Cargando…
Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis
Extracellular vesicles (EVs) have been regarded as one of the most potential diagnostic biomarkers for different cancers, due to their unique physiological and pathological functions. However, it is still challenging to precisely analyze the contents and sources of EVs, due to their heterogeneity. H...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856491/ https://www.ncbi.nlm.nih.gov/pubmed/36671964 http://dx.doi.org/10.3390/bios13010129 |
_version_ | 1784873643678892032 |
---|---|
author | Qiu, Lei Liu, Xingzhu Zhu, Libo Luo, Liqiang Sun, Na Pei, Renjun |
author_facet | Qiu, Lei Liu, Xingzhu Zhu, Libo Luo, Liqiang Sun, Na Pei, Renjun |
author_sort | Qiu, Lei |
collection | PubMed |
description | Extracellular vesicles (EVs) have been regarded as one of the most potential diagnostic biomarkers for different cancers, due to their unique physiological and pathological functions. However, it is still challenging to precisely analyze the contents and sources of EVs, due to their heterogeneity. Herein, we summarize the advances in technologies for a single EV analysis, which may provide new strategies to study the heterogeneity of EVs, as well as their cargo, more specifically. Furthermore, the applications of a single EV analysis on cancer early diagnosis are also discussed. |
format | Online Article Text |
id | pubmed-9856491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98564912023-01-21 Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis Qiu, Lei Liu, Xingzhu Zhu, Libo Luo, Liqiang Sun, Na Pei, Renjun Biosensors (Basel) Review Extracellular vesicles (EVs) have been regarded as one of the most potential diagnostic biomarkers for different cancers, due to their unique physiological and pathological functions. However, it is still challenging to precisely analyze the contents and sources of EVs, due to their heterogeneity. Herein, we summarize the advances in technologies for a single EV analysis, which may provide new strategies to study the heterogeneity of EVs, as well as their cargo, more specifically. Furthermore, the applications of a single EV analysis on cancer early diagnosis are also discussed. MDPI 2023-01-12 /pmc/articles/PMC9856491/ /pubmed/36671964 http://dx.doi.org/10.3390/bios13010129 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Qiu, Lei Liu, Xingzhu Zhu, Libo Luo, Liqiang Sun, Na Pei, Renjun Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis |
title | Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis |
title_full | Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis |
title_fullStr | Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis |
title_full_unstemmed | Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis |
title_short | Current Advances in Technologies for Single Extracellular Vesicle Analysis and Its Clinical Applications in Cancer Diagnosis |
title_sort | current advances in technologies for single extracellular vesicle analysis and its clinical applications in cancer diagnosis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856491/ https://www.ncbi.nlm.nih.gov/pubmed/36671964 http://dx.doi.org/10.3390/bios13010129 |
work_keys_str_mv | AT qiulei currentadvancesintechnologiesforsingleextracellularvesicleanalysisanditsclinicalapplicationsincancerdiagnosis AT liuxingzhu currentadvancesintechnologiesforsingleextracellularvesicleanalysisanditsclinicalapplicationsincancerdiagnosis AT zhulibo currentadvancesintechnologiesforsingleextracellularvesicleanalysisanditsclinicalapplicationsincancerdiagnosis AT luoliqiang currentadvancesintechnologiesforsingleextracellularvesicleanalysisanditsclinicalapplicationsincancerdiagnosis AT sunna currentadvancesintechnologiesforsingleextracellularvesicleanalysisanditsclinicalapplicationsincancerdiagnosis AT peirenjun currentadvancesintechnologiesforsingleextracellularvesicleanalysisanditsclinicalapplicationsincancerdiagnosis |