Direct RNA sequencing enables single-nucleotide m6A detection in endogenous transcript isoforms
We report the direct RNA sequencing of HEK293 and a primary human mammary epithelial cell (HMEC) line using Oxford Nanopore based sequencing. Using this data, we built an algorithm to detect m6A modifications within the DRACH motif context. Evaluation of m6A sites was carried out with HEK METTL3 knockdown and HMEC ALKBH5 over expression cell lines.
Provenance — who produced it, who reused it
Linked to 3 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.
2 further papers cite this accession but reuse could not be confirmed.
Deep data QC
33/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The F grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0