High-resolution profiling reveals coupled transcriptional and translational regulation of transgenes

Concentrations of RNAs and proteins provide important determinants of cell fate. Robust gene circuit design requires an understanding of how the combined actions of individual genetic components influence both messenger RNA (mRNA) and protein levels. Here, we simultaneously measure mRNA and protein levels in single cells using hybridization chain reaction Flow-FISH (HCR Flow-FISH) for a set of commonly used synthetic promoters. We find that promoters generate differences in both the mRNA abundance and the effective translation rate of these transcripts. Stronger promoters not only transcribe more RNA but also show higher effective translation rates. While the strength of the promoter is largely preserved upon genome integration with identical elements, the choice of polyadenylation signal and coding sequence can generate large differences in the profiles of the mRNAs and proteins. We used long-read direct RNA sequencing to define the transcription start and splice sites of common synthetic promoters and independently vary the defined promoter and 5' UTR sequences in HCR Flow-FISH. Together, our high-resolution profiling of transgenic mRNAs and proteins offers insight into the impact of common synthetic genetic components on transcriptional and translational mechanisms. By developing a novel framework for quantifying expression profiles of transgenes, we have established a system for building more robust transgenic systems.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-05-31
DOI
https://doi.org/10.1093/nar/gkaf528
Citations
9
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
7.25

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article

High-resolution profiling reveals coupled transcriptional and translational regulation of transgenes

Valeria C. Sanabria, Athma A. Pai, Deon S. Ploessl, Christopher P. Johnstone et al.
9 citations
Nucleic Acids Research
CRISPR and Genetic Engineering
7.25
article

High-resolution profiling reveals coupled transcriptional and translational regulation of transgenes

Valeria C. Sanabria, Athma A. Pai, Deon S. Ploessl, Christopher P. Johnstone, Emma L. Peterman, Conrad Oakes, Rachel F. Daniels, Kate E. Galloway, Kasey S. Love, Sneha R Kabaria, Diya R. Godavarti
article en
9 citations

Abstract

Concentrations of RNAs and proteins provide important determinants of cell fate. Robust gene circuit design requires an understanding of how the combined actions of individual genetic components influence both messenger RNA (mRNA) and protein levels. Here, we simultaneously measure mRNA and protein levels in single cells using hybridization chain reaction Flow-FISH (HCR Flow-FISH) for a set of commonly used synthetic promoters. We find that promoters generate differences in both the mRNA abundance and the effective translation rate of these transcripts. Stronger promoters not only transcribe more RNA but also show higher effective translation rates. While the strength of the promoter is largely preserved upon genome integration with identical elements, the choice of polyadenylation signal and coding sequence can generate large differences in the profiles of the mRNAs and proteins. We used long-read direct RNA sequencing to define the transcription start and splice sites of common synthetic promoters and independently vary the defined promoter and 5' UTR sequences in HCR Flow-FISH. Together, our high-resolution profiling of transgenic mRNAs and proteins offers insight into the impact of common synthetic genetic components on transcriptional and translational mechanisms. By developing a novel framework for quantifying expression profiles of transgenes, we have established a system for building more robust transgenic systems.

Nucleic Acids ResearchVol. 53(11)
California Institute of Technology (US), Georgia Institute of Technology (US), University of Massachusetts Chan Medical School (US), Massachusetts Institute of Technology (US)
National Science Foundation, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, National Institutes of Health, Multidisciplinary University Research Initiative, National Cancer Institute, National Institute of General Medical Sciences, Air Force Research Laboratory, Institute for Collaborative Biotechnologies
Life below water
Openalex Percentile: Top 3%
CRISPR and Genetic Engineering
7.25
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