Single cell RNA-seq analysis of melanoma
To understand the diversity of expression states within melanoma tumors, we obtained freshly resected samples, dissagregated the samples, sorted into single cells and profiled them by single-cell RNA-seq.
Provenance — who produced it, who reused it
Linked to 101 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.
- Defining T Cell States Associated with Response to Checkpoint Im... 2018 · 2,038 cites
- Simultaneous enumeration of cancer and immune cell types from bu... 2017 · 1,440 cites
- ImmuCellAI: A Unique Method for Comprehensive T‐Cell Subsets Abu... 2020 · 1,026 cites
- Cancer SLC43A2 alters T cell methionine metabolism and histone m... 2020 · 621 cites
- Analysis of Single-Cell RNA-Seq Identifies Cell-Cell Communicati... 2018 · 468 cites
- SingleCellSignalR: inference of intercellular networks from sing... 2020 · 440 cites
- Interpretable dimensionality reduction of single cell transcript... 2018 · 382 cites
- Single-cell entropy for accurate estimation of differentiation p... 2017 · 377 cites
- Estimation of immune cell content in tumour tissue using single-... 2017 · 345 cites
- Single-Cell RNA Sequencing Reveals a Dynamic Stromal Niche That... 2020 · 331 cites
- Epigenomic-Guided Mass Cytometry Profiling Reveals Disease-Speci... 2018 · 315 cites
- A practical solution to pseudoreplication bias in single-cell st... 2021 · 314 cites
- A graph neural network model to estimate cell-wise metabolic flu... 2021 · 233 cites
- DSTG: deconvoluting spatial transcriptomics data through graph-b... 2020 · 231 cites
- Cellular architecture of human brain metastases 2022 · 211 cites
- DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequen... 2019 · 208 cites
- SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data 2020 · 178 cites
- Diverse clonal fates emerge upon drug treatment of homogeneous c... 2023 · 177 cites
- scMatch: a single-cell gene expression profile annotation tool u... 2019 · 159 cites
- Reconstruction of cell spatial organization from single-cell RNA... 2020 · 158 cites
- The Stress-Like Cancer Cell State Is a Consistent Component of T... 2020 · 114 cites
- Leveraging transcriptional dynamics to improve BRAF inhibitor re... 2019 · 102 cites
- De novo analysis of bulk RNA-seq data at spatially resolved sing... 2022 · 95 cites
- Sustained activation of the Aryl hydrocarbon Receptor transcript... 2018 · 95 cites
- Deciphering tumor ecosystems at super resolution from spatial tr... 2023 · 94 cites
- Consistent RNA sequencing contamination in GTEx and other data s... 2020 · 85 cites
- Network models of primary melanoma microenvironments identify ke... 2021 · 82 cites
- AMPK promotes antitumor immunity by downregulating PD-1 in regul... 2021 · 81 cites
- BIDCell: Biologically-informed self-supervised learning for segm... 2024 · 72 cites
- Investigating the utility of human melanoma cell lines as tumour... 2017 · 71 cites
50 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.