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Ratiometric RNA labeling allows dynamic multiplexed analysis of gene circuits in single cells

Xu, Shuhui and Li, Kai and Ma, Liang and Zhang, Jianhan and Yoon, Shinae and Elowitz, Michael B. and Lin, Yihan (2021) Ratiometric RNA labeling allows dynamic multiplexed analysis of gene circuits in single cells. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20210929-151425994

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Abstract

Biological processes are highly dynamic and are regulated by genes that connect with one and another, forming regulatory circuits and networks. Understanding how gene regulatory circuits operate dynamically requires monitoring the expression of multiple genes in the same cell. However, it is limited by the relatively few distinguishable fluorescent proteins. Here, we developed a multiplexed real-time transcriptional imaging method based on two RNA stem-loop binding proteins, and employed it to analyze the temporal dynamics of synthetic gene circuits. By incorporating different ratios of MS2 and PP7 stem-loops, we were able to monitor the real-time nascent transcriptional activities of up to five genes in the same cell using only two fluorescent proteins. Applying this multiplexing capability to synthetic linear or branched gene regulatory cascades revealed that propagation of transcriptional dynamics is enhanced by non-stationary dynamics and is dictated by the slowest regulatory branch in the presence of combinatorial regulation. Mathematical modeling provided further insight into temporal multi-gene interactions and helped to understand potential challenges in regulatory inference using snapshot single-cell data. Ratiometric multiplexing should scale exponentially with additional labelling channels, providing a way to track the dynamics of larger circuits.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.1101/2021.09.23.461487DOIDiscussion Paper
https://github.com/IndigoMad/Multiplexed-transcriptional-reporterRelated ItemCode
ORCID:
AuthorORCID
Elowitz, Michael B.0000-0002-1221-0967
Lin, Yihan0000-0002-2763-5538
Additional Information:The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license. This version posted September 23, 2021. Y.L. acknowledges the supports from National Natural Science Foundation of China (Grant # 31771425) and National Key R&D Program of China (Grant # 2020YFA0906900, 2018YFA0900703). M.B.E. acknowledges the supports from National Science Foundation (Grant # 1547056; Grant # EF-2021552 under subaward UWSC10142). MBE is a Howard Hughes Medical Institute Investigator. We thank the flow cytometry core at the National Center for Protein Sciences at Peking University and the Quantitative Imaging facility at the Center for Quantitative Biology at Peking University for equipment supports. Data and code availability: The data and code used in this paper can be downloaded from the following link: https://github.com/IndigoMad/Multiplexed-transcriptional-reporter. Author Contributions: Y.L. and M.B.E. conceived the concept of the reporter; S.X., K.L. and L.M. performed the research; J.Z. and S.Y. contributed new reagents/analytic tools; S.X. K.L. and Y.L. wrote the Competing Interest Statement: A patent application based on the developed technology was submitted in China. manuscript with inputs from M.B.E.
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China31771425
National Key Research and Development Program of China2020YFA0906900
National Key Research and Development Program of China2018YFA0900703
NSFMCB-1547056
NSFEF-2021552
Paul G. Allen Frontiers GroupUWSC10142
Howard Hughes Medical Institute (HHMI)UNSPECIFIED
Subject Keywords:genetic circuit; gene regulatory network; temporal dynamics; multiplexing; transcriptional reporter; live-cell imaging; synthetic biology; transcriptional bursting
DOI:10.1101/2021.09.23.461487
Record Number:CaltechAUTHORS:20210929-151425994
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210929-151425994
Official Citation:Ratiometric RNA labeling allows dynamic multiplexed analysis of gene circuits in single cells. Shuhui Xu, Kai Li, Liang Ma, Jianhan Zhang, Shinae Yoon, Michael B. Elowitz, Yihan Lin. bioRxiv 2021.09.23.461487; doi: https://doi.org/10.1101/2021.09.23.461487
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:111086
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:29 Sep 2021 16:49
Last Modified:16 Nov 2021 19:43

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