Dynamic landscape of RNA structures in vivo reveals principles of post-transcriptional regulation [icSHAPE]
Visualizing the physical basis for molecular behavior inside living cells is a grand challenge in biology. RNAs are central to biological regulation, and RNA’s ability to adopt specific structures intimately controls every step of the gene expression program.1 However, our understanding of physiological RNA structures is limited; current in vivo RNA structure profiles predominantly viewed only two of four nucleotides that make up RNA.2,3 Here we present a novel biochemical approach, In Vivo Clic...
Provenance — who produced it, who reused it
Linked to 4 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.
- Detection of RNA–Protein Interactions in Living Cells with SHAPE 2015 · 192 cites
- RCK: accurate and efficient inference of sequence- and structure... 2016 · 90 cites
2 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