Evidence map›Paper›PMID 42455625›Full record

ArticleCurrent protocols2026

NaP-TRAP: A Versatile and Accessible Workflow to Dissect Principles of Translational Regulation and mRNA Stability.

Amit Gupta, Anna Z Struba, Srihari Madhavan, Ethan Strayer, Jean-Denis Beaudoin

Abstract read
In one paragraph

Article in Current protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Amit GuptaDepartment of Genetics and Genome Sciences, UConn Health, Farmington, Connecticut.
Anna Z StrubaDepartment of Genetics and Genome Sciences, UConn Health, Farmington, Connecticut.
Srihari MadhavanDepartment of Genetics and Genome Sciences, UConn Health, Farmington, Connecticut.
Ethan StrayerDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut.
Jean-Denis BeaudoinDepartment of Genetics and Genome Sciences, UConn Health, Farmington, Connecticut.ORCID https://orcid.org/0000-0003-4932-1668

Funding

NIH HHS
6 · The paper itself

Abstract

The translation of messenger RNA (mRNA) into protein is tightly regulated by both cellular trans-factors and cis-regulatory elements encoded within transcripts. Although transcript fate can be measured by transcript abundance or translation efficiency, separating the contribution of individual cis-element within a single transcript is an ongoing challenge. Current, massively parallel reporter assay (MPRA) approaches enable systematic interrogation of cis-regulatory elements that control transcript stability, but translation-focused MPRAs remain technically limited and often inaccessible. Here we present Nascent Peptide Translating Ribosome Affinity Purification (NaP-TRAP), a reporter-based approach that simultaneously measures translation and mRNA abundance. Unlike previous methods, NaP-TRAP captures translation via immunoprecipitation of epitope-tagged nascent peptide chains, providing instantaneous, frame-specific readouts without specialized instrumentation. The method is scalable from single reporters to complex libraries, and adaptable across in vivo and in vitro systems. NaP-TRAP is versatile, allowing assessment of cis-regulatory impact of elements distributed throughout the mRNA, from cap-to-tail. This article covers experimental design, reporter construction, sample processing, and computational analysis for both low- and high-throughput applications. Benchwork can be completed in 4 to 5 days, with quantitative polymerase chain reaction (qPCR)-based readouts requiring only basic Microsoft Excel skills for data processing. Sequencing-based readouts require command-line and Python skills and add 2 to 3 days. NaP-TRAP thus offers an accessible, robust, and quantitative platform to decode the regulatory logic of mRNA translation and stability in diverse biological contexts. © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Design, assembly, and synthesis of NaP-TRAP reporter libraries Support Protocol: Design, assembly, and synthesis of NaP-TRAP individual reporters and spike-ins Basic Protocol 2: NaP-TRAP delivery by micro-injection in zebrafish embryos Alternate Protocol 1: NaP-TRAP delivery by transfection in cultured mammalian cells Basic Protocol 3: NaP-TRAP pulldown and RNA extraction Basic Protocol 4: Preparation of NaP-TRAP sequencing libraries Alternate Protocol 2: NaP-TRAP qPCR module for low-cost validation Basic Protocol 5: Computational analysis of NaP-TRAP MPRA data.

Indexed as

Protein BiosynthesisRNA, MessengerRNA StabilityAnimalsGene Expression RegulationGenes, ReporterHumansRibosome ProfilingRibosomesWorkflowZebrafishRNA, Messengermammalian cellsmassively parallel reporter assaypost‐transcriptional regulationtranslationzebrafish

Identifiers

PMID42455625
PMCPMC13372052

What OpenQuestion holds

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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.