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PubMed1999

The Genome Sequence DataBase: towards an integrated functional genomics resource.

During 1998 the primary focus of the Genome Sequence DataBase (GSDB; http://www.ncgr.org/gsdb ) located at the National Center for Genome Resources (NCGR) has been to improve data quality, improve data collections, and provide new methods and tools to access and analyze data. Data quality has been improved by extensive curation of certain data fields necessary for maintaining data collections and for using certain tools. Data quality has also been increased by improvements to the suite of programs that import data from the International Nucleotide Sequence Database Collaboration (IC). The Sequence Tag Alignment and Consensus Knowledgebase (STACK), a database of human expressed gene sequences developed by the South African National Bioinformatics Institute (SANBI), became available within the last year, allowing public access to this valuable resource of expressed sequences. Data access was improved by the addition of the Sequence Viewer, a platform-independent graphical viewer for GSDB sequence data. This tool has also been integrated with other searching and data retrieval tools. A BLAST homology search service was also made available, allowing researchers to search all of the data, including the unique data, that are available from GSDB. These improvements are designed to make GSDB more accessible to users, extend the rich searching capability already present in GSDB, and to facilitate the transition to an integrated system containing many different types of biological data.

Animals↗
PubMed1999

Functional genomics: technological challenges and opportunities.

In April, the Merck Genome Research Institute and the National Cancer Institute's Cancer Genome Anatomy Project, both supporters of functional genomics technology development and research, brought together a group of 27 scientists working at the forefront of this new field. Here we report on the presentations, discussions, and outcomes from this highly interactive and stimulating meeting held at the Banbury Center.

Animals↗
PubMed2005

Why repetitive DNA is essential to genome function.

There are clear theoretical reasons and many well-documented examples which show that repetitive, DNA is essential for genome function. Generic repeated signals in the DNA are necessary to format expression of unique coding sequence files and to organise additional functions essential for genome replication and accurate transmission to progeny cells. Repetitive DNA sequence elements are also fundamental to the cooperative molecular interactions forming nucleoprotein complexes. Here, we review the surprising abundance of repetitive DNA in many genomes, describe its structural diversity, and discuss dozens of cases where the functional importance of repetitive elements has been studied in molecular detail. In particular, the fact that repeat elements serve either as initiators or boundaries for heterochromatin domains and provide a significant fraction of scaffolding/matrix attachment regions (S/MARs) suggests that the repetitive component of the genome plays a major architectonic role in higher order physical structuring. Employing an information science model, the 'functionalist' perspective on repetitive DNA leads to new ways of thinking about the systemic organisation of cellular genomes and provides several novel possibilities involving repeat elements in evolutionarily significant genome reorganisation. These ideas may facilitate the interpretation of comparisons between sequenced genomes, where the repetitive DNA component is often greater than the coding sequence component.

Animals↗
PubMed2002

[From structural to functional genomics: theoretical and applied aspects].

The paper considers the results of studies of human genome and several eukariotic genomes, which have led to the establishment of the new genetic subject Structural Genomics and some other scientific areas. Particular attention is given to Proteomics considered to be the most developed section of Functional Genomics. The systems approach is ascertained to underlie proteomic strategy to study the protein products of gene expression with an ultimate goal of drawing up complete protein indices for definite organisms, such as proteomes, human proteomes in particular. The studies carried out at the Research Center of Medical Genetics, Russian Academy of Medical Sciences, have been used as an example to show that advances in Functional Genomics and the data of proteomic studies may be employed both for solution of theoretical problems and for different applied purposes (for development of diagnostic methods, for control of products derived from genetically modified plants, as well as during cellular therapy).

Genome, Human↗
PubMed2004

[Functional genomics and its impact on the future medicine].

The sequencing of the human genome was completed in 2003. These data will affect all aspects of biological and medical sciences. Since almost all the genes of the genome are known, the diagnosis and therapy of the future is expected to evolve towards more personalized and efficient methods. Before these medical advancements become applicable, functional genomics must successfully determine the cellular role all the genes in the genome. Comprehensive functional studies will require suitable animal models. Although many mammalian species are used in biological and medical experiments, the mouse emerges as a key model organism in studies of human genes. The power of the mouse model system comes from its extensive physiological and pathological similarities to humans and from technological advancements offered by mouse genetics. Recently, a project called ENCODE was launched to accelerate this monumental effort of gene analysis. Once gene analysis is completed, the face of medicine will change markedly. The greatest impact is expected on the front of individual diagnosis of disease genes and personalized treatments of patients.

Animals↗
PubMed2006

Three minimum tile paths from bacterial artificial chromosome libraries of the soybean (Glycine max cv. 'Forrest'): tools for structural and functional genomics.

BACKGROUND: The creation of minimally redundant tile paths (hereafter MTP) from contiguous sets of overlapping clones (hereafter contigs) in physical maps is a critical step for structural and functional genomics. Build 4 of the physical map of soybean (Glycine max L. Merr. cv. 'Forrest') showed the 1 Gbp haploid genome was composed of 0.7 Gbp diploid, 0.1 Gbp tetraploid and 0.2 Gbp octoploid regions. Therefore, the size of the unique genome was about 0.8 Gbp. The aim here was to create MTP sub-libraries from the soybean cv. Forrest physical map builds 2 to 4. RESULTS: The first MTP, named MTP2, was 14,208 clones (of mean insert size 140 kbp) picked from the 5,597 contigs of build 2. MTP2 was constructed from three BAC libraries (BamHI (B), HindIII (H) and EcoRI (E) inserts). MTP2 encompassed the contigs of build 3 that derived from build 2 by a series of contig merges. MTP2 encompassed 2 Gbp compared to the soybean haploid genome of 1 Gbp and does not distinguish regions by ploidy. The second and third MTPs, called MTP4BH and MTP4E, were each based on build 4. Each was semi-automatically selected from 2,854 contigs. MTP4BH was 4,608 B and H insert clones of mean size 173 kbp in the large (27.6 kbp) T-DNA vector pCLD04541. MTP4BH was suitable for plant transformation and functional genomics. MTP4E was 4,608 BAC clones with large inserts (mean 175 kbp) in the small (7.5 kbp) pECBAC1 vector. MTP4E was suitable for DNA sequencing. MTP4BH and MTP4E clones each encompassed about 0.8 Gbp, the 0.7 Gbp diploid regions and 0.05 Gbp each from the tetraploid and octoploid regions. MTP2 and MTP4BH were used for BAC-end sequencing, EST integration, micro-satellite integration into the physical map and high information content fingerprinting. MTP4E will be used for genome sequence by pooled genomic clone index. CONCLUSION: Each MTP and associated BES will be useful to deconvolute and ultimately finish the whole genome shotgun sequence of soybean.

Journal Article↗
PubMed2005

A highly efficient transformation protocol for Micro-Tom, a model cultivar for tomato functional genomics.

We report a highly efficient protocol for the Agrobacterium-mediated genetic transformation of a miniature dwarf tomato (Lycopersicon esculentum), Micro-Tom, a model cultivar for tomato functional genomics. Cotyledon explants of tomato inoculated with Agrobacterium tumefaciens (Rhizobium radiobacter) C58C1Rif(R) harboring the binary vector pIG121Hm generated a mass of chimeric non-transgenic and transgenic adventitious buds. Repeated shoot elongation from the mass of adventitious buds on selection media resulted in the production of multiple transgenic plants that originated from independent transformation events. The transformation efficiency exceeded 40% of the explants. This protocol could become a powerful tool for functional genomics in tomato.

DNA, Bacterial↗
PubMed2001

Towards a truly integrative biology through the functional genomics of yeast.

A complete library of mutant Saccharomyces cerevisiae strains, each deleted for a single representative of yeast's 6000 protein-encoding genes, has been constructed. This represents a major biological resource for the study of eukaryotic functional genomics. However, yeast is also being used as a test-bed for the development of functional genomic technologies at all levels of analysis, including the transcriptome, proteome and metabolome.

Fungal Proteins↗
PubMed2026

Virus-induced gene silencing as a tool for functional genomics in weeds: Challenges and future directions.

Virus-induced gene silencing (VIGS) has evolved from a conceptual demonstration of antiviral defense into a pivotal reverse-genetics platform for plant functional genomics. By exploiting engineered DNA- or RNA-based viral vectors, VIGS enables rapid, sequence-specific transcript knockdown through RNA-mediated degradation of target transcripts. Recent refinements in vector design, inoculation strategies, and viral species selection, such as TRV, BSMV, and FoMV, have expanded its application to previously recalcitrant plants, including major crops and emerging weed models. In weeds, functional genomics remains particularly challenging due to high genetic variability, limited genomic resources, and incompatibility with conventional viral vectors and transformation systems. In this context, VIGS provides a tractable approach to investigate genes associated with herbicide resistance, metabolic adaptation, and stress tolerance. Beyond weed biology, its application to studies of immune signaling, hormonal crosstalk, and secondary metabolism highlights VIGS as a versatile biotechnology for elucidating gene function and supporting next-generation strategies in plant improvement and integrated pest management.

Journal Article↗
PubMed2006

Development of electronic barcodes for use in plant pathology and functional genomics.

We have developed a novel 'electronic barcode' system that uses radio frequency identification (RFID) tags, cell phones, and portable computers to link phenotypic, environmental, and genomic data. We describe a secure, inexpensive system to record and retrieve data from plant samples. It utilizes RFID tags, computers, PDAs, and cell phones to link, record, and retrieve positional, and functional genomic data. Our results suggest that RFID tags can be used in functional genomic screens to record information that is involved in plant development or disease.

Arabidopsis↗
PubMedDate not supplied

Human proteomic databases: a powerful resource for functional genomics in health and disease.

Decoding of the genome information in terms of regulation and function will be the next great challenge in the life sciences in this millennium and indeed, today we are experiencing a rapid explosion of technology for the high throughput expression analysis of genes and their products (functional genomics). In particular, the field of proteomics is booming as proteins are often the functional molecules and represent important targets for the pharmaceutical industry. The proteomic technology is complex, and comprises a plethora of state-of-the-art techniques to resolve, identify and detect their interacting partners, as well as to store and communicate protein information in comprehensive two-dimensional polyacrylamide gel electrophoresis (2D PAGE) databases. Besides annotating the genome, these databases will offer a global approach to the study of gene expression both in health and disease. Here, we review the current status of human 2D PAGE databases that we are systematically constructing for the study of bladder cancer and skin ageing.

Databases, Protein↗
PubMedDate not supplied

Functional genomics as an emerging strategy for the investigation of central mechanisms in experimental hypertension.

Centrally mediated increases in sympathetic nerve activity and attenuated arterial baroreflexes contribute to the pathogenesis of hypertension. Despite the characterization of cellular and physiological mechanisms that regulate blood pressure and alterations that contribute to hypertension, the genetic and molecular basis of this pathophysiology remains poorly understood. Strategies to identify genes that contribute to central pathophysiologic mechanisms in hypertension include integrative biochemistry and physiology as well as functional genomics. This article summarizes recent progress in applying functional genomics to elucidate the genetic basis of altered central blood pressure regulatory mechanisms in hypertension. We describe approaches others and we have undertaken to investigate gene expression profiles in hypertensive models in order to identify genes that contribute to the pathogenesis of hypertension. Finally, we provide the readers a roadmap for negotiating the route from experimental findings of gene expression profiling to translating their therapeutic potential. The combination of gene expression profiling and the phenotypic characterization of in vitro and in vivo loss or gain of function experiments for candidate genes have the potential to identify genes involved in the pathogenesis of hypertension and may present novel targets for therapy.

Animals↗
PubMed2007

Guidelines for the selection of effective short-interfering RNA sequences for functional genomics.

To avoid long-double-stranded-RNA-dependent interferon response, short-interfering RNAs (siRNAs) are widely used for RNA interference (RNAi) in mammalian cells. siRNA-based RNAi, however, may not be readily available for the large-scale gene silencing essential for systematic functional genomics, because only a limited fraction of siRNAs is capable of inducing effective mammalian RNAi. siRNAs correctly designed for the knockdown of a particular gene may also destroy the functions of unrelated genes. Here, we describe algorithms by which these serious setbacks can be eliminated in mammalian functional genomics using RNAi and a Web-based online software system for computing highly functional siRNA sequences with maximal target-specificity in mammalian RNAi.

Algorithms↗
PubMed2001

Broadcast interference - functional genomics.

Four recent papers mark a major shift in functional genomic analysis for multicellular organisms. RNA-mediated interference was applied to inactivate individual genes systematically on a genomic scale. These studies subjected a third of the genes in the genome of Caenorhabditis elegans to reverse genetic analysis.

Animals↗
PubMed2006

A novel data mining method to identify assay-specific signatures in functional genomic studies.

BACKGROUND: The highly dimensional data produced by functional genomic (FG) studies makes it difficult to visualize relationships between gene products and experimental conditions (i.e., assays). Although dimensionality reduction methods such as principal component analysis (PCA) have been very useful, their application to identify assay-specific signatures has been limited by the lack of appropriate methodologies. This article proposes a new and powerful PCA-based method for the identification of assay-specific gene signatures in FG studies. RESULTS: The proposed method (PM) is unique for several reasons. First, it is the only one, to our knowledge, that uses gene contribution, a product of the loading and expression level, to obtain assay signatures. The PM develops and exploits two types of assay-specific contribution plots, which are new to the application of PCA in the FG area. The first type plots the assay-specific gene contribution against the given order of the genes and reveals variations in distribution between assay-specific gene signatures as well as outliers within assay groups indicating the degree of importance of the most dominant genes. The second type plots the contribution of each gene in ascending or descending order against a constantly increasing index. This type of plots reveals assay-specific gene signatures defined by the inflection points in the curve. In addition, sharp regions within the signature define the genes that contribute the most to the signature. We proposed and used the curvature as an appropriate metric to characterize these sharp regions, thus identifying the subset of genes contributing the most to the signature. Finally, the PM uses the full dataset to determine the final gene signature, thus eliminating the chance of gene exclusion by poor screening in earlier steps. The strengths of the PM are demonstrated using a simulation study, and two studies of real DNA microarray data--a study of classification of human tissue samples and a study of E. coli cultures with different medium formulations. CONCLUSION: We have developed a PCA-based method that effectively identifies assay-specific signatures in ranked groups of genes from the full data set in a more efficient and simplistic procedure than current approaches. Although this work demonstrates the ability of the PM to identify assay-specific signatures in DNA microarray experiments, this approach could be useful in areas such as proteomics and metabolomics.

Algorithms↗
PubMed2006

Application of functional genomics to primate endometrium: insights into biological processes.

Endometrium is a dynamic tissue that responds on a cyclic basis to circulating levels of the ovarian-derived steroid hormones, estradiol and progesterone. Functional genomics has enabled a global approach to understanding gene regulation in whole endometrial tissue in the setting of a changing hormonal milieu. The proliferative phase of the cycle, under the influence of estradiol, has a preponderance of genes involved in DNA synthesis and cell cycle regulation. Interestingly, genes encoding ion channels and cell adhesion, as well as angiogenic factors, are also highly regulated in this phase of the cycle. After the LH surge, different gene expression profiles are uniquely observed in the early secretory, mid-secretory (window of implantation), and late secretory phases. The early secretory phase is notable for up-regulation of multiple genes and gene families involved in cellular metabolism, steroid hormone metabolism, as well as some secreted glycoproteins. The mid-secretory phase is characterized by multiple biological processes, including up-regulation of genes encoding secreted glycoproteins, immune response genes with a focus on innate immunity, and genes involved in detoxification mechanisms. In the late secretory phase, as the tissue prepares for desquamation, there is a marked up-regulation of an inflammatory response, along with matrix degrading enzymes, and genes involved in hemostasis, among others. This monograph reviews hormonal regulation of gene expression in this tissue and the molecular events occurring therein throughout the cycle derived from functional genomics analysis. It also highlights challenges encountered in using human endometrial tissue in translational research in this context.

Animals↗
PubMed2000

Application of a functional genomics approach to identify differentially expressed genes in human myometrium during pregnancy and labour.

The molecular mechanisms regulating uterine relaxation and contraction during pregnancy are poorly understood. In the present study, we used for the first time a functional genomics approach applying gene array technology to identify novel candidate genes involved in the regulation of uterine quiescence and contractility during pregnancy. The purpose of this approach was to obtain a molecular snapshot of the expression profile of gene transcripts as a function of the time dependent process regulating myometrial quiescence. Using this approach, we found several genes whose expression in human myometrium was altered with the onset of labour. For example, the expression of insulin-like growth factor (IGF)-II, calgranulin A and B, and G-protein coupled receptor were decreased while the expression of IGF-binding proteins, Ca(2+)/CaM binding protein kinase C substrate, and angiotensin converting enzyme were increased in the labouring, compared with non-labouring, pregnant myometrium. The differentially-expressed genes include several genes whose roles in myometrial quiescence are yet to be understood, although they have been reported to regulate vascular smooth muscle tone. Our findings illustrate the advantage of a functional genomics approach over a single gene analysis in identifying a large number of novel and potentially important genes mediating uterine smooth muscle contractile activity.

Female↗
PubMed2004

Phenotypic profiles and functional genomics in Alzheimer's disease and in dementia with a vascular component.

Alzheimer's disease (AD) and dementia with vascular component (DVC) are the most prevalent forms of dementia. Both clinical entities share many similarities, but they differ in major phenotypic and genotypic profiles as revealed by structural and functional genomics studies. Comparative phenotypic studies have identified significant differences in 25% of more than 100 parametric variables, including anthropometry, cardiovascular function, aortic atherosclerosis, brain atrophy, blood pressure, blood biochemistry, hematology, thyroid function, folate and vitamin B12 levels, brain hemodynamics and lymphocyte markers. The phenotypic profile of patients with DVC differs from that of AD patients in the following: anthropometric values (weight, height); cardiovascular function (ECG, heart rate); blood pressure; lipid metabolism (HDL-CHO, TGs); uric acid metabolism; peripheral calcium homeostasis; liver function (GOT, GPT, GGT); alkaline phosphatase; lactate dehydrogenase; red and white blood cells; regional brain atrophy (left temporal region, inter-hippocampal distance); and left anterior blood flow velocity. Functional genomics studies incorporating APOE-related changes in biological markers extended the difference between AD and DVC up to 57%. Brain perfusion studies show a severe brain hypoperfusion in dementia associated with enlarged age-dependent arterial perfusion times. Structural genomics studies with AD-related genes, including APP, MAPT, APOE, PS1, PS2, A2M, ACE, AGT, cFOS and PRNP genes, demonstrate different genetic profiles in AD and DVC, with an absolute genetic variation rate ranging from 30% to 80%, depending upon genes and genetic clusters. Single gene analysis identifies relative genetic variations ranging from 0% to 5%. The relative polymorphic variation in genetic clusters integrated by two, three or four genes associated with AD ranges from 1% to 3%. The main phenotypic differences between AD and DVC are genotype-dependent, especially in AD, probably indicating that different genomic factors are determinant for the expression of dementia symptoms which might be accelerated or induced by environmental and/or cerebrovascular factors.

Alzheimer Disease↗