Noncanonical role of NCOR1 as a facilitator of DNA mismatch repair and its deficiency sensitizes cancers to immune checkpoint blockade therapy
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 6 conditions, mostly in triplicateGroups 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 GSE290464_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 PRJNA1228118 and SRA study SRP566250. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8814905 Hepa1-6, sgCtrl-rep1 Hepa1-6, sgCtrl
- GSM8814906 Hepa1-6, sgCtrl-rep2 Hepa1-6, sgCtrl
- GSM8814907 Hepa1-6, sgCtrl-rep3 Hepa1-6, sgCtrl
- GSM8814908 Hepa1-6, sgNcor1-1-rep1 Hepa1-6, sgNcor1-1
- GSM8814909 Hepa1-6, sgNcor1-1-rep2 Hepa1-6, sgNcor1-1
- GSM8814910 Hepa1-6, sgNcor1-1-rep3 Hepa1-6, sgNcor1-1
- GSM8814911 Hepa1-6, sgNcor1-2-rep1 Hepa1-6, sgNcor1-2
- GSM8814912 Hepa1-6, sgNcor1-2-rep2 Hepa1-6, sgNcor1-2
- GSM8814913 Hepa1-6, sgNcor1-2-rep3 Hepa1-6, sgNcor1-2
- GSM8814914 B16, sgCtrl-rep1 B16, sgCtrl
- GSM8814915 B16, sgCtrl-rep2 B16, sgCtrl
- GSM8814916 B16, sgCtrl-rep3 B16, sgCtrl
- GSM8814917 B16, sgNcor1-1-rep1 B16, sgNcor1-1
- GSM8814918 B16, sgNcor1-1-rep2 B16, sgNcor1-1
- GSM8814919 B16, sgNcor1-1-rep3 B16, sgNcor1-1
- GSM8814920 B16, sgNcor1-2-rep1 B16, sgNcor1-2
- GSM8814921 B16, sgNcor1-2-rep2 B16, sgNcor1-2
- GSM8814922 B16, sgNcor1-2-rep3 B16, sgNcor1-2
- GSE260623 Germline ELP1 deficiency sensitizes cerebellar granule neuron progenitors to SHH medulloblastoma [bulkRNA] 91 samples shares deficiency, sensitizes
- GSE267771 KMT2C Deficiency Drives Luminal Transdifferentiation into Double-Negative Prostate Cancer and Sensitizes to Fatty Acid Synthase Inhibition [RNA-Seq] 22 samples shares deficiency, sensitizes
- GSE243060 Multi-organ Transcriptome Atlas of a Mouse Model of Relative Energy Deficiency in Sport (REDs) 419 samples shares deficiency
- GSE254229 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice 141 samples shares deficiency
- GSE267786 Impact of SLC15A4, TASL and TASL2(Gm6377) deficiency on endolysosomal TLR7 and TLR9 responses 95 samples shares deficiency
- GSE281404 Deficiency of the palmitoyl acyltransferase ZDHHC7 modulates gene expression in mice after a mild chronic stress paradigm 80 samples shares deficiency
- GSE243869 KMT2C deficiency enhances HSC mobilization and granulocyte bias in response to G-CSF 78 samples shares deficiency
- GSE289641 Noncanonical PRC2 chromatin association reveals a key role of EZHIP in intergenerational epigenetic memory transition [RNA-Seq] 68 samples shares noncanonical
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.