Biases introduced by Ficoll-based isolation in acute myeloid leukemia sample analyses support the use of hemolysis

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

ABSTRACT Acute myeloid leukemia (AML) is a heterogeneous malignancy whose characterization relies on immunophenotyping and molecular profiling. While hemolysis is recommended for leukocyte isolation in clinical diagnostics, Ficoll-based density gradient centrifugation is widely used in research and biobanking. Here, we evaluated the impact of Ficoll isolation on commonly performed analyses of AML samples. Ficoll altered flow cytometry-based characterization by systematically enriching lymphocytes and AML blasts while depleting granulocytes. The increased T-cell content impaired AML engraftment in NSG mice, as T cells mediated terminal graft-versus-host disease. Although Ficoll had minimal impact on ex vivo AML blast expansion or chemotherapy response, RNA sequencing identified 1,136 differentially expressed genes compared with hemolysis, with Ficoll-processed samples notably leading to an overestimation of leukemic stem cell gene set expression. Immunogenomic deconvolution highlighted that Ficoll leads to an overestimation of CD8 + T-cell and monocyte abundances in sequenced samples. Mutation calling from RNA-seq data revealed substantial discrepancies between methods, including failure to detect a clinically relevant DNMT3A R882 mutation in a Ficoll-processed sample. Together, these findings support the systematic use of hemolysis to preserve cellular diversity and avoid unpredictable biases introduced by Ficoll-based isolation.
Full text 1,621 characters · extracted from oa-doi-fallback · click to expand
ABSTRACT Acute myeloid leukemia (AML) is a heterogeneous malignancy whose characterization relies on immunophenotyping and molecular profiling. While hemolysis is recommended for leukocyte isolation in clinical diagnostics, Ficoll-based density gradient centrifugation is widely used in research and biobanking. Here, we evaluated the impact of Ficoll isolation on commonly performed analyses of AML samples. Ficoll altered flow cytometry-based characterization by systematically enriching lymphocytes and AML blasts while depleting granulocytes. The increased T-cell content impaired AML engraftment in NSG mice, as T cells mediated terminal graft-versus-host disease. Although Ficoll had minimal impact on ex vivo AML blast expansion or chemotherapy response, RNA sequencing identified 1,136 differentially expressed genes compared with hemolysis, with Ficoll-processed samples notably leading to an overestimation of leukemic stem cell gene set expression. Immunogenomic deconvolution highlighted that Ficoll leads to an overestimation of CD8+ T-cell and monocyte abundances in sequenced samples. Mutation calling from RNA-seq data revealed substantial discrepancies between methods, including failure to detect a clinically relevant DNMT3A R882 mutation in a Ficoll-processed sample. Together, these findings support the systematic use of hemolysis to preserve cellular diversity and avoid unpredictable biases introduced by Ficoll-based isolation. Competing Interest Statement The authors have declared no competing interest. Footnotes ↵* Co-first authors https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE313042

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-06-02T02:00:03.124865+00:00
License: CC-BY-4.0