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PubMed2006

Proteomics and its role in nutrition research.

There are approximately 100,000 proteins in humans with various physiological functions. The complement of proteins in the organism as well as their interactions is defined as the proteome. Its analysis (proteomics) by highly specific, sensitive, and accurate MS has been made possible with matrix-assisted laser desorption ionization or electrospray ionization of proteins and large peptides. Currently, the most commonly used proteomics technologies involve either specific digestion of proteins (the bottom-up approach using 2-dimensional polyacrylamide gel electrophoresis and multidimensional protein identification technology) or direct analysis of intact proteins after their chromatographic separation (the top-down approach and surface-enhanced laser desorption ionization). Proteomics holds great promise for discoveries in nutrition research, including profiles and characteristics of dietary and body proteins; digestion, absorption, and metabolism of nutrients; functions of nutrients and other dietary factors in growth, reproduction, and health; biomarkers of the nutritional status and disease; and individualized requirements of nutrients. The proteome analysis is expected to play an important role in solving major nutrition-associated problems in humans and animals, such as obesity, diabetes, cardiovascular disease, cancer, aging, and intrauterine fetal retardation.

Electrophoresis, Polyacrylamide Gel↗
PubMed2002

Identification of novel membrane proteins by searching for patterns in hydropathy profiles.

A technique has been developed to search a proteome database for new members of a functional class of membrane protein. It takes advantage of the highly conserved secondary structure of functionally related membrane proteins. Such proteins typically have the same number of transmembrane domains located at similar relative positions in their polypeptide sequence. This gives rise to a characteristic pattern of peaks in their hydropathy profiles. To conduct a search, each member of a polypeptide database is converted to a hydropathy profile, peaks are automatically detected, and the pattern of peaks is compared with a template. A template was designed for the acetylcholine (ACh) and glycine receptors of the cys-loop receptor superfamily. The key feature was a closely spaced triplet of hydropathy peaks bracketed by deep valleys. When applied to the human proteome the search procedure retrieved 153 profiles with a receptor-like triplet of peaks. The approach was highly selective with 70% of the retrieved profiles annotated as known or putative receptors. These included ACh, glycine, gamma-amino butyric acid and serotonin receptors, which are all related by sequence. However, ionotropic glutamate receptors, which have almost no sequence homology with ACh receptors, were also retrieved. Thus, the strategy can find members of a functional class that cannot be identified by sequence alignment. To demonstrate that the strategy can easily be extended to other membrane protein families, a template was developed for the neurotransmitter/Na+ symporter family, and similar results were obtained. This approach should prove a useful adjunct to sequence-based retrieval tools when searching for novel membrane proteins.

Databases, Protein↗
PubMed2003

Overview of structural genomics: from structure to function.

The unprecedented increase in the number of new protein sequences arising from genomics and proteomics highlights directly the need for methods to rapidly and reliably determine the molecular and cellular functions of these proteins. One such approach, structural genomics, aims to delineate the total repertoire of protein folds, thereby providing three-dimensional portraits for all proteins in a living organism and to infer molecular functions of the proteins. The goal of obtaining protein structures on a genomic scale has motivated the development of high-throughput technologies for macromolecular structure determination, which have begun to produce structures at a greater rate than previously possible. These new structures have revealed many unexpected functional and evolution relationships that were hidden at the sequence level.

Amino Acid Sequence↗
PubMedDate not supplied

Proteomic analysis of rat kidney cortex following treatment with gentamicin.

The regionally specific structure and function of the kidney renders it susceptible to toxic exposure. To characterize these changes at the proteome level, we have investigated the effects on protein expression following treatment with gentamicin. The more than 20 proteins identified were involved in the citric acid cycle, gluconeogenesis, fatty acid synthesis, and transport or cellular stress responses. These results strongly support the notion that energy production is impaired and mitochondrial dysfunction is involved in gentamicin-induced nephrotoxicity.

Animals↗
PubMed2001

Proteomics as a tool in the pharmaceutical drug design process.

Proteomics is a technology platform that is gaining widespread use in drug discovery and drug development programs. Defined as the protein complement of the genome, the proteome is a varied and dynamic repertoire of molecules that in many ways dictates the functional form that is taken by the genome. The importance of proteomics is a direct consequence of the central role that proteins play in establishing the biological phenotype of organisms in healthy and diseased states. Moreover, proteins constitute the vast majority of drug targets against which pharmaceutical drug design processes are initiated. By studying interrelationships between proteins that occur in health and disease and following drug treatment, proteomics contributes important insight that can be used to determine the pathophysiological basis for disease and to study the mechanistic basis for drug action and toxicity. Proteomics is also an effective means to identify biomarkers that have the potential to improve decision making surrounding drug efficacy and safety issues based on data derived from the study of key tissues and the discovery and appropriate utilization of biomarkers.

Chromatography, High Pressure Liquid↗
PubMed2004

Using functional genomics to improve productivity in the manufacture of industrial biochemicals.

Recent developments in the field of functional genomics have been used to increase productivity in the manufacture of industrial biochemicals. Technologies like transcriptomics and proteomics have profited from the increasing number of genome sequencing projects. Meanwhile functional genomics has evolved from several isolated technologies, such as DNA chip technology and proteomics, to combined approaches that can help us to understand why organisms produce a certain product. The combination of expression studies and kinetic studies, such as carbon flux determination or metabolite measurements, has significantly improved productivity in production processes.

Bacteria↗
PubMed2026

Decoding protein signatures and protein interactions in oral potentially malignant disorders: a systematic review and network analysis.

BACKGROUND: Proteomic profiling offers thorough insights into protein structure and function, as well as it acts as an essential approach for analyzing molecular changes at the tissue level. However, because of the proteome's diversity and dynamic nature, biomarker discovery remains challenging. By combining proteomics with bioinformatics, the level of understanding in relation to molecular interactions and disease processes can be improved. Through an integrative approach, few limitations can be addressed, thereby promoting proteomic profiling for the discovery of new therapeutic targets and novel biomarkers for a variety of disorders. AIM: To identify differentially expressed protein markers and their key molecular pathways associated with Oral Potentially Malignant Disorders. METHODS: Systematic Review was conducted following the PRISMA guidelines and the protocol registered in the International Prospective Register of Systematic Reviews (PROSPERO) with the registration ID number CRD42024557545. A comprehensive literature review was performed using electronic databases, yielding 12,797, studies from which 15 eligible articles were selected. The Newcastle-Ottawa Scale was used to assess the risk of bias. Vote counting was performed to identify proteins reported in more than one study. A bipartite network was constructed using Cytoscape to identify shared and disease-specific protein markers. Lesion-wise protein-protein interaction networks were generated using STRING and analysed in Cytoscape to identify highly interconnected hub proteins, and pathway enrichment analysis for these hubs was performed using Reactome. RESULTS: A total of fifteen studies (Leukoplakia (LK) - n = 1, Proliferative Verrucous Leukoplakia (PVL) - n = 2, Oral Submucous Fibrosis (OSMF) - n = 7, and Oral Lichen Planus (OLP) - n = 5) were included. The Newcastle-Ottawa Scale was used to evaluate methodological quality and the quality of studies included in this systematic review was high for 4 articles and moderate in the remaining 11. The most commonly employed technique was mass spectrometry. A total of 318 candidate proteins (LK - 14, PVL - 82, OSMF - 172, and OLP - 50) were identified across the oral potentially malignant disorders. Key markers identified through vote counting included ERO1A, NUCB1, RHOA, and IL36A for PVL; LUM, KRT1, KRT9, ALB, and VIM for OSMF; and ALB, LYZ, HP, HBB, and AMY1A for OLP. The bipartite network showed that OSMF and OLP shared the highest number of proteins, indicating the strongest overlap among lesions. Network analysis further highlighted distinct hub proteins for each lesion: for LK- AMY1A, AMY1B and APOA1; for PVL- CFL1, RHOA and CDC42; for OSMF- HSP90AA1, ENO1 and SERPINA1; and for OLP- HP, B2M, and ORM1. Lesion-specific pathway enrichment revealed that LK was associated with epithelial differentiation, PVL with oncogenic signaling, OSMF with stress-driven fibrosis, and OLP with immune-mediated inflammation. CONCLUSIONS: Proteomic expression offers insights into disease pathogenesis by identifying important molecular changes across OPMDs. However, the majority of biomarkers are still in the exploratory stage due to the considerable variation in lesion types, sample sources, proteomic techniques, and reporting systems. In order to create reliable and clinically applicable biomarkers, future studies should concentrate on combining multi-omics techniques with large-scale, standardized cohorts.

Humans↗
PubMed2006

Delineating signal transduction pathways in smooth muscle through focused proteomics.

This review will outline examples of the authors' focused proteomics approaches to studying signal transduction pathways in smooth muscle. By focusing the use of traditional proteomics techniques with hypothesis-driven selection methods, this approach efficiently addresses the identification of novel elements in a signal transduction pathway of interest. However, focused proteomics serves only as a starting point in the investigation of novel signaling proteins. While focused proteomics studies can suggest the involvement and general biochemical function of a protein in a signaling pathway, these findings must be further investigated and validated. Through the integrated use of focused proteomics with complementary approaches such as genetics, biochemistry and cell physiology, a complete and detailed mechanism of signal transduction can be determined.

Animals↗
PubMed2006

Functional study of hot pepper 26S proteasome subunit RPN7 induced by Tobacco mosaic virus from nuclear proteome analysis.

Two-dimensional gel electrophoresis (2-DE) was applied for the screening of Tobacco mosaic virus (TMV)-induced hot pepper (Capsicum annuum cv. Bugang) nuclear proteins. From differentially expressed protein spots, we acquired the matched peptide mass fingerprint (PMF) data, analyzed by MALDI-TOF MS, from the non-redundant hot pepper EST protein FASTA database using the VEMS 2.0 software. Among six identified nuclear proteins, the hot pepper 26S proteasome subunit RPN7 (CaRPN7) was subjected to further study. The level of CaRPN7 mRNA was specifically increased during incompatible TMV-P(0) interaction, but not during compatible TMV-P(1.2) interaction. When CaRPN7::GFP fusion protein was targeted in onion cells, the nuclei had been broken into pieces. In the hot pepper leaves, cell death was exacerbated and genomic DNA laddering was induced by Agrobacterium-mediated transient overexpression of CaPRN7. Thus, this report presents that the TMV-induced CaRPN7 may be involved in programmed cell death (PCD) in the hot pepper plant.

Amino Acid Sequence↗
PubMed2026

Proteomics as a theranostic compass in BCR::ABL1-negative myeloproliferative neoplasms: Integrating biomarker discovery with therapeutic stratification.

Classic BCR::ABL1-negative myeloproliferative neoplasms (MPNs)-polycythaemia vera, essential thrombocythaemia, and primary myelofibrosis-are clonal haematopoietic stem cell disorders with marked heterogeneity in clinical phenotype, disease trajectory, and therapeutic response. Genomic stratification by driver and cooperating mutations only partially accounts for this variability, leaving gaps in predicting thrombotic risk, fibrotic progression, leukaemic transformation, and treatment benefit. Proteomics bridges this gap by providing function-proximal readouts of protein abundance, post-translational modifications, pathway activity, and intercellular signalling that genomics and transcriptomics cannot capture, positioning it as a theranostic platform in which the same molecular readouts simultaneously inform diagnostic stratification and therapeutic decision-making. We propose a five-stage translational framework spanning from discovery-scale mass spectrometry and affinity-based plasma profiling to targeted validation, multicentre standardisation, and machine learning-integrated clinical panels. Proteomic evidence is synthesised across the following four disease axes: clonal fitness in haematopoietic stem and progenitor cells; bone marrow microenvironmental remodelling and fibrosis; chronic inflammation and thrombosis; and leukaemic transformation. We further describe how phosphoproteomics reveals resistance mechanisms to JAK inhibitors, including AXL-MAPK bypass and PP2A-autophagy-mediated tolerance, and how protein-level biomarkers (BCL2-BCL-XL, RAS-ERK, CAMK2G, and ROCK1/2) can guide individualised therapeutic selection. Affinity-based platforms (Olink PEA and SomaScan) and spatially resolved technologies (CODEX and single-cell proteomics) complement discovery proteomics. At present, however, this evidence base is constrained by small and heterogeneous cohorts, limited cross-platform reproducibility, and a scarcity of independent external validation for candidate protein panels. Realising this vision will require multicentre standardisation, analytically validated panel assays, and prospective clinical studies that translate molecular findings into decision-grade tools for patients with MPNs.

Humans↗
PubMed2001

Proteomics: posttranslational modifications, immune responses and current analytical tools.

The publication of the human genome sequence enables most of the still unknown protein sequences to be added to the current databases. A sequence alone does not, however, give information about the possible expression level of the corresponding protein, neither does it inform about the possible posttranslational modifications, like phosphorylation, glycosylation or changes in individual amino acids. Thus, the human proteome project, a large scale analysis of the functions of gene products, will have an enormous impact on our understanding of the biochemistry of proteins, processes and pathways they are involved in. The diversity in proteins is considerably expanded by various posttranslational modifications. These also pose problems to the investigators, but their careful analysis often pays back because they can reveal important properties in proteins or peptides--like an increased antigenicity leading to (auto)immune responses or an active form of a signaling protein. Immune tolerance usually exists towards self-proteins, but in specific cases it may be broken by posttranslational modifications in the proteins. Novel mass spectrometric, affinity and display techniques offer valuable tools for the large-scale analysis of proteomes. In the present paper we discuss their use for the detection of posttranslational modifications, functional interactions and possible disease-associated abnormalities in proteins.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2004

Microarray and proteomic analysis of brassinosteroid- and gibberellin-regulated gene and protein expression in rice.

Brassinosteroid (BR) and gibberellin (GA) are two groups of plant growth regulators essential for normal plant growth and development. To gain insight into the molecular mechanism by which BR and GA regulate the growth and development of plants, especially the monocot plant rice, it is necessary to identify and analyze more genes and proteins that are regulated by them. With the availability of draft sequences of two major types, japonica and indica rice, it has become possible to analyze expression changes of genes and proteins at genome scale. In this review, we summarize rice functional genomic research by using microarray and proteomic approaches and our recent research results focusing on the comparison of cDNA microarray and proteomic analyses of BR- and GA-regulated gene and protein expression in rice. We believe our findings have important implications for understanding the mechanism by which BR and GA regulate the growth and development of rice.

Gene Expression Profiling↗
PubMed2006

Quantitative proteomics analysis of the secretory pathway.

We report more than 1400 proteins of the secretory-pathway proteome and provide spatial information on the relative presence of each protein in the rough and smooth ER Golgi cisternae and Golgi-derived COPI vesicles. The data support a role for COPI vesicles in recycling and cisternal maturation, showing that Golgi-resident proteins are present at a higher concentration than secretory cargo. Of the 1400 proteins, 345 were identified as previously uncharacterized. Of these, 230 had their subcellular location deduced by proteomics. This study provides a comprehensive catalog of the ER and Golgi proteomes with insight into their identity and function.

Animals↗
PubMed2001

Searching for candidate genes in the new millennium.

Completion of the entire sequence of the human genome is having a profound effect on the strategies biological scientists use to identify disease-associated genes. Laborious positional cloning approaches and traditional functional studies are gradually being transformed by emerging genomic and proteomic databases. Some of the exciting challenges investigators now face are the identification of new genes, determining the function of these genes, defining disease associations, and elucidating correlation between genotype and phenotype. To demonstrate how investigative methods for single-gene disorders are changing, we illustrate one possible approach in the search for the gene underlying the autosomal recessive genodermatosis, acrodermatitis enteropathica.

Acrodermatitis↗
PubMed2000

Proteomics: a powerful tool in the post-genomic era.

Genomics is having a profound impact on biological research, including photosynthesis investigations. Genomes of many photosynthetic organisms have been sequenced. The information about ALL genes that govern and execute photoautotrophic metabolism provides many opportunities to understand genome function and details of known and uncharted pathways. Proteomics, analysis of the protein complement of the genome, is a powerful tool in understanding which proteins are present in a particular tissue under given conditions. Proteomics also allows us to estimate relative levels of proteins and to determine post-translational modifications of the gene products. In this minireview, we discuss the technology and its applications in plant sciences.

Gene Expression Regulation↗
PubMed2004

Sculpting the proteome with AAA(+) proteases and disassembly machines.

Machines of protein destruction-including energy-dependent proteases and disassembly chaperones of the AAA(+) ATPase family-function in all kingdoms of life to sculpt the cellular proteome, ensuring that unnecessary and dangerous proteins are eliminated and biological responses to environmental change are rapidly and properly regulated. Exciting progress has been made in understanding how AAA(+) machines recognize specific proteins as targets and then carry out ATP-dependent dismantling of the tertiary and/or quaternary structure of these molecules during the processes of protein degradation and the disassembly of macromolecular complexes.

Adaptor Proteins, Vesicular Transport↗
PubMed2005

Mitochondrial proteomics in free radical research.

The importance of mitochondrial dysfunction in numerous diseases has long been appreciated. The impact of oxidative and nitrosative stress on mitochondrial function is complex; however, recent progress in the field using proteomics technologies has begun to shed light on the molecular defects responsible for mitochondrial and cellular dysfunction. This review focuses on the state-of-the-art technologies being used and current research endeavors in the field of mitochondrial proteomics with emphasis on those advancements being made in the field of free radical biology to identify the importance of alterations to the mitochondrial proteome in the development of disease.

Alcohols↗
PubMed2005

Protein length in eukaryotic and prokaryotic proteomes.

We analyzed length differences of eukaryotic, bacterial and archaeal proteins in relation to function, conservation and environmental factors. Comparing Eukaryotes and Prokaryotes, we found that the greater length of eukaryotic proteins is pervasive over all functional categories and involves the vast majority of protein families. The magnitude of these differences suggests that the evolution of eukaryotic proteins was influenced by processes of fusion of single-function proteins into extended multi-functional and multi-domain proteins. Comparing Bacteria and Archaea, we determined that the small but significant length difference observed between their proteins results from a combination of three factors: (i) bacterial proteomes include a greater proportion than archaeal proteomes of longer proteins involved in metabolism or cellular processes, (ii) within most functional classes, protein families unique to Bacteria are generally longer than protein families unique to Archaea and (iii) within the same protein family, homologs from Bacteria tend to be longer than the corresponding homologs from Archaea. These differences are interpreted with respect to evolutionary trends and prevailing environmental conditions within the two prokaryotic groups.

Amino Acid Sequence↗