Single-cell tracking reveals tumor-reactive T cell plasticity during melanoma TIL therapy
Single-cell RNA-seq · human · 38 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Topic
- MelanomaThis series is part of our curated briefing on it.
- Samples
- 38 samples: 38 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE335480_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1478614. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 9 samples read as cases, 1 as controls.
How we read this: Read from 38 sample titles: 38 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9814379 UPN000, control PBMC, CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814380 UPN001, pre-ACT (baseline tumor), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814381 UPN001, intermediate product (preREP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814382 UPN001, TIL product (post-REP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814383 UPN001, PBMC 7 days post transfer, CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814384 UPN001, post-ACT lesion (biopsy 1), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814385 UPN001, post-ACT lesion (biopsy 2), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814386 UPN002, pre-ACT (baseline tumor), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814387 UPN002, intermediate product (preREP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814388 UPN002, TIL product (post-REP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814389 UPN002, PBMC 7 days post transfer, CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814390 UPN003, pre-ACT (baseline tumor), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814391 UPN003, intermediate product (preREP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814392 UPN003, TIL product (post-REP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814393 UPN003, PBMC 7 days post transfer, CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814394 UPN006, pre-ACT (baseline tumor), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814395 UPN006, intermediate product (preREP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814396 UPN006, TIL product (post-REP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814397 UPN006, PBMC 7 days post transfer, CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814398 UPN006, post-ACT lesion (biopsy 1), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814399 UPN006, post-ACT lesion (biopsy 2), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814400 UPN008, pre-ACT (baseline tumor), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814401 UPN008, intermediate product (preREP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814402 UPN008, TIL product (post-REP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814403 UPN008, PBMC 7 days post transfer, CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814404 UPN008, post-ACT lesion (biopsy 1), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814405 UPN008, post-ACT lesion (biopsy 2), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814406 UPN009, pre-ACT (baseline tumor), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814407 UPN009, intermediate product (preREP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814408 UPN009, TIL product (post-REP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814409 UPN009, PBMC 7 days post transfer, CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814410 UPN009, post-ACT lesion (biopsy 1), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814411 UPN009, post-ACT lesion (biopsy 2), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814412 UPN011, pre-ACT (baseline tumor), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814413 UPN011, intermediate product (preREP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814414 UPN011, TIL product (post-REP), CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814415 UPN011, PBMC 7 days post transfer, CD3+ T cells (scRNA-seq + scTCR-seq)
- GSM9814416 UPN011, post-ACT lesion (biopsy 1), CD3+ T cells (scRNA-seq + scTCR-seq)
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- GSE230489 RNA-sequencing of cutaneous melanoma and non-small cell lung cancer biopsies 38 samples same disease briefing · shares melanoma
- GSE130956 Investigation of ST8SIA1 expression in icaritin-treated and untreated melanoma cell lines 12 samples same disease briefing · shares melanoma
- GSE140150 A rare subpopulation of melanoma cells with low expression of metastasis suppressor NME1 has a neural crest-like phenotype and is highly metastatic in vivo 6 samples same disease briefing · shares melanoma
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- GSE134459 Genome-wide maps of transcriptomic and epigenomic state in melanoma cell lines 73 samples same disease briefing · shares melanoma
- GSE123728 Clinical and Immunologic Activity of a Single Dose of Neoadjuvant PD-1 Blockade and Predictors of Clinical Outcomes in Resectable Melanoma 24 samples same disease briefing · shares melanoma
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.