Unraveling pancreatic islet biology by quantitative proteomics

The pancreatic islets of Langerhans play a critical role in maintaining blood glucose homeostasis by secreting insulin and several other important peptide hormones. Impaired insulin secretion due to islet dysfunction is linked to the pathogenesis underlying both Type 1 and Type 2 diabetes. Over the past 5 years, emerging proteomic technologies have been applied to dissect the signaling pathways that regulate islet functions and gain an understanding of the mechanisms of islet dysfunction relevant to diabetes. Herein, we briefly review some of the recent quantitative proteomic studies involving pancreatic islets geared towards gaining a better understanding of islet biology relevant to metabolic diseases.     

Translational plant proteomics: a perspective

Translational proteomics is an emerging sub-discipline of the proteomics field in the biological sciences. Translational plant proteomics aims to integrate knowledge from basic sciences to translate it into field applications to solve issues related but not limited to the recreational and economic values of plants, food security and safety, and energy sustainability. In this review, we highlight the substantial progress reached in plant proteomics during the past decade which has paved the way for translational plant proteomics. Increasing proteomics knowledge in plants is not limited to model and non-model plants, proteogenomics, crop improvement, and food analysis, safety, and nutrition but to many more potential applications. Given the wealth of information generated and to some extent applied, there is the need for more efficient and broader channels to freely disseminate the information to the scientific community. This article is part of a Special Issue entitled: Translational Proteomics.     

Information management for proteomics: a perspective

Proteomics is a data-rich discipline that makes extensive use of separation tools, mass spectrometry and bioinformatics to analyze and interpret the features and dynamics of the proteome. A major challenge for the field is how proteomics data can be stored and managed, such that data become permanent and can be mined with current and future tools. This article details our experience in the development of a commercial proteomic information management system. We identify the challenges faced in data acquisition, workflow management, data permanence, security, data interpretation and analysis, as well as the solutions implemented to address these issues. We finally provide a perspective on data management in proteomics and the implications for academic and industry-based researchers working in this field.     

Information management for proteomics: a perspective

Proteomics is a data-rich discipline that makes extensive use of separation tools, mass spectrometry and bioinformatics to analyze and interpret the features and dynamics of the proteome. A major challenge for the field is how proteomics data can be stored and managed, such that data become permanent and can be mined with current and future tools. This article details our experience in the development of a commercial proteomic information management system. We identify the challenges faced in data acquisition, workflow management, data permanence, security, data interpretation and analysis, as well as the solutions implemented to address these issues. We finally provide a perspective on data management in proteomics and the implications for academic and industry-based researchers working in this field.     

Probing small molecule-protein interactions: A new perspective for functional proteomics

The isolation of proteome subsets on the basis of the interactions of small molecules with proteins is an emerging paradigm in proteomics. Depending on the nature of the small molecule used as a bait, entire protein families can be monitored in biological samples, or new functions can be attributed to previously uncharacterized proteins. With pharmaceutical compounds as baits, drug targets and toxicity-relevant off-targets can be discovered in an unbiased proteomic screen. At the heart of this strategy are synthetic bi- or trifunctional small molecule probes. These probes carry the small molecules of interest as baits (selectivity function), as well as a sorting function for the isolation of small molecule-protein complexes or conjugates from complex protein mixtures. In some designs, a covalent linkage of the bound protein to the probe is established through a separate reactivity function or a combined selectivity/reactivity function. The covalent linkage allows for isolation or detection of probe-protein conjugates also under harsh or denaturing conditions. Ultimately, specifically isolated proteins are commonly identified by mass spectrometry. This review summarizes probe designs, workflows, and published applications of the three dominant approaches in the field, namely affinity pulldown, activity-based protein profiling, and Capture Compound Mass Spectrometry.     

Unraveling the pathogenesis of type 1 diabetes with proteomics: present and future directions

Type 1 diabetes (T1D) is the result of selective destruction of the insulin-producing beta-cells in the pancreatic islets of Langerhans. T1D is due to a complex interplay between the beta-cell, the immune system, and the environment in genetically susceptible individuals. The initiating mechanism(s) behind the development of T1D are largely unknown, and no genes or proteins are specific for most T1D cases. Different pro-apoptotic cytokines, IL-1 beta in particular, are present in the islets during beta-cell destruction and are able to modulate beta-cell function and induce beta-cell death. In beta-cells exposed to IL-1 beta, a race between destructive and protective events are initiated and in susceptible individuals the deleterious events prevail. Proteins are involved in most cellular processes, and it is thus expected that their cumulative expression profile reflects the specific activity of cells. Proteomics may be useful in describing the protein expression profile and thus the diabetic phenotype. Relatively few studies using proteomics technologies to investigate the T1D pathogenesis have been published to date despite the defined target organ, the beta-cell. Proteomics has been applied in studies of differentiating beta-cells, cytokine exposed islets, dietary manipulated islets, and in transplanted islets. Although that the studies have revealed a complex and detailed picture of the protein expression profiles many functional implications remain to be answered. In conclusion, a rather detailed picture of protein expression in beta-cell lines, islets, and transplanted islets both in vitro and in vivo have been described. The data indicate that the beta-cell is an active participant in its own destruction during diabetes development. No single protein alone seems to be responsible for the development of diabetes. Rather the cumulative pattern of changes seems to be what favors a transition from dynamic stability in the unperturbed beta-cell to dynamic instability and eventually to beta-cell destruction.     

Bacillus thuringiensis: a genomics and proteomics perspective

Bacillus thuringiensis (Bt) is a unique bacterium in that it shares a common place with a number of chemical compounds which are used commercially to control insects important to agriculture and public health. Although other bacteria, including B. popilliae and B. sphaericus, are used as microbial insecticides, their spectrum of insecticidal activity is quite limited compared to Bt. Importantly, Bt is safe for humans and is the most widely used environmentally compatible biopesticide worldwide. Furthermore, insecticidal Bt genes have been incorporated into several major crops, rendering them insect resistant, and thus providing a model for genetic engineering in agriculture.This review highlights what the authors consider the most relevant issues and topics pertaining to the genomics and proteomics of Bt. At least one of the authors (L.A.B.) has spent most of his professional life studying different aspects of this bacterium with the goal in mind of determining the mechanism(s) by which it kills insects. The other authors have a much shorter experience with Bt but their intellect and personal insight have greatly enriched our understanding of what makes Bt distinctive in the microbial world. Obviously, there is personal interest and bias reflected in this article notwithstanding oversight of a number of published studies. This review contains some material not published elsewhere although several ideas and concepts were developed from a broad base of scientific literature up to 2010.     

Unraveling persistent host cell infection with Coxiella burnetii by quantitative proteomics

The interaction between the immune system and invading bacteria is sufficient to eradicate microorganisms for the majority of bacterial infections, but suppression of the microbicidal response leads to reactivation or chronic evolution of infections and to bacterial persistence. To identify the cellular pathways affected by bacterial persistence, we applied the MS-driven combined fractional diagonal chromatography (COFRADIC) proteomics technique for a comparative study of protein expression in the C. burnetii strains Nine Mile (NM) and its respective strain (NMper) isolated from 18 months persistently infected cell cultures. In total, three different proteome comparisons were performed with the total bacterial proteome, potentially secreted bacterial proteins, and the eukaryotic infected proteome being assessed. Our results revealed that among the 547 identified bacterial proteins, 53 had significantly altered levels of expression and indicated potential metabolic differences between the two strains. Regarding differences in the secreted proteins between both strains and different modulation of the host cell, machineries reflect at least large rearrangements of both bacterial and eukaryotic proteomes during the persistent model of infection when compared to the acute one, which emphasizes that C. burnetii orchestrates a vast number of different bacterial and eukaryotic host cell processes to persist within its host.     

2D electrophoresis-based expression proteomics: a microbiologist's perspective

Quantitative proteomics based on 2D electrophoresis (2-DE) coupled with peptide mass fingerprinting is still one of the most widely used quantitative proteomics approaches in microbiology research. Our view on the exploitation of this global expression analysis technique and its contribution and potential to push forward the field of molecular microbial physiology towards a molecular systems microbiology perspective is discussed in this article. The advances registered in 2-DE-based quantitative proteomic analysis leading to increased protein resolution, sensitivity and accuracy, and the promising use of 2-DE to gain insights into post-translational modifications at a proteome-wide level (considering all the proteins/protein forms expressed by the genome) are focused on. Given the progress made in this field, it is foreseen that the 2-DE-based approach to quantitative proteomics will continue to be a fundamental tool for microbiologists working at a genome-wide scale. Guidelines are also provided for the exploitation of expression proteomics data, based on useful computational tools, and for the integration of these data with other genome-wide expression information. The advantages and limitations of a complete 2-DE-based expression proteomics analysis, envisaging the quantification of the global changes occurring in the proteome of a given cell depending on environmental or genetic manipulations, are discussed from the microbiologist's perspective. Particular focus is given to the emerging field of toxicoproteomics, a new systems toxicity approach that offers a powerful tool to directly monitor the earliest stages of the toxicological response by identifying critical proteins and pathways that are affected by, and respond to, a chemical stress. The experimental design and the bioinformatics analysis of data used in our laboratory to gain mechanistic insights through expression proteomics into the responses of the eukaryotic model Saccharomyces cerevisiae or of Pseudomonas strains to environmental toxicants are presented as case studies.     

A potential biomarker of kidney damage identified by proteomics: preliminary findings

4-Aminophenol (4-AP) and d-serine are established rodent nephrotoxins that selectively damage renal proximal tubules. In an attempt to understand the mechanism of action of these toxicants in greater detail, a high throughput proteomics approach was used to profile protein changes in the plasma of animals treated with these compounds. Male Fischer 344 and Alderley Park rats were treated with increasing doses of 4-AP or d-serine and plasma samples were collected over time. Control groups received either saline or the non-toxic enantiomer, l-serine. Using high throughput two-dimensional gel analysis, a number of plasma proteins showing dose- and time-dependent regulation were identified. One toxicity-associated plasma protein was identified as the cellular enzyme fumarylacetoacetate hydrolase (FAH), which is known to be required for tyrosine metabolism. The FAH gene is mutated in the human genetic disorder type I tyrosinaemia, which is associated with liver and kidney abnormalities and neurological disorders. FAH was elevated in the plasma of animals treated with 4-AP and d-serine at early time points and returned to baseline levels after 3 weeks. The protein was not elevated in the plasma of control animals or those treated with l-serine. The presence of FAH in plasma is intriguing as it is normally a cellular enzyme with no known function in plasma. It is possible that 4-AP and d-serine may work through a previously unknown mechanism in the kidney via regulation of tyrosine metabolism or FAH activity. Therefore, FAH may function in a fashion analogous to the aspartate aminotransferase (AST) and alanine aminotransferase (ALT) enzymes that are used to measure liver injury. The link between kidney toxicants and inherited tyrosinaemia also raises the possibility that FAH may be a marker of kidney toxicity in humans. These observations highlight the value of proteomics in identifying new biomarkers and providing new unprecedented insights into complex biological mechanisms.     

A potential biomarker of kidney damage identified by proteomics: preliminary findings

4-Aminophenol (4-AP) and d-serine are established rodent nephrotoxins that selectively damage renal proximal tubules. In an attempt to understand the mechanism of action of these toxicants in greater detail, a high throughput proteomics approach was used to profile protein changes in the plasma of animals treated with these compounds. Male Fischer 344 and Alderley Park rats were treated with increasing doses of 4-AP or d-serine and plasma samples were collected over time. Control groups received either saline or the non-toxic enantiomer, l-serine. Using high throughput two-dimensional gel analysis, a number of plasma proteins showing dose- and time-dependent regulation were identified. One toxicity-associated plasma protein was identified as the cellular enzyme fumarylacetoacetate hydrolase (FAH), which is known to be required for tyrosine metabolism. The FAH gene is mutated in the human genetic disorder type I tyrosinaemia, which is associated with liver and kidney abnormalities and neurological disorders. FAH was elevated in the plasma of animals treated with 4-AP and d-serine at early time points and returned to baseline levels after 3 weeks. The protein was not elevated in the plasma of control animals or those treated with l-serine. The presence of FAH in plasma is intriguing as it is normally a cellular enzyme with no known function in plasma. It is possible that 4-AP and d-serine may work through a previously unknown mechanism in the kidney via regulation of tyrosine metabolism or FAH activity. Therefore, FAH may function in a fashion analogous to the aspartate aminotransferase (AST) and alanine aminotransferase (ALT) enzymes that are used to measure liver injury. The link between kidney toxicants and inherited tyrosinaemia also raises the possibility that FAH may be a marker of kidney toxicity in humans. These observations highlight the value of proteomics in identifying new biomarkers and providing new unprecedented insights into complex biological mechanisms.     

A potential biomarker of kidney damage identified by proteomics: preliminary findings.

4-Aminophenol (4-AP) and D-serine are established rodent nephrotoxins that selectively damage renal proximal tubules. In an attempt to understand the mechanism of action of these toxicants in greater detail, a high throughput proteomics approach was used to profile protein changes in the plasma of animals treated with these compounds. Male Fischer 344 and Alderley Park rats were treated with increasing doses of 4-AP or D-serine and plasma samples were collected over time. Control groups received either saline or the non-toxic enantiomer, L-serine. Using high throughput two-dimensional gel analysis, a number of plasma proteins showing dose- and time-dependent regulation were identified. One toxicity-associated plasma protein was identified as the cellular enzyme fumarylacetoacetate hydrolase (FAH), which is known to be required for tyrosine metabolism. The FAH gene is mutated in the human genetic disorder type I tyrosinaemia, which is associated with liver and kidney abnormalities and neurological disorders. FAH was elevated in the plasma of animals treated with 4-AP and D-serine at early time points and returned to baseline levels after 3 weeks. The protein was not elevated in the plasma of control animals or those treated with L-serine. The presence of FAH in plasma is intriguing as it is normally a cellular enzyme with no known function in plasma. It is possible that 4-AP and D-serine may work through a previously unknown mechanism in the kidney via regulation of tyrosine metabolism or FAH activity. Therefore, FAH may function in a fashion analogous to the aspartate aminotransferase (AST) and alanine aminotransferase (ALT) enzymes that are used to measure liver injury. The link between kidney toxicants and inherited tyrosinaemia also raises the possibility that FAH may be a marker of kidney toxicity in humans. These observations highlight the value of proteomics in identifying new biomarkers and providing new unprecedented insights into complex biological mechanisms.     

Sperm proteomics: potential impact on male infertility treatment

Spermatozoa are unique cells that have highly compact DNA, motility (and hypermotility) patterns, a specific morphology, localized mitochondria and an apical acrosome. They are the end product of a dynamic process termed spermatogenesis. Sperm are therefore produced with specific proteins in order to effect different traits, such as the presence of cysteine-rich protamines in DNA, which effectively compacts DNA. Moreover, specific proteins are transferred during epididymal maturation and after ejaculation in order to render sperm capable of undergoing post-ejaculatory alterations, generally termed capacitation, which confers capacity to fertilize a mature oocyte. In addition, sperm exhibit several post-translational modifications, which are fundamental to their function, such as SUMOylation and ubiquitination. Discussed in this review is the current knowledge of the sperm proteome in terms of its composition and the function that these proteins determine, as well as their post-translational modifications and how these alter sperm functional integrity. Studies are emphasized that focus on shotgun proteomics – untargeted determination of the protein constituent of a cell in a given biological condition – and technologies currently applied toward that end are reviewed.     

A perspective on the biotechnological potential of extremophiles.

It is well recognized that many environments considered by man to be extreme are colonized by microorganisms which are specifically adapted to these ecological niches. A diverse range of bacteria, cyanobacteria, algae and yeasts have been isolated from such habitats and it is now widely accepted that these microorganisms provide a valuable resource not only for exploitation in novel biotechnological processes but also as models for investigating how biomolecules are stabilized when subjected to extreme conditions. This short review summarizes our current state of knowledge of this unique group of microorganisms and their enzymes, and attempts to identify their future biotechnological potential.     

Advances in sperm proteomics: best-practise methodology and clinical potential

The recent application of mass spectrometry to the study of the sperm cell has led to an unprecedented capacity for identification of sperm proteins in a variety of species. Knowledge of the proteins that make up the sperm cell represents the first step towards understanding its normal function and the molecular anomalies associated with male infertility. The present review starts with an introduction of the sperm cell biology and is followed by the consideration of the methodological key aspects to be aware of during sample sourcing and preparation, including data interpretation. It then overviews the initiatives developed so far towards the completion of the sperm proteome, with a particular focus in human but with the inclusion of some comments on different model species. Finally, all studies performing differential proteomics in infertile patients are reviewed, pointing to future potential applications.     

Abundance matters: role of albumin in diabetes,a proteomics perspective

Introduction: Human serum albumin (HSA) is a multifaceted protein with vital physiological functions. It is the most abundant plasma protein with inherent capability to bind to diverse ligands, and thus susceptible to various post-translational modifications (PTMs) which alter its structure and functions. One such PTM is glycation, a non-enzymatic reaction between reducing sugar and protein leading to formation of heterogeneous advanced glycation end products (AGEs). Glycated albumin (GA) concentration increases significantly in diabetes and is implicated in development of secondary complications.

Areas covered: In this review, we discuss in depth, formation of GA and its consequences, approaches used for characterization and quantification of GA, milestones in GA proteomics, clinical relevance of GA as a biomarker, significance of maintaining abundant levels of albumin and future perspectives.

Expert commentary: Elevated GA levels are associated with development of insulin resistance as well as secondary complications, in healthy and diabetic individuals respectively. Mass spectrometry (MS) based approaches aid in precise characterization and quantification of GA including early and advanced glycated peptides, which can be useful in prediction of the disease status. Thus GA has evolved to be one of the best candidates in the pursuit of diagnostic markers for prediction of prediabetes and diabetic complications.