Proximity Labeling Techniques: A Multi-Omics Toolbox
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shkel, Olha | - |
dc.contributor.author | Kharkivska, Yevheniia | - |
dc.contributor.author | Kim, Yun Kyung | - |
dc.contributor.author | Lee, Jun-Seok | - |
dc.date.accessioned | 2022-02-10T19:41:16Z | - |
dc.date.available | 2022-02-10T19:41:16Z | - |
dc.date.created | 2022-01-20 | - |
dc.date.issued | 2022-01-17 | - |
dc.identifier.issn | 1861-4728 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/135254 | - |
dc.description.abstract | Proximity labeling techniques are emerging high-throughput methods for studying protein-protein, protein-RNA, and protein-DNA interactions with temporal and spatial precision. Proximity labeling methods take advantage of enzymes that can covalently label biomolecules with reactive substrates. These labeled biomolecules can be identified using mass spectrometry or next-generation sequencing. The main advantage of these methods is their ability to capture weak or transient interactions between biomolecules. Proximity labeling is indispensable for studying organelle interactomes. Additionally, it can be used to resolve spatial composition of macromolecular complexes. Many of these methods have only recently been introduced; nonetheless, they have already provided new and deep insights into the biological processes at the cellular, organ, and organism levels. In this paper, we review a broad range of proximity labeling techniques, their development, drawbacks and advantages, and implementations in recent studies. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY-V C H VERLAG GMBH | - |
dc.subject | IN-VIVO | - |
dc.subject | PROTEOMICS APPROACH | - |
dc.subject | BIOTIN LIGASE | - |
dc.subject | CELL-TYPE | - |
dc.subject | REVEALS | - |
dc.subject | BIOTINYLATION | - |
dc.subject | CHROMATIN | - |
dc.subject | PROTEINS | - |
dc.subject | BINDING | - |
dc.subject | ENZYME | - |
dc.title | Proximity Labeling Techniques: A Multi-Omics Toolbox | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Jun-Seok | - |
dc.identifier.doi | 10.1002/asia.202101240 | - |
dc.identifier.scopusid | 2-s2.0-85120858421 | - |
dc.identifier.wosid | 000728547100001 | - |
dc.identifier.bibliographicCitation | CHEMISTRY-AN ASIAN JOURNAL, v.17, no.2 | - |
dc.relation.isPartOf | CHEMISTRY-AN ASIAN JOURNAL | - |
dc.citation.title | CHEMISTRY-AN ASIAN JOURNAL | - |
dc.citation.volume | 17 | - |
dc.citation.number | 2 | - |
dc.type.rims | ART | - |
dc.type.docType | Review | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.subject.keywordPlus | IN-VIVO | - |
dc.subject.keywordPlus | PROTEOMICS APPROACH | - |
dc.subject.keywordPlus | BIOTIN LIGASE | - |
dc.subject.keywordPlus | CELL-TYPE | - |
dc.subject.keywordPlus | REVEALS | - |
dc.subject.keywordPlus | BIOTINYLATION | - |
dc.subject.keywordPlus | CHROMATIN | - |
dc.subject.keywordPlus | PROTEINS | - |
dc.subject.keywordPlus | BINDING | - |
dc.subject.keywordPlus | ENZYME | - |
dc.subject.keywordAuthor | biotin ligase | - |
dc.subject.keywordAuthor | DamID | - |
dc.subject.keywordAuthor | DNA-protein interactions | - |
dc.subject.keywordAuthor | mass spectrometry | - |
dc.subject.keywordAuthor | peroxidase | - |
dc.subject.keywordAuthor | photosensitizer | - |
dc.subject.keywordAuthor | protein- protein interactions | - |
dc.subject.keywordAuthor | proximity labeling | - |
dc.subject.keywordAuthor | PUP-IT | - |
dc.subject.keywordAuthor | RNA-protein interactions | - |
dc.subject.keywordAuthor | TRIBE | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.