Development of a Gene Editing Strategy to Enhance CAR-T Therapy Through Inducible IL-15 Expression at the PD-1 Locus
RNA-seq (gene expression) · human · 9 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
- Homo sapiens (human)
- Samples
- 9 samples: 9 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 GSE337294_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 PRJNA1484667 and SRA study SRP714444. 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 9 sample titles: 9 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.
- GSM9852698 WT_1, Control, Donor1
- GSM9852699 WT_2, Control, Donor2
- GSM9852700 WT_3, Control, Donor3
- GSM9852701 KO_1, Sample, Donor1
- GSM9852702 KO_2, Sample, Donor2
- GSM9852703 KO_3, Sample, Donor3
- GSM9852704 KI_1, Sample, Donor1
- GSM9852705 KI_2, Sample, Donor2
- GSM9852706 KI_3, Sample, Donor3
- GSE316970 CYD-4-61 Suppresses Gastric Tumor Growth by Targeting SOX9–CDK4–Driven Oncogenic Programs and Enhances Anti-PD-1 Therapy 18 samples shares pd-1, enhance, therapy
- GSE126044 Genome-wide identification of differentially methylated promoters and enhancers associated with response to anti-PD-1 therapy in non-small cell lung cancer 16 samples shares pd-1, enhance, therapy
- GSE278073 Targeting VRK2 Enhances the Efficacy of Anti-PD-1 Therapy in Hepatocellular Carcinoma by Reducing Direct Phosphorylation and Stability of MYC: CUT-TAG sequencing for MYC in hepatocellular carcinoma cells 16 samples shares pd-1, enhance, therapy
- GSE308973 Localized PD-1 CAR T therapy reprograms neuroinflammation - human CSF data. 88 samples shares pd-1, therapy
- GSE289743 Cancer-induced nerve injury promotes resistance to anti-PD-1 therapy [RNA-Seq FFPE] 83 samples shares pd-1, therapy
- GSE272176 PD-1 blockade mitigates surgery-induced immunosuppression and increases the efficacy of photodynamic therapy for malignant pleural mesothelioma 82 samples shares pd-1, therapy
- GSE266219 Clinical and Immunological Responses to Combined JAK Inhibition and PD-1 immunotherapy for Lung Cancer Patients 79 samples shares pd-1, therapy
- GSE202069 RNA-seq data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients with anti-PD-1 therapy 66 samples shares pd-1, therapy
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.