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At least 163 records · Page 9Linked to original sources
PubMed2006

Cystic fibrosis enters the proteomics scene: new answers to old questions.

The discovery in 1989 of the gene encoding for the cystic fibrosis transmembrane conductance regulator (CFTR) and its mutation as the primary cause of cystic fibrosis (CF), generated an optimistic reaction with respect to the development of potential therapies. This extraordinary milestone, however, represented only the initial key step in a long path. Many of the mechanisms that govern the pathogenesis of CF, the most commonly inherited lethal pulmonary disorder in Caucasians, remain even today unknown. As a continuation to genomic research, proteomics now offers the unique advantage to examine global alterations in the protein expression patterns of CF cells and tissues. The systematic use of this approach will probably provide new insights into the cellular mechanisms involved in CF dysfunctions, and should ultimately result in the finding of new prognostic markers, and in the generation of new therapies. In this article we review the current status of proteomic research applied to the study of CF, including CFTR-related interactomics, and evaluate the potential of these technologies for future investigations.

Biomarkers↗
PubMed2006

The pitfalls of proteomics experiments without the correct use of bioinformatics tools.

The elucidation of the entire genomic sequence of various organisms, from viruses to complex metazoans, most recently man, is undoubtedly the greatest triumph of molecular biology since the discovery of the DNA double helix. Over the past two decades, the focus of molecular biology has gradually moved from genomes to proteomes, the intention being to discover the functions of the genes themselves. The postgenomic era stimulated the development of new techniques (e.g. 2-DE and MS) and bioinformatics tools to identify the functions, reactions, interactions and location of the gene products in tissues and/or cells of living organisms. Both 2-DE and MS have been very successfully employed to identify proteins involved in biological phenomena (e.g. immunity, cancer, host-parasite interactions, etc.), although recently, several papers have emphasised the pitfalls of 2-DE experiments, especially in relation to experimental design, poor statistical treatment and the high rate of 'false positive' results with regard to protein identification. In the light of these perceived problems, we review the advantages and misuses of bioinformatics tools - from realisation of 2-DE gels to the identification of candidate protein spots - and suggest some useful avenues to improve the quality of 2-DE experiments. In addition, we present key steps which, in our view, need to be to taken into consideration during such analyses. Lastly, we present novel biological entities named 'interactomes', and the bioinformatics tools developed to analyse the large protein-protein interaction networks they form, along with several new perspectives of the field.

Amino Acid Sequence↗
PubMed2006

Diffusion-collision of foldons elucidates the kinetic effects of point mutations and suggests control strategies of the folding process of helical proteins.

In this article we use mutation studies as a benchmark for a minimal model of the folding process of helical proteins. The model ascribes a pivotal role to the collisional dynamics of a few crucial residues (foldons) and predicts the folding rates by exploiting information drawn from the protein sequence. We show that our model rationalizes the effects of point mutations on the kinetics of folding. The folding times of two proteins and their mutants are predicted. Stability and location of foldons have a critical role as the determinants of protein folding. This allows us to elucidate two main mechanisms for the kinetic effects of mutations. First, it turns out that the mutations eliciting the most notable effects alter protein stability through stabilization or destabilization of the foldons. Secondly, the folding rate is affected via a modification of the foldon topology by those mutations that lead to the birth or death of foldons. The few mispredicted folding rates of some mutants hint at the limits of the current version of the folding model proposed in the present article. The performance of our folding model declines in case the mutated residues are subject to strong long-range forces. That foldons are the critical targets of mutation studies has notable implications for design strategies and is of particular interest to address the issue of the kinetic regulation of single proteins in the general context of the overall dynamics of the interactome.

Binding Sites↗
PubMed2027

Epitope Tagging and Coimmunoprecipitation to Identify Viral Protein Interactors.

Affinity purification-mass spectrometry (AP-MS) is a powerful proteomic approach for dissecting the interaction network between virus and host. Traditional AP-MS employs overexpression of viral proteins as baits to enrich host interactors. However, overexpressed viral proteins may mislocalize to inappropriate cellular compartments and trigger endoplasmic reticulum stress by overwhelming the protein-folding machinery, which leads to false identification of host factors. To overcome these limitations, we introduce an AP-MS strategy based on direct infection with an epitope-tagged chikungunya virus (CHIKV/myc-E2), which we used to successfully uncover two new antiviral factors in CHIKV cellular reservoirs-macrophages. In this protocol, we will describe this technique step by step: (1) design and construction of myc-tagged virus by advanced multi-fragment assembly, (2) in vitro transcription and preparation of infectious myc-tagged virus stocks, and (3) immunoprecipitation of myc-tagged viral protein and its interactome for mass spectrometry analysis. This strategy enables accurate identification of viral interactors in a physiologically relevant context, providing a framework for future proteomic studies using tagged viruses.

Chikungunya virus↗
PubMed2006

Exploiting new systems-based strategies to elucidate plant-bacterial interactions in the rhizosphere.

The rhizosphere is the site of intense interactions between plant, bacterial, and fungal partners. In plant-bacterial interactions, signal molecules exuded by the plant affect both primary initiation and subsequent behavior of the bacteria in complex beneficial associations such as biocontrol. However, despite this general acceptance that plant-root exudates have an effect on the resident bacterial populations, very little is still known about the influence of these signals on bacterial gene expression and the roles of genes found to have altered expression in plant-microbial interactions. Analysis of the rhizospheric communities incorporating both established techniques, and recently developed "omic technologies" can now facilitate investigations into the molecular basis underpinning the establishment of beneficial plant-microbial interactomes in the rhizosphere. The understanding of these signaling processes, and the functions they regulate, is fundamental to understanding the basis of beneficial microbial-plant interactions, to overcoming existing limitations, and to designing improved strategies for the development of novel Pseudomonas biocontrol strains.

Bacterial Physiological Phenomena↗
PubMed2004

The future of motor neuron disease: the challenge is in the genes.

Adult-onset motor neuron disease (MND) includes sporadic and familial forms of amyotrophic lateral sclerosis (ALS), lower motor neuron disease including progressive and segmental spinal muscular atrophy (LMND) and primary lateral sclerosis (PLS). ALS/MND can be considered to be a spectrum of neurodegenerative diseases characterised by a preferential degeneration of upper and/or lower motor neurons. ALS and LMND have a complex multifactorial aetiology and a large clinical variability. This combination warrants an increasing genomics approach in future research. Genomics is the structural and functional study of genomes--i. e. the complete set of chromosomes and the genes they contain. Several methods may help to understand gene functions, and every method has led to its own "omics". The study of the complex relationship between on the one hand genomics data, transcriptomics data, proteomics data, and interactomics data and on the other hand the phenotype, is called "phenomics". In phenomics, the extensive and detailed phenotyping by the clinician is a prerequisite for meaningful associations. As a consequence, in ALS/MND clinicians have the task to agree about different clinical subtypes in order to make these associations and hence to gain further insight into the complex pathogenesis and identification of diagnostic markers in ALS/MND. Also, several new approaches in the treatment of ALS/MND are here discussed, including the viral delivery of protective compounds, RNA-interference, and stem cell therapy. Further, we argue that a future challenge is to allow for patients to have early access to multidisciplinary centres with specialist knowledge of ALS/MND. These centres can apply specific models of care for people with ALS/MND, but must be designed in a patient-centred format. Ultimately, these models should be assessed according to their outcomes.

Forecasting↗
PubMed2006

Protein interaction networks in plants.

Protein-protein interactions are fundamental to virtually every aspect of cellular functions. With the development of high-throughput technologies of both the yeast two-hybrid system and tandem mass spectrometry, genome-wide protein-linkage mapping has become a major objective in post-genomic research. While at least partial "interactome" networks of several model organisms are already available, in the plant field, progress in this respect is slow. However, even with comprehensive protein interaction data still missing, substantial recent advance in the graph-theoretical functional interpretation of complex network architectures might pave the way for novel approaches in plant research. This article reviews current progress and discussions in network biology. Emphasis is put on the question of what can be learned about protein functions and cellular processes by studying the topology of complex protein interaction networks and the evolutionary mechanisms underlying their development. Particularly the intermediate and local levels of network organization--the modules, motifs and cliques--are increasingly recognized as the operational units of biological functions. As demonstrated by some recent results from systematic analyses of plant protein families, protein interaction networks promise to be a valuable tool for a molecular understanding of functional specificities and for identifying novel regulatory components and pathways.

Biological Evolution↗
PubMed2003

Identification of proteins that interact with two regulators of appressorium development, adenylate cyclase and cAMP-dependent protein kinase A, in the rice blast fungus Magnaporthe grisea.

Adenylate cyclase (MAC1) and the catalytic subunit of cAMP-dependent protein kinase A (CPKA) are required for appressorium development and pathogenesis in the rice blast pathogen Magnaporthe grisea. To identify new components in the cAMP signal transduction pathway, we used the yeast two-hybrid system to screen MAC1 and CPKA against an appressorium cDNA library. The cDNA library was constructed by GATEWAY recombinational cloning, enabling transfer of the library to various alternative vectors. The protein phosphatase domain in MAC1, which is unique to fungal adenylate cyclases, interacted with a MAP kinase kinase and a Ser/Thr kinase. Interactions of MAC1 with the kinases may prove to be part of feedback loops between the corresponding signaling pathways. A predicted membrane protein, ACI1, which is highly expressed under conditions that are conducive to appressorium formation, also interacted with MAC1. ACI1 has an extracellular domain containing eight-cysteines, which is also present in other fungal proteins implicated in pathogenesis. The N-terminal half of CPKA, which includes a glutamine-rich sequence unique to a group of fungal sequences, interacted with a putative transcriptional regulator and two different glycosyl hydrolases. Phosphorylation motifs in these sequences suggest that they could be CPKA substrates. The protein interaction assay employed here can now be scaled up to identify interactions between a larger set of proteins in the M. grisea interactome.

Adenylyl Cyclases↗
PubMed2006

Direct measurement of VDAC-actin interaction by surface plasmon resonance.

VDAC--a mitochondrial channel involved in the control of aerobic metabolism and apoptosis--interacts in vitro and in vivo with a wide repertoire of proteins including cytoskeletal elements. A functional interaction between actin and Neurospora crassa VDAC was reported, excluding other VDAC isoforms. From a recent genome-wide screen of the VDAC interactome, we found that human actin is a putative ligand of yeast VDAC. Since such interaction may have broader implications for various mitochondrial processes, we probed it with Surface Plasmon Resonance (SPR) technology using purified yeast VDAC (YVDAC) and rabbit muscle G-actin (RGA). We show that RGA binds to immobilized YVDAC in a reversible and dose-dependent manner with saturating kinetics and an apparent K(D) of 50 microg/ml (1.2 microM actin). BSA does not bind VDAC regardless of the concentrations. Alternatively, VDAC binds similarly to immobilized RGA but without saturating kinetics. VDAC being known to interact with itself, this latter interaction was directly measured to interpret the RGA signals. VDAC could bind to VDAC without saturating kinetics as expected if higher order binding occurred, and could account for maximally 66% of the non-saturating behavior of VDAC binding onto RGA. Hence, actin-VDAC interactions are not a species-specific oddity and may be a more general phenomenon, the role of which ought to be further investigated.

Actins↗
PubMed2006

Dissecting the ubiquitin pathway by mass spectrometry.

Protein modification by ubiquitin is a central regulatory mechanism in eukaryotic cells. Recent proteomics developments in mass spectrometry enable systematic analysis of cellular components in the ubiquitin pathway. Here, we review the advances in analyzing ubiquitinated substrates, determining modified lysine residues, quantifying polyubiquitin chain topologies, as well as profiling deubiquitinating enzymes based on the activity. Moreover, proteomic approaches have been developed for probing the interactome of proteasome and for identifying proteins with ubiquitin-binding domains. Similar strategies have been applied on the studies of the modification by ubiquitin-like proteins as well. These strategies are discussed with respect to their advantages, limitations and potential improvements. While the utilization of current methodologies has rapidly expanded the scope of protein modification by the ubiquitin family, a more active role is anticipated in the functional studies with the emergence of quantitative mass spectrometry.

Animals↗
PubMed2006

Twin-arginine translocase may have a role in the chaperone function of NarJ from Escherichia coli.

NarJ is a chaperone involved in folding, maturation, and molybdenum cofactor insertion of nitrate reductase A from Escherichia coli. It has also been shown that NarJ exhibits sequence homology to a family of chaperones involved in maturation and cofactor insertion of E. coli redox enzymes that are mediated by twin-arginine translocase (Tat) dependent translocation. In this study, we show that NarJ binds the N-terminal region of NarG through Far Western studies and isothermal titration calorimetry, and the binding event occurs towards a short peptide sequence that contains a homologous twin-arginine motif. Fractionation experiments also show that the interaction of NarJ to the cytoplasmic membrane exhibits Tat-dependence. Upon further investigation through Far Western blots, the interactome of NarJ also exhibits Tat-dependence. Together the data suggest that the Tat system may play a role in the maturation pathway of nitrate reductase A.

Amino Acid Sequence↗
PubMed2026

Proteome-wide structural and interaction analysis using cross-linking mass spectrometry and its applications.

Deciphering the mechanisms of protein-protein interactions (PPIs) and protein structural changes within the native cellular environment is crucial for advancing drug discovery. In vivo chemical cross-linking coupled with mass spectrometry (XL-MS) captures weak, transient, and higher-order interactions that are often dysregulated under altered physiological conditions and remain challenging to detect using conventional methods. Applications of in vivo XL-MS range from targeted mapping of PPIs to large-scale identification of interactome networks within the cells. The integration of quantitative approaches further facilitates comparison across different physiological conditions. The recent incorporation of machine learning (ML) tools into XL-MS workflows is transforming the depth and efficiency of this technology. AI-driven algorithms now enable more accurate identification of cross-linked peptides and the mapping of interaction topologies. Furthermore, the synergistic coupling of in vivo XL-MS data with AI-assisted structural modeling platforms such as AlphaFold allows dynamic and high-throughput prediction of protein networks. This review discusses the broader applications of in vivo XL-MS in complex biological samples, ranging from organelles and cells to whole tissues, and highlights how AI integration is expanding structural biology toward a systems-level understanding of proteome architecture.

Mass Spectrometry↗
PubMed2006

Regulation of Par6 by extracellular signals.

The critical regulator of polarity, Par6, is a key member of a multi-component polarity complex that controls a variety of cellular processes such as asymmetric cell division, establishment of epithelial apico-basal polarity, and polarized cell migration. Recently, we have come to understand how regulation of the Par6 interactome by extracellular cues such as integrin and transforming growth factor beta signalling regulates cell motility and tight junction dissolution. These studies have begun to elucidate how signalling to the polarity complex might regulate pathological processes such as tumour cell invasion and metastasis.

Animals↗
PubMed2006

A protein-protein interaction network for human inherited ataxias and disorders of Purkinje cell degeneration.

Many human inherited neurodegenerative disorders are characterized by loss of balance due to cerebellar Purkinje cell (PC) degeneration. Although the disease-causing mutations have been identified for a number of these disorders, the normal functions of the proteins involved remain, in many cases, unknown. To gain insight into the function of proteins involved in PC degeneration, we developed an interaction network for 54 proteins involved in 23 inherited ataxias and expanded the network by incorporating literature-curated and evolutionarily conserved interactions. We identified 770 mostly novel protein-protein interactions using a stringent yeast two-hybrid screen; of 75 pairs tested, 83% of the interactions were verified in mammalian cells. Many ataxia-causing proteins share interacting partners, a subset of which have been found to modify neurodegeneration in animal models. This interactome thus provides a tool for understanding pathogenic mechanisms common for this class of neurodegenerative disorders and for identifying candidate genes for inherited ataxias.

Animals↗
PubMed2006

The ataxia-ome: connecting disease proteins of the cerebellum.

In this issue of Cell, Lim et al. (2006) describe a protein-protein interaction network for inherited human ataxias, a group of diseases characterized by degeneration of cerebellar Purkinje cells. This protein interactome shows that the cerebellar ataxias not only share clinical and pathological characteristics but also have proteins, processes, and pathways in common.

Animals↗
PubMed2006

Hsp90 cochaperone Aha1 downregulation rescues misfolding of CFTR in cystic fibrosis.

The pathways that distinguish transport of folded and misfolded cargo through the exocytic (secretory) pathway of eukaryotic cells remain unknown. Using proteomics to assess global cystic fibrosis (CF) transmembrane conductance regulator (CFTR) protein interactions (the CFTR interactome), we show that Hsp90 cochaperones modulate Hsp90-dependent stability of CFTR protein folding in the endoplasmic reticulum (ER). Cell-surface rescue of the most common disease variant that is restricted to the ER, DeltaF508, can be initiated by partial siRNA silencing of the Hsp90 cochaperone ATPase regulator Aha1. We propose that failure of DeltaF508 to achieve an energetically favorable fold in response to the steady-state dynamics of the chaperone folding environment (the "chaperome") is responsible for the pathophysiology of CF. The activity of cargo-associated chaperome components may be a common mechanism regulating folding for ER exit, providing a general framework for correction of misfolding disease.

Animals↗
PubMed2006

CFTR: new members join the fold.

The folding, misfolding, and degradation of membrane proteins is controlled by multiple processes within the cell. In this issue of Cell, Wang et al. (2006) present an interactome for CFTR, the chloride channel that is misfolded and prematurely degraded in cystic fibrosis. Among the proteins interacting with CFTR is a new member of the Hsp90 chaperone system, Aha1, that plays a central role in CFTR folding.

Animals↗
PubMed2026

3D chromatin remodeling during domestication defines novel targets for crop improvement.

Three-dimensional (3D) genome folding shapes gene regulation, yet the genetic underpinnings linking 3D genome evolution to phenotypic innovation during domestication remain elusive. Using population-scale Hi-C profiling of 34 semi-wild and 267 cultivated allotetraploid cottons, we generated a pan-3D genome atlas capturing extensive diversity in topologically associating domains (TADs) and chromatin loops. Chromatin interactome-wide association studies identified 105 TAD reconfigurations and 58 loop rewirings that were established as the 3D chromatin basis of fiber quality, boosting heritability estimates for fiber strength by 16% and fiber length by 20%. We reveal that domestication selection within sequence-defined sweeps fixed 57% of 3D conformation signatures, thereby decoupling sequence-level from chromatin-level selection and shifting the subgenome expression balance of 39 homoeologs in cultivated cotton. Sequence-based modeling and mutational analyses identified the C2H2 zinc-finger protein YY1 as a conserved mediator of 3D genome organization. This study provides a resource for redefining precision-breeding paradigms by harnessing cryptic 3D chromatin targets.

3D genome↗