PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Bioinformatics analysis”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,801 records · Page 100Linked to original sources
PubMed2006

Subcellular localization of CIAPIN1.

Cytokine-induced apoptosis inhibitor 1 (CIAPIN1) is a newly identified anti-apoptotic molecule. Our previous studies have demonstrated that CIAPIN1 is ubiquitously expressed in normal fetal and adult human tissues and confers multidrug resistance in gastric cancer cells, possibly by upregulating the expression of multidrug resistance gene 1 and multidrug resistance-related protein 1. However, fundamental biological functions of CIAPIN1 have not been elucidated. In this study, we first predicted the subcellular localization of CIAPIN1 with bioinformatic approaches and then characterized the intracellular localization of CIAPIN1 in both human and mouse cells by a combination of techniques including (a)immunohistochemistry and immunofluorescence, (b) His-tagged CIAPIN1 expression, and (c)subcellular fractionation and analysis of CIAPIN1 in the fractions by Western blotting. All methods produced consistent results; CIAPIN1 was localized in both the cytoplasm and the nucleus and was accumulated in the nucleolus. Bioinformatic prediction disclosed a putative nuclear localization signal and a putative nuclear export signal within both human and mouse CIAPIN1. These findings suggest that CIAPIN1 may undergo a cytoplasm-nucleus-nucleolus translocation.

Animals↗
PubMed2001

Bioinformatics for rice resources.

The distinguishing feature of the 'new biology' is that it is information intensive. Not only does it demand access to and assimilation of vast data sets accumulated by engineered laboratory processes, but it also demands a previously unimaginable level of data integration across data types and sources. There are various information resources available for rice. In addition, there are various information resources that are not focused on rice but that contain rice data. The challenge for rice researchers and breeders is to access this wealth of data meaningfully. This challenge will grow significantly as international efforts aimed at sequencing the entire rice genome come into full swing. Only through concerted efforts in bioinformatics will the power of these public data be brought to bear on the needs of rice researchers and breeders worldwide. These efforts will need to focus on two large but distinct areas: (1) development of an effective bioinformatics infrastructure (hardware systems, software systems, and software engineers and support staff) and (2) computational biology research in visualization and analysis of very large, complex data sets, such as those that will be developed using high-throughput expression technologies, large-scale insertional mutagenesis, and biochemical profiling of various types. In the midst of the large flow of high-throughput data that the international rice genome sequencing efforts will produce, it is also imperative that integration of those data with unique germplasm data held in trust by the CGIAR be a part of the informatics infrastructure. This paper will focus on the state of rice information resources, the needs of the rice community, and some proposed bioinformatics activities to support these needs.

Algorithms↗
PubMed2005

Identifying sigma factors in Mycobacterium smegmatis by comparative genomic analysis.

Mycobacterium smegmatis is a saprophytic species that has been used for 15 years as a model to perform heterologous regulation and virulence studies of Mycobacterium tuberculosis. Members of the extracytoplasmic sigma factors family, which are required for adaptive responses to various environmental stresses, are responsible for some of the virulence traits of M. tuberculosis. A bioinformatic search on the genome of M. smegmatis has predicted the existence of 26 sigma factors, which is twice the number that are present in M. tuberculosis. A phylogenetic analysis has shown that despite this high number of sigma factors the orthologs of the genes sigC, sigI and sigK of M. tuberculosis are absent in the M. smegmatis genome. Several sigma factors are specific for M. smegmatis, with a special enrichment in the sigH and, to a lesser extent, in the sigJ and sigL subfamily, pinpointing the potential variability of the repertoire of adaptive response in this saprophytic species.

Adaptation, Physiological↗
PubMed2004

The olfactory receptor universe--from whole genome analysis to structure and evolution.

Olfactory receptors (ORs) constitute the largest gene-family in the vertebrate genome. We have attempted to provide a comprehensive view of the OR universe through diverse tools of bioinformatics and computational biology. Among others, we have constructed the Human Olfactory Receptor Data Exploratorium (HORDE, http://bioportal.weizmann.ac.il/HORDE/) as a free online resource, which integrates information on ORs from different species. We studied the genomic organization of 853 human ORs and divided the repertoire into 135 clusters, accessible through our new cluster viewer feature. An analysis of intact and pseudogenized ORs in different clusters, as well as of OR expression patterns, is provided, relevant to OR transcription control. Coding single nucleotide polymorphisms were integrated; these are to be used for genotype-phenotype correlation studies. HORDE allows a unique opportunity for discerning protein structural and functional information of the individual OR proteins. By applying novel data analysis strategies to the >3000 OR genes of mouse, dog and human within HORDE, we have generated a set of refined rhodopsin-based homology models for ORs. For model improvement, we employed a novel analysis of specific positions along the seven transmembrane helices at which prolines generate helix-breaking kinks. The model shows family-specific structural features, including idiosyncratic kink patterns, which lead to significant differences in the inferred odorant binding site structure. Such analyses form a basis for a comprehensive sequence-based classification of OR proteins in terms of potential odorant binding specificities.

Amino Acid Sequence↗
PubMed2006

Discovery, cloning and heterologous expression of secreted potato proteins reveal erroneous pre-mRNA splicing in Aspergillus oryzae.

A novel transposon assisted signal trapping (TAST) technology, developed to specifically select only the secreted proteins, was used to discover novel extracellular plant proteins from Solarium tuberosum infected with Phytophthora infestans. Analysis of 384 hits provided 191 P. infestans and S. tuberosum sequences of secreted proteins, with an approx. 2/3 of these originating from potato. Subsequent screening for interesting genes was carried out using bioinformatics. A selected variety of the discovered sequences are presented, including a novel S. tuberosum xyloglucan endotransglucosylase (StXTH), which was cloned and subjected to detailed heterologous expression studies in Aspergillus oryzae. RT-PCR analysis of mRNA from A. oryzae StXTH1 transformants revealed that parts of the mRNA pool had been incorrectly processed, and only weak and inconsistent indications of active protein could be detected. A high AT content of StXTH1 and the occurrence of A. oryzae intron donor, acceptor, and branch point recognition sites resulted in erroneous intron interpretation (cryptic introns) of parts of the mRNA coding sequence. This may explain the difficulties generally experienced in expressing plant genes in filamentous fungi.

Aspergillus oryzae↗
PubMed2006

Biological systems modeling and analysis: a biomolecular technique of the twenty-first century.

It is proposed that computational systems biology should be considered a biomolecular technique of the twenty-first century, because it complements experimental biology and bioinformatics in unique ways that will eventually lead to insights and a depth of understanding not achievable without systems approaches. This article begins with a summary of traditional and novel modeling techniques. In the second part, it proposes concept map modeling as a useful link between experimental biology and biological systems modeling and analysis. Concept map modeling requires the collaboration between biologist and modeler. The biologist designs a regulated connectivity diagram of processes comprising a biological system and also provides semi-quantitative information on stimuli and measured or expected responses of the system. The modeler converts this information through methods of forward and inverse modeling into a mathematical construct that can be used for simulations and to generate and test new hypotheses. The biologist and the modeler collaboratively interpret the results and devise improved concept maps. The third part of the article describes software, BST-Box, supporting the various modeling activities.

Computational Biology↗
PubMed2005

The inference of protein-protein interactions by co-evolutionary analysis is improved by excluding the information about the phylogenetic relationships.

MOTIVATION: The prediction of protein-protein interactions is currently an important issue in bioinformatics. The mirror tree method uses evolutionary information to predict protein-protein interactions. However, it has been recognized that predictions by the mirror tree method lead to many false positives. The incentive of our study was to solve this problem by improving the method of extracting the co-evolutionary information regarding the protein pairs. RESULTS: We developed a novel method to predict protein-protein interactions from co-evolutionary information in the framework of the mirror tree method. The originality is the use of the projection operator to exclude the information about the phylogenetic relationships among the source organisms from the distance matrix. Each distance matrix was transformed into a vector for the operation. The vector is referred to as a 'phylogenetic vector'. We have proposed three ways to extract the phylogenetic information: (1) using the 16S rRNA from the same source organisms as the proteins under consideration, (2) averaging the phylogenetic vectors and (3) analyzing the principal components of the phylogenetic vectors. We examined the performance of the proposed methods to predict interacting protein pairs from Escherichia coli, using experimentally verified data. Our method was successful, and it drastically reduced the number of false positives in the prediction. AVAILABILITY: The R script for the prediction of protein-protein interactions reported in this manuscript is available at http://timpani.genome.ad.jp/~proj/ CONTACT: sato@kuicr.kyoto-u.ac.jp SUPPLEMENTARY INFORMATION: The information is also available at the same site as the R script.

Algorithms↗
PubMed2003

Peptide libraries: at the crossroads of proteomics and bioinformatics.

Peptide libraries offer a valuable means for providing functional information regarding protein-modifying enzymes and protein interaction domains. Library approaches have become increasingly useful as high-throughput strategies for the analysis of large numbers of new proteins identified as a result of genome-sequencing efforts. Recent developments in the field have produced faster methods with broadened applicability. Crucially, new computational and biochemical tools have emerged that facilitate identification of interaction partners and substrates for proteins on the basis of their peptide selectivity profiles. Such combinations of proteomics-scale experimental approaches with bioinformatics tools hold great promise for the elucidation of protein interaction networks and signal transduction pathways in living cells.

Computational Biology↗
PubMed2002

Genome-wide distribution and potential regulatory functions of AtATE, a novel family of miniature inverted-repeat transposable elements in Arabidopsis thaliana.

A study of transgenic promoter::beta-glucuronidase lines showed that the promoters of the two Arabidopsis ARGININE DECARBOXYLASE paralogues, ADC1 and ADC2, exhibited extremely different patterns of activity. One major feature of the promoter of ADC1 was the presence of a novel transposable element, which was shown to possess all of the characteristics of Miniature Inverted-repeat Transposable Elements (MITEs), and to be present in 26 full-length copies and 1617 partial copies and fragments distributed throughout the Arabidopsis genome. TRANSFAC analysis showed that this transposable element possesses a significant number of transcription-factor binding motifs. A bioinformatics approach based on a suffix-tree compilation was used to obtain an exhaustive description of exact copy numbers and positions of the element in the Arabidopsis genome. The distribution among the chromosomes was non-random, and a significant number of copies were found in regions flanking genes. Full-length copies of the transposable element were detected in the immediate vicinity of 22 genes, either upstream or downstream.

Arabidopsis↗
PubMed2005

Variation and evolution of biomolecular systems: searching for functional relevance.

The availability of genome sequences and functional genomics data from multiple species enables us to compare the composition of biomolecular systems like biochemical pathways and protein complexes between species. Here, we review small- and large-scale, "genomics-based" approaches to biomolecular systems variation. In general, caution is required when comparing the results of bioinformatics analyses of genomes or of functional genomics data between species. Limitations to the sensitivity of sequence analysis tools and the noisy nature of genomics data tend to lead to systematic overestimates of the amount of variation. Nevertheless, the results from detailed manual analyses, and of large-scale analyses that filter out systematic biases, point to a large amount of variation in the composition of biomolecular systems. Such observations challenge our understanding of the function of the systems and their individual components and can potentially facilitate the identification and functional characterization of sub-systems within a system. Mapping the inter-species variation of complex biomolecular systems on a phylogenetic species tree allows one to reconstruct their evolution.

Evolution, Molecular↗
PubMed2006

Unraveling the 'DEAD-box' helicases of Plasmodium falciparum.

The causative agent for the most fatal form of malaria, Plasmodium falciparum, has developed insecticide and drug resistance with time. Therefore combating this disease is becoming increasingly difficult and this calls for finding alternate ways to control malaria. One of the feasible ways could be to find out inhibitors/drugs specific for the indispensable enzymes of malaria parasite such as helicases. These helicases, which contain intrinsic nucleic acid-dependent ATPase activity, are capable of enzymatically unwinding energetically stable duplex nucleic acids into single-stranded templates and are required for all the nucleic acid transactions. Most of the helicases contain a set of nine extremely conserved amino acid sequences, which are called 'helicase motifs'. Due to the presence of the DEAD (Asp-Glu-Ala-Asp) in one of the conserved motifs, this family is also known as the 'DEAD-box' family. In this review, using bioinformatic approach, we describe the 'DEAD-box' helicases of malaria parasite P. falciparum. An in depth analysis shows that the parasite contains 22 full-length genes, some of which are homologues of well-characterized helicases of this family from other organisms. Recently we have cloned and characterized the first member of this family, which is a homologue of p68 and is expressed during the schizont stage of the development of the parasite [Pradhan, A., Chauhan, V.S., Tuteja, R., 2005a. A novel 'DEAD-box' DNA helicase from Plasmodium falciparum is homologous to p68. Mol. Biochem. Parasitol. 140, 55-60.; Pradhan A., Chauhan V.S., Tuteja R., 2005b. Plasmodium falciparum DNA helicase 60 is a schizont stage specific, bipolar and dual helicase stimulated by PKC phosphorylation. Mol. Biochem. Parasitol. 144, 133-141.]. It will be really interesting to clone and characterize other members of the 'DEAD-box' family and understand their role in the replication and transmission of the parasite. These detailed studies may help to identify a parasite-specific enzyme, which could be a potential drug target to treat malaria. The various steps at which this probable drug can act are also discussed.

Animals↗
PubMed2025

Dissemination of antimicrobial resistance in Klebsiella spp. from urban aquatic environments: a multi-country genomic perspective.

INTRODUCTION: Antibiotic resistance, particularly carbapenem-resistant Klebsiella pneumoniae (CRKP), poses significant clinical and environmental threats, especially in urban aquatic ecosystems and hospital wastewaters. OBJECTIVES: This study aims to analyze the epidemiological and genomic features of CRKP isolates in urban aquatic environments and evaluate their public health and environmental impacts. METHODS AND RESULTS: Water samples were collected from 113 rivers and 3 hospitals in China, Sri Lanka, and Nepal to isolate carbapenem-resistant Klebsiella spp. isolates. Antimicrobial susceptibility testing, whole-genome sequencing, and bioinformatics analyses were performed to characterize resistance phenotypes, antibiotic resistance genes (ARGs), and evolutionary trends. Big data analysis further elucidated the genomic characteristics of CRKP in global water sources, and Galleria mellonella larvae were used to assess virulence. Statistical analysis validated the findings. A total of 192 carbapenem-resistant Klebsiella spp. isolates were identified from urban aquatic ecosystems in China (n = 60) and Nepal (n = 132), with CRKP (n = 161) being the predominant species. All CRKP isolates exhibited a multidrug-resistant phenotype, yet significant differences in resistance profiles and associated ARGs were observed between isolates from the two countries. Nine carbapenem resistance genes (CRGs) were detected, with blaNDM-1 being the most prevalent (57.8 %). Correlation analysis revealed a strong association between these CRGs and multiple Inc-type plasmids. Global genomic analysis of CRKP from water sources across eight countries identified ten distinct CRGs across 45 serotypes, with KL64 being the most predominant. Notably, carbapenem-resistant hypervirulent Klebsiella pneumoniae was detected in water samples from Nepal. CONCLUSION: Our findings highlight significant regional disparities in CRKP prevalence and ARG dissemination across urban aquatic environments, with Nepal showing the highest prevalence, particularly in untreated rivers. China exhibited lower prevalence but distinct resistance gene profiles, while no CRKP was detected in Sri Lanka, underscoring the impact of environmental management and healthcare infrastructure on ARG spread.

Humans↗
PubMed2026

DfCAD16 controls guaiacyl lignin biosynthesis during shoot development in Dendrocalamus farinosus.

Although bamboo can be an ideal raw material for pulp and paper industry, the depolymerization of its complex polymers needs to be facilitated. The deposition of lignin is influenced by cinnamyl alcohol dehydrogenase (CAD), an enzyme that catalyzes the formation of monolignol precursors. Here, we identified 18 DfCAD genes in Dendrocalamus farinosus and revealed using bioinformatics methods, DfCAD16 functions as the primary enzyme in the synthesis pathway of guaiacyl (G)-lignin. Phenotypic analysis of plants overexpression DfCAD16 exhibited remarkable increasing in G-lignin. Furthermore, we demonstrated that an R2R3-type MYB transcription factor DfMYB12 could directly bind to the promoter region of DfCAD16 and activate its expression both in vitro and in vivo. Our findings revealed that DfMYB12-DfCAD16 is a key regulatory factor governing G-lignin biosynthesis in D. farinosus. These insights can be used for improving bamboo varieties for pulp production.

Lignin↗
PubMed2003

And then there were many: MADS goes genomic.

During the past decade, MADS-box genes have become known as key regulators in both reproductive and vegetative plant development. Traditional genetics and functional genomics tools are now available to elucidate the expression and function of this complex gene family on a much larger scale. Moreover, comparative analysis of the MADS-box genes in diverse flowering and non-flowering plants, boosted by bioinformatics, contributes to our understanding of how this important gene family has expanded during the evolution of land plants. Therefore, the recent advances in comparative and functional genomics should enable researchers to identify the full range of MADS-box gene functions, which should help us significantly in developing a better understanding of plant development and evolution.

Evolution, Molecular↗
PubMed2001

Mining literature for protein-protein interactions.

MOTIVATION: A central problem in bioinformatics is how to capture information from the vast current scientific literature in a form suitable for analysis by computer. We address the special case of information on protein-protein interactions, and show that the frequencies of words in Medline abstracts can be used to determine whether or not a given paper discusses protein-protein interactions. For those papers determined to discuss this topic, the relevant information can be captured for the Database of Interacting PROTEINS: Furthermore, suitable gene annotations can also be captured. RESULTS: Our Bayesian approach scores Medline abstracts for probability of discussing the topic of interest according to the frequencies of discriminating words found in the abstract. More than 80 discriminating words (e.g. complex, interaction, two-hybrid) were determined from a training set of 260 Medline abstracts corresponding to previously validated entries in the Database of Interacting Proteins. Using these words and a log likelihood scoring function, approximately 2000 Medline abstracts were identified as describing interactions between yeast proteins. This approach now forms the basis for the rapid expansion of the Database of Interacting Proteins.

Algorithms↗
PubMed2002

OrthoGUI: graphical presentation of Orthostrapper results.

SUMMARY: Orthostrapper is a program that calculates orthology support values for pairs of sequences in a multiple alignment (Storm and Sonnhammer, Bioinformatics, 18, 92-99, 2002). Here we present OrthoGUI, a web interface and display tool for Orthostrapper analysis. OrthoGUI visualizes the Orthostrapper output in both tabular and tree representations, and can also apply a clustering algorithm to identify groups of multiple orthologs, which are indicated by colour coding. AVAILABILITY: http://www.cgb.ki.se/OrthoGUI CONTACT: erik.sonnhammer@cgb.ki.se

ATP-Binding Cassette Transporters↗
PubMed2000

Prospective use of DNA microarrays for evaluating renal function and disease.

At the forefront of the revolution in human genomics is DNA microarray technology, which evaluates expression levels or genotypes of thousands of genes simultaneously, by means of miniaturization and parallel processing. Furthermore, advances in bioinformatics will result in the creation of large databases, which will require complex software programming for structural analysis. Over the next decade, DNA microarrays, combined with sophisticated informatics and genomic databases, will provide molecular fingerprints of disease processes and prognoses. This review provides an update on DNA microarray technology and its application to renal diseases.

DNA↗

Refine your search to explore more results.