STAT3 SH2 Domain Aspartic Acid 661 Mutations Activate Immune Gene Programs
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 9 conditions, mostly in duplicateGroups 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
- STAT3 SH2 Domain Aspartic Acid 661 Mutations Activate Immune Gene ProgramsJournal of cellular and molecular medicine · 2026
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 GSE338662_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 PRJNA1495349 and SRA study SRP718069. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 9 replicated groups read from 18 sample titles; they account for 18 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.
- GSM9879284 S3KO_CD4_STAT3.203_rep1 S3KO_CD4_STAT3.203
- GSM9879285 S3KO_CD4_D661V_rep1 S3KO_CD4_D661V
- GSM9879286 S3KO_CD4_D661Y_rep1 S3KO_CD4_D661Y
- GSM9879287 S3KO_CD4_D661N_rep1 S3KO_CD4_D661N
- GSM9879288 S3KO_CD4_D661H_rep1 S3KO_CD4_D661H
- GSM9879289 S3KO_CD4_STAT3.203_rep2 S3KO_CD4_STAT3.203
- GSM9879290 S3KO_CD4_D661V_rep2 S3KO_CD4_D661V
- GSM9879291 S3KO_CD4_D661Y_rep2 S3KO_CD4_D661Y
- GSM9879292 S3KO_CD4_D661N_rep2 S3KO_CD4_D661N
- GSM9879293 S3KO_CD4_D661H_rep2 S3KO_CD4_D661H
- GSM9879294 S3KO_CD8_MigR1_rep1 S3KO_CD8_MigR1
- GSM9879295 S3KO_CD8_MigR1_rep2 S3KO_CD8_MigR1
- GSM9879296 S3KO_CD8_STAT3.203_rep1 S3KO_CD8_STAT3.203
- GSM9879297 S3KO_CD8_STAT3.203_rep2 S3KO_CD8_STAT3.203
- GSM9879298 S3KO_CD8_D661V_rep1 S3KO_CD8_D661V
- GSM9879299 S3KO_CD8_D661V_rep2 S3KO_CD8_D661V
- GSM9879300 S3KO_CD8_D661Y_rep1 S3KO_CD8_D661Y
- GSM9879301 S3KO_CD8_D661Y_rep2 S3KO_CD8_D661Y
- GSE276311 Two mutations associated with leukemia that change a single tyrosine residue in the STAT5B SH2 domain have opposite effects on the transcriptional programs controlling hematopoiesis [RNA-seq] 61 samples shares sh2, mutations, programs, domain
- GSE276312 Two mutations associated with leukemia that change a single tyrosine residue in the STAT5B SH2 domain have opposite effects on the transcriptional programs controlling hematopoiesis [scRNA-seq] 23 samples shares sh2, mutations, programs, domain
- GSE276308 Two mutations associated with leukemia that change a single tyrosine residue in the STAT5B SH2 domain have opposite effects on the transcriptional programs controlling hematopoiesis [ChIP-seq] 13 samples shares sh2, mutations, programs, domain
- GSE310017 Disease-associated mutations on the STAT5B SH2 domain regulate cholesterol and lipid metabolism in liver [RNA-Seq liver] 37 samples shares sh2, mutations, domain
- GSE270656 Human mutations, altering a single tyrosine in the STAT5B SH2 domain, have opposing impacts on enhancer function and mammary development [RNA-seq] 18 samples shares sh2, mutations, domain
- GSE310018 Disease-associated mutations on the STAT5B SH2 domain regulate cholesterol and lipid metabolism in liver 85 samples shares sh2, mutations, domain
- GSE270652 Human mutations, altering a single tyrosine in the STAT5B SH2 domain, have opposing impacts on enhancer function and mammary development 65 samples shares sh2, mutations, domain
- GSE270669 Binding domain mutations provide insight into CTCF's relationship with chromatin and its contribution to gene regulation 130 samples shares mutations, domain
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.