Literature DB >> 25475989

How pathogens use linear motifs to perturb host cell networks.

Allegra Via1, Bora Uyar2, Christine Brun3, Andreas Zanzoni4.   

Abstract

Molecular mimicry is one of the powerful stratagems that pathogens employ to colonise their hosts and take advantage of host cell functions to guarantee their replication and dissemination. In particular, several viruses have evolved the ability to interact with host cell components through protein short linear motifs (SLiMs) that mimic host SLiMs, thus facilitating their internalisation and the manipulation of a wide range of cellular networks. Here we present convincing evidence from the literature that motif mimicry also represents an effective, widespread hijacking strategy in prokaryotic and eukaryotic parasites. Further insights into host motif mimicry would be of great help in the elucidation of the molecular mechanisms behind host cell invasion and the development of anti-infective therapeutic strategies.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  SLiMs; host–pathogen interactions; molecular mimicry; short linear motifs; virulence

Mesh:

Year:  2014        PMID: 25475989     DOI: 10.1016/j.tibs.2014.11.001

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  36 in total

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Authors:  Cason R King; Steven F Gameiro; Tanner M Tessier; Ali Zhang; Joe S Mymryk
Journal:  J Virol       Date:  2018-03-28       Impact factor: 5.103

Review 2.  A review on host-pathogen interactions: classification and prediction.

Authors:  R Sen; L Nayak; R K De
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-07-29       Impact factor: 3.267

Review 3.  Antibodies specific for disease-associated antigens (DAA) expressed in non-malignant diseases reveal potential new tumor-associated antigens (TAA) for immunotherapy or immunoprevention.

Authors:  Camille Jacqueline; Olivera J Finn
Journal:  Semin Immunol       Date:  2020-04-06       Impact factor: 11.130

4.  Structural Basis of the High Affinity Interaction between the Alphavirus Nonstructural Protein-3 (nsP3) and the SH3 Domain of Amphiphysin-2.

Authors:  Helena Tossavainen; Olli Aitio; Maarit Hellman; Kalle Saksela; Perttu Permi
Journal:  J Biol Chem       Date:  2016-06-06       Impact factor: 5.157

5.  How to Annotate and Submit a Short Linear Motif to the Eukaryotic Linear Motif Resource.

Authors:  Marc Gouw; Jesús Alvarado-Valverde; Jelena Čalyševa; Francesca Diella; Manjeet Kumar; Sushama Michael; Kim Van Roey; Holger Dinkel; Toby J Gibson
Journal:  Methods Mol Biol       Date:  2020

6.  Microbial Sources of Amyloid and Relevance to Amyloidogenesis and Alzheimer's Disease (AD).

Authors:  Y Zhao; P Dua; W J Lukiw
Journal:  J Alzheimers Dis Parkinsonism       Date:  2015-03

7.  Contrasting Function of Structured N-Terminal and Unstructured C-Terminal Segments of Mycobacterium tuberculosis PPE37 Protein.

Authors:  Javeed Ahmad; Aisha Farhana; Rita Pancsa; Simran Kaur Arora; Alagiri Srinivasan; Anil Kumar Tyagi; Madan Mohan Babu; Nasreen Zafar Ehtesham; Seyed Ehtesham Hasnain
Journal:  mBio       Date:  2018-01-23       Impact factor: 7.867

8.  Multiple cellular proteins interact with LEDGF/p75 through a conserved unstructured consensus motif.

Authors:  Petr Tesina; Kateřina Čermáková; Magdalena Hořejší; Kateřina Procházková; Milan Fábry; Subhalakshmi Sharma; Frauke Christ; Jonas Demeulemeester; Zeger Debyser; Jan De Rijck; Václav Veverka; Pavlína Řezáčová
Journal:  Nat Commun       Date:  2015-08-06       Impact factor: 17.694

9.  ELM 2016--data update and new functionality of the eukaryotic linear motif resource.

Authors:  Holger Dinkel; Kim Van Roey; Sushama Michael; Manjeet Kumar; Bora Uyar; Brigitte Altenberg; Vladislava Milchevskaya; Melanie Schneider; Helen Kühn; Annika Behrendt; Sophie Luise Dahl; Victoria Damerell; Sandra Diebel; Sara Kalman; Steffen Klein; Arne C Knudsen; Christina Mäder; Sabina Merrill; Angelina Staudt; Vera Thiel; Lukas Welti; Norman E Davey; Francesca Diella; Toby J Gibson
Journal:  Nucleic Acids Res       Date:  2015-11-28       Impact factor: 16.971

Review 10.  Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions.

Authors:  Padhmanand Sudhakar; Kathleen Machiels; Bram Verstockt; Tamas Korcsmaros; Séverine Vermeire
Journal:  Front Microbiol       Date:  2021-05-11       Impact factor: 5.640

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