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Users run ResponseNet by defining source and target sets of proteins, genes and\/or microRNAs, and by specifying a molecular interaction network (interactome). The output of ResponseNet is a sparse, high-probability interactome subnetwork that connects the two sets, thereby revealing additional molecules and interactions that are involved in the studied condition. In recent years, massive efforts were invested in profiling the transcriptomes of human tissues, enabling the inference of human tissue interactomes. ResponseNet v.3 expands ResponseNet2.0 by harnessing \u223c11,600 RNA-sequenced human tissue profiles made available by the Genotype-Tissue Expression consortium, to support context-specific analysis of 44 human tissues. Thus, ResponseNet v.3 allows users to illuminate the signaling and regulatory pathways potentially active in the context of a specific tissue, and to compare them with active pathways in other tissues. In the era of precision medicine, such analyses open the door for tissue- and patient-specific analyses of pathways and diseases.<\/jats:p>","DOI":"10.1093\/nar\/gkz421","type":"journal-article","created":{"date-parts":[[2019,5,6]],"date-time":"2019-05-06T16:33:40Z","timestamp":1557160420000},"page":"W242-W247","source":"Crossref","is-referenced-by-count":9,"title":["ResponseNet v.3: revealing signaling and regulatory pathways connecting your proteins and genes across human tissues"],"prefix":"10.1093","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5764-1066","authenticated-orcid":false,"given":"Omer","family":"Basha","sequence":"first","affiliation":[{"name":"Department of Clinical Biochemistry & Pharmacology, Faculty of Health Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Omry","family":"Mauer","sequence":"additional","affiliation":[{"name":"Department of Clinical Biochemistry & Pharmacology, Faculty of Health Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7461-5102","authenticated-orcid":false,"given":"Eyal","family":"Simonovsky","sequence":"additional","affiliation":[{"name":"Department of Clinical Biochemistry & Pharmacology, Faculty of Health Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rotem","family":"Shpringer","sequence":"additional","affiliation":[{"name":"Department of Clinical Biochemistry & Pharmacology, Faculty of Health Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8279-7898","authenticated-orcid":false,"given":"Esti","family":"Yeger-Lotem","sequence":"additional","affiliation":[{"name":"Department of Clinical Biochemistry & Pharmacology, Faculty of Health Sciences"},{"name":"National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2019,5,22]]},"reference":[{"key":"2019062808324609300_B1","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.tibs.2017.02.006","article-title":"Proteome-scale human interactomics","volume":"42","author":"Luck","year":"2017","journal-title":"Trends Biochem. 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