In addition to many other genes, tissue-specific genes (TSGs) represent a set of genes of great importance for human physiology. However, the links among TSGs, diseases, and potential therapeutic agents are often missing, hidden, or too scattered to find. There is a need to establish a knowledgebase for researchers to share this and additional information in order to speed up discovery and clinical practice. As an initiative toward systems biology, the VeryGene web server was developed to fill this gap. A significant effort has been made to integrate TSGs from two large-scale data analyses with respective information on subcellular localization, Gene Ontology, Reactome, KEGG pathway, Mouse Genome Informatics (MGI) Mammalian Phenotype, disease association, and targeting drugs. The current release carefully selected 3,960 annotated TSGs derived from 127 normal human tissues and cell types, including 5,672 gene-disease and 2,171 drug-target relationships. In addition to being a specialized source for TSGs, VeryGene can be used as a discovery tool by generating novel inferences. Some inherently useful but hidden relations among genes, diseases, drugs, and other important aspects can be inferred to form testable hypotheses. VeryGene is available online at http://www.verygene.com.
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http://dx.doi.org/10.1152/physiolgenomics.00178.2010 | DOI Listing |
Database (Oxford)
January 2025
Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India.
Amidst the global challenge of extreme poverty, the livestock sector can significantly contribute to global sustainable development goals by enhancing resilience, smallholder productivity, and market participation. The Indian livestock sector is one of the largest in the world with a total livestock population of 535.82 million, ∼10.
View Article and Find Full Text PDFMetabolites
January 2025
Department of Crop Science, Chungbuk National University, Cheong-ju 28644, Republic of Korea.
Drought stress has become one of the biggest concerns in threating the growth and yield of carrots ( L.). Recent studies have shed light on the physiological and molecular metabolisms in response to drought in the carrot plant; however, tissue-specific responses and regulations are still not fully understood.
View Article and Find Full Text PDFCurr Issues Mol Biol
January 2025
Department of Biology, Faculty of Sciences, Al-Baha University, Al-Baha 65729, Saudi Arabia.
Understanding the ammonium (NH) uptake and transport systems, particularly genes, is important for plant growth and defense. However, there is a lack of research on identifying and analyzing genes in pomegranate, emphasizing the need for further investigation in this area. Five genes ( to ) were identified, all of which contain the PF00909 domain, a feature of ammonium transporters.
View Article and Find Full Text PDFCirc Genom Precis Med
January 2025
CARIM School for Cardiovascular Diseases (A.I., S.Z., J.W., B.B., H.J.G.M.C., B.H., M.K., S.V., U.S., M.S.), Maastricht University, the Netherlands.
Background: Transcriptional dysregulation, possibly affected by genetic variation, contributes to disease development. Due to dissimilarities in development, function, and remodeling during disease progression, transcriptional differences between the left atrial (LA) and right atrial (RA) may provide insight into diseases such as atrial fibrillation.
Methods: Lateral differences in atrial transcription were evaluated in CATCH ME (Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly) using a 2-stage discovery and replication design.
J Affect Disord
January 2025
Department of Environmental Genomics, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China. Electronic address:
Background: The co-occurrence of smoking behaviors and major depressive disorder (MDD) has been widely documented in populations. However, the underlying mechanism of this association remains unclear.
Methods: Genome-wide association studies of smoking behaviors and MDD, combined with multi-omics datasets, were usedto characterise genetic correlations, identify shared loci and genes, and explore underlying biological mechanisms.
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