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PubMed2005

Peptides in body fluids and tissues as markers of disease.

The general awareness of the importance of peptides in physiology and pathophysiology has increased strongly over the last few years. With worldwide progress in the analysis of whole genomes, the knowledge base in gene sequence and expression data useful for protein and peptide analysis has drastically increased. The medical need for relevant biomarkers is enormous. This is particularly true for the many types of cancer, but other diseases such as Type 2 diabetes also lack useful and adequate diagnostic markers with high specificity and sensitivity. Despite advances in imaging technologies for early detection of diseases, proteomic and peptidomic multiplex techniques have evolved in recent years. This review focuses on the application of peptidomics technologies to peptides in health and disease. Peptidomics technologies provide new opportunities for the detection of low-molecular-weight proteome biomarkers (peptides) by mass spectrometry. Improvements in peptidomics research are based on separation of peptides and/or proteins by their physicochemical properties in combination with mass spectrometric detection, identification and sophisticated bioinformatics tools for data analysis. Therefore, peptidomics technologies offer an opportunity to discover novel biomarkers for diagnosis and management of disease (e.g., prognosis, treatment decision and monitoring response to therapy).

Animals↗

PubMed2006

Serum proteomic patterns associated with sleep-disordered breathing in children.

Obstructive sleep apnea (OSA) is a major public health problem affecting approximately 2% to 3% of children. However, snoring, the cardinal symptom of OSA, affects at least 5-fold more children, such that evaluation by overnight polysomnography (ONP) is required for the diagnosis. ONP is laborious, expensive, and relatively unavailable to children. Proteomic mass spectrometry coupled with bioinformatic tools provide valuable means for discovery of new biomarkers in serum for a variety of human disorders. The possibility exists that snoring children with and without OSA may exhibit different protein expression profiles in serum that could be useful in the development of novel diagnostic tools for this condition. The proteomic patterns of 20 children with OSA and of 20 children with habitual primary snoring but no evidence of OSA (HS) were evaluated using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). Linear discriminative analysis identified three differentially regulated proteins with molecular masses of 5896, 3306, 6068 Da that were capable of diagnosing OSA with 93% sensitivity and 90% specificity. Thus, the proteomic signatures of sera from children with OSA differ from those of HS who do not fulfill the current criteria for treatment. Identification and sequencing of those differentially expressed proteins discovered through proteomic strategies may lead to future development of serum-based diagnostic tests for OSA in snoring children.

Adolescent↗

PubMed2006

Role and challenges of proteomics in pharma and biotech: technical, scientific and commercial perspective.

Contemporary proteomics, currently in its exponential growth phase, is a bewildering array of tools. Proteomic methods are the result of a convergence of rapidly improving mass spectrometry technologies, protein chemistry and separation sciences, genomics and bioinformatics. Strides in improving proteomics technologies to map and measure proteomes and subproteomes are being made. However, no single proteomic platform appears ideally suited to address all research needs or accomplish ambitious goals satisfactorily. However, proteomics is in a unique position to contribute to protein discovery and to public health in terms of better biomarkers, diagnostics and treatment of disease. While the potential is great, many challenges and issues remain to be solved. Fundamental issues, such as biological variability, pre-analytic factors and analytical reproducibility, remain to be resolved. Neither an all-genetic approach nor an all-proteomic approach will solve biological complexity. Proteomics will be the foundation for constructing and extracting useful knowledge to pharma and biotech depicted in the following path: data --> structured data --> information --> information architecture --> knowledge --> useful knowledge.

Animals↗

PubMed2005

[Development of Allergen Database for Food Safety (ADFS): an integrated database to search allergens and predict allergenicity].

Allergy has been one of the most common chronic health problems in recent years, and the introduction of recombinant proteins into foods and other products has raised public concern about the induction of allergy. Prediction of food allergenicity is very important but still unsatisfactory. By using an enormous amount of data produced by genomic, functional, and structural studies, bioinformatics can provide useful insights into allergenicity. We have developed a web server database system which is comprised of allergenic proteins for food safety and homology search tools, "Allergen Database for Food Safety (ADFS)". Since ADFS includes the sequences of known allergens and B-cell epitopes, a potential allergenicity of a novel protein in food should be detected by homology search. The database contains allergens classified into 8 categories (pollen, mite, animal, fungus, insect, food, latex, and others), together with the public database accession numbers of their genes, and their epitope and 3D-structure information. Users can easily search allergens with keywords and amino acid sequences through the graphical interfaces.

Allergens↗

PubMed2004

Post-genome respiratory epidemiology: a multidisciplinary challenge.

The introduction of genetic approaches in respiratory epidemiology is novel for most epidemiologists, and the post-genome phase poses new challenges. After describing specific questions pertinent to the field of asthma and chronic obstructive pulmonary disease, two main methodological aspects regarding technological and scientific advances are presented in this review. The first one concerns biological aspects in the genome and post-genome phases, i.e. how to study the genome, the transcriptome and the proteome. The second area concerns genetic epidemiology, considering design (case control and family based) and statistical analytical issues. Key aspects are large sample size, good phenotyping and the consideration of environment-by-gene interaction according to windows of opportunity. Needs that have been identified include the following. 1) Networking for setting standards in the field and access to sufficiently large samples. 2) Multidisciplinarity; the collaboration of epidemiologists, clinicians, geneticists and specialists in bioinformatics, in addition to specialists in disciplines less familiar to epidemiologists, to be prepared for new phenotypic characterisations based on transcriptome and proteome. 3) Training in genetic analytical techniques for some respiratory epidemiologists, as well as in respiratory epidemiology for some genetic epidemiologists. Implications for research, considering ethical aspects, public health aspects and organisational aspects in the field of genetic and environmental respiratory epidemiology also need to be addressed.

Asthma↗

PubMed2026

Molecular epidemiological characteristics of H9N2 subtype avian influenza virus in the external environment of western Zhejiang, China, 2014-2025.

OBJECTIVE: To elucidate the epidemiological distribution patterns of avian influenza virus (AIV) in the external environment of western Zhejiang from 2014 to 2025, analyze the molecular epidemiological characteristics of the H9N2 subtype, and assess its public health risks. METHODS: According to the Zhejiang Provincial Surveillance Program for Avian Influenza in Occupationally Exposed Populations and External Environments, real-time RT-PCR was used to detect AIV subtypes in environmental specimens. H9N2-positive samples with cycle threshold values <30 were inoculated into specific pathogen-free (SPF) embryonated chicken eggs for virus isolation, followed by whole-genome sequencing and bioinformatics analysis for phylogenetic and molecular characterization. RESULTS: A total of 7,762 specimens were tested from 2014 to 2025, with an overall positivity rate of 34.64% (2,689/7,762) for AIV. Significant differences in positivity rates were observed in seasons, regions, sampling sites, and specimen types (all p < 0.001). AIV activity peaked in winter and spring, with the highest rates detected in live poultry markets and chopping board swabs. The H9 was the predominant subtype, with co-circulation of multiple subtypes. All 48 H9N2 subtype isolates belonged to the G57 genotype, with the hemagglutinin (HA) and neuraminidase (NA) genes falling into the Y280-like branch, while the internal genes exhibited a mosaic pattern combining G1-like and F/98-like lineages. Molecular characterization analysis revealed multiple mammalian adaptive mutations, involving alterations in receptor-binding sites (T163N, H191N, T197D, T198V, Q234L, Q235M), antigenic epitopes (D280G, N285S), and glycosylation sites (218NRTF, 313NCSK). NA stalk deletion (62-64 aa), along with multiple mutations in the hemadsorption site (E/K368N, D369S/G, D401G/V, N402D, W403L/R, Q432H). Additionally, multiple key amino acid substitutions were also identified in the internal proteins. CONCLUSION: The external environment in western Zhejiang exhibits a high prevalence of AIVs with pronounced spatiotemporal clustering. H9 was the dominant subtype and co-circulated with multiple subtypes, with live poultry markets and slaughterhouses identified as high-risk settings. The H9N2 subtype AIV has accumulated multiple mammalian adaptive mutations, and exhibits genetic linkages across eastern Chinese provinces. These findings collectively underscore the need for an integrated One Health surveillance and early-warning system to reduce the risk of human infections with avian influenza.

Influenza in Birds↗

PubMed2026

Q&A with Michèle Ramsay.

Michèle Ramsay, PhD, is Director of the Sydney Brenner Institute for Molecular Bioscience, Professor in Human Genetics, and South African Research Chair in Genomics and Bioinformatics of African Populations at the University of the Witwatersrand, Johannesburg. While promoting research excellence in Africa and contributing to research that accurately represents African populations in global science, she supports capacity strengthening in the fields of genomics and precision medicine. Michèle is a founding member of the Human Heredity and Health in Africa Consortium, co-chair of the International Health Cohorts Consortium, member of the WHO Technical Advisory Group for Genomics (TAG-G), and co-chair of the Lancet Commission on Precision Health. She contributes low- and middle-income countries' perspectives to global genomics, promoting ethical, equitable and fair principles and practices.

Humans↗

PubMed2024

Exploring the clinical and biological significance of the cell cycle-related gene CHMP4C in prostate cancer.

BACKGROUND: Prostate cancer (PCa) stands as the second most prevalent malignancy impacting male health, and the disease's evolutionary course presents formidable challenges in the context of patient treatment and prognostic management. Charged multivesicular body protein 4 C (CHMP4C) participates in the development of several cancers by regulating cell cycle functions. However, the role of CHMP4C in prostate cancer remains unclear. METHODS: In terms of bioinformatics, multiple PCa datasets were employed to scrutinize the expression of CHMP4C. Survival analysis coupled with a nomogram approach was employed to probe into the prognostic significance of CHMP4C. Gene set enrichment analysis (GSEA) was conducted to interrogate the functional implications of CHMP4C. In terms of cellular experimentation, the verification of RNA and protein expression levels was executed through the utilization of qRT-PCR and Western blotting. Upon the establishment of a cell line featuring stable CHMP4C knockdown, a battery of assays, including Cell Counting Kit-8 (CCK-8), wound healing, Transwell, and flow cytometry, were employed to discern the impact of CHMP4C on the proliferation, migration, invasion, and cell cycle function of PCa cells. RESULTS: The expression of CHMP4C exhibited upregulation in both PCa cells and tissues, and patients demonstrating elevated CHMP4C expression levels experienced a notably inferior prognosis. The nomogram, constructed using CHMP4C along with clinicopathological features, demonstrated a commendable capacity for prognostic prediction. CHMP4C knockdown significantly inhibited the proliferation, migration, and invasion of PCa cells (LNcaP and PC3). CHMP4C could impact the advancement of the PCa cell cycle, and its expression might be regulated by berberine. Divergent CHMP4C expression among PCa patients could induce alterations in immune cell infiltration and gene mutation frequency. CONCLUSIONS: Our findings suggest that CHMP4C might be a prognostic biomarker in PCa, potentially offering novel perspectives for the advancement of precision therapy for PCa.

Humans↗

PubMed2004

Porcine genomics delivers new tools and results: this little piggy did more than just go to market.

The past decade has yielded new tools for pig geneticists and breeders thanks to the considerable developments resulting from efforts to map the pig genome. The pig genetic linkage map now has nearly 5000 loci including several hundred genes, microsatellites and amplified fragment length polymorphisms (AFLP) markers. Using tools that include somatic cell hybrid panels and radiation hybrid panels, the physical genetic map is also growing rapidly and has over 4000 genes and markers. Scientists using both exotic and commercial breeds for quantitative trait loci (QTL) scans and candidate gene analyses have identified a number of important chromosomal regions and individual genes associated with growth rate, leanness, feed intake, meat quality, litter size and disease resistance. Using marker-assisted selection (MAS) the commercial pig industry is actively incorporating these gene markers and traditional performance information to improve traits of economic importance in pig production. Researchers now have novel tools including pig gene arrays and advanced bioinformatics that are being exploited to find new candidate genes and to advance the understanding of gene function in the pig. Sequencing of the pig genome has been initiated and further sequencing is now being considered. Advances in pig genomics and directions for future research and the implications to both the pig industry and human health are reviewed.

Agriculture↗

PubMed2002

Proteomics of breast cancer: outcomes and prospects.

Breast cancer is a major public health problem. The identification of new markers to differentiate neoplastic from the normal cells, more thorough understanding of different stages of the pathology, as well as the definition of new therapeutic targets, are all of critical importance. With the completion of human genome sequencing and the introduction of mass spectrometry, combined with protein identification via advanced bioinformatics, proteomics has emerged as a valuable tool for the discovery of new molecular markers. New methods in functional proteomics have also been developed to study the intracellular signaling pathways that underline the development of breast cancer. As illustrated with the examples of fibroblast growth factor-2 and H19, an oncogenic, noncoding mRNA, proteomics have become a powerful approach for deciphering the complex signaling circuitry involved in tumor growth. Breast cancer proteomics have already identified proteins of potential clinical interest (such as the molecular chaperone 14-3-3 sigma) and technological innovations in large scale/high throughput analysis are now ushering in new prospects.

Breast Neoplasms↗

PubMed2006

Resources for genetic and genomic studies of Xenopus.

The National Institutes of Health Xenopus Initiative is a concerted effort to interact with the Xenopus research community to identify the community's needs; to devise strategies to meet those needs; and to support, oversee, and coordinate the resulting projects. This chapter provides a brief description of several genetic and genomic resources generated by this initiative and explains how to access them. The resources described in this chapter are (1) complementary deoxyribonucleic acid (cDNA) libraries and expressed sequence tag (EST) sequences; (2) UniGene clusters; (3) full-insert cDNA sequences; (4) a genetic map; (5) genomic libraries; (6) a physical map; (7) genome sequence; (8) microarrays; (9) mutagenesis and phenotyping; and (10) bioinformatics. The descriptions presented here were based on data that were available at the time of manuscript submission. Because these are ongoing projects, they are constantly generating new data and analyses. The Web sites cited in each subheading present current data and analyses.

Animals↗

PubMed2004

Comparative cell wall core biosynthesis in the mycolated pathogens, Mycobacterium tuberculosis and Corynebacterium diphtheriae.

The recent determination of the complete genome sequence of Corynebacterium diphtheriae, the aetiological agent of diphtheria, has allowed a detailed comparison of its physiology with that of its closest sequenced pathogenic relative Mycobacterium tuberculosis. Of major importance to the pathogenicity and resilience of the latter is its particularly complex cell envelope. The corynebacteria share many of the features of this extraordinary structure although to a lesser level of complexity. The cell envelope of M. tuberculosis has provided the molecular targets for several of the major anti-tubercular drugs. Given a backdrop of emerging multi-drug resistant strains of the organism (MDR-TB) and its continuing global threat to human health, the search for novel anti-tubercular agents is of paramount importance. The unique structure of this cell wall and the importance of its integrity to the viability of the organism suggest that the search for novel drug targets within the array of enzymes responsible for its construction may prove fruitful. Although the application of modern bioinformatics techniques to the 'mining' of the M. tuberculosis genome has already increased our knowledge of the biosynthesis and assembly of the mycobacterial cell wall, several issues remain uncertain. Further analysis by comparison with its relatives may bring clarity and aid the early identification of novel cellular targets for new anti-tuberculosis drugs. In order to facilitate this aim, this review intends to illustrate the broad similarities and highlight the structural differences between the two bacterial envelopes and discuss the genetics of their biosynthesis.

Cell Wall↗

PubMed2026

VISTA: a classifier for metagenomic subspecies and community state typing of the vaginal microbiome.

Metagenomic community state types (mgCSTs) capture within-species genetic and functional diversity and community structure of the vaginal microbiome, enabling precise links between microbiome composition, function, and health-related risk. VISTA, the Vaginal Inference of Subspecies and Typing Algorithm, is a two-step classifier that assigns mgCSTs to vaginal metagenomes, providing standardized, scalable classifications.

bioinformatics↗

PubMed2005

Progress and new directions in genetics of tuberculosis: an NHLBI working group report.

Tuberculosis (TB), along with AIDS and malaria, is one of the three major killers among infectious diseases. New approaches to preventing, diagnosing, and curing TB are needed, which depend on a better understanding of Mycobacterium tuberculosis and the host. The National Heart, Lung, and Blood Institute convened a working group to develop recommendations for future TB research, including genetic aspects of the disease. The following areas were identified: (1) animal model research to improve understanding of persistence, reactivation, and granulomatous reactions; (2) preclinical studies aimed at shortening treatment of TB; (3) new resources for manipulating and characterizing the M. tuberculosis genome, proteome chips for more specific diagnoses, and studies of genes that appear to be essential but whose functions are not known; (4) prospective studies associated with clinical trials in populations with or at risk of TB to advance development of diagnostics and prognostics; (5) new quantitative and bioinformatic approaches to study the interaction between M. tuberculosis and the infected host and how this influences the infection process; (6) molecular characterization of M. tuberculosis genome diversity and phylogenetic analysis; (7) coordinated studies of human genome scans; (8) genetic epidemiology studies; (9) activities to foster knowledge dissemination, education, and training; and (10) coordination between the National Institutes of Health, the Gates Foundation, the Global Alliance for Tuberculosis Drug Development, and other organizations.

Animals↗

PubMed2005

Identification of hundreds of conserved and nonconserved human microRNAs.

MicroRNAs are noncoding RNAs of approximately 22 nucleotides that suppress translation of target genes by binding to their mRNA and thus have a central role in gene regulation in health and disease. To date, 222 human microRNAs have been identified, 86 by random cloning and sequencing, 43 by computational approaches and the rest as putative microRNAs homologous to microRNAs in other species. To prove our hypothesis that the total number of microRNAs may be much larger and that several have emerged only in primates, we developed an integrative approach combining bioinformatic predictions with microarray analysis and sequence-directed cloning. Here we report the use of this approach to clone and sequence 89 new human microRNAs (nearly doubling the current number of sequenced human microRNAs), 53 of which are not conserved beyond primates. These findings suggest that the total number of human microRNAs is at least 800.

Base Sequence↗

PubMed2005

Shuttling between species for pathways of lifespan regulation: a central role for the vitellogenin gene family?

Studies to find genes that affect maximum lifespan aim at identifying important determinants of ageing that may be universal across species. Model organisms show insulin signalling can play an important role in ageing. In view of insulin resistance, such loci can also be important in human ageing and health. The study of long-lived humans and their children points to the relevance of lipoprotein profiles and particle size for longevity. If ageing pathways are conserved, then the genes mediating such pathways may also be conserved. Cross-species sequence comparisons of potential longevity loci may reveal whether the pathways that they represent are central themes in lifespan regulation. Using bioinformatic tools, we performed a sequence comparison of the genes involved in lipid metabolism identified in humans as potential longevity loci. This analysis revealed that lipid storage and transport may be a common theme related to longevity in humans, honeybees and nematodes. Here, the vitellogenin family emerges as a potential key connection between lipid metabolism and the insulin/IGF-1 signalling pathway.

Animals↗

PubMed2002

Isolation and characterization of homogentisate phytyltransferase genes from Synechocystis sp. PCC 6803 and Arabidopsis.

Tocopherols, synthesized by photosynthetic organisms, are micronutrients with antioxidant properties that play important roles in animal and human nutrition. Because of these health benefits, there is considerable interest in identifying the genes involved in tocopherol biosynthesis to allow transgenic alteration of both tocopherol levels and composition in agricultural crops. Tocopherols are generated from the condensation of phytyldiphosphate and homogentisic acid (HGA), followed by cyclization and methylation reactions. Homogentisate phytyltransferase (HPT) performs the first committed step in this pathway, the phytylation of HGA. In this study, bioinformatics techniques were used to identify candidate genes, slr1736 and HPT1, that encode HPT from Synechocystis sp. PCC 6803 and Arabidopsis, respectively. These two genes encode putative membrane-bound proteins, and contain amino acid residues highly conserved with other prenyltransferases of the aromatic type. A Synechocystis sp. PCC 6803 slr1736 null mutant obtained by insertional inactivation did not accumulate tocopherols, and was rescued by the Arabidopsis HPT1 ortholog. The membrane fraction of wild-type Synechocystis sp. PCC 6803 was capable of catalyzing the phytylation of HGA, whereas the membrane fraction from the slr1736 null mutant was not. The microsomal membrane fraction of baculovirus-infected insect cells expressing the Synechocystis sp. PCC 6803 slr1736 were also able to perform the phytylation reaction, verifying HPT activity of the protein encoded by this gene. In addition, evidence that antisense expression of HPT1 in Arabidopsis resulted in reduced seed tocopherol levels, whereas seed-specific sense expression resulted in increased seed tocopherol levels, is presented.

Alkyl and Aryl Transferases↗

PubMed2002

Use of genomics in toxicology and epidemiology: findings and recommendations of a workshop.

The sequencing of the human genome has revolutionized biology and led to an astounding variety of technologies and bioinformatics tools, enabling researchers to study expression of genes, the function of proteins, metabolism, and genetic differences within populations and between individuals. These scientific advances are making an impact in the medical research community and hold great promise for prevention, diagnosis, and treatment of diseases. This developing field also holds great promise for improving the scientific basis for understanding the potential impacts of chemicals on health and the environment. A workshop sponsored by the International Council of Chemical Associations was held to review the state of the science in the application of genomics technologies in toxicology and epidemiology. Further, consideration was given to the ethical, legal, and regulatory issues and their influence on the direction and application of genomics technologies to environmental health research. Four overarching themes emerged from the workshop: Genomics technologies should be used within a framework of toxicology and epidemiology principles and applied in a context that can be used in risk assessment; effective application of these technologies to epidemiology will require suitable biologic samples from large and diverse population groups at the relevant period of exposure; ethical, legal, and social perspectives require involvement of all stakeholder communities; and a unified research agenda for genomics technologies as applied to toxicology, epidemiology, and risk assessment is urgently needed for the regulatory and scientific communities to realize the potential power and benefits of these new technologies.

Animals↗