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At least 1,171 records · Page 65Linked to original sources
PubMed2004

A molecular description of brain trauma pathophysiology using microarray technology: an overview.

It has been estimated that 50% of human transcriptome, the collection of mRNA in a cell, is expressed in the brain, making it one of the most complex organs to understand in terms of genomic responses to injury. The availability of genome sequences for several organisms coupled with the increasing affordability of microarray technologies makes it feasible to monitor the mRNA levels of thousands of genes simultaneously. In this paper, we provide an overview of findings using both cDNA- and oligonucleotide-based microarray analyses after experimental traumatic brain injury (TBI). Specifically, the utility of this methodology as a means of cataloging the biochemical sequelae of brain trauma and elucidating novel genes or pathways for further study is discussed. Furthermore, we offer future directions for the continued evaluation of microarray results and discuss the usefulness of microarray techniques as a testing format for determining the efficacy of mechanism-based therapies.

Animals↗
PubMed2026

Development and preclinical evaluation of a decoy DLL4-encoding oncolytic HSV-1 for high-grade glioma.

Preclinical and clinical investigation of oncolytic HSV-1 (oHSV) treatment for cancer has indicated increased Notch signaling in tumors after treatment. Since Notch activation often heralds cancer cell stemness, angiogenesis, and invasion, the induction of this pathway after oHSV virotherapy can support tumor growth and limit response to virotherapy. Here, we evaluated the impact of blocking DLL4, a Notch ligand, on virotherapy. Matched tumor biopsies pre- and post-oHSV (CAN-3110, NCT03152318) treatment revealed an induction of DLL4 post-therapy. We observed that expression of a recombinant soluble decoy DLL4 (sDLL4) could block Notch activation in tumor cells. Thus, we engineered an oHSV vector designed to encode soluble DLL4 (OVsDLL4) to block ligand-mediated Notch signaling. RNA sequencing and gene set enrichment analysis revealed that, relative to control oHSV, OVsDLL4 blocked Notch and sprouting angiogenesis pathways after treatment. Despite slower virus replication in vitro, OVsDLL4 cytotoxicity remained effective against tumor cells. Transcriptome profiling also indicated a significant dysregulation of metabolic pathways related to oxidative phosphorylation and glutathione metabolism, in accordance with increased oxygen consumption observed by Seahorse analysis in cells expressing sDLL4. OVsDLL4-treated cells further showed increased reactive oxygen species relative to control oHSV-treated cells. Co-culture of infected tumor cells with immune cells revealed that OVsDLL4 treatment polarized them toward an inflammatory phenotype. In vivo, the therapeutic efficacy of OVsDLL4 was underscored, as treatment of glioma-bearing mice resulted in reduced tumor burden and prolonged survival.

Journal Article↗
PubMed2001

A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling.

MOTIVATION: Transcriptome analysis allows detection and clustering of genes that are coexpressed under various biological circumstances. Under the assumption that coregulated genes share cis-acting regulatory elements, it is important to investigate the upstream sequences controlling the transcription of these genes. To improve the robustness of the Gibbs sampling algorithm to noisy data sets we propose an extension of this algorithm for motif finding with a higher-order background model. RESULTS: Simulated data and real biological data sets with well-described regulatory elements are used to test the influence of the different background models on the performance of the motif detection algorithm. We show that the use of a higher-order model considerably enhances the performance of our motif finding algorithm in the presence of noisy data. For Arabidopsis thaliana, a reliable background model based on a set of carefully selected intergenic sequences was constructed. AVAILABILITY: Our implementation of the Gibbs sampler called the Motif Sampler can be used through a web interface: http://www.esat.kuleuven.ac.be/~thijs/Work/MotifSampler.html. CONTACT: gert.thijs@esat.kuleuven.ac.be; yves.moreau@esat.kuleuven.ac.be

Algorithms↗
PubMed2026

The dark genome in cardiovascular medicine.

Only ∼1%-2% of the human genome directly codes for proteins. The remainder consists of non-coding DNA, often referred to as the 'dark genome'. This includes regulatory elements, transposable and repetitive sequences, structural genomic features, pseudogenes, intronic and intergenic regions, and non-coding RNA (ncRNA) genes. These components are increasingly recognized as major regulators of gene expression, cell identity, and disease susceptibility. Currently, dark genome elements, particularly ncRNAs are increasingly recognized as important regulators of cardiovascular health and disease. Advances in genome analysis technologies have greatly improved our understanding of these non-coding regions and revealed clearer connections between the dark genome and cardiovascular traits. This review highlights major parts of the dark genome involved in cardiovascular disease, with emphasis on those for which mechanistic understanding and translational relevance are beginning to emerge. As mechanistic insight into individual and collective components of the dark genome advances, it increasingly enables the development of new opportunities for targeted therapeutics for cardiovascular prevention and disease management.

Humans↗
PubMed2026

The First Highly Contiguous Genome Assembly for the Western Bluebird (Sialia mexicana).

The western bluebird (Sialia mexicana) is a secondary cavity-nesting thrush that has experienced historical population declines, local extirpations, and more recent recoveries associated with nest box programs. Despite these regional successes, recent eBird estimates suggest continued range-wide declines and substantial geographic variation in population trajectories, making this species a useful system for future studies of demographic change, connectivity, and conservation genomics. However, genomic resources for western bluebirds remain limited, and no reference genome currently exists for any species in the genus Sialia. Here, we present the first high-quality de novo reference genome for S. mexicana. Using PacBio HiFi long-read sequencing from an adult female, we generated a highly contiguous, phased 1.3 Gb nuclear assembly with a contig N50 of 24.8 Mb and high BUSCO completeness of 98.3%. We annotated the nuclear genome using transcriptomic and protein evidence, identifying 16,656 protein-coding genes and 26,060 transcripts/protein isoforms. We also assembled a complete ∼16 kb mitochondrial genome from Illumina short-read data. This reference genome provides a foundational resource for future studies of population structure, genetic diversity, connectivity, demographic history, and adaptation in western bluebirds and related taxa.

Animals↗
PubMed2004

The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes.

In this paper, we present the Functional Catalogue (FunCat), a hierarchically structured, organism-independent, flexible and scalable controlled classification system enabling the functional description of proteins from any organism. FunCat has been applied for the manual annotation of prokaryotes, fungi, plants and animals. We describe how FunCat is implemented as a highly efficient and robust tool for the manual and automatic annotation of genomic sequences. Owing to its hierarchical architecture, FunCat has also proved to be useful for many subsequent downstream bioinformatic applications. This is illustrated by the analysis of large-scale experiments from various investigations in transcriptomics and proteomics, where FunCat was used to project experimental data into functional units, as 'gold standard' for functional classification methods, and also served to compare the significance of different experimental methods. Over the last decade, the FunCat has been established as a robust and stable annotation scheme that offers both, meaningful and manageable functional classification as well as ease of perception.

Abstracting and Indexing↗
PubMed2024

RNA-seq reveals differentially expressed lncRNAs and circRNAs and their associated functional network in HTR-8/Svneo cells under hypoxic conditions.

Placental hypoxia is hazardous to maternal health as well as fetal growth and development. Preeclampsia and intrauterine growth restriction are common pregnancy problems, and one of the causes is placental hypoxia. Placental hypoxia is linked to a number of pregnancy illnessesv. To investigate their potential function in anoxic circumstances, we mimicked the anoxic environment of HTR-8/Svneo cells and performed lncRNA and circRNA studies on anoxic HTR-8/Svneo cells using high-throughput RNA sequencing. The miRNA target genes were predicted by integrating the aberrant expression of miRNAs in the placenta of preeclampsia and intrauterine growth restriction, and a ceRNA network map was developed to conduct a complete transcriptomic and bioinformatics investigation of circRNAs and lncRNAs. The signaling pathways in which the genes were primarily engaged were predicted using GO and KEGG analyses. To propose a novel explanation for trophoblastic organism failure caused by lncRNAs and circRNAs in an anoxic environment.

Humans↗
PubMed2003

Transcriptome analysis of mouse stem cells and early embryos.

Understanding and harnessing cellular potency are fundamental in biology and are also critical to the future therapeutic use of stem cells. Transcriptome analysis of these pluripotent cells is a first step towards such goals. Starting with sources that include oocytes, blastocysts, and embryonic and adult stem cells, we obtained 249,200 high-quality EST sequences and clustered them with public sequences to produce an index of approximately 30,000 total mouse genes that includes 977 previously unidentified genes. Analysis of gene expression levels by EST frequency identifies genes that characterize preimplantation embryos, embryonic stem cells, and adult stem cells, thus providing potential markers as well as clues to the functional features of these cells. Principal component analysis identified a set of 88 genes whose average expression levels decrease from oocytes to blastocysts, stem cells, postimplantation embryos, and finally to newborn tissues. This can be a first step towards a possible definition of a molecular scale of cellular potency. The sequences and cDNA clones recovered in this work provide a comprehensive resource for genes functioning in early mouse embryos and stem cells. The nonrestricted community access to the resource can accelerate a wide range of research, particularly in reproductive and regenerative medicine.

Animals↗
PubMed2005

Structure and functional analysis of unclassified genes strongly expressed in human visceral adipose tissue.

Our previous work has described the gene expression patterns of human visceral adipose tissue (VAT) at the transcriptome level and reported that the strongly expressed genes in VAT showed an uneven distribution throughout the genome. The aim of the present work was to focus on the unclassified genes and known expressed sequence tags (ESTs) strongly expressed in VAT and analyze their structure and function with bioinformatics. Among the 400 ESTs strongly expressed in the VAT, 340 clones were classified into known genes through searching the latest Genbank database. Functional classification showed that 85 clones were unclassified known genes, and approx 90% of them were found to be expressed in adipose tissue for the first time. Among the 85 unclassified genes, only two share similarities in the coding sequences with all species examined, and six genes had so far no obvious similarity to any genes across different species. The protein products of 7 genes had putative signal peptide and 11 had transmembrane domains. The protein products of 39 genes had relative specific motifs or prosites on primary structure. In silico Northern blot showed that 21 known ESTs were abundantly specifically expressed in adipose tissue, which may provide clues to identify novel genes closely related to adipocyte function with potential pathophysiological implications.

Abdomen↗
PubMed2005

Survey of current protein family databases and their application in comparative, structural and functional genomics.

The last two decades have witnessed significant expansions in the databases storing information on the sequences and structures of proteins. This has led to the creation of many excellent protein family resources, which classify proteins according to their evolutionary relationship. These have allowed extensive insights into evolution and particularly how protein function mutates and evolves over time. Such analyses have greatly assisted the inheritance of functional annotations between experimentally characterised and uncharacterised genes. Moreover, the development of bioinformatics tools acts as a companion to the new technologies emerging in biology, such as transcriptomics and proteomics. The latter enable researchers to analyse gene expression profiles and interactions on a genome-wide scale, generating vast datasets of proteins, many of which include experimentally uncharacterised proteins. Protein family/function databases can be used to help interpret this data and allow us to benefit more fully from these technologies. This review aims to summarise the most popular sequence- and structure-based protein family databases. We also cover their application to comparative genomics and the functional annotation of the genomes.

Biological Evolution↗
PubMed2006

Reconstruction of central carbon metabolism in Sulfolobus solfataricus using a two-dimensional gel electrophoresis map, stable isotope labelling and DNA microarray analysis.

In the last decade, an increasing number of sequenced archaeal genomes have become available, opening up the possibility for functional genomic analyses. Here, we reconstructed the central carbon metabolism in the hyperthermophilic crenarchaeon Sulfolobus solfataricus (glycolysis, gluconeogenesis and tricarboxylic acid cycle) on the basis of genomic, proteomic, transcriptomic and biochemical data. A 2-DE reference map of S. solfataricus grown on glucose, consisting of 325 unique ORFs in 255 protein spots, was created to facilitate this study. The map was then used for a differential expression study based on (15)N metabolic labelling (yeast extract + tryptone-grown cells (YT) vs. glucose-grown cells (G)). In addition, the expression ratio of the genes involved in carbon metabolism was studied using DNA microarrays. Surprisingly, only 3 and 14% of the genes and proteins, respectively, involved in central carbon metabolism showed a greater than two-fold change in expression level. All results are discussed in the light of the current understanding of central carbon metabolism in S. solfataricus and will help to obtain a system-wide understanding of this organism.

Archaeal Proteins↗
PubMed2003

Analysis of the Plasmodium and Anopheles transcriptomes during oocyst differentiation.

Understanding the life cycle of the malaria parasite in its mosquito vector is essential for developing new strategies to combat this disease. Subtractive hybridization cDNA libraries were constructed that are enriched for Plasmodium berghei and Anopheles stephensi genes expressed during oocyst differentiation on the midgut. Sequencing of 1485 random clones led to the identification of 1137 unique expressed sequence tags. Of the 608 expressed sequence tags with data base hits, 320 (53%) had significant matches to the non-redundant protein data base, whereas 288 (47%) with matches only to genomic data bases represent novel Plasmodium and Anopheles genes. Transcription of six novel parasite genes and two previously identified asexual stage genes was up-regulated during oocyst differentiation. In addition, the mRNA for an Anopheles fibrinogen domain gene was induced on day 2 after an infectious blood meal, at the time of ookinete to oocyst differentiation. The subcellular distribution of MAEBL, a sporozoite surface protein, is developmentally regulated from presumed storage organelles in day 15 oocysts to uniform distribution on the surface in day 22 oocysts. This redistribution may reflect a sporozoite maturation program in preparation for salivary gland invasion. Furthermore, apical membrane antigen 1, another parasite surface molecule, is translationally regulated late in sporozoite development, suggesting a role during infection of the vertebrate host. The present results and those of an accompanying report (Abraham, E. G., Islam, S., Srinivasan, P., Ghosh, A. K., Valenzuela, J., Ribeiro, J. M., Kafatos, F. C., Dimopoulos, G., & Jacobs-Lorena, M. (2003) J. Biol. Chem. 279, 5573-5580) provide the foundation for studies seeking to understand at the molecular level Plasmodium development and its interactions with the mosquito.

Amino Acid Sequence↗
PubMed2005

Enhanced microarray performance using low complexity representations of the transcriptome.

Low abundance mRNAs are more difficult to examine using microarrays than high abundance mRNAs due to the effect of concentration on hybridization kinetics and signal-to-noise ratios. This report describes the use of low complexity representations (LCRs) of mRNA as the targets for cDNA microarrays. Individual sequences in LCRs are more highly represented than in the mRNA populations from which they are derived, leading to favorable hybridization kinetics. LCR targets permit the measurement of abundance changes that are difficult to measure using oligo(dT) priming for target synthesis. An oligo(dT)-primed target and three LCRs detect twice as many differentially regulated genes as could be detected by the oligo(dT)-primed target alone, in an experiment in which serum-starved fibroblasts responded to the reintroduction of serum. Thus, this target preparation strategy considerably increases the sensitivity of cDNA microarrays.

Cell Line↗
PubMed2002

Functional genomics: high-throughput mRNA, protein, and metabolite analyses.

A tremendous amount of DNA sequence information is now available to scientists and engineers. These DNA sequences provide the foundation for studying how the genome of an organism is functioning and they are particularly useful for metabolic engineers interested in manipulating plants for the production of chemicals and enzymes. Functional genomics relies on high-throughput techniques for measuring the mRNA (the transcriptome), protein (the proteome), and metabolite (the metabolome) components of plants as well as their organs and tissues. Microarray technologies, recent advances in protein mass spectrometry, and high-throughput metabolite analyses are beginning to provide detailed information on the total mRNA, protein, and metabolite components of plants. This knowledge will allow scientists to monitor changes in proteins and metabolites in plants. Ultimately, it may allow them to discover new metabolic pathways and to model metabolic and regulatory networks in plants.

Base Sequence↗
PubMed2025

Chromosome-level genome assembly with telomeric repeats at scaffold ends for Rhabdosargus sarba.

Rhabdosargus sarba, the goldlined seabream, is a euryhaline marine fish of great aquaculture potential. Genome sequencing and assembly of R. sarba was carried utilizing a multi-platform sequencing strategy that included long-read sequencing (PacBio HiFi), short-read sequencing (Illumina), and chromatin interaction mapping (Hi-C). The final genome assembly size after scaffolding was 764.59 Mb in 31 scaffolds with an N50 length of 33.98 Mb. Repeat profiling of primary assembly showed that 28.71% of the genome comprises of repeat elements. Gene prediction utilising the evidence from ab initio prediction and transcriptome data revealed 26,913 protein encoding genes and functional annotation and pathway analysis showed their participation in 332 pathways. This genome is an excellent resource for future research on genetic improvement and molecular breeding programmes for R. sarba.

Animals↗
PubMed2006

The DtxR protein acting as dual transcriptional regulator directs a global regulatory network involved in iron metabolism of Corynebacterium glutamicum.

BACKGROUND: The knowledge about complete bacterial genome sequences opens the way to reconstruct the qualitative topology and global connectivity of transcriptional regulatory networks. Since iron is essential for a variety of cellular processes but also poses problems in biological systems due to its high toxicity, bacteria have evolved complex transcriptional regulatory networks to achieve an effective iron homeostasis. Here, we apply a combination of transcriptomics, bioinformatics, in vitro assays, and comparative genomics to decipher the regulatory network of the iron-dependent transcriptional regulator DtxR of Corynebacterium glutamicum. RESULTS: A deletion of the dtxR gene of C. glutamicum ATCC 13032 led to the mutant strain C. glutamicum IB2103 that was able to grow in minimal medium only under low-iron conditions. By performing genome-wide DNA microarray hybridizations, differentially expressed genes involved in iron metabolism of C. glutamicum were detected in the dtxR mutant. Bioinformatics analysis of the genome sequence identified a common 19-bp motif within the upstream region of 31 genes, whose differential expression in C. glutamicum IB2103 was verified by real-time reverse transcription PCR. Binding of a His-tagged DtxR protein to oligonucleotides containing the 19-bp motifs was demonstrated in vitro by DNA band shift assays. At least 64 genes encoding a variety of physiological functions in iron transport and utilization, in central carbohydrate metabolism and in transcriptional regulation are controlled directly by the DtxR protein. A comparison with the bioinformatically predicted networks of C. efficiens, C. diphtheriae and C. jeikeium identified evolutionary conserved elements of the DtxR network. CONCLUSION: This work adds considerably to our currrent understanding of the transcriptional regulatory network of C. glutamicum genes that are controlled by DtxR. The DtxR protein has a major role in controlling the expression of genes involved in iron metabolism and exerts a dual regulatory function as repressor of genes participating in iron uptake and utilization and as activator of genes responsible for iron storage and DNA protection. The data suggest that the DtxR protein acts as global regulator by controlling the expression of other regulatory proteins that might take care of an iron-dependent regulation of a broader transcriptional network of C. glutamicum genes.

Bacterial Proteins↗
PubMed2002

SAGE profiling and demonstration of differential gene expression along the axial developmental gradient of lignifying xylem in loblolly pine (Pinus taeda).

Wood formation has been studied extensively at the cellular and biochemical levels, but remains poorly understood with respect to gene expression and regulation. As a first step toward identifying genes specifically involved in wood formation and characterizing their roles in determining wood quality, serial analysis of gene expression (SAGE) was used to quantify gene expression in lignifying xylem from a single, 10-year-old loblolly pine (Pinus taeda L.). Two SAGE libraries were generated based on lignifying xylem isolated from either the upper (crown) or lower (base) portions of the trunk. Over 85,000 tags representing a maximum of 27,398 expressed genes were analyzed from the crown wood library, and more than 65,000 tags, representing a maximum of 25,983 expressed genes, were analyzed in the base wood library. Combining these data sets to reflect the sum of genes expressed in lignifying xylem, 150,855 tags were cataloged, representing a maximum of 42,641 different genes. Currently, this study represents the most extensive analysis of its kind in a higher plant and provides a quantitative description of the transcriptome representing the lignifying xylem of a 10-year-old loblolly pine.

DNA, Complementary↗
PubMed2003

Comparative analysis of the Arabidopsis pollen transcriptome.

We present a genome-wide view of the male gametophytic transcriptome in Arabidopsis based on microarray analysis. In comparison with the transcriptome of the sporophyte throughout development, the pollen transcriptome showed reduced complexity and a unique composition. We identified 992 pollen-expressed mRNAs, nearly 40% of which were detected specifically in pollen. Analysis of the functional composition of the pollen transcriptome revealed the over-representation of mRNAs encoding proteins involved in cell wall metabolism, cytoskeleton, and signaling and under-representation of mRNAs involved in transcription and protein synthesis. For several gene families, we observed a common pattern of mutually exclusive gene expression between pollen and sporophytic tissues for different gene family members. Our results provide a 50-fold increase in the knowledge of genes expressed in Arabidopsis pollen. Moreover, we also detail the extensive overlap (61%) of the pollen transcriptome with that of the sporophyte, which provides ample potential to influence sporophytic fitness through gametophytic selection.

Arabidopsis↗