ArticleNucleic acids research2018
TCSBN: a database of tissue and cancer specific biological networks.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
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- Molecular profiling of high-level athlete skeletal muscle after acute endurance or resistance exercise - A systems biology approach.Molecular metabolism · 2024Article
- Multidimensional computational study to understand non-coding RNA interactions in breast cancer metastasis.Scientific reports · 2023Article
- A knowledge graph approach to predict and interpret disease-causing gene interactions.BMC bioinformatics · 2023Article
- Faster and more accurate pathogenic combination predictions with VarCoPP2.0.BMC bioinformatics · 2023Article
- A Descriptive Whole-Genome Transcriptomics Study in a Stem Cell-Based Tool Predicts Multiple Tissue-Specific Beneficial Potential and Molecular Targets of Carnosic Acid.International journal of molecular sciences · 2023Article
- Hepatic Transcriptome Analysis Reveals Genes, Polymorphisms, and Molecules Related to Lamb Tenderness.Animals : an open access journal from MDPI · 2023Article
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- Genetically regulated multi-omics study for symptom clusters of posttraumatic stress disorder highlights pleiotropy with hematologic and cardio-metabolic traits.Molecular psychiatry · 2022Article
- A network-based approach reveals the dysregulated transcriptional regulation in non-alcoholic fatty liver disease.iScience · 2021Article
- Association of miR-499 Polymorphism and Its Regulatory Networks with Hashimoto Thyroiditis Susceptibility: A Population-Based Case-Control Study.International journal of molecular sciences · 2021Article
- iNetModels 2.0: an interactive visualization and database of multi-omics data.Nucleic acids research · 2021Article
- Addressing the heterogeneity in liver diseases using biological networks.Briefings in bioinformatics · 2021Review
- Current State of "Omics" Biomarkers in Pancreatic Cancer.Journal of personalized medicine · 2021Review
- Upregulation of GNPNAT1 Predicts Poor Prognosis and Correlates With Immune Infiltration in Lung Adenocarcinoma.Frontiers in molecular biosciences · 2021Article
- Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study.Frontiers in genetics · 2021Article
- Hepatic transcriptome analysis identifies genes, polymorphisms and pathways involved in the fatty acids metabolism in sheep.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological networks provide new opportunities for understanding the cellular biology in both health and disease states. We generated tissue specific integrated networks (INs) for liver, muscle and adipose tissues by integrating metabolic, regulatory and protein-protein interaction networks. We also generated human co-expression networks (CNs) for 46 normal tissues and 17 cancers to explore the functional relationships between genes as well as their relationships with biological functions, and investigate the overlap between functional and physical interactions provided by CNs and INs, respectively. These networks can be employed in the analysis of omics data, provide detailed insight into disease mechanisms by identifying the key biological components and eventually can be used in the development of efficient treatment strategies. Moreover, comparative analysis of the networks may allow for the identification of tissue-specific targets that can be used in the development of drugs with the minimum toxic effect to other human tissues. These context-specific INs and CNs are presented in an interactive website http://inetmodels.com without any limitation.
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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.