Posttranscriptional Control of Neural Progenitors Temporal Dynamics During Neocortical Development by Syncrip
RNA-seq (gene expression) · mouse · 11 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
- 11 samples: 11 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.
- Paper
- Posttranscriptional Control of Neural Progenitors Temporal Dynamics During Neocortical Development by SyncripAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 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 GSE285581_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 PRJNA1204921 and SRA study SRP554660. 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 11 sample titles: 11 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.
- GSM8705214 SYNCRIP_LACE-seq of E14.5 NPCs (Rep1)
- GSM8705215 SYNCRIP_LACE-seq of E14.5 NPCs (Rep2)
- GSM8705216 IgG_LACE-seq of E14.5 NPCs
- GSM8705217 E14.5 NPCs WT RNA-seq (Rep1)
- GSM8705218 E14.5 NPCs WT RNA-seq (Rep2)
- GSM8705219 E14.5 NPCs WT RNA-seq (Rep3)
- GSM8705220 E14.5 NPCs cKO RNA-seq (Rep1)
- GSM8705221 E14.5 NPCs cKO RNA-seq (Rep2)
- GSM8705222 E14.5 NPCs cKO RNA-seq (Rep3)
- GSM8705223 E14.5 WT scRNA-seq
- GSM8705224 E14.5 cKO scRNA-seq
- GSE229129 Conserved transcriptional regulation by BRN1 and BRN2 in neocortical progenitors drives mammalian neural specification and neocortical expansion 13 samples shares progenitors, neocortical, neural
- GSE308859 Integrated Spatial Transcriptomics and Single-Cell RNA Sequencing Reveal Lars2-Mediated Spatiotemporal Dynamics of Myocardial Remodeling in a Mouse Model of Transverse Aortic Constriction (TAC) 8 samples shares temporal, dynamics
- GSE333859 A global view of cell-type-specific temporal dynamics in mammalian aging 1496 samples shares temporal, dynamics
- GSE331488 A global view of cell-type-specific temporal dynamics in mammalian aging [I] 771 samples shares temporal, dynamics
- GSE331489 A global view of cell-type-specific temporal dynamics in mammalian aging [II] 725 samples shares temporal, dynamics
- GSE229427 Tracking spatio-temporal dynamics of the endothelial niche during fetal hematopoiesis 216 samples shares temporal, dynamics
- GSE247069 Self-organised pattern formation in the developing dorsal neural tube by a temporal relay of BMP signalling 48 samples shares temporal, neural
- GSE280586 Temporal dynamics of inflammatory and transcriptome changes in the myocardium in a murine model of cardiac arrest 37 samples shares temporal, dynamics
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.