{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00227623","sets":["1164:5352:11207:11343"]},"path":["11343"],"owner":"44499","recid":"227623","title":["Decoding cellular deformation from pseudo-simultaneously observed multiple molecular activities"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-08-30"},"_buckets":{"deposit":"9be654d7-7630-49fb-ae8c-871cfed2425f"},"_deposit":{"id":"227623","pid":{"type":"depid","value":"227623","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Decoding cellular deformation from pseudo-simultaneously observed multiple molecular activities","author_link":["606556","606557","606555","606558"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Decoding cellular deformation from pseudo-simultaneously observed multiple molecular activities"},{"subitem_title":"Decoding cellular deformation from pseudo-simultaneously observed multiple molecular activities","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ディスカッショントラック","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-08-30","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Computational Biology, School of Medicine, Fujita Health University"},{"subitem_text_value":"Laboratory of Data-Driven Biology, Nara Institute of Science and Technology"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Computational Biology, School of Medicine, Fujita Health University","subitem_text_language":"en"},{"subitem_text_value":"Laboratory of Data-Driven Biology, Nara Institute of Science and Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/227623/files/IPSJ-BIO23075003.pdf","label":"IPSJ-BIO23075003.pdf"},"date":[{"dateType":"Available","dateValue":"2025-08-30"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO23075003.pdf","filesize":[{"value":"124.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"722980fc-81a1-4837-8c1a-462ee70cf014","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Katsuyuki, Kunida"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuichi, Sakumura"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Katsuyuki, Kunida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuichi, Sakumura","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12055912","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8590","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Cell motility is one of the typical cellular functions observed in various life phenomena such as embryonic development, wound healing and cancer cell invasion and metastasis. Cellular deformation associated with cell motility is regulated by a variety of intracellular molecular activities. Limitations in simultaneous live-cell observation of multiple molecules have prevented researchers from elucidating the mechanism of their coordinated dynamic regulation of cellular functions. As previous study, we proposed Motion-Triggered Average (MTA), a novel method of data analysis that converts multiple individually observed molecular activity in a migrating cell into combined pseudo-simultaneous observations based on the reverse correlation analysis1. Using MTA, we successfully extracted pseudo-simultaneous activity of individually observed multiple regulatory molecules of cellular deformation. To verify that the molecular activity time series extracted by MTA encoded information on cell edge movement, we predicted the cell edge velocity from three molecular activities by mathematical model and regression.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Cell motility is one of the typical cellular functions observed in various life phenomena such as embryonic development, wound healing and cancer cell invasion and metastasis. Cellular deformation associated with cell motility is regulated by a variety of intracellular molecular activities. Limitations in simultaneous live-cell observation of multiple molecules have prevented researchers from elucidating the mechanism of their coordinated dynamic regulation of cellular functions. As previous study, we proposed Motion-Triggered Average (MTA), a novel method of data analysis that converts multiple individually observed molecular activity in a migrating cell into combined pseudo-simultaneous observations based on the reverse correlation analysis1. Using MTA, we successfully extracted pseudo-simultaneous activity of individually observed multiple regulatory molecules of cellular deformation. To verify that the molecular activity time series extracted by MTA encoded information on cell edge movement, we predicted the cell edge velocity from three molecular activities by mathematical model and regression.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-08-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2023-BIO-75"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:26:52.815568+00:00","updated":"2025-01-19T12:07:12.557264+00:00","id":227623}