← Dataset search
Integrated RNA and DNA sequencing reveals early drivers of metastatic breast cancer
Breast cancer metastasis remains a deadly disease with poorly understood clonal evolution and the timing with which drivers are acquired. Here, we present the RNA sequencing data as the RSEM upper quantile normalized data.
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.
Deposited / produced by
Marni SiegelCharles Perou
Reused by
- NRF2 activation promotes the recurrence of dormant tumour cells... 2020 · 215 cites
- Lipid-laden lung mesenchymal cells foster breast cancer metastas... 2022 · 117 cites
- Clinical importance of high-mannose, fucosylated, and complex N-... 2021 · 102 cites
7 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
Instrument
Illumina HiSeq 2000
Platform
ILLUMINA
Read type
short-read
Files available
submitted files
N numbers (samples, groups)
232 / 83 runs
Completeness
100%
Metrics (value · how obtained)
checksum ok
no
reported
supplementary file types
TSV
reported
QC cost
5 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently