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Unraveling protein dynamics to understand the brain – the next molecular frontier
The technological revolution to measure global gene expression at the single-cell level is currently transforming our knowledge of the brain and neurological diseases, leading from a basic understanding of genetic regulators and risk factors to one of more complex gene interactions and biological pa...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206758/ https://www.ncbi.nlm.nih.gov/pubmed/35717317 http://dx.doi.org/10.1186/s13024-022-00546-8 |
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author | Brewer, Kyle D. Shi, Sophia M. Wyss-Coray, Tony |
author_facet | Brewer, Kyle D. Shi, Sophia M. Wyss-Coray, Tony |
author_sort | Brewer, Kyle D. |
collection | PubMed |
description | The technological revolution to measure global gene expression at the single-cell level is currently transforming our knowledge of the brain and neurological diseases, leading from a basic understanding of genetic regulators and risk factors to one of more complex gene interactions and biological pathways. Looking ahead, our next challenge will be the reliable measurement and understanding of proteins. We describe in this review how to apply new, powerful methods of protein labeling, tracking, and detection. Recent developments of these methods now enable researchers to uncover protein mechanisms in vivo that may previously have only been hypothesized. These methods are also useful for discovering new biology because how proteins regulate systemic interactions is not well understood in most cases, such as how they travel through the bloodstream to distal targets or cross the blood–brain barrier. Genetic sequencing of DNA and RNA have enabled many great discoveries in the past 20 years, and now, the protein methods described here are creating a more complete picture of how cells to whole organisms function. It is likely that these developments will generate another transformation in biomedical research and our understanding of the brain and will ultimately allow for patient-specific medicine on a protein level. |
format | Online Article Text |
id | pubmed-9206758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92067582022-06-20 Unraveling protein dynamics to understand the brain – the next molecular frontier Brewer, Kyle D. Shi, Sophia M. Wyss-Coray, Tony Mol Neurodegener Review The technological revolution to measure global gene expression at the single-cell level is currently transforming our knowledge of the brain and neurological diseases, leading from a basic understanding of genetic regulators and risk factors to one of more complex gene interactions and biological pathways. Looking ahead, our next challenge will be the reliable measurement and understanding of proteins. We describe in this review how to apply new, powerful methods of protein labeling, tracking, and detection. Recent developments of these methods now enable researchers to uncover protein mechanisms in vivo that may previously have only been hypothesized. These methods are also useful for discovering new biology because how proteins regulate systemic interactions is not well understood in most cases, such as how they travel through the bloodstream to distal targets or cross the blood–brain barrier. Genetic sequencing of DNA and RNA have enabled many great discoveries in the past 20 years, and now, the protein methods described here are creating a more complete picture of how cells to whole organisms function. It is likely that these developments will generate another transformation in biomedical research and our understanding of the brain and will ultimately allow for patient-specific medicine on a protein level. BioMed Central 2022-06-18 /pmc/articles/PMC9206758/ /pubmed/35717317 http://dx.doi.org/10.1186/s13024-022-00546-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Brewer, Kyle D. Shi, Sophia M. Wyss-Coray, Tony Unraveling protein dynamics to understand the brain – the next molecular frontier |
title | Unraveling protein dynamics to understand the brain – the next molecular frontier |
title_full | Unraveling protein dynamics to understand the brain – the next molecular frontier |
title_fullStr | Unraveling protein dynamics to understand the brain – the next molecular frontier |
title_full_unstemmed | Unraveling protein dynamics to understand the brain – the next molecular frontier |
title_short | Unraveling protein dynamics to understand the brain – the next molecular frontier |
title_sort | unraveling protein dynamics to understand the brain – the next molecular frontier |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206758/ https://www.ncbi.nlm.nih.gov/pubmed/35717317 http://dx.doi.org/10.1186/s13024-022-00546-8 |
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