Evidence map›Paper›PMID 37080164›Full record

ArticleCell systems2023

Transcriptional kinetic synergy: A complex landscape revealed by integrating modeling and synthetic biology.

Rosa Martinez-Corral, Minhee Park, Kelly M Biette, Dhana Friedrich, Clarissa Scholes, Ahmad S Khalil, Jeremy Gunawardena, Angela H DePace

Open access · greenAbstract read
In one paragraph

Article in Cell systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

24 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  5. Emergence of activation or repression in transcriptional control under a fixed molecular context.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  6. Science (New York, N.Y.) · 2025
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  12. bioRxiv : the preprint server for biology · 2024
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  17. The Hill function is the universal Hopfield barrier for sharpness of input-output responses.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Rosa Martinez-CorralDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Minhee ParkBiological Design Center, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Kelly M BietteDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Dhana FriedrichDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Clarissa ScholesDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Ahmad S KhalilBiological Design Center, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA.
Jeremy GunawardenaDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Angela H DePaceDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: angela_depace@hms.harvard.edu.
Harvard University · USBoston University · US

Funding

Synthetic toolkit for precision gene expression control and signal processing in mammalian cellsR01EB029483 · NIBIB · HARVARD UNIVERSITY · PI Ahmad Samir Khalil · 2020 to 2026
$5.0M
Information Integration and Energy Expenditure in Eukaryotic Gene RegulationR01GM122928 · NIGMS · HARVARD MEDICAL SCHOOL · PI DEPACE, ANGELA H, GUNAWARDENA, JEREMY · 2017 to 2024
$3.7M
Combatting antibiotic resistance with synthetic biology technologiesDP2AI131083 · NIAID · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KHALIL, AHMAD SAMIR · 2016 to 2016
$2.5M
NIAID NIH HHS DP2 AI131083NIBIB NIH HHS R01 EB029483NIGMS NIH HHS R01 GM122928
6 · The paper itself

Abstract

Transcription factors (TFs) control gene expression, often acting synergistically. Classical thermodynamic models offer a biophysical explanation for synergy based on binding cooperativity and regulated recruitment of RNA polymerase. Because transcription requires polymerase to transition through multiple states, recent work suggests that "kinetic synergy" can arise through TFs acting on distinct steps of the transcription cycle. These types of synergy are not mutually exclusive and are difficult to disentangle conceptually and experimentally. Here, we model and build a synthetic circuit in which TFs bind to a single shared site on DNA, such that TFs cannot synergize by simultaneous binding. We model mRNA production as a function of both TF binding and regulation of the transcription cycle, revealing a complex landscape dependent on TF concentration, DNA binding affinity, and regulatory activity. We use synthetic TFs to confirm that the transcription cycle must be integrated with recruitment for a quantitative understanding of gene regulation.

Indexed as

Gene Expression RegulationSynthetic BiologyDNAProtein BindingTranscription FactorsDNATranscription Factorsgene regulationlinear frameworkmathematical modelingsynergysynthetic biologytranscription cycletranscription factor

Identifiers

PMID37080164
PMCPMC10472254
OpenAlexW4366372506

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.