Modeling and drug targeting of a myeloid neoplasm with atypical 3q26/MECOM rearrangement using patient-specific iPSCs [ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 37 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
- Myelodysplastic syndromesThis series is part of our curated briefing on it.
- Samples
- 37 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
- Modelling and drug targeting of a myeloid neoplasm with atypical 3q26/MECOM rearrangement using patient-specific iPSCsBritish journal of haematology · 2024
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 GSE248238_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 PRJNA1043079 and SRA study SRP473007. 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.
+ 37 more — browse all 37 samples with per-sample file links →
- GSE21991 Myelodysplastic/myeloproliferative neoplasms 156 samples same disease briefing · shares neoplasm
- GSE31174 Affymetrix SNP array data for myelodysplastic syndromes (MDS) and related neoplasms 58 samples same disease briefing · shares neoplasm
- GSE237148 Targeting IL-1b–mediated inflammatory signaling overcomes transfusion dependence in early-stage myelodysplastic syndromes 26 samples same disease briefing · shares targeting
- GSE265824 Human iPSCs-based modeling unveils a dominant role of SETBP1 mutation in shaping stable chromatin accessibility landscape in GATA2 deficiency 25 samples same disease briefing · shares modeling
- GSE312447 Dual BCL-xL and BCL-2 Inhibition for Advanced Myeloid Neoplasms: A phase 1 dose-escalation study of Navitoclax, Venetoclax, and Decitabine 12 samples same disease briefing · shares neoplasm
- GSE236535 Mutations in the splicing factor SF3B1 are linked to frequent emergence of HLA-DRlow/neg monocytes in lower-risk myelodysplastic neoplasms 9 samples same disease briefing · shares neoplasm
- GSE228278 Diagnosing recipient- vs. donor-derived posttransplant myelodysplastic neoplasm via targeted single-cell mutational profiling 4 samples same disease briefing · shares neoplasm
- GSE270430 Allogeneic HSPC-engineered CD33-targeting CAR-NKT cells synergize with hypomethylating agents for effective and safe treatment of myeloid malignancies 4 samples same disease briefing · shares targeting
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.