Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Ce, Tu, Hsiung-Lin, Jia, Gengjie, Mukhtar, Tanzila, Taylor, Verdon, Rzhetsky, Andrey, Tay, Savaş
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
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
_version_ 1783408494428291072
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
work_keys_str_mv AT zhangce ultramultiplexedanalysisofsinglecelldynamicsrevealslogicrulesindifferentiation
AT tuhsiunglin ultramultiplexedanalysisofsinglecelldynamicsrevealslogicrulesindifferentiation
AT jiagengjie ultramultiplexedanalysisofsinglecelldynamicsrevealslogicrulesindifferentiation
AT mukhtartanzila ultramultiplexedanalysisofsinglecelldynamicsrevealslogicrulesindifferentiation
AT taylorverdon ultramultiplexedanalysisofsinglecelldynamicsrevealslogicrulesindifferentiation
AT rzhetskyandrey ultramultiplexedanalysisofsinglecelldynamicsrevealslogicrulesindifferentiation
AT taysavas ultramultiplexedanalysisofsinglecelldynamicsrevealslogicrulesindifferentiation