Evidence map›Paper›PMID 40821985›Full record

ArticlePeerJ2025

The concentration of single-stranded DNA-binding proteins is a critical factor in recombinase polymerase amplification (RPA), as revealed by insights from an open-source system.

Francisco Cordoba-Andrade, Antolin Peralta-Castro, Paola L García-Medel, Eduardo Castro-Torres, Rogelio Gonzalez-Gonzalez, Atzimba Y Castro-Lara, Josue D Mora Garduño, Claudia D Raygoza, Noe Baruch-Torres, Alejandro Peñafiel-Ayala and 8 more

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Point of Care Testing and Recombinase Polymerase Amplification.Journal of clinical laboratory analysis · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Francisco Cordoba-AndradeUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Antolin Peralta-CastroUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Paola L García-MedelUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Eduardo Castro-TorresUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Rogelio Gonzalez-GonzalezUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Atzimba Y Castro-LaraUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Josue D Mora GarduñoUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Claudia D RaygozaUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Noe Baruch-TorresUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Alejandro Peñafiel-AyalaUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Corina Diaz-QuezadaUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.
Cesar S Cardona-FelixSECIHTI-Centro de Investigaciones Biológicas del Noroeste, La Paz, Baja California Sur, Mexico.
Fernando Guzman ChavezFacultad de Química, Departamento de Alimentos y Biotecnología, Universidad Nacional Autónoma de México UNAM, Mexico City, Mexico.
Carlos H Trasviña-ArenasCinvestav, Centro Envejecemiento, Mexico City, Mexico.
Rogerio R Sotelo-MundoLaboratorio de Estructura Biomolecular, Centro de Investigacion en Alimentacion y Desarrollo, A. C, Hermosillo, Sonora, Mexico.
Beatriz Xoconostle-CazaresDepartamento de Biotecnología y Bioingeniería, CINVESTAV-IPN, Mexico City, Mexico.
Agustino Martínez-AntonioUnidad Irapuato, CINVESTAV-IPN, Irapuato, Guanajuato, Mexico.
Luis Gabriel Brieba de CastroUnidad de Genómica Avanzada, CINVESTAV-IPN, Irapuato, Gto, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recombinase polymerase amplification (RPA) facilitates rapid, exponential, isothermal nucleic acid amplification without the need for specialized equipment. Since its development in 2006, RPA has been widely applied to detect hundreds of RNA and DNA targets, spanning point-of-care diagnostics and agricultural uses. However, its reliance on pre-assembled commercial kits limits flexibility for customization. In this study, we introduce an open-source alternative to commercial RPA kits, utilizing purified, heterologously expressed proteins to circumvent the fixed molar ratios of proprietary systems. Our method incorporates enzymes from the bacteriophage T4 homologous recombination pathway-single-stranded binding protein (gp32), recombinase (UvsX), and mediator (UvsY)-along with Moloney murine leukemia virus (MMLV) reverse transcriptase with enhanced thermal stability, and Bst and Bsu DNA polymerases. We assessed the impact of buffer composition, reagent concentrations, and reaction temperature using synthetic SARS-CoV-2 genes. Notably, gp32 concentration and buffer composition emerged as critical factors in optimizing RPA performance. Using this tailored system, we demonstrated successful detection of the SARS-CoV-2 N gene on lateral flow devices (LFDs) with cDNA from eight clinical samples, achieving results consistent with RT-PCR. This open-source RPA platform provides an adaptable and cost-effective alternative for researchers, enabling the exploration of diverse experimental conditions and offering a viable solution for those without access to commercial kits.

Indexed as

COVID-19DNA-Binding ProteinsNucleic Acid Amplification TechniquesRecombinasesSARS-CoV-2DNA, Single-StrandedHumansMembrane ProteinsViral ProteinsDNA-Binding ProteinsDNA, Single-Strandedgp32 protein, Enterobacteria phage T4Membrane ProteinsRecombinasesUvsX protein, Enterobacteria phage T4Viral ProteinsPoint of careRecombinase polymerase amplificationSARS-COV2

Identifiers

PMID40821985
PMCPMC12357552

What OpenQuestion holds

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LicenceCC BY
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.