Transcriptional heterogeneity and lineage commitment in myeloid progenitors [single cell RNA-seq]
Within the bone marrow, hematopoietic stem cells differentiate and give rise to diverse blood cell types and functions. Currently, hematopoietic progenitors are defined using surface markers combined with functional assays that are not directly linked with the in vivo potential or gene regulatory mechanisms. Here we comprehensively identify myeloid progenitor subpopulations by transcriptional sorting of single cells from the bone marrow. We describe multiple progenitor subgroups showing unexpect...
Provenance — who produced it, who reused it
Linked to 18 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.
- Batch effects in single-cell RNA-sequencing data are corrected b... 2018 · 2,713 cites
- A benchmark of batch-effect correction methods for single-cell R... 2020 · 1,205 cites
- Efficient integration of heterogeneous single-cell transcriptome... 2019 · 997 cites
- Wishbone identifies bifurcating developmental trajectories from... 2016 · 631 cites
- Realistic in silico generation and augmentation of single-cell R... 2020 · 262 cites
- BloodSpot: a database of healthy and malignant haematopoiesis up... 2018 · 247 cites
- Reconstruction of complex single-cell trajectories using CellRou... 2018 · 94 cites
- Visualizing and Interpreting Single-Cell Gene Expression Dataset... 2018 · 83 cites
10 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