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Global transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism [RNA-seq]
Here we harnessed the potential of RNA sequencing in 89 human pancreatic islet donors to identify genes and exons regulated in this relevant tissue for T2D.
Provenance — who produced it, who reused it
Linked to 12 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
João FadistaLeif Groop
Reused by
- Bulk tissue cell type deconvolution with multi-subject single-ce... 2019 · 1,006 cites
- SCDC: bulk gene expression deconvolution by multiple single-cell... 2019 · 304 cites
- Standard machine learning approaches outperform deep representat... 2020 · 79 cites
9 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
FASTQ (raw reads)
N numbers (samples, groups)
89 / 89 runs
Completeness
100%
Metrics (value · how obtained)
checksum ok
yes
reported
total bases
420492052852
reported
total reads
2081643826
reported
supplementary file types
GFF, GTF, TXT
reported
QC cost
14 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently