Transcriptome analysis of mRNAs, lncRNAs, and circRNAs during the differentiation of porcine subcutaneous preadipocytes
Subcutaneous preadipocyte differentiation play a critical role in fat deposition of pigs. However, the action of different RNAs in subcutaneous preadipocyte differentiation, such as messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs), are still largely unclear. In the present study, a transcriptome analysis including mRNAs, lncRNAs, and circRNAs was performed in different stages of D0, D2, D4, and D8 using RNA-seq technology. Our results identified 1,554, 470, 1,3...
Provenance — who produced it, who reused it
Linked to 1 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.
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