Ribosome Profiling of Mouse Embryonic Stem Cells Reveals the Complexity of Mammalian Proteomes
The ability to sequence genomes has far outstripped approaches for deciphering the information they encode. Here we present a suite of techniques, based on ribosome profiling (the deep-sequencing of ribosome-protected mRNA fragments), to provide genome-wide maps of protein synthesis as well as a pulse-chase strategy for determining rates of translation elongation. We exploit the propensity of harringtonine to cause ribosomes to accumulate at sites of translation initiation together with a ma...
Provenance — who produced it, who reused it
Linked to 10 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 dynamic N1-methyladenosine methylome in eukaryotic messenger... 2016 · 1,037 cites
- Long non-coding RNAs as a source of new peptides 2014 · 559 cites
- Deep Proteome Coverage Based on Ribosome Profiling Aids Mass Spe... 2013 · 174 cites
- N-terminal Proteomics and Ribosome Profiling Provide a Comprehen... 2014 · 143 cites
- Determinants of Translation Elongation Speed and Ribosomal Profi... 2012 · 124 cites
- Combining in silico prediction and ribosome profiling in a genom... 2013 · 102 cites
- riboCIRC: a comprehensive database of translatable circRNAs 2021 · 82 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