Stimulation of tumor infiltrating B-cells improves ex-vivo TIL expansion for melanoma sample immunotherapy I
RNA-seq (gene expression) · human · 20 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Topic
- MelanomaThis series is part of our curated briefing on it.
- Samples
- 20 samples: 20 × FFPE, RNA-seq, 06SGroups 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.
- Paper
- CD40L stimulates tumor-infiltrating B-cells and improves ex vivo TIL expansionJournal for immunotherapy of cancer · 2025
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 GSE217387_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA898785 and SRA study SRP406500. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 1 replicated groups read from 20 sample titles; they account for 20 of them. 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.
- GSM6716420 FFPE, RNA-seq, 06S21001882 FFPE, RNA-seq, 06S
- GSM6716421 FFPE, RNA-seq, 06S21001884 FFPE, RNA-seq, 06S
- GSM6716422 FFPE, RNA-seq, 06S21001885 FFPE, RNA-seq, 06S
- GSM6716423 FFPE, RNA-seq, 06S21001886 FFPE, RNA-seq, 06S
- GSM6716424 FFPE, RNA-seq, 06S21001887 FFPE, RNA-seq, 06S
- GSM6716425 FFPE, RNA-seq, 06S21001890 FFPE, RNA-seq, 06S
- GSM6716426 FFPE, RNA-seq, 06S21001891 FFPE, RNA-seq, 06S
- GSM6716427 FFPE, RNA-seq, 06S21001892 FFPE, RNA-seq, 06S
- GSM6716428 FFPE, RNA-seq, 06S21001894 FFPE, RNA-seq, 06S
- GSM6716429 FFPE, RNA-seq, 06S21001895 FFPE, RNA-seq, 06S
- GSM6716430 FFPE, RNA-seq, 06S21001896 FFPE, RNA-seq, 06S
- GSM6716431 FFPE, RNA-seq, 06S21001900 FFPE, RNA-seq, 06S
- GSM6716432 FFPE, RNA-seq, 06S21001902 FFPE, RNA-seq, 06S
- GSM6716433 FFPE, RNA-seq, 06S21001903 FFPE, RNA-seq, 06S
- GSM6716434 FFPE, RNA-seq, 06S21001904 FFPE, RNA-seq, 06S
- GSM6716435 FFPE, RNA-seq, 06S21001905 FFPE, RNA-seq, 06S
- GSM6716436 FFPE, RNA-seq, 06S21001906 FFPE, RNA-seq, 06S
- GSM6716437 FFPE, RNA-seq, 06S21001907 FFPE, RNA-seq, 06S
- GSM6716438 FFPE, RNA-seq, 06S21001908 FFPE, RNA-seq, 06S
- GSM6716439 FFPE, RNA-seq, 06S21001909 FFPE, RNA-seq, 06S
- GSE230489 RNA-sequencing of cutaneous melanoma and non-small cell lung cancer biopsies 38 samples same disease briefing · shares melanoma
- GSE100797 Mutational and neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma 25 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
- GSE12391 Melanoma: comparison between common nevi, radial/vertical growth phase melanoma, metastases and dysplastic nevi 114 samples same disease briefing · shares melanoma
- 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
- GSE91061 Molecular portraits of tumor mutational and micro-environmental sculpting by immune checkpoint blockade therapy 109 samples same disease briefing
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.