Search results for "protein network"

Identification of Protein Complexes Associated with the Usher Syndrome 2C and Epilepsy-Associated Protein VLGR1 Applying Affinity Proteomics

2017

Authors aimed to identify novel VLGR1-associated protein networks to shed light on its integration into signaling pathways and the cellular compartments in which VLGR1 functions using high-resolution affinity proteomics based on tandem affinity purifications (TAPs).

Virus-host interactome: Putting the accent on how it changes

2017

[EN] Viral infections are extremely complex processes that could only be well understood by precisely characterizing the interaction networks between the virus and the host components. In recent years, much effort has gone in this directionwith the aimof unveiling themolecular basis of viral pathology. These networks are mostly formed by viral and host proteins, and are expected to be dynamic bothwith time and space (i.e., with the progression of infection, as well as with the virus and host genotypes; what we call plastodynamic). This largely overlooked spatio-temporal evolution urgently calls for a change both in the conceptual paradigms and experimental techniques used so far to characte…

Das Usher-Syndrom, eine Ziliopathie des Menschen

2018

ZusammenfassungDas humane Usher-Syndrom (USH) ist eine seltene, komplexe genetische Erkrankung, die sich in kombinierter Taubblindheit manifestiert. Aufgrund der Ausprägung des Krankheitsbilds werden 3 klinische Typen (USH1 – 3) unterschieden. Für eine korrekte Diagnose sind zusätzlich zu den auditorischen Tests im Zuge des Neugeborenenscreens auch frühe ophthalmologische Untersuchungen und eine molekulargenetische Abklärung notwendig. Die bislang 10 bekannten USH-Gene codieren für heterogene Proteine, die in Proteinnetzwerken miteinander in Funktionseinheiten kooperieren. Im Auge und im Ohr werden USH-Proteine vor allem in den mechanosensitiven Haarsinneszellen und den Stäbchen- und Zapfen…

Nuclear inclusions of pathogenic ataxin-1 induce oxidative stress and perturb the protein synthesis machinery

2020

Spinocerebellar ataxia type-1 (SCA1) is caused by an abnormally expanded polyglutamine (polyQ) tract in ataxin-1. These expansions are responsible for protein misfolding and self-assembly into intranuclear inclusion bodies (IIBs) that are somehow linked to neuronal death. However, owing to lack of a suitable cellular model, the downstream consequences of IIB formation are yet to be resolved. Here, we describe a nuclear protein aggregation model of pathogenic human ataxin-1 and characterize IIB effects. Using an inducible Sleeping Beauty transposon system, we overexpressed the ATXN1(Q82) gene in human mesenchymal stem cells that are resistant to the early cytotoxic effects caused by the expr…

Editorial: Protein Interaction Networks in Health and Disease

2016

The identification and annotation of protein-protein interactions (PPIs) is of great importance in systems biology. Big data produced from experimental or computational approaches allow not only the construction of large protein interaction maps but also expand our knowledge on how proteins build up molecular complexes to perform sophisticated tasks inside a cell. However, if we want to accurately understand the functionality of these complexes, we need to go beyond the simple identification of PPIs. We need to know when and where an interaction happens in the cell and also understand the flow of information through a protein interaction network. Another perspective of the research on PPI n…

MIPPIE: the mouse integrated protein–protein interaction reference

2020

Abstract Cells operate and react to environmental signals thanks to a complex network of protein–protein interactions (PPIs), the malfunction of which can severely disrupt cellular homeostasis. As a result, mapping and analyzing protein networks are key to advancing our understanding of biological processes and diseases. An invaluable part of these endeavors has been the house mouse (Mus musculus), the mammalian model organism par excellence, which has provided insights into human biology and disorders. The importance of investigating PPI networks in the context of mouse prompted us to develop the Mouse Integrated Protein–Protein Interaction rEference (MIPPIE). MIPPIE inherits a robust infr…

A reliable and unbiased human protein network with the disparity filter

2017

AbstractThe living cell operates thanks to an intricate network of protein interactions. Proteins activate, transport, degrade, stabilise and participate in the production of other proteins. As a result, a reliable and systematically generated protein wiring diagram is crucial for a deeper understanding of cellular functions. Unfortunately, current human protein networks are noisy and incomplete. Also, they suffer from both study and technical biases: heavily studied proteins (e.g. those of pharmaceutical interest) are known to be involved in more interactions than proteins described in only a few publications. Here, we use the experimental evidence supporting the interaction between protei…

2015

High-throughput detection of protein interactions has had a major impact in our understanding of the intricate molecular machinery underlying the living cell, and has permitted the construction of very large protein interactomes. The protein networks that are currently available are incomplete and a significant percentage of their interactions are false positives. Fortunately, the structural properties observed in good quality social or technological networks are also present in biological systems. This has encouraged the development of tools, to improve the reliability of protein networks and predict new interactions based merely on the topological characteristics of their components. Sinc…

Cancer cell(s) cycle sequencing reveals universal mechanisms of apoptosis

2010

In this paper, cell cycle in higher eukaryotes and their molecular networks signals both in G 1/S and G2/M transitions are replicated in silico. Biochemical kinetics, converted into a set of differential equations, and system control theory are employed to design multi-nested digital layers to simulate protein-to-protein activation and inhibition for cell cycle dynamics in the presence of damaged genomes. Sequencing and controlling the digital process of four micro-scale species networks (p53/Mdm2/DNA damage, p21mRNA/cyclin-CDK complex, CDK/CDC25/wee1/ SKP2/APC/CKI and apoptosis target genes system) not only allows the comprehension of the mechanisms of these molecule interactions but paves…

Digital control circuitry for the p53 dynamics in cancer cell and apoptosis

2010

Experimental work and theoretical models deduce a "digital" response of the p53 transcription factor when genomic integrity is damaged. The mutual influence of p53 and its antagonist, the Mdm2 oncogene, is closed in feedback. This paper proposes an aerospace architecture for translating the p53/Mdm2/DNA damage network into a digital circuitry in which the optimal control theory is applied for obtaining the requested dynamic evolutions of some considered cell species for repairing a DNA damage. The purpose of this paper is not to improve the analysis of the actual mathematical models but to demonstrate the usefulness of such digital circuitry design to detect and predict the cell species dyn…