Mechanical Loading remodels transcriptional regulation in Osteocytes through Nucleus translocation of NRF2 [ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 11 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
- Mus musculus (mouse)
- Samples
- 11 samples: 11 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; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
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 GSE273535_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 PRJNA1142069 and SRA study SRP523240. 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 11 sample titles: 11 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.
- GSM8431786 Unloaded, MLO-Y4, H3K27ac, rep1, ChIP
- GSM8431787 Unloaded, MLO-Y4, H3K27ac, rep2, ChIP
- GSM8431788 Loaded, MLO-Y4, H3K27ac, rep1, ChIP
- GSM8431789 Loaded, MLO-Y4, H3K27ac, rep2, ChIP
- GSM8431790 Unloaded, MLO-Y4, H3K4me3, rep1, CcIP
- GSM8431791 Unloaded, MLO-Y4, H3K4me3, rep2, ChIP
- GSM8431792 Loaded, MLO-Y4, H3K4me3, rep1, ChIP
- GSM8431793 Loaded, MLO-Y4, H3K4me3, rep2, ChIP
- GSM8431794 Unloaded, MLO-Y4, NRF2,ChIP
- GSM8431795 Loaded, MLO-Y4, NRF2, ChIP
- GSM8431796 Input, MLO-Y4, ChIP
- GSE266022 Nrf2-mediated chromatin activation of hyperosmotic response genes attenuates heat-induced renal injury [ChIP-seq] 24 samples shares nrf2, chip-seq
- GSE250458 Non-canonical roles of Keap1/Nrf2 in regulating quiescence and early activation in adult muscle stem cells [ChIP-Seq] 8 samples shares nrf2, chip-seq
- GSE281942 Bioenergetic programs of cancellous and cortical bone are distinct and differ with age and mechanical loading 150 samples shares mechanical, loading
- GSE283659 Skeletal dysplasia-causing mutations in TRPV4 alter the chondrocyte’s transcriptomic response to mechanical loading 71 samples shares mechanical, loading
- GSE232206 Transcriptomic analysis of post-traumatic osteoarthritis mouse models identifies miR-199a-5p as a regulator of abnormal mechanical loading in articular cartilage (RNA-Seq) 18 samples shares mechanical, loading
- GSE229510 Transcriptomic analysis of post-traumatic osteoarthritis mouse models identifies miR-199a-5p as a regulator of abnormal mechanical loading in articular cartilage 8 samples shares mechanical, loading
- GSE217257 Glucose metabolism influences the adaptive response of osteocytes to mechanical stimuli via CCN1 6 samples shares mechanical, osteocytes
- GSE242712 Study on the mechanisms of Piezo1-lars2 signal path mediating the mechanical loading on endochondral ossification process of fracture healing 6 samples shares mechanical, loading
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.