Evidence map›Paper›PMID 40530694›Full record

ArticleNucleic acids research2025

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

Emma L Peterman, Deon S Ploessl, Kasey S Love, Valeria Sanabria, Rachel F Daniels, Christopher P Johnstone, Diya R Godavarti, Sneha R Kabaria, Conrad G Oakes, Athma A Pai and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Programmable nanobody circuits for cell selection.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Emma L PetermanDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.ORCID 0000-0001-7402-576X
Deon S PloesslDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.ORCID 0000-0002-5033-2068
Kasey S LoveDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.ORCID 0000-0001-7544-0340
Valeria SanabriaRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.ORCID 0000-0002-3138-2393
Rachel F DanielsRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.ORCID 0000-0002-9712-4581
Christopher P JohnstoneDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.ORCID 0000-0002-7255-0218
Diya R GodavartiSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0009-0001-7128-8342
Sneha R KabariaDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.ORCID 0000-0003-1587-6593
Conrad G OakesDepartment of Bioengineering, California Institute of Technology, Pasadena, CA 91125, United States.ORCID 0000-0002-8936-055X
Athma A PaiRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.ORCID 0000-0002-7995-9948
Kate E GallowayDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.ORCID 0000-0001-7416-3193

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Jacqueline A. Lees · 1985 to 2026
$93.9M
Tracking transcriptome diversity in real-timeR35GM133762 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Athma A Pai · 2019 to 2026
$3.3M
Multiscale tools and approaches for understanding and engineering cell-fate transitionsR35GM143033 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GALLOWAY, KATE ELIZABETH · 2021 to 2025
$1.9M
Air Force Research Laboratory FA9550-22-1-0316Institute for Collaborative BiotechnologiesKoch Institute P30-CA014051National Science Foundation 1745302National Science Foundation 2237568National Science Foundation 2339986NCI NIH HHS P30 CA014051NIGMS NIH HHS R35 GM133762NIGMS NIH HHS R35 GM143033NIH HHS R35-GM133762NIH HHS R35-GM143033
6 · The paper itself

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.

Indexed as

Gene Expression ProfilingGene Expression RegulationProtein BiosynthesisTranscription, GeneticTransgenes5' Untranslated RegionsAnimalsIn Situ Hybridization, FluorescencePolyadenylationPromoter Regions, GeneticRNA, MessengerSingle-Cell Analysis5' Untranslated RegionsRNA, Messenger

Identifiers

PMID40530694
PMCPMC12203911

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.