Literature DB >> 29376447

Characterizing disease-associated changes in post-translational modifications by mass spectrometry.

Camilla Thygesen1,2, Inga Boll1, Bente Finsen2, Maciej Modzel1, Martin R Larsen1.   

Abstract

INTRODUCTION: Exploring post-translational modifications (PTMs) with the use of mass spectrometry (PTMomics) is a rapidly developing area, with methods for discovery/quantification being developed and advanced on a regular basis. PTMs are highly important for the regulation of protein function, interaction and activity, both in physiological and disease states. Changes in PTMs can either cause, or be the result of a disease, making them central for biomarker studies and studies of disease pathogenesis. Recently, it became possible to study multiple PTMs simultaneously from low amount of sample material, thereby increasing coverage of the PTMome obtainable from a single sample. Thus, quantitative PTMomics holds great potential to discover biomarkers from tissue and body fluids as well as elucidating disease mechanisms through characterization of signaling pathways. Areas covered: Recent mass spectrometry-based methods for assessment of the PTMome, with focus on the most studied PTMs, are highlighted. Furthermore, both data dependent and data independent acquisition methods are evaluated. Finally, current challenges in the field are discussed. Expert commentary: PTMomics holds great potential for clinical and biomedical research, especially with the generation of spectral libraries of peptides and PTMs from individual patients (permanent PTM maps) for use in personalized medicine.

Entities:  

Keywords:  DDA strategies; DIA strategies; Post-translational modification; clinical proteomics; enrichment strategies; mass spectrometry

Mesh:

Substances:

Year:  2018        PMID: 29376447     DOI: 10.1080/14789450.2018.1433036

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  8 in total

1.  The DNA Sensor cGAS is Decorated by Acetylation and Phosphorylation Modifications in the Context of Immune Signaling.

Authors:  Bokai Song; Todd M Greco; Krystal K Lum; Caroline E Taber; Ileana M Cristea
Journal:  Mol Cell Proteomics       Date:  2020-04-28       Impact factor: 5.911

Review 2.  Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome: Where There Is a Will, There Is a Way.

Authors:  Justyna Fert-Bober; Christopher I Murray; Sarah J Parker; Jennifer E Van Eyk
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

3.  Genome-wide Meta-analysis Reveals New Gene Signatures and Potential Drug Targets of Hypertension.

Authors:  Fawad Ali; Arifullah Khan; Syed Aun Muhammad; Syed Qamar Abbas; Syed Shams Ul Hassan; Simona Bungau
Journal:  ACS Omega       Date:  2022-06-20

4.  The TargetMine Data Warehouse: Enhancement and Updates.

Authors:  Yi-An Chen; Lokesh P Tripathi; Takeshi Fujiwara; Tatsuya Kameyama; Mari N Itoh; Kenji Mizuguchi
Journal:  Front Genet       Date:  2019-10-09       Impact factor: 4.599

5.  Ubiquitin and SUMO conjugation as biomarkers of acute myeloid leukemias response to chemotherapies.

Authors:  Pierre Gâtel; Frédérique Brockly; Christelle Reynes; Manuela Pastore; Yosr Hicheri; Guillaume Cartron; Marc Piechaczyk; Guillaume Bossis
Journal:  Life Sci Alliance       Date:  2020-04-17

Review 6.  Misincorporation Proteomics Technologies: A Review.

Authors:  Joel R Steele; Carly J Italiano; Connor R Phillips; Jake P Violi; Lisa Pu; Kenneth J Rodgers; Matthew P Padula
Journal:  Proteomes       Date:  2021-01-21

7.  Depolarization-dependent Induction of Site-specific Changes in Sialylation on N-linked Glycoproteins in Rat Nerve Terminals.

Authors:  Inga Boll; Pia Jensen; Veit Schwämmle; Martin R Larsen
Journal:  Mol Cell Proteomics       Date:  2020-06-09       Impact factor: 5.911

8.  Global Lysine Acetylation and 2-Hydroxyisobutyrylation Profiling Reveals the Metabolism Conversion Mechanism in Giardia lamblia.

Authors:  Wenhe Zhu; Xiaoming Jiang; Hongyu Sun; Yawei Li; Wenyan Shi; Meiyu Zheng; Di Liu; Aixin Ma; Xianmin Feng
Journal:  Mol Cell Proteomics       Date:  2021-01-07       Impact factor: 5.911

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.