Manipulating the transcriptome and chromatin accessibility in T cells through CRISPR-induced alternative splicing of IKZF1 (RNAseq)
RNA-seq (gene expression) · human · 34 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
- 34 samples
- 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
- Manipulation of Alternative Splicing of IKZF1 Elicits Distinct Gene Regulatory Responses in T CellsCells · 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 GSE252707_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 PRJNA1062296 and SRA study SRP482544. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 34 more — browse all 34 samples with per-sample file links →
- GSE255337 Manipulating the transcriptome and chromatin accessibility in T cells through CRISPR-induced alternative splicing of IKZF1 (ATACseq) 34 samples shares ikzf1, crispr-induced, accessibility, manipulating, alternative, chromatin, splicing
- GSE293771 H3F3A K27M Mutations Drive a Repressive Transcriptome by Modulating Chromatin Accessibility, Independent of H3K27me3 in Diffuse Midline Glioma [RNA-seq] 36 samples shares accessibility, chromatin
- GSE318083 BAF complexes maintain accessibility at stimulus-responsive chromatin and are required for transcriptional stimulus responses [RNA-seq] 43 samples shares accessibility, chromatin
- GSE316391 Chromatin accessibility and gene expression profiling of primary and metastatic ER+ breast cancer [RNA-seq] 32 samples shares accessibility, chromatin
- GSE265824 Human iPSCs-based modeling unveils a dominant role of SETBP1 mutation in shaping stable chromatin accessibility landscape in GATA2 deficiency 25 samples shares accessibility, chromatin
- GSE283485 G-quadruplexes regulate chromatin accessibility and gene expression in Bloom Syndrome [RNA-seq] 24 samples shares accessibility, chromatin
- GSE239860 HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype [RNA-seq] 18 samples shares accessibility, chromatin
- GSE269947 Single-nuclei transcriptional and chromatin accessibility profile of Beckwith-Wiedemann Syndrome liver suggests metabolic dysregulation driven by PPARA signaling 18 samples shares accessibility, chromatin
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.