Evidence map›Paper›PMID 42729085›Full record

ArticleBio-protocol2026

Massively Parallel In Vitro Functional Analysis of Evolution-Derived Transcriptional Riboswitch Sequences.

Laura M Hertz, Julius B Lucks

Abstract read
In one paragraph

Article in Bio-protocol, 2026. 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

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

2 authors.

Laura M HertzInterdisciplinary Biological Sciences Graduate Program, Northwestern University, Evanston, IL, USA.
Julius B LucksInterdisciplinary Biological Sciences Graduate Program, Northwestern University, Evanston, IL, USA.

Funding

Developing Capacity to Evaluate Training Programs via Development of Human, Institutional and Social CapitalT32GM008449 · NIGMS · NORTHWESTERN UNIVERSITY · PI LEONARD, JOSHUA NATHANIEL · 1993 to 2023
$7.8M
Dynamic RNA Folding and FunctionR35GM161278 · NIGMS · NORTHWESTERN UNIVERSITY · PI Julius Beau Lucks · 2026 to 2026
$383k
NIGMS NIH HHS R35 GM161278NIGMS NIH HHS T32 GM008449
6 · The paper itself

Abstract

Riboswitches are structured non-coding RNA elements that regulate gene expression in response to small molecules; they serve as valuable systems in both public health and biophysical research by elucidating principles around RNA-ligand interactions, structure, and cellular function. Traditional approaches to studying riboswitches have relied on low-throughput techniques such as reporter assays or gel electrophoresis analysis of transcriptional products, which are limited in scalability. In this study, we present a high-throughput protocol to characterize the transcriptional activity of nearly 2,000 natural variants of the fluoride riboswitch in in vitro transcription. Starting with bioinformatics, we compiled a comprehensive dataset of riboswitch variants and then employed massive parallel oligonucleotide synthesis to generate an oligo pool of the riboswitch library. This pool was transcribed in vitro, converted into an Illumina-compatible next-generation sequencing (NGS) library, and analyzed to identify transcriptionally active riboswitch candidates. The workflow integrates natural riboswitch bioinformatic acquisition into a quantitative readout in a single streamlined pipeline, enabling large-scale exploration of transcriptional riboswitch function. This protocol offers a scalable method for mapping genotype-to-function relationships across transcriptional riboswitch families, accelerating the identification of functional variants for desired applications. Key features • Bioinformatics to acquire full sequences (aptamer + downstream expression platform) of naturally occurring riboswitches. •

Indexed as

BioinformaticsIntrinsic terminationIn vitro transcriptionNGSRiboswitchesRNA-seq

Identifiers

PMID42729085
PMCPMC13561695

What OpenQuestion holds

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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.