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Results for “Functional Genomics”

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At least 1,405 records · Page 78Linked to original sources
PubMed2003

Systematic discovery of new genes in the Saccharomyces cerevisiae genome.

We used genome-wide comparative analysis of predicted protein sequences to identify many novel small genes, named smORFs for small open reading frames, within the budding yeast genome. Further analysis of 117 of these new genes showed that 84 are transcribed. We extended our analysis of one smORF conserved from yeast to human. This investigation provides an updated and comprehensive annotation of the yeast genome, validates additional concepts in the study of genomes in silico, and increases the expected numbers of coding sequences in a genome with the corresponding impact on future functional genomics and proteomics studies.

Amino Acid Sequence↗
PubMed1998

New goals for the U.S. Human Genome Project: 1998-2003.

The Human Genome Project has successfully completed all the major goals in its current 5-year plan, covering the period 1993-98. A new plan, for 1998-2003, is presented, in which human DNA sequencing will be the major emphasis. An ambitious schedule has been set to complete the full sequence by the end of 2003, 2 years ahead of previous projections. In the course of completing the sequence, a "working draft" of the human sequence will be produced by the end of 2001. The plan also includes goals for sequencing technology development; for studying human genome sequence variation; for developing technology for functional genomics; for completing the sequence of Caenorhabditis elegans and Drosophila melanogaster and starting the mouse genome; for studying the ethical, legal, and social implications of genome research; for bioinformatics and computational studies; and for training of genome scientists.

Animals↗
PubMed2002

Strategies to identify disease genes.

The correlation between genes and disease began in earnest in the early 1900s with the identification of Mendelian-like inheritance of "inborn errors of metabolism." Since then, the ever-broadening field of genetics has been established as one of the most important and groundbreaking branches of science and medicine to date. With the announcement of a "working draft" sequence of the human genome in 2001, the vast array of both genomic and expressed sequence information available in the public databases alone has meant that the concept of hunting for genes is evolving. Nowadays, researchers can substitute many labor-intensive hours in the lab for less time searching on the World Wide Web. Specialization within genetics has been continuously providing subsets of the genre such as genomics, pharmacogenetics, chemogenomics, gene therapy, proteomics and functional genomics, all of which are based on the fundamental starting block, the gene. This review aims to summarize both traditional and current strategies for identifying susceptibility and monogenetic disease genes and describes how these strategies have evolved in tune with the ever-expanding wealth of information now available at our fingertips.

Animals↗
PubMed2005

Systematic association of genes to phenotypes by genome and literature mining.

One of the major challenges of functional genomics is to unravel the connection between genotype and phenotype. So far no global analysis has attempted to explore those connections in the light of the large phenotypic variability seen in nature. Here, we use an unsupervised, systematic approach for associating genes and phenotypic characteristics that combines literature mining with comparative genome analysis. We first mine the MEDLINE literature database for terms that reflect phenotypic similarities of species. Subsequently we predict the likely genomic determinants: genes specifically present in the respective genomes. In a global analysis involving 92 prokaryotic genomes we retrieve 323 clusters containing a total of 2,700 significant gene-phenotype associations. Some clusters contain mostly known relationships, such as genes involved in motility or plant degradation, often with additional hypothetical proteins associated with those phenotypes. Other clusters comprise unexpected associations; for example, a group of terms related to food and spoilage is linked to genes predicted to be involved in bacterial food poisoning. Among the clusters, we observe an enrichment of pathogenicity-related associations, suggesting that the approach reveals many novel genes likely to play a role in infectious diseases.

Bacteria↗
PubMed2006

Biomarkers and multiple drug resistance in breast cancer.

Breast cancer, the most common form of cancer among women in North America and almost all of Europe, is a significant health problem in terms of both morbidity and mortality. It is estimated that each year this disease is diagnosed in over one million people worldwide and is the cause of more than 400,000 deaths. Although chemotherapy forms part of a successful treatment regime in many cases, as few as 50% patients may benefit from this, as a result of intrinsic or acquired multiple drug resistance (MDR). Through the use of in vitro cell culture models, a number of mechanisms of MDR have been identified; many, if not all, of which may contribute to breast cancer resistance in the clinical setting. This phenomenon is complicated by the likely multi-factorial nature of clinical resistance combined with the fact that, although apparently studied extensively in breast cancer, reported analyses have been performed using a range of analytical techniques; many on small sub-groups of patients, with different clinicopathological characteristics and receiving a range of therapeutic approaches. Larger defined studies, using standardised genomic and proteomics profiling approaches followed by functional genomics studies, are necessary in order to definitively establish the degree of complexity contributing to drug resistance and to identify novel therapeutic approaches - possibly involving chemotherapy, drug resistance modulators, and novel targeted therapies - to combat this disease.

Antineoplastic Agents↗
PubMed2026

ChromID: A Protocol for Mapping Protein Chromatin Interactions in Living Cells.

Chromatin modifications regulate genome function by recruiting proteins that control transcription, genome organization, and DNA repair. Identifying the proteins associated with specific chromatin modifications is therefore essential for understanding how these regulatory processes operate. Traditional approaches, including chromatin immunoprecipitation and affinity purification coupled to mass spectrometry, have uncovered many chromatin-associated proteins. However, they often rely on crosslinking and chromatin fragmentation, which can disrupt native chromatin architecture and limit the detection of transient interactions. Here, we describe a proximity-labeling protocol for identifying the chromatin-dependent protein interactome associated with specific chromatin marks, termed ChromID. ChromID uses engineered chromatin readers (eCRs) fused to a promiscuous biotin ligase, which labels proteins in the immediate vicinity of the targeted chromatin mark. The protocol includes in vivo biotin labeling, nuclear extract preparation, streptavidin-based enrichment, and tryptic digestion for downstream LC-MS/MS analysis. The protocol has been validated across multiple cell types and chromatin contexts and can be extended to other chromatin-associated proteins, providing a versatile approach to profile chromatin-associated proteomes within their native cellular environment. Key features • Maps proteins associated with different chromatin modifications in living cells using engineered chromatin readers fused to TurboID, BASU, or other promiscuous biotin ligases. • Preserves native chromatin organization and captures transient chromatin-associated interactions that are often lost during conventional affinity purification workflows. • Validated across multiple chromatin contexts, including histone modifications, DNA methylation, transcription factors, RNA polymerase II, and DNA damage-associated chromatin states. • Applicable to diverse cell types and organisms and adaptable to other chromatin-associated proteins, including transcription factors and chromatin regulators.

Biotin proximity labeling↗
PubMed2003

Genome-wide characterization of the lignification toolbox in Arabidopsis.

Lignin, one of the most abundant terrestrial biopolymers, is indispensable for plant structure and defense. With the availability of the full genome sequence, large collections of insertion mutants, and functional genomics tools, Arabidopsis constitutes an excellent model system to profoundly unravel the monolignol biosynthetic pathway. In a genome-wide bioinformatics survey of the Arabidopsis genome, 34 candidate genes were annotated that encode genes homologous to the 10 presently known enzymes of the monolignol biosynthesis pathway, nine of which have not been described before. By combining evolutionary analysis of these 10 gene families with in silico promoter analysis and expression data (from a reverse transcription-polymerase chain reaction analysis on an extensive tissue panel, mining of expressed sequence tags from publicly available resources, and assembling expression data from literature), 12 genes could be pinpointed as the most likely candidates for a role in vascular lignification. Furthermore, a possible novel link was detected between the presence of the AC regulatory promoter element and the biosynthesis of G lignin during vascular development. Together, these data describe the full complement of monolignol biosynthesis genes in Arabidopsis, provide a unified nomenclature, and serve as a basis for further functional studies.

Alcohol Oxidoreductases↗
PubMed1998

Genomics and computational molecular biology.

There has been a dramatic increase in the number of completely sequenced bacterial genomes during the past two years as a result of the efforts both of public genome agencies and the pharmaceutical industry. The availability of completely sequenced genomes permits more systematic analyses of genes, evolution and genome function than was otherwise possible. Using computational methods - which are used to identify genes and their functions including statistics, sequence similarity, motifs, profiles, protein folds and probabilistic models - it is possible to develop characteristic genome signatures, assign functions to genes, identify pathogenic genes, identify metabolic pathways, develop diagnostic probes and discover potential drug-binding sites. All of these directions are critical to understanding bacterial growth, pathogenicity and host-pathogen interactions.

Bacterial Proteins↗
PubMed2001

Surveying Saccharomyces genomes to identify functional elements by comparative DNA sequence analysis.

Comparative sequence analysis has facilitated the discovery of protein coding genes and important functional sequences within proteins, but has been less useful for identifying functional sequence elements in nonprotein-coding DNA because the relatively rapid rate of change of nonprotein-coding sequences and the relative simplicity of non-coding regulatory sequence elements necessitates the comparison of sequences of relatively closely related species. We tested the use of comparative DNA sequence analysis to aid identification of promoter regulatory elements, nonprotein-coding RNA genes, and small protein-coding genes by surveying random DNA sequences of several Saccharomyces yeast species, with the goal of learning which species are best suited for comparisons with S. cerevisiae. We also determined the DNA sequence of a few specific promoters and RNA genes of several Saccharomyces species to determine the degree of conservation of known functional elements within the genome. Our results lead us to conclude that comparative DNA sequence analysis will enable identification of functionally conserved elements within the yeast genome, and suggest a path for obtaining this information.

Base Sequence↗
PubMed2026

A stable and potent buffalo EF1α1 promoter for robust gene expression in mammalian systems.

This study reports the first isolation and characterization of the buffalo EF1α1 promoter, demonstrating its strong gene expression activity both in vitro across diverse cultured cell types and in vivo across multiple mouse organs. Although viral promoters, such as cytomegalovirus (CMV) and simian virus (SV40), are widely used for their strong expression in various cell lines in mammalian expression systems and in animal tissues, they are prone to methylation-induced transcriptional silencing and subsequent loss of exogenous gene expression. The most effective alternative to viral promoters is the synthetic hybrid CAG promoter (cytomegalovirus major immediate-early enhancer combined with the chicken beta-actin promoter) or mammalian cellular promoter such as human elongation factor 1 alpha (hEF1α), which drives strong gene expression but lacks consistency and is limited in their in vivo expression potential due to their vulnerability to epigenetic silencing. To overcome these challenges, the bbEF1α1 promoter was cloned and evaluated both in vitro and in vivo. It consistently drives higher levels of exogenous gene expression than CMV in diverse cell lines. Importantly, transgene expression was achieved in various organs of transgenic mice and in muscle tissue following in vivo electroporation. These findings establish the bbEF1α1 promoter as a powerful ubiquitous driver of gene expression, offering high stability with broad applications in gene therapy, biopharmaceutical production, and functional genomics.

Animals↗
PubMed2026

Swimming Upstream to Understand Congenital Anomalies of the Kidney and Urinary Tract: Zebrafish Models for Developmental Biology, Disease Mechanisms, and Functional Interpretation of Genetic Variation.

Congenital anomalies of the kidney and urinary tract (CAKUT) are the leading cause of pediatric chronic kidney disease (CKD) and comprise a heterogeneous group of developmental disorders with a substantial genetic contribution. Advances in next-generation sequencing have facilitated the identification of numerous candidate genes and rare variants associated with CAKUT. However, establishing causality and defining the biological functions of implicated genes remain major challenges. Functional validation is therefore essential to bridge the gap between gene discovery and mechanistic understanding, enabling the interpretation of genetic variation within the context of kidney development and disease. The zebrafish (Danio rerio) has emerged as a powerful in vivo model for studying renal development and interrogating the function of CAKUT-associated genes. Its utility stems from a high degree of genetic and developmental conservation with humans, conserved nephrogenic pathways, optical transparency during embryogenesis, and the relative ease of genetic manipulation. In this review, we provide an overview of zebrafish kidney development within the broader context of vertebrate nephrogenesis, highlighting the key genetic programs governing intermediate mesoderm specification, nephron segmentation, and pronephric morphogenesis. We then systematically examine CAKUT-associated genes that have been modeled in zebrafish, focusing on studies that have linked genetic perturbations to renal development and structural phenotypes. Finally, we discuss the strengths and limitations of zebrafish models for functional genomics and variant interpretation and consider their emerging role in bridging genetic discovery with mechanistic insights into CAKUT pathogenesis.

Animals↗
PubMed2006

The MitoDrome database annotates and compares the OXPHOS nuclear genes of Drosophila melanogaster, Drosophila pseudoobscura and Anopheles gambiae.

The oxidative phosphorylation (OXPHOS) is the primary energy-producing process of all aerobic organisms and the only cellular function under the dual control of both the mitochondrial and the nuclear genomes. Functional characterization and evolutionary study of the OXPHOS system is of great importance for the understanding of many as yet unclear aspects of nucleus-mitochondrion genomic co-evolution and co-regulation gene networks. The MitoDrome database is a web-based database which provides genomic annotations about nuclear genes of Drosophila melanogaster encoding for mitochondrial proteins. Recently, MitoDrome has included a new section annotating genomic information about OXPHOS genes in Drosophila pseudoobscura and Anopheles gambiae and their comparative analysis with their Drosophila melanogaster and human counterparts. The introduction of this new comparative annotation section into MitoDrome is expected to be a useful resource for both functional and structural genomics related to the OXPHOS system.

Animals↗
PubMed2026

Advancing insect research through cell line transcriptomics.

This review emphasizes the significance of insect cell lines in transcriptomic research, highlighting their role as vital tools for uncovering cellular and molecular mechanisms of insect physiology, immune responses, and adaptation to environmental stressors. Cell lines derived from tissues such as the midgut, fat body, nervous system, and reproductive organs enable researchers to examine gene expression changes in a controlled setting, making discoveries that are difficult to achieve through whole-organism studies. High-throughput sequencing and single-cell RNA sequencing (scRNA-seq) have identified genes linked to detoxification, stress response, development, and immune defense, offering valuable insights for future applications in agriculture, pest control, and biotechnology. To organize this information clearly, we have summarized key findings in a table, providing an accessible overview of each cell line's important roles in transcriptomic research. This method not only highlights the adaptability of insect cell lines in functional genomics but also underscores their usefulness as model systems in pest management, virology, and bioengineering. Through utilizing transcriptomics, insect cell lines continue to advance our understanding of insect biology and foster the development of innovative strategies for sustainable crop protection and biotechnological use.

Animals↗
PubMedDate not supplied

Recent progress in biomolecular engineering.

During the next decade or so, there will be significant and impressive advances in biomolecular engineering, especially in our understanding of the biological roles of various biomolecules inside the cell. The advances in high throughput screening technology for discovery of target molecules and the accumulation of functional genomics and proteomics data at accelerating rates will enable us to design and discover novel biomolecules and proteins on a rational basis in diverse areas of pharmaceutical, agricultural, industrial, and environmental applications. As an applied molecular evolution technology, DNA shuffling will play a key role in biomolecular engineering. In contrast to the point mutation techniques, DNA shuffling exchanges large functional domains of sequences to search for the best candidate molecule, thus mimicking and accelerating the process of sexual recombination in the evolution of life. The phage-display system of combinatorial peptide libraries will be extensively exploited to design and create many novel proteins, as a result of the relative ease of screening and identifying desirable proteins. Even though this system has so far been employed mainly in screening the combinatorial antibody libraries, its application will be extended further into the science of protein-receptor or protein-ligand interactions. The bioinformatics for genome and proteome analyses will contribute substantially toward ever more accelerated advances in the pharmaceutical industry. Biomolecular engineering will no doubt become one of the most important scientific disciplines, because it will enable systematic and comprehensive analyses of gene expression patterns in both normal and diseased cells, as well as the discovery of many new high-value molecules. When the functional genomics database, EST and SAGE techniques, microarray technique, and proteome analysis by 2-dimensional gel electrophoresis or capillary electrophoresis in combination with mass spectrometer are all put to good use, biomolecular engineering research will yield new drug discoveries, improved therapies, and significantly improved or new bioprocess technology. With the advances in biomolecular engineering, the rate of finding new high-value peptides or proteins, including antibodies, vaccines, enzymes, and therapeutic peptides, will continue to accelerate. The targets for the rational design of biomolecules will be broad, diverse, and complex, but many application goals can be achieved through the expansion of knowledge based on biomolecules and their roles and functions in cells and tissues. Some engineered biomolecules, including humanized Mab's, have already entered the clinical trials for therapeutic uses. Early results of the trials and their efficacy are positive and encouraging. Among them, Herceptin, a humanized Mab for breast cancer treatment, became the first drug designed by a biomolecular engineering approach and was approved by the FDA. Soon, new therapeutic drugs and high-value biomolecules will be designed and produced by biomolecular engineering for the treatment or prevention of not-so-easily cured diseases such as cancers, genetic diseases, age-related diseases, and other metabolic diseases. Many more industrial enzymes, which will be engineered to confer desirable properties for the process improvement and manufacturing of high-value biomolecular products at a lower production cost, are also anticipated. New metabolites, including novel antibiotics that are active against resistant strains, will also be produced soon by recombinant organisms having de novo engineered biosynthetic pathway enzyme systems. The biomolecular engineering era is here, and many of benefits will be derived from this field of scientific research for years to come if we are willing to put it to good use.

Animals↗
PubMed2004

A probabilistic functional network of yeast genes.

A conceptual framework for integrating diverse functional genomics data was developed by reinterpreting experiments to provide numerical likelihoods that genes are functionally linked. This allows direct comparison and integration of different classes of data. The resulting probabilistic gene network estimates the functional coupling between genes. Within this framework, we reconstructed an extensive, high-quality functional gene network for Saccharomyces cerevisiae, consisting of 4681 (approximately 81%) of the known yeast genes linked by approximately 34,000 probabilistic linkages comparable in accuracy to small-scale interaction assays. The integrated linkages distinguish true from false-positive interactions in earlier data sets; new interactions emerge from genes' network contexts, as shown for genes in chromatin modification and ribosome biogenesis.

Bayes Theorem↗
PubMed2004

Chemical genomics: probing protein function using small molecules.

Chemical genomics is concerned with the effects of both genetic variation and chemical perturbation on the cellular effects of small molecules. Chemical genomics relies on selecting biological networks for study, such as those represented by different cell types or disease models, in order to build the desired specificity into the experimental design. The most relevant network property for such experiments is the global connectivity of all cellular proteins comprising the functional ensemble, as illustrated by case studies of the evolution of cyclooxygenase inhibitors and heat-shock protein modulators. Recent examples of chemical genomic profiling, particularly of different cell types, highlight the power of carefully planned experimental approaches in chemical genomics. These new approaches demonstrate the use of the genome to find new targets or new modes of biological interaction.

Animals↗
PubMed2003

Nutritional genomics: implications for companion animals.

This is an exciting time for biological scientists as the "omics" era continues to evolve and shape the way science is understood and conducted. As genome sequencing of the human comes to a close, other mammals are in line to be sequenced. Along with pigs and cows, dogs are now on the high priority list for sequencing, and cats may soon follow suit. Until sequence data are available, genetic maps may be used to reveal important physical characteristics of a genome. Genome mapping is important in identifying gene placement, but gives little information regarding function. Therefore, functional genomics, including the global analysis of RNA and protein expression, protein localization and protein-protein interactions will emerge as important areas of study. The major use of the dog and cat genome maps hitherto has been for the study of human and veterinary medicine. These powerful resources also can be applied to the field of nutritional genomics and proteomics, enhancing our understanding of metabolism and optimizing companion animal nutritional and health status. Genomics has begun to be applied to nutritional research, but issues specifically relevant to companion animals have not been elucidated thus far. The study of genomics and proteomics will be crucial in areas such as nutrient requirement determination, disease prevention and treatment, functional ingredient testing and others. Nutritional genomics and proteomics will definitely play a vital role in the future of pet foods.

Animal Nutritional Physiological Phenomena↗
PubMed2025

The limitations of small molecule and genetic screening in phenotypic drug discovery.

Phenotypic screens carried out with functional genomics or small molecules have led to novel biological insights, revealed previously unknown targets for drug discovery programs, and provided starting points for the development of first-in-class therapies. Despite being valuable research tools, genetic and compound screening also have significant limitations. This perspective aims to shed a light on those limitations and provide mitigation strategies when available, with a goal of helping phenotypic screening practitioners gain an understanding of how and when to best utilize either approach.

Drug Discovery↗