Single cell transcriptomics defines human islet cell signatures and reveals cell-type-specific expression changes in type 2 diabetes [single cell]
Blood glucose levels are tightly controlled by the coordinated action of at least five cell types constituting pancreatic islets. Changes in the proportion and/or function of these cells are associated with genetic and molecular pathophysiology of monogenic, type 1, and type 2 diabetes (T2D). Cellular heterogeneity impedes precise understanding of the molecular components of each islet cell type that govern islet dysfunction, particularly the less abundant delta and gamma/pancreatic polypeptide...
Provenance — who produced it, who reused it
Linked to 28 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.
- Comprehensive Integration of Single-Cell Data 2019 · 16,818 cites
- Integrating single-cell transcriptomic data across different con... 2018 · 14,641 cites
- Benchmarking atlas-level data integration in single-cell genomic... 2021 · 1,404 cites
- Efficient integration of heterogeneous single-cell transcriptome... 2019 · 997 cites
- scMerge leverages factor analysis, stable expression, and pseudo... 2019 · 207 cites
- scClassify: sample size estimation and multiscale classification... 2020 · 165 cites
- Evaluation of Cell Type Annotation R Packages on Single-Cell RNA... 2020 · 157 cites
- Iterative transfer learning with neural network for clustering a... 2020 · 156 cites
- scAlign: a tool for alignment, integration, and rare cell identi... 2019 · 111 cites
- De novo analysis of bulk RNA-seq data at spatially resolved sing... 2022 · 95 cites
- Learning interpretable cellular and gene signature embeddings fr... 2021 · 94 cites
- Delineating mouse β-cell identity during lifetime and in diabete... 2023 · 80 cites
16 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently