Ontology highlight
ABSTRACT:
PROVIDER: PRJNA603560 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10981500_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR10981501_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR10981502_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR10981503_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR10981504_subreads.fastq.gz | Fastqsanger.gz |
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Project description:Hematopoietic stem cell (HSC) differentiation into mature lineages has been studied under physiological conditions in vivo by genetic barcoding-driven lineage tracing. HSC clones differ in output (differentiation-inactive versus differentiation-active), and in fates (multilineage versus lineage-restricted). Single-cell sequencing data revealed transcriptome diversity of HSC and progenitors, and suggested differentiation pathways. However, molecular hallmarks of functionally distinct HSC clones have not been resolved because existing lineage tracing experiments did not provide transcriptomes, and single cell RNA sequencing lacked information on precursor-product relationships, and hence fate. To close this gap, here we introduce PolyloxExpress, a Cre recombinase-dependent DNA substrate for in situ barcoding in mice that is expressed as mRNA. PolyloxExpress barcoding allows parallel readout of clonal HSC fates (via comparison of barcodes in HSC and mature lineages), and transcriptomes (via single-cell RNA sequencing and barcode matching). Analysing a total of 91 individual HSC clones, we show that differentiation-inactive versus differentiation-active HSC clones reside in different regions of the transcriptional landscape. Inactive HSC clones are closer to the origin of the transcriptional trajectory, yet are proliferatively not more quiescent than active clones. Multilineage versus myelo-erythroid fate-restricted HSC clones show very few transcriptional differences at the HSC stage, yet pronounced fate-specific profiles at the multipotent progenitor stage. Projecting HSC clones with defined fates onto transcriptional landscapes provides a basis for future studies into the molecular determinants for stem cell fate.
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