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 PMID:29750314  

Screening of differentially expressed genes in male idiopathic osteoporosis via RNA sequencing.

Li Feng | Yan Wang | Jing Zhou | Baofang Tian | Bo Xia
Molecular medicine reports | 2018

As a type of osteoporosis (OP), male idiopathic OP (MIO) is a bone disorder that occurs in young males and is a public health problem worldwide. However, the detailed pathogenesis of MIO remains to be elucidated. In the present study, blood samples of patients with MIO, senile OP, postmenopausal OP and normal controls (NCs) were obtained for RNA sequencing. Compared with the NC group, differentially expressed genes (DEGs) in the three types of OP were identified. DEGs that were common among the three types of OP and the DEGs that were unique to patients with MIO were determined. Gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were conducted. MIO‑specific and OP‑specific protein‑protein interaction (PPI) networks were constructed. Compared with NCs, a total of 519, 368 and 1,472 DEGs were identified in samples from MIO, senile OP and postmenopausal OP, respectively. Tetraspanin 5 (TSPAN5) and α‑synuclein (SNCA) were unique DEGs in MIO that were not identified in the other two types of OP compared with NCs. Furthermore, the expression of carbonic anhydrase 1 (CA1) and S100 calcium‑binding protein P (S100P) in MIO was significantly different compared with senile OP, postmenopausal OP and NC samples. 'MAPK signaling pathway', 'type I diabetes mellitus' and 'hematopoietic cell lineage' were among significantly enriched pathways of DEGs in MIO. SNCA and CDC‑like kinase 1 were the hub genes in the MIO‑specific PPI network. In conclusion, the mitogen‑activated protein kinase signaling and type I diabetes mellitus pathways may be involved in bone formation; SNCA and TSPAN5 may be associated with bone resorption. These two pathways and two genes may serve a role in MIO. CA1 and S100P may regulate the process of MIO by modulation of calcification and dysregulation of calcium binding. These findings may have provided an experimental basis for elucidating the underlying mechanisms and developing potential diagnostic biomarkers of MIO.

Pubmed ID: 29750314

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This is a list of tools and resources that we have found mentioned in this publication.


Biological General Repository for Interaction Datasets (BioGRID) (tool)

RRID:SCR_007393

Curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts.

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RRID:SCR_006943

Web-based tool for the ontological analysis of large lists of genes. It can be used to determine biological annotations or combinations of annotations that are significantly associated to a list of genes under study with respect to a reference list. As well as single annotations, this tool allows users to simultaneously evaluate annotations from different sources, for example Biological Process and Cellular Component categories of Gene Ontology.

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RRID:SCR_012773

Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.

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RRID:SCR_013035

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FastQC (tool)

RRID:SCR_014583

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Cufflinks (tool)

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