The human Whole miRNOme project version 1
This project analyzes peripheral blood profiles of controls and patients of 14 different diseases, all collected, measured, and analyzed using exactly the same SoP. Since miRNAs are known to be valuable diagnostic markers we asked whether respective patterns of patients can be detected in peripheral blood samples rather than in biopsies. The project aimed at an impoved understanding of complex profiles rather than single markers. Thus, a high-throughput technique was necessary, profiling all kno...
Provenance — who produced it, who reused it
Linked to 31 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.
- YTHDC1-mediated augmentation of miR-30d in repressing pancreatic... 2021 · 200 cites
- Diagnostic potential for a serum miRNA neural network for detect... 2017 · 146 cites
- Principal Component Analysis Based Feature Extraction Approach t... 2013 · 82 cites
- miR-524-5p suppresses the growth of oncogenic BRAF melanoma by t... 2014 · 73 cites
- <p>Construction of Potential miRNA–mRNA Regulatory Network... 2020 · 71 cites
26 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently