Unknown

Dataset Information

0

Construction and analysis of the protein-protein interaction networks for schizophrenia, bipolar disorder, and major depression.


ABSTRACT: BACKGROUND: Schizophrenia, bipolar disorder, and major depression are devastating mental diseases, each with distinctive yet overlapping epidemiologic characteristics. Microarray and proteomics data have revealed genes which expressed abnormally in patients. Several single nucleotide polymorphisms (SNPs) and mutations are associated with one or more of the three diseases. Nevertheless, there are few studies on the interactions among the disease-associated genes and proteins. RESULTS: This study, for the first time, incorporated microarray and protein-protein interaction (PPI) databases to construct the PPI network of abnormally expressed genes in postmortem brain samples of schizophrenia, bipolar disorder, and major depression patients. The samples were collected from Brodmann area (BA) 10 of the prefrontal cortex. Abnormally expressed disease genes were selected by t-tests comparing the disease and control samples. These genes were involved in housekeeping functions (e.g. translation, transcription, energy conversion, and metabolism), in brain specific functions (e.g. signal transduction, neuron cell differentiation, and cytoskeleton), or in stress responses (e.g. heat shocks and biotic stress).The diseases were interconnected through several "switchboard"-like nodes in the PPI network or shared abnormally expressed genes. A "core" functional module which consisted of a tightly knitted sub-network of clique-5 and -4s was also observed. These cliques were formed by 12 genes highly expressed in both disease and control samples. CONCLUSIONS: Several previously unidentified disease marker genes and drug targets, such as SBNO2 (schizophrenia), SEC24C (bipolar disorder), and SRRT (major depression), were identified based on statistical and topological analyses of the PPI network. The shared or interconnecting marker genes may explain the shared symptoms of the studied diseases. Furthermore, the "switchboard" genes, such as APP, UBC, and YWHAZ, are proposed as potential targets for developing new treatments due to their functional and topological significance.

SUBMITTER: Lee SA 

PROVIDER: S-EPMC3278837 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

altmetric image

Publications

Construction and analysis of the protein-protein interaction networks for schizophrenia, bipolar disorder, and major depression.

Lee Sheng-An SA   Tsao Theresa Tsun-Hui TT   Yang Ko-Chun KC   Lin Han H   Kuo Yu-Lun YL   Hsu Chien-Hsiang CH   Lee Wen-Kuei WK   Huang Kuo-Chuan KC   Kao Cheng-Yan CY  

BMC bioinformatics 20111130


<h4>Background</h4>Schizophrenia, bipolar disorder, and major depression are devastating mental diseases, each with distinctive yet overlapping epidemiologic characteristics. Microarray and proteomics data have revealed genes which expressed abnormally in patients. Several single nucleotide polymorphisms (SNPs) and mutations are associated with one or more of the three diseases. Nevertheless, there are few studies on the interactions among the disease-associated genes and proteins.<h4>Results</h  ...[more]

Similar Datasets

| S-EPMC3880556 | biostudies-literature
| S-EPMC8130005 | biostudies-literature
| S-EPMC2579333 | biostudies-literature
| S-EPMC2654519 | biostudies-literature
| S-EPMC5537640 | biostudies-literature
| S-EPMC8821164 | biostudies-literature
| S-EPMC7910219 | biostudies-literature
| S-EPMC6495355 | biostudies-literature
| S-EPMC3406228 | biostudies-literature
| S-EPMC4047134 | biostudies-other