NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE186305 Query DataSets for GSE186305
Status Public on Nov 08, 2021
Title Identifying non-genetic determinants of malignant clonal fitness at single cell resolution [chemo scRNAseq]
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Other
Summary All cancers emerge following a period of clonal selection and subsequent clonal expansion. Whilst the evolutionary principles imparted by genetic intra-tumour heterogeneity (ITH) are becoming increasingly clear, little is known about the non-genetic mechanisms that contribute to ITH and malignant clonal fitness. Using SPLINTR, a synthetic expressed barcoding strategy, in three clinically relevant mouse models of acute myeloid leukemia (AML) we find that malignant clonal dominance is a stable and heritable property that is facilitated by the repression of antigen presentation and the increased expression of Slpi, a leukocyte protease inhibitor that has not previously been characterised in AML. Increased transcriptional heterogeneity is a consistent feature enabling clonal fitness in diverse tissue / immune microenvironments and in the context of clonal competition between genetically distinct clones within a uniform microenvironment. Compared to extramedullary sites, leukemia initiating capacity is most enriched in malignant cells resident within the bone marrow microenvironment and leukemia stem cells (LSC), like normal haematopoietic stem cells, display heritable clone-intrinsic properties of high, and low clonal output that contribute to the overall tumour mass. Finally, we demonstrate that clonal output does not dictate sensitivity to chemotherapy and both high and low output LSC clones retain marked cellular plasticity enabling them to survive potent therapeutic challenge and persist as minimal residual disease. Together these data provide fundamental insights into the non-genetic transcriptional processes that underpin malignant clonal fitness which may inform future therapeutic strategies.
 
Overall design Single-cell RNA-seq of MLL-AF9 leukemia cells with SPLINTR barcodes transplanted into Ptprca mice
 
Contributor(s) Dawson MA, Fennell K, Vassiliadis D
Citation(s) 34880496
Submission date Oct 21, 2021
Last update date Jan 17, 2022
Contact name Mark Dawson
E-mail(s) mark.dawson@petermac.org
Organization name Peter MacCallum Cancer Centre
Street address 305 Grattan Street
City Melbourne
State/province VIC
ZIP/Postal code 3000
Country Australia
 
Platforms (2)
GPL19057 Illumina NextSeq 500 (Mus musculus)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (6)
GSM5643580 chemo baseline scRNAseq tech rep 1
GSM5643581 chemo baseline scRNAseq tech rep 2
GSM5643582 chemo disease endpoint scRNA-seq pool 1
This SubSeries is part of SuperSeries:
GSE161676 Identifying non-genetic determinants of malignant clonal fitness at single cell resolution
Relations
BioProject PRJNA773261
SRA SRP342527

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE186305_RAW.tar 1005.0 Mb (http)(custom) TAR (of MTX, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap