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At least 955 records · Page 53Linked to original sources
PubMed2005

Inparanoid: a comprehensive database of eukaryotic orthologs.

The Inparanoid eukaryotic ortholog database (http://inparanoid.cgb.ki.se/) is a collection of pairwise ortholog groups between 17 whole genomes; Anopheles gambiae, Caenorhabditis briggsae, Caenorhabditis elegans, Drosophila melanogaster, Danio rerio, Takifugu rubripes, Gallus gallus, Homo sapiens, Mus musculus, Pan troglodytes, Rattus norvegicus, Oryza sativa, Plasmodium falciparum, Arabidopsis thaliana, Escherichia coli, Saccharomyces cerevisiae and Schizosaccharomyces pombe. Complete proteomes for these genomes were derived from Ensembl and UniProt and compared pairwise using Blast, followed by a clustering step using the Inparanoid program. An Inparanoid cluster is seeded by a reciprocally best-matching ortholog pair, around which inparalogs (should they exist) are gathered independently, while outparalogs are excluded. The ortholog clusters can be searched on the website using Ensembl gene/protein or UniProt identifiers, annotation text or by Blast alignment against our protein datasets. The entire dataset can be downloaded, as can the Inparanoid program itself.

Animals↗
PubMed2000

MAGPIE/EGRET annotation of the 2.9-Mb Drosophila melanogaster Adh region.

Our challenge in annotating the 2.91-Mb Adh region of the Drosophila melanogaster genome was to identify genetic and genomic features automatically, completely, and precisely within a 6-week period. To do so, we augmented the MAGPIE microbial genome annotation system to handle eukaryotic genomic sequence data. The new configuration required the integration of eukaryotic gene-finding tools and DNA repeat tools into the automatic data collection module. It also required us to define in MAGPIE new strategies to combine data about eukaryotic exon predictions with functional data to refine the exon predictions. At the heart of the resulting new eukaryotic genome annotation system is a reverse comparison of public protein and complementary DNA sequences against the input genome to identify missing exons and to refine exon boundaries. The software modules that add eukaryotic genome annotation capability to MAGPIE are available as EGRET (Eukaryotic Genome Rapid Evaluation Tool).

Alcohol Dehydrogenase↗
PubMed1997

Zooming in on the human-mouse comparative map: genome conservation re-examined on a high-resolution scale.

Over the past decade, conservation of genetic linkage groups has been shown in mammals and used to great advantage, fueling significant exchanges of gene mapping and functional information especially between the genomes of humans and mice. As human physical maps increase in resolution from chromosome bands to nucleotide sequence, comparative alignments of mouse and human regions have revealed striking similarities and surprising differences between the genomes of these two best-mapped mammalian species. Whereas, at present, very few mouse and human regions have been compared on the physical level, existing studies provide intriguing insights to genome evolution, including the observation of recent duplications and deletions of genes that may play significant roles in defining some of the biological differences between the two species. Although high-resolution conserved marker-based maps are currently available only for human and mouse, a variety of new methods and resources are speeding the development of comparative maps of additional organisms. These advances mark the first step toward establishment of the human genome as a reference map for vertebrate species, providing evolutionary and functional annotation to human sequence and vast new resources for genetic analysis of a variety of commercially, medically, and ecologically important animal models.

Animals↗
PubMed2025

MapID-based quantitative mapping of chemical modifications and expression of human transfer RNA.

Detection and quantification of tRNA chemical modifications are critical for understanding their regulatory functions in biology and diseases. However, tRNA-seq-based methods for modification mapping encountered challenges both experimentally (poor processivity of heavily modified tRNAs during reverse transcription or RT) and bioinformatically (frequent reads misalignment to highly similar tRNA genes). Here, we report "MapID-tRNA-seq" where we deployed an evolved reverse transcriptase (RT-1306) into tRNA-seq and developed "MapIDs" that reduce redundancy of the human tRNA genome and explicitly annotate genetic variances. RT-1306 generated robust mutations against m1A and m3C, and RT stops against multiple bulky roadblock modifications. MapID-assisted data processing enabled systematic exclusion of false-positive discoveries of modifications which arise from reads misalignment onto similar genes. We applied MapID-tRNA-seq into mapping m1A, m3C and expression levels of tRNAs in three mammary cell lines, which revealed cell-type dependent modification sites and potential translational regulation of the reduced mitochondrial activities in breast cancer.

Humans↗
PubMed2002

Identification of a novel protein with guanylyl cyclase activity in Arabidopsis thaliana.

Guanylyl cyclases (GCs) catalyze the formation of the second messenger guanosine 3',5'-cyclic monophosphate (cGMP) from guanosine 5'-triphosphate (GTP). While many cGMP-mediated processes in plants have been reported, no plant molecule with GC activity has been identified. When the Arabidopsis thaliana genome is queried with GC sequences from cyanobacteria, lower and higher eukaryotes no unassigned proteins with significant similarity are found. However, a motif search of the A. thaliana genome based on conserved and functionally assigned amino acids in the catalytic center of annotated GCs returns one candidate that also contains the adjacent glycine-rich domain typical for GCs. In this molecule, termed AtGC1, the catalytic domain is in the N-terminal part. AtGC1 contains the arginine or lysine that participates in hydrogen bonding with guanine and the cysteine that confers substrate specificity for GTP. When AtGC1 is expressed in Escherichia coli, cell extracts yield >2.5 times more cGMP than control extracts and this increase is not nitric oxide dependent. Furthermore, purified recombinant AtGC1 has Mg(2+)-dependent GC activity in vitro and >3 times less adenylyl cyclase activity when assayed with ATP as substrate in the absence of GTP. Catalytic activity in vitro proves that AtGC1 can function either as a monomer or homo-oligomer. AtGC1 is thus not only the first functional plant GC but also, due to its unusual domain organization, a member of a new class of GCs.

Amino Acid Sequence↗
PubMed2006

Iron and the anaemia of chronic disease: a review and strategic recommendations.

BACKGROUND: The incidence of anaemia is high in many chronic conditions, yet it often receives little attention. SCOPE/METHODS: A panel of international experts with experience in haematology, nephrology, oncology, rheumatology and pharmacy was convened to prepare strategic guidelines. A focused literature search was conducted after key issues had been identified. A series of recommendations was agreed, backed, wherever possible, by published evidence which is included in the annotations. RECOMMENDATIONS: Anaemia is a critical issue for patients with chronic diseases. Healthcare professionals need to recognise that anaemia is a frequent companion of cancer and chronic conditions such as rheumatoid arthritis and heart failure. It reduces patients' quality of life and can increase morbidity and mortality. Anaemia should be considered as a disordered process in which the rate of red cell production fails to match the rate of destruction which leads eventually to a reduction in haemoglobin concentration; this process is common to all chronic anaemias. The aim of anaemia management should be to restore patient functionality and quality of life by restoring effective red cell production. Blood transfusion can elevate haemoglobin concentration in the short term but does nothing to address the underlying disorder; red cell transfusion is, therefore, not an appropriate treatment for chronic anaemia. Patients with anaemia of chronic disease may benefit from iron therapy and/or erythropoiesis stimulating agents (ESAs). Intravenous iron should be considered since this can be given safely to patients with chronic diseases while intramuscular iron causes unacceptable adverse effects and oral iron has limited efficacy in chronic anaemia. CONCLUSION: The management of anaemia calls for the development of a specialist service together with education of all healthcare professionals and transfer of skills from areas of good practice. Improvement in the management of anaemia requires a fundamental change of attitude from healthcare professionals.

Anemia, Iron-Deficiency↗
PubMed2002

The Drosophila gene collection: identification of putative full-length cDNAs for 70% of D. melanogaster genes.

Collections of full-length nonredundant cDNA clones are critical reagents for functional genomics. The first step toward these resources is the generation and single-pass sequencing of cDNA libraries that contain a high proportion of full-length clones. The first release of the Drosophila Gene Collection Release 1 (DGCr1) was produced from six libraries representing various tissues, developmental stages, and the cultured S2 cell line. Nearly 80,000 random 5' expressed sequence tags (5' expressed sequence tags [ESTs]from these libraries were collapsed into a nonredundant set of 5849 cDNAs, corresponding to ~40% of the 13,474 predicted genes in Drosophila. To obtain cDNA clones representing the remaining genes, we have generated an additional 157,835 5' ESTs from two previously existing and three new libraries. One new library is derived from adult testis, a tissue we previously did not exploit for gene discovery; two new cap-trapped normalized libraries are derived from 0-22-h embryos and adult heads. Taking advantage of the annotated D. melanogaster genome sequence, we clustered the ESTs by aligning them to the genome. Clusters that overlap genes not already represented by cDNA clones in the DGCr1 were analyzed further, and putative full-length clones were selected for inclusion in the new DGC. This second release of the DGC (DGCr2) contains 5061 additional clones, extending the collection to 10,910 cDNAs representing >70% of the predicted genes in Drosophila.

Animals↗
PubMed2004

Numerous novel annotations of the human genome sequence supported by a 5'-end-enriched cDNA collection.

A collection of 90,000 human cDNA clones generated to increase the fraction of "full-length" cDNAs available was analyzed by sequence alignment on the human genome assembly. Five hundred fifty-two gene models not found in LocusLink, with coding regions of at least 300 bp, were defined by using this collection. Exon composition proposed for novel genes showed an average of 4.7 exons per gene. In 20% of the cases, at least half of the exons predicted for new genes coincided with evolutionary conserved regions defined by sequence comparisons with the pufferfish Tetraodon nigroviridis. Among this subset, CpG islands were observed at the 5' end of 75%. In-frame stop codons upstream of the initiator ATG were present in 49% of the new genes, and 16% contained a coding region comprising at least 50% of the cDNA sequence. This cDNA resource also provided candidate small protein-coding genes, usually not included in genome annotations. In addition, analysis of a sample from this cDNA collection indicates that approximately 380 gene models described in LocusLink could be extended at their 5' end by at least one new exon. Finally, this cDNA resource provided an experimental support for annotations based exclusively on predictions, thus representing a resource substantially improving the human genome annotation.

5' Untranslated Regions↗
PubMed2025

Colorectal Liver Metastasis Pathomics Model: Integrating Single-Cell and Spatial Transcriptome Analysis With Pathomics for Predicting Liver Metastasis in Colorectal Cancer.

The liver is the primary target organ for hematologic metastasis of colorectal cancer (CRC), and CRC liver metastasis (CRLM) often precludes radical resection, making it the leading cause of death in patients with CRC. To improve the identification and prediction of liver metastasis risk, we identified a cell type of liver metastasis--triggering malignant cells (LMTMCs) through integrating single-cell RNA sequencing and spatial transcriptome analysis. Multiomics cell communication analysis indicated that the interaction between fibroblasts and LMTMCs through the COL1A1-CD44/SDC4 and LAMA4-CD44 signaling axes could promote CRLM. By applying the one-class logistic regression algorithm, we developed a CRLM scoring system in the bulk RNA-sequencing data according to the abundance of LMTMCs in each individual. Using the grouping labels derived from the CRLM scoring system in the bulk data and the corresponding whole-slide images without any manual annotations at the region or pixel level, processed via slide-level weakly supervised learning, a deep-learning model based on the ResNet18 architecture, called Colorectal Liver Metastasis Pathomics Model, was developed to predict the risk of liver metastasis in patients with CRC. The Colorectal Liver Metastasis Pathomics Model achieved an area under the curve of 0.84 at the internal test set of The Cancer Genome Atlas-CRC histology images. In the external independent validation sets, namely the Affiliated Hospital of Southwest Medical University and the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University cohorts, the areas under the curve were 0.89 and 0.72, respectively, indicating effective classification performances. This study provided new insights and tools for the early identification of CRLM and demonstrated the potential of combining multiomics with deep learning-based pathomics in cancer research.

Humans↗
PubMed2005

Recent innovations in tissue-specific gene modifications in the mouse.

Annotating the functions of individual genes in in vivo contexts has become the primary task of mouse genetics in the post-genome era. In addition to conventional approaches using transgenic technologies and gene targeting, the recent development of conditional gene modification techniques has opened novel opportunities for elucidating gene function at the level of the whole mouse to individual tissues or cell types. Tissue-specific gene modifications in the mouse have been made possible using site-specific DNA recombinases and conditional alleles. Recent innovations in this basic technology have facilitated new types of experiments, revealing novel insights into mammalian embryology. In this review, we focus on these recent innovations and new technical issues that impact the success of these conditional gene modification approaches.

Animals↗
PubMed2006

Comprehensive proteomic analysis of Shigella flexneri 2a membrane proteins.

Shigella flexneri is the causative agent of most shigellosis cases in developing countries. We used different proteolytic enzymes to selectively shave the protruding proteins on the surface of purified bacterial membrane sheets or vesicles, and recovered peptides were subsequently identified using 2-D LC-MS/MS. As a result, a total of 666 proteins were unambiguously assigned, including 159 integral membrane proteins, 35 outer membrane proteins and 114 proteins previously annotated as hypothetical. The former had an average grand average hydrophobicity score of 0.362 and were predicted to separate within a pH range of 4.1-10.6 with molecular mass 8-148 kDa, which represents the largest validated set of integral membrane proteins in this organism to date. A functional classification revealed that a large proportion of the identified proteins were involved in cell envelope biogenesis and energy production and conversion. For the first time, this work provides a global view of the S. flexneri 2a membrane subproteome.

Bacterial Outer Membrane Proteins↗
PubMed2004

Information assessment on predicting protein-protein interactions.

BACKGROUND: Identifying protein-protein interactions is fundamental for understanding the molecular machinery of the cell. Proteome-wide studies of protein-protein interactions are of significant value, but the high-throughput experimental technologies suffer from high rates of both false positive and false negative predictions. In addition to high-throughput experimental data, many diverse types of genomic data can help predict protein-protein interactions, such as mRNA expression, localization, essentiality, and functional annotation. Evaluations of the information contributions from different evidences help to establish more parsimonious models with comparable or better prediction accuracy, and to obtain biological insights of the relationships between protein-protein interactions and other genomic information. RESULTS: Our assessment is based on the genomic features used in a Bayesian network approach to predict protein-protein interactions genome-wide in yeast. In the special case, when one does not have any missing information about any of the features, our analysis shows that there is a larger information contribution from the functional-classification than from expression correlations or essentiality. We also show that in this case alternative models, such as logistic regression and random forest, may be more effective than Bayesian networks for predicting interactions. CONCLUSIONS: In the restricted problem posed by the complete-information subset, we identified that the MIPS and Gene Ontology (GO) functional similarity datasets as the dominating information contributors for predicting the protein-protein interactions under the framework proposed by Jansen et al. Random forests based on the MIPS and GO information alone can give highly accurate classifications. In this particular subset of complete information, adding other genomic data does little for improving predictions. We also found that the data discretizations used in the Bayesian methods decreased classification performance.

Artificial Intelligence↗
PubMed2005

Systematic analysis of human kinase genes: a large number of genes and alternative splicing events result in functional and structural diversity.

BACKGROUND: Protein kinases are a well defined family of proteins, characterized by the presence of a common kinase catalytic domain and playing a significant role in many important cellular processes, such as proliferation, maintenance of cell shape, apoptosis. In many members of the family, additional non-kinase domains contribute further specialization, resulting in subcellular localization, protein binding and regulation of activity, among others. About 500 genes encode members of the kinase family in the human genome, and although many of them represent well known genes, a larger number of genes code for proteins of more recent identification, or for unknown proteins identified as kinase only after computational studies. RESULTS: A systematic in silico study performed on the human genome, led to the identification of 5 genes, on chromosome 1, 11, 13, 15 and 16 respectively, and 1 pseudogene on chromosome X; some of these genes are reported as kinases from NCBI but are absent in other databases, such as KinBase. Comparative analysis of 483 gene regions and subsequent computational analysis, aimed at identifying unannotated exons, indicates that a large number of kinase may code for alternately spliced forms or be incorrectly annotated. An InterProScan automated analysis was performed to study domain distribution and combination in the various families. At the same time, other structural features were also added to the annotation process, including the putative presence of transmembrane alpha helices, and the cystein propensity to participate into a disulfide bridge. CONCLUSION: The predicted human kinome was extended by identifying both additional genes and potential splice variants, resulting in a varied panorama where functionality may be searched at the gene and protein level. Structural analysis of kinase proteins domains as defined in multiple sources together with transmembrane alpha helices and signal peptide prediction provides hints to function assignment. The results of the human kinome analysis are collected in the KinWeb database, available for browsing and searching over the internet, where all results from the comparative analysis and the gene structure annotation are made available, alongside the domain information. Kinases may be searched by domain combinations and the relative genes may be viewed in a graphic browser at various level of magnification up to gene organization on the full chromosome set.

Algorithms↗
PubMed2005

Two-dimensional gel electrophoresis maps of the proteome and phosphoproteome of primitively cultured rat mesangial cells.

Mesangial cells (MC) play an important role in maintaining the structure and function of the glomerulus. The proliferation of MC is a prominent feature of many kinds of glomerular disease. The first reference 2-DE maps of rat mesangial cells (RMC), stained with silver staining or Pro-Q Diamond dye, have been established here to describe the proteome and phosphoproteome of RMC, respectively. A total of 157 selected protein spots, corresponding to 118 unique proteins, have been identified by MALDI-TOF-MS or LC-ESI-IT-MS/MS, in which 37 protein spots representing 28 unique proteins have also been stained with Pro-Q Diamond, indicating that they are in phosphorylated forms. All the identified proteins were bioinformatically annotated in detail according to their physiochemical characteristics, subcellular location, and function. Most of the separated or identified protein spots are distributed in the area of mass 10-70 kDa and pI 5.0-8.0. The identified proteins include mainly cytoplasmic and nuclear proteins and some mitochondrial, endoplasmic reticulum, and membrane proteins. These proteins are classified into different functional groups such as structure and mobility proteins (21.2%), metabolic enzymes (16.9%), protein folding and metabolism proteins (13.6%), signaling proteins (14.4%), heat-shock proteins (7.6%), and other functional proteins (12.7%). While structure and mobility proteins are mostly represented by protein spots with high abundance, signaling proteins are mostly represented by protein spots with relatively low abundance. Such a 2-DE database for RMC, especially with many signaling proteins and phosphoproteins characterized, will provide a valuable resource for comparative proteomics analysis of normal and pathologic conditions affecting MC function or pathologic progress.

Animals↗
PubMed2026

Changes of DNA methylation and gene expression profile in placental villi and chorioamniotic membranes under preeclampsia.

BACKGROUND: Preeclampsia (PE) is a serious pregnancy complication with elusive pathogenesis. Although epigenetic dysregulation is implicated, its layer-specific placental roles are poorly defined. This study aimed to identify shared and layer-specific epigenetic alterations in PE by profiling DNA methylation and gene expression in placental villi (PV) and chorioamniotic membranes (CAM). RESEARCH DESIGN AND METHODS: PV and CAM samples were collected from 7 normal and 8 PE pregnancies, and three public DNA methylation datasets (GSE98224, GSE44667, GSE75196) were integrated. Differentially methylated genes (DMGs) and differentially expressed genes (DEGs) were identified based on whole-genome methylation and transcriptome sequencing. Layer-specific and shared gene sets were identified by cross-analysis, with functional annotation using Gene Ontology (GO). RESULTS: EM-seq revealed a hypermethylation-dominant, tissue-specific methylation landscape in PE placentas. Cross-tissue comparison identified shared DMGs between the two layers, including nine key genes consistently altered in public datasets. Integrated analysis in PV further identified 22 co-dysregulated genes, enriched in thermoregulation, maternal-fetal immunity, signal transduction, and cell differentiation. CONCLUSIONS: This study elucidates the shared and layer-specific dysregulation of gene networks at methylomic and transcriptomic levels in PE placenta. Comparing PV and CAM highlights placental epigenetic heterogeneity and dysfunction, offering novel clues for mechanistic research and layer-targeted therapies.

Humans↗
PubMed2003

Recognizing translation initiation sites of eukaryotic genes based on the cooperatively scanning model.

MOTIVATION: Translation initiation sites (TISs) of genes are the key points of protein synthesis. Exact recognition of TISs in eukaryotic genes is one of the most important tasks in gene-finding algorithms. However, the task has not been satisfactorily fulfilled up to the present. Here, we propose a cooperatively scanning model for recognizing TISs and the first exons of eukaryotic genes on the basis of the structural characteristics of multi-exon genes. RESULTS: The model was employed to cooperatively scan the TISs and 3' splicing sites in eukaryotic genes, and the TISs and the first exons of 132 mammalian gene sequences are identified to evaluate the model. Accuracy of exactly recognizing the TISs and the first exons has been found to amount respectively to 64.4 and 51.5%. We believe that the model will be a useful tool for genome annotation and that it can be easily incorporated into other algorithms to achieve higher accuracy in recognizing TISs and the first exons. AVAILABILITY: The program is available upon request.

Algorithms↗
PubMed2004

ACLAME: a CLAssification of Mobile genetic Elements.

The ACLAME database (http://aclame.ulb.ac.be) is a collection and classification of prokaryotic mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons. In addition to providing information on the full genomes and genetic entities, it aims to build a comprehensive classification of the functional modules of MGEs at the protein, gene and higher levels. This first version contains a comprehensive classification of 5069 proteins from 119 DNA bacteriophages into over 400 functional families. This classification was produced automatically using TRIBE-MCL, a graph-theory-based Markov clustering algorithm that uses sequence measures as input, and then manually curated. Manual curation was aided by consulting annotations available in public databases retrieved through additional sequence similarity searches using Psi-Blast and Hidden Markov Models. The database is publicly accessible and open to expert volunteers willing to participate in its curation. Its web interface allows browsing as well as querying the classification. The main objectives are to collect and organize in a rational way the complexity inherent to MGEs, to extend and improve the inadequate annotation currently associated with MGEs and to screen known genomes for the validation and discovery of new MGEs.

Bacteriophages↗
PubMed2005

Cloning, expression, purification and preliminary crystallographic data for Rv3214 (EntD), a predicted cofactor-dependent phosphoglycerate mutase from Mycobacterium tuberculosis.

The Mycobacterium tuberculosis open reading frame Rv3214, annotated as a cofactor-dependent phosphoglycerate mutase, has been cloned and expressed as an N-terminally His-tagged protein. Tagged, untagged and selenomethionine-labelled forms of Rv3214 (EntD) have been purified using nickel-affinity chromatography and gel filtration. The selenomethionine-labelled crystals diffracted to 2.15 A resolution and belong to space group P2(1), with unit-cell parameters a = 44.36, b = 79.03, c = 52.85 A, beta = 109.11 degrees. There are two molecules of molecular weight 21,948 Da per asymmetric unit.

Cloning, Molecular↗