Characterizing gene expression in lung tissue of COPD subjects using RNA-seq
We analyzed gene expression profiling of lung tissue to define molecular pathway of COPD using recent RNA sequencing technology.Lung tissue was obtained from 98 COPD subjects and 91 subjects with normal spirometry. RNA isolated from these samples was processed with RNA-seq using HiSeq 2000. Gene expression measurements were calculated using Cufflinks software. Differentially expressed genes and isoforms were chosen using t-test. Some of differentially expressed genes were validated by quantitati...
Provenance — who produced it, who reused it
Linked to 25 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.
- Comprehensive Analysis of Transcriptome Sequencing Data in the L... 2015 · 103 cites
- Bioinformatics and system biology approach to identify the influ... 2021 · 96 cites
23 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.