Mice melanoma treated by anti-PD1 and intra-tumor microbiome
RNA-seq (gene expression) · mouse · 16 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)
- Samples
- 16 samples: 4 × B16F10 cells, lgG+PBS, MEL vs 4 × B16F10 cells, anti-PD-1 + PBS, MEL vs 4 × B16F10 cells, lgG + Eudoraea, MEL vs 4 × B16F10 cells, anti-PD-1+Eudoraea, MELGroups 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.
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 GSE205896_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 PRJNA848132 and SRA study SRP379693. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM6235079 B16F10 cells, lgG+PBS, MEL_52 B16F10 cells, lgG+PBS, …
- GSM6235080 B16F10 cells, lgG+PBS, MEL_54 B16F10 cells, lgG+PBS, …
- GSM6235081 B16F10 cells, lgG+PBS, MEL_55 B16F10 cells, lgG+PBS, …
- GSM6235082 B16F10 cells, lgG+PBS, MEL_56 B16F10 cells, lgG+PBS, …
- GSM6235083 B16F10 cells, anti-PD-1 + PBS, MEL_58 B16F10 cells, anti-PD-1…
- GSM6235084 B16F10 cells, anti-PD-1 + PBS, MEL_59 B16F10 cells, anti-PD-1…
- GSM6235085 B16F10 cells, anti-PD-1 + PBS, MEL_60 B16F10 cells, anti-PD-1…
- GSM6235086 B16F10 cells, anti-PD-1 + PBS, MEL_64 B16F10 cells, anti-PD-1…
- GSM6235087 B16F10 cells, lgG + Eudoraea, MEL_80 B16F10 cells, lgG + Eud…
- GSM6235088 B16F10 cells, lgG + Eudoraea, MEL_81 B16F10 cells, lgG + Eud…
- GSM6235089 B16F10 cells, lgG + Eudoraea, MEL_82 B16F10 cells, lgG + Eud…
- GSM6235090 B16F10 cells, lgG + Eudoraea, MEL_83 B16F10 cells, lgG + Eud…
- GSM6235091 B16F10 cells, anti-PD-1+Eudoraea, MEL_91 B16F10 cells, anti-PD-1…
- GSM6235092 B16F10 cells, anti-PD-1+Eudoraea, MEL_92 B16F10 cells, anti-PD-1…
- GSM6235093 B16F10 cells, anti-PD-1+Eudoraea, MEL_93 B16F10 cells, anti-PD-1…
- GSM6235094 B16F10 cells, anti-PD-1+Eudoraea, MEL_94 B16F10 cells, anti-PD-1…
- GSE284082 RNA-seq analysis of YUMM1.7 mouse melanoma cells treated with ADAR1i-124 or 5-AZA-CdR to study their effects on RNA editing 13 samples shares melanoma, treated
- GSE248155 Effect of regorafenib, anti-PD1, and anti-CD40 agonist in Head and Neck Squamous Cell Carcinoma 31 samples shares anti-pd1
- GSE311831 Pertussis toxin-induced lymphocytosis enhances anti-tumor immune environments and improves the anti-PD1 treatment response in a squamous cell carcinoma model. 24 samples shares anti-pd1
- GSE272309 Investigate the role of B cell in response to anti-PD1 + anti-CTLA in hepatocellular carcinoma 21 samples shares anti-pd1
- GSE248154 Effect of regorafenib, anti-PD1, and anti-CD40 agonist in Head and Neck Squamous Cell Carcinoma [4NQO_model] 19 samples shares anti-pd1
- GSE248513 Combining anti-PD1 and vorinostat improves anti-tumor treatment in IDH-mutant brain tumors 15 samples shares anti-pd1
- GSE231357 Syndecan-1 inhibition promotes anti-tumor immune response and facilitates the efficacy of anti-PD1 checkpoint immunotherapy 14 samples shares anti-pd1
- GSE248153 Effect of regorafenib, anti-PD1, and anti-CD40 agonist in Head and Neck Squamous Cell Carcinoma [HNSCC_model] 12 samples shares anti-pd1
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.