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Mantle cell lymphomas express a distinct genetic signature affecting lymphocyte trafficking and growth regulation as compared with subpopulations of normal human B cells.

Differential gene expression analysis, using high-density microarray chips, demonstrated 300-400 genes to be deregulated in mantle cell lymphomas (MCLs) compared with normal B-cell populations. To investigate the significance of this genetic signature in lymphoma etiology and diagnostics, we selected 90 annotated genes involved in a number of cellular functions for further analysis. Our findings demonstrated a normal gene expression of CCR7, which indicated a normal homing to primary follicles, which was in contrast to other receptors for B-cell trafficking, such as a significant down-regulation for CXCR5 and CCR6, as well as down-regulation of IL4R involved in differentiation. This indicated that the malignant transformation of a normal B cell could have appeared during the transition of a primary follicle to a germinal center, i.e., after an initial B-cell activation. Genes involved in blockage of antiproliferative signals in normal cells were also deregulated, e.g., gene expression of TGF beta 2 and Smad3 was suppressed in MCLs. Furthermore, lymphoproliferative signal pathways were active in MCLs compared with normal B cells, because genes encoding, e.g., IL10R alpha and IL18 were up-regulated, as were oncogenes like Bcl-2 and MERTK. Genes encoding receptors for different neurotransmitters mediating B-cell stimulation, such as norepinephrine and cannabinoids were also up-regulated, again illustrating deregulation of a complex network of genes involved in growth and differentiation. Furthermore, hierarchical cluster analysis revealed two subpopulations of MCLs, which indicates that despite the homogeneous and strong overexpression of cyclin D1, further subtyping might be possible.

Apoptosis↗

Distinct types of short open reading frames are translated in plant cells.

Genomes contain millions of short (<100 codons) open reading frames (sORFs), which are usually dismissed during gene annotation. Nevertheless, peptides encoded by such sORFs can play important biological roles, and their impact on cellular processes has long been underestimated. Here, we analyzed approximately 70,000 transcribed sORFs in the model plant Physcomitrella patens (moss). Several distinct classes of sORFs that differ in terms of their position on transcripts and the level of evolutionary conservation are present in the moss genome. Over 5000 sORFs were conserved in at least one of 10 plant species examined. Mass spectrometry analysis of proteomic and peptidomic data sets suggested that tens of sORFs located on distinct parts of mRNAs and long noncoding RNAs (lncRNAs) are translated, including conserved sORFs. Translational analysis of the sORFs and main ORFs at a single locus suggested the existence of genes that code for multiple proteins and peptides with tissue-specific expression. Functional analysis of four lncRNA-encoded peptides showed that sORFs-encoded peptides are involved in regulation of growth and differentiation in moss. Knocking out lncRNA-encoded peptides resulted in a decrease of moss growth. In contrast, the overexpression of these peptides resulted in a diverse range of phenotypic effects. Our results thus open new avenues for discovering novel, biologically active peptides in the plant kingdom.

Bryopsida↗

Overexpression of a novel small peptide ROTUNDIFOLIA4 decreases cell proliferation and alters leaf shape in Arabidopsis thaliana.

Leaf shape is determined by polar cell expansion and polar cell proliferation along the leaf axes. However, the genes controlling polar cell proliferation during leaf morphogenesis are largely unknown. We identified a dominant mutant of Arabidopsis thaliana, rotundifolia4-1D (rot4-1D), which possessed short leaves and floral organs. We showed that the altered leaf shape is caused by reduced cell proliferation, specifically in the longitudinal (proximal-distal) axis of the leaf, suggesting that the ROT4 gene controls polar cell proliferation in lateral organs. The ROT4 open-reading frame (ORF) encodes a novel small peptide that had not been identified in the Arabidopsis genome annotation. Overexpression of a ROT4-green fluorescence protein (GFP) fusion protein in transgenic plants recapitulated the rot4 phenotype, suggesting that ROT4 acts to restrict cell proliferation. The ROT4-GFP fusion protein localized to the plasma membrane when expressed in transgenic Arabidopsis plants. Phylogenetic analysis indicates that ROT4 defines a novel seed plant-specific family of small peptides with 22 members in Arabidopsis, ROT FOUR LIKE1-22 (RTFL1-22). All RTFL members share a conserved 29-amino acid domain, the RTF domain, and overexpression of the ROT4 RTF domain alone is sufficient to confer a rot4-1D phenotype. Loss-of-function mutations in several RTFL genes were aphenotypic, suggesting that there may be some functional redundancy between family members. Analyses by reverse transcription-polymerase chain reaction (RT-PCR) and in situ hybridization revealed that ROT4 is expressed in the shoot apex and young leaves of wild-type plants, consistent with a role for ROT4 in controlling polarity-dependent cell proliferation during wild-type leaf morphogenesis.

Amino Acid Sequence↗

Ribo-ITP enables identification of translons from limited input samples.

In the last decade, an unexpectedly large number of translated regions (translons) have been discovered using ribosome profiling and proteomics. Translons can act as regulatory elements or encode functional micropeptides. However, identification of translons has been limited to cell lines or large organs due to high input requirements for conventional ribosome profiling and mass spectrometry. Here, we address this input limitation using Ribo-ITP on difficult-to-collect samples such as microdissected hippocampal tissues and single preimplantation embryos to identify thousands of translons. To test the translational capacity of the identified translons, we engineer a translon-dependent GFP reporter system and detect expression of translons initiating at ATG and near-cognate start codons in mouse embryonic stem cells (mESCs). We identify distinct expression patterns of translons using a comparative analysis of more than a thousand ribosome profiling datasets across a wide range of cell types. Further, using a machine learning model, we predict that specific upstream translons in synaptically enriched mRNAs regulate translation efficiency of the annotated coding region. Taken together, we present a proof-of-concept study to identify non-canonical translation events from low input samples which can be applied to cell and tissue types inaccessible to conventional methods.

Animals↗

Control of SXT integration and excision.

The Vibrio cholerae SXT element is a conjugative self-transmissible chromosomally integrating element that encodes resistance to multiple antibiotics. SXT integrates in a site-specific fashion at prfC and excises from the chromosome to form a circular but nonreplicative extrachromosomal form. Both chromosomal integration and excision depend on an SXT-encoded recombinase, Int. Here we found that Int is necessary and sufficient for SXT integration and that int expression in recipient cells requires the SXT activators SetC and SetD. Although no xis-like gene was annotated in the SXT genome, Int was not sufficient to mediate efficient SXT chromosomal excision. We identified a novel SXT Xis that seems to function as a recombination directionality factor (RDF), facilitating SXT excision and inhibiting SXT integration. Although unrelated to any previously characterized RDF, Xis is similar to five hypothetical proteins that together may constitute a new family of RDFs. Using real-time quantitative PCR assays to study SXT excision from the chromosome, we determined that while SXT excision is required for SXT transfer, the percentage of cells containing an excised circular SXT does not appear to be a major factor limiting SXT transfer; i.e., we found that most cells harboring an excised circular SXT molecule do not act as SXT donors. In the absence of prfC, SXT integrated into several secondary attachment sites but preferentially into the 5' end of pntB. SXT excision and transfer from a donor containing pntB::SXT were reduced, suggesting that the SXT integration site may also influence the element's transmissibility.

Amino Acid Sequence↗

Transcriptomal profiling of the cellular transformation induced by Rho subfamily GTPases.

We have used microarray technology to identify the transcriptional targets of Rho subfamily guanosine 5'-triphosphate (GTP)ases in NIH3T3 cells. This analysis indicated that murine fibroblasts transformed by these proteins show similar transcriptomal profiles. Functional annotation of the regulated genes indicate that Rho subfamily GTPases target a wide spectrum of functions, although loci encoding proteins linked to proliferation and DNA synthesis/transcription are upregulated preferentially. Rho proteins promote four main networks of interacting proteins nucleated around E2F, c-Jun, c-Myc and p53. Of those, E2F, c-Jun and c-Myc are essential for the maintenance of cell transformation. Inhibition of Rock, one of the main Rho GTPase targets, leads to small changes in the transcriptome of Rho-transformed cells. Rock inhibition decreases c-myc gene expression without affecting the E2F and c-Jun pathways. Loss-of-function studies demonstrate that c-Myc is important for the blockage of cell-contact inhibition rather than for promoting the proliferation of Rho-transformed cells. However, c-Myc overexpression does not bypass the inhibition of cell transformation induced by Rock blockage, indicating that c-Myc is essential, but not sufficient, for Rock-dependent transformation. These results reveal the complexity of the genetic program orchestrated by the Rho subfamily and pinpoint protein networks that mediate different aspects of the malignant phenotype of Rho-transformed cells.

Amino Acid Substitution↗

Somatic mutations in human cancer: insights from resequencing the protein kinase gene family.

All cancers arise due to the accumulation of mutations in critical target genes that, when altered, give rise to selective advantage in the cell and its progeny that harbor them. Knowledge of these mutations is key in understanding the biology of cancer initiation and progression, as well as the development of more targeted therapeutic strategies. We have undertaken a systematic screen of all annotated protein kinases in the human genome for mutations in a series of cancers including breast, non-small-cell lung, and testicular cancer. Our results show a wide diversity in mutation prevalence within and between tumor types. We have identified a mutator phenotype in human breast previously undescribed. The results presented from sequencing the same 1.3 million base pairs through several tumor types suggest that most of the observed mutations are likely to be passenger events rather than causally implicated in oncogenesis. However, this work does provide evidence for the likely existence of multiple, infrequently mutated kinases.

Breast Neoplasms↗

Identification of a unique IAHP (IcmF associated homologous proteins) cluster in Vibrio cholerae and other proteobacteria through in silico analysis.

Previously using global transcription profile approach, the icmF gene of V. cholerae was identified as an in vivo induced gene involved in the regulation of motility, adherence to intestinal epithelial cells. The present report shows that icmF has 27 homologues in the finished and unfinished microbial genome sequences available in the database and among them only Legionella pneumophila IcmF has been partially characterized. We first identified a gene cluster containing 15 genes surrounding IcmF and designated as IcmF associated homologous protein (IAHP), present in nine gram-negative proteo-bacteria that need an intimate contact with the eukaryotic host cells. Only in P. aeruginosa the cluster is present in three different regions of the genome. In Y. pestis CO92 the cluster is in the same orientation as that of V. cholerae. But in E. coli O157:H7 VT2 Sakai, E. coli O157:H7 EDL933 and Y. pestis KIM, the cluster is in the opposite orientation to that of V. cholerae though the relative position of respective ORFs are the same. In other proteobacteria like M. loti, A. tumefaciens, P. aeruginosa and S. typhimurum, the genes are reshuffled indicating the frequent rearrangement in microbial genomes. Annotation, motif and domain prediction suggested a role of the proteins of IAHP cluster in cell surface architecture or secretion. Phylogenetic analysis of each protein belonging to the cluster present in all the nine organisms showed that only E. coli O157:H7 VT2 Sakai, E. coli O157:H7 EDL933, Y. pestis KIM and Y. pestis CO92 are closer to the V. cholerae and this pattern was similar for all proteins in the cluster. Presence of low G + C regions before and after the gene cluster in V. cholerae and both of the E. coli O157: H7 strains provide possibility of transfer of the gene cluster from a foreign source. From our finding it can be speculated that both of the E. coli O157:H7 strains and V. cholerae has a common ancestor, but the other organism where the cluster is reshuffled has undergone a long term of evolution.

Amino Acid Sequence↗

Immunoreactive outer membrane proteins of Leptospira interrogans serovar Canicola strain Hond Utrecht IV.

BACKGROUND & OBJECTIVES: Leptospirosis is a severe and complex zoonotic disease prevalent in many countries including India. Current leptospiral research is focussed on the identification of the outer membrane proteins (OMPs) of the organism that could be used in developing diagnostic assays for leptospirosis. METHODS: The Leptospira interrogans serovar Canicola was grown in EMJH medium and the cells were subjected to sarcosyl detergent treatment. The sarcosyl soluble (SS) and sarcosyl insoluble (SI) fractions were analyzed by SDS-PAGE and immunoblotting to deduce their protein profile and identifying various immunodominant antigens. RESULTS: The protein profile of SS fractions indicated the presence of three major bands of 41, 32 and 25 kDa and minor bands of 85 and 46 kDa. The SI fraction in serovar Canicola revealed the presence of 112, 93, 77, 43, 36, 29 and 22.5 kDa as major bands and minor bands of 102 and 53 kDa. In immunoblotting, the SS proteins of 41, 32 and 25 kDa and SI proteins of 112, 77, 36 and 22.5 kDa were detected to be major immunogenic proteins. INTERPRETATION & CONCLUSION: In our study immunogenic proteins were extracted from SS and SI fractions and OMPs were similar to those reported in other pathogenic Leptospira strains. These OMPs being unique to all the pathogenic leptospires, can be targeted for diagnostic purpose. Further analysis of the cellular location and expression of leptospiral proteins will be useful in the annotation of genomic sequence data and in providing insight into the biology of Leptospira cells.

Animals↗

Caenorhabditis elegans dpy-14: an essential collagen gene with unique expression profile and physiological roles in early development.

We describe the molecular characterisation of Caenorhabditis elegans dpy-14, a gene encoding an essential cuticular collagen annotated as col-59. Expression of dpy-14 starts at the 16 E cell stage, making it the earliest-expressing collagen reported to date. SAGE data and dpy-14 promoter::GFP reporter constructs indicate that the gene is transcribed mainly during embryogenesis, specifically in ciliated neurons and hypoderm. Water permeability assays and lectin staining showed that a mutation in the DPY-14 collagen results in defects in the channels of the amphids, which are a class of ciliated neuron, while the amphids appear morphologically normal by dye filling methods. Behavioural assays showed that the ciliated neurons expressing the gene are functional in dpy-14 mutants. All together, our data suggest that ciliated neurons and their hypodermal support cells collaborate in the transcription and synthesis of DPY-14, which then becomes a component of the amphid channels but not of the amphids proper. Interestingly, seam cells of dpy-14 mutants do not properly fuse to form a syncytium. This novel phenotype due to collagen mutations further stresses that dpy-14 plays a fundamental role in C. elegans physiology, since it is required for the proper development of the hypoderm.

Amino Acid Sequence↗

Expression of 25 high egg production related transcripts that identified from hypothalamus and pituitary gland in red-feather Taiwan country chickens.

Expression levels of 33 high egg production candidate transcripts in Red-feather Taiwan country chickens (TCCs) were examined by quantitative reverse-transcription (RT) polymerase chain reactions (PCR) in this study. Candidate transcripts were previously identified from a L2-B (L2-subtract-B) hypothalamus/pituitary gland subtractive cDNA library. In this subtractive cDNA library, two divergently selected strains of TCCs, B and L2 were used. These two strains were originated from one single population and were further subjected (since 1982) to the selections of body weight/comb size (B) and eggs to 40wk of age (L2), respectively. Hypothalamuses and pituitary glands that sampled from Red-feather TCCs were previously grouped into high (Red-high; n=20) and low (Red-low; n=20) egg productions based on the rate of lay after 1st egg (hen-day laying rate; %). Rates of lay after 1st egg (mean+/-S.E.) in the Red-high and the Red-low subpopulations were 72.2+/-0.6 and 23.0+/-3.5, respectively (P<0.01). Quantitative RT-PCR validated that 25 candidate transcripts were significantly higher expressed in the Red-high than in the Red-low hens. These transcripts were ANP32A, BDH, CDC42, CNTN1, COMT, CPE, CTNNB1, DIO2, EIF4E, GARNL1, HSPCA, LAPTM4B, MBP, NAP1L4, NCAM1, PARK7, PCDHA@, PGDS, PLAG1, PRL, RAD21, SAR1A, SCG2, STMN1 and UFM1. Among these transcripts, 15 (79.0%), 13 (68.4%), and 12 (63.2%) genes were annotated to involve in cellular physiological process (GO:0050875), metabolism (GO:0008152) and cell communication (GO:0007154). Identified transcripts that related to high egg production are most active in focal adhesion, adherens junction, MAPK signaling, tight junction and cell adhesion pathways.

Aging↗

IMGT unique numbering for MHC groove G-DOMAIN and MHC superfamily (MhcSF) G-LIKE-DOMAIN.

IMGT, the international ImMunoGeneTics information system (http://imgt.cines.fr) provides a common access to expertly annotated data on the genome, proteome, genetics and structure of immunoglobulins (IG), T cell receptors (TR), major histocompatibility complex (MHC), and related proteins of the immune system (RPI) of human and other vertebrates. The NUMEROTATION concept of IMGT-ONTOLOGY has allowed to define a unique numbering for the variable domains (V-DOMAINs) and constant domains (C-DOMAINs) of the IG and TR, which has been extended to the V-LIKE-DOMAINs and C-LIKE-DOMAINs of the immunoglobulin superfamily (IgSF) proteins other than the IG and TR (Dev Comp Immunol 27:55--77, 2003; 29:185--203, 2005). In this paper, we describe the IMGT unique numbering for the groove domains (G-DOMAINs) of the MHC and for the G-LIKE-DOMAINs of the MHC superfamily (MhcSF) proteins other than MHC. This IMGT unique numbering leads, for the first time, to the standardized description of the mutations, allelic polymorphisms, two-dimensional (2D) representations and three-dimensional (3D) structures of the G-DOMAINs and G-LIKE-DOMAINs in any species, and therefore, is highly valuable for their comparative, structural, functional and evolutionary studies.

Amino Acid Sequence↗

Genome-wide high-throughput screens in functional genomics.

The availability of complete genome sequences from many organisms has yielded the ability to perform high-throughput, genome-wide screens of gene function. Within the past year, rapid advances have been made towards this goal in many major model systems, including yeast, worms, flies, and mammals. Yeast genome-wide screens have taken advantage of libraries of deletion strains, but RNA-interference has been used in other organisms to knockdown gene function. Examples of recent large-scale functional genetic screens include drug-target identification in yeast, regulators of fat accumulation in worms, growth and viability in flies, and proteasome-mediated degradation in mammalian cells. Within the next five years, such screens are likely to lead to annotation of function of most genes across multiple organisms. Integration of such data with other genomic approaches will extend our understanding of cellular networks.

Animals↗

Murine embryonic expression of the gene for the UV-responsive protein p15(PAF).

In a screen for genes expressed in the embryonic mouse facial primordia, we identified the gene sequence annotated as KIAA0101, which has previously been shown to encode a novel proliferating cell nuclear antigen (PCNA)-interacting protein named p15(PAF). We have since demonstrated that this protein also interacts in a complex with the tumour suppressor product p33ING1b, and that overexpression results in a decrease in UV-induced cell death. Although available data suggest widespread or ubiquitous expression in the adult, here we report highly restricted expression of the p15(PAF) gene in a spatio-temporal manner during mouse embryogenesis. Major sites of expression include the facial prominences, limbs, somites, brain, spinal cord and hair follicles. Based on the nature of its interacting partners, p15(PAF) is proposed to play a role in tumorigenesis. Our data also suggest a role in embryonic development, consistent with findings that a wide range of tumours result from aberrant activity of key developmental pathways.

Animals↗

BaCelLo: a balanced subcellular localization predictor.

MOTIVATION: The knowledge of the subcellular localization of a protein is fundamental for elucidating its function. It is difficult to determine the subcellular location for eukaryotic cells with experimental high-throughput procedures. Computational procedures are then needed for annotating the subcellular location of proteins in large scale genomic projects. RESULTS: BaCelLo is a predictor for five classes of subcellular localization (secretory pathway, cytoplasm, nucleus, mitochondrion and chloroplast) and it is based on different SVMs organized in a decision tree. The system exploits the information derived from the residue sequence and from the evolutionary information contained in alignment profiles. It analyzes the whole sequence composition and the compositions of both the N- and C-termini. The training set is curated in order to avoid redundancy. For the first time a balancing procedure is introduced in order to mitigate the effect of biased training sets. Three kingdom-specific predictors are implemented: for animals, plants and fungi, respectively. When distributing the proteins from animals and fungi into four classes, accuracy of BaCelLo reach 74% and 76%, respectively; a score of 67% is obtained when proteins from plants are distributed into five classes. BaCelLo outperforms the other presently available methods for the same task and gives more balanced accuracy and coverage values for each class. We also predict the subcellular localization of five whole proteomes, Homo sapiens, Mus musculus, Caenorhabditis elegans, Saccharomyces cerevisiae and Arabidopsis thaliana, comparing the protein content in each different compartment. AVAILABILITY: BaCelLo can be accessed at http://www.biocomp.unibo.it/bacello/.

Algorithms↗

Prediction of the coding sequences of unidentified human genes. XVI. The complete sequences of 150 new cDNA clones from brain which code for large proteins in vitro.

We have carried out a human cDNA sequencing project to accumulate information regarding the coding sequences of unidentified human genes. As an extension of the preceding reports, we herein present the entire sequences of 150 cDNA clones of unknown human genes, named KIAA1294 to KIAA1443, from two sets of size-fractionated human adult and fetal brain cDNA libraries. The average sizes of the inserts and corresponding open reading frames of cDNA clones analyzed here reached 4.8 kb and 2.7 kb (910 amino acid residues), respectively. From sequence similarities and protein motifs, 73 predicted gene products were functionally annotated and 97% of them were classified into the following four functional categories: cell signaling/communication, nucleic acid management, cell structure/motility and protein management. Additionally, the chromosomal loci of the genes were assigned by using human-rodent hybrid panels for those genes whose mapping data were not available in the public databases. The expression profiles of the genes were also studied in 10 human tissues, 8 brain regions, spinal cord, fetal brain and fetal liver by reverse transcription-coupled polymerase chain reaction, products of which were quantified by enzyme-linked immunosorbent assay.

Adult↗

A database designed to computationally aid an experimental approach to alternative splicing.

A unique microarray approach has been developed to profile alternative splicing in the cell. To support the development of this approach, we have developed the Manually Annotated Alternatively Spliced Events (MAASE) database system, which is a unique alternative splicing information resource designed specifically with experimentalists in mind. MAASE is an online resource for the convenient access, identification, and annotation of alternative splicing events (ASEs). MAASE consists of two components: an annotation system and a curated database. The annotation system is a web-based workspace that combines manual and computational approaches to identifying and annotating ASEs, a combination that is vital if a comprehensive collection is to be obtained. The annotation system is publicly available and provides a scalable solution to acquiring as well as contributing to annotated ASEs. MAASE annotated ASEs are deposited into the database component, which can either be queried one entry at a time or multiple entries at a time with convenient access to alternatively spliced junctional and surrounding sequences to facilitate the design of microarray experiments.

Alternative Splicing↗

The use of edge-betweenness clustering to investigate biological function in protein interaction networks.

BACKGROUND: This paper describes an automated method for finding clusters of interconnected proteins in protein interaction networks and retrieving protein annotations associated with these clusters. RESULTS: Protein interaction graphs were separated into subgraphs of interconnected proteins, using the JUNG implementation of Girvan and Newman's Edge-Betweenness algorithm. Functions were sought for these subgraphs by detecting significant correlations with the distribution of Gene Ontology terms which had been used to annotate the proteins within each cluster. The method was implemented using freely available software (JUNG and the R statistical package). Protein clusters with significant correlations to functional annotations could be identified and included groups of proteins know to cooperate in cell metabolism. The method appears to be resilient against the presence of false positive interactions. CONCLUSION: This method provides a useful tool for rapid screening of small to medium size protein interaction datasets.

Algorithms↗