CD133+PD-L1+ cancer cells confer resistance to adoptively transferred engineered macrophage-based therapy in melanoma.
RNA-seq (gene expression) · mouse · 30 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
- Mus musculus (mouse)
- Topic
- MelanomaThis series is part of our curated briefing on it.
- Samples
- 30 samples: 9 conditions, mostly with about 4 replicates eachGroups 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
- CD133(+)PD-L1(+) cancer cells confer resistance to adoptively transferred engineered macrophage-based therapy in melanomaNature communications · 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 GSE285529_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 PRJNA1204309 and SRA study SRP554425. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 9 replicated groups read from 30 sample titles; they account for 30 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.
- GSM8703892 Untreated day 8, rep1 Untreated day 8,
- GSM8703893 Untreated day 8, rep2 Untreated day 8,
- GSM8703894 Untreated day 8, rep3 Untreated day 8,
- GSM8703895 NPs-MΦ1 day 16, rep1 NPs-MΦ1 day 16,
- GSM8703896 NPs-MΦ1 day 16, rep2 NPs-MΦ1 day 16,
- GSM8703897 NPs-MΦ1 day 16, rep3 NPs-MΦ1 day 16,
- GSM8703898 NPs-MΦ1 day 35, rep1 NPs-MΦ1 day 35,
- GSM8703899 NPs-MΦ1 day 35, rep2 NPs-MΦ1 day 35,
- GSM8703900 NPs-MΦ1 day 35, rep3 NPs-MΦ1 day 35,
- GSM8703901 CD133-PD-L1-, rep1 CD133-PD-L1-,
- GSM8703902 CD133-PD-L1-, rep2 CD133-PD-L1-,
- GSM8703903 CD133+PD-L1+, rep1 CD133+PD-L1+,
- GSM8703904 CD133+PD-L1+, rep2 CD133+PD-L1+,
- GSM8703905 CD133+PD-L1+, rep3 CD133+PD-L1+,
- GSM8703906 CD133-, rep1 CD133-,
- GSM8703907 CD133-, rep2 CD133-,
- GSM8703908 CD133-, rep3 CD133-,
- GSM8703909 CD133-, rep4 CD133-,
- GSM8703910 CD133+, rep1 CD133+,
- GSM8703911 CD133+, rep2 CD133+,
- GSM8703912 CD133+, rep3 CD133+,
- GSM8703913 CD133+, rep4 CD133+,
- GSM8703914 Un-hMΦ, rep1 Un-hMΦ,
- GSM8703915 Un-hMΦ, rep2 Un-hMΦ,
- GSM8703916 Un-hMΦ, rep3 Un-hMΦ,
- GSM8703917 Un-hMΦ, rep4 Un-hMΦ,
- GSM8703918 NPs-hMΦ, rep1 NPs-hMΦ,
- GSM8703919 NPs-hMΦ, rep2 NPs-hMΦ,
- GSM8703920 NPs-hMΦ, rep3 NPs-hMΦ,
- GSM8703921 NPs-hMΦ, rep4 NPs-hMΦ,
- GSE120575 Defining T cell states associated with response to checkpoint immunotherapy in melanoma 48 samples same disease briefing · shares melanoma
- 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
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.