Development of sensitive methods to monitor and quantitatively assess the expression levels of endogenous genes and the association-interaction of proteins in living cells and whole organisms is a complex and challenging problem. In this chapter, we have described basic methods for investigating protein-protein interactions which include immunoprecipitation, GST pull-down assays, peptide bead pull-down assays, chemical crosslinking and photoaffinity labeling. These methods should provide important tools to dissect crosstalk between proteins and the direct implications of this crosstalk in signaling pathways and cancer biology.

Download full-text PDF

Source
http://dx.doi.org/10.1385/1-59259-356-9:255DOI Listing

Publication Analysis

Top Keywords

protein-protein interactions
8
pull-down assays
8
methods
4
methods study
4
study protein-protein
4
interactions cancer
4
cancer cell
4
cell biology
4
biology development
4
development sensitive
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!