Cargando…

High-throughput intracellular biopsy of microRNAs for dissecting the temporal dynamics of cellular heterogeneity

The capability to analyze small RNAs responsible for post-transcriptional regulation of genes expression is essential for characterizing cellular phenotypes. Here, we describe an intracellular biopsy technique (inCell-Biopsy) for fast, multiplexed, and highly sensitive profiling of microRNAs (miRNAs...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Zixun, Qi, Lin, Yang, Yang, Lu, Mingxing, Xie, Kai, Zhao, Xi, Cheung, Elvis Hung Chi, Wang, Yuan, Jiang, Xuezhen, Zhang, Wenjun, Huang, Linfeng, Wang, Xin, Shi, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286670/
https://www.ncbi.nlm.nih.gov/pubmed/32577522
http://dx.doi.org/10.1126/sciadv.aba4971
_version_ 1783544915127435264
author Wang, Zixun
Qi, Lin
Yang, Yang
Lu, Mingxing
Xie, Kai
Zhao, Xi
Cheung, Elvis Hung Chi
Wang, Yuan
Jiang, Xuezhen
Zhang, Wenjun
Huang, Linfeng
Wang, Xin
Shi, Peng
author_facet Wang, Zixun
Qi, Lin
Yang, Yang
Lu, Mingxing
Xie, Kai
Zhao, Xi
Cheung, Elvis Hung Chi
Wang, Yuan
Jiang, Xuezhen
Zhang, Wenjun
Huang, Linfeng
Wang, Xin
Shi, Peng
author_sort Wang, Zixun
collection PubMed
description The capability to analyze small RNAs responsible for post-transcriptional regulation of genes expression is essential for characterizing cellular phenotypes. Here, we describe an intracellular biopsy technique (inCell-Biopsy) for fast, multiplexed, and highly sensitive profiling of microRNAs (miRNAs). The technique uses an array of diamond nanoneedles that are functionalized with size-dependent RNA binding proteins, working as “fishing rods” to directly pull miRNAs out of cytoplasm while keeping the cells alive, thus enabling quasi-single-cell miRNA analysis. Each nanoneedle works as a reaction chamber for parallel in situ amplification, visualization, and quantification of miRNAs as low as femtomolar, which is sufficient to detect miRNAs of a single-copy intracellular abundance with specificity to single-nucleotide variation. Using inCell-Biopsy, we analyze the temporal miRNA transcriptome over the differentiation of embryonic stem cells (ESCs). The combinatorial miRNA expression patterns derived by inCell-Biopsy identify emerging cell subpopulations differentiated from ESCs and reveal the dynamic evolution of cellular heterogeneity.
format Online
Article
Text
id pubmed-7286670
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher American Association for the Advancement of Science
record_format MEDLINE/PubMed
spelling pubmed-72866702020-06-22 High-throughput intracellular biopsy of microRNAs for dissecting the temporal dynamics of cellular heterogeneity Wang, Zixun Qi, Lin Yang, Yang Lu, Mingxing Xie, Kai Zhao, Xi Cheung, Elvis Hung Chi Wang, Yuan Jiang, Xuezhen Zhang, Wenjun Huang, Linfeng Wang, Xin Shi, Peng Sci Adv Research Articles The capability to analyze small RNAs responsible for post-transcriptional regulation of genes expression is essential for characterizing cellular phenotypes. Here, we describe an intracellular biopsy technique (inCell-Biopsy) for fast, multiplexed, and highly sensitive profiling of microRNAs (miRNAs). The technique uses an array of diamond nanoneedles that are functionalized with size-dependent RNA binding proteins, working as “fishing rods” to directly pull miRNAs out of cytoplasm while keeping the cells alive, thus enabling quasi-single-cell miRNA analysis. Each nanoneedle works as a reaction chamber for parallel in situ amplification, visualization, and quantification of miRNAs as low as femtomolar, which is sufficient to detect miRNAs of a single-copy intracellular abundance with specificity to single-nucleotide variation. Using inCell-Biopsy, we analyze the temporal miRNA transcriptome over the differentiation of embryonic stem cells (ESCs). The combinatorial miRNA expression patterns derived by inCell-Biopsy identify emerging cell subpopulations differentiated from ESCs and reveal the dynamic evolution of cellular heterogeneity. American Association for the Advancement of Science 2020-06-10 /pmc/articles/PMC7286670/ /pubmed/32577522 http://dx.doi.org/10.1126/sciadv.aba4971 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Wang, Zixun
Qi, Lin
Yang, Yang
Lu, Mingxing
Xie, Kai
Zhao, Xi
Cheung, Elvis Hung Chi
Wang, Yuan
Jiang, Xuezhen
Zhang, Wenjun
Huang, Linfeng
Wang, Xin
Shi, Peng
High-throughput intracellular biopsy of microRNAs for dissecting the temporal dynamics of cellular heterogeneity
title High-throughput intracellular biopsy of microRNAs for dissecting the temporal dynamics of cellular heterogeneity
title_full High-throughput intracellular biopsy of microRNAs for dissecting the temporal dynamics of cellular heterogeneity
title_fullStr High-throughput intracellular biopsy of microRNAs for dissecting the temporal dynamics of cellular heterogeneity
title_full_unstemmed High-throughput intracellular biopsy of microRNAs for dissecting the temporal dynamics of cellular heterogeneity
title_short High-throughput intracellular biopsy of microRNAs for dissecting the temporal dynamics of cellular heterogeneity
title_sort high-throughput intracellular biopsy of micrornas for dissecting the temporal dynamics of cellular heterogeneity
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286670/
https://www.ncbi.nlm.nih.gov/pubmed/32577522
http://dx.doi.org/10.1126/sciadv.aba4971
work_keys_str_mv AT wangzixun highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT qilin highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT yangyang highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT lumingxing highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT xiekai highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT zhaoxi highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT cheungelvishungchi highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT wangyuan highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT jiangxuezhen highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT zhangwenjun highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT huanglinfeng highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT wangxin highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity
AT shipeng highthroughputintracellularbiopsyofmicrornasfordissectingthetemporaldynamicsofcellularheterogeneity