Bioinformatics Analysis of Genes and Signaling Pathways in Connection with the Pathogenesis of Bipolar Disorder

Enlian Ma; Yufen Liang; Yingying Xie; Haoxi Chen; Liyu He; Ying Wang; Xiaogang Liu

doi:10.1117/12.2687542

Bioinformatics Analysis of Genes and Signaling Pathways in Connection with the Pathogenesis of Bipolar Disorder

Enlian Ma
, Yufen Liang
, Yingying Xie
, Haoxi Chen
, Liyu He
, Ying Wang^*
, Xiaogang Liu^*

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Bipolar disorder (BD), which also refers to manic-depressive disease, often synchronously develops accompanying mental disorder, endocrine, and long-term awful physical conditions and has a poor prognosis, making bipolar disorder a significant public health problem and a global disease burden. The disorder is highly heritable and has been shown to be genetically linked. Identifying and screening major molecular markers for therapeutic targeting has become a global concern. This paper aims to use a bioinformatics approach to screen genes included in the pathogenesis of bipolar affective disorder and to analyze their signaling pathways. In this study, mRNA expression profiles in the orbitofrontal cortex (GSE5389) and dorsolateral brain tissue (GSE5388) obtained from the GEO public database on the National Center for Biological Information (NCBI) website were employed in order to detect and analyze differentially expressed genes (DEGs) in the normal and disease groups adopting the limma package with the R language, followed by an application of Metascape database for GO and KEGG signaling pathway analysis and WGCNA package for GSE5389 for weighted gene co-expression network analysis in order to acquire the relevant modules as well as crucial genes relation. It was shown that patients with bipolar disorder, genes included in the development of neuronal cell development, cell agglutination, immune signaling, and glial cell regeneration are dysregulated.

Original language	English
Title of host publication	Second International Conference on Biomedical and Intelligent Systems, IC-BIS 2023
Editors	Ming Chen, Gangmin Ning
Publisher	SPIE
ISBN (Electronic)	9781510666733
DOIs	https://doi.org/10.1117/12.2687542
Publication status	Published - 2023
Event	2nd International Conference on Biomedical and Intelligent Systems, IC-BIS 2023 - Xiamen, China Duration: 28 Apr 2023 → 30 Apr 2023

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	12724
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	2nd International Conference on Biomedical and Intelligent Systems, IC-BIS 2023
Country/Territory	China
City	Xiamen
Period	28/04/23 → 30/04/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Bioinformatics
Bipolar affective disorder
Signaling pathways

Access to Document

10.1117/12.2687542

Cite this

Ma, E., Liang, Y., Xie, Y., Chen, H., He, L., Wang, Y., & Liu, X. (2023). Bioinformatics Analysis of Genes and Signaling Pathways in Connection with the Pathogenesis of Bipolar Disorder. In M. Chen, & G. Ning (Eds.), Second International Conference on Biomedical and Intelligent Systems, IC-BIS 2023 Article 1272418 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12724). SPIE. https://doi.org/10.1117/12.2687542

@inproceedings{c1bc0ea45fc247e7b68d4729c9756745,

title = "Bioinformatics Analysis of Genes and Signaling Pathways in Connection with the Pathogenesis of Bipolar Disorder",

abstract = "Bipolar disorder (BD), which also refers to manic-depressive disease, often synchronously develops accompanying mental disorder, endocrine, and long-term awful physical conditions and has a poor prognosis, making bipolar disorder a significant public health problem and a global disease burden. The disorder is highly heritable and has been shown to be genetically linked. Identifying and screening major molecular markers for therapeutic targeting has become a global concern. This paper aims to use a bioinformatics approach to screen genes included in the pathogenesis of bipolar affective disorder and to analyze their signaling pathways. In this study, mRNA expression profiles in the orbitofrontal cortex (GSE5389) and dorsolateral brain tissue (GSE5388) obtained from the GEO public database on the National Center for Biological Information (NCBI) website were employed in order to detect and analyze differentially expressed genes (DEGs) in the normal and disease groups adopting the limma package with the R language, followed by an application of Metascape database for GO and KEGG signaling pathway analysis and WGCNA package for GSE5389 for weighted gene co-expression network analysis in order to acquire the relevant modules as well as crucial genes relation. It was shown that patients with bipolar disorder, genes included in the development of neuronal cell development, cell agglutination, immune signaling, and glial cell regeneration are dysregulated.",

keywords = "Bioinformatics, Bipolar affective disorder, Signaling pathways",

author = "Enlian Ma and Yufen Liang and Yingying Xie and Haoxi Chen and Liyu He and Ying Wang and Xiaogang Liu",

note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; 2nd International Conference on Biomedical and Intelligent Systems, IC-BIS 2023 ; Conference date: 28-04-2023 Through 30-04-2023",

year = "2023",

doi = "10.1117/12.2687542",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Ming Chen and Gangmin Ning",

booktitle = "Second International Conference on Biomedical and Intelligent Systems, IC-BIS 2023",

address = "United States",

}

Ma, E, Liang, Y, Xie, Y, Chen, H, He, L, Wang, Y & Liu, X 2023, Bioinformatics Analysis of Genes and Signaling Pathways in Connection with the Pathogenesis of Bipolar Disorder. in M Chen & G Ning (eds), Second International Conference on Biomedical and Intelligent Systems, IC-BIS 2023., 1272418, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12724, SPIE, 2nd International Conference on Biomedical and Intelligent Systems, IC-BIS 2023, Xiamen, China, 28/04/23. https://doi.org/10.1117/12.2687542

Bioinformatics Analysis of Genes and Signaling Pathways in Connection with the Pathogenesis of Bipolar Disorder. / Ma, Enlian; Liang, Yufen; Xie, Yingying et al.
Second International Conference on Biomedical and Intelligent Systems, IC-BIS 2023. ed. / Ming Chen; Gangmin Ning. SPIE, 2023. 1272418 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12724).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bioinformatics Analysis of Genes and Signaling Pathways in Connection with the Pathogenesis of Bipolar Disorder

AU - Ma, Enlian

AU - Liang, Yufen

AU - Xie, Yingying

AU - Chen, Haoxi

AU - He, Liyu

AU - Wang, Ying

AU - Liu, Xiaogang

PY - 2023

Y1 - 2023

N2 - Bipolar disorder (BD), which also refers to manic-depressive disease, often synchronously develops accompanying mental disorder, endocrine, and long-term awful physical conditions and has a poor prognosis, making bipolar disorder a significant public health problem and a global disease burden. The disorder is highly heritable and has been shown to be genetically linked. Identifying and screening major molecular markers for therapeutic targeting has become a global concern. This paper aims to use a bioinformatics approach to screen genes included in the pathogenesis of bipolar affective disorder and to analyze their signaling pathways. In this study, mRNA expression profiles in the orbitofrontal cortex (GSE5389) and dorsolateral brain tissue (GSE5388) obtained from the GEO public database on the National Center for Biological Information (NCBI) website were employed in order to detect and analyze differentially expressed genes (DEGs) in the normal and disease groups adopting the limma package with the R language, followed by an application of Metascape database for GO and KEGG signaling pathway analysis and WGCNA package for GSE5389 for weighted gene co-expression network analysis in order to acquire the relevant modules as well as crucial genes relation. It was shown that patients with bipolar disorder, genes included in the development of neuronal cell development, cell agglutination, immune signaling, and glial cell regeneration are dysregulated.

AB - Bipolar disorder (BD), which also refers to manic-depressive disease, often synchronously develops accompanying mental disorder, endocrine, and long-term awful physical conditions and has a poor prognosis, making bipolar disorder a significant public health problem and a global disease burden. The disorder is highly heritable and has been shown to be genetically linked. Identifying and screening major molecular markers for therapeutic targeting has become a global concern. This paper aims to use a bioinformatics approach to screen genes included in the pathogenesis of bipolar affective disorder and to analyze their signaling pathways. In this study, mRNA expression profiles in the orbitofrontal cortex (GSE5389) and dorsolateral brain tissue (GSE5388) obtained from the GEO public database on the National Center for Biological Information (NCBI) website were employed in order to detect and analyze differentially expressed genes (DEGs) in the normal and disease groups adopting the limma package with the R language, followed by an application of Metascape database for GO and KEGG signaling pathway analysis and WGCNA package for GSE5389 for weighted gene co-expression network analysis in order to acquire the relevant modules as well as crucial genes relation. It was shown that patients with bipolar disorder, genes included in the development of neuronal cell development, cell agglutination, immune signaling, and glial cell regeneration are dysregulated.

KW - Bioinformatics

KW - Bipolar affective disorder

KW - Signaling pathways

UR - https://www.scopus.com/pages/publications/85173018647

U2 - 10.1117/12.2687542

DO - 10.1117/12.2687542

M3 - Conference contribution

AN - SCOPUS:85173018647

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Second International Conference on Biomedical and Intelligent Systems, IC-BIS 2023

A2 - Chen, Ming

A2 - Ning, Gangmin

PB - SPIE

T2 - 2nd International Conference on Biomedical and Intelligent Systems, IC-BIS 2023

Y2 - 28 April 2023 through 30 April 2023

ER -

Ma E, Liang Y, Xie Y, Chen H, He L, Wang Y et al. Bioinformatics Analysis of Genes and Signaling Pathways in Connection with the Pathogenesis of Bipolar Disorder. In Chen M, Ning G, editors, Second International Conference on Biomedical and Intelligent Systems, IC-BIS 2023. SPIE. 2023. 1272418. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2687542

Bioinformatics Analysis of Genes and Signaling Pathways in Connection with the Pathogenesis of Bipolar Disorder

Abstract

Publication series

Conference

UN SDGs

Keywords

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