Evidence map›Paper›PMID 36546832›Full record

ReviewProteomics2023

Recent advances in characterization of citrullination and its implication in human disease research: From method development to network integration.

Bin Wang, Lauren Fields, Lingjun Li

Open access · hybridAbstract readReview
In one paragraph

Review in Proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. [Determination of the derivatization reactivity betweenSe pu = Chinese journal of chromatography · 2024
    Article
  4. Review
  5. 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

3 authors at 1 institution in 1 country.

Bin WangSchool of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Lauren FieldsDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Lingjun LiSchool of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0003-0056-3869
University of Wisconsin–Madison · US

Funding

Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
Acquisition of a High-Field Dual Source FTICR-MS for Pharmaceutical ResearchS10RR029531 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2011 to 2011
$2.1M
Acquisition of a Dual-Source, High-Performance, Ion Mobility, Quadrupole Time-of-Flight Mass Spectrometry System for Biomedical Research at UW-MadisonS10OD028473 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2021 to 2021
$1.3M
Acquisition of a High Resolution High Speed MALDI Mass Spectrometer for Biomedical Research at UW-MadisonS10OD025084 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$598k
Probing Protein Structural Changes in Alzheimers DiseaseR21AG065728 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2020 to 2020
$420k
A novel multi-faceted method for large-scale characterization and relative quantitation of citrullinated proteins for biological samples and its application to Alzheimer's diseaseR21AG060242 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2019
$408k
NCRR NIH HHS S10 RR029531NCRR NIH HHS S10RR029531NIA NIH HHS R21 AG060242NIA NIH HHS R21AG060242NIA NIH HHS R21 AG065728NIA NIH HHS R21AG065728NIA NIH HHS RF1 AG052324NIA NIH HHS RF1AG052324NIDDK NIH HHS R01 DK071801NIDDK NIH HHS R01DK071801NIGMS NIH HHS T32 GM008505NIH HHS S10 OD025084NIH HHS S10 OD028473
6 · The paper itself

Abstract

Post-translational modifications (PTM) of proteins increase the functional diversity of the proteome and have been implicated in the pathogenesis of numerous diseases. The most widely understood modifications include phosphorylation, methylation, acetylation, O-linked/N-linked glycosylation, and ubiquitination, all of which have been extensively studied and documented. Citrullination is a historically less explored, yet increasingly studied, protein PTM which has profound effects on protein conformation and protein-protein interactions. Dysregulation of protein citrullination has been associated with disease development and progression. Identification and characterization of citrullinated proteins is highly challenging, complicated by the low cellular abundance of citrullinated proteins, making it difficult to identify and quantify the extent of citrullination in samples, coupled with challenges associated with development of mass spectrometry (MS)-based methods, as the corresponding mass shift is relatively small, +0.984 Da, and identical to the mass shift of deamidation. The focus of this review is to discuss recent advancements of citrullination-specific MS approaches and integration of the potential methodology for improved citrullination identification and characterization. In addition, the association of citrullination in disease networks is also highlighted.

Indexed as

CitrullinationProtein Processing, Post-TranslationalGlycosylationHumansPhosphorylationProteomeProteomecitrullinationdisease networkmass spectrometrymethodologyproteomicsPTMquantitation

Identifiers

PMID36546832
PMCPMC10285031
OpenAlexW4312077278

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.