Evidence map›Paper›PMID 33979658›Full record

ArticleAnalytical biochemistry2021

High throughput quantification of short nucleic acid samples by capillary electrophoresis with automated data processing.

Tyler L Dangerfield, Nathan Z Huang, Kenneth A Johnson

Abstract read
In one paragraph

Article in Analytical biochemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Slow PPThe Journal of biological chemistry · 2026
    Article
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  3. Review
  4. Article
  5. Article
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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

3 authors.

Tyler L DangerfieldInstitute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas, 2500 Speedway, Austin, TX, 78712, USA.
Nathan Z HuangInstitute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas, 2500 Speedway, Austin, TX, 78712, USA.
Kenneth A JohnsonInstitute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas, 2500 Speedway, Austin, TX, 78712, USA. Electronic address: kajohnson@utexas.edu.

Funding

Kinetic and structural basis for SARS-CoV-2 RNA-dependent RNA polymerase specificity and inhibitionR01AI163336 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI JOHNSON, KENNETH ALLEN · 2021 to 2025
$2.9M
Dynamics of Hepatis C viral RNA-dependent RNA replicationR01AI110577 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI JOHNSON, KENNETH ALLEN · 2015 to 2018
$1.8M
Correlating defects in mitochondrial DNA replication to physiologyR01GM114223 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI JOHNSON, KENNETH ALLEN · 2015 to 2018
$1.5M
NIAID NIH HHS R01 AI110577NIAID NIH HHS R01 AI163336NIGMS NIH HHS R01 GM114223
6 · The paper itself

Abstract

Analysis of catalytic activity of nucleic acid enzymes is crucial for many applications, ranging from biotechnology to the search for antiviral drugs. Commonly used analytical methods for quantifying DNA and RNA reaction products based on slab-gel electrophoresis are limited in throughput, speed, and accuracy. Here we report the optimization of high throughput methods to separate and quantify short nucleic acid reaction products using DNA sequencing instruments based on capillary electrophoresis with fluorescence detection. These methods afford single base resolution without requiring extensive sample preparation. Additionally, we show that the utility of our system extends to quantifying RNA products. The efficiency and reliability of modern instruments offers a large increase in throughput but complications due to variations in migration times between capillaries required us to develop a computer program to normalize the data and quantify the products for automated kinetic analysis. The methods presented here greatly increase sample throughput and accuracy and should be applicable to many nucleic acid enzymes.

Indexed as

Electronic Data ProcessingElectrophoresis, CapillaryHigh-Throughput Screening AssaysKineticsNucleic AcidsReproducibility of ResultsSequence Analysis, DNAThioredoxinsNucleic AcidsThioredoxinsCapillary electrophoresisDNA and RNA analysisDNA polymeraseHigh throughputQuantification and analysis softwareSanger sequencer

Identifiers

PMID33979658
PMCPMC8384658

What OpenQuestion holds

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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.