Evidence map›Paper›PMID 39662711›Full record

ArticleMethods (San Diego, Calif.)2025

CHiTA: A scarless high-throughput pipeline for characterization of ribozymes.

Lauren N McKinley, Philip C Bevilacqua

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

Lauren N McKinleyDepartment of Chemistry, Pennsylvania State University, University Park, PA 16802, USA; Center for RNA and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA. Electronic address: lnmckinley11@gmail.com.
Philip C BevilacquaDepartment of Chemistry, Pennsylvania State University, University Park, PA 16802, USA; Center for RNA and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA. Electronic address: pcb5@psu.edu.

Funding

RNA folding and catalysis at the interface of biophysics and genomicsR35GM127064 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PHILIP C BEVILACQUA · 2018 to 2026
$3.4M
NIGMS NIH HHS R35 GM127064
6 · The paper itself

Abstract

Small self-cleaving ribozymes are catalytic RNAs that cleave their phosphodiester backbone rapidly and site-specifically, without the assistance of proteins. Their catalytic properties make them ideal targets for applications in RNA pharmaceuticals and bioengineering. Consequently, computational pipelines that predict or design thousands of self-cleaving ribozyme candidates have been developed. Traditional experimental techniques for verifying the activity of these putative ribozymes, however, are low-throughput and time intensive. High-throughput (HT) pipelines that employ next-generation sequencing (NGS) analyze the activity of these thousands of ribozymes simultaneously. Until recently, the application of these HT pipelines has been limited to studying all single and double mutants of a select representative ribozyme. Unfortunately, this prevents the exploration of candidates having different lengths, circular permutations, and auxiliary stem-loops. Moreover, pipelines that analyze ribozymes en masse often include transcription of non-native flanking sequences that preclude accurate assessment of the intrinsic rate of ribozyme self-cleavage. To overcome these limitations, we developed a HT pipeline, "Cleavage High-Throughput Assay (CHiTA)", which employs NGS and massively parallel oligonucleotide synthesis (MPOS) to characterize ribozyme activity for thousands of candidates in a scarless fashion. Herein, we describe detailed strategies and protocols to implement CHiTA to measure the activity of putative ribozymes from a wide range of ribozyme classes.

Indexed as

High-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysRNA, CatalyticNucleic Acid ConformationRNA, CatalyticCHiTAHigh-throughput assayNext-generation sequencingRibozyme

Identifiers

PMID39662711
PMCPMC11805615

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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.