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Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation
Dynamical control of cellular microenvironments is highly desirable to study complex processes such as stem cell differentiation and immune signaling. We present an ultra-multiplexed microfluidic system for high-throughput single-cell analysis in precisely defined dynamic signaling environments. Our...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447378/ https://www.ncbi.nlm.nih.gov/pubmed/30949582 http://dx.doi.org/10.1126/sciadv.aav7959 |
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author | Zhang, Ce Tu, Hsiung-Lin Jia, Gengjie Mukhtar, Tanzila Taylor, Verdon Rzhetsky, Andrey Tay, Savaş |
author_facet | Zhang, Ce Tu, Hsiung-Lin Jia, Gengjie Mukhtar, Tanzila Taylor, Verdon Rzhetsky, Andrey Tay, Savaş |
author_sort | Zhang, Ce |
collection | PubMed |
description | Dynamical control of cellular microenvironments is highly desirable to study complex processes such as stem cell differentiation and immune signaling. We present an ultra-multiplexed microfluidic system for high-throughput single-cell analysis in precisely defined dynamic signaling environments. Our system delivers combinatorial and time-varying signals to 1500 independently programmable culture chambers in week-long live-cell experiments by performing nearly 10(6) pipetting steps, where single cells, two-dimensional (2D) populations, or 3D neurospheres are chemically stimulated and tracked. Using our system and statistical analysis, we investigated the signaling landscape of neural stem cell differentiation and discovered “cellular logic rules” that revealed the critical role of signal timing and sequence in cell fate decisions. We find synergistic and antagonistic signal interactions and show that differentiation pathways are highly redundant. Our system allows dissection of hidden aspects of cellular dynamics and enables accelerated biological discovery. |
format | Online Article Text |
id | pubmed-6447378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64473782019-04-04 Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation Zhang, Ce Tu, Hsiung-Lin Jia, Gengjie Mukhtar, Tanzila Taylor, Verdon Rzhetsky, Andrey Tay, Savaş Sci Adv Research Articles Dynamical control of cellular microenvironments is highly desirable to study complex processes such as stem cell differentiation and immune signaling. We present an ultra-multiplexed microfluidic system for high-throughput single-cell analysis in precisely defined dynamic signaling environments. Our system delivers combinatorial and time-varying signals to 1500 independently programmable culture chambers in week-long live-cell experiments by performing nearly 10(6) pipetting steps, where single cells, two-dimensional (2D) populations, or 3D neurospheres are chemically stimulated and tracked. Using our system and statistical analysis, we investigated the signaling landscape of neural stem cell differentiation and discovered “cellular logic rules” that revealed the critical role of signal timing and sequence in cell fate decisions. We find synergistic and antagonistic signal interactions and show that differentiation pathways are highly redundant. Our system allows dissection of hidden aspects of cellular dynamics and enables accelerated biological discovery. American Association for the Advancement of Science 2019-04-03 /pmc/articles/PMC6447378/ /pubmed/30949582 http://dx.doi.org/10.1126/sciadv.aav7959 Text en Copyright © 2019 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 Zhang, Ce Tu, Hsiung-Lin Jia, Gengjie Mukhtar, Tanzila Taylor, Verdon Rzhetsky, Andrey Tay, Savaş Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation |
title | Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation |
title_full | Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation |
title_fullStr | Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation |
title_full_unstemmed | Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation |
title_short | Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation |
title_sort | ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447378/ https://www.ncbi.nlm.nih.gov/pubmed/30949582 http://dx.doi.org/10.1126/sciadv.aav7959 |
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