Genetic and pharmaceutical targeting of Suv39h1 ameliorates renal fibrosis by unlocking CXCL10 transcription
RNA-seq (gene expression) · mouse · 22 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
- Mus musculus (mouse)
- Samples
- 22 samples: 6 conditions, mostly with about 4 replicates eachGroups 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.
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 GSE246193_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 PRJNA1032000 and SRA study SRP468315. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 22 samples.
How we read this: 6 replicated groups read from 22 sample titles; they account for 22 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.
- GSM7855310 NC1 NC
- GSM7855311 NC2 NC
- GSM7855312 NC3 NC
- GSM7855313 CXCL10-5ul-1 CXCL10-5ul
- GSM7855314 CXCL10-5ul-2 CXCL10-5ul
- GSM7855315 CXCL10-5ul-3 CXCL10-5ul
- GSM7864706 GFP1 GFP
- GSM7864707 GFP2 GFP
- GSM7864708 GFP3 GFP
- GSM7864709 GFP4 GFP
- GSM7864710 CRE1 CRE
- GSM7864711 CRE2 CRE
- GSM7864712 CRE3 CRE
- GSM7864713 CRE4 CRE
- GSM7864714 V1 V
- GSM7864715 V2 V
- GSM7864716 V3 V
- GSM7864717 V4 V
- GSM7864718 chaetoc1 chaetoc
- GSM7864719 chaetoc2 chaetoc
- GSM7864720 chaetoc3 chaetoc
- GSM7864721 chaetoc4 chaetoc
- GSE284504 Transcriptional profiling of brain from a zQ175 KI mouse model of Huntington's disease 335 samples shares transcription
- GSE229815 Transcriptional profiling of 12 month striatum and cortex from a mouse model of Huntington's disease (Q140) crossed with Msh2 heterozygous or homozygous conditional knockout mice [Msh2_12mon] 138 samples shares transcription
- GSE225576 An atlas of the aging mouse transcriptome and proteome reveals the features of age-related post-transcriptional dysregulation 128 samples shares transcription
- GSE286046 Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells 96 samples shares transcription
- GSE282096 Diminished transcriptional activity and splicing changes drive gene length-biased rewiring in the aging transcriptome (RNA-Seq) 94 samples shares transcription
- GSE242709 Global transcriptional profiles of primary and secondary cellular senescence in vivo by oncogene-induced senescence (OIS) and stress-induced senescence (SIS) 76 samples shares transcription
- GSE297195 Age-dependent Transcriptional and Circuit Alterations in the brain Underlie Post-Anesthesia Neurobehavioral Dysfunction 66 samples shares transcription
- GSE229829 Transcriptional profiling of striatum and cortex from a mouse model of Huntington's disease (Q140) crossed with Polq heterozygous mice [Polq] 64 samples shares transcription
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.