Computational deconvolution of drug sensitivity via single-cell-to-bulk transcriptome mapping

Coudray et al. (PLOS Comput Biol 2026): CLIMB and CLIFF deconvolve bulk RNA-seq into cell-type composition and bulk drug-sensitivity data into cell-subtype/single-cell profiles; validated on leukemic cell-line mixtures and pseudo-bulk data, applied to the beatAML ex vivo screen (121 compounds). Focus is acute myeloid leukemia; no brain-tumor application stated in the abstract.

Authors / organisation

Coudray A, Forey R, Bejar Haro B, Martins F, Carlevaro-Fita J, Sheppard S, Offner SE, La Manno G, Obozinski G, Trono D.

Venue

PLOS Computational Biology

Date

2026-10-16

Type

paper

Year

2026

DOI

10.1371/journal.pcbi.1014862

PMID

42886762

Verification

Crossref (title, 10 authors, 2026-10-16, e1014862, abstract) + PubMed PMID 42886762 (title/date/journal match); abstract scanned for brain/glioma terms: none; full text not read

Drug responsescRNA-seqdeconvolutionbulk-RNA-seqAML

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