A β-1,3/1,6-glucan from Durvillaea Antarctica enhances anti-tumor effects of immune checkpoint inhibitor antibodies II
RNA-seq (gene expression) · mouse · 15 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
- 15 samples: 5 × tumor, vehicle, i.v., vs 5 × tumor, anti-PD-1 antibodies, i.v vs 5 × tumor,BG136 + anti-PD-1 antibodies, i.vGroups 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 GSE242577_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 PRJNA1013965 and SRA study SRP459138. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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.
- GSM7766142 tumor, vehicle, i.v., rep1 tumor, vehicle, i.v.,
- GSM7766143 tumor, vehicle, i.v., rep2 tumor, vehicle, i.v.,
- GSM7766144 tumor, vehicle, i.v., rep3 tumor, vehicle, i.v.,
- GSM7766145 tumor, vehicle, i.v., rep4 tumor, vehicle, i.v.,
- GSM7766146 tumor, vehicle, i.v., rep5 tumor, vehicle, i.v.,
- GSM7766147 tumor, anti-PD-1 antibodies, i.v. rep1 tumor, anti-PD-1 antibo…
- GSM7766148 tumor, anti-PD-1 antibodies, i.v. rep2 tumor, anti-PD-1 antibo…
- GSM7766149 tumor, anti-PD-1 antibodies, i.v. rep3 tumor, anti-PD-1 antibo…
- GSM7766150 tumor, anti-PD-1 antibodies, i.v. rep4 tumor, anti-PD-1 antibo…
- GSM7766151 tumor, anti-PD-1 antibodies, i.v. rep5 tumor, anti-PD-1 antibo…
- GSM7766152 tumor,BG136 + anti-PD-1 antibodies, i.v. rep1 tumor,BG136 + anti-PD-1…
- GSM7766153 tumor,BG136 + anti-PD-1 antibodies, i.v. rep2 tumor,BG136 + anti-PD-1…
- GSM7766154 tumor,BG136 + anti-PD-1 antibodies, i.v. rep3 tumor,BG136 + anti-PD-1…
- GSM7766155 tumor,BG136 + anti-PD-1 antibodies, i.v. rep4 tumor,BG136 + anti-PD-1…
- GSM7766156 tumor,BG136 + anti-PD-1 antibodies, i.v. rep5 tumor,BG136 + anti-PD-1…
- GSE278990 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity 73 samples shares anti-tumor, checkpoint
- GSE278980 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity - RNA-seq of C57BL/6 murine models 32 samples shares anti-tumor, checkpoint
- GSE240383 Targeting IRE1α reprograms the tumor microenvironment and enhances anti-tumor immunity in prostate cancer 27 samples shares anti-tumor, enhances
- 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-tumor, enhances
- GSE240371 Targeting IRE1α reprograms the tumor microenvironment and enhances anti-tumor immunity in prostate cancer [RNA-Seq] 21 samples shares anti-tumor, enhances
- GSE231357 Syndecan-1 inhibition promotes anti-tumor immune response and facilitates the efficacy of anti-PD1 checkpoint immunotherapy 14 samples shares anti-tumor, checkpoint
- GSE278974 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity - RNA-seq of B16F10 lung melanoma murine models 14 samples shares anti-tumor, checkpoint
- GSE207029 Blockade of avb8 integrin synergizes with checkpoint inhibition to enhance anti-tumor immunity through Cxcl9-dependent augmentation of CD8+ T cell cytotoxicity 12 samples shares anti-tumor, checkpoint
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.