Cyclin-dependent kinase inhibitors sequentially determine the neural-glial lineage boundaries in the developing cortex
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × E13.5, p18mKO2-, vs 3 × E16.5, p18mKO2-, vs 3 × E13.5, p18mKO2+, vs 3 × E16.5, p18mKO2+,Groups 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.
- Paper
- Cyclin-dependent kinase inhibitor p18 regulates lineage transitions of excitatory neurons, astrocytes, and interneurons in the mouse cortexThe EMBO journal · 2025
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 GSE265784_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 PRJNA1104198 and SRA study SRP503831. 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.
- GSM8229150 E13.5, p18mKO2-, rep1 E13.5, p18mKO2-,
- GSM8229151 E16.5, p18mKO2-, rep1 E16.5, p18mKO2-,
- GSM8229152 E13.5, p18mKO2-, rep2 E13.5, p18mKO2-,
- GSM8229153 E16.5, p18mKO2-, rep2 E16.5, p18mKO2-,
- GSM8229154 E13.5, p18mKO2-, rep3 E13.5, p18mKO2-,
- GSM8229155 E16.5, p18mKO2-, rep3 E16.5, p18mKO2-,
- GSM8229156 E13.5, p18mKO2+, rep1 E13.5, p18mKO2+,
- GSM8229157 E16.5, p18mKO2+, rep1 E16.5, p18mKO2+,
- GSM8229158 E13.5, p18mKO2+, rep2 E13.5, p18mKO2+,
- GSM8229159 E16.5, p18mKO2+, rep2 E16.5, p18mKO2+,
- GSM8229160 E13.5, p18mKO2+, rep3 E13.5, p18mKO2+,
- GSM8229161 E16.5, p18mKO2+, rep3 E16.5, p18mKO2+,
- GSE322764 Lineage and Organ Signals Sequentially Build Organ Intrinsic Nervous Systems [scRNA-seq] 19 samples shares sequentially, lineage
- GSE219229 Unbiased profiling of clinical kinase inhibitors’ effects in activated macrophages using chromatin modifications as high-content readouts [RNA-Seq] 180 samples shares inhibitors
- GSE234818 Faecalibaterium prausnitzii strain EXL01 boosts efficacy of Immune Checkpoint Inhibitors 42 samples shares inhibitors
- GSE203620 Development of small molecule miR-17-92 inhibitors [RNA-Seq] 36 samples shares inhibitors
- GSE298720 Global gene expression profiles were compared among IL1B-treated, Ad-OSCAR-treated, and control mice, with or without subsequent treatment with OSCAR inhibitors (Brivudine or Adefovir). 35 samples shares inhibitors
- GSE201128 The response to lipopolysaccharide (LPS) of bone marrow derived macrophages treated with oxysterol binding protein (OSBP) inhibitors 30 samples shares inhibitors
- GSE218968 Unbiased profiling of clinical kinase inhibitors’ effects in activated macrophages using chromatin modifications as high-content readouts [Chromatin associated RNA-seq] 27 samples shares inhibitors
- GSE276571 MTA-cooperative PRMT5 inhibitors enhance T cell-mediated antitumor activity in MTAP-loss tumors 26 samples shares inhibitors
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.