SARS-CoV2 infection of iPSC-derived cardiac cells predicts novel cytopathic features in COVID-19 patients
Mounting clinical evidence indicates severe pathological consequences from COVID-19 in the heart. Here we examine cardiac susceptibility and response to SARS-CoV-2 using human induced pluripotent stem cell-derived cardiomyocytes, cardiac fibroblasts, and endothelial cells. Of these cell types, SARS-CoV-2 can only productively infect cardiomyocytes, and does so via an endolysosomal mechanism. Transcriptomic profiling of infected cells revealed changes in protein homeostasis and cardiomyocyte cont...
Provenance — who produced it, who reused it
Linked to 5 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.
- Reverse-transcribed SARS-CoV-2 RNA can integrate into the genome... 2021 · 300 cites
4 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.
- Artificial Intelligence Approach in Machine Learning-Based M... L1 No data access