Evidence map›Paper›PMID 39071415›Full record

ArticlebioRxiv : the preprint server for biology2024

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 readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Megan A McSweeneySchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0001-5012-3218
Alexandra T PattersonSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0001-6616-8859
Kathryn LoefflerSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.
Regina Cuellar Lelo de LarreaSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.
Monica P McNerneySchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0001-7485-9211
Ravi S KaneSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0003-3084-4098
Mark P StyczynskiSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.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 (

Identifiers

PMID39071415
PMCPMC11275916

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.