High-resolution profiling reveals coupled transcriptional and translational regulation of transgenes
Open accessPublished version of a preprint
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.
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Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 1× · see citing works
“The degree of post-transcriptional or post-translational processing influences the correlation between mRNA and protein levels [ 3 ].”
GC content shapes mRNA storage and decay in human cells
Courel, M., Clément, Y., Bossevain, C., Foretek, D., Vidal Cruchez, O., Yi, Z., Bénard, M., Benassy, M.-N., Kress, M., Vindry, C., et al. (2019) · eLife · doi:10.7554/elife.49708 · Cited by 250 · see citing works
Nascent RNA structure modulates the transcriptional dynamics of RNA polymerases
Zamft, B., Bintu, L., Ishibashi, T., & Bustamante, C. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1205063109 · Cited by 117 · see citing works
A code for transcription elongation speed
Cohen, E., Zafrir, Z., & Tuller, T. (2018) · RNA Biology · doi:10.1080/15476286.2017.1384118 · Cited by 29 · see citing works
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- Authors
- Peterman, E. L., Ploessl, D. S., Love, K. S., Sanabria, V., Daniels, R. F., Johnstone, C. P., Godavarti, D. R., Kabaria, S. R., Oakes, C. G., Pai, A. A., & Galloway, K. E.
- Affiliations
- Massachusetts Institute of Technology (US)
- University of Massachusetts Chan Medical School (US)
- Georgia Institute of Technology (US)
- California Institute of Technology (US)
- Corresponding author
- Galloway, Kate E
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2025-06-06
- Volume
- 53
- Issue
- 11
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC12203911
- OpenAlex
- W4411469146
- Cited by
- 12
- References
- 4
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 1
- FWCI
- 3.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (R35-GM143033, R35-GM133762)
- National Science Foundation (2339986, 2237568, 1745302)
- Institute for Collaborative Biotechnologies
- Air Force Research Laboratory (FA9550-22-1-0316)
- Koch Institute (P30-CA014051)
- National Cancer Institute
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Keywords
- synthetic promoters, transcriptional regulation, translational regulation, mRNA-protein correlation, polyadenylation signal, 5' untranslated region, transcription start sites, splice sites, transgene expression, chromosomal integration, gene circuit design
- MeSH terms
- Animals, Gene Expression Regulation, Promoter Regions, Genetic, RNA, Messenger, Transcription, Genetic, Protein Biosynthesis, In Situ Hybridization, Fluorescence, Transgenes, 5' Untranslated Regions, Gene Expression Profiling, Polyadenylation, Single-Cell Analysis
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