The CoREST complex inhibitor, corin, leads to decreased tumor growth, increased cellular differentiation and extended lifespan in atypical teratoid rhabdoid tumor xenograft models [RNA-seq]
RNA-seq (gene expression) · human · 12 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
- 12 samples: 3 × BT37_DMSO vs 3 × BT37_Corin vs 3 × CHLA06_DMSO vs 3 × CHLA06_CorinGroups 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 GSE285637_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 PRJNA1205005 and SRA study SRP554736. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8706166 BT37_DMSO_1 BT37_DMSO
- GSM8706167 BT37_DMSO_2 BT37_DMSO
- GSM8706168 BT37_DMSO_3 BT37_DMSO
- GSM8706169 BT37_Corin_1 BT37_Corin
- GSM8706170 BT37_Corin_2 BT37_Corin
- GSM8706171 BT37_Corin_3 BT37_Corin
- GSM8706172 CHLA06_DMSO_1 CHLA06_DMSO
- GSM8706173 CHLA06_DMSO_2 CHLA06_DMSO
- GSM8706174 CHLA06_DMSO_3 CHLA06_DMSO
- GSM8706175 CHLA06_Corin_1 CHLA06_Corin
- GSM8706176 CHLA06_Corin_2 CHLA06_Corin
- GSM8706177 CHLA06_Corin_3 CHLA06_Corin
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- GSE270667 Single-cell sequencing highlights increased atypical AT2 interacting with M1 macrophage in COPD 12 samples shares increased, atypical
- GSE296792 Neutrophil Degranulation is Increased at Seven Days after Human Intracerebral Hemorrhage, but not at 72 Hours, and Correlates with Decreased miR-3613 and miR-3690 154 samples shares decreased, increased
- GSE325486 ESR1 mutations shape the clonal dynamics, genetic diversity and cellular states of acquired resistance to CDK4/6 inhibitors 57 samples shares inhibitor, cellular
- GSE222196 Treatment of prostate cancer cell lines with Androgen Receptor and Receptor Tyrosine Kinase inhibitors 246 samples shares inhibitor
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- GSE287540 Transcriptomic and proteomic characterization of cell and protein biomarkers of checkpoint inhibitor-induced liver injury [bulk RNA-seq] 128 samples shares inhibitor
- GSE317901 Unraveling cetuximab response in head and neck cancer with APHRODYTHE, a multi-omics patient-derived xenograft platform 114 samples shares xenograft
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.