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EDITORIAL article

Front. Endocrinol., 28 February 2024
Sec. Molecular and Structural Endocrinology
This article is part of the Research Topic Macromolecular Interactions in Signaling Pathways: From Classical Approaches to Virtual Reality View all 6 articles

Editorial: Macromolecular interactions in signaling pathways: from classical approaches to virtual reality

  • 1Department of Pharmacy - Drug Sciences, University of Bari Aldo Moro, Bari, Italy
  • 2Receptor Biology Lab, University of Antwerp, Antwerp, Belgium
  • 3Veterinary Faculty, Institute of Preclinical Sciences, University of Ljubljana, Ljubljana, Slovenia

This Research Topic aimed to provide an overview of methodological approaches to the study of protein-protein interactions (PPIs) and to shed light on the complex architecture of the transmembrane receptor signaling interactome that enables the propagation, amplification, and modulation of signals that ultimately lead to cellular responses. The focus was on advances in biophysical methods for monitoring PPIs in living cells, receptor oligomerization, bioinformatics, and computational tools for predicting PPIs, as well as experimental challenges and future trends in PPI research. A selection of review and original research articles was compiled focusing on homo-/heteromerization of G protein-coupled receptors (GPCRs) (Dale et al.; Nemoto et al.; Treppiedi et al.) and methodological challenges in the study of constitutively active orphan GPCRs (Mavri et al.). The review article by Dale et al. discusses the importance of GPCR heteromerization for receptor pharmacology and physiology, the methodological approaches for monitoring heteromer formation/identification and the criteria that a heteromer must meet to be recognized as physiologically relevant. In addition, methods for validation of heteromers are presented to detect: i) proximity of receptor promoters, ii) distinct biochemical properties of heteromers, and iii) disruption of heteromer function. The study by Nemoto et al. then reports on the development of a user-friendly and freely accessible GPCR–GPCR interacting pair predictor (GGIP) web server (https://protein.b.dendai.ac.jp/GGIP/). The article also discusses examples of applications for GGIP, with a focus on analyzing disease-associated mutations that potentially affect GPCR–GPCR interactions. The third article dealing with homo-/heteromerization of GPCRs is from Treppiedi et al. and examines the existence and physiological significance of homo- and heteromerization of somatostatin receptors (SSTs) in the pituitary gland, including the role of the SST2- and SST5-binding partner, i.e. the actin-binding protein filamin A (FLNA), in this process. They employed the proximity ligation assay for in situ visualization and quantification of SST2/SST5 dimerization in rat pituitary GH-secreting (GH3) cells and in human melanoma cells, A7 (FLNA-expressing) and M2 (FLNA-deficient). In all three cell lines, SST2/SST5 homo- and heteromerization was observed, with FLNA regulating the formation of heterodimers and the SST2 and SST5 agonist-induced intracellular trafficking.

Finally, the original article by Mavri et al. reports a comprehensive characterization of BILF1 encoded by human Epstein-Barr virus (EBV) and BILF1 receptors encoded by three porcine lymphotropic herpesviruses (PLHV1-3). Using different cell lines (human embryonic kidney 293 (HEK-293), porcine kidney 15 (PK-15) and CRISPR/Cas9-modified HEK-293A pan-knockout cells) and experimental in vitro approaches, PLHVs were characterized with respect to their localization, constitutive signaling and internalization as well as their ability to downregulate MHC-I. PLHV1 was also detected in lymphatic tissue from pigs with post-transplant lymphoproliferative disease (PTLD), providing initial evidence that pigs infected with PLHV1 could serve as an in vivo model for the study of PTLD.

Taken together, it can be summarized that proximity-based biophysical methods continue to be extensively employed in PPI research. In addition, there is a burgeoning trend towards utilizing computational methods for predicting interacting partners as well as different cell-based assays to validate potential interaction partners in an appropriate physiological environment. Unfortunately, integration of in vitro, in cellula and in vivo models along with AI (artificial intelligence) was not sufficiently addressed in this Research Topic.

Author contributions

ML: Writing – review & editing. MC: Writing – review & editing. SM: Writing – review & editing. MV: Writing – original draft, Writing – review & editing.

Acknowledgments

ML, MV and MC participated in the European COST Action CA 18133 (ERNEST) and this collection was compiled in cooperation with ERNEST.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: GPCRs, signal transduction, protein-protein interactions, dimerization, internalization

Citation: Leopoldo M, Contino M, Maudsley S and Vrecl M (2024) Editorial: Macromolecular interactions in signaling pathways: from classical approaches to virtual reality. Front. Endocrinol. 15:1388849. doi: 10.3389/fendo.2024.1388849

Received: 20 February 2024; Accepted: 21 February 2024;
Published: 28 February 2024.

Edited and Reviewed by:

Pierre De Meyts, Université catholique de Louvain, Belgium

Copyright © 2024 Leopoldo, Contino, Maudsley and Vrecl. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Milka Vrecl, milka.vrecl@vf.uni-lj.si

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.