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At least 1,009 records · Page 56Linked to original sources
PubMed2004

Iterative class discovery and feature selection using Minimal Spanning Trees.

BACKGROUND: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples are based on distance metrics utilizing all genes. This has the effect of obscuring clustering in samples that may be evident only when looking at a subset of genes, because noise from irrelevant genes dominates the signal from the relevant genes in the distance calculation. RESULTS: We describe an algorithm for automatically detecting clusters of samples that are discernable only in a subset of genes. We use iteration between Minimal Spanning Tree based clustering and feature selection to remove noise genes in a step-wise manner while simultaneously sharpening the clustering. Evaluation of this algorithm on synthetic data shows that it resolves planted clusters with high accuracy in spite of noise and the presence of other clusters. It also shows a low probability of detecting spurious clusters. Testing the algorithm on some well known micro-array data-sets reveals known biological classes as well as novel clusters. CONCLUSIONS: The iterative clustering method offers considerable improvement over clustering in all genes. This method can be used to discover partitions and their biological significance can be determined by comparing with clinical correlates and gene annotations. The MATLAB programs for the iterative clustering algorithm are available from http://linus.nci.nih.gov/supplement.html

Acute Disease↗
PubMed2005

Gene expression profiling in squamous cell carcinoma of the oral cavity shows abnormalities in several signaling pathways.

OBJECTIVES/HYPOTHESIS: To examine gene expression profiles in squamous cell carcinoma of the oral cavity (oral SCC) compared with histologically matched normal tissue. STUDY DESIGN: Fresh-frozen tissue was prospectively obtained from individuals undergoing surgical resections for oral SCC. METHODS: RNA was extracted from seven sets of oral SCC and matched normal tissue. Gene expression profiles were obtained by interrogation of Affymetrix Gene Chip Arrays with cRNA prepared from the tissue. Expression values were subjected to a paired t test. Genes that were judged to differ between oral SCC and normal tissue were annotated according to their name in the Affymetrix Netaffx database and according to their function as indicated by their Gene Ontology Consortium number. RESULTS: Of the 10,599 probe sets that were analyzed, 523 genes were abnormally expressed in SCC of the head and neck (P < or = .01), and 417 of these genes were abnormally expressed in all seven tumors in the same manner. Hierarchical clustering of the 121 genes that were abnormally expressed in cancerous relative to normal tissue (P < or = .001) showed that the tissue segregated into two groups consisting of normal and transformed tissue, as expected. The abnormal expression of two genes that were up regulated in oral SCC (ADAM 12 and PTHLH) and two genes that were down-regulated in SCCHN (EMP-1 and P11) were confirmed by real-time polymerase chain reaction and immunohistochemistry (ADAM 12) using additional sets of tissue. CONCLUSIONS: The data showed that oral SCC aberrantly express genes in cellular pathways related to proliferation, apoptosis, extracellular matrix degradation, adhesion, transforming growth factor-beta signaling, and transcription. Further work is needed to determine the role of these genes in the development and progression of oral SCC.

ADAM Proteins↗
PubMed2004

Purification and characterization of ferredoxin-NADP+ reductase encoded by Bacillus subtilis yumC.

From Bacillus subtilis cell extracts, ferredoxin-NADP+ reductase (FNR) was purified to homogeneity and found to be the yumC gene product by N-terminal amino acid sequencing. YumC is a approximately 94-kDa homodimeric protein with one molecule of non-covalently bound FAD per subunit. In a diaphorase assay with 2,6-dichlorophenol-indophenol as electron acceptor, the affinity for NADPH was much higher than that for NADH, with Km values of 0.57 microM vs >200 microM. Kcat values of YumC with NADPH were 22.7 s(-1) and 35.4 s(-1) in diaphorase and in a ferredoxin-dependent NADPH-cytochrome c reduction assay, respectively. The cell extracts contained another diaphorase-active enzyme, the yfkO gene product, but its affinity for ferredoxin was very low. The deduced YumC amino acid sequence has high identity to that of the recently identified Chlorobium tepidum FNR. A genomic database search indicated that there are more than 20 genes encoding proteins that share a high level of amino acid sequence identity with YumC and which have been annotated variously as NADH oxidase, thioredoxin reductase, thioredoxin reductase-like protein, etc. These genes are found notably in gram-positive bacteria, except Clostridia, and less frequently in archaea and proteobacteria. We propose that YumC and C. tepidum FNR constitute a new group of FNR that should be added to the already established plant-type, bacteria-type, and mitochondria-type FNR groups.

Bacillus subtilis↗
PubMed2003

From gene networks to brain networks.

The brain's structural organization is so complex that 2,500 years of analysis leaves pervasive uncertainty about (i) the identity of its basic parts (regions with their neuronal cell types and pathways interconnecting them), (ii) nomenclature, (iii) systematic classification of the parts with respect to topographic relationships and functional systems and (iv) the reliability of the connectional data itself. Here we present a prototype knowledge management system (http://brancusi.usc.edu/bkms/) for analyzing the architecture of brain networks in a systematic, interactive and extendable way. It supports alternative interpretations and models, is based on fully referenced and annotated data and can interact with genomic and functional knowledge management systems through web services protocols.

Animals↗
PubMed2001

Molecular interaction maps as information organizers and simulation guides.

A graphical method for mapping bioregulatory networks is presented that is suited for the representation of multimolecular complexes, protein modifications, as well as actions at cell membranes and between protein domains. The symbol conventions defined for these molecular interaction maps are designed to accommodate multiprotein assemblies and protein modifications that can generate combinatorially large numbers of molecular species. Diagrams can either be "heuristic," meaning that detailed knowledge of all possible reaction paths is not required, or "explicit," meaning that the diagrams are totally unambiguous and suitable for simulation. Interaction maps are linked to annotation lists and indexes that provide ready access to pertinent data and references, and that allow any molecular species to be easily located. Illustrative interaction maps are included on the domain interactions of Src, transcription control of E2F-regulated genes, and signaling from receptor tyrosine kinase through phosphoinositides to Akt/PKB. A simple method of going from an explicit interaction diagram to an input file for a simulation program is outlined, in which the differential equations need not be written out. The role of interaction maps in selecting and defining systems for modeling is discussed. (c) 2001 American Institute of Physics.

Journal Article↗
PubMed2002

The genome-wide transcriptional responses of Saccharomyces cerevisiae grown on glucose in aerobic chemostat cultures limited for carbon, nitrogen, phosphorus, or sulfur.

Profiles of genome-wide transcriptional events for a given environmental condition can be of importance in the diagnosis of poorly defined environments. To identify clusters of genes constituting such diagnostic profiles, we characterized the specific transcriptional responses of Saccharomyces cerevisiae to growth limitation by carbon, nitrogen, phosphorus, or sulfur. Microarray experiments were performed using cells growing in steady-state conditions in chemostat cultures at the same dilution rate. This enabled us to study the effects of one particular limitation while other growth parameters (pH, temperature, dissolved oxygen tension) remained constant. Furthermore, the composition of the media fed to the cultures was altered so that the concentrations of excess nutrients were comparable between experimental conditions. In total, 1881 transcripts (31% of the annotated genome) were significantly changed between at least two growth conditions. Of those, 484 were significantly higher or lower in one limitation only. The functional annotations of these genes indicated cellular metabolism was altered to meet the growth requirements for nutrient-limited growth. Furthermore, we identified responses for several active transcription factors with a role in nutrient assimilation. Finally, 51 genes were identified that showed 10-fold higher or lower expression in a single condition only. The transcription of these genes can be used as indicators for the characterization of nutrient-limited growth conditions and provide information for metabolic engineering strategies.

Carbon↗
PubMed2006

Genomewide analysis of phospholipid signaling genes in Phytophthora spp.: novelties and a missing link.

Phospholipids are cellular membrane components in eukaryotic cells that execute many important roles in signaling. Genes encoding enzymes required for phospholipid signaling and metabolism have been characterized in several organisms, but only a few have been described for oomycetes. In this study, the genome sequences of Phytophthora sojae and P. ramorum were explored to construct a comprehensive genomewide inventory of genes involved in the most universal phospholipid signaling pathways. Several genes and gene families were annotated, including those encoding phosphatidylinositol synthase (PIS), phosphatidylinositol (phosphate) kinase (PI[P]K), diacylglycerol kinase (DAG), and phospholipase D (PLD). The most obvious missing link is a gene encoding phospholipase C (PLC). In all eukaryotic genomes sequenced to date, PLC genes are annotated based on certain conserved features; however, these genes seem to be absent in Phytophthora spp. Analysis of the structural and regulatory domains and domain organization of the predicted isoforms of PIS, PIK, PIPK, DAG, and PLD revealed many novel features compared with characterized representatives in other eukaryotes. Examples are transmembrane proteins with a C-terminal catalytic PLD domain, secreted PLD-like proteins, and PIPKs that have an N-terminal G-protein-coupled receptor-transmembrane signature. Compared with other sequenced eukaryotes, the genus Phytophthora clearly has several exceptional features in its phospholipid-modifying enzymes.

1-Phosphatidylinositol 4-Kinase↗
PubMed2004

The lamin B receptor of Drosophila melanogaster.

The lamin B receptor (LBR) is an integral membrane protein of the inner nuclear membrane that has so far been characterized only in vertebrates. Here, we describe the Drosophila melanogaster protein encoded by the annotated gene CG17952 that is the putative ortholog to the vertebrate LBR. The Drosophila lamin B receptor (dLBR) has the following properties in common with the vertebrate LBR. First, structure predictions indicate that the 741 amino acid dLBR protein possesses a highly charged N-terminal domain of 307 amino acids followed by eight transmembrane segments in the C-terminal domain of the molecule. Second, immunolocalization and cell fractionation reveal that the dLBR is an integral membrane protein of the inner nuclear membrane. Third, dLBR can be shown by co-immunoprecipitations and in vitro binding assays to bind to the Drosophila B-type lamin Dm0. Fourth, the N-terminal domain of dLBR is sufficient for in vitro binding to sperm chromatin and lamin Dm0. In contrast to the human LBR, dLBR does not possess sterol C14 reductase activity when it is expressed in the Saccharomyces cerevisiae erg24 mutant, which lacks sterol C14 reductase activity. Our data raise the possibility that, during evolution, the enzymatic activity of this insect protein had been lost. To determine whether the dLBR is an essential protein, we depleted it by RNA interference in Drosophila embryos and in cultured S2 and Kc167 cells. There is no obvious effect on the nuclear architecture or viability of treated cells and embryos, whereas the depletion of Drosophila lamin Dm0 in cultured cells and embryos caused morphological alterations of nuclei, nuclear fragility and the arrest of embryonic development. We conclude that dLBR is not a limiting component of the nuclear architecture in Drosophila cells during the first 2 days of development.

Amino Acid Sequence↗
PubMed2003

The mitochondrial proteins of the neuroblastoma cell line IMR-32.

Mitochondrial proteins exert important functions in biological pathways, particularly they are involved in apoptotic processes. We applied proteomics technologies to analyze the mitochondrial proteins of the neuroblastoma cell line IMR-32, which is often used in apoptosis studies. The proteins were analyzed by two-dimensional (2-D) electrophoresis followed by matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS). 185 different gene products were identified, of which approximately 55% were enzymes with a broad spectrum of catalytic activities. Sixteen proteins were detected only in this preparation, the others have been detected in two or more protein samples analyzed by MS in our laboratory. The 16 unique gene products were represented by one spot each, whereas most of the frequently detected proteins were represented by multiple spots. In average, approximately 5-10 spots corresponded to one gene product. For two thirds of the proteins identified, an annotation exists in the SWISS-PROT database about their subcellular location. They are mainly described as mitochondrial, 8 as endoplasmic reticulum, 3 as peroxisomal and only 12 low-abundance proteins are described as cytosolic proteins. The list includes about 30 unknown, hypothetical or poorly described gene products. Some of them are represented by strong spots and the present study shows that they are indeed expressed and are localized in the mitochondria.

Apoptosis↗
PubMed2004

A proteomic characterization of the plasma membrane of human epidermis by high-throughput mass spectrometry.

Membrane proteins are responsible for many critical cellular functions and identifying cell surface proteins on different keratinocyte populations by proteomic approaches would improve our understanding of their biological function. The ability to characterize membrane proteins, however, has lagged behind that of soluble proteins both in terms of throughput and protein coverage. In this study, a membrane proteomic investigation of keratinocytes using a two-dimensional liquid chromatography (LC) tandem-mass spectrometry (MS/MS) approach that relies on a buffered methanol-based solubilization, and tryptic digestion of purified plasma membrane is described. A highly enriched plasma membrane fraction was prepared from newborn foreskins using sucrose gradient centrifugation, followed by a single-tube solubilization and tryptic digestion of membrane proteins. This digestate was fractionated by strong cation-exchange chromatography and analyzed using microcapillary reversed-phase LC-MS/MS. In a set of 1306 identified proteins, 866 had a gene ontology (GO) annotation for cellular component, and 496 of these annotated proteins (57.3%) were assigned as known integral membrane proteins or membrane-associated proteins. Included in the identification of a large number of aqueous insoluble integral membrane proteins were many known intercellular adhesion proteins and gap junction proteins. Furthermore, 121 proteins from cholesterol-rich plasma membrane domains (caveolar and lipid rafts) were identified.

Caveolae↗
PubMed2004

Identification of novel highly expressed genes in pancreatic ductal adenocarcinomas through a bioinformatics analysis of expressed sequence tags.

In most microarray experiments, a significant fraction of the differentially expressed mRNAs identified correspond to expressed sequence tags (ESTs) and are generally discarded from further analyses. We used careful bioinformatics analyses to characterize those ESTs that were found to be highly overexpressed in a series of pancreatic adenocarcinomas. cDNA was prepared from 60 non-neoplastic samples (normal pancreas [n = 20], normal colon [n = 10], or normal duodenal mucosal [n = 30]) and from 64 pancreatic cancers (resected cancers [n = 50] or cancer cell lines [n = 14]) and hybridized to the complete Affymetrix Human Genome U133 GeneChip(R) set (arrays U133A and B) for simultaneous analysis of 45,000 fragments corresponding to 33,000 known genes and 6,000 ESTs. The GeneExpress(R) software system Fold Change Analysis Tool was used and 60 ESTs were identified that were expressed at levels at least 3-fold greater in the pancreatic cancers as compared to normal tissues. Searches against the human genomic sequence and comparative genomic analysis of human and mouse genomes was carried out using basic local alignment search tools (BLAST), BLASTN, and BLASTX, for identifying protein coding genes corresponding to the ESTs. Subsequently, in order to pick the most relevant candidate genes for a more detailed analysis, we looked for domains/motifs in the open reading frames using SMART and Pfam programs. We were able to definitively map 43 of the 60 ESTs to known or novel genes, and 15 of the ESTs could be localized in close proximity to a gene in the human genome although we were unable to establish that the EST was indeed derived from those genes. The differential expression of a subset of genes was confirmed at the protein level by immunohistochemical labeling of tissue microarrays (inhibin beta A [INHBA] and CD29) and/or at the transcript level by RT-PCR (INHBA, AKAP12, ELK3, FOXQ1, EIF5A2, and EFNA5). We conclude that bioinformatics tools can be used to characterize differentially overexpressed ESTs, and that some of these ESTs may represent diagnostically and therapeutically useful targets that might be missed using data solely from currently annotated databases.

Adenocarcinoma↗
PubMed2002

Molecular identification of the first insect ecdysis triggering hormone receptors.

The Drosophila Genome Project website (www.flybase.org) contains an annotated gene sequence (CG5911), coding for a G protein-coupled receptor. We cloned the cDNA corresponding to this sequence and found that the gene has not been correctly predicted. The corrected gene CG5911 has five introns and six exons (1-6). Alternative splicing yields two cDNAs called A (containing exons 1-5) and B (containing exons 1-4, 6). We expressed these splicing variants in Chinese hamster ovary cells and found that the corrected CG5911-A and -B cDNAs coded for two different G protein-coupled receptors that could be activated by low concentrations of Drosophila ecdysis triggering hormones-1 and -2. Ecdysis (cuticle shedding) is an important behaviour, allowing growth and metamorphosis in insects and other arthropods. Our paper is the first report on the molecular identification of ecdysis triggering hormone receptors from insects.

Alternative Splicing↗
PubMed2003

Bioinformatics-based identification of chemosensory proteins in African Malaria Mosquito, Anopheles gambiae.

Chemosensory proteins (CSPs) are identifiable by four spatially conserved Cysteine residues in their primary structure or by two disulfide bridges in their tertiary structure according to the previously identified olfactory specific-D related proteins. A genomics- and bioinformatics-based approach is taken in the present study to identify the putative CSPs in the malaria-carrying mosquito, Anopheles gambiae. The results show that five out of the nine annotated candidates are the most possible Anopheles CSPs of A. gambiae. This study lays the foundation for further functional identification of Anopheles CSPs, though all of these candidates need additional experimental verification.

Amino Acid Sequence↗
PubMedDate not supplied

PowerMV: a software environment for molecular viewing, descriptor generation, data analysis and hit evaluation.

Ideally, a team of biologists, medicinal chemists and information specialists will evaluate the hits from high throughput screening. In practice, it often falls to nonmedicinal chemists to make the initial evaluation of HTS hits. Chemical genetics and high content screening both rely on screening in cells or animals where the biological target may not be known. There is a need to place active compounds into a context to suggest potential biological mechanisms. Our idea is to build an operating environment to help the biologist make the initial evaluation of HTS data. To this end the operating environment provides viewing of compound structure files, computation of basic biologically relevant chemical properties and searching against biologically annotated chemical structure databases. The benefit is to help the nonmedicinal chemist, biologist and statistician put compounds into a potentially informative biological context. Although there are several similar public and private programs used in the pharmaceutical industry to help evaluate hits, these programs are often built for computational chemists. Our program is designed for use by biologists and statisticians.

Computer Simulation↗
PubMed2003

Characterization of long cDNA clones from human adult spleen. II. The complete sequences of 81 cDNA clones.

To accumulate information on the coding sequences (CDSs) of unidentified genes, we have conducted a sequencing project of human long cDNA clones. Both the end sequences of approximately 10,000 cDNA clones from two size-fractionated human spleen cDNA libraries (average sizes of 4.5 kb and 5.6 kb) were determined by single-pass sequencing to select cDNAs with unidentified sequences. We herein present the entire sequences of 81 cDNA clones, most of which were selected by two approaches based on their protein-coding potentialities in silico: Fifty-eight cDNA clones were selected as those having protein-coding potentialities at the 5'-end of single-pass sequences by applying the GeneMark analysis; and 20 cDNA clones were selected as those expected to encode proteins larger than 100 amino acid residues by analysis of the human genome sequences flanked by both the end sequences of cDNAs using the GENSCAN gene prediction program. In addition to these newly identified cDNAs, three cDNA clones were isolated by colony hybridization experiments using probes corresponding to known gene sequences since these cDNAs are likely to contain considerable amounts of new information regarding the genes already annotated. The sequence data indicated that the average sizes of the inserts and corresponding CDSs of cDNA clones analyzed here were 5.0 kb and 2.0 kb (670 amino acid residues), respectively. From the results of homology and motif searches against the public databases, functional categories of the 29 predicted gene products could be assigned; 86% of these predicted gene products (25 gene products) were classified into proteins relating to cell signaling/communication, nucleic acid management, and cell structure/motility.

Adult↗
PubMed2003

GenDB--an open source genome annotation system for prokaryote genomes.

The flood of sequence data resulting from the large number of current genome projects has increased the need for a flexible, open source genome annotation system, which so far has not existed. To account for the individual needs of different projects, such a system should be modular and easily extensible. We present a genome annotation system for prokaryote genomes, which is well tested and readily adaptable to different tasks. The modular system was developed using an object-oriented approach, and it relies on a relational database backend. Using a well defined application programmers interface (API), the system can be linked easily to other systems. GenDB supports manual as well as automatic annotation strategies. The software currently is in use in more than a dozen microbial genome annotation projects. In addition to its use as a production genome annotation system, it can be employed as a flexible framework for the large-scale evaluation of different annotation strategies. The system is open source.

Amino Acid Sequence↗
PubMed2005

The expanding world of small RNAs in the hyperthermophilic archaeon Sulfolobus solfataricus.

Archaeal L7Ae is a multifunctional protein that binds to a distinctive K-turn motif in RNA and is found as a component in the large subunit of the ribosome, and in ribose methylation and pseudouridylation guide RNP particles. A collection of L7Ae-associated small RNAs were isolated from Sulfolobus solfataricus cell extracts and used to construct a cDNA library; 45 distinct cDNA sequences were characterized and divided into six groups. Group 1 contained six RNAs that exhibited the features characteristic of the canonical C/D box archaeal sRNAs, two RNAs that were atypical C/D box sRNAs and one RNA representative of archaeal H/ACA sRNA family. Group 2 contained 13 sense strand RNA sequences that were encoded either within, or overlapping annotated open reading frames (ORFs). Group 3 contained three sequences form intergenic regions. Group 4 contained antisense sequences from within or overlapping sense strand ORFs or antisense sequences to C/D box sRNAs. More than two-thirds of these sequences possessed K-turn motifs. Group 5 contained two sequences corresponding to internal regions of 7S RNA. Group 6 consisted of 11 sequences that were fragments from the 5' or 3' ends of 16S and 23S ribosomal RNA and from seven different tRNAs. Our data suggest that S. solfataricus contains a plethora of small RNAs. Most of these are bound directly by the L7Ae protein; the others may well be part of larger, transiently stable RNP complexes that contain the L7Ae protein as core component.

Base Sequence↗
PubMed2026

ceRNA network of lncRNAs and mRNAs in OSF-to-OSCC progression: Diagnostic biomarkers and functional pathways.

BACKGROUND: Oral submucous fibrosis (OSF) is a chronic potentially malignant disorder that can progress to oral squamous cell carcinoma (OSCC). Although dysregulated non-coding RNAs have been implicated in oral carcinogenesis, the competing endogenous RNA (ceRNA)-mediated regulatory mechanisms underlying OSF-to-OSCC progression remain poorly understood. This study aimed to identify candidate regulatory molecules and construct a putative lncRNA-miRNA-mRNA network associated with malignant transformation. METHODS: Publicly available microarray datasets (GSE117973 and GSE125866) were analyzed to identify differentially expressed genes between OSF and OSCC. Differentially expressed transcripts were classified into mRNAs and lncRNAs based on public transcript annotations. Highly correlated lncRNA-mRNA pairs were identified using Pearson correlation analysis and integrated with multiMiR-supported miRNA-mRNA interactions obtained from public databases to construct a putative ceRNA regulatory network. Functional characterization focused on apoptosis, epithelial-mesenchymal transition (EMT), and immune checkpoint-related pathways. Receiver operating characteristic (ROC) analysis was performed to evaluate diagnostic performance, and selected biomarkers were externally validated using The Cancer Genome Atlas (TCGA) OSCC cohort. RESULTS: Integrated transcriptomic analysis identified several dysregulated mRNAs and lncRNAs associated with OSF-to-OSCC progression. Network analysis highlighted TBC1D3B, RREB1, TEAD3, SREBF1, TMEM41B, FOXK2, and KIAA1958 as prominent hub genes within the putative regulatory network. Functional analyses demonstrated significant associations with apoptosis-, EMT-, and immune checkpoint-related genes, suggesting potential involvement in multiple biological processes contributing to malignant transformation. Several hub genes exhibited strong diagnostic performance, with ROC analysis yielding AUC values ranging from 0.891 to 1.000, indicating excellent discrimination between OSF and OSCC samples. External validation using TCGA further supported the relevance of the identified biomarkers in OSCC. CONCLUSIONS: This study provides a comprehensive transcriptomic framework describing putative lncRNA-miRNA-mRNA regulatory interactions associated with OSF progression to OSCC. The identified hub genes and regulatory networks represent candidate biomarkers for early detection and provide a foundation for future mechanistic and experimental validation. As the proposed ceRNA interactions are computationally inferred, further biological validation is required before clinical application.

RNA, Long Noncoding↗