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DCフィールド | 値 | 言語 |
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dc.contributor.author | Kim, Sooyeon | en |
dc.contributor.author | Kamarulzaman, Latiefa | en |
dc.contributor.author | Taniguchi, Yuichi | en |
dc.contributor.alternative | 金, 水縁 | ja |
dc.contributor.alternative | 谷口, 雄一 | ja |
dc.date.accessioned | 2024-02-20T02:35:04Z | - |
dc.date.available | 2024-02-20T02:35:04Z | - |
dc.date.issued | 2023-10-11 | - |
dc.identifier.uri | http://hdl.handle.net/2433/287048 | - |
dc.description.abstract | Studying 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.iso | eng | - |
dc.publisher | Japan Academy | en |
dc.publisher.alternative | 日本学士院 | ja |
dc.rights | © 2023 The Author(s). | en |
dc.rights | Published under the terms of the CC BY-NC license | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | - |
dc.subject | single-cell analysis | en |
dc.subject | single-cell omics | en |
dc.subject | proteomics | en |
dc.subject | single-molecule microscopy | en |
dc.title | Recent methodological advances towards single-cell proteomics | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Proceedings of the Japan Academy, Series B | en |
dc.identifier.volume | 99 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 306 | - |
dc.identifier.epage | 327 | - |
dc.relation.doi | 10.2183/pjab.99.021 | - |
dc.textversion | publisher | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 20H00460 | - |
datacite.awardNumber | 19H05545 | - |
datacite.awardNumber | 20K20458 | - |
datacite.awardNumber | 19K15718 | - |
datacite.awardNumber | 22K14800 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H00460/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K20458/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K20458/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K15718/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K14800/ | - |
dc.identifier.pissn | 0386-2208 | - |
dc.identifier.eissn | 1349-2896 | - |
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.awardTitle | 1分子スケール蛍光分析化学の創出 | ja |
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出現コレクション: | 学術雑誌掲載論文等 |
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