Pien Tze Huang enhances the killing effect of autologous T cells in colorectal cancer by inhibiting PD-L1, stem cell markers, and STAT3.
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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 GSE265991_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 PRJNA1105101 and SRA study SRP504329. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- GSM8239094 PBS, replicate1，
- GSM8239095 PBS, replicate2，
- GSM8239096 PBS, replicate3，
- GSM8239097 PZH, replicate1，
- GSM8239098 PZH, replicate2，
- GSM8239099 PZH, replicate3，
- GSM8239100 Anti-pd1, replicate1，
- GSM8239101 Anti-pd1, replicate2，
- GSM8239102 Anti-pd1, replicate3，
- GSM8239103 PZH+Anti-pd1, replicate1，
- GSM8239104 PZH+Anti-pd1, replicate2，
- GSM8239105 PZH+Anti-pd1, replicate3，
- GSE304155 HE4 regulates anticancer immune evasion by upregulating PD-L1 expression on macrophages through the IFN-γR-STAT3 axis [LLC tumors, scRNA-seq] 6 samples shares pd-l1, stat3
- GSE324386 Transcriptomic profiling of CRISPR-Cas9 knockout of RAD51D, LIMCH1, and BRD9 in MC38 colorectal cancer cells reveals regulation of PD-L1 expression 29 samples shares pd-l1, colorectal
- GSE255180 Inhibiting CXCR4 Attenuates TOX-Programmed Exhausted Phenotype of CD8+ T cells via Regulating JAK2/STAT3 Pathway [RNA-Seq] 20 samples shares stat3, inhibiting
- GSE271663 Tumor-Suppressing Multi-Enterobacteria enhance the anti-PD-1/PD-L1 efficacy in microsatellite stable colorectal cancer 36 samples shares pd-l1, colorectal
- GSE260816 Anti-TIGIT antibody improves PD-L1 blockade through myeloid and Treg cells 46 samples shares pd-l1
- GSE254697 STAT3 signalling drives tissue expansion during postimplantation mouse development [RNA-seq] 39 samples shares stat3
- GSE292146 Tractable mouse TNBC models capture the heterogeneous tumor immune microenvironment and adaptation to PD-L1 blockade 38 samples shares pd-l1
- GSE328461 Osteopontin mediates acquired resistance to hypoxia-inducing antiangiogenics and promotes anti-PD-L1 refractoriness in breast cancer models 37 samples shares pd-l1
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.