Evidence map›Paper›PMID 19854942›Full record

ArticleNucleic acids research2010

Profiling the selectivity of DNA ligases in an array format with mass spectrometry.

Joohoon Kim, Milan Mrksich

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Structured sequences emerge from random pool when replicated by templated ligation.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Enzyme-guided DNA Sewing Architecture.Scientific reports · 2015
    Article
  13. Article
  14. Article
  15. Article
  16. 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

2 authors.

Joohoon KimDepartment of Chemistry, Howard Hughes Medical Institute, The University of Chicago, Chicago, IL 60637, USA.
Milan Mrksich

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

This article describes a method for the global profiling of the substrate specificities of DNA ligases and illustrates examples using the Taq and T4 DNA ligases. The method combines oligonucleotide arrays, which offer the benefits of high throughput and multiplexed assays, with mass spectrometry to permit label-free assays of ligase activity. Arrays were prepared by immobilizing ternary biotin-tagged DNA substrates to a self-assembled monolayer presenting a layer of streptavidin protein. The array represented complexes having all possible matched and mismatched base pairs at the 3' side of the nick site and also included a number of deletions and insertions at this site. The arrays were treated with ligases and adenosine triphosphate or analogs of the nucleotide triphosphate and then analyzed by matrix-assisted laser desorption-ionization mass spectrometry to determine the yields for both adenylation of the 5'-probe strand and joining of the two probe strands. The resulting activity profiles reveal the basis for specificity of the ligases and also point to strategies that use ATP analogs to improve specificity. This work introduces a method that can be applied to profile a broad range of enzymes that operate on nucleic acid substrates.

Indexed as

Adenosine TriphosphateBase Pair MismatchDNA LigasesOligonucleotide Array Sequence AnalysisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSubstrate SpecificityAdenosine TriphosphateDNA Ligases

Identifiers

PMID19854942
PMCPMC2800213

What OpenQuestion holds

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LicenceCC BY-NC
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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.