Insights into intestinal neuroendocrine tumors in relation to normal human EEC differentiation
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 53 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)
- Topic
- Small intestine cancerThis series is part of our curated briefing on it.
- Samples
- 53 samples: 10 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
- Multiomic analyses delineate human neuroendocrine tumor cell states in relation to normal enteroendocrine cell ontogenyThe Journal of clinical investigation · 2026
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 GSE277215_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 PRJNA1161190 and SRA study SRP532737. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 10 replicated groups read from 53 sample titles; they account for 30 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.
- GSM7661360 Line#2, D1, tam-inducible, scATACseq
- GSM7661361 Line#2, D3, tam-inducible, scATACseq
- GSM7661362 Line#2, D4, tam-inducible, scATACseq
- GSM7661363 Line#2, D5, tam-inducible, scATACseq
- GSM7661364 Line#2, D6, tam-inducible, scATACseq
- GSM8516333 DFCI SINET18 DFCI SINET
- GSM8516334 DFCI SINET23 DFCI SINET
- GSM8516335 DFCI SINET29 DFCI SINET
- GSM8516336 DFCI SINET2 H3K27ac
- GSM8516337 DFCI SINET8 H3K27ac
- GSM8516338 DFCI SINET10 H3K27ac
- GSM8516339 DFCI SINET17 H3K27ac
- GSM8516340 DFCI SINET18 H3K27ac
- GSM8516341 DFCI SINET20 H3K27ac
- GSM8516342 DFCI SINET23 H3K27ac
- GSM8516343 DFCI SINET27 H3K27ac
- GSM8516344 DFCI SINET29 H3K27ac
- GSM8516345 DFCI SINET43 H3K27ac
- GSM8516346 DFCI SINET2 H3K4me3
- GSM8516347 DFCI SINET10 H3K4me3
- GSM8516348 DFCI SINET29 H3K4me3
- GSM8516349 DFCI SINET8 H3K27me3
- GSM8516350 DFCI SINET10 H3K27me3
- GSM8516351 DFCI SINET18 H3K27me3
- GSM8516352 DFCI SINET23 H3K27me3
- GSM8516353 DFCI SINET29 H3K27me3
- GSM8516580 DFCI SINET2 rep1 DFCI SINET2
- GSM8516581 DFCI SINET2 rep2 DFCI SINET2
- GSM8516582 DFCI SINET8 rep1 DFCI SINET8
- GSM8516583 DFCI SINET8 rep2 DFCI SINET8
- GSM8516584 DFCI SINET10 rep1 DFCI SINET10
- GSM8516585 DFCI SINET10 rep2 DFCI SINET10
- GSM8516586 DFCI SINET17 rep1 DFCI SINET17
- GSM8516587 DFCI SINET17 rep2 DFCI SINET17
- GSM8516588 DFCI SINET18 rep1 DFCI SINET18
- GSM8516589 DFCI SINET18 rep2 DFCI SINET18
- GSM8516590 DFCI SINET20 rep1 DFCI SINET20
- GSM8516591 DFCI SINET20 rep2 DFCI SINET20
- GSM8516592 DFCI SINET23 rep1 DFCI SINET23
- GSM8516593 DFCI SINET23 rep2 DFCI SINET23
+ 13 more — browse all 53 samples with per-sample file links →
- GSE301265 Spatial Transcriptomics Reveals Local Subtype-Specific Identity and Signaling within Multifocal Small Intestinal Neuroendocrine Tumors 8 samples same disease briefing · shares neuroendocrine, intestinal
- GSE279475 Single-Cell RNA-seq analysis of small intestine neuroendocrine tumors reveals the cell of origin and trajectory of gene-expression associated with the early tumor development 34 samples same disease briefing · shares neuroendocrine
- GSE277212 Insights into intestinal neuroendocrine tumors in relation to normal human EEC differentiation [RNAseq] 27 samples shares eec, neuroendocrine, intestinal, relation, normal
- GSE287645 Maternal cause of early-onset preeclampsia: excessive endometrial gland-derived apolipoprotein D induces placental ferroptosis and developmental abnormalities 16 samples shares eec, normal
- GSE221608 Transcriptome sequencing of normal intestinal mucosal tissues, paired primary CRC tissues and liver metastases lesions in participants of CRC 52 samples shares intestinal, normal
- GSE245351 Charting the transcriptomic landscape of primary and metastatic cancers in relation to their origin and target normal tissues 18 samples shares relation, normal
- GSE243579 iPSC-based modeling of preeclampsia identifies defects in extravillous trophoblast differentiation 144 samples shares eec
- GSE311483 BAP1 dysregulation impairs trophoblast differentiation and contributes to placental dysfunction in preeclampsia 32 samples shares eec
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.