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.
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http://dx.doi.org/10.1016/j.trecan.2018.07.002 | DOI Listing |
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 PDFFront 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 PDFPostepy Dermatol Alergol
December 2024
Department of Clinical Laboratory, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
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.
Am J Reprod Immunol
February 2025
Department of gynecology and obstetrics, Huzhou Maternity & Child Health Care Hospital, Huzhou, Zhejiang, China.
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.
J Ovarian Res
January 2025
Department of Reproductive Medicine Center, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
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.
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