Evidence map›Paper›PMID 32013423›Full record

ArticleJournal of the American Society for Mass Spectrometry2020

Higher-Order Structure Influences the Kinetics of Diethylpyrocarbonate Covalent Labeling of Proteins.

Xiao Pan, Patanachai Limpikirati, Huan Chen, Tianying Liu, Richard W Vachet

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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

5 authors at 2 institutions in 1 country.

Xiao PanDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.ORCID http://orcid.org/0000-0002-4444-8275
Patanachai LimpikiratiDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.ORCID http://orcid.org/0000-0001-7708-4415
Huan ChenDepartment of Mathematical Sciences, School of Natural Sciences and Mathematics, University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID http://orcid.org/0000-0003-2991-9507
Tianying LiuDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.
Richard W VachetDepartment of Chemistry, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States.ORCID http://orcid.org/0000-0003-4514-0210
University of Massachusetts Amherst · USThe University of Texas at Dallas · US

Funding

Copper-Induced Amyloidosis Studied by Mass SpectrometryR01GM075092 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI VACHET, RICHARD W · 2005 to 2020
$4.0M
NIGMS NIH HHS R01 GM075092
6 · The paper itself

Abstract

The combination of covalent labeling (CL) and mass spectrometry (MS) has emerged as a useful tool for studying protein structure due to its good structural coverage, the ability to study proteins in mixtures, and its high sensitivity. Diethylpyrocarbonate (DEPC) is an effective CL reagent that can label N-termini and the side chains of several nucleophilic residues, providing information for about 30% of the residues in the average protein. For DEPC to provide accurate structural information, the extent of labeling must be controlled to minimize label-induced structural perturbations. In this work, we establish a quantitative correlation between general protein structural factors and DEPC reaction rates by measuring the reaction rate coefficients for several model proteins. Using principal component and regression analyses, we find that the solvent accessible surface areas of histidine and lysine residues in proteins are the primary factors that determine a protein's reactivity toward DEPC, despite the fact that other more abundant residues, such as tyrosine, threonine, and serine, are also labeled by DEPC. From the statistical analysis, a model emerges that can be used to predict the reactivity of a protein based on its structure and sequence, allowing the optimal DEPC concentration to be chosen for a given protein. The resulting model is supported by cross-validation studies and by accurately predicting of the reactivity of five test proteins. Overall, our model reveals interesting insight into the reactivity of proteins with DEPC, and it will facilitate identification of optimal DEPC labeling conditions for proteins.

Indexed as

AnimalsDiethyl PyrocarbonateHumansIndicators and ReagentsKineticsMass SpectrometryModels, MolecularProtein ConformationProteinsDiethyl PyrocarbonateIndicators and ReagentsProteinscovalent labelingdiethylpyrocarbonateliquid chromatographymass spectrometryprotein higher-order structural analysis

Identifiers

PMID32013423
PMCPMC7077735
OpenAlexW3000838175

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.