Molecular mechanisms of NEXT complexes regulating H3K27me3 levels and affecting tumor progression
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 10 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 10 samples: 8 distinct titles, 2 of them repeatedGroups 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
- The NEXT complex regulates H3K27me3 levels to affect cancer progression by degrading G4/U-rich lncRNAsNucleic acids research · 2025
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 GSE243767_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1019773 and SRA study SRP462515. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 10 sample titles: 8 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.
- GSM7795486 Ctrl-K27m3,ChIP
- GSM7795487 sgZ8-K27m3,ChIP
- GSM7795488 Ctrl-EZH2,ChIP
- GSM7795489 sgZ8-EZH2,ChIP
- GSM7795490 Ctrl-Input
- GSM7795491 sgZ8-Input
- GSM7795492 ACHN-Ctrl-repeat1
- GSM7795493 ACHN-Ctrl-repeat2
- GSM7795494 ACHN-sgzccHc8-repeat1
- GSM7795495 ACHN-sgzccHc8-repeat2
- GSE267820 Exploring the mechanism of AGR2 regulating the progression of pancreatic ductal adenocarcinoma and remodeling of the tumor microenvironment 24 samples shares progression, regulating
- GSE319124 Next-GenerationPediatric Cancer Models: Patient-Matched Orthotopic Xenografts, 3D Organoids, 2D Cultures, and Cell Lines for Identification of Therapeutic Vulnerabilities in Pediatric Solid Tumors [scRNAseq] 59 samples shares next
- GSE305968 Integrative single-cell analysis reveals malignant archetypes and proliferative hierarchies in multiple myeloma [Part 2 of 4: Illumina NextSeq 500; MARS] 267 samples shares next
- GSE255626 Next generation sequencing from primary glioblastoma patient tissues (Total RNA-seq) 109 samples shares next
- GSE301181 Identification of IPF Specific Genes Expressed by Lung Tissue - Derived Fibroblasts Using Next Generation Sequencing 43 samples shares next
- GSE294275 Transcriptional analysis of direct NSD2 target genes in t(4;14) multiple myeloma reveals H3K36me2-dependent regulation and H3K27me3 antagonism [CUT&TAG] 40 samples shares h3k27me3
- GSE223075 Next Generation Sequencing facilitates to identify the differential expression genes of sorted conventional CD8+ T cells and MAIT cells 35 samples shares next
- GSE280618 H3K27me3 chromatin heterogeneity reveals variable cell responses to estrogen and endocrine treatment 34 samples shares h3k27me3
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.