Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.188 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Heterogeneity within the self-renewal durability of adult hematopoietic stem cells (HSCs) challenges our understanding of the molecular framework underlying HSC function. Gene expression studies have been hampered by the presence of multiple HSC subtypes and contaminating non-HSCs in bulk HSC populations. To gain deeper insight into the gene expression program of murine HSCs, we combined single-cell functional assays with flow cytometric index sorting and single-cell gene expression assays. Through bioinformatic integration of these datasets, we designed an unbiased sorting strategy that separates non-HSCs away from HSCs, and single-cell transplantation experiments using the enriched population were combined with RNA-seq data to identify key molecules that associate with long-term durable self-renewal, producing a single-cell molecular dataset that is linked to functional stem cell activity. Finally, we demonstrated the broader applicability of this approach for linking key molecules with defined cellular functions in another stem cell system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Cell stem cell
- Topic
- Hematopoietic Stem Cell Transplantation
- Field
- Medicine
- Canadian institutions
- —
- Funders
- Cambridge Institute for Medical Research, University of CambridgeMedical Research CouncilDirectorate for Biological SciencesBiotechnology and Biological Sciences Research CouncilHutchison Whampoa LimitedLeukaemia and Lymphoma ResearchCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchCancer Research UKNIHR Cambridge Biomedical Research CentreWellcome Trust
- Keywords
- BiologyStem cellCell sortingGene expressionHaematopoiesisSingle-cell analysisCell biologyComputational biologyCellGenePopulationHematopoietic stem cellGene expression profilingGene regulatory networkGenetics
- Has abstract in OpenAlex
- yes