Sign in
Cell BiologyFrontiers in Immunology
Peer-reviewed journal article

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

Bianca E SilvaiD, Alison DaubryiD, Charline Faville, Adrien De VoeghtiD, Jacques Foguenne, Mégane JassiniD, Oswin KwaniD, Leslie Correia Da Cruz, Gabriele Carriglio, Sebastien Charles, Alexandra VelosoiD, Frédéric BaroniD, Jo CaersiD, André GothotiD, Grégory EhxiD

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.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISChoi '19Seliverstov '20Tian '26Milne '19Adhikari '26Lewis '24
59% semantic matchBioinformatics
Jang-Sik Choi, Nguyen Thanh Nguyen, Hyung‐Gi Byun+2 more·bioRxiv·Apr 30, 2019