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Results for “Functional Genomics”

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At least 253 records · Page 14Linked to original sources
PubMed2004

A single-LTR HIV-1 vector optimized for functional genomics applications.

The development of high-throughput methods of converting simple expression cassettes into lentiviral vectors and expediting the process of retrieving vector genomes that carry candidate genes from host DNA will facilitate the use of lentiviral vectors as an efficient means of screening novel gene function. To optimize lentiviral vectors for functional genomic applications we have developed a shuttle HIV-1 vector containing a single LTR. Incorporation of a LoxP site and the Sbfl restriction enzyme site into the vector LTR allowed for the rescue of integrated vector genomes into individual bacterial clones. Vector DNA isolated from bacteria was used for a second round of functional screening. Furthermore, we identified a continuous DNA sequence containing all the cis elements required for vector production. Incorporating the isolated sequence into expression cassettes resulted in the generation of HIV-1 vectors in a single cloning step, which imparts a simplified procedure for converting cDNA expression cassettes into single-LTR lentiviral vectors.

Base Sequence↗
PubMed2001

Structural and functional genomics in domestic animals: the way to understand the phenotype.

Molecular approaches to genome analysis in livestock are reviewed by discussing the contribution of molecular genome analysis to the identification of the genetic variation underlying phenotypic variation (structural genome analysis) and to the definition of the trait-associated and environment-affected gene expression (functional genome analysis) as an important prerequisite to understanding the formation of a phenotype. Aspects of using mapped 'quantitative trait loci' (QTL) or gene variants as well as the identified trait-associated and environment-affected gene expression profile in livestock production are expounded.

Journal Article↗
PubMed2025

The Annotated Blueprint: Integrated Functional Genomic Resources for a model Tetraploid Wheat Triticum turgidum cv. Kronos.

Triticum turgidum cv. Kronos is a tetraploid wheat cultivar that underpins one of the richest community platforms for functional genomics. Over the past decade, about 3,000 exome- and promoter-capture datasets, linked to mutagenized seed stocks, and transcriptomic and phenotypic resources have accumulated, yet the absence of a reference genome has constrained their impact. Here, we present a chromosome-scale reference genome of Kronos with high-confidence annotations, including manual curation of over 1,000 disease resistance (NLR) genes. This reference revealed previously hidden NLR diversity and clarified their genomic organization at chromosomal ends. Re-analysis of exome- and promoter-capture datasets enabled high-resolution mutation discovery in genes and regulatory regions that were previously inaccessible, uncovering the full standing variation present in Kronos mutant lines. We further re-curated transcriptomic and small RNA datasets, generating improved, genome-wide maps of microRNAs and phasiRNAs important for wheat development. Collectively, these resources elevate Kronos to reference quality and establish it as a versatile platform for functional and translational wheat research.

Journal Article↗
PubMedDate not supplied

Positional candidate gene approach and functional genomics strategy in atopy gene discovery.

As part of our effort in searching for genetic factors contributing to the susceptibility to atopy and asthma, we have focused on a 'positional candidate' approach in identifying CC chemokine gene polymorphisms and their functional correlates. To date, a single-nucleotide polymorphism was found in the RANTES proximal promoter region, and a high degree of sequence variation was identified in the 3'-untranslated region -of the eotaxin gene. Also, we are pursuing a series of functional genomics' studies designed to identify differentially expressed genes in a panel of allergen-specific human Th2 cells and in antigen-induced hyperreactive murine airways. This is performed using a combination of protocols including suppression-subtractive hybridization and cDNA array hybridizations with 18,363 nonredundant sequences. A data base is being generated from a list of subtracted cDNA sequences and array-positive clones to categorize differentially expressed genes. Sequences are being placed in biologically relevant categories on the basis of function (i.e., receptor, signal transduction pathways, transcription, and translation). With the increasing amount of sequence information compiled by the Human Genome Project, it will be particularly challenging to integrate functional gene-mapping efforts to define and compare aberrant genotypes/phenotypes in atopic diseases.

Chemokine CCL5↗
PubMed2026

Emerging Principles in Spatial Functional Genomics.

Spatial transcriptomic and proteomic atlases have enabled mapping of gene programs within intact tissues, but these measurements remain largely descriptive and do not define the mechanisms controlling tissue biology. Pooled CRISPR screening provides scalable causal interrogation of gene function but remains largely confined to dissociated systems that lack spatial context. In vivo spatial functional genomics (SFG) bridges these approaches by integrating genetic perturbations with in situ transcriptomic and proteomic readouts to measure gene function within intact tissue ecosystems. By preserving spatial organization, SFG enables interpretation of perturbations through effects on cell-cell interactions, diffusible signals, multicellular niches, and tissue architecture. Here, we outline key design axes of SFG: perturbation strategy, barcoding strategy, and phenotypic readout. We discuss computational challenges, including spatial autocorrelation, neighborhood dependence, and context-aware null modeling, and highlight how SFG reveals non-cell-autonomous, architecture-dependent mechanisms of gene function, advancing toward predictive models of tissue organization and gene function.

Genomics↗
PubMed2003

Photorhabdus: towards a functional genomic analysis of a symbiont and pathogen.

Pathogenicity and symbiosis are central to bacteria-host interactions. Although several human pathogens have been subjected to functional genomic analysis, we still understand little about bacteria-invertebrate interactions despite their ecological prevalence. Advances in our knowledge of this area are often hindered by the difficulty of isolating and working with invertebrate pathogenic bacteria and their hosts. Here we review studies on pathogenicity and symbiosis in an insect pathogenic bacterium Photorhabdus and its entomopathogenic nematode vector and model insect hosts. Whilst switching between these hosts, Photorhabdus changes from a state of symbiosis with its nematode vector to one of pathogenicity towards its new insect host and both the bacteria and the nematode then cooperatively exploit the dying insect. We examine candidate genes involved in symbiosis and pathogenicity, their secretion and expression patterns in culture and in the host, and begin to dissect the extent of their genetic coregulation. We describe the presence of several large genomic islands, putatively involved in pathogenicity or symbiosis, within the otherwise Yersinia-like backbone of the Photorhabdus genome. Finally, we examine the emerging comparative genomics of the Photorhabdus group and begin to describe the interrelationship between anti-invertebrate virulence factors and those used against vertebrates.

Animals↗
PubMed2005

Moss (Physcomitrella patens) functional genomics--Gene discovery and tool development, with implications for crop plants and human health.

Recently, the moss Physcomitrella patens was established as a versatile tool in plant functional genomics. Mosses represent the oldest living clade of land plants, separated by approximately 450 million years of evolution from crop plants. Consequently, mosses contain metabolites and genes not known from these seed plants. In Physcomitrella, nuclear genes can be targeted by homologous recombination as efficiently as in yeast, allowing reverse genetics approaches in plants at high-throughput levels for the first time. Comprehensive expressed sequence tag databases gave new insights into the levels of diversity in land plants which are now ready to be exploited in plant biotechnology. In forward genetics screens, saturated tagged mutant collections help to unravel novel gene - function relationships. Additionally, proteomics tools are at hand to analyse subcellular proteomes, as well as the phosphoproteome, as the core of eukaryotic signal transduction. Moreover, specifically designed Physcomitrella strains can produce human therapeutic proteins safely and cost-effectively in bioreactors.

Bioreactors↗
PubMed2004

GFINDer: Genome Function INtegrated Discoverer through dynamic annotation, statistical analysis, and mining.

Statistical and clustering analyses of gene expression results from high-density microarray experiments produce lists of hundreds of genes regulated differentially, or with particular expression profiles, in the conditions under study. Independent of the microarray platforms and analysis methods used, these lists must be biologically interpreted to gain a better knowledge of the patho-physiological phenomena involved. To this end, numerous biological annotations are available within heterogeneous and widely distributed databases. Although several tools have been developed for annotating lists of genes, most of them do not give methods for evaluating the relevance of the annotations provided, or for estimating the functional bias introduced by the gene set on the array used to identify the gene list considered. We developed Genome Functional INtegrated Discoverer (GFINDer), a web server able to automatically provide large-scale lists of user-classified genes with functional profiles biologically characterizing the different gene classes in the list. GFINDer automatically retrieves annotations of several functional categories from different sources, identifies the categories enriched in each class of a user-classified gene list and calculates statistical significance values for each category. Moreover, GFINDer enables the functional classification of genes according to mined functional categories and the statistical analysis is of the classifications obtained, aiding better interpretation of microarray experiment results. GFINDer is available online at http://www.medinfopoli.polimi.it/GFINDer/.

Computational Biology↗
PubMed2001

Viral vectors as part of an integrated functional genomics program.

Over the past decade, viral vectors have slowly gained mainstream acceptance in the neuroscience and genetics communities for the in vivo study of gene function [1]. Using stereotactic techniques, it is possible to characterize neuroanatomical relationships through the delivery of neurotropic viral vectors to specific brain regions. More sophisticated studies combine viral vectors with other methods of genetic manipulation such as germline transgenic mice. As more is learned about the properties of different viral vectors, it has become possible to use viral vectors to test hypotheses about the function of genes, through targeted in vivo delivery to the central nervous system (CNS). The effects of gene expression in the brain can be measured on the molecular, biochemical, electrophysiological, morphological, and behavioral levels. We propose that viral vectors should be considered as part of an integrated functional genomics platform in the CNS.

Animals↗
PubMed2003

The PlantsP and PlantsT Functional Genomics Databases.

PlantsP and PlantsT allow users to quickly gain a global understanding of plant phosphoproteins and plant membrane transporters, respectively, from evolutionary relationships to biochemical function as well as a deep understanding of the molecular biology of individual genes and their products. As one database with two functionally different web interfaces, PlantsP and PlantsT are curated plant-specific databases that combine sequence-derived information with experimental functional-genomics data. PlantsP focuses on proteins involved in the phosphorylation process (i.e., kinases and phosphatases), whereas PlantsT focuses on membrane transport proteins. Experimentally, PlantsP provides a resource for information on a collection of T-DNA insertion mutants (knockouts) in each kinase and phosphatase, primarily in Arabidopsis thaliana, and PlantsT uniquely combines experimental data regarding mineral composition (derived from inductively coupled plasma atomic emission spectroscopy) of mutant and wild-type strains. Both databases provide extensive information on motifs and domains, detailed information contributed by individual experts in their respective fields, and descriptive information drawn directly from the literature. The databases incorporate a unique user annotation and review feature aimed at acquiring expert annotation directly from the plant biology community. PlantsP is available at http://plantsp.sdsc.edu and PlantsT is available at http://plantst.sdsc.edu.

Arabidopsis↗
PubMed2005

ESTree db: a tool for peach functional genomics.

BACKGROUND: The ESTree db http://www.itb.cnr.it/estree/ represents a collection of Prunus persica expressed sequenced tags (ESTs) and is intended as a resource for peach functional genomics. A total of 6,155 successful EST sequences were obtained from four in-house prepared cDNA libraries from Prunus persica mesocarps at different developmental stages. Another 12,475 peach EST sequences were downloaded from public databases and added to the ESTree db. An automated pipeline was prepared to process EST sequences using public software integrated by in-house developed Perl scripts and data were collected in a MySQL database. A php-based web interface was developed to query the database. RESULTS: The ESTree db version as of April 2005 encompasses 18,630 sequences representing eight libraries. Contig assembly was performed with CAP3. Putative single nucleotide polymorphism (SNP) detection was performed with the AutoSNP program and a search engine was implemented to retrieve results. All the sequences and all the contig consensus sequences were annotated both with blastx against the GenBank nr db and with GOblet against the viridiplantae section of the Gene Ontology db. Links to NiceZyme (Expasy) and to the KEGG metabolic pathways were provided. A local BLAST utility is available. A text search utility allows querying and browsing the database. Statistics were provided on Gene Ontology occurrences to assign sequences to Gene Ontology categories. CONCLUSION: The resulting database is a comprehensive resource of data and links related to peach EST sequences. The Sequence Report and Contig Report pages work as the web interface core structures, giving quick access to data related to each sequence/contig.

Chromosome Mapping↗
PubMed1985

The alpha sequence of the cytomegalovirus genome functions as a cleavage/packaging signal for herpes simplex virus defective genomes.

Although herpes simplex virus (HSV) 1 and human cytomegalovirus (CMV) differ remarkably in their biological characteristics and do not share nucleotide sequence homology, they have in common a genome structure that undergoes sequence isomerization of the long (L) and short (S) components. We have demonstrated that the similarity in their genome structures extends to the existence of an alpha sequence in the CMV genome as previously defined for the HSV genome. As such, the alpha sequence is predicted to participate as a cis-replication signal in four viral functions: (i) inversion, (ii) circularization, (iii) amplification, and (iv) cleavage and packaging of progeny viral DNA. We have constructed a chimeric HSV-CMV amplicon (herpesvirus cis replication functions carried on an Escherichia coli plasmid vector) substituting CMV DNA sequences for the HSV cleavage/packaging signal in a test of the ability of this CMV L-S junction sequence to provide the cis signal for cleavage/packaging in HSV 1-infected cells. We demonstrate that the alpha sequence of CMV DNA functions as a cleavage/packaging signal for HSV defective genomes. We show the structure of this sequence and provide a functional demonstration of cross complementation in replication signals which have been preserved over evolutionary time in these two widely divergent human herpesviruses.

Animals↗
PubMed2004

[RNA interference in functional genomics and medical research].

RNA interference (RNAi) is a post-transcriptional gene silencing process by targeting mRNA for degradation in a sequence-specific manner. This powerful platform has enormous potential in functional genomics and medical research. As a tool to knock out expression of specific genes in a variety of organisms, RNAi was used to investigate gene function in a high throughput fashion. Highly conserved in evolution RNAi appears to have evolved as a cellular defense mechanism in plants and animals to suppress viral infection, transposon jumping and endogenous aberrant genes. Exploiting the natural mechanism, the researchers can shut down disease-causing genes and develop novel therapeutics against infection, tumor and other disease.

Gene Expression Regulation↗
PubMed2005

Functional genomics by integrated analysis of metabolome and transcriptome of Arabidopsis plants over-expressing an MYB transcription factor.

The integration of metabolomics and transcriptomics can provide precise information on gene-to-metabolite networks for identifying the function of unknown genes unless there has been a post-transcriptional modification. Here, we report a comprehensive analysis of the metabolome and transcriptome of Arabidopsis thaliana over-expressing the PAP1 gene encoding an MYB transcription factor, for the identification of novel gene functions involved in flavonoid biosynthesis. For metabolome analysis, we performed flavonoid-targeted analysis by high-performance liquid chromatography-mass spectrometry and non-targeted analysis by Fourier-transform ion-cyclotron mass spectrometry with an ultrahigh-resolution capacity. This combined analysis revealed the specific accumulation of cyanidin and quercetin derivatives, and identified eight novel anthocyanins from an array of putative 1800 metabolites in PAP1 over-expressing plants. The transcriptome analysis of 22,810 genes on a DNA microarray revealed the induction of 38 genes by ectopic PAP1 over-expression. In addition to well-known genes involved in anthocyanin production, several genes with unidentified functions or annotated with putative functions, encoding putative glycosyltransferase, acyltransferase, glutathione S-transferase, sugar transporters and transcription factors, were induced by PAP1. Two putative glycosyltransferase genes (At5g17050 and At4g14090) induced by PAP1 expression were confirmed to encode flavonoid 3-O-glucosyltransferase and anthocyanin 5-O-glucosyltransferase, respectively, from the enzymatic activity of their recombinant proteins in vitro and results of the analysis of anthocyanins in the respective T-DNA-inserted mutants. The functional genomics approach through the integration of metabolomics and transcriptomics presented here provides an innovative means of identifying novel gene functions involved in plant metabolism.

Arabidopsis↗
PubMed2024

Dissecting host-microbe interactions with modern functional genomics.

Interrogation of host-microbe interactions has long been a source of both basic discoveries and benefits to human health. Here, we review the role that functional genomics approaches have played in such efforts, with an emphasis on recent examples that have harnessed technological advances to provide mechanistic insight at increased scale and resolution. Finally, we discuss how concurrent innovations in model systems and genetic tools have afforded opportunities to interrogate additional types of host-microbe relationships, such as those in the mammalian gut. Bringing these innovations together promises many exciting discoveries ahead.

Genomics↗
PubMed2006

Integration of structural and functional genomics.

This paper introduces a special issue of Animal Genetics, which is devoted to the recent symposium held at Iowa State University entitled 'Integration of Structural and Functional Genomics'. We describe issues and needs that confront the animal genomics community, and describe how this symposium was structured to address these issues by improving communication and collaboration across species and disciplines. The session topics and oral presentations are briefly described for all invited speakers.

Animals↗
PubMed2002

Functional genomics and depression research. Beyond the monoamine hypothesis.

Although antidepressants have been used clinically for more than 50 years, no consensus has been reached concerning their precise molecular mechanism of action. Functional genomics is a powerful tool that can be used to identify genes affected by antidepressants or by other effective therapeutic manipulations. Using this tool we have previously identified more than 300 cDNA fragments as antidepressant related genes and from these, original cDNA microarrays were developed. Some of these candidate genes may encode common functional molecules induced by chronic antidepressant treatment. Defining the roles of these genes in drug-induced neural plasticity is likely to transform the course of research on the biological basis of depression. Such detailed knowledge will have profound effects on the diagnosis, prevention, and treatment of depression. Novel biological approaches beyond the "monoamine hypothesis" are expected to evoke paradigm shifts in the future of depression research.

Animals↗