GNF Mouse GeneAtlas V3
High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we profiled gene expression from a diverse array of normal tissues, organs, and cell lines in mice. Keywords: multiple tissues
Provenance — who produced it, who reused it
Linked to 39 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.
- Caspase-1 initiates apoptosis in the absence of gasdermin D 2019 · 496 cites
- MICU2, a Paralog of MICU1, Resides within the Mitochondrial Unip... 2013 · 462 cites
- Global changes in the nuclear positioning of genes and intra- an... 2012 · 280 cites
- A Liver-Enriched Long Non-Coding RNA, lncLSTR, Regulates Systemi... 2015 · 279 cites
- Integrated interactions database: tissue-specific view of the hu... 2015 · 268 cites
- IID 2018 update: context-specific physical protein–protein inter... 2018 · 203 cites
- Genetic mapping of canine fear and aggression 2016 · 171 cites
- VARIDT 1.0: variability of drug transporter database 2019 · 132 cites
- Modulating GLUT1 expression in retinal pigment epithelium decrea... 2018 · 121 cites
- Mutations in the UQCC1-Interacting Protein, UQCC2, Cause Human C... 2013 · 118 cites
- Annotation of long non-coding RNAs expressed in Collaborative Cr... 2014 · 112 cites
- How scaffolds shape MAPK signaling: what we know and opportuniti... 2012 · 93 cites
- Gain of CTCF-Anchored Chromatin Loops Marks the Exit from Naive... 2018 · 80 cites
- NKX2-5 mutations causative for congenital heart disease retain f... 2015 · 79 cites
- RefEx, a reference gene expression dataset as a web tool for the... 2017 · 73 cites
- Key regulators control distinct transcriptional programmes in bl... 2014 · 73 cites
23 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