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Comprehensive transcriptome analysis of osteoclasts with the SIK3 deletion and pterosin B treatment.

GSE234221 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2024/07/21 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 6 × SC vs 3 × WT vs 3 × KO vs 3 × SCRPGroups 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
Impact of the SIK3 pathway inhibition on osteoclast differentiation via oxidative phosphorylationJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
Summary (written by the submitters)
Maintenance of bone homeostasis and the balance between bone resorption and formation are crucial for maintaining skeletal integrity. Osteoclasts are responsible for bone resorption and play a vital role in this process. The role of salt-inducible kinase 3 (SIK3) in osteoclast differentiation and maturation and its potential as a therapeutic target for osteoporosis remain poorly understood.
Read the full summary ↓
Here, we generated osteoclast-specific Sik3 conditional knockout (cKO) mice and investigated the effects of SIK3 deletion on bone homeostasis. Our findings revealed increased bone mineral density and an osteopetrosis phenotype in Sik3 cKO mice, indicating the involvement of SIK3 in bone resorption. Furthermore, we examined the effect of pterosin B, an SIK3 inhibitor, on osteoclast differentiation. Pterosin B treatment inhibits osteoclast differentiation in vitro, reduces the number of multinucleated osteoclasts, and suppresses bone resorption. Therefore, in this study, to better understand the molecular mechanism of SIK3 in osteoclast differentiation and maturation, we performed gene expression profiling of bone marrow monocytes from SIK3 deletion and pterosin B treated mice using RNA sequencing (RNA-seq).
Published in
Impact of the SIK3 pathway inhibition on osteoclast differentiation via oxidative phosphorylation
Kamei K, Yahara Y, Kim JD et al. · Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research 2024 · PMID 39030684 · doi:10.1093/jbmr/zjae105
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 GSE234221_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: 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 PRJNA980570 and SRA study SRP441303. Searching any of these in the dataset finder brings you back here.

Study design
6 × SC vs 3 × WT vs 3 × KO vs 3 × SCRP

Supports a between-group comparison across 15 samples.

How we read this: 4 replicated groups read from 15 sample titles; they account for 15 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
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