ArticleInternational journal of Alzheimer's disease2011
Bioinformatics identification of modules of transcription factor binding sites in Alzheimer's disease-related genes by in silico promoter analysis and microarrays.
Article in International journal of Alzheimer's disease, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- A rationale for considering heart/brain axis control in neuropsychiatric disease.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Review
- A Mutant Variant of E2F4 Triggers Multifactorial Therapeutic Effects in 5xFAD Mice.Molecular neurobiology · 2022Article
- Transcriptional regulation of prolactin in a euryhaline teleost: Characterisation of gene promoters through in silico and transcriptome analyses.Journal of neuroendocrinology · 2020Review
- A Selection of Important Genes and Their Correlated Behavior in Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2018Article
- Targeting innate immunity for neurodegenerative disorders of the central nervous system.Journal of neurochemistry · 2016Review
- Microglial malfunction: the third rail in the development of Alzheimer's disease.Trends in neurosciences · 2015Review
- Gene expression profiles of entorhinal cortex in Alzheimer's disease.American journal of Alzheimer's disease and other dementias · 2014Article
- Mitochondrial dysfunction and decrease in body weight of a transgenic knock-in mouse model for TDP-43.The Journal of biological chemistry · 2014Article
- Mouse IDGenes: a reference database for genetic interactions in the developing mouse brain.Database : the journal of biological databases and curation · 2014Article
- Computational identification and experimental validation of microRNAs binding to the Alzheimer-related gene ADAM10.BMC medical genetics · 2012Article
- Nearest hyperplane distance neighbor clustering algorithm applied to gene co-expression analysis in Alzheimer's disease.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2011Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The molecular mechanisms and genetic risk factors underlying Alzheimer's disease (AD) pathogenesis are only partly understood. To identify new factors, which may contribute to AD, different approaches are taken including proteomics, genetics, and functional genomics. Here, we used a bioinformatics approach and found that distinct AD-related genes share modules of transcription factor binding sites, suggesting a transcriptional coregulation. To detect additional coregulated genes, which may potentially contribute to AD, we established a new bioinformatics workflow with known multivariate methods like support vector machines, biclustering, and predicted transcription factor binding site modules by using in silico analysis and over 400 expression arrays from human and mouse. Two significant modules are composed of three transcription factor families: CTCF, SP1F, and EGRF/ZBPF, which are conserved between human and mouse APP promoter sequences. The specific combination of in silico promoter and multivariate analysis can identify regulation mechanisms of genes involved in multifactorial diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.