Combinatorial analysis of miRNA and mRNA expression in pancreatic ductal adenocarcinoma (PDAC)_mRNA
miRNAs are known to be involved in PDAC tumorigenesis, but only a few biologically relevant gene targets have been identified. Here we show that three miRNAs (miR-21, miR-23a and miR-27a) act in concert for the cooperative suppression of several tumor suppressor genes of which we experimentally validated PDCD4, BTG2 and NEDD4L. The synergistic inhibition of this triple miRNA combination is capable of reducing PDAC growth in a mouse model greater than inhibition of oncomiR-21 alone.
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.
- The role of m6A-related genes in the prognosis and immune microe... 2020 · 118 cites
- Five key lncRNAs considered as prognostic targets for predicting... 2017 · 87 cites
- Identification of key regulators of pancreatic cancer progressio... 2016 · 85 cites
- A reciprocal feedback between N6-methyladenosine reader YTHDF3 a... 2022 · 74 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
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