ArticleBMC systems biology2011
Identifying Tmem59 related gene regulatory network of mouse neural stem cell from a compendium of expression profiles.
Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 33 citations in OpenAlex.
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- Genetic polymorphisms of bone marrow stromal cell antigen-1 (BST-1/CD157): implications for immune/inflammatory dysfunction in neuropsychiatric disorders.Frontiers in immunology · 2023Review
- α-Arrestins and Their Functions: From Yeast to Human Health.International journal of molecular sciences · 2022Review
- Whole Blood Transcriptome Characterization of 3xTg-AD Mouse and Its Modulation by Transcranial Direct Current Stimulation (tDCS).International journal of molecular sciences · 2021Article
- Roles, molecular mechanisms, and signaling pathways of TMEMs in neurological diseases.American journal of translational research · 2021Review
- Identification of driver genes and key pathways of non-functional pituitary adenomas predicts the therapeutic effect of STO-609.PloS one · 2020Article
- Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies.BMC bioinformatics · 2019Article
- ANKRD22 is involved in the progression of prostate cancer.Oncology letters · 2019Article
- TMEM39A and Human Diseases: A Brief Review.Toxicological research · 2017Review
- Association Study between the CD157/BST1 Gene and Autism Spectrum Disorders in a Japanese Population.Brain sciences · 2015Article
- Dynamic regulatory network reconstruction for Alzheimer's disease based on matrix decomposition techniques.Computational and mathematical methods in medicine · 2014Article
- Predicting tissue specific transcription factor binding sites.BMC genomics · 2013Article
- Mouse strain specific gene expression differences for illumina microarray expression profiling in embryos.BMC research notes · 2012Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeural stem cells offer potential treatment for neurodegenerative disorders, such like Alzheimer's disease (AD). While much progress has been made in understanding neural stem cell function, a precise description of the molecular mechanisms regulating neural stem cells is not yet established. This lack of knowledge is a major barrier holding back the discovery of therapeutic uses of neural stem cells. In this paper, the regulatory mechanism of mouse neural stem cell (NSC) differentiation by tmem59 is explored on the genome-level.
resultsWe identified regulators of tmem59 during the differentiation of mouse NSCs from a compendium of expression profiles. Based on the microarray experiment, we developed the parallelized SWNI algorithm to reconstruct gene regulatory networks of mouse neural stem cells. From the inferred tmem59 related gene network including 36 genes, pou6f1 was identified to regulate tmem59 significantly and might play an important role in the differentiation of NSCs in mouse brain. There are four pathways shown in the gene network, indicating that tmem59 locates in the downstream of the signalling pathway. The real-time RT-PCR results shown that the over-expression of pou6f1 could significantly up-regulate tmem59 expression in C17.2 NSC line. 16 out of 36 predicted genes in our constructed network have been reported to be AD-related, including Ace, aqp1, arrdc3, cd14, cd59a, cds1, cldn1, cox8b, defb11, folr1, gdi2, mmp3, mgp, myrip, Ripk4, rnd3, and sncg. The localization of tmem59 related genes and functional-related gene groups based on the Gene Ontology (GO) annotation was also identified.
conclusionsOur findings suggest that the expression of tmem59 is an important factor contributing to AD. The parallelized SWNI algorithm increased the efficiency of network reconstruction significantly. This study enables us to highlight novel genes that may be involved in NSC differentiation and provides a shortcut to identifying genes for AD.
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