Gene expression profiling of SARS-CoV-1/2 infected human cell lines at bulk and single-cell level
To identify human genes and cellular pathways influencing SARS-CoV-1 and SARS-CoV-2 infection, we performed genome-wide measurements of different aspects of gene expression at the bulk and single-cell level.
Provenance — who produced it, who reused it
Linked to 32 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.
- SARS-CoV-2-mediated dysregulation of metabolism and autophagy un... 2021 · 293 cites
- Functional interrogation of a SARS-CoV-2 host protein interactom... 2020 · 172 cites
- Systematic single-cell pathway analysis to characterize early T ... 2022 · 155 cites
- Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Huma... 2020 · 106 cites
28 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