Evaluation of transcriptional changes following stimulation of naïve, TCM, TEM and TEMRA CD8+ T cell subsets with AB248 compared to IL-2
RNA-seq (gene expression) · human · 36 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
- 36 samples: 12 conditions, mostly in triplicateGroups 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
- IL2 Targeted to CD8+ T Cells Promotes Robust Effector T-cell Responses and Potent Antitumor ImmunityCancer discovery · 2024
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 GSE243601_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 PRJNA1008686 and SRA study SRP456811. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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.
- GSM7791736 CD8_Naive_Media_68 CD8_Naive_Media
- GSM7791737 CD8_Naive_AB248_EC95_68 CD8_Naive_AB248_EC95
- GSM7791738 CD8_Naive_IL2_EC95_68 CD8_Naive_IL2_EC95
- GSM7791739 CD8_TCM_Media_68 CD8_TCM_Media
- GSM7791740 CD8_TCM_AB248_EC95_68 CD8_TCM_AB248_EC95
- GSM7791741 CD8_TCM_IL2_EC95_68 CD8_TCM_IL2_EC95
- GSM7791742 CD8_TEM_Media_68 CD8_TEM_Media
- GSM7791743 CD8_TEM_AB248_EC95_68 CD8_TEM_AB248_EC95
- GSM7791744 CD8_TEM_IL2_EC95_68 CD8_TEM_IL2_EC95
- GSM7791745 CD8_TEMRA_Media_68 CD8_TEMRA_Media
- GSM7791746 CD8_TEMRA_AB248_EC95_68 CD8_TEMRA_AB248_EC95
- GSM7791747 CD8_TEMRA_IL2_EC95_68 CD8_TEMRA_IL2_EC95
- GSM7791748 CD8_Naive_Media_23 CD8_Naive_Media
- GSM7791749 CD8_Naive_AB248_EC95_23 CD8_Naive_AB248_EC95
- GSM7791750 CD8_Naive_IL2_EC95_23 CD8_Naive_IL2_EC95
- GSM7791751 CD8_TCM_Media_23 CD8_TCM_Media
- GSM7791752 CD8_TCM_AB248_EC95_23 CD8_TCM_AB248_EC95
- GSM7791753 CD8_TCM_IL2_EC95_23 CD8_TCM_IL2_EC95
- GSM7791754 CD8_TEM_Media_23 CD8_TEM_Media
- GSM7791755 CD8_TEM_AB248_EC95_23 CD8_TEM_AB248_EC95
- GSM7791756 CD8_TEM_IL2_EC95_23 CD8_TEM_IL2_EC95
- GSM7791757 CD8_TEMRA_Media_23 CD8_TEMRA_Media
- GSM7791758 CD8_TEMRA_AB248_EC95_23 CD8_TEMRA_AB248_EC95
- GSM7791759 CD8_TEMRA_IL2_EC95_23 CD8_TEMRA_IL2_EC95
- GSM7791760 CD8_Naive_Media_43 CD8_Naive_Media
- GSM7791761 CD8_Naive_AB248_EC95_43 CD8_Naive_AB248_EC95
- GSM7791762 CD8_Naive_IL2_EC95_43 CD8_Naive_IL2_EC95
- GSM7791763 CD8_TCM_Media_43 CD8_TCM_Media
- GSM7791764 CD8_TCM_AB248_EC95_43 CD8_TCM_AB248_EC95
- GSM7791765 CD8_TCM_IL2_EC95_43 CD8_TCM_IL2_EC95
- GSM7791766 CD8_TEM_Media_43 CD8_TEM_Media
- GSM7791767 CD8_TEM_AB248_EC95_43 CD8_TEM_AB248_EC95
- GSM7791768 CD8_TEM_IL2_EC95_43 CD8_TEM_IL2_EC95
- GSM7791769 CD8_TEMRA_Media_43 CD8_TEMRA_Media
- GSM7791770 CD8_TEMRA_AB248_EC95_43 CD8_TEMRA_AB248_EC95
- GSM7791771 CD8_TEMRA_IL2_EC95_43 CD8_TEMRA_IL2_EC95
- GSE285843 Systematic Comparison of 10X Genomics and Parse Single Cell RNA Technologies across PBMC and CD8+ TEMRA Cells 14 samples shares temra, tem, cd8
- GSE273201 CD8+ TEMRA Memory T cells Associate with Asthma Symptom Duration and Escape Proliferation Arrest in Severe but Not Mild Asthma 9 samples shares temra, tem, cd8
- GSE23321 Expression data from human naïve (TN), stem cell memory (TSCM), central memory (TCM) and effector memory (TEM) CD8+ T cells 24 samples shares tcm, tem, cd8
- GSE278330 Systemic IL-23 blockade downregulates IL-23 receptor-expressing Type 17 T-cell subsets and upregulates regulatory gene expression in myeloid cells in human psoriasis skin 63 samples shares il-2, tem
- GSE255298 IL-2 and TGF-b1 promote regulatory activity in NK cells following Hematopoietic Stem Cell Transplantation 13 samples shares il-2, tem
- GSE306928 Systematic Mapping of Protein Interactions Underlying IL-2 Secretion in Human T Cells 12 samples shares il-2, tem
- GSE299258 Molecular improvement of IL-23 inhibition revealed by single-cell RNA sequencing in concurrent psoriasis and systemic lupus erythematosus 3 samples shares il-2, tem
- GSE207754 c-Kit signaling potentiates CAR T cell efficacy in solid tumors by CD28- and IL-2–independent costimulation 12 samples shares il-2, stimulation
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.