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Time-resolved function of cell polarity kinases PRKCZ and PRKCI in CNS myelination [snrna_oligo]

GSE263981 Mus musculus (mouse) Single-nucleus RNA-seq 14 samples Submitted 2024/04/21 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 14 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
Organism
Mus musculus (mouse)
Samples
14 samples: 13 distinct titles, 1 of them repeatedGroups 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.
Summary (written by the submitters)
The atypical Protein Kinase C (aPKC) is a critical component of the PAR polarity complex, as well as of cell polarity in general. There are two paralogs of aPKC in the mammalian genome. Their expression pattern and functional role in oligodendrocyte lineage differentiation and development remains heretofore uncharacterized. Here we show that both paralogs of aPKC – PRKCI, the primary transcript of Prkci and PKMz, an alternate transcript of Prkcz – are expressed during oligodendrocyte differentiation, yet are functionally non-redundant.
Read the full summary ↓
Asymmetric cell division and early specification of the oligodendrocyte fate stage required both paralogs. By contrast, the stage of oligodendrocyte maturation involving membrane polarization and myelination of axons continued to require PKMz, but no longer needed PRKCI. Taken together, our results indicate to a two-stage role of aPKCs and cell polarity in oligodendrocyte differentiation and development.
This dataset
Open GSE263981 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE263981_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1100500 and SRA study SRP501840. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
13 distinct titles, 1 of them repeated
Control_P ×2

How we read this: Read from 14 sample titles: 13 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.

Samples in this study
Datasets on a similar topic

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