ArticleBMC medical genomics2015
LENS: web-based lens for enrichment and network studies of human proteins.
Article in BMC medical genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Genome-wide meta-analysis associates GPSM1 with type 2 diabetes, a plausible gene involved in skeletal muscle function.Journal of human genetics · 2020Pooled it
- Variation at 2q35 (PNKD and TMBIM1) influences colorectal cancer risk and identifies a pleiotropic effect with inflammatory bowel disease.Human molecular genetics · 2016Pooled it
- Three Unrelated Children With Childhood Apraxia of Speech: Exome Sequencing and Functional Gene Analysis Imply a Role of Laminin-511 in Early Neurodevelopment.Case reports in genetics · 2026Article
- PIM kinase inhibition counters resistance to radiotherapy and chemotherapy in human prostate cancer.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025Article
- Flow blockage disrupts cilia-driven fluid transport in the epileptic brain.Acta neuropathologica · 2022Article
- A new strategy to uncover fragile X proteomic biomarkers using the nascent proteome of peripheral blood mononuclear cells (PBMCs).Scientific reports · 2021Article
- The Role of Fibroblast Growth Factor 19 in Hepatocellular Carcinoma.The American journal of pathology · 2021Review
- Localized EMT reprograms glial progenitors to promote spinal cord repair.Developmental cell · 2021Article
- Protein Biomarkers of Autism Spectrum Disorder Identified by Computational and Experimental Methods.Frontiers in psychiatry · 2021Article
- Potentially repurposable drugs for schizophrenia identified from its interactome.Scientific reports · 2019Article
- Identification of Blood Biomarkers for Alzheimer's Disease Through Computational Prediction and Experimental Validation.Frontiers in neurology · 2018Article
- Analysis of Time-Series Gene Expression Data to Explore Mechanisms of Chemical-Induced Hepatic Steatosis Toxicity.Frontiers in genetics · 2018Article
- Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia.Nature communications · 2017Article
- Pilot study of small bowel mucosal gene expression in patients with irritable bowel syndrome with diarrhea.American journal of physiology. Gastrointestinal and liver physiology · 2016Article
- GIW and InCoB, two premier bioinformatics conferences in Asia with a combined 40 years of history.BMC genomics · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundNetwork analysis is a common approach for the study of genetic view of diseases and biological pathways. Typically, when a set of genes are identified to be of interest in relation to a disease, say through a genome wide association study (GWAS) or a different gene expression study, these genes are typically analyzed in the context of their protein-protein interaction (PPI) networks. Further analysis is carried out to compute the enrichment of known pathways and disease-associations in the network. Having tools for such analysis at the fingertips of biologists without the requirement for computer programming or curation of data would accelerate the characterization of genes of interest. Currently available tools do not integrate network and enrichment analysis and their visualizations, and most of them present results in formats not most conducive to human cognition.
resultsWe developed the tool Lens for Enrichment and Network Studies of human proteins (LENS) that performs network and pathway and diseases enrichment analyses on genes of interest to users. The tool creates a visualization of the network, provides easy to read statistics on network connectivity, and displays Venn diagrams with statistical significance values of the network's association with drugs, diseases, pathways, and GWASs. We used the tool to analyze gene sets related to craniofacial development, autism, and schizophrenia.
conclusionLENS is a web-based tool that does not require and download or plugins to use. The tool is free and does not require login for use, and is available at http://severus.dbmi.pitt.edu/LENS.
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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.