{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T08:40:16Z","timestamp":1778575216338,"version":"3.51.4"},"reference-count":28,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T00:00:00Z","timestamp":1726444800000},"content-version":"vor","delay-in-days":259,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273194"],"award-info":[{"award-number":["62273194"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFF1200902 2023YFF1204802"],"award-info":[{"award-number":["2021YFF1200902 2023YFF1204802"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273194"],"award-info":[{"award-number":["62273194"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFF1200902 2023YFF1204802"],"award-info":[{"award-number":["2021YFF1200902 2023YFF1204802"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,16]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Cell\u2013cell communication (CCC) through ligand\u2013receptor (L\u2013R) pairs forms the cornerstone for complex functionalities in multicellular organisms. Deciphering such intercellular signaling can contribute to unraveling disease mechanisms and enable targeted therapy. Nonetheless, notable biases and inconsistencies are evident among the inferential outcomes generated by current methods for inferring CCC network. To fill this gap, we developed collectNET (http:\/\/health.tsinghua.edu.cn\/collectnet) as a comprehensive web platform for analyzing CCC network, with efficient calculation, hierarchical browsing, comprehensive statistics, advanced searching, and intuitive visualization. collectNET provides a reliable online inference service with prior knowledge of three public L\u2013R databases and systematic integration of three mainstream inference methods. Additionally, collectNET has assembled a human CCC atlas, including 126\u2009785 significant communication pairs based on 343\u2009023 cells. We anticipate that collectNET will benefit researchers in gaining a more holistic understanding of cell development and differentiation mechanisms.<\/jats:p>\n               <jats:p>Database URL: http:\/\/health.tsinghua.edu.cn\/collectnet.<\/jats:p>","DOI":"10.1093\/database\/baae098","type":"journal-article","created":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T13:06:58Z","timestamp":1726492018000},"source":"Crossref","is-referenced-by-count":2,"title":["collectNET: a web server for integrated inference of cell\u2013cell communication network"],"prefix":"10.1093","volume":"2024","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-3422-4635","authenticated-orcid":false,"given":"Yan","family":"Pan","sequence":"first","affiliation":[{"name":"Ministry of Education Key Laboratory of Bioinformatics, Bioinformatics Division at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua 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