← BioTransfer GEO Dataset Finder
GEO series

Clip2 as a novel regulator of osteocyte maturation and morphology

GSE311295 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2026/06/01 Platform GPL17021Platform GPL30215
At a glance

RNA-seq (gene expression) · mouse · 14 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
14 samples: 6 conditions, mostly in duplicateGroups 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
Genome-wide CRISPR interference screen identifies Clip2 as a novel regulator of osteocyte maturation and morphologyThe Journal of biological chemistry · 2026
Summary (written by the submitters)
The genes driving osteocyte maturation and function are not fully understood. We identified CD61 (integrin beta-3) as a marker of osteocyte maturation and developed a flow cytometry-based assay to quantify surface CD61 protein levels. Surface CD61 expression increases during osteocyte maturation, and CD61-high cells express higher levels of osteocyte marker genes. In a genome-wide screen, we identified Clip2, which encodes a microtubule binding protein, as one of dozens of genes necessary for CD61 expression.
Published in
Genome-wide CRISPR interference screen identifies Clip2 as a novel regulator of osteocyte maturation and morphology
Mazur CM, Kotsalidis PE, George M et al. · The Journal of biological chemistry 2026 · PMID 42055327 · doi:10.1016/j.jbc.2026.113075
This dataset
Open GSE311295 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 GSE311295_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: 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 PRJNA1368893 and SRA study SRP648663. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42055327) ↗
Study design
6 conditions, mostly in duplicate
Ocy454 cells, FACS-sorted CD61 low, ×3 Ocy454 cells, FACS-sorted CD61 high, ×3 Ocy454 cells, differentiation day 1, ×2 Ocy454 cells, differentiation day 7, ×2 Ocy454 cells, differentiation day 10, ×2 Ocy454 cells, differentiation day 14, ×2

Supports a between-group comparison across 14 samples.

How we read this: 6 replicated groups read from 14 sample titles; they account for 14 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.

Samples in this study
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.