NK receptors replace CD28 as the dominant source of signal 2 for cognate recognition of cancer cells by TAA-specific effector CD8+ T cells
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 12 samples: 4 × A vs 4 × B vs 4 × CGroups 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
- NK Receptor Signaling Lowers TCR Activation Threshold, Enhancing Selective Recognition of Cancer Cells by TAA-Specific CTLsCancer immunology research · 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 GSE245936_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 PRJNA1030407. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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.
- GSM7851479 A1 A
- GSM7851480 A3 A
- GSM7851481 B1 B
- GSM7851482 B3 B
- GSM7851483 C1 C
- GSM7851484 C3 C
- GSM8096019 A2 A
- GSM8096020 A4 A
- GSM8096021 B2 B
- GSM8096022 B4 B
- GSM8096023 C2 C
- GSM8096024 C4 C
- GSE295725 Multimodal delineation of a layer of effector function among exhausted CD8 T cells in tumors 98 samples shares cd8, effector
- GSE230738 Dysfunctional effector memory CD8 T cells in the bronchoalveolar compartment of people living with HIV 71 samples shares cd8, effector
- GSE231628 Dysfunctional effector memory CD8 T cells in the bronchoalveolar compartment of people living with HIV 33 samples shares cd8, effector
- GSE284430 Regulation of CD45 isoforms during human effector and memory CD8 T cell differentiation: Implications for T cell nomenclature 21 samples shares cd8, effector
- GSE246491 Resistance Potential of the HLA-A2-restricted Immunodominant SARS-CoV-2 Specific CD8+ T Cell Receptor Repertoire to Antigenic Drift 30 samples shares cd8, dominant
- GSE310053 DUSP2 Suppresses the Chromatin Remodeling BAF Complex to Orchestrate CD8+ T Cell Effector Programming [ChIP-Seq] 12 samples shares cd8, effector
- GSE280113 Progenitor effects and unique transcriptomic signatures linked to differentiation phenotype in clonally expanded antigen-specific CD8 T memory stem cells (TSCM) 509 samples shares cd8
- GSE235093 Pre-existing skin-resident CD8 and γδ T cell circuits mediate immune response in Merkel cell carcinoma and Predict immunotherapy efficacy 333 samples shares cd8
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.