Evidence map›Paper›PMID 39982986›Full record

ArticleScience advances2025

A modular cell-free protein biosensor platform using split T7 RNA polymerase.

Megan A McSweeney, Alexandra T Patterson, Kathryn Loeffler, Regina Cuellar Lelo de Larrea, Monica P McNerney, Ravi S Kane, Mark P Styczynski

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Computational redesign of a thermostable T7 RNA polymerase.Protein engineering, design & selection : PEDS · 2026
    Article
  9. Article
  10. Review
  11. Computational redesign of a thermostable T7 RNA polymerase.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Megan A McSweeneySchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0001-5012-3218
Alexandra T PattersonSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0001-6616-8859
Kathryn LoefflerSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Regina Cuellar Lelo de LarreaSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0009-0009-6823-8924
Monica P McNerneySchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0001-7485-9211
Ravi S KaneSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-3084-4098
Mark P StyczynskiSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-1479-6658

Funding

PanCorVac (Center for Pan-Coronavirus Vaccine Development)P01AI165077 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI KAWAOKA, YOSHIHIRO · 2021 to 2023
$11.6M
Synthetic biology-based detection of micronutrients with minimal equipmentR01EB022592 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI STYCZYNSKI, MARK PHILIP-WALTER · 2017 to 2020
$1.4M
Synthetic biological systems for protein detectionR01EB034301 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI Mark Philip-Walter Styczynski · 2023 to 2026
$1.4M
NIAID NIH HHS P01 AI165077NIBIB NIH HHS R01 EB022592NIBIB NIH HHS R01 EB034301
6 · The paper itself

Abstract

Conventional laboratory protein detection techniques are not suitable for point-of-care (POC) use because they require expensive equipment and laborious protocols, and existing POC assays suffer from long development timescales. Here, we describe a modular cell-free biosensing platform for generalizable protein detection that we call TLISA (T7 RNA polymerase-linked immunosensing assay), designed for extreme flexibility and equipment-free use. TLISA uses a split T7 RNA polymerase fused to affinity domains against a protein. The target antigen drives polymerase reassembly, inducing reporter expression. We characterize the platform and then demonstrate its modularity by using 16 affinity domains against four different antigens with minimal protocol optimization. We show that TLISA is suitable for POC use by sensing human biomarkers in serum and saliva with a colorimetric readout within 1 hour and by demonstrating functionality after lyophilization. Altogether, this technology has the potential to enable truly rapid, reconfigurable, modular, and equipment-free detection of diverse classes of proteins.

Indexed as

Biosensing TechniquesDNA-Directed RNA PolymerasesViral ProteinsBiomarkersCell-Free SystemHumansPoint-of-Care SystemsSalivabacteriophage T7 RNA polymeraseBiomarkersDNA-Directed RNA PolymerasesViral Proteins

Identifiers

PMID39982986
PMCPMC11844732

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Registered trials

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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.