Evolution of a Reverse Transcriptase to Map N1-Methyladenosine in Human mRNA
Chemical modifications on mRNA are increasingly recognized as a critical regulatory layer of the flow of genetic information, but quantitative tools to monitor RNA modifications in a whole-transcriptome and site-specific manner are lacking. Here we describe a versatile directed evolution platform that rapidly selects for reverse transcriptases that install mutations during reverse transcription at sites of a given type of RNA modification, allowing for site-specific identification of the modific...
Provenance — who produced it, who reused it
Linked to 1 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.
Deep data QC
83/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq of Homo sapiens via NovaSeq 6000 with good quality (90.5% Q30, 0.007% N content) and confirmed GEO UID, generating ~807M reads across 88 Gb. This dataset enables human gene expression profiling with the latest ultra-high-throughput NovaSeq platform. The large-scale data and confirmed platform enable comprehensive transcriptome characterization despite moderate Q30 rate.
The B 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