RNA-RNA interactions enable specific targeting of noncoding RNAs to nascent pre-mRNAs and chromatin sites
We developed a general method based on RNA Antisense Purification (RAP) to identify the intermolecular RNA-RNA interactions of a target RNA (RAP-RNA). RAP-RNA identifies endogenous RNA-RNA complexes through in vivo crosslinking, RNA capture with antisense oligonucleotides, and high-throughput RNA sequencing. This approach provides a systematic view of other RNAs that interact with a target RNA, and furthermore can distinguish between direct and indirect RNA-RNA interactions through the use of cr...
Provenance — who produced it, who reused it
Linked to 7 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.
- Local regulation of gene expression by lncRNA promoters, transcr... 2016 · 1,348 cites
- Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization... 2018 · 951 cites
- U1 snRNP regulates chromatin retention of noncoding RNAs 2020 · 244 cites
- RADICL-seq identifies general and cell type–specific principles... 2020 · 166 cites
- Long noncoding RNA MALAT1 regulates generation of reactive oxyge... 2018 · 72 cites
1 further paper cites 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