Integrated single-cell genetic and transcriptional analysis suggests novel drivers of chronic lymphocytic leukemia.

Abstract:

:Intra-tumoral genetic heterogeneity has been characterized across cancers by genome sequencing of bulk tumors, including chronic lymphocytic leukemia (CLL). In order to more accurately identify subclones, define phylogenetic relationships, and probe genotype-phenotype relationships, we developed methods for targeted mutation detection in DNA and RNA isolated from thousands of single cells from five CLL samples. By clearly resolving phylogenic relationships, we uncovered mutated LCP1 and WNK1 as novel CLL drivers, supported by functional evidence demonstrating their impact on CLL pathways. Integrative analysis of somatic mutations with transcriptional states prompts the idea that convergent evolution generates phenotypically similar cells in distinct genetic branches, thus creating a cohesive expression profile in each CLL sample despite the presence of genetic heterogeneity. Our study highlights the potential for single-cell RNA-based targeted analysis to sensitively determine transcriptional and mutational profiles of individual cancer cells, leading to increased understanding of driving events in malignancy.

journal_name

Genome Res

journal_title

Genome research

authors

Wang L,Fan J,Francis JM,Georghiou G,Hergert S,Li S,Gambe R,Zhou CW,Yang C,Xiao S,Cin PD,Bowden M,Kotliar D,Shukla SA,Brown JR,Neuberg D,Alessi DR,Zhang CZ,Kharchenko PV,Livak KJ,Wu CJ

doi

10.1101/gr.217331.116

subject

Has Abstract

pub_date

2017-08-01 00:00:00

pages

1300-1311

issue

8

eissn

1088-9051

issn

1549-5469

pii

gr.217331.116

journal_volume

27

pub_type

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