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At least 811 records · Page 45Linked to original sources
PubMed2004

A protein interaction network links GIT1, an enhancer of huntingtin aggregation, to Huntington's disease.

Analysis of protein-protein interactions (PPIs) is a valuable approach for characterizing proteins of unknown function. Here, we have developed a strategy combining library and matrix yeast two-hybrid screens to generate a highly connected PPI network for Huntington's disease (HD). The network contains 186 PPIs among 35 bait and 51 prey proteins. It revealed 165 new potential interactions, 32 of which were confirmed by independent binding experiments. The network also permitted the functional annotation of 16 uncharacterized proteins and facilitated the discovery of GIT1, a G protein-coupled receptor kinase-interacting protein, which enhances huntingtin aggregation by recruitment of the protein into membranous vesicles. Coimmunoprecipitations and immunofluorescence studies revealed that GIT1 and huntingtin associate in mammalian cells under physiological conditions. Moreover, GIT1 localizes to neuronal inclusions, and is selectively cleaved in HD brains, indicating that its distribution and function is altered during disease pathogenesis.

Adaptor Proteins, Signal Transducing↗
PubMed2026

Ovarian expression and function of neuropeptide systems in teleosts and anurans.

The hypothalamic-pituitary-gonadal axis regulates reproduction, sexual maturation, and spawning behaviours. Its evolutionary origins trace back to primitive jawless fish and has been well characterized in teleosts. Recent advances in multi-species genome sequencing, annotation, and experimental approaches for identifying and characterizing key regulators have advanced understanding of neuroendocrine regulation in teleost reproduction, reshaping existing models. Early studies in amphibians established that steroids are critical regulators of final oocyte maturation. Subsequent work in anurans revealed complex interactions among theca cells, follicular cells, and oocytes, supporting a three-cell model in which oocytes contribute to their own steroidogenic environment, challenging the traditional two-cell view of ovarian steroidogenesis. In teleosts, however, direct evidence that oocytes support steroid precursor delivery to theca and follicular cells is limited, and whether a comparable three-cell model applies remains an open hypothesis. Across both taxa, the roles of locally produced neuropeptides in coordinating interactions among theca cells, follicular cells, and oocytes remain largely uncharacterized. Here, we provide a short review of the localization and potential autocrine/paracrine functions of neuropeptides in teleost and amphibian ovaries and discuss existing knowledge gaps. We identify opportunities to leverage detailed localization studies that map neuropeptides to specific ovarian cell types and developmental stages, and discuss how integrating traditional and emerging experimental approaches can advance comparative studies in ovarian endocrinology. This work will improve our understanding of reproductive regulation in fishes and frogs, with applications in captive breeding, aquaculture, and endocrine disruption research.

Autocrine↗
PubMed2004

Annotation of the pRhico plasmid of Azospirillum brasilense reveals its role in determining the outer surface composition.

The plant growth-promoting soil bacterium Azospirillum brasilense enhances growth of economically important crops, such as wheat, corn and rice. In order to improve plant growth, a close bacterial association with the plant roots is needed. Genes encoded on a 90-MDa plasmid, denoted pRhico plasmid, present in A. brasilense Sp7, play an important role in plant root interaction. Sequencing, annotation and in silico analysis of this 90-MDa plasmid revealed the presence of a large collection of genes encoding enzymes involved in surface polysaccharide biosynthesis. Analysis of the 90-MDa plasmid genome provided evidence for its essential role in the viability of the bacterial cell.

Azospirillum brasilense↗
PubMed2004

AUG codons at the beginning of protein coding sequences are frequent in eukaryotic mRNAs with a suboptimal start codon context.

MOTIVATION: The translation start site plays an important role in the control of translation efficiency of eukaryotic mRNAs. However, mRNAs with a suboptimal context of start AUG codon are relatively abundant. It is likely that at least some mRNAs with suboptimal start codon context contain the other signals providing additional information for efficient AUG recognition. RESULTS: Frequency of AUG codons at the beginning of the coding part of eukaryotic mRNAs was analyzed in relation to the context of translation start codon. It was found that the observed downstream AUG content in the mRNAs with optimal start codon context was close to the expected value, whereas it was significantly higher in the mRNAs with a suboptimal context. It is likely that downstream AUG codons can often be utilized as additional start sites to increase translation rate of mRNAs with a suboptimal context of the annotated start codon and many eukaryotic proteins can be characterized by some N-end heterogeneity.

Adenine↗
PubMed2006

The nature and dynamics of bacterial genomes.

Though generally small and gene rich, bacterial genomes are constantly subjected to both mutational and population-level processes that operate to increase amounts of functionless DNA. As a result, the coding potential of bacterial genomes can be substantially lower than originally predicted. Whereas only a single pseudogene was included in the original annotation of the bacterium Escherichia coli, we estimate that this genome harbors hundreds of inactivated and otherwise functionless genes. Such regions will never yield a detectable phenotype, but their identification is vital to efforts to elucidate the biological role of all the proteins within the cell.

Amino Acid Substitution↗
PubMed2006

Analysis of bacteria-challenged wild silkmoth, Antheraea mylitta (lepidoptera) transcriptome reveals potential immune genes.

BACKGROUND: In the recent years a strong resemblance has been observed between the insect immune system and the mammalian innate immune mechanisms suggesting their common origin. Among the insects, only the dipterans (Drosophila and various mosquito species) have been widely investigated for their immune responses towards diverse pathogens. In the present study we constructed and analysed the immune transcriptome of the lepidopteran Antheraea mylitta, an economically important Indian tasar silkmoth with a view to unravel the potential immune-related genes and pathways. RESULTS: An expressed sequence tag (EST) library was constructed from mRNA obtained from fat bodies of A. mylitta larvae that had been challenged by infection with Escherichia coli cells. We identified 719 unique ESTs from a total of 1412 sequences so generated. A third of the transcriptome showed similarity with previously characterized immune-related genes that included both the known and putative immune genes. Of the four putative novel defence proteins (DFPs) annotated by PSI-BLAST three showed similarity to extracellular matrix proteins from vertebrates implicated in innate immunity, while the fourth was similar to, yet distinct from, the anti-microbial protein cecropin. Finally, we analysed the expression profiles of 15 potential immune-related genes, and the majority of them were induced more prominently with E. coli compared to Micrococcus luteus. We also identified several unknown proteins, some of which could have probable immune-related functions based on the results of the ProDom analysis. CONCLUSION: The present study has identified many potential immune-related genes in A. mylitta some of which are vertebrate homologues and others are hitherto unreported putative defence proteins. Several genes were present as members of gene families, as has also been observed in other insect species.

Amino Acid Sequence↗
PubMedDate not supplied

The human biological resource centres network. A key infrastructure for biomedical research in Europe.

Continuing advances in life sciences and medical research are the result of the remarkable achievements of cell and molecular biology. In the post-sequencing era, the quality of the huge amount of data continuously generated by biotechnology, i.e. genomics, proteomics and high-throughput screening, depends on the quality assurance and the traceability of the original biological materials, including the annotations linked to these materials. Thus, biological resource centres are key infrastructures supporting biotechnology, bioprocessing and the development of new approaches in the prevention, diagnosis and treatment of diseases.

Biomedical Research↗
PubMed2005

I-superfamily conotoxins: sequence and structure analysis.

I-superfamily conotoxins have four-disulfide bonds with cysteine arrangement C-C-CC-CC-C-C, and they inhibit or modify ion channels of nerve cells. They have been characterized only recently and are relatively less well studied compared to other superfamily conotoxins. We have detected selective and sensitive sequence pattern for I-superfamily conotoxins. The availability of sequence pattern should be useful in protein family classification and functional annotation. We have built by homology modeling, a theoretical structural 3D model of ViTx from Conus virgo, a typical member of I-superfamily conotoxins. The modeling was based on the available 3D structure of Janus-atracotoxin-Hv1c of Janus-atracotoxin family whose members have been suggested as possible biopesticides. A study comparing the theoretically modeled structure of ViTx, with experimentally determined structures of other toxins, which share functional similarity with ViTx, reveals the crucial role of C-terminal region of ViTx in blocking therapeutically important voltage-gated potassium channels.

Amino Acid Sequence↗
PubMed2006

Identification and validation of oncogenes in liver cancer using an integrative oncogenomic approach.

The heterogeneity and instability of human tumors hamper straightforward identification of cancer-causing mutations through genomic approaches alone. Herein we describe a mouse model of liver cancer initiated from progenitor cells harboring defined cancer-predisposing lesions. Genome-wide analyses of tumors in this mouse model and in human hepatocellular carcinomas revealed a recurrent amplification at mouse chromosome 9qA1, the syntenic region of human chromosome 11q22. Gene-expression analyses delineated cIAP1, a known inhibitor of apoptosis, and Yap, a transcription factor, as candidate oncogenes in the amplicon. In the genetic context of their amplification, both cIAP1 and Yap accelerated tumorigenesis and were required to sustain rapid growth of amplicon-containing tumors. Furthermore, cIAP1 and Yap cooperated to promote tumorigenesis. Our results establish a tractable model of liver cancer, identify two oncogenes that cooperate by virtue of their coamplification in the same genomic locus, and suggest an efficient strategy for the annotation of human cancer genes.

Adaptor Proteins, Signal Transducing↗
PubMed2004

Are data from different gene expression microarray platforms comparable?

Many commercial and custom-made microarray formats are routinely used for large-scale gene expression surveys. Here, we sought to determine the level of concordance between microarray platforms by analyzing breast cancer cell lines with in situ synthesized oligonucleotide arrays (Affymetrix HG-U95v2), commercial cDNA microarrays (Agilent Human 1 cDNA), and custom-made cDNA microarrays from a sequence-validated 13K cDNA library. Gene expression data from the commercial platforms showed good correlations across the experiments (r = 0.78-0.86), whereas the correlations between the custom-made and either of the two commercial platforms were lower (r = 0.62-0.76). Discrepant findings were due to clone errors on the custom-made microarrays, old annotations, or unknown causes. Even within platform, there can be several ways to analyze data that may influence the correlation between platforms. Our results indicate that combining data from different microarray platforms is not straightforward. Variability of the data represents a challenge for developing future diagnostic applications of microarrays.

Cell Line, Tumor↗
PubMed2004

Leiomyoma and myometrial gene expression profiles and their responses to gonadotropin-releasing hormone analog therapy.

Gene microarray was used to characterize the molecular environment of leiomyoma and matched myometrium during growth and in response to GnRH analog (GnRHa) therapy as well as GnRHa direct action on primary cultures of leiomyoma and myometrial smooth muscle cells (LSMC and MSMC). Unsupervised and supervised analysis of gene expression values and statistical analysis in R programming with a false discovery rate of P < or = 0.02 resulted in identification of 153 and 122 differentially expressed genes in leiomyoma and myometrium in untreated and GnRHa-treated cohorts, respectively. The expression of 170 and 164 genes was affected by GnRHa therapy in these tissues compared with their respective untreated group. GnRHa (0.1 microm), in a time-dependent manner (2, 6, and 12 h), targeted the expression of 281 genes (P < or = 0.005) in LSMC and MSMC, 48 of which genes were found in common with GnRHa-treated tissues. Functional annotations assigned these genes as key regulators of processes involving transcription, translational, signal transduction, structural activities, and apoptosis. We validated the expression of IL-11, early growth response 3, TGF-beta-induced factor, TGF-beta-inducible early gene response, CITED2 (cAMP response element binding protein-binding protein/p300-interacting transactivator with ED-rich tail), Nur77, growth arrest-specific 1, p27, p57, and G protein-coupled receptor kinase 5, representing cytokine, common transcription factors, cell cycle regulators, and signal transduction, at tissue levels and in LSMC and MSMC in response to GnRHa time-dependent action using real-time PCR, Western blotting, and immunohistochemistry. In conclusion, using different, complementary approaches, we characterized leiomyoma and myometrium molecular fingerprints and identified several previously unrecognized genes as targets of GnRHa action, implying that local expression and activation of these genes may represent features differentiating leiomyoma and myometrial environments during growth and GnRHa-induced regression.

Active Transport, Cell Nucleus↗
PubMed2000

Towards understanding the first genome sequence of a crenarchaeon by genome annotation using clusters of orthologous groups of proteins (COGs).

BACKGROUND: Standard archival sequence databases have not been designed as tools for genome annotation and are far from being optimal for this purpose. We used the database of Clusters of Orthologous Groups of proteins (COGs) to reannotate the genomes of two archaea, Aeropyrum pernix, the first member of the Crenarchaea to be sequenced, and Pyrococcus abyssi. RESULTS: A. pernix and P. abyssi proteins were assigned to COGs using the COGNITOR program; the results were verified on a case-by-case basis and augmented by additional database searches using the PSI-BLAST and TBLASTN programs. Functions were predicted for over 300 proteins from A. pernix, which could not be assigned a function using conventional methods with a conservative sequence similarity threshold, an approximately 50% increase compared to the original annotation. A. pernix shares most of the conserved core of proteins that were previously identified in the Euryarchaeota. Cluster analysis or distance matrix tree construction based on the co-occurrence of genomes in COGs showed that A. pernix forms a distinct group within the archaea, although grouping with the two species of Pyrococci, indicative of similar repertoires of conserved genes, was observed. No indication of a specific relationship between Crenarchaeota and eukaryotes was obtained in these analyses. Several proteins that are conserved in Euryarchaeota and most bacteria are unexpectedly missing in A. pernix, including the entire set of de novo purine biosynthesis enzymes, the GTPase FtsZ (a key component of the bacterial and euryarchaeal cell-division machinery), and the tRNA-specific pseudouridine synthase, previously considered universal. A. pernix is represented in 48 COGs that do not contain any euryarchaeal members. Many of these proteins are TCA cycle and electron transport chain enzymes, reflecting the aerobic lifestyle of A. pernix. CONCLUSIONS: Special-purpose databases organized on the basis of phylogenetic analysis and carefully curated with respect to known and predicted protein functions provide for a significant improvement in genome annotation. A differential genome display approach helps in a systematic investigation of common and distinct features of gene repertoires and in some cases reveals unexpected connections that may be indicative of functional similarities between phylogenetically distant organisms and of lateral gene exchange.

Archaea↗
PubMed2004

Computational BAC clone contig assembly for comprehensive genome analysis.

Comparative genomic hybridization (CGH) has proved to be a powerful tool for the detection of genome copy number changes in human cancers and in other diseases caused by segmental aneusomies. Array versions of CGH allow the definition of these aberrations, with resolution determined by the size and distribution of the array elements. Resolution approaching 100 kb can be achieved by use of arrays comprising bacterial artificial chromosomes (BACs) distributed contiguously across regions of interest. We describe here a computer program that automatically assembles contigs of minimally overlapping BAC clones, using information about BAC end-sequences and the normal genome DNA sequence. We demonstrate the characteristics of contigs assembled and annotated by use of this approach for regions of recurrent abnormality in human ovarian and breast cancers at chromosome bands 3q25-q27 and 8q24 and chromosome arm 20q. We also show illustrative analyses of regions of amplification in these regions in breast and ovarian tumor cell lines by use of array CGH with arrays comprising contiguous BACs.

Breast Neoplasms↗
PubMed2004

Proteogenomic mapping as a complementary method to perform genome annotation.

The accelerated rate of genomic sequencing has led to an abundance of completely sequenced genomes. Annotation of the open reading frames (ORFs) (i.e., gene prediction) in these genomes is an important task and is most often performed computationally based on features in the nucleic acid sequence. Using recent advances in proteomics, we set out to predict the set of ORFs for an organism based principally on expressed protein-based evidence. Using a novel search strategy, we mapped peptides detected in a whole-cell lysate of Mycoplasma pneumoniae onto a genomic scaffold and extended these "hits" into ORFs bound by traditional genetic signals to generate a "proteogenomic map". We were able to generate an ORF model for M. pneumoniae strain FH using proteomic data with a high correlation to models based on sequence features. Ultimately, we detected over 81% of the genomically predicted ORFs in M. pneumoniae strain M129 (the originally sequenced strain). We were also able to detect several new ORFs not originally predicted by genomic methods, various N-terminal extensions, and some evidence that would suggest that certain predicted ORFs are bogus. Some of these differences may be a result of the strain analyzed but demonstrate the robustness of protein analysis across closely related genomes. This technique is a cost-effective means to add value to genome annotation, and a prerequisite for proteome quantitation and in vivo interaction measures.

Chromosome Mapping↗
PubMed2006

Translational control genes in the sea urchin genome.

Sea urchin eggs and early cleavage stage embryos provide an example of regulated gene expression at the level of translation. The availability of the sea urchin genome offers the opportunity to investigate the "translational control" toolkit of this model system. The annotation of the genome reveals that most of the factors implicated in translational control are encoded by nonredundant genes in echinoderm, an advantage for future functional studies. In this paper, we focus on translation factors that have been shown or suggested to play crucial role in cell cycle and development of sea urchin embryos. Addressing the cap-binding translational control, three closely related eIF4E genes (class I, II, III) are present, whereas its repressor 4E-BP and its activator eIF4G are both encoded by one gene. Analysis of the class III eIF4E proteins in various phyla shows an echinoderm-specific amino acid substitution. Furthermore, an interaction site between eIF4G and poly(A)-binding protein is uncovered in the sea urchin eIF4G proteins and is conserved in metazoan evolution. In silico screening of the sea urchin genome has uncovered potential new regulators of eIF4E sharing the common eIF4E recognition motif. Taking together, these data provide new insights regarding the strong requirement of cap-dependent translation following fertilization. The genome analysis gives insights on the complexity of eEF1B structure and motifs of functional relevance, involved in the translational control of gene expression at the level of elongation. Finally, because deregulation of translation process can lead to diseases and tumor formation in humans, the sea urchin orthologs of human genes implicated in human diseases and signaling pathways regulating translation were also discussed.

Amino Acid Sequence↗
PubMed2004

Identification of Lhp1p-associated RNAs by microarray analysis in Saccharomyces cerevisiae reveals association with coding and noncoding RNAs.

La is a conserved eukaryotic RNA-binding protein best known for its role in the biogenesis of noncoding RNAs transcribed by RNA polymerase III. To broaden our understanding of the function of the La homologous protein (Lhp1) in Saccharomyces cerevisiae, we have taken a genomics approach. Lhp1 ribonucleoprotein complexes were immunoprecipitated and bound RNAs were examined by hybridization to whole-genome microarrays that include >6,000 ORFs, documented noncoding RNAs, and the intervening intergenic regions. Demonstrating the validity of this approach, associations with previously known Lhp1p-associated RNAs were detected and associations with additional noncoding RNAs, including multiple tRNAs and small nucleolar RNAs, were revealed. Indicating that this approach provides a robust method for discovering RNAs, the data also identify associations between Lhp1p and several intergenic regions, three of which encode the recently annotated putative snoRNAs: RUF1, RUF2, and RUF3. Unexpectedly, we find that Lhp1p is also associated with a subset of coding mRNAs. These mRNAs include many ribosomal protein transcripts as well as the mRNA encoding Hac1p, a transcription factor required during the unfolded protein stress response. In cells lacking LHP1, Hac1p levels are decreased 2- to 3-fold, whereas no changes are detected in the levels of spliced or unspliced HAC1 mRNA or in the stability of Hac1p. Finally, although LHP1 is dispensable for growth under standard conditions, we find that it is required when the unfolded protein response is induced at elevated temperatures. These results suggest that Lhp1p may play a novel role in the translation of one or more cellular mRNAs.

Oligonucleotide Array Sequence Analysis↗
PubMed2006

Interpretation of ANOVA models for microarray data using PCA.

MOTIVATION: ANOVA is a technique, which is frequently used in the analysis of microarray data, e.g. to assess the significance of treatment effects, and to select interesting genes based on P-values. However, it does not give information about what exactly is causing the effect. Our purpose is to improve the interpretation of the results from ANOVA on large microarray datasets, by applying PCA on the individual variance components. Interaction effects can be visualized by biplots, showing genes and variables in one plot, providing insight in the effect of e.g. treatment or time on gene expression. Because ANOVA has removed uninteresting sources of variance, the results are much more interpretable than without ANOVA. Moreover, the combination of ANOVA and PCA provides a simple way to select genes, based on the interactions of interest. RESULTS: It is shown that the components from an ANOVA model can be summarized and visualized with PCA, which improves the interpretability of the models. The method is applied to a real time-course gene expression dataset of mesenchymal stem cells. The dataset was designed to investigate the effect of different treatments on osteogenesis. The biplots generated with the algorithm give specific information about the effects of specific treatments on genes over time. These results are in agreement with the literature. The biological validation with GO annotation from the genes present in the selections shows that biologically relevant groups of genes are selected. AVAILABILITY: R code with the implementation of the method for this dataset is available from http://www.cac.science.ru.nl under the heading "Software".

Algorithms↗
PubMed1994

Overproduction and characterization of recombinant UDP-glucose pyrophosphorylase from Escherichia coli K-12.

Using oligonucleotide probes synthesized on the basis of partial amino acid sequences, we have cloned and sequenced the gene of Escherichia coli K-12 encoding UDP-glucose pyrophosphorylase. The gene consists of 906 base pairs and encodes a polypeptide of 302 amino acid residues with a calculated molecular weight of 32,941. Its nucleotide sequence was found to be identical with that recently registered (EMBL, X59940) for a gene coding for an unknown 33-kDa protein, which was later annotated as UDP-glucose pyrophosphorylase on the basis of genetic studies. The UDP-glucose pyrophosphorylase gene, mapped at 27.3 min in the E. coli chromosome, complemented the galU mutation, which renders the bacterium unable to ferment galactose. The recombinant enzyme overproduced in E. coli cells and purified to homogeneity catalyzed the synthesis and pyrophosphorolysis of UDP-glucose by a sequential mechanism. The enzyme required Mg2+ for maximal activity and was inhibited by free UTP and pyrophosphate. The E. coli enzyme shows significant sequence similarities with the enzymes from Acetobacter xylinum and Salmonella typhimurium. However, little or no similarity was found with the eukaryotic enzymes that are involved in the biosynthesis of storage carbohydrates, or with other enzymes acting on similar sugar nucleotides. Thus, UDP-glucose pyrophosphorylases participating in diverse metabolic pathways can be classified structurally into the prokaryotic and eukaryotic groups, even though they have almost identical catalytic properties.

Amino Acid Sequence↗