Trametinib sensitizes KRAS-mutant lung adenocarcinoma tumors to PD-1/PD-L1 axis blockade via Id1 downregulation
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: 6 × CT vs 3 × CSC vs 3 × KSC vs 3 × KTGroups 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
- Trametinib sensitizes KRAS-mutant lung adenocarcinoma tumors to PD-1/PD-L1 axis blockade via Id1 downregulationMolecular cancer · 2024
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 GSE236258_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 PRJNA989582 and SRA study SRP446805. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 4 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.
- GSM7521161 CSC_1 CSC
- GSM7521162 CSC_2 CSC
- GSM7521163 CSC_3 CSC
- GSM7521164 CT_1 CT
- GSM7521165 CT_2 CT
- GSM7521167 CT_3 CT
- GSM7521168 CTR_1 CT
- GSM7521169 CTR_2 CT
- GSM7521170 CTR_3 CT
- GSM7521171 KSC_1 KSC
- GSM7521172 KSC_2 KSC
- GSM7521173 KSC_3 KSC
- GSM7521174 KT_1 KT
- GSM7521175 KT_2 KT
- GSM7521176 KT_3 KT
- GSE271663 Tumor-Suppressing Multi-Enterobacteria enhance the anti-PD-1/PD-L1 efficacy in microsatellite stable colorectal cancer 36 samples shares pd-l1, pd-1
- GSE260816 Anti-TIGIT antibody improves PD-L1 blockade through myeloid and Treg cells 46 samples shares pd-l1, blockade
- GSE292146 Tractable mouse TNBC models capture the heterogeneous tumor immune microenvironment and adaptation to PD-L1 blockade 38 samples shares pd-l1, blockade
- GSE310249 Modulating AP-1 enables CAR-T cells to establish an intratumoral stem-like reservoir and overcomes resistance to PD-1 blockade 18 samples shares pd-1, blockade
- GSE269347 Daunorubicin-induced T cell remodeling facilitates a high antitumor response to PD-1 blockade therapy by promoting the expansion and effector function of CD8+ prolifeating T cells [scRNA-Seq] 16 samples shares pd-1, blockade
- GSE310740 Modulating AP-1 enables CAR-T cells to establish an intratumoral stem-like reservoir and overcomes resistance to PD-1 blockade 16 samples shares pd-1, blockade
- GSE220901 TIGIT and PD-L1 co-blockade promotes clonal expansion of multipotent, non-exhausted antitumor T cells by facilitating co-stimulation 168 samples shares pd-l1, blockade
- GSE310251 Modulating AP-1 enables CAR-T cells to establish an intratumoral stem-like reservoir and overcomes resistance to PD-1 blockade 33 samples shares pd-1, blockade
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.