In toto analysis of multicellular arrangement reduces embryonic tissue diversity to two archetypes that require specific cadherin expression

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This study developed nuQLOUD, an imaging and computational framework that converts developing tissues into nuclear-position “clouds” to extract cell-type-agnostic architectural features, and applied it to whole developing zebrafish embryos. The authors found that global tissue diversity across the embryo can be reduced to two main architectural archetypes—“amorphous” and “crystalline”—based on organizational patterns. They then examined molecular drivers and showed that cadherin cell-adhesion molecules have expression domains that segregate according to these archetypes, with N-cadherin identified as a general driver of the amorphous archetype via spatiotemporal analysis and targeted cadherin perturbations across organs. The paper does not explicitly discuss any limitation such as tissue- or species-specific generalizability, but focuses on embryonic zebrafish developmental architecture and cadherin-driven segregation. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Breakthroughs in transcriptomics are providing exciting new ways to characterise cellular diversity within organisms. Yet, organisms are more than the sum of their differentiated cells, as the biological function of most cell types only emerges when they are organised into tissues with characteristic architectures. The mechanisms that drive architectural diversification at the tissue level remain poorly understood, in part due to a general lack of methods for directly comparing different organisational patterns. Here we establish nuQLOUD, an efficient imaging and computational framework that reduces complex tissues to clouds of nuclear positions, enabling the extraction of cell-type agnostic architectural features. Applying nuQLOUD to whole developing zebrafish embryos reveals that global tissue diversity can be efficiently reduced to two primary archetypes, termed 'amorphous' and 'crystalline'. We investigate the molecular drivers of tissue archetypes by focussing on cadherin cell adhesion molecules and demonstrate that the expression domains of major cadherins segregate along tissue-archetypal lines. Further spatiotemporal analysis and targeted perturbation of cadherin expression in different organs identifies N-Cadherin as a general driver of the amorphous archetype. Thus, this systematic investigation of architectural diversity provides a new way to conceptualise embryonic organisation and understand drivers of tissue diversification within a standardised framework.
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Abstract Breakthroughs in transcriptomics are providing exciting new ways to characterise cellular diversity within organisms1–3. Yet, organisms are more than the sum of their differentiated cells, as the biological function of most cell types only emerges when they are organised into tissues with characteristic architectures4. The mechanisms that drive architectural diversification at the tissue level remain poorly understood, in part due to a general lack of methods for directly comparing different organisational patterns. Here we establish nuQLOUD, an efficient imaging and computational framework that reduces complex tissues to clouds of nuclear positions, enabling the extraction of cell-type agnostic architectural features. Applying nuQLOUD to whole developing zebrafish embryos reveals that global tissue diversity can be efficiently reduced to two primary archetypes, termed ‘amorphous’ and ‘crystalline’. We investigate the molecular drivers of tissue archetypes by focussing on cadherin cell adhesion molecules and demonstrate that the expression domains of major cadherins segregate along tissue-archetypal lines. Further spatiotemporal analysis and targeted perturbation of cadherin expression in different organs identifies N-Cadherin as a general driver of the amorphous archetype. Thus, this systematic investigation of architectural diversity provides a new way to conceptualise embryonic organisation and understand drivers of tissue diversification within a standardised framework. Competing Interest Statement The authors have declared no competing interest.

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last seen: 2026-05-20T01:45:00.602351+00:00