Single cell RNA_Seq in aging of hematopoietic stem and progenitor cells
Here, we use single-cell RNA-Seq to examine variation between individual hematopoietic stem and progenitor cells from two mouse strains (C57BL/6 and DBA/2) as they age. We prepared libraries from long-term (LT-HSCs) (LSK CD150+CD48-), short-term hematopoietic stem cells (ST-HSCs) (LSK CD150-CD48-) and multipotent progenitors (MPPs) (LSK CD150+CD48+) from young (2-3 months) and old mice (22 months for C57BL/6 and 20 months for DBA/2). Population controls for each cell type and age were isolated b...
Provenance — who produced it, who reused it
Linked to 10 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- CaSTLe – Classification of single cells by transfer learning: Ha... 2018 · 132 cites
- Universal prediction of cell-cycle position using transfer learn... 2022 · 129 cites
- Comparison of methods to detect differentially expressed genes b... 2016 · 104 cites
- Exploiting single-cell expression to characterize co-expression... 2016 · 94 cites
6 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.