Integrative single-cell chromatin and transcriptome profiling uncovers cell-type specific regulatory interactions
Simultaneous measurement of different molecular aspects of gene regulation can help infer functional relationships between genome regulation and gene expression, and understand their distinct and contribution to cell phenotype. Here, we present SHARE-seq, a highly scalable, sensitive, and cost-effective approach for joint measurement of chromatin accessibility and gene expression from the same single cells. Applying SHARE-seq to adult mouse tissues (skin, brain, lung) we show a direct congruence...
Provenance — who produced it, who reused it
Linked to 21 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.
- Integrated analysis of multimodal single-cell data 2021 · 15,977 cites
- Deep learning and alignment of spatially resolved single-cell tr... 2021 · 891 cites
- A mixture-of-experts deep generative model for integrated analys... 2021 · 150 cites
17 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 ATAC-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