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Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis
The study of single cells has evolved over the past several years to include expression and genomic analysis of an increasing number of single cells. Several studies have demonstrated wide spread variation and heterogeneity within cell populations of similar phenotype. While the characterization of...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030342/ https://www.ncbi.nlm.nih.gov/pubmed/27709111 http://dx.doi.org/10.3389/fbioe.2016.00070 |
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author | Ramalingam, Naveen Fowler, Brian Szpankowski, Lukasz Leyrat, Anne A. Hukari, Kyle Maung, Myo Thu Yorza, Wiganda Norris, Michael Cesar, Chris Shuga, Joe Gonzales, Michael L. Sanada, Chad D. Wang, Xiaohui Yeung, Rudy Hwang, Win Axsom, Justin Devaraju, Naga Sai Gopi Krishna Angeles, Ninez Delos Greene, Cassandra Zhou, Ming-Fang Ong, Eng-Seng Poh, Chang-Chee Lam, Marcos Choi, Henry Htoo, Zaw Lee, Leo Chin, Chee-Sing Shen, Zhong-Wei Lu, Chong T. Holcomb, Ilona Ooi, Aik Stolarczyk, Craig Shuga, Tony Livak, Kenneth J. Larsen, Cate Unger, Marc West, Jay A. A. |
author_facet | Ramalingam, Naveen Fowler, Brian Szpankowski, Lukasz Leyrat, Anne A. Hukari, Kyle Maung, Myo Thu Yorza, Wiganda Norris, Michael Cesar, Chris Shuga, Joe Gonzales, Michael L. Sanada, Chad D. Wang, Xiaohui Yeung, Rudy Hwang, Win Axsom, Justin Devaraju, Naga Sai Gopi Krishna Angeles, Ninez Delos Greene, Cassandra Zhou, Ming-Fang Ong, Eng-Seng Poh, Chang-Chee Lam, Marcos Choi, Henry Htoo, Zaw Lee, Leo Chin, Chee-Sing Shen, Zhong-Wei Lu, Chong T. Holcomb, Ilona Ooi, Aik Stolarczyk, Craig Shuga, Tony Livak, Kenneth J. Larsen, Cate Unger, Marc West, Jay A. A. |
author_sort | Ramalingam, Naveen |
collection | PubMed |
description | The study of single cells has evolved over the past several years to include expression and genomic analysis of an increasing number of single cells. Several studies have demonstrated wide spread variation and heterogeneity within cell populations of similar phenotype. While the characterization of these populations will likely set the foundation for our understanding of genomic- and expression-based diversity, it will not be able to link the functional differences of a single cell to its underlying genomic structure and activity. Currently, it is difficult to perturb single cells in a controlled environment, monitor and measure the response due to perturbation, and link these response measurements to downstream genomic and transcriptomic analysis. In order to address this challenge, we developed a platform to integrate and miniaturize many of the experimental steps required to study single-cell function. The heart of this platform is an elastomer-based integrated fluidic circuit that uses fluidic logic to select and sequester specific single cells based on a phenotypic trait for downstream experimentation. Experiments with sequestered cells that have been performed include on-chip culture, exposure to various stimulants, and post-exposure image-based response analysis, followed by preparation of the mRNA transcriptome for massively parallel sequencing analysis. The flexible system embodies experimental design and execution that enable routine functional studies of single cells. |
format | Online Article Text |
id | pubmed-5030342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50303422016-10-05 Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis Ramalingam, Naveen Fowler, Brian Szpankowski, Lukasz Leyrat, Anne A. Hukari, Kyle Maung, Myo Thu Yorza, Wiganda Norris, Michael Cesar, Chris Shuga, Joe Gonzales, Michael L. Sanada, Chad D. Wang, Xiaohui Yeung, Rudy Hwang, Win Axsom, Justin Devaraju, Naga Sai Gopi Krishna Angeles, Ninez Delos Greene, Cassandra Zhou, Ming-Fang Ong, Eng-Seng Poh, Chang-Chee Lam, Marcos Choi, Henry Htoo, Zaw Lee, Leo Chin, Chee-Sing Shen, Zhong-Wei Lu, Chong T. Holcomb, Ilona Ooi, Aik Stolarczyk, Craig Shuga, Tony Livak, Kenneth J. Larsen, Cate Unger, Marc West, Jay A. A. Front Bioeng Biotechnol Bioengineering and Biotechnology The study of single cells has evolved over the past several years to include expression and genomic analysis of an increasing number of single cells. Several studies have demonstrated wide spread variation and heterogeneity within cell populations of similar phenotype. While the characterization of these populations will likely set the foundation for our understanding of genomic- and expression-based diversity, it will not be able to link the functional differences of a single cell to its underlying genomic structure and activity. Currently, it is difficult to perturb single cells in a controlled environment, monitor and measure the response due to perturbation, and link these response measurements to downstream genomic and transcriptomic analysis. In order to address this challenge, we developed a platform to integrate and miniaturize many of the experimental steps required to study single-cell function. The heart of this platform is an elastomer-based integrated fluidic circuit that uses fluidic logic to select and sequester specific single cells based on a phenotypic trait for downstream experimentation. Experiments with sequestered cells that have been performed include on-chip culture, exposure to various stimulants, and post-exposure image-based response analysis, followed by preparation of the mRNA transcriptome for massively parallel sequencing analysis. The flexible system embodies experimental design and execution that enable routine functional studies of single cells. Frontiers Media S.A. 2016-09-21 /pmc/articles/PMC5030342/ /pubmed/27709111 http://dx.doi.org/10.3389/fbioe.2016.00070 Text en Copyright © 2016 Ramalingam, Fowler, Szpankowski, Leyrat, Hukari, Maung, Yorza, Norris, Cesar, Shuga, Gonzales, Sanada, Wang, Yeung, Hwang, Axsom, Devaraju, Angeles, Greene, Zhou, Ong, Poh, Lam, Choi, Htoo, Lee, Chin, Shen, Lu, Holcomb, Ooi, Stolarczyk, Shuga, Livak, Larsen, Unger and West. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Ramalingam, Naveen Fowler, Brian Szpankowski, Lukasz Leyrat, Anne A. Hukari, Kyle Maung, Myo Thu Yorza, Wiganda Norris, Michael Cesar, Chris Shuga, Joe Gonzales, Michael L. Sanada, Chad D. Wang, Xiaohui Yeung, Rudy Hwang, Win Axsom, Justin Devaraju, Naga Sai Gopi Krishna Angeles, Ninez Delos Greene, Cassandra Zhou, Ming-Fang Ong, Eng-Seng Poh, Chang-Chee Lam, Marcos Choi, Henry Htoo, Zaw Lee, Leo Chin, Chee-Sing Shen, Zhong-Wei Lu, Chong T. Holcomb, Ilona Ooi, Aik Stolarczyk, Craig Shuga, Tony Livak, Kenneth J. Larsen, Cate Unger, Marc West, Jay A. A. Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis |
title | Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis |
title_full | Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis |
title_fullStr | Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis |
title_full_unstemmed | Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis |
title_short | Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis |
title_sort | fluidic logic used in a systems approach to enable integrated single-cell functional analysis |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030342/ https://www.ncbi.nlm.nih.gov/pubmed/27709111 http://dx.doi.org/10.3389/fbioe.2016.00070 |
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