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Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
This SuperSeries is composed of the SubSeries listed below.
Provenance — who produced it, who reused it
Linked to 21 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.
Deposited / produced by
Reused by
- Prognostic Significance and Tumor Immune Microenvironment Hetero... 2021 · 121 cites
- Identification of the novel exhausted T cell CD8 + markers in br... 2024 · 118 cites
- Bulk and single-cell transcriptome profiling reveal the metaboli... 2021 · 111 cites
- Single cell profiling of primary and paired metastatic lymph nod... 2022 · 109 cites
- Mapping the functional landscape of T cell receptor repertoires... 2021 · 107 cites
- C5aR1-positive neutrophils promote breast cancer glycolysis thro... 2021 · 99 cites
- Repertoire analyses reveal T cell antigen receptor sequence feat... 2022 · 80 cites
- BIDCell: Biologically-informed self-supervised learning for segm... 2024 · 72 cites
12 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
Data type / assay
bulk-RNA-seq
Organism
Homo sapiens
Files available
CSV, MTX, TSV
Metrics (value · how obtained)
supplementary file types
CSV, MTX, TSV
reported
QC cost
4 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently