Genome-wide profiling of PPARγ:RXR and RNA polymerase II
Genome-wide profiling of PPARγ:RXR and RNA polymerase II reveals temporal activation of distinct metabolic pathways in RXR dimer composition during adipogenesis. Chromatin immunoprecipitation combined with deep sequencing was performed to generate genome-wide maps of peroxisome prolifelator-activated receptor gamma (PPARg) and retinoid X receptor (RXR) binding sites, and RNA polymerase II (RNAPII) occupancy at high resolution throughout adipocyte differentiation of 3T3-L1 cells. The data prov...
Provenance — who produced it, who reused it
Linked to 11 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.
- Functional partitioning of transcriptional regulators by pattern... 2023 · 302 cites
- Genomic modelling of the ESR1 Y537S mutation for evaluating func... 2016 · 178 cites
- Mitochondrial Retrograde Signaling in Mammals Is Mediated by the... 2018 · 128 cites
- Many chronological aging clocks can be found throughout the epig... 2021 · 71 cites
7 further papers cite this accession but reuse could not be confirmed.
Deep data QC
insufficient data to scoreStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
The insufficient grade is a transparent weighted average. Each metric below scored from 0–100% against the published ChIP-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