Multi-omics datasets for finer-scale dissection of chromatin architecture alterations in radiation induced malignant transformation of bronchial epithelial cells [Micro-C]
human · 12 samples
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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.
- Paper
- TP63 mediates the generation of tumour-specific chromatin loops that underlie MYC activation in radiation-induced tumorigenesisNature communications · 2025
Direct links to NCBI, 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.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE272820_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
Also filed as BioProject PRJNA1138795. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 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.
- GSM8413029 BEP2DNC1 [Micro-C]
- GSM8413030 BEP2DNC2 [Micro-C]
- GSM8413031 BEP2DNC3 [Micro-C]
- GSM8413032 BEP2DNC4 [Micro-C]
- GSM8413033 BEP2DOE1 [Micro-C]
- GSM8413034 BEP2DOE2 [Micro-C]
- GSM8413035 BEP2DOE3 [Micro-C]
- GSM8413036 BEP2DOE4 [Micro-C]
- GSM8413037 B35T1NC1 [Micro-C]
- GSM8413038 B35T1NC2 [Micro-C]
- GSM8413039 B35T1NC3 [Micro-C]
- GSM8413040 B35T1NC4 [Micro-C]
- GSE314777 Decoding 3D chromatin architecture reveals distinct enhancer classes underlying hierarchical gene regulation in prostate cancer 10 samples shares architecture, chromatin
- GSE272080 3D chromatin-based variant-to-gene maps across 57 human cell types reveal the cellular and genetic architecture of autoimmune disease susceptibility [captureC] 6 samples shares architecture, chromatin
- GSE268035 STAG2 Mutations Reshape the Cohesin-Structured Spatial Chromatin Architecture to Drive Gene Regulation in Acute myeloid Leukemia 541 samples shares architecture, chromatin
- GSE215328 Pivotal Role of the NuRD Complex in Remodeling Chromatin Environment and Maintaining Genome Architecture at CTCF Sites [hESC_H9_d049_ChIP_Seq] 135 samples shares architecture, chromatin
- GSE274284 Multi-omics dissection of human RAG deficiency reveals distinctive patterns of immune dysregulation but a common inflammatory signature 63 samples shares multi-omics, dissection
- GSE253694 Pivotal Role of the NuRD Complex in Remodeling Chromatin Environment and Maintaining Genome Architecture at CTCF Sites [HEK293T_siNURD_CTCF_ChIP_Seq] 36 samples shares architecture, chromatin
- GSE337246 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [scRNA-Seq organoids] 35 samples shares architecture, chromatin
- GSE337829 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [ChIP-Seq] 32 samples shares architecture, 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.