← BioTransfer GEO Dataset Finder
GEO series

Control of osteocyte dendrite formation by Sp7 and its target gene osteocrin [RNA-Seq]

GSE154717 Mus musculus (mouse) Single-cell RNA-seq 18 samples Submitted 2021/09/20 Platform GPL23479
At a glance

Single-cell RNA-seq · mouse · 18 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
18 samples
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)
Some cuboidal osteoblasts differentiate into bone-embedded, dendrite-bearing osteocytes through the poorly-understood process of osteocytogenesis. Here, we report that the transcription factor Sp7 plays an essential role in osteocytogenesis. Severe defects in bone integrity and osteocyte dendrite morphology are noted in mice lacking Sp7 at the stage of the osteoblast-to-osteocyte transition.
Read the full summary ↓
In osteocytes, Sp7 controls expression of a neuronally-enriched gene network. Analysis of the osteocyte-specific Sp7 cistrome reveals distinct genomic binding motifs and target sites distinct from those in osteoblasts. Amongst osteocyte-specific Sp7 targets, the secreted peptide osteocrin rescues Sp7-deficient defects. Single-cell transcriptional profiling of cells undergoing osteocytogenesis identifies novel Sp7-dependent transitional cell types enriched in genes linked to human fracture risk. Finally, humans with an SP7 R316C mutation display osteocyte morphology defects similar to those observed in mouse models. These findings demonstrate that cuboidal osteoblasts use a neuronally-enriched Sp7/osteocrin gene expression program to differentiate into dendrite-bearing osteocytes.
This dataset
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.

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 GSE154717_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA647302 and SRA study SRP272567. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 18 more — browse all 18 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.