Next Generation Sequencing Facilitates Quantitative Analysis of EG7-CAFs and MSCs Transcriptomes
Purpose: The goals of this study are to compare EG7 - CAFs (cancer-associated fibroblasts) and MSCs (mesenchymal stem cells) transcriptome profiling (RNA-seq) generated from Next-generation Sequencing (NGS) to perform optimal high-throughput data analysis Methods: mRNA profiles of CAFs were purified from EG7 tumor bearing mice and early passage (p6) murine MSCs purchased from Cyagen were cultured in DMEM for no more than 2 passages were generated by deep sequencing, in triplicate, using Illumina...
Provenance — who produced it, who reused it
Linked to 2 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.
- RASflow: an RNA-Seq analysis workflow with Snakemake 2020 · 72 cites
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