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PubMed2005

The next wave in metabolome analysis.

The metabolome of a cell represents the amplification and integration of signals from other functional genomic levels, such as the transcriptome and the proteome. Although this makes metabolomics a useful tool for the high-throughput analysis of phenotypes, the lack of a direct connection to the genome makes it difficult to interpret metabolomic data. Nevertheless, functional genomics has produced examples of the use of metabolomics to elucidate the phenotypes of otherwise silent mutations. Despite several successes, we believe that future metabolomic studies must focus on the accurate measurement of the concentrations of unambiguously identified metabolites. The research community must develop databases of metabolite concentrations in cells that are grown in several well-defined conditions if metabolomic data are to be integrated meaningfully with data from the other levels of functional-genomic analysis and to make a significant contribution to systems biology.

Animals↗
PubMed2004

Digital quantitative measurements of gene expression.

One of the primary goals of functional genomics is to provide a quantitative understanding of gene function. However, the success of this enterprise is dependent on the accuracy and precision of the functional genomic data. A novel approach, digital analysis of gene expression (DAGE) described herein, is an accurate and precise technology for measuring digital gene expression on a relative or absolute scale by simply counting the number of transcripts of a gene being expressed at a given time. The result is a greatly improved technology sensitive enough for identifying and quantifying small (but biologically important and statistically relevant) changes in gene expression. Fourteen genes involved in galactose metabolism in Saccharomyces cerevisiae were analyzed for their expression levels in glucose and galactose minimal media. The quantitative expression results were characterized in terms of distributional and accuracy attributes; they were also in general agreement (in terms of direction of change) with corresponding results obtained using microarray technology. DAGE is likely to have profound implications in the field of functional genomics because the gene expression measurements are digital in nature and therefore more accurate than any other technologies.

Algorithms↗
PubMed2026

Genome-Resolved Functional Profiling of Osteoporosis-Associated Gut Bacteria Highlights Putative Metabolic and Immunogenic Signatures of the Gut-Bone Axis.

The gut microbiota has emerged as a potential regulator of bone metabolism, but the genome-encoded functional repertoire of osteoporosis-associated gut bacteria remains insufficiently characterized. This study performed in silico functional profiling of gut bacterial taxa associated with osteoporosis, low bone mineral density, or comparator bone-related phenotypes. Twenty candidate taxa were selected from evidence in the human microbiome and represented by 26 curated bacterial reference genomes. Genome-wide annotations were used to map predicted gut-bone axis signatures, carbohydrate-active enzyme (CAZyme) repertoires, selected Kyoto Encyclopedia of Genes and Genomes pathways, and gutSMASH-predicted metabolic gene clusters. Functional burdens were normalized as hits per 1000 annotated proteins and integrated into metabolic, immunogenic, CAZyme, KEGG, and metabolic gene cluster profiles. Twelve predicted gut-bone axis signatures were identified, comprising 3337 primary candidate protein hits and a strict high-confidence subset of 2497 hits. Dominant signatures included vitamin B12/cobalamin metabolism, folate/one-carbon metabolism, peptidoglycan/cell-wall biosynthesis, and short-chain fatty acid-related functions. Dialister invisus, Dialister succinatiphilus, Megamonas funiformis, and Megamonas hypermegale showed the strongest normalized predicted gut-bone axis signal. These hypothesis-generating findings prioritize microbial metabolic and immunogenic features for future metagenomic, metabolomic, and experimental validation studies.

Osteoporosis↗
PubMed2005

Functional and genomic approaches reveal an ancient CHEK2 allele associated with breast cancer in the Ashkenazi Jewish population.

Functional and genomic approaches can be integrated to screen efficiently for pathogenic alleles in founder populations. We applied such approaches to analysis of the cancer-associated cell cycle regulator CHEK2 in the Ashkenazi Jewish population. We first identified two extended haplotypes at CHEK2 that co-segregated with breast cancer in high-risk families. We sequenced CHEK2 in a case representing each haplotype and discovered two novel amino acid substitutions, CHEK2.S428F in the kinase domain and CHEK2.P85L in the N-terminal region. To assay these alleles for loss of CHEK2 function, we tested their capacity to complement Rad53 deletion in Saccharomyces cerevisiae. CHEK2.S428F failed to complement Rad53 and thus largely abrogates normal CHEK2 function, whereas CHEK2.P85L complemented Rad53 as well as did wild-type CHEK2. Epidemiologic analyses were concordant with the functional tests. Frequencies of CHEK2.S428F heterozygotes were 2.88% (47/1632) among female breast cancer patients not selected for family history or age at diagnosis and 1.37% (23/1673) among controls (OR=2.13, 95% CI [1.26, 3.69], P=0.004), whereas frequencies of CHEK2.P85L were 0.92% among cases and 0.83% among controls. On the basis of the experience of mothers, sisters and daughters of probands, breast cancer risk due to CHEK2.S428F was estimated as 0.17 (+/-0.08) by age 60. We conclude that CHEK2.S428F increases breast cancer risk approximately 2-fold among Ashkenazi Jewish women, whereas CHEK2.P85L is a neutral allele. In general, these results suggest that selecting probands with extended haplotypes that co-segregate with disease can improve the efficiency of resequencing efforts and that quantitative complementation tests in yeast can be used to evaluate variants in genes with highly conserved function.

Amino Acid Substitution↗
PubMed2005

Screening for new metabolites from marine microorganisms.

This article gives an overview of current analysis techniques for the screening and the activity analysis of metabolites from marine (micro)organisms. The sequencing of marine genomes and the techniques of functional genomics (including transcriptome, proteome, and metabolome analyses) open up new possibilities for the screening of new metabolites of biotechnological interest. Although the sequencing of microbial marine genomes has been somewhat limited to date, selected genome sequences of marine bacteria and algae have already been published. This report summarizes the application of the techniques of functional genomics, such as transcriptome analysis in combination with high-resolution two-dimensional polyacrylamide gelelectrophoresis and mass spectrometry, for the screening for bioactive compounds of marine microorganisms. Furthermore, the target analysis of antimicrobial compounds by proteome or transcriptome analysis of bacterial model systems is described. Recent high-throughput screening techniques are explained. Finally, new approaches for the screening of metabolites from marine microorganisms are discussed.

Bacteria↗
PubMed1999

An Evolutionary Trace Method for Functional Prediction of Genomes.

It is essential for functional genomics to develop an accurate and efficient functional prediction method of genomes. Here, a new method is suggested, that is based on the fact that ortholog-specific motif is an evolutionary trace, in which the functional prediction of genomics is carried out. First, orthologous sets in a family were constructed using evolutionary analysis then functional motifs for each orthologous set were found out and a database consisted of these motifs was built. When this database is completed, unknown genes can be predicted accurately and quickly by searching it. The pilot study on five families proves that our method is feasible.

Journal Article↗
PubMed1994

Recombination between defective tombusvirus RNAs generates functional hybrid genomes.

The tombusviruses represent a group of small icosahedral plant viruses that contain monopartite positive-sense RNA genomes. Tombusviruses are able to generate small replicating deletion mutants of their genomes (i.e., defective interfering RNAs) during infections via RNA recombination and/or rearrangement. To further study the process of RNA recombination and to determine whether tombusviruses were capable of trans-recombination, protoplasts were coinoculated with in vitro-generated transcripts of a nonreplicating 3'-truncated genomic RNA of cucumber necrosis tombusvirus and either replicative or replication-defective DI RNAs of tomato bushy stunt tombusvirus. After a 48-hr incubation, two dominant replicative chimeric recombinant viral RNA populations were detected that contained various large contiguous 5' segments of the cucumber necrosis tombusvirus genomic RNA fused to 3'-terminal regions of the tomato bushy stunt tombusvirus defective interfering RNA. Some of the larger chimeric recombinants formed in protoplasts were able to systemically infect plants and induce wild-type symptoms. In addition, a functional chimeric genome was generated in planta after direct coinoculation of whole plants with the defective RNA components. These results indicate that (i) RNA recombination can occur relatively efficiently in single-cell infections, (ii) trans-recombination can occur with nonreplicating viral RNA components, and (iii) functional chimeric genomes can be generated via recombination. Possible mechanisms for the formation of the recombinants are proposed, and evolutionary implications are discussed.

Amino Acid Sequence↗
PubMedDate not supplied

Biotechnology and molecular diagnostics.

Molecular diagnostic applications of biotechnology have allowed the exploitation of biological processes for the industrial production of bio-products that are used for diagnostic purposes. Advances in genetic-related technologies together with a multidisciplinary interplay of several fields led to the development of genomics which is focusing at the detection of pathogenetic events at the genome level. Both structural and functional genomic approaches are shaping the technological challenge of the discovery of disease-related genes and the identification of their structural alterations or elucidation of gene function. Some of the emerging technologies and diagnostic applications of both structural and functional genomics will be summarised, including the issues related to identification of disease-genes, detection of genetic alterations, mutation scanning and DNA chip technology or those related to expression genetics (hybridisation-, PCR- and sequence-based technologies), two-hybrid technology and bioinformatics and computational biology, respectively. Further advances of genetic engineering have also revolutionised immunoassay biotechnology via engineering of antibody-encoding genes and the phage display technology. A comment will also be given about some of the issues related to the commercialisation and widespread diffusion of genetic information derived from the exploitation of the biotechnology industry and the development and marketing of diagnostic services.

Biotechnology↗
PubMed2005

Molecular genetics of Alzheimer's disease and aging.

Alzheimer's disease is a genetically complex disorder associated with multiple genetic defects, either mutational or of susceptibility. Although potentially associated with an accelerated stochastically driven aging process, Alzheimer's disease is an independent clinical entity in which the aging process exerts a deleterious effect on brain activity in conjunction with polymodal genetic factors and other pathological conditions (i.e., age-related cerebrovascular deterioration) and environmental factors (i.e., nutrition). Alzheimer's disease genetics does not explain in full the etiopathogenesis of this disease. Therefore, it is likely that environmental factors and/or epigenetic phenomena also contribute to Alzheimer's disease pathology and phenotypic expression of dementia. The genomics of Alzheimer's disease is still in its infancy, but this field is aiding the understanding of novel aspects of this disease, including genetic epidemiology, multifactorial risk factors, pathogenic mechanisms associated with genetic networks and genetically regulated metabolic cascades. Alzheimer's disease genomics is also helping to develop new strategies in pharmacogenomic research and prevention. Functional genomics, proteomics, pharmacogenomics, high-throughput methods, combinatorial chemistry and modern bioinformatics will greatly contribute to accelerate drug development for Alzheimer's disease and other complex disorders. The multifactorial genetic dysfunction in dementia includes mutational loci (APP, PS1, PS2, TAU) and diverse susceptibility loci (APOE, alpha2M, alphaACT, LRP1, IL1 alpha, TNF, ACE, BACE, BCHE, CST3, MTHFR, GSK3 beta, NOS3 and many other genes) distributed across the human genome, probably converging in a common pathogenic mechanism that leads to premature neuronal death, in which mitochondrial DNA mutations may contribute to increased genetic variability and heterogeneity. In Alzheimer's disease, multiple pathogenic events, including genetic factors, accumulation of aberrant or misfolded proteins, protofibril formation, ubiquitin-proteasome system dysfunction, excitotoxic reactions, oxidative and nitrosative stress, mitochondrial injury, synaptic failure, altered metal homeostasis, dysfunction of axonal and dendritic transport, and chaperone misoperation may converge in pathogenic pathways leading to premature death and neurodegeneration. Some of these mechanisms are common to several neurodegenerative disorders, which differ depending upon the gene(s) affected and the involvement of specific genetic networks, together with epigenetic factors and environmental events. Many genes potentially associated with Alzheimer's disease in some studies cannot be confirmed as candidate genes in replication studies, indicating that methodological problems and genomic complexity are leading to erroneous conclusions. A different approach to Alzheimer's disease functional genomics is to integrate individual genetic information in polygenic genotypes (haplotype-like model) and to investigate genotype-phenotype correlations and genotype-related pharmacogenomic behaviors. The application of functional genomics to Alzheimer's disease can be a suitable strategy for molecular diagnosis and for understanding pathophysiological mechanisms associated with Alzheimer's disease-related neurodegeneration. Furthermore, the pharmacogenomics of Alzheimer's disease may contribute in the future to optimize drug development and therapeutics, increasing efficacy and safety, and reducing side-effects and unnecessary costs.

Aging↗
PubMedDate not supplied

Evolutionary patterns of retinal-binding pockets of type I rhodopsins and their functions.

Genome sequencing projects resulted in the identification of a large number of new sequence homologs of archaeal rhodopsins in marine bacteria, fungi, and unicellular algae. It is an important task to unambiguously predict the functions of these new rhodopsins, as it is difficult to perform individual experiments on every newly discovered sequence. The transmembrane segments of rhodopsins have similar three-dimensional structures where the seven transmembrane helices form a tightly packed scaffold to accommodate a covalently bound retinal. We use geometric computations to accurately define the retinal-binding pockets in high-resolution structures of rhodopsins and to extract residues forming the wall of the retinal-binding pocket. We then obtain a tree defining the functional relationship of rhodopsins based on the short sequences of residues forming the wall of the retinal-binding pocket concatenated from the primary sequence, and show that these sequence fragments are often sufficient to discriminate phototactic vs transporting function of the bacterial and unicellular algal rhodopsins. We further study the evolutionary history of retinal-binding pockets by estimating the pocket residue substitution rates using a Bayesian Monte Carlo method. Our findings indicate that every functional class of rhodopsins has a specific allowed set of fast-rate amino acid substitutions in the retinal-binding pocket that may contribute to spectral tuning or photocycle modulation. The substitution rates of the amino acid residues in a putative retinal-binding pocket of marine proteorhodopsins together with the clustering of pocket sequences indicate that green-absorbing and blue-absorbing proteorhodopsins have similar function. Our results demonstrate that the evolutionary patterns of the retinal-binding pockets reflect the functional specificity of the rhodopsins. The approach we describe in this paper may be useful for large-scale functional prediction of rhodopsins.

Amino Acid Sequence↗
PubMed2003

Automatic design of gene-specific sequence tags for genome-wide functional studies.

MOTIVATION: The availability of complete genome sequences allows the identification of short DNA segments that are specific to each annotated gene. Such unique gene sequence tags (GSTs) replace advantageously cDNAs in microarray transcript profiling experiments. In particular, probes corresponding to individual members of multigene families can be chosen carefully to avoid cross-hybridization events. RESULTS: The Specific Primer and Amplicon Design Software (SPADS) was constructed to delineate the more divergent regions in each gene by comparing them with a completely annotated genome sequence and to select optimal primer pairs for the polymerase chain reaction amplification of one divergent region per gene. SPADS is a unique integrated tool to design specific GSTs from any public or private genome sequences and allows the user to fine-tune GST size and specificity. SPADS has been used to obtain probes for whole genome and family-wide transcript profiling, as well as inserts for gene-specific knock-out experiments. AVAILABILITY: The GENOPLANTE SPADS source code and web interface are available upon request. The online version is accessible via http://genoplante-info.infobiogen.fr/spads and via http://oberon.fvms.ugent.be:8080/SPADS/

Algorithms↗
PubMed2002

Gene array analysis and the liver.

Functional genomics methods promise a previously unparalleled high-throughput examination of intrahepatic gene expression. Profiling transcriptomes as well as examining the coordinate expression of many genes in diverse pathobiologic pathways is now possible with techniques such as gene array analysis. However, the nature of the hepatic transcriptome, limitations of the functional genomics methodologies used, and analysis of the data generated are often poorly understood. Further, the use of replicates during analysis and the downstream confirmation of results using a supplemental methodology are important but frequently neglected aspects of experimental design. This review presents an overview of functional genomics methodologies in the organ-specific context of studying intrahepatic gene expression. The focus of the review is the most widely used functional genomic methodology, gene array analysis. The nature of the hepatic transcriptome is discussed, together with a summary of gene array analysis methodologies. Analysis of data generated by gene array analysis, determination of intrahepatic cellular origin of transcript expression, and studies of intrahepatic gene expression using gene array analysis are also reviewed. Finally, the importance of a coordinate experimental approach examining both liver protein and mRNA expression is presented.

Humans↗
PubMed1999

The Yeast Proteome Database (YPD): a model for the organization and presentation of genome-wide functional data.

The Yeast Proteome Database (YPD) is a model for the organization and presentation of comprehensive protein information. Based on the detailed curation of the scientific literature for the yeast Saccharomyces cerevisiae, YPD contains more than 50 000 annotations lines derived from the review of 8500 research publications. The information concerning each of the approximately 6100 yeast proteins is structured around a convenient one-page format, the Yeast Protein Report, with additional information provided as pop-up windows. Protein classification schema have been revised this year, defining each protein's cellular role, function and pathway, and adding a Functional to the Yeast Protein Report. These changes provide the user with a succinct summary of the protein's function and its place in the biology of the cell, and they enhance the power of YPD Search functions. Precalculated sequence alignments have been added, to provide a crossover point for comparative genomics. The first transcript profiling data has been integrated into the YPD Protein Reports, providing the framework for the presentation of genome-wide functional data. The Yeast Proteome Database can be accessed on the Web at http://www.proteome.com/YPDhome.html

Computational Biology↗
PubMedDate not supplied

Attenuation of cocaine-induced genomic and functional responses in prenatal cocaine-exposed rabbits.

The effects of in utero cocaine exposure on cocaine-induced genomic and functional responses in postnatal life were examined. Pregnant Dutch Belted rabbits were injected intravenously, twice daily, with cocaine hydrochloride (4 mg/kg) or saline from day 8 through day 29 of pregnancy. Prenatally exposed kits were challenged with cocaine on postnatal day 20. In prenatal saline-exposed kits, cocaine induced time- and dose-dependent c-fos gene expression in both frontal cortex and striatum. Prenatal cocaine exposure reduced cocaine-induced c-fos responses by 35-58% in the frontal cortex and 37-41% in the striatum. Cocaine-induced functional responses that included head bobbing, seizure, and locomotor activity were also attenuated in prenatal cocaine-exposed kits. Cocaine-induced c-fos expression and functional responses were blocked by the D(1) dopamine receptor antagonist, SCH23390, or by the serotonin receptor antagonist, methysergide, but not by the D(2) dopamine receptor antagonist, L-sulpride. The results indicate that in utero cocaine exposure leads to diminished responses to cocaine challenge in the offspring, which may be mediated by prenatal cocaine-induced alterations in one or more components of the D(1) dopamine and/or serotonin receptor signaling systems during early postnatal life.

Animals↗
PubMed2001

From genome to function: the Arabidopsis aquaporins.

BACKGROUND: In the post-genomic era newly sequenced genomes can be used to deduce organismal functions from our knowledge of other systems. Here we apply this approach to analyzing the aquaporin gene family in Arabidopsis thaliana. The aquaporins are intrinsic membrane proteins that have been characterized as facilitators of water flux. Originally termed major intrinsic proteins (MIPs), they are now also known as water channels, glycerol facilitators and aqua-glyceroporins, yet recent data suggest that they facilitate the movement of other low-molecular-weight metabolites as well. RESULTS: The Arabidopsis genome contains 38 sequences with homology to aquaporin in four subfamilies, termed PIP, TIP, NIP and SIP. We have analyzed aquaporin family structure and expression using the A. thaliana genome sequence, and introduce a new NMR approach for the purpose of analyzing water movement in plant roots in vivo. CONCLUSIONS: Our preliminary data indicate a strongly transcellular component for the flux of water in roots.

Amino Acid Sequence↗