Protein-Protein Interactions: Emerging Oncotargets in the RAS-ERK Pathway.

Trends Cancer

Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), Consejo Superior de Investigaciones Científicas (CSIC) - Universidad de Cantabria, Santander 39011, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid 28029, Spain. Electronic address:

Published: September 2018

Given the implication of aberrant RAS-extracellular signal-regulated kinase (ERK) signaling in the development of a large number of tumor types, this route is under intense scrutiny to identify new anticancer drugs. Most avenues in that direction have been primarily focused on the inhibition of the catalytic activity of the kinases that participate in this pathway. Although promising, the efficacy of these therapies is short lived due to undesired toxicity and/or drug resistance problems. As an alternative path, new efforts are now being devoted to the targeting of protein-protein interactions (PPIs) involved in the flow of RAS-ERK signals. Many of these efforts have shown promising results in preclinical models. In this review, we summarize recent progress made in this area.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.trecan.2018.07.002DOI Listing

Publication Analysis

Top Keywords

protein-protein interactions
8
interactions emerging
4
emerging oncotargets
4
oncotargets ras-erk
4
ras-erk pathway
4
pathway implication
4
implication aberrant
4
aberrant ras-extracellular
4
ras-extracellular signal-regulated
4
signal-regulated kinase
4

Similar Publications

Revealing mitochondrial architecture and functions with single molecule localization microscopy.

Biol Cell

January 2025

CNRS, Univ Rennes, IGDR [(Institut de Génétique et Développement de Rennes)]-UMR 6290, Rennes, France.

Understanding the spatiotemporal organization of components within living systems requires the highest resolution possible. Microscopy approaches that allow for a resolution below 250 nm include electron and super-resolution microscopy (SRM). The latter combines advanced imaging techniques and the optimization of image processing methods.

View Article and Find Full Text PDF

Deciphering cellular complexity: advances and future directions in single-cell protein analysis.

Front Bioeng Biotechnol

January 2025

Yunnan Key Laboratory of Cell Metabolism and Diseases, Yunnan University, Kunming, China.

Single-cell protein analysis has emerged as a powerful tool for understanding cellular heterogeneity and deciphering the complex mechanisms governing cellular function and fate. This review provides a comprehensive examination of the latest methodologies, including sophisticated cell isolation techniques (Fluorescence-Activated Cell Sorting (FACS), Magnetic-Activated Cell Sorting (MACS), Laser Capture Microdissection (LCM), manual cell picking, and microfluidics) and advanced approaches for protein profiling and protein-protein interaction analysis. The unique strengths, limitations, and opportunities of each method are discussed, along with their contributions to unraveling gene regulatory networks, cellular states, and disease mechanisms.

View Article and Find Full Text PDF

Introduction: Autophagy is necessary for the progression of psoriasis.

Aim: This study aimed to recognize possible autophagy-related genes in psoriasis via bioinformatics study to present a better standard for the clinical treatment and management of psoriasis.

Material And Methods: The GEO dataset was utilized to derive the mRNA expression profile of the database GSE78097.

View Article and Find Full Text PDF

Problem: Oxidative stress (OS) plays a key role in the pathogenesis of gestational diabetes mellitus (GDM), but it was not well understood. We aimed to investigate the biomarkers and underlying mechanisms of OS-related genes in GDM.

Method Of Study: The GSE103552 and GSE70493 datasets of GDM were acquired from the Gene Expression Omnibus (GEO) database.

View Article and Find Full Text PDF

Background: Polycystic ovary syndrome (PCOS) is an endocrine disease associated with reproductive and metabolic abnormalities. The aim of this study was to elucidate the effects of Schisandra rubriflora (S. rubriflora) on PCOS and its related mechanisms using network pharmacology, molecular docking and in vitro experiments.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!