Defining 3D residue environment in protein structures using SCORPION and FORMIGA

SUMMARY: Two web-based applications to analyze amino acids three-dimensional (3D) local environment within protein structures-SCORPION and FORMIGA-are presented. SCORPION and FORMIGA produce a graphical presentation for simple statistical data showing the frequency of residue occurrence within a given sphere (defined here as the 3D contacts). The center of that sphere is placed at the Calpha and at the last heavy atom in the side chain of the selected amino acid. Further depth of detail is given in terms of a secondary structure to which the profiled amino acid belongs. Results obtained with those two applications are relevant for estimating the importance of the amino acid 3D local environment for protein folding and stability. Effectively, SCORPION and FORMIGA construct knowledge-based force fields. The difference between SCORPION and FORMIGA is in that the latter operates on protein interfaces, while the former only functions for a single protein chain. Both applications are implemented as stand-alone components of STING Millennium Suite. AVAILABILITY: http://sms.cbi.cnptia.embrapa.br/SMS, http://trantor.bioc.columbia.edu/SMS, http://mirrors.rcsb.org/SMS, http://www.es.embnet.org/SMS and http://www.ar.embnet.org/SMS. [options: Scorpion, Formiga]     

ConSSeq: a web-based application for analysis of amino acid conservation based on HSSP database and within context of structure

SUMMARY: A web-based application to analyze protein amino acids conservation-Consensus Sequence (ConSSeq) is presented. ConSSeq graphically represents information about amino acid conservation based on sequence alignments reported in homology-derived structures of proteins. Beyond the relative entropy for each position in the alignment, ConSSeq also presents the consensus sequence and information about the amino acids, which are predominant at each position of the alignment. ConSSeq is part of the STING Millennium Suite and is implemented as a Java Applet. AVAILABILITY: http://sms.cbi.cnptia.embrapa.br/SMS/STINGm/consseq/, http://trantor.bioc.columbia.edu/SMS/STINGm/consseq/, http://mirrors.rcsb.org//SMS/STINGm/consseq/, http://www.es.embnet.org/SMS/STINGm/consseq/ and http://www.ar.embnet.org/SMS/STINGm/consseq/     

The Star STING server: a multiplatform environment for protein structure analysis

Star STING is the latest version of the STING suite of programs and corresponding database. We report on five important aspects of this package that have acquired some new characteristics, designed to add key advantages to the whole suite: 1) availability for most popular platforms and browsers, 2) introduction of the STING_DB quality assessment, 3) improvement in algorithms for calculation of three STING parameters, 4) introduction of five new STING modules, and 5) expansion of the existing modules. Star STING is freely accessible at: http://sms.cbi.cnptia.embrapa.br/SMS/, http://trantor.bioc.columbia.edu/SMS, http://www.es.embnet.org/SMS/, http://gibk26.bse.kyutech.ac.jp/SMS/ and http://www.ar.embnet.org/SMS.     

STING Millennium: A web-based suite of programs for comprehensive and simultaneous analysis of protein structure and sequence

STING Millennium Suite (SMS) is a new web-based suite of programs and databases providing visualization and a complex analysis of molecular sequence and structure for the data deposited at the Protein Data Bank (PDB). SMS operates with a collection of both publicly available data (PDB, HSSP, Prosite) and its own data (contacts, interface contacts, surface accessibility). Biologists find SMS useful because it provides a variety of algorithms and validated data, wrapped-up in a user friendly web interface. Using SMS it is now possible to analyze sequence to structure relationships, the quality of the structure, nature and volume of atomic contacts of intra and inter chain type, relative conservation of amino acids at the specific sequence position based on multiple sequence alignment, indications of folding essential residue (FER) based on the relationship of the residue conservation to the intra-chain contacts and Calpha-Calpha and Cbeta-Cbeta distance geometry. Specific emphasis in SMS is given to interface forming residues (IFR)-amino acids that define the interactive portion of the protein surfaces. SMS may simultaneously display and analyze previously superimposed structures. PDB updates trigger SMS updates in a synchronized fashion. SMS is freely accessible for public data at http://www.cbi.cnptia.embrapa.br, http://mirrors.rcsb.org/SMS and http://trantor.bioc.columbia.edu/SMS.     

Swiss EMBnet node web server

EMBnet is a consortium of collaborating bioinformatics groups located mainly within Europe (http://www.embnet.org). Each member country is represented by a 'node', a group responsible for the maintenance of local services for their users (e.g. education, training, software, database distribution, technical support, helpdesk). Among these services a web portal with links and access to locally developed and maintained software is essential and different for each node. Our web portal targets biomedical scientists in Switzerland and elsewhere, offering them access to a collection of important sequence analysis tools mirrored from other sites or developed locally. We describe here the Swiss EMBnet node web site (http://www.ch.embnet.org), which presents a number of original services not available anywhere else.     

Advances in cell-free protein array methods

Introduction: Cell-free protein microarrays represent a special form of protein microarray which display proteins made fresh at the time of the experiment, avoiding storage and denaturation. They have been used increasingly in basic and translational research over the past decade to study protein-protein interactions, the pathogen-host relationship, post-translational modifications, and antibody biomarkers of different human diseases. Their role in the first blood-based diagnostic test for early stage breast cancer highlights their value in managing human health. Cell-free protein microarrays will continue to evolve to become widespread tools for research and clinical management.

Areas covered: We review the advantages and disadvantages of different cell-free protein arrays, with an emphasis on the methods that have been studied in the last five years. We also discuss the applications of each microarray method.

Expert commentary: Given the growing roles and impact of cell-free protein microarrays in research and medicine, we discuss: 1) the current technical and practical limitations of cell-free protein microarrays; 2) the biomarker discovery and verification pipeline using protein microarrays; and 3) how cell-free protein microarrays will advance over the next five years, both in their technology and applications.     

Tyrosine-phosphorylation of the scaffold protein ADAP and its role in T cell signaling

Introduction: The Adhesion and Degranulation promoting Adaptor Protein (ADAP) is phosphorylated upon T cell activation and acts as a scaffold for the formation of a signaling complex that integrates molecular interactions between T cell or chemokine receptors, the actin cytoskeleton, and integrin-mediated cellular adhesion and migration.

Areas covered: This article reviews current knowledge of the functions of the adapter protein ADAP in T cell signaling with a focus on the role of individual phosphotyrosine (pY) motifs for SH2 domain mediated interactions. The data presented was obtained from literature searches (PubMed) as well as the authors own research on the topic.

Expert commentary: ADAP can be regarded as a paradigmatic example of how tyrosine phosphorylation sites serve as dynamic interaction hubs. Molecular crowding at unstructured and redundant sites (pY595, pY651) is contrasted by more specific interactions enabled by the three-dimensional environment of a particular phosphotyrosine motif (pY571).     

Hydrogen deuterium exchange mass spectrometry applied to chaperones and chaperone-assisted protein folding

Introduction: Hydrogen–deuterium exchange (HDX) mass spectrometry (MS) is ideal for monitoring the protein folding and unfolding. The exchange of a deuterium in solution for an amide hydrogen in a protein can be very different depending on the degree of folding and protection of backbone amide positions. Molecular chaperones that assist with protein folding in vivo are necessary for folding of many substrate (client) proteins. HDX MS provides valuable insight into what chaperones are doing in protein folding and how they are doing it.

Areas covered: Application of HDX MS to the protein folding problem was desirable from the outset of the technique, but technical issues prohibited many studies. In the last 20 years, conformational changes of chaperones themselves (e.g., GroEL/GroES, Hsp70, and Hsp90) have been studied. Studies of interactions between chaperones, co-chaperones, and substrate proteins have revealed binding interfaces, allosteric conformational changes, and remodeling of components during various chaperone cycles. Experiments elucidating how chaperones contribute to and enhance the folding pathway of substrate proteins have been demonstrated.

Expert opinion: Technical issues that once prevented the analysis of chaperones have largely been resolved, permitting exciting comprehensive HDX MS studies of folding pathways during chaperone-assisted protein folding.     

MPIDB: the microbial protein interaction database

SUMMARY: The microbial protein interaction database (MPIDB) aims to collect and provide all known physical microbial interactions. Currently, 22,530 experimentally determined interactions among proteins of 191 bacterial species/strains can be browsed and downloaded. These microbial interactions have been manually curated from the literature or imported from other databases (IntAct, DIP, BIND, MINT) and are linked to 24,060 experimental evidences (PubMed ID, PSI-MI methods). In contrast to these databases, interactions in MPIDB are further supported by 8150 additional evidences based on interaction conservation, co-purification and 3D domain contacts (iPfam, 3did). AVAILABILITY: http://www.jcvi.org/mpidb/     

Advances in the development of human protein microarrays

Introduction: High-content protein microarrays in principle enable the functional interrogation of the human proteome in a broad range of applications, including biomarker discovery, profiling of immune responses, identification of enzyme substrates, and quantifying protein-small molecule, protein-protein and protein-DNA/RNA interactions. As with other microarrays, the underlying proteomic platforms are under active technological development and a range of different protein microarrays are now commercially available. However, deciphering the differences between these platforms to identify the most suitable protein microarray for the specific research question is not always straightforward.

Areas covered: This review provides an overview of the technological basis, applications and limitations of some of the most commonly used full-length, recombinant protein and protein fragment microarray platforms, including ProtoArray Human Protein Microarrays, HuProt Human Proteome Microarrays, Human Protein Atlas Protein Fragment Arrays, Nucleic Acid Programmable Arrays and Immunome Protein Arrays.

Expert commentary: The choice of appropriate protein microarray platform depends on the specific biological application in hand, with both more focused, lower density and higher density arrays having distinct advantages. Full-length protein arrays offer advantages in biomarker discovery profiling applications, although care is required in ensuring that the protein production and array fabrication methodology is compatible with the required downstream functionality.     

Global profiling of protein complexes: current approaches and their perspective in biomedical research

Introduction: Despite the rapid evolution of proteomic methods, protein interactions and their participation in protein complexes – an important aspect of their function – has rarely been investigated on the proteome-wide level. Disease states, such as muscular dystrophy or viral infection, are induced by interference in protein-protein interactions within complexes. The purpose of this review is to describe the current methods for global complexome analysis and to critically discuss the challenges and opportunities for the application of these methods in biomedical research.

Areas covered: We discuss advancements in experimental techniques and computational tools that facilitate profiling of the complexome. The main focus is on the separation of native protein complexes via size exclusion chromatography and gel electrophoresis, which has recently been combined with quantitative mass spectrometry, for a global protein-complex profiling. The development of this approach has been supported by advanced bioinformatics strategies and fast and sensitive mass spectrometers that have allowed the analysis of whole cell lysates. The application of this technique to biomedical research is assessed, and future directions are anticipated.

Expert commentary: The methodology is quite new, and has already shown great potential when combined with complementary methods for detection of protein complexes.     

Mass spectrometry-based proteomic exploration of the human immune system: focus on the inflammasome,global protein secretion,and T cells

Introduction: The immune system is our defense system against microbial infections and tissue injury, and understanding how it works in detail is essential for developing drugs for different diseases. Mass spectrometry-based proteomics can provide in-depth information on the molecular mechanisms involved in immune responses.

Areas covered: Summarized are the key immunology findings obtained with MS-based proteomics in the past five years, with a focus on inflammasome activation, global protein secretion, mucosal immunology, immunopeptidome and T cells. Special focus is on extracellular vesicle-mediated protein secretion and its role in immune responses.

Expert commentary: Proteomics is an essential part of modern omics-scale immunology research. To date, MS-based proteomics has been used in immunology to study protein expression levels, their subcellular localization, secretion, post-translational modifications, and interactions in immune cells upon activation by different stimuli. These studies have made major contributions to understanding the molecular mechanisms involved in innate and adaptive immune responses. New developments in proteomics offer constantly novel possibilities for exploring the immune system. Examples of these techniques include mass cytometry and different MS-based imaging approaches which can be widely used in immunology.     

The story of protein arginine methylation: characterization,regulation, and function

Introduction: Arginine methylation is an important post-translational modification (PTM) in cells, which is catalyzed by a group of protein arginine methyltransferases (PRMTs). It plays significant roles in diverse cellular processes and various diseases. Misregulation and aberrant expression of PRMTs can provide potential biomarkers and therapeutic targets for drug discovery.

Areas covered: Herein, we review the arginine methylation literature and summarize the methodologies for the characterization of this modification, as well as describe the recent insights into arginine methyltransferases and their biological functions in diseases.

Expert commentary: Benefits from the enzyme-based large-scale screening approach, the novel affinity enrichment strategies, arginine methylated protein family is the focus of attention. Although a number of arginine methyltransferases and related substrates are identified, the catalytic mechanism of different types of PRMTs remains unclear and few related demethylases are characterized. Novel functional studies continuously reveal the importance of this modification in the cell cycle and diseases. A deeper understanding of arginine methylated proteins, modification sites, and their mechanisms of regulation is needed to explore their role in life processes, especially their relationship with diseases, thus accelerating the generation of potent, selective, cell-penetrant drug candidates.     

Methodological approaches and insights on protein aggregation in biological systems

Introduction: The proper folding of native proteins is critical and dynamic, but inherently unstable. Therefore, proteins eventually end up adopting misfolded conformations which compromise their function and may even trigger aggregation. Risk factors for neurodegenerative, metabolic and heart diseases compromise cellular protein quality-control systems, promoting protein aggregation. Multiple protein post-translational modifications dynamically regulate protein aggregation and disaggregation in a very complex, intricate and delicate balance.

Areas covered: Herein, we overview the more promising techniques and approaches for the elucidation of the biological implications of protein aggregation. The particular insights provided by different techniques were discriminated and several examples of post-translational modifications together with their targets were pooled and critically discussed, representing promising future therapeutic targets.

Expert commentary: In the years to come, differences between physiological and pathological protein aggregation will certainly become easier to determine. Techniques such as hydrogen/deuterium exchange, circular dichroism spectroscopy and novel mass spectrometry-based approaches are being optimized and are expected to introduce inhibitors of protein aggregation into the clinic. However, protein aggregation is not an isolated phenomenon, but rather influenced by multiple cellular components which complete knowledge is still far.     

Nutritional status,energy expenditure,and protein oxidative stress after kidney transplantation

Objectives: To evaluate the association between nutritional status, resting energy expenditure (REE), and protein oxidative stress in patients after kidney transplantation (KT).

Methodology: The study evaluated 35 patients transplanted at the time of hospital discharge and 3 months after regarding: body composition, REE (by indirect calorimetry), and injury factor (IF); serum urea, creatinine, glucose, albumin, total protein, advanced oxidation protein products (AOPP), vitamin C.

Results: Three months after discharge, there was an improvement in renal function, nutritional status, and oxidative stress, with a standardization in the REE/kg. There was an increase in body weight, mainly in fat mass. The correlations showed that a greater cold ischemia time resulted in a deeper decline in vitamin C; a longer hospital length stay resulted in a greater reduction in AOPP; the higher preoperative body weight showed greater increases in body fat and glucose after transplantation. For decreases in REE and IF, there were increases in total protein. Finally, at hospital discharge there was a greater gain in weight, lower albumin, and total protein among individuals who had rejection episodes.

Discussion: The KT improves many of metabolic abnormalities, with the improvement of nutritional status, oxidative stress, and normalization of REE.     

Protein complexes,big data,machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networks

Overview: Elucidation of the networks of physical (functional) interactions present in cells and tissues is fundamental for understanding the molecular organization of biological systems, the mechanistic basis of essential and disease-related processes, and for functional annotation of previously uncharacterized proteins (via guilt-by-association or -correlation). After a decade in the field, we felt it timely to document our own experiences in the systematic analysis of protein interaction networks.

Areas covered: Researchers worldwide have contributed innovative experimental and computational approaches that have driven the rapidly evolving field of ‘functional proteomics’. These include mass spectrometry-based methods to characterize macromolecular complexes on a global-scale and sophisticated data analysis tools – most notably machine learning – that allow for the generation of high-quality protein association maps.

Expert commentary: Here, we recount some key lessons learned, with an emphasis on successful workflows, and challenges, arising from our own and other groups’ ongoing efforts to generate, interpret and report proteome-scale interaction networks in increasingly diverse biological contexts.     

Validation of a protein panel for the noninvasive detection of recurrent non-muscle invasive bladder cancer

Context: About 50–70% of patients with non-muscle invasive bladder cancer (NMIBC) experience relapse of disease.

Objective: To establish a panel of protein biomarkers incorporated in a multiplexed microarray (BCa chip) and a classifier for diagnosing recurrent NMIBC.

Materials and methods: Urine samples from 45 patients were tested. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis.

Results: A multi biomarker panel (ECadh, IL8, MMP9, EN2, VEGF, past recurrences, BCG therapies and stage at diagnosis) was identified yielding an area under the curve of 0.96.

Discussion and conclusion: This biomarker panel represents a potential diagnostic tool for noninvasive diagnosis of recurrent NMIBC.     

Identification of circulating protein biomarkers in patients with hepatocellular carcinoma concomitantly infected with chronic hepatitis C virus

Context: The incidence rate of hepatocellular carcinoma (HCC) is higher in developing countries, and most cases are associated with chronic hepatitis C virus (HCV) infection.

Objective: To evaluate the circulating proteins as liver biomarkers for the identification of HCC associated with HCV infection in Egyptian patients using LC-MS/MS analysis.

Methods: Blood sera were collected from 31 HCC patients and the fractionated proteins were subjected to LC-MS/MS analysis. Protein candidates were validated by enzyme-linked immunosorbent assay (ELISA).

Results: Thirty-three proteins were significantly identified in the sera of HCC patients with persistent HCV infection. These proteins are involved in several biological processes including acute phase response, complement activation, hemostasis process and lipid metabolism. The level of lectin galactoside-binding soluble 3 binding protein (LGALS3BP), Kininogen-1 (KNG1), serum amyloid A2 (SAA2) and paraoxonase 1 (PON1) and alpha-fetoprtoein (AFP) were elevated in serum.

Conclusion: In HCC patients with chronic HCV infection, we identified a group of differentially expressed circulating proteins involved in regulating different cellular mechanisms.