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dc.contributor.authorKim, Sooyeonen
dc.contributor.authorKamarulzaman, Latiefaen
dc.contributor.authorTaniguchi, Yuichien
dc.contributor.alternative金, 水縁ja
dc.contributor.alternative谷口, 雄一ja
dc.date.accessioned2024-02-20T02:35:04Z-
dc.date.available2024-02-20T02:35:04Z-
dc.date.issued2023-10-11-
dc.identifier.urihttp://hdl.handle.net/2433/287048-
dc.description.abstractStudying the central dogma at the single-cell level has gained increasing attention to reveal hidden cell lineages and functions that cannot be studied using traditional bulk analyses. Nonetheless, most single-cell studies exploiting genomic and transcriptomic levels fail to address information on proteins that are central to many important biological processes. Single-cell proteomics enables understanding of the functional status of individual cells and is particularly crucial when the specimen is composed of heterogeneous entities of cells. With the growing importance of this field, significant methodological advancements have emerged recently. These include miniaturized and automated sample preparation, multi-omics analyses, and combined analyses of multiple techniques such as mass spectrometry and microscopy. Moreover, artificial intelligence and single-molecule detection technologies have advanced throughput and improved sensitivity limitations, respectively, over conventional methods. In this review, we summarize cutting-edge methodologies for single-cell proteomics and relevant emerging technologies that have been reported in the last 5 years, and provide an outlook on this research field.en
dc.language.isoeng-
dc.publisherJapan Academyen
dc.publisher.alternative日本学士院ja
dc.rights© 2023 The Author(s).en
dc.rightsPublished under the terms of the CC BY-NC licenseen
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/-
dc.subjectsingle-cell analysisen
dc.subjectsingle-cell omicsen
dc.subjectproteomicsen
dc.subjectsingle-molecule microscopyen
dc.titleRecent methodological advances towards single-cell proteomicsen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleProceedings of the Japan Academy, Series Ben
dc.identifier.volume99-
dc.identifier.issue8-
dc.identifier.spage306-
dc.identifier.epage327-
dc.relation.doi10.2183/pjab.99.021-
dc.textversionpublisher-
dcterms.accessRightsopen access-
datacite.awardNumber20H00460-
datacite.awardNumber19H05545-
datacite.awardNumber20K20458-
datacite.awardNumber19K15718-
datacite.awardNumber22K14800-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H00460/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K20458/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K20458/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K15718/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K14800/-
dc.identifier.pissn0386-2208-
dc.identifier.eissn1349-2896-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitleゲノム高次分子構造の生物物理学ja
jpcoar.awardTitle1分子スケール蛍光分析化学の創出ja
jpcoar.awardTitle1分子スケール蛍光分析化学の創出ja
jpcoar.awardTitle単一分子蛍光ゲル電気泳動法による超高感度・網羅的なタンパク質分析ja
jpcoar.awardTitle2D-Raman DIGE法による多次元一細胞プロテオミクスja
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