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Syndecan-1 inhibition promotes anti-tumor immune response and facilitates the efficacy of anti-PD1 checkpoint immunotherapy (kdSdc1 and mutant)

GSE254619 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/09/18 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples
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
Syndecan-1 inhibition promotes antitumor immune response and facilitates the efficacy of anti-PD1 checkpoint immunotherapyScience advances · 2024
Summary (written by the submitters)
To investigate the function of SDC1 in the regulation of anti-tumor immunity, we established B16 and MC38 cell lines in which sdc1 or control RNA has been knocked down by shRNA.
Published in
Syndecan-1 inhibition promotes antitumor immune response and facilitates the efficacy of anti-PD1 checkpoint immunotherapy
Liu Y, Xu C, Zhang L et al. · Science advances 2024 · PMID 39259785 · doi:10.1126/sciadv.adi7764
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE254619_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1071144 and SRA study SRP486952. Searching any of these in the dataset finder brings you back here.

Samples in this study

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