WT med5Δ med2Δ med3Δ med15Δ med16Δ
0
20
40
60
80
100
120
✱✱✱
WT
med5Δ
med16Δ
med2Δ
med3Δ
med15Δ
d
MED
Gene deletions
No protein
MED
mAID
MED
mAID
+Auxin
Protein degradation
mRNA levels
0 20
0.0
0.2
0.4
0.6
ns
**
***
***
ns **
Figure 3
Normalized Interaction Frequency
HSP104 F+1550/ SSA2 F+1368
WT Med15-mAID Med16-mAID0
20
40
60
80
100
120
✱✱✱
HSP104 F+1550/ SSA2 F+1368
HSP104 F+1550/ HSP82 F+740
Normalized Interaction Frequency
HSP104 F+1550/ HSP82 F+740
SSA4 F-268/ F+198
Promoter-Terminator
WT
med5
Δ
med2
Δ
med3
Δ
med15Δmed16Δ
0
20
40
60
80
100
120
✱✱✱
**
SSA4 F+198/ F+2255
WT
med5Δmed2Δmed3Δmed15Δmed16Δ
0
20
40
60
80
100
120
✱✱✱
ns
Normalized Interaction Frequency
Relative mRNA levels
SSA4
HS time points (in min)
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Figure 3 | Mediator Tail subunits drive heat-shock-induced HSR gene
interactions and promote HSR mRNA abundance.
a, Schematic overview of the orthogonal experimental strategies—gene deletion
and conditional depletion—used to assess the role of Mediator Tail subunits in
Heat Shock Response (HSR) gene interactions.
b, c, Normalized interaction frequencies of HSR genes in the indicated strains
subjected to a 5 min heat shock at 39°C. b shows representative cis- and trans-
intergenic interactions, and c shows intragenic interactions. Pairwise tests used
forward (F; sense-strand) primers positioned nearby the indicated Taq I site;
primer locations are illustrated in Fig. S1 of Mohajan et al (ref. 33). Data are
presented as mean ± s.d.; N = 2-8 independent samples (as indicated). Statistical
significance relative to WT was determined using an unpaired, two-tailed t-test (*,
P < 0.05; **, P < 0.01; ***, P < 0.001; ns, not significant). Location of gene loci:
HSP104 and SSA2, Chr XII; HSP82, Chr XVI; HSP12, Chr VI; SSA4, Chr V.
d, Relative SSA4 mRNA abundance measured by RT–qPCR. Data represent
mean ± s.d. from the indicated number of independent biological replicates.
Statistical significance relative to WT was assessed as above.
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a
b
0 2.5 5 10 15 30 60
0
20
40
60
80
100
WT
med15∆
∆kix
∆abd1
∆abd2
∆abd3
Intrachromosomal interactions Interchromosomal interactions
WT Δkix
Δabd1Δabd2Δabd3
med15Δ
0
20
40
60
80
100
120
140
ns
ns
***
***
ns
UAS-Promoter
Intragenic interactions
WT Δkix
Δabd1Δabd2Δabd3
med15Δ
0
20
40
60
80
100
120
ns
ns
** **
ns
d
WT Δkix Δabd1 Δabd3 Δabd2 med15Δ
0
2
4
6
8
*
***
ns ns
***
Disordered
Ordered
0
0.5
1
1 101 201 301 401 501 601 701 801 901 1001
13 80 116 255 277 404 418 696
Med15
1081
Disorder score
WT
∆kix
∆abd1
∆abd2
∆abd3
med15∆*
mRNA levels
c
e f
0 5
0
10
20
30
40
ns
*
ns
*** ***
*
*
**
0 5
0.0
0.5
1.0
1.5
2.0
ns
*
* *
0 5
0.0
0.5
1.0
1.5
ns
*
p=0.091
p=0.058
Chromatin Immunoprecipitation
0 5
0
2
4
6
8
10
ns
**
**
*** ***
**
WT Δkix
Δabd1Δabd2Δabd3
med15Δ
0
25
50
75
100
125
150
ns
✱✱✱
Normalized Interaction Frequency
Figure 4
% of cells with Hsf1-puncta
HS time points (in min)
10 min HS
Hsf1-puncta per cell
UBI4 F+524/ SSA2 F+1368 SSA4 F-268/ SSA4 F+198HSP104 F+1550/ HSP12 F-47
% of Input
Hsf1 at HSP104 UAS
% of Input
Relative mRNA levels
0 20
0.00
0.05
0.10
0.15
*
**ns
0 20
0.00
0.05
0.10
0.15
0.20
**
ns **
Pol II at HSP104 ORF
Med17 at HSP104 UAS Med3 at HSP104 UAS
HSP104
SSA4
Relative mRNA levels
HS time points
KIX ABD1 ABD2 ABD3
min
min
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Figure 4 | The Med15 ABD2 domain is required for Hsf1 condensate formation
and heat-shock-induced HSR gene interactions.
a, Schematic of Med15 domain architecture and deletion constructs, with the
domains deleted indicated. Predicted intrinsic disorder across Med15 was assessed
by IUPred, with amino acid positions shown.
b, Quantification of cells containing two or more Hsf1 condensates in WT and
Med15 domain deletion strains during heat shock using Imaris v10.1.0 (Cells
module). Data represent the mean of two independent biological replicates; error
bars indicate s.d.
c, Violin plot showing the distribution of Hsf1 puncta per cell in WT and med15
mutants after 10 min of heat shock, quantified as in b. Horizontal lines indicate
median values; dashed lines indicate quartiles. Statistical significance relative to WT
was assessed by one-way ANOVA (*, P < 0.05; **, P < 0.01; ***, P < 0.001).
d, Normalized interaction frequencies of Heat Shock Response (HSR) genes
measured by Taq I - 3C in the indicated strains after 5 min HS, showing
intrachromosomal (cis), interchromosomal (trans), and intergenic interactions. Data
represent mean ± s.d. from two independent biological replicates. Statistical
significance relative to WT was determined using unpaired two-tailed t-test (*,
P < 0.05; **, P < 0.01; ***, P < 0.001).
e, ChIP analysis of Hsf1, Pol II large subunit Rpb1, and Mediator subunits Med17
(Head) and Med3 (Tail) at the HSP104 locus in the indicated strains. Data represent
mean ± s.d. from two independent biological replicates. Statistical significance
relative to WT was assessed as in d.
f, Relative mRNA levels of HSP104 and SSA4 measured by RT–qPCR at the
indicated heat-shock time points in the indicated strains. Data represent mean ± s.d.
from two independent biological replicates.
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a
b
d Intrachromosomal interactions Interchromosomal interactions
UAS-Promoter
Intragenic interactions
WT
med2
Δ
med2-
ΔIDR
med3
Δ
med3-
ΔIDR
0
20
40
60
80
100
120
140
ns ns
✱
WT
med2
Δ
med2-
ΔIDR
med3
Δ
med3-
ΔIDR
0
20
40
60
80
100
120
ns ns
✱✱✱
WT
med2
Δ
med2-
ΔIDR
med3
Δ
med3-
ΔIDR
0
20
40
60
80
100
120
ns
ns
✱✱✱
0 5 10 15 30 60
0
20
40
60
80
100
WT
med2∆
med2-∆IDR
med3∆
med3-∆IDR
c
WT med2Δ med2-ΔIDR med3Δ med3-ΔIDR
0
2
4
6
8 ✱✱✱
✱
✱
f
e
0 5
0
2
4
6
8
ns
p=0.067 p=0.068
0 5
0.0
0.5
1.0
1.5
2.0
ns **
**
Chromatin immunoprecipitation
WT
med2Δ
med2-ΔIDR
0 20
0.0
0.1
0.2
0.3
0.4
ns
*
*
**
ns
0 20
0.0
0.2
0.4
0.6
WT
med2Δ
med2-∆IDR
med3Δ
med3-ΔI DR
ns
** **
***
*
mRNA levels
HS time points
Figure 5
% of cells with Hsf1-puncta
HS time points (in min)
Hsf1-puncta per cell
HSP104 F+1550/ SSA4 F+198
Normalized Interaction Frequency
HSP104 F+1550/ SSA2 F+1368 SSA4 F-268/ SSA4 F+198
0 5
0
10
20
30
40
ns
**
*
Hsf1 at SSA4 UAS Pol II at SSA4 ORF Med15 at HSP104 UAS
% of InputRelative mRNA levels
0 100 200 300 400
0.0
0.5
1.0
290-400
1 105 431269 381140
N-enrichedCharged
Med2
0 100 200 300 400
0.0
0.5
1.0
301-374
Disorder score
Med3
HSP104 SSA4
1 225 304 374236
Q, N-enrichedQA
398
min
min
***
10 minutes HS
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Figure 5 | Med2 and Med3 C-terminal IDRs regulate the heat-shock response
by modulating Hsf1 clustering, genome topology, and Hsf1, Mediator and
Pol II occupancy.
a, Domain architecture of Med2 and Med3 with accompanying IUPred3 analysis.
Dashed lines indicate locations of CRISPR-Cas9–targeted deletions of the C-
terminal IDRs.
b, Hsf1 puncta formation in WT and Med2 or Med3 gene / domain deletion strains
during a heat shock time course.
c, Violin plot showing the distribution of Hsf1 puncta per cell after a 10 min heat
shock, quantified using Imaris. Solid horizontal lines indicate median values.
Discontinuous lines depict quartiles. Statistical significance relative to WT was
determined by one-way ANOVA. *, P < 0.05; **, P < 0.01; ***P < 0.001.
d, Normalized interaction frequencies of Heat Shock Response (HSR) genes
measured by Taq I - 3C in the indicated strains after 5 min HS, showing
intrachromosomal (cis), interchromosomal (trans), and intergenic interactions.
Data represent mean ± s.d. (n = 2). Statistical significance relative to WT was
determined using an unpaired two-tailed t-test (*, P < 0.05; **, P < 0.01;
***P < 0.001).
e, ChIP analysis of Hsf1, Rpb1 and Med15 at representative HSR genes in the
indicated strains. Data represent mean ±s.d. (n = 2).
f, Relative HSP104 and SSA4 mRNA levels measured by RT–qPCR in the
indicated strains following heat shock. Data represent mean ± s.d. from
independent biological replicates (n=2). Statistical significance relative to WT was
determined using an unpaired two-tailed t-test (*, P < 0.05; **, P < 0.01;
***P < 0.001).
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a Figure 6b c
WT med3Δ med5Δ med16Δ
0
20
40
60
80
100 Hsf1 Med15
ns
ns ns ✱
WT med5Δ med16Δ
0
10
20
30
40
50
60
70
✱
ns
WTmed3∆med5∆med16∆
10’ HS
Hsf1 Med15 Merge
WT med2Δ med5Δ med16Δ
0
20
40
60
80
100 Hsf1 Rpb3
ns
ns
ns
✱✱
WT med5Δ med16Δ
0
10
20
30
40
50
60
70
✱✱
ns
WT med5Δ med16Δ
0
2
4
6
ns
***
WT med5Δ med16Δ
0
2
4
6
***
***
d e f
g h i
j
10’ HS
Hsf1 Med15 Merge
10’ HS
Hsf1 Rpb3 Merge
Merge
10’ HS
Hsf1 Rpb3
med16∆ WTmed2∆med5∆
k l
WT med3Δ med5Δ med16Δ
0
2
4
6
8
10
12
Hsf1 Med15
ns
ns
✱✱✱ ✱✱✱
WT med2Δ med5Δ med16Δ
0
2
4
6
8
10
Hsf1 Rbp3
ns ns ns ✱✱✱
Puncta per cell
% of colocalized Hsf1 puncta
% of cells with puncta
shortest distance (µm)
Hsf1 foci to Med15 foci
Puncta per cell
% of cells with puncta
% of colocalized Hsf1 puncta
shortest distance (µm)
Hsf1 foci to Rpb3 foci
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Figure 6 | Med16 is required for HS-induced formation of Mediator and Pol II
condensates.
a, g, Representative live-cell fluorescence images of the indicated strains
expressing Hsf1–mNG, Med15–mCherry and Rpb3–mCherry, marking Hsf1,
Mediator, and Pol II, respectively, after 10 min HS. Scale bars, 2 µm.
b, h, Representative 3D reconstructions (Imaris Spots module) corresponding to a
and g, showing Hsf1–Med15 (b) and Hsf1–Pol II (h) condensates in WT, med5Δ,
and med16Δ cells after 10 min HS. Foci were detected using a fixed diameter of
0.48 µm. Light shading denotes Hsf1 puncta colocalized with Med15 (b) or Rpb3
(h). Scale bars, 0.5 µm.
c, i, Percentage of cells containing ≥2 Hsf1–Mediator (c) or Hsf1–Pol II (i) co-
condensates after 10 min HS. Data represent mean ± s.d. from two independent
biological replicates.
d, j, Violin plots showing the number of Hsf1, Mediator (d), and Hsf1, Rpb3 (j)
puncta per cell after 10 min of heat shock, quantified using Imaris Cells module.
Data from two independent biological replicates are shown. Horizontal lines
indicate median values.
e, k, Fraction of Hsf1 puncta colocalized with Med15 (e) or Pol II (k), quantified
from 3D reconstructions using Imaris Spots module. Approximately 100 cells per
strain were analyzed across two independent biological replicates. Data are
mean ± s.d.
f, l, Violin plots showing the distribution of the shortest volume-to-volume
distances between Hsf1 and Med15 foci (f) or Hsf1 and Rpb3 foci (l) after 10 min
HS in the indicated strains. Center lines indicate medians.
Statistical significance was determined using a nonparametric two-tailed test for
comparisons in c, e, i, k and one-way ANOVA for d, f, j, l. *, P < 0.05, **, P < 0.01,
***, P < 0.001.
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HS
Hsf1
Pol II
Mediator
HSR
Functional condensates
Med2/ Med3/ Med15 (IDR enriched)
Med16
Med5
Moderate
transcription Robust transcription
HSR gene coalescence
Condensate
assembly
HSR
Hierarchical
Roles
Formation
of Clusters
Figure 7
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Figure 7 | Hierarchical model of Mediator Tail subunit regulation of the heat shock response.
Upon acute heat shock (HS), Hsf1 trimerizes and, together with Mediator, Pol II and associated
factors, is recruited to the upstream regulatory regions of HSR genes, activating their transcription.
Hsf1, Mediator, and Pol II rapidly assemble into discrete intranuclear clusters and do so in a
kinetically indistinguishable manner. Genetic analysis suggests that these subsequently mature into
functional condensates that promote intergenic interactions among HSR gene loci, accompanied by
enhanced levels of transcription. Within this framework, Mediator Tail subunits act hierarchically:
the IDR–rich subunits Med2, Med3, and Med15 are essential for all steps; Med16 facilitates
transcriptional condensate maturation and HSR gene activation and is essential for the global 3D
restructuring of HSR genes; Med5 modestly enhances HSR interactions and HSR transcriptional
output. Large multicolored arrows indicate the steps at which the indicated Tail subunits contribute.
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