GEO series

miR-324 regulates both osteoblast and osteoclast differentiation and function to control bone homeostasis

GSE233809 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/10/01 Platform GPL19057

At a glance

RNA-seq (gene expression) · mouse · 10 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: 10 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)

microRNAs are non-coding RNAs which modulate the expression of other RNA molecules. One microRNA can target many transcripts, allowing each microRNA to play key roles in many biological pathways. miR-324 is a microRNA previously implicated in bone and cartilage maintenance, defects of which result in common age-related diseases, such as osteoporosis or osteoarthritis (OA).

Read the full summary ↓

Cartilage damage was increased in both surgically and ageing-induced OA however changes in the cartilage transcriptome were minimal, with few miR-324 predicted targets dysregulated. However, in vivo micro-computed tomography and histology demonstrated that global miR-324-null mice had an increase in bone mineral density, trabecular thickness and cortical thickness, with many parameters increasing with age. The bones of the miR-null mice also had decreased osteocytes numbers and lipid droplets. In vivo TRAP staining revealed a decrease in osteoclasts with histomorphometry demonstrating an increased rate of bone formation in miR-324-null mice. Ex vivo assays revealed that the high bone mass phenotype of the miR-324-null mice resulted from increased osteoblast activity and decreased osteoclastogenesis. RNA-seq and qRT-PCR followed by miR-324 target prediction and validation in osteoblasts, bone marrow macrophages and osteocytes, revealed that the osteoclast fusion regulator Pin1 was a miR-324 target in the osteoclast lineage, Hoxa9 and Samd5 were osteocyte target genes and the master osteogenic regulator Runx2 was a target of miR-324-5p in osteoblasts, the in vitro overexpression of which recapitulated the increased osteogenesis and decreased adipogenesis phenotype observed in vivo. These data point to important roles of miR-324 in skeletal biology. Elucidation of pathways regulated by miR-324 offers promise for the treatment of bone diseases such as osteoporosis.

This dataset

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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 GSE233809_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 PRJNA978033 and SRA study SRP440481. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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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.