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PubMed2001

Nomenclature and overview of the mouse (Mus musculus and Mus sp.) immunoglobulin kappa (IGK) genes.

'Nomenclature and overview of the mouse (Mus musculus and Mus sp.) immunoglobulin kappa (IGK) Genes', the 19th report of the 'IMGT Locus in Focus' section, provides the first complete list of all the mouse (M. musculus) IGK genes. The mouse (M. musculus) locus spans 3,200 kb. The total number of mouse (M. musculus) IGK genes per haploid genome is 164 (174 if the orphons are included). The functional genomic repertoire comprises 93 IGKV belonging to 18 subgroups, 5 IGKJ and 1 IGKC gene. IMGT gene names and definitions of the mouse (M. musculus) IGK genes on chromosome 6 and IGK orphons are provided with the gene functionality and the number of alleles, according to the concepts of IMGT-ONTOLOGY and to rules of the IMGT Scientific chart, with the accession numbers of the IMGT reference sequences. These tables and figures are available at the IMGT Marie-Paule page of IMGT, the international ImMunoGeneTics database (http://imgt.cines.fr) created by Marie-Paule Lefranc, Université Montpellier II, CNRS, France.

Alleles↗
PubMed2004

Evidence for turnover of functional noncoding DNA in mammalian genome evolution.

The vast majority of the mammalian genome does not code for proteins, and a fundamental question in genomics is: What proportion of the noncoding mammalian genome is functional? Most attempts to address this issue use sequence comparisons between highly diverged mammals such as human and mouse to identify conservation due to negative selection. But such comparisons will underestimate the true proportion of functional noncoding DNA if there is turnover, if patterns of negative selection change over time. Here we test whether the inferred level of negative selection differs between different pairwise species comparisons. Using a multiple alignment of more than a megabase of contiguous sequence from eight mammalian species, we find a strong negative relationship between inferred levels of negative selection and pairwise divergence using 21 pairwise comparisons. This result suggests that there is a high rate of turnover of functional noncoding elements in the mammalian genome, so measures of functional constraint based on human-mouse comparisons may seriously underestimate the true value.

Animals↗
PubMed2005

Systems biology in the cell nucleus.

The mammalian nucleus is arguably the most complex cellular organelle. It houses the vast majority of an organism's genetic material and is the site of all major genome regulatory processes. Reductionist approaches have been spectacularly successful at dissecting at the molecular level many of the key processes that occur within the nucleus, particularly gene expression. At the same time, the limitations of analyzing single nuclear processes in spatial and temporal isolation and the validity of generalizing observations of single gene loci are becoming evident. The next level of understanding of genome function is to integrate our knowledge of their sequences and the molecular mechanisms involved in nuclear processes with our insights into the spatial and temporal organization of the nucleus and to elucidate the interplay between protein and gene networks in regulatory circuits. To do so, catalogues of genomes and proteomes as well as a precise understanding of the behavior of molecules in living cells are required. Converging technological developments in genomics, proteomics, dynamics and computation are now leading towards such an integrated biological understanding of genome biology and nuclear function.

Animals↗
PubMed2004

Genomics applications to biotech traits: a revolution in progress?

Twenty years since the inception of the agricultural biotechnology era, only two products have had a significant impact in the market place: herbicide-resistant and insect-resistant crops. Additional products have been pursued but little success has been achieved, principally because of limited understanding of key genetic intervention points. Genomics tools have fueled a new strategy for identifying candidate genes. Primarily thanks to the application of functional genomics in Arabidopsis and other plants, the industry is now overwhelmed with candidate genes for transgenic intervention points. This success necessitates the application of genomics to the rapid validation of gene function and mode of action. As one example, the development of C-box binding factors (CBFs) for enhanced freezing and drought tolerance has been rapidly advanced because of the improved understanding generated by genomics technologies.

Biotechnology↗
PubMed2001

Functional and structural genomics using PEDANT.

MOTIVATION: Enormous demand for fast and accurate analysis of biological sequences is fuelled by the pace of genome analysis efforts. There is also an acute need in reliable up-to-date genomic databases integrating both functional and structural information. Here we describe the current status of the PEDANT software system for high-throughput analysis of large biological sequence sets and the genome analysis server associated with it. RESULTS: The principal features of PEDANT are: (i) completely automatic processing of data using a wide range of bioinformatics methods, (ii) manual refinement of annotation, (iii) automatic and manual assignment of gene products to a number of functional and structural categories, (iv) extensive hyperlinked protein reports, and (v) advanced DNA and protein viewers. The system is easily extensible and allows to include custom methods, databases, and categories with minimal or no programming effort. PEDANT is actively used as a collaborative environment to support several on-going genome sequencing projects. The main purpose of the PEDANT genome database is to quickly disseminate well-organized information on completely sequenced and unfinished genomes. It currently includes 80 genomic sequences and in many cases serves as the only source of exhaustive information on a given genome. The database also acts as a vehicle for a number of research projects in bioinformatics. Using SQL queries, it is possible to correlate a large variety of pre-computed properties of gene products encoded in complete genomes with each other and compare them with data sets of special scientific interest. In particular, the availability of structural predictions for over 300 000 genomic proteins makes PEDANT the most extensive structural genomics resource available on the web.

Arabidopsis↗
PubMed2004

DNA microarrays, a novel approach in studies of chromatin structure.

The DNA microarray technology delivers an experimental tool that allows surveying expression of genetic information on a genome-wide scale at the level of single genes--for the new field termed functional genomics. Gene expression profiling--the primary application of DNA microarrays technology--generates monumental amounts of information concerning the functioning of genes, cells and organisms. However, the expression of genetic information is regulated by a number of factors that cannot be directly targeted by standard gene expression profiling. The genetic material of eukaryotic cells is packed into chromatin which provides the compaction and organization of DNA for replication, repair and recombination processes, and is the major epigenetic factor determining the expression of genetic information. Genomic DNA can be methylated and this modification modulates interactions with proteins which change the functional status of genes. Both chromatin structure and transcriptional activity are affected by the processes of replication, recombination and repair. Modified DNA microarray technology could be applied to genome-wide study of epigenetic factors and processes that modulate the expression of genetic information. Attempts to use DNA microarrays in studies of chromatin packing state, chromatin/DNA-binding protein distribution and DNA methylation pattern on a genome-wide scale are briefly reviewed in this paper.

Chromatin↗
PubMed2006

The effect of GeneChip gene definitions on the microarray study of cancers.

The Affymetrix GeneChip is a popular microarray platform for genome-wide expression profiling and has been widely used in functional genomics especially in the classification of cancers. Due to the updating of genome data, much of the genome information with which the chips were designed is out-of-date and it has been reported that many of the genes/transcripts on the chips differ from their original definition when mapping the probes to the new genome information. Dai et al. have reported that the updated definition can cause as much as 30-50% discrepancy in the genes selected as differentially expressed on a heart tissue expression profiling dataset. Understanding the nature of this difference is therefore very important for the utilization of the data. In this work, with a large cancer dataset as an example, we compared two major definitions and investigated their effects on classification, clustering, discovery of differentially expressed genes and gene-set-based analysis. Results show that the two definitions agree well on clustering and classification results but genes and gene sets discovered as differentially expressed or enriched can be very different. Discoveries based on the Affymetrix definition can cover most of those based on the new definition, but tend to have more false positives.

Base Sequence↗
PubMed2006

Gene-environment interactions differentially affect mouse strain behavioral parameters.

Systematic phenotyping of mouse strains and mutants generated through genome-wide mutagenesis programs promises to deliver a wealth of functional genetic information. To this end, the appropriation of a standard series of phenotyping protocols is desirable to produce data sets that are consistent within and across laboratories and across time. Standard phenotyping protocols such as EMPReSS (European Mouse Phenotyping Resource for Standardised Screens) provide a series of protocols aimed at phenotyping multiple body systems that could realistically be adopted and/or reproduced in any laboratory. This includes a series of neurologic and behavioral screens, bearing in mind that this class of phenotype is well represented in targeted mutants and mutagenesis screens. Having cross-validated screening batteries in a number of laboratories and in a number of commonly used inbred strains, our group was interested in establishing whether subtle changes in cage environment could affect behavioral test outcome. Aside from unavoidable quantitative differences in test outcome, we identified significant and distinct genotype-environment-test interactions. For example, specific strain order in open-field center entries and total distance traveled can be reversed depending on the form of enrichment used, while prepulse inhibition of the acoustic startle response is, even quantitatively, unaffected by the enrichment condition. Our findings argue that unless systematically recorded, behavioral studies conducted under subtle variations in cage environment may lead to data misinterpretation, although this could be limited to particular behaviors. Further investigations into the extent and limits of genetic and environmental variables are critical for the realization of both behavioral and functional genomics endpoints.

Animals↗
PubMed2005

The genome and the nucleus: a marriage made by evolution. Genome organisation and nuclear architecture.

Genomes are housed within cell nuclei as individual chromosome territories. Nuclei contain several architectural structures that interact and influence the genome. In this review, we discuss how the genome may be organised within its nuclear environment with the position of chromosomes inside nuclei being either influenced by gene density or by chromosomes size. We compare interphase genome organisation in diverse species and reveal similarities and differences between evolutionary divergent organisms. Genome organisation is also discussed with relevance to regulation of gene expression, development and differentiation and asks whether large movements of whole chromosomes are really observed during differentiation. Literature and data describing alterations to genome organisation in disease are also discussed. Further, the nuclear structures that are involved in genome function are described, with reference to what happens to the genome when these structures contain protein from mutant genes as in the laminopathies.

Animals↗
PubMed2002

Cadmium- and iron-stress-inducible gene expression in the green alga Chlamydomonas reinhardtii: evidence for H43 protein function in iron assimilation.

Early transcriptional responses of a cell wall-deficient mutant of the green alga Chlamydomonas reinhardtii to heavy-metal stress have been investigated using the method of mRNA differential display. We have identified, sequenced, and quantified the induction of a number of transcripts that are up-regulated by a brief (2-h) exposure to 25 microm cadmium chloride, including one transcript which is also highly responsive to iron (Fe) deficiency. These transcripts represent both nuclear- and chloroplast-encoded genes, and include both novel genes and genes with known or suspected functions. Among these is a gene with significant homology to HCR1, a high-CO(2)- and Fe-deficiency-inducible gene from Chlorococcum littorale. We further characterized the regulation of the HCR1-like gene ( H43) and found that this transcript is also induced by Fe-depletion of the medium. Heterologous expression of H43 in the Fe-uptake mutant fet3fet4 of Saccharomyces cerevisiae resulted in partial suppression of the slow-growth phenotype of this mutant in minimal medium, and resulted in a 2-fold increase in Fe accumulation per cell. Our results demonstrate the utility of Chlamydomonas cw(-) strains for functional genomics studies of metal stress. The magnitudes of induction and functional analyses suggest possible utility for these genes in the study of metal stress sensing in green plants and development of novel Fe acquisition and phytoremediation strategies.

Amino Acid Sequence↗
PubMed2025

Validation of caprine H11 and the Rosa26 platform for transgene integration via CRISPR-based system: investigations on stable transgene expression and genetic biosafety.

CRISPR/Cas9 technology is an efficient tool for site-specific livestock gene editing. However, to minimize potential disruption of host genome function, exogenous genes should be integrated into well-characterized genomic loci, such as H11 or Rosa26, which have been empirically validated for stable transgene expression. This study established a multi-dimensional assessment system to evaluate the biological applicability of the H11 locus and the widely used Rosa26 targeting platform as sites for targeted integration of exogenous genes in goats. Donor cells carrying the enhanced green fluorescent protein (EGFP) reporter gene at the H11 and Rosa26 loci were generated via CRISPR/Cas9-mediated homology-directed repair; this was followed by somatic cell nuclear transfer to produce transgenic cloned embryos and healthy offspring. Multi-dimensional analyses revealed the following. At the cellular level, there was stable and efficient EGFP expression at integration sites, with donor cells maintaining normal cell cycle progression, proliferation capacity, and apoptosis levels, and with no alterations in the transcriptional integrity of adjacent genes. At the embryonic level, there was sustained EGFP expression across pre-implantation embryonic stages, with developmental metrics statistically indistinguishable from wild-type embryos. Finally, at the individual level, cloned offspring exhibited growth phenotypes consistent with wild-type counterparts, and EGFP showed broad-spectrum expression in eight tissues. This study establishes the first CRISPR/Cas9-based crossscale (cellular-embryonic-individual) validation in goats, demonstrating that the H11 and Rosa26 loci support efficient and stable transgene integration in goats. These results provide a precise and predictable technical framework for livestock genetic improvement.

Animals↗
PubMed2006

Is cell death and replacement a factor in aging?

The central theme of the 3rd International Conference on Functional Genomics of Ageing was tissue regeneration as a remedial strategy to address age-related cellular damage and the pathology that ensues. The conference included sessions on maintaining genome integrity and the potential of stem cells to restore function to damaged tissues. In addition to several human syndromes that appear to reflect accelerated ageing, there are now a number of mouse models that prematurely display phenotypes associated with ageing. The intent of this summary presented at the end of the conference was to: (1) discuss various human syndromes and mouse models of accelerated ageing; (2) evaluate whether the phenotypes displayed might result from an elevated rate of cell death coupled with an inability to adequately maintain cell number in various tissues with increasing age; and (3) discuss whether similar events may be occurring during normal ageing, albeit much more slowly.

Aging↗
PubMed2006

PTMs on H3 variants before chromatin assembly potentiate their final epigenetic state.

Histone posttranslational modifications (PTMs) and sequence variants regulate genome function. Although accumulating evidence links particular PTM patterns with specific genomic loci, our knowledge concerning where and when these PTMs are imposed remains limited. Here, we find that lysine methylation is absent prior to histone incorporation into chromatin, except at H3K9. Nonnucleosomal H3.1 and H3.3 show distinct enrichments in H3K9me, such that H3.1 contains more K9me1 than H3.3. In addition, H3.3 presents other modifications, including K9/K14 diacetylated and K9me2. Importantly, H3K9me3 was undetectable in both nonnucleosomal variants. Notably, initial modifications on H3 variants can potentiate the action of enzymes as exemplified with Suv39HMTase to produce H3K9me3 as found in pericentric heterochromatin. Although the set of initial modifications present on H3.1 is permissive for further modifications, in H3.3 a subset cannot be K9me3. Thus, initial modifications impact final PTMs within chromatin.

Amino Acid Sequence↗
PubMed2001

Bacteriophage lambda: alive and well and still doing its thing.

The lambda (lambda) family of bacteriophages continues to provide significant insights into the understanding of basic biological processes, as well as useful technological innovations. Areas in which recent advances have occurred include transcription elongation, repressor interactions, genomics and post-transcriptional regulation. The homologous lambda recombination functions have been exploited as an efficient in vivo recombinant engineering system for functional genomic studies. The virulence of some pathogenic strains of Escherichia coli is enhanced by the expression of Shiga toxin (stx) genes encoded on a resident lambdoid prophage. Recent work suggests that the phage regulatory network may be a significant contributor to toxin production and release by these pathogenic E. coli.

Bacteriophage lambda↗
PubMed2003

Comparative genotyping of the Saccharomyces cerevisiae laboratory strains S288C and CEN.PK113-7D using oligonucleotide microarrays.

To analyse the reliability and accuracy of genotype analysis with high-density oligonucleotide microarrays, this method and other experimental approaches were used to analyse genomic DNA of two popular Saccharomyces cerevisiae laboratory strains. S288C was used for systematic sequencing of 'the' S. cerevisiae genome; CEN.PK113-7D is a popular strain for physiological studies and functional genomics. Random amplified polymorphic DNA, electrophoretic karyotyping and microarray analysis all indicated a high level of sequence similarity between the two strains. In the microarray analysis, as few as 288 (4.5%) of the ca. 6300 represented yeast genes were identified that yielded significantly different hybridisation intensities between the two strains. These could be classified as amplified, absent, or with sequence polymorphism in CEN.PK113-7D compared to S288C. A detailed analysis focused on the subset of 25 genes called absent in CEN.PK113-7D. Among these absent genes, 17 were clustered together on five chromosomes, mainly in subtelomeric regions. Thorough analysis of these regions by polymerase chain reaction (PCR) and restriction fragment length polymorphism confirmed the absence of these genes in CEN.PK113-7D. Surprisingly, three of these regions were not smaller in CEN.PK113-7D chromosomes, indicating that they may harbour unidentified and potentially new sequences. In addition, eight genes called absent by the microarrays were scattered over the chromosomes. Using diagnostic PCR most of these genes were actually found to be present in CEN.PK113-7D, but after sequencing were found to differ significantly at the DNA level from S288C, explaining the poor hybridisation to the arrays. Our results indicate that DNA microarrays are a powerful tool for determining genotypic similarity between different yeast strains. However, to obtain meaningful information at the individual gene level, this method should be backed up by additional techniques.

DNA Probes↗
PubMed2026

An embedding-based framework enables statistical testing of gene-set function hypotheses inferred by large language models.

Emerging large language models (LLMs) can infer gene functions directly from gene lists, enabling hypothesis generation without predefined gene sets. However, these LLM-derived predictions are qualitative, and principled statistical validation is lacking. Here, we develop an embedding-based statistical framework that transforms gene and function descriptions into vector representations, enabling statistical testing of gene-gene and gene-function relationships and quantitative prioritization of de novo functional hypotheses inferred by LLMs. We benchmark seven state-of-the-art embedding models using curated and retrieval-augmented literature-derived gene descriptions across diverse biological contexts. OpenAI's text-embedding-3-large and Google's gemini-embedding-001 perform best, capturing gene-gene functional relationships in 88.7-92.5% of Gene Ontology biological processes and approximately 98.6% of canonical pathways. In gene-function association analyses, these models achieve high sensitivity (95.2-98.4%) and specificity (72.7-84.3%). Through contamination analysis and evaluation using experimentally informed protein assembly gene sets, our framework distinguishes biologically meaningful LLM-inferred hypotheses from noise, outperforming confidence-based inference and conventional enrichment analysis. We further develop the open-source R package DEGEmbedR and demonstrate its utility for interpreting a drug perturbation-derived differentially expressed gene (DEG) signature lacking significant conventional enrichment results. Together, these results establish LLM-derived embeddings as a quantitative foundation for functional genomics and the statistical validation of LLM-based gene function inference.

Large Language Models↗
PubMed2005

NodMutDB: a database for genes and mutants involved in symbiosis.

UNLABELLED: Functional genomics research is producing large amounts of data on the functions of individual genes related to symbiosis. We have developed a relational database, NodMutDB (Nodulation Mutant Database), to provide a comprehensive resource for depositing, organizing and retrieving information on symbiosis-related genes, mutants and published literature. NodMutDB brings together new studies and existing mutant-based literature to facilitate our understanding of how genes function in symbiotic processes in both Rhizobia and their host plants. AVAILABILITY: http://nodmutdb.vbi.vt.edu CONTACT: cmao@vbi.vt.edu SUPPLEMENTARY INFORMATION: Database schema and data curation model are available at http://nodmutdb.vbi.vt.edu.

Bacterial Proteins↗
PubMed2006

Specific and nontoxic silencing in mammalian cells with expressed long dsRNAs.

A number of groups have developed libraries of siRNAs to identify genes through functional genomics. While these studies have validated the approach of making functional RNAi libraries to understand fundamental cellular mechanisms, they require information and knowledge of existing sequences since the RNAi sequences are generated synthetically. An alternative strategy would be to create an RNAi library from cDNA. Unfortunately, the complexity of such a library of siRNAs would make screening difficult. To reduce the complexity, longer dsRNAs could be used; however, concerns of induction of the interferon response and off-target effects of long dsRNAs have prevented their use. As a first step in creating such libraries, long dsRNA was expressed in mammalian cells. The 250 nt dsRNAs were capable of efficiently silencing a luciferase reporter gene that was stably transfected in MDA-MB-231 cells without inducing the interferon response or off-target effects any more than reported for siRNAs. In addition, a long dsRNA expressed in the same cell line was capable of silencing endogenous c-met expression and inhibited cell migration, whereas the dsRNA against luciferase had no effect on c-met or cell migration. The studies suggest that large dsRNA libraries are feasible and that functional selection of genes will be possible.

Animals↗