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PubMed1998

Indigo: a World-Wide-Web review of genomes and gene functions.

The present article describes a genome database reviewing gene-related knowledge of two model bacteria, Bacillus subtilis and Escherichia coli. The database, Indigo, is open through the World-Wide Web (http://indigo.genetique.uvsq.fr). The concept used for organising the data, the concept of neighbourhood, allows one to explore the database content in an efficient although somewhat unusual way. Here, genes are related to each other by a variety of neighbourhoods, including proximity in the chromosome, phylogenetic kinship, participation in a common metabolic pathway, common presence in an article of the literature, or similar use of the genetic code. Several examples illustrate how this concept of neighbourhood permits one to review the available knowledge about a given gene or gene family, and elaborate unexpected, but revealing, analyses about gene functions.

Bacillus subtilis↗

PubMed2003

Post-genomic insights into plant nodulation symbioses.

Several legume genes involved in establishing nitrogen fixation have been discovered using functional genomics; when mutated, the genes affect symbioses, and all encode receptor kinases. This provides long-awaited insights into a complex plant-bacterium interaction and heralds the possibility of extending the range of plants susceptible to nitrogen-fixing nodulation.

Genomics↗

PubMed2000

A skeletal gene database.

Systematic organization of documented data coupled with ready accessibility is of great value to research. Catalogs and databases are created specifically to meet this purpose. The Skeletal Gene Database evolves as part of the Skeletal Genome Anatomy Project (SGAP), an ongoing multi-institute collaborative effort, to study the functional genome of bone and other skeletal tissues. The primary objective of the Skeletal Gene Database is to create a contemporary list of skeletal-related genes, offering the following information for each gene: gene name, protein name, cellular function, disease(s) caused by mutation of the corresponding gene, chromosomal location, LocusLink number, gene size, exon/intron numbers, messenger RNA (mRNA) coding region size, protein size/molecular weight, Online Mendelian Inheritance in Man (OMIM) number of the gene, UniGene assignment, and PubMed reference. The database includes genes already known and published in the literature as well as novel genes not yet characterized but known to be expressed in skeletal tissue. It will be posted on the web for easy access and swift referencing. The data will be updated in tempo with current and future research, thereby providing an invaluable service to the scientific community interested in obtaining information on bone-related genes.

Bone and Bones↗

PubMed2003

Infectious delivery of a 135-kb LDLR genomic locus leads to regulated complementation of low-density lipoprotein receptor deficiency in human cells.

The ability to deliver efficiently a complete genomic DNA locus to human and rodent cells will likely find widespread application in functional genomic studies and novel gene therapy protocols. In contrast to a cDNA expression cassette, the use of a complete genomic DNA locus delivers a transgene intact with its native promoter, the exons, all the intervening introns, and the regulatory regions. The presence of flanking, noncoding genomic DNA sequences could prove critical for prolonged and appropriate gene expression. We have recently developed a technology for the rapid conversion of bacterial artificial chromosome (BAC) clones into high-capacity herpes simplex virus-based amplicon vectors. Here, we express the human low-density lipoprotein receptor (LDLR), mutated in familial hypercholesterolemia (FH), from a 135-kb BAC insert. The infectious LDLR genomic locus vectors were shown to express at physiologically appropriate levels in three contexts. First, the LDLR locus was expressed appropriately in the ldl(-/-)a7 Chinese hamster ovary (CHO) cell line immediately following infectious delivery; second, the locus was maintained within a replicating episomal vector and expressed at broadly physiological levels in CHO cells for 3 months following infectious delivery; and third, the locus was efficiently expressed in human fibroblasts derived from FH patients. Finally, we show that the infectious LDLR locus retains classical expression regulation by sterol levels in human cells. This long-term expression and physiological regulation of LDLR prepares the way for in vivo functional studies of infectious delivery of BAC inserts.

Animals↗

PubMed2005

Proteomic analysis of Korean ginseng (Panax ginseng C.A. Meyer).

Although many reports have been published regarding the pharmacological effects of ginseng, little is known about the biochemical pathways operant in ginsenoside biosynthesis, or the genes involved therein. Proteomics analysis is an approach to elucidate the physiological characteristics and biosynthetic pathways of ginsenosides, main components of ginseng. In this review, we introduced the recent progress in proteomics studies of ginseng (Panax ginseng C.A. Meyer). We briefly reference the genomic analyses of P. ginseng, without which proteomics approaches would have been impossible. Functional genomics studies regarding secondary metabolism in P. ginseng are also introduced here, in order to introduce possible future prospects for further study.

Databases, Genetic↗

PubMed2026

Deciphering differential mRNA and lncRNA expression profiles in response to PEG simulated drought stress in cucumber (Cucumis sativus L.).

Cucumber (Cucumis sativus L.), a vital fruit vegetable of the Cucurbitaceae family, originated in India ∼ 3000 years ago. It is widely used in the culinary, therapeutic, and cosmetic sectors. Cucumber cultivation is significantly impacted by drought stress, especially in arid and semi-arid regions. This study investigates the molecular response to drought using two contrasting cucumber lines: WBC-23-2 (drought-tolerant) and DGPC-59 (drought-sensitive). Drought was simulated using polyethylene glycol (PEG), and effects on physiological and biochemical traits were evaluated. The tolerant line exhibited reduced leaf wilting and higher relative water content (RWC). Based on these physiological markers, transcriptomic profiling was employed to identify the underlying regulatory networks. Analysis identified 4,736 DEGs, suggesting that the tolerant line's superior resilience is driven by preferential activation of genes involved in photosynthesis and glutathione metabolism. Conversely, the sensitive genotype showed enrichment in organonitrogen compound catabolism and water deprivation response. This divergence is further reflected in the regulation of 155 transcription factors (TFs) across various families, indicating distinct regulatory architectures between the two lines. Additionally, 774 drought-responsive long non-coding RNAs (lncRNAs) were identified, acting via cis, trans, and competing endogenous RNA (ceRNA) mechanisms to modulate gene expression. Key candidate genes associated with drought tolerance included WAT1-related protein At5g64700, thaumatin-like protein, berberine bridge enzyme-like 18, probable WRKY transcription factor, and pathogenesis-related protein 1. This study reveals a complex regulatory network of mRNAs, lncRNAs, and TFs underlying drought response and provides a valuable foundation for breeding drought-resilient cucumber cultivars. A web-based genomic resource, CsDTDb, has been developed and made publicly available to facilitate future functional genomics studies related to drought tolerance in cucumber.

DEGs↗

PubMed2002

GARNet, the Genomic Arabidopsis Resource Network.

GARNet, the Genomic Arabidopsis Resource Network, was created to establish UK-based facilities for functional genomic research on Arabidopsis thaliana. In addition, GARNet provides a platform for international Arabidopsis research and for research on other plant species. To use the GARNet facilities apply via the website: http://garnet.arabidopsis.org.uk. All GARNet services and resources are publicly available, and data created using the GARNet resources will be freely distributed via databases held at the Nottingham Arabidopsis Stock Centre and the John Innes Centre.

Arabidopsis↗

PubMed2005

Assessing the limits of genomic data integration for predicting protein networks.

Genomic data integration--the process of statistically combining diverse sources of information from functional genomics experiments to make large-scale predictions--is becoming increasingly prevalent. One might expect that this process should become progressively more powerful with the integration of more evidence. Here, we explore the limits of genomic data integration, assessing the degree to which predictive power increases with the addition of more features. We focus on a predictive context that has been extensively investigated and benchmarked in the past-the prediction of protein-protein interactions in yeast. We start by using a simple Naive Bayes classifier for integrating diverse sources of genomic evidence, ranging from coexpression relationships to similar phylogenetic profiles. We expand the number of features considered for prediction to 16, significantly more than previous studies. Overall, we observe a small, but measurable improvement in prediction performance over previous benchmarks, based on four strong features. This allows us to identify new yeast interactions with high confidence. It also allows us to quantitatively assess the inter-relations amongst different genomic features. It is known that subtle correlations and dependencies between features can confound the strength of interaction predictions. We investigate this issue in detail through calculating mutual information. To our surprise, we find no appreciable statistical dependence between the many possible pairs of features. We further explore feature dependencies by comparing the performance of our simple Naive Bayes classifier with a boosted version of the same classifier, which is fairly resistant to feature dependence. We find that boosting does not improve performance, indicating that, at least for prediction purposes, our genomic features are essentially independent. In summary, by integrating a few (i.e., four) good features, we approach the maximal predictive power of current genomic data integration; moreover, this limitation does not reflect (potentially removable) inter-relationships between the features.

Algorithms↗

PubMed2004

Plant genomics: the third wave.

Completing the primary genomic sequence of Arabidopsis thaliana was a major milestone, being the first plant genome and only the third high-quality finished eukaryotic genome sequence. Understanding how the genome sequence comprehensively encodes developmental programs and environmental responses is the next major challenge for all plant genome projects. This requires fully characterizing the genes, the regulatory sequences, and their functions. We discuss several functional genomics approaches to decode the linear sequence of the reference plant Arabidopsis thaliana, including full-length cDNA collections, microarrays, natural variation, knockout collections, and comparative sequence analysis. Genomics provides the essential tools to speed the work of the traditional molecular geneticist and is now a scientific discipline in its own right.

Arabidopsis↗

PubMed2006

Screening for plant transporter function by expressing a normalized Arabidopsis full-length cDNA library in Xenopus oocytes.

BACKGROUND: We have developed a functional genomics approach based on expression cloning in Xenopus oocytes to identify plant transporter function. We utilized the full-length cDNA databases to generate a normalized library consisting of 239 full-length Arabidopsis thaliana transporter cDNAs. The genes were arranged into a 96-well format and optimized for expression in Xenopus oocytes by cloning each coding sequence into a Xenopus expression vector. RESULTS: Injection of 96 in vitro transcribed cRNAs from the library in pools of columns and rows into oocytes and subsequent screening for glucose uptake activity identified three glucose transporters. One of these, AtSTP13, had not previously been experimentally characterized. CONCLUSION: Expression of the library in Xenopus oocytes, combined with uptake assays, has great potential in assignment of plant transporter function and for identifying membrane transporters for the many plant metabolites where a transporter has not yet been identified.

Journal Article↗

PubMed2006

[Progress in research on forest tree genomics].

This is a review on forest tree genomics. In structural genomics, genetic maps have been constructed for up to 40 forest tree species, more than 30 commercially important QTLs have been detected, comparative mapping has been done for a few of forest tree taxa, and whole genome sequencing was completed for Populus and is under way for Eucalyptus. For functional genomics, huge EST databases from multiple tissues of a number of tree species have been rapidly accumulated, and molecular analyses on secondary growth and wood formation, flowering, and cold hardiness have given some insights into the metabolic pathways of those tree-specific development processes. The prospects of development in tree genomics are discussed, which may be implicative for accelerating forest tree genomics studies in China.

Genome, Plant↗

PubMed1986

[Changes in cAMP reception in the cytosol of the developing rat kidney].

The age-dependent changes in the cAMP-binding activity of renal papillary cytosol were studied in intact rats and in animals with experimental delay in development of the concentrating renal function induced by hydrocortisone injection in early postnatal period. The age dynamics of specific cAMP binding in the experimental group differ significantly from that in intact and control (sham injected) animals. It is suggested that the developmental changes in experimental animal kidneys are due to disturbances in hormonal regulation of renal tissue differentiation caused by the changes in intracellular receptors of cAMP. Another possible reason for the observed delay of development of the renal function is the weakening of the stimulating effect of endogenous cAMP on the genome function due to cAMP receptor deficiency in the cell.

Aging↗

PubMed2026

Multiomics approaches to cardiovascular disease: technological innovations and clinical translation.

Cardiovascular diseases (CVDs) remain the leading cause of global morbidity and mortality, reflecting a persistent gap between clinical phenotyping and the molecular mechanisms that govern disease initiation, progression, and interindividual variability. Recent advances in emerging technologies have fundamentally reshaped cardiovascular physiology by enabling high-resolution, cross-layer profiling of the heart and vasculature across genomic, epigenomic, transcriptomic, proteomic, metabolomic, lipidomic, glycomic, and fluxomic layers, increasingly at single-cell and spatial resolution. These approaches reveal CVD as a coordinated, multilayered process driven by dynamic interactions among cell types, regulatory programs, and metabolic states, rather than isolated gene-level defects. In this review, we synthesize how emerging multiomic, computational, and functional genomic technologies are redefining the study of cardiovascular disease across molecular, cellular, and tissue levels. We highlight recent innovations in single-cell and spatial atlases, long-read sequencing, proteomics and metabolomics, integrative data modeling, and functional omics approaches, including genome-scale perturbation screens and single-cell perturbation frameworks. These platforms enable mechanistic dissection of regulatory circuits, distinguish primary disease drivers from secondary adaptations, and directly assess therapeutic reversibility, advancing the field beyond associative biomarker discovery toward mechanism-guided target prioritization. We further discuss key methodological and translational challenges accompanying high-dimensional cardiovascular data, including preanalytical variability, control selection, temporal misalignment across molecular layers, population diversity, and reference bias. By integrating technological innovation with computational rigor and functional validation, this review frames emerging omics-enabled strategies as a unified, physiologically grounded framework for translating molecular insight into clinically meaningful cardiovascular phenotypes and advancing precision cardiovascular medicine.

Humans↗

PubMed2005

Genomic views of chromatin.

With the availability of complete genome sequences for a number of organisms, a major challenge has become to understand how chromatin and its epigenetic modifications regulate genome function. High-throughput microarray and sequencing technologies are being combined with biochemical and immunological enrichment methods to obtain genome-scale views of chromatin in a variety of organisms. The data pinpoint novel, genomic elements and expansive chromatin domains, and offer insight into the functions of histone modifications. In parallel, state-of-the-art imaging techniques are being used to investigate higher-order chromatin organization, and are beginning to bridge our understanding of chromatin biology with that of chromosome structure.

Acetylation↗

PubMed2002

Search for potential vaccine candidate open reading frames in the Bacillus anthracis virulence plasmid pXO1: in silico and in vitro screening.

A genomic analysis of the Bacillus anthracis virulence plasmid pXO1, aimed at identifying potential vaccine candidates and virulence-related genes, was carried out. The 143 previously defined open reading frames (ORFs) (R. T. Okinaka, K. Cloud, O. Hampton, A. R. Hoffmaster, K. K. Hill, P. Keim, T. M. Koehler, G. Lamke, S. Kumano, J. Mahillon, D. Manter, Y. Martinez, D. Ricke, R. Svensson, and P. J. Jackson, J. Bacteriol. 181:6509-6515, 1999) were subjected to extensive sequence similarity searches (with the nonredundant and unfinished microbial genome databases), as well as motif, cellular location, and domain analyses. A comparative genomics analysis was conducted with the related genomes of Bacillus subtilis, Bacillus halodurans, and Bacillus cereus and the pBtoxis plasmid of Bacillus thuringiensis var. israeliensis. As a result, the percentage of ORFs with clues about their functions increased from approximately 30% (as previously reported) to more than 60%. The bioinformatics analysis permitted identification of novel genes with putative relevance for pathogenesis and virulence. Based on our analyses, 11 putative proteins were chosen as targets for functional genomics studies. A rapid and efficient functional screening method was developed, in which PCR-amplified full-length linear DNA products of the selected ORFs were transcribed and directly translated in vitro and their immunogenicities were assessed on the basis of their reactivities with hyperimmune anti-B. anthracis antisera. Of the 11 ORFs selected for analysis, 9 were successfully expressed as full-length polypeptides, and 3 of these were found to be antigenic and to have immunogenic potential. The latter ORFs are currently being evaluated to determine their vaccine potential.

Animals↗

PubMed2003

Imaging genomics.

The recent completion of a working draft of the human genome sequence promises to provide unprecedented opportunities to explore the genetic basis of individual differences in complex behaviours and vulnerability to neuropsychiatric illness. Functional neuroimaging, because of its unique ability to assay information processing at the level of brain within individuals, provides a powerful approach to such functional genomics. Recent fMRI studies have established important physiological links between functional genetic polymorphisms and robust differences in information processing within distinct brain regions and circuits that have been linked to the manifestation of various disease states such as Alzheimer's disease, schizophrenia and anxiety disorders. Importantly, all of these biological relationships have been revealed in relatively small samples of healthy volunteers and in the absence of observable differences at the level of behaviour, underscoring the power of a direct assay of brain physiology like fMRI in exploring the functional impact of genetic variation.

Apolipoproteins E↗

PubMed2001

Concept of immunomics: a new frontier in the battle for gene function?

At the beginning of the 21st century, biology will try to address the function of a large number of new genes. From the perspective of technologies applied today to functional genomics, this task appears to be more complex than the effort invested in the sequencing of the human genome. Conceptually, a high-throughput approach permitting correlation between newly discovered genes and functional properties of their protein products has yet to be developed. To address relationships between tens of thousands of genes and their cognate proteins, novel interdisciplinary technologies need to emerge. In this paper, a new idea of immunomics is presented and an experimental strategy is outlined to circumvent some of the restrictions associated with methodologies currently in use. It is proposed that cloned segments of genomic DNA are used for genetic immunization to obtain a large collection of antibodies, and to generate microarrays of these antibodies for tracing differentially expressed cellular proteins.

Animals↗

PubMed1999

Genomics for food biotechnology: prospects of the use of high-throughput technologies for the improvement of food microorganisms.

Functional genomics is currently the most effective approach for increasing the knowledge at the molecular level of metabolic and adaptive processes in whole cells. High-throughput technologies, such as DNA microarrays, and improved two-dimensional electrophoresis methods combined with tandem mass-spectroscopy, supported by bioinformatics, are useful tools for food biotechnology, which depends on detailed knowledge of the properties of food microbes (and pathogens) in their industrial, food and consumer environments. Genomics of food microbes, based on rapidly emerging genome sequence information, generates valuable knowledge that can be used for metabolic engineering, improving cell factories and development of novel preservation methods. Furthermore, pre- and probiotic studies, characterization of stress responses, studies of microbial ecology and, last but not least, development of novel risk assessment procedures will be facilitated.

Bacillus subtilis↗