Single-cell indexed RNA-Seq of human hematopoietic stem and progenitors
To characterize early human hematopoiesis on a single-cell level we developed an approach termed index-omics, which combines flow-cytometric, single-cell transcriptomic and single-cell lineage fate data. Healthy human bone marrow was labeled with a panel of up to 11 FACS surface markers commonly used to identify human hematopoietic stem and progenitor cells (HSPCs). Lin-CD34+38+ progenitors and Lin-CD34+CD38- stem cell enriched HSPCs were individually sorted, their surface marker fluorescence in...
Provenance — who produced it, who reused it
Linked to 11 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.
- BloodSpot: a database of healthy and malignant haematopoiesis up... 2018 · 247 cites
- RNAInter in 2020: RNA interactome repository with increased cove... 2019 · 225 cites
- Single-cell RNA-sequencing uncovers transcriptional states and f... 2017 · 188 cites
- Molecular transitions in early progenitors during human cord blo... 2018 · 173 cites
- Identification of leukemic and pre-leukemic stem cells by clonal... 2021 · 127 cites
- Sphingolipid Modulation Activates Proteostasis Programs to Gover... 2019 · 126 cites
- Reconstruction of complex single-cell trajectories using CellRou... 2018 · 94 cites
3 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