Evidence map›Paper›PMID 33772580›Full record

ArticleNucleic acids research2021

Kinetic sequencing (k-Seq) as a massively parallel assay for ribozyme kinetics: utility and critical parameters.

Yuning Shen, Abe Pressman, Evan Janzen, Irene A Chen

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  13. RNA-Cleaving Deoxyribozymes Differentiate Methylated Cytidine Isomers in RNA.Angewandte Chemie (International ed. in English) · 2021
    Article
  14. Encapsulation of ribozymes inside model protocells leads to faster evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

4 authors.

Yuning ShenDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106, USA.
Abe PressmanDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.ORCID 0000-0003-0849-620X
Evan JanzenDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106, USA.
Irene A ChenDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, CA 93106, USA.ORCID 0000-0001-6040-7927

Funding

Understanding how bacteriophages affect wound ecologies and developing new tools to harness bacteria-phage interactionsDP2GM123457 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI CHEN, IRENE ANN · 2016 to 2016
$2.3M
NIGMS NIH HHS DP2 GM123457
6 · The paper itself

Abstract

Characterizing genotype-phenotype relationships of biomolecules (e.g. ribozymes) requires accurate ways to measure activity for a large set of molecules. Kinetic measurement using high-throughput sequencing (e.g. k-Seq) is an emerging assay applicable in various domains that potentially scales up measurement throughput to over 106 unique nucleic acid sequences. However, maximizing the return of such assays requires understanding the technical challenges introduced by sequence heterogeneity and DNA sequencing. We characterized the k-Seq method in terms of model identifiability, effects of sequencing error, accuracy and precision using simulated datasets and experimental data from a variant pool constructed from previously identified ribozymes. Relative abundance, kinetic coefficients, and measurement noise were found to affect the measurement of each sequence. We introduced bootstrapping to robustly quantify the uncertainty in estimating model parameters and proposed interpretable metrics to quantify model identifiability. These efforts enabled the rigorous reporting of data quality for individual sequences in k-Seq experiments. Here we present detailed protocols, define critical experimental factors, and identify general guidelines to maximize the number of sequences and their measurement accuracy from k-Seq data. Analogous practices could be applied to improve the rigor of other sequencing-based assays.

Indexed as

RNA, CatalyticHigh-Throughput Nucleotide SequencingKineticsModels, BiologicalMutationSequence Analysis, DNARNA, Catalytic

Identifiers

PMID33772580
PMCPMC8559535

What OpenQuestion holds

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LicenceCC BY
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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.