Hypoxia dysregulates circadian rhythm and causes synapse elimination defects in astrocytes
RNA-seq (gene expression) · human · 28 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 28 samples: 28 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 GSE255588_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1075676 and SRA study SRP489403. 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 28 sample titles: 28 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.
- GSM8075623 Day 200, 2242, Control, Thy1
- GSM8075624 Day 200, 2788, Control, Thy1
- GSM8075625 Day 200, Q03, Control, Thy1
- GSM8075626 Day 200, 2242, Control, Hepacam
- GSM8075627 Day 200, 2788, Control, Hepacam
- GSM8075628 Day 200, Q02, Control, Hepacam
- GSM8075629 Day 200, Q03, Control, Hepacam
- GSM8075630 Day 200, 2242, H48, Thy1
- GSM8075631 Day 200, 2788, H48, Thy1
- GSM8075632 Day 200, Q03, H48, Thy1
- GSM8075633 Day 200, 2242, H48, Hepacam
- GSM8075634 Day 200, 2788, H48, Hepacam
- GSM8075635 Day 200, Q02, H48, Hepacam
- GSM8075636 Day 200, Q03, H48, Hepacam
- GSM8075637 Day 300, 2242, Control, Thy1
- GSM8075638 Day 300, 2788, Control, Thy1
- GSM8075639 Day 300, Q03, Control, Thy1
- GSM8075640 Day 300, 2242, Control, Hepacam
- GSM8075641 Day 300, 2788, Control, Hepacam
- GSM8075642 Day 300, Q02, Control, Hepacam
- GSM8075643 Day 300, Q03, Control, Hepacam
- GSM8075644 Day 300, 2242, H48, Thy1
- GSM8075645 Day 300, 2788, H48, Thy1
- GSM8075646 Day 300, Q03, H48, Thy1
- GSM8075647 Day 300, 2242, H48, Hepacam
- GSM8075648 Day 300, 2788, H48, Hepacam
- GSM8075649 Day 300, Q02, H48, Hepacam
- GSM8075650 Day 300, Q03, H48, Hepacam
- GSE270290 Evidence for a role of human blood-borne factors in mediating age-associated changes in molecular circadian rhythms 208 samples shares circadian, rhythm
- GSE326530 Comparative circadian transcriptome analysis reveals dampened and phase-advanced rhythms in sun-exposed skin 160 samples shares circadian, rhythm
- GSE295758 Circadian rhythmicity and biopsychosocial characteristics influence opioid use in chronic low back pain 120 samples shares circadian, rhythm
- GSE270288 Evidence for a role of human blood-borne factors in mediating age-associated changes in molecular circadian rhythms (main experiment) 112 samples shares circadian, rhythm
- GSE270289 Evidence for a role of human blood-borne factors in mediating age-associated changes in molecular circadian rhythms (preliminary experiment) 96 samples shares circadian, rhythm
- GSE302939 DEC1 Regulates Human β Cell Functional Maturation and Circadian Rhythm 17 samples shares circadian, rhythm
- GSE270258 Abnormal circadian rhythms exacerbate dilated cardiomyopathy by reducing the ventricular mechanical strength 16 samples shares circadian, rhythm
- GSE279327 Tuning circadian rhythm of CAFs against cancer progression 14 samples shares circadian, rhythm
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.