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      Evidence for an Essential Deglycosylation-Independent Activity of PNGase in Drosophila melanogaster

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          Abstract

          Background

          Peptide: N-glycanase (PNGase) is an enzyme which releases N-linked glycans from glycopeptides/glycoproteins. This enzyme plays a role in the ER-associated degradation (ERAD) pathway in yeast and mice, but the biological importance of this activity remains unknown.

          Principal Findings

          In this study, we characterized the ortholog of cytoplasmic PNGases, PNGase-like (Pngl), in Drosophila melanogaster. Pngl was found to have a molecular weight of ∼74K and was mainly localized in the cytosol. Pngl lacks a CXXC motif that is critical for enzymatic activity in other species and accordingly did not appear to possess PNGase activity, though it still retains carbohydrate-binding activity. We generated microdeletions in the Pngl locus in order to investigate the functional importance of this protein in vivo. Elimination of Pngl led to a serious developmental delay or arrest during the larval and pupal stages, and surviving mutant adult males and females were frequently sterile. Most importantly, these phenotypes were rescued by ubiquitous expression of Pngl, clearly indicating that those phenotypic consequences were indeed due to the lack of functional Pngl. Interestingly, a putative “catalytic-inactive” mutant could not rescue the growth-delay phenotype, indicating that a biochemical activity of this protein is important for its biological function.

          Conclusion

          Pngl was shown to be inevitable for the proper developmental transition and the biochemical properties other than deglycosylation activity is important for its biological function.

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          Most cited references51

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          Gal4 in the Drosophila female germline.

          The modular Gal4 system has proven to be an extremely useful tool for conditional gene expression in Drosophila. One limitation has been the inability of the system to work in the female germline. A modified Gal4 system that works throughout oogenesis is presented here. To achieve germline expression, it was critical to change the basal promoter and 3'-UTR in the Gal4-responsive expression vector (generating UASp). Basal promoters and heterologous 3'-UTRs are often considered neutral, but as shown here, can endow qualitative tissue-specificity to a chimeric transcript. The modified Gal4 system was used to investigate the role of the Drosophila FGF homologue branchless, ligand for the FGF receptor breathless, in border cell migration. FGF signaling guides tracheal cell migration in the embryo. However, misexpression of branchless in the ovary had no effect on border cell migration. Thus border cells and tracheal cells appear to be guided differently. Copyright 1998 Elsevier Science Ireland Ltd. All Rights Reserved
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            A Drosophila full-length cDNA resource

            Background One of the goals of the Berkeley Drosophila Genome Project is to define experimentally the transcribed portions of the genome by producing a collection of fully sequenced cDNAs. We have previously reported the construction of cDNA libraries from a variety of tissues and developmental stages; these libraries were used to generate over 250,000 expressed sequence tags (ESTs), corresponding to approximately 70% of the predicted protein-coding genes in the Drosophila melanogaster genome [1,2]. We used computational analysis of these ESTs to establish a collection of putative full-length cDNA clones, the Drosophila Gene Collection (DGC) [1,2]. Here, we describe the process by which we sequenced the full inserts of 8,921 cDNA clones from the DGC, describe the methods by which we assess each clone's likelihood of containing a complete and accurate protein-coding region, and illustrate how these data can be used to uncover additional cases of RNA editing. We have confirmed the identification of 5,375 cDNA clones that can be used with confidence for protein expression or genetic complementation. Results and discussion Sequencing strategy Current approaches to full-insert sequencing of cDNA clones include concatenated cDNA sequencing [3], primer walking [4], and strategies using transposon insertion to create priming sites [5,6,7,8,9]. We adopted a cDNA sequencing strategy that relies on an in vitro transposon insertion system based on the MuA transposase, combined with primer walking (see Materials and methods for details). The production of full-insert sequences from DGC cDNAs is summarized in Tables 1 and 2. For DGCr1, clones were sized before sequencing. Small clones (< 1.4 kilobases (kb)) were sequenced with custom primers and larger clones were sequenced using either mapped or unmapped transposon insertions. For DGCr2, clones were not sized and a set of unmapped transposon insertions was sequenced to generate an average of 5× sequence coverage. For both DGCr1 and r2, custom oligonucleotide primers designed using Autofinish [10] were used to bring the sequences to high quality. To date, we have completed sequencing 93% of the DGCr1 clone set and 80% of the DGCr2 clone set. The strategy used for sequencing DGCr1 clones appears to be more efficient, because on average they required fewer sequencing reads than DGCr2 clones. However, we were able to reduce cycle time and increase throughput using the shotgun strategy adopted for sequencing the DGCr2 clones. The average insert size of the 8,770 high-quality cDNA sequences that have been submitted to GenBank is 2 kb and they total 17.5 megabases (Mb) of sequence. The largest clone (SD01389) is 8.7 kb and is derived from a gene (CG10011) that encodes a 2,119-amino-acid ankyrin repeat-containing protein. Evaluating the coding potential of each cDNA on the basis of its full-insert sequence For many potential uses in proteomics and functional genomics [11,12,13], it is important to establish cDNA collections comprised only of cDNAs with complete and uncorrupted open reading frames (ORFs). To determine which of our sequenced clones meet this standard, we compared them to the annotated Release 3 genome sequence [14,15] using a combination of BLAST [16] and Sim4 [17] alignments (see Materials and methods for details). We grouped the cDNAs into four categories (Table 3). The first category contains a total of 5,916 cDNA clones, or 68% of the sequenced clones. We are confident that 5,375 of these clones contain a complete and accurate ORF, as they precisely match the Release 3 predicted protein for the corresponding gene. An additional 541 clones are from the SD, GM and AT libraries, which were generated from fly strains that are not isogenic with the strain used to produce the genome sequence. The predicted ORFs from clones from these libraries were required to be identical in length to the Release 3 predicted protein with less than 2% amino-acid difference to be placed in this category. We cannot at present distinguish whether these differences result from strain polymorphisms or reverse transcriptase (RT) errors. However, our own internal estimates of RT errors (see below), based on the observed nucleotide substitution rate in cDNAs derived from the same strain as the genomic sequence, and published estimates of strain polymorphisms [18] lead us to believe that the majority of these changes are the result of strain polymorphism. The second category represents 2,450 clones that are known to be compromised in one of a number of ways. The sequences of the largest class of compromised clones (1,314) align to the Release 3 predicted transcripts, but have nucleotide discrepancies that are most likely the result of errors generated by RT during library construction. These include missense and frameshift (+/-1 or +/-2 nucleotide difference) changes in the predicted ORF relative to the Release 3 predicted protein. Clones placed in this class can show up to 2% amino acid differences from the Release 3 peptide for isogenic libraries, and up to 4% difference for non-isogenic libraries. We estimated the error rate of an RNAseH-deficient RT (SuperScriptII, Invitrogen, Carlsbad, CA) by comparing the nucleotide sequence of cDNAs from isogenic libraries to the genomic sequence. For the GH, HL, LD, and LP libraries [1], we observed an error rate of 1 in 4,000; for the RE and RH libraries [2], we observed an error rate of 1 in 1,000. This difference is likely due to the different RT reaction conditions used in these two library construction protocols [1,2]. Although these numbers are higher than the 1 in 15,000 figure reported for SuperScriptII (Taurai Nenguke, personal communication), the in vitro assay used to obtain this error rate is based on assaying a single site for mutations that revert an amber codon. The next largest class of compromised clones (768) consists of clones apparently truncated at their 5' ends, as judged by comparison to the Release 3 predicted ORFs of the corresponding genes. The 768 5'-short clones represent 757 distinct Release 3 annotated transcripts. For 151 of the 5'-short clones, 143 from DGCr1 and eight from DGCr2, we were able to identify clones with longer ORFs by additional EST sequencing. The remaining 606 clones are assumed to be 5' short because they do not possess a 5' in-frame stop codon and the corresponding annotated ORF in Release 3 extends further 5'. This class of clones represents approximately 9% of all finished clones, consistent with our original estimates that 80-94% of the DGC clones would contain the full ORF [1,2]. The remaining six classes of compromised clones consist of a total of 368 cDNAs (4% of all finished clones, see Table 3). Eighty-three clones encode ORFs that are truncated at their carboxy-termini and are most likely the result of priming from internal poly(A) tracts. Seventy-seven clones contain two unrelated ORFs and are almost certainly the result of two cDNAs being cloned into the same plasmid vector during library construction. Seventy clones contain ORFs of less than 50 amino acids. One hundred and eleven clones overlap a Release 3 predicted gene but are transcribed from the opposite strand from that of the mRNA encoding the Release 3 predicted protein and are considered anti-sense transcripts; a number of such cases were documented in the reannotation of the genome [15] and have been reported in many organisms [19]. Twenty-one clones correspond to transcripts of transposable elements on the basis of their sequence similarity to identified Drosophila transposons [20]. Finally, six clones contain a bacterial transposable element (Tn10, IS1 or IS2) that most likely inserted into the clone during propagation in Escherichia coli (bacterial contaminants). The third and fourth categories consist of clones that may represent alternative transcripts (138) and clones that are currently computationally unclassified (417), respectively. The summary of the analysis of these clones is described in Table 3. Improving the Drosophila cDNA resource We have identified and sequenced cDNA clones that contain a complete and accurate ORF for 40% of all predicted Drosophila genes. We plan on extending this project in two ways. First, we intend to increase the number of genes represented in this set of fully vetted cDNA clones using a combination of experimental approaches. We can use site-directed mutagenesis to correct clones that carry single nucleotide changes or other small, localized defects. For the majority of the compromised clones, we have candidate replacement clones available that were identified as part of our EST sequencing and analysis efforts [2]. Generation of the Release 3 annotation of the genome made extensive use of our full-insert sequence data [15]. In the course of that effort, human curators identified a total of 2,013 clones that have become the DGCr3. The DGCr3 currently includes 309 clones chosen to replace clones with truncated ORFs, 543 clones for genes that are not currently represented in the DGC, and 833 clones that represent alternative splicing forms. To identify cDNAs for the remaining genes, we plan on using a combination of additional EST sequencing, reverse transcriptase PCR (RT-PCR) and cDNA library screening. Second, we plan on transferring ORFs to a universal cloning system (see [21,22] for examples) in order to generate a standard reagent for proteomics and other functional genomic experiments. In collaboration with Orbigen [23], we have already generated 72 baculovirus expression clones from a set of Gateway (Invitrogen, Carlsbad, CA) clones encoding transcription factors. mRNA editing RNA editing is a well-documented mechanism of generating nucleotide diversity beyond that directly encoded by the genome. Adenosine deaminase (ADAR) targets double-stranded regions of nuclear-encoded RNAs, catalyzing the deamination of adenosine (A) to inosine (I) [24]. Inosine mimics guanosine (G) in its base-pairing properties, and the translational machinery of the cell interprets I as G. In this way, an A-to-I conversion in the mRNA can alter the genetic information and, consequently, protein function. Null mutations in the single ADAR gene in Drosophila (dADAR) suggest that the function of pre-mRNA editing is to modify adult behavior by altering signaling components in the nervous system [25,26]. Among the mRNAs known to be edited in Drosophila are those encoded by cacophony (a calcium channel gene) [27], paralytic (a sodium channel gene) [28] and GluCla (a chloride channel gene) [29], all of which have multiple editing sites in their coding sequences. In the course of evaluating the quality of the DGCr1 and DGCr2 cDNAs, described above, we compared their translation products to those of the recently completed Release 3 genomic sequence. Such comparisons should reveal cases of RNA editing. In cases in which the predicted protein sequences disagreed, we examined the corresponding nucleotide sequences in search of site-specific A-to-G variation between cDNA and genomic sequences. We identified over 30 candidates consistent with RNA editing; however, additional cDNA or EST data will be required to distinguish RNA editing from RT errors or strain polymorphisms. In a few cases we had enough cDNA and EST data to indicate that RNA editing is the most likely explanation for the observed variation. One such example is shown in Figure 1. The gene CG18314 encodes a G-protein-coupled receptor of the rhodopsin family, containing a seven-transmembrane protein domain with similarity to β2-adrenergic receptors of mouse and human [30,31]. Ten potential sites of RNA editing were revealed by comparison of the genomic sequence with those of two cDNAs and three ESTs. We validated these 10 sites by gene-specific RT-PCR using RNA isolated from heads of isogenic animals and identified 15 new sites (see legend to Figure 1). We are now in the process of a more rigorous and thorough analysis of potential RNA-editing targets. Materials and methods Sequencing strategy The Drosophila Gene Collection (DGC) consists of two releases, DGCr1 and DGCr2. A process flow diagram of our sequencing strategies is available online [32] and is summarized below. The clones in DGCr1 were arrayed by insert size [1] and sequenced accordingly; clones in DGCr2 were not arrayed by size. DGCr1 clones less than 1.4 kb were assembled using phrap [33] and analyzed with custom scripts to determine whether they were complete. Autofinish (part of the consed computer software package) was used to automatically design custom primers [10] for clones that needed quality improvement. Clones that did not finish in the first two rounds of Autofinish were sent to a manual finishing queue for more sophisticated finishing. cDNA clones larger than 1.4 kb were divided into three groups: 1.4 to 3 kb, 3 to 4.5 kb, and greater than 4.5 kb. All clones were sequenced using the in vitro Template Generation System (TGStm Finnzyme). Clones 3 to 4.5 kb in size, were sequenced using a minimal path of transposon-bearing clones. Clones, 1.4 to 3 kb and those greater than 4.5 kb, were sequenced with 24 and 48 unmapped transposon-bearing clones, respectively. After the initial cycle of transposon sequencing, the clones were analyzed using in-house scripts and Autofinish to determine their state of completeness and quality. DGCr2 clones were sequenced using 24 unmapped transposon-bearing clones. After an initial cycle of transposon sequencing, the clones were analyzed for completeness and quality as described above for DGCr1 clones, using in-house scripts and Autofinish. DGCr2 clone sequences were screened for transposable element sequences, cases of co-ligation, and presence of a poly(A) tail before any finishing work was ordered. In vitro transposition and mapping insertion sites Transposon insertion reactions were carried out in 96-well format using the Template Generation System (TGStm) according to the manufacturer's recommendations (Finnzyme). Transposon reactions consisted of 1 μl (50-150 ng) plasmid DNA isolated from Qiagen or Revprep DNA isolation robots, 1.6 μl 5× reaction buffer, 8 ng Entranceposon (KanR), 0.4 μl MuA transposase, and deionized water to bring the final volume to 8 μl. Reactions were carried out in PCR plates and incubated in an ABI thermocycler according to the manufacturer's instructions. After heat inactivation of the MuA transposase, 2 μl of the reaction were used to transform 17 μl of DH5α chemically competent cells (Invitrogen) in 96-well format. Following incubation at 37°C for 1 h in 183 μl SOC medium, cells were plated onto appropriate medium selecting for vector and Entranceposon antibiotic resistance. Plates were incubated at 37°C overnight. Colonies were picked into 1.2-ml polypropylene titer tubes (E&K Scientific) containing 0.5 ml LB medium supplemented with 7.5% glycerol and the appropriate antibiotics and incubated at 37°C overnight. These stocks were then used to inoculate 1.2 ml 2XYT medium in 96-well square deep-well plates (E&K Scientific) for culture and DNA plasmid preps. Transposon insertion sites were mapped relative to the vector ends by PCR essentially as described [34]. Forty-eight transposon-bearing clones were picked for PCR mapping using the Mu-End primer (present at both ends of the tranposon) in combination with vector-specific primers, resulting in 96 PCR products. Agarose gels were imaged using custom software developed in-house (Earl Cornell, LBNL) and analyzed using an algorithm, Supertramp [35,36], to identify a minimal path of transposon-bearing clones to be re-arrayed and sequenced. DNA sequencing Purified plasmid DNA from transposon-bearing clones was sequenced using 2 μl ABI BigDye II Dye terminator mix (Applied Biosystems) in a 10-μl reaction. Sequencing reactions were processed through 96-well Sephadex G-50 SF plates (Multiscreen filter plates; Millipore) and loaded onto ABI Prism 3700 DNA Analyzer. Sequencing primers specific for each end of the Entranceposon were used in the reactions (5'-ATCAGCGGCCGCGATCC-3' and 5'-TTATTCGGTCGAAAAGGATCC-3'). Sequencing of 5' and 3' cDNA ends was carried out as previously described [2]. The sequencing reported here was carried out over a 2-year period during which we made several major modifications to the strategy; for example, switching from sequencing mapped transposon insertions to random transposons. These changes improved throughput and cycle time, but made the process less efficient in terms of the required number of sequencing reads. Because of these changes, it is not possible to give a meaningful single efficiency estimate; however, our overall efficiency is comparable to other efforts using a similar strategy [8,9]. Data processing and assembly cDNA clone data management relied on custom scripts and an Informix database. Sequences were processed using phred [37,38] and assembled using phrap [33]. 5' and 3' EST end-reads were combined with the transposon-based reads to generate cDNA clone assemblies. We adopted the sequence quality-control standards defined for the Mammalian Gene Collection project [39]. Custom scripts evaluated assemblies for: 5' and 3' EST reads in a single contig in the proper orientation; at least 10 bases of 3' poly(A) tail; phrap estimated error rate of less than one in 50,000 bases; and individual base quality of at least q25. Double-stranded coverage was not a criterion for a clone to be considered finished; however, we have determined that 96.2% of all submitted bases are double-stranded and 48% of clones had complete double-stranded coverage. Autofinish [10] was used to design primers to improve quality or extend sequence from multiple sequence contigs. cDNA clones with an estimated error rate greater than one in 50,000 bp were automatically identified and processed with additional rounds of Autofinish designed finishing work. If Autofinish could not design primers, custom primers were designed manually using consed. Custom scripts were used to manually order primers to generate a further round of sequencing. The sequence data described in this paper have been submitted to the GenBank data library under accession numbers: AF132140-AF132196, AF160900, AF132551-AF132560, AF160903-AF160904, AF132562-AF132563, AF160906, AF160909, AF132565-AF132567, AF160911-AF160913, AF145594-AF145621, AF160916-AF160917, AF145623-AF145684, AF160921, AF160923, AF145686-AF145696, AF160929, AF160879, AF160882, AF160933-AF160934, AF160889-AF160891, AF160938-AF160944, AF160893-AF160897, AF160947, AF172635-AF172637, AY071209-AY071211, AF181622-AF181650, AY071213-AY071216, AF181652-AF181657, AY071218-AY071250, AF184224-AF184230, AY071252-AY071266, AY047496-AY047580, AY071268-AY071288, AY050225-AY050241, AY071290-AY071313, AY051411-AY052150, AY071315-AY071320, AY058243-AY058797, AY071322-AY071331, AY059433-AY059459, AY071333-AY071342, AY060222-AY060487, AY071345, AY060595-AY061633, AY071347-AY071381, AY061821-AY061834, AY071383-AY071385, AY069026-AY069757, AY071387, AY069759-AY069867, AY071389-AY071406, AY070491-AY070597, AY071408-AY071436, AY070599-AY070602, AY071438-AY071445, AY070604-AY070608, AY071447-AY0 71450, AY070610-AY070623, AY071452-AY071454, AY070625-AY070628, AY071456-AY071461, AY070632-AY070634, AY071463-AY071476, AY070636, AY071478-AY071489, AY070638-AY070642, AY071491, AY070644, AY071494-AY071543, AY070646-AY070651, AY071545-AY071557, AY070653-AY070656, AY071559-AY071564, AY070658-AY070662, AY071566-AY071577, AY070664-AY070667, AY071579-AY071581, AY070671-AY070692, AY071583-AY071606, AY070694-AY070716, AY071608-AY071632, AY070777-AY070805, AY071634-AY071661, AY070807-AY070830, AY071663-AY071664, AY070832-AY070909, AY071666-AY071672, AY070911-AY070913, AY071674, AY070915-AY070920, AY071681-AY071683, AY070922-AY070951, AY071685-AY071692, AY070953-AY070954, AY071694-AY071703, AY070957-AY070964, AY071705-AY071711, AY070966, AY071713-AY071721, AY070969-AY070973, AY071724, AY070975-AY070985, AY071726-AY071727, AY070987-AY071000, AY071729-AY071731, AY071002, AY071733-AY071741, AY071004-AY071006, AY071743-AY071745, AY071008-AY071056, AY071747-AY071764, AY071058-AY071064, AY071767-AY071768, AY071066-AY071072, AY075158-AY075228, AY071074-AY071084, AY075230-AY075262, AY071086-AY071090, AY075264-AY075441, AY071092, AY075443-AY075451, AY071094-AY07H36, AY075453-AY075473, AY071138-AY071140, AY075475-AY075524, AY071142-AY071154, AY075526-AY075588, AY071156-AY071157, AY084089-AY084152, AY071159-AY071197, AY084154-AY084214, AY071199-AY071203, AY089215-AY089229, AY071205-AY071207, AY089231-AY089329, AY089331-AY089461, AY118273-AY118672, AY089463-AY089564, AYn8674-AYn8713, AY089566-AY089601, AY118715-AY119132, AY089603-AY089615, AY119134-AY119287, AY089617-AY089700, AY119441-AY119665, AY094627-AY094871, AY121612-AY121684, AY094873-AY094970, AY121686-AY121700, AY094996-AY095100, AY121702-AY121717, AY095172-AY095206, AY122061-AY122270, AY095508-AY095533, AY128413-AY128506, AY102649-AY102700, AY129431-AY129464, AY113190-AY113653, BT001253-BT001904. Analysis of finished cDNA sequences cDNA sequence was submitted to GenBank with a preliminary annotation of the longest ORF and a gene assignment based on a high BLASTN similarity score to the Release 2 genome annotations. Subsequent processing was used to determine a more detailed analysis of the clone quality. Using BLASTN, sequence from each cDNA clone was compared to genomic sequence, predicted genes, predicted coding sequences (CDSs), known Drosophila transposable elements, and Escherichia coli transposable elements. Using BLASTP, the translation of the longest ORF was compared to the predicted Release 3 translations [15]. Custom scripts were used to parse the BLAST output and record similarity results. We also compared the nucleotide sequence of each clone to the Release 3 genome sequence [14] using Sim4 and to the Release 3 predicted CDS with the highest BLAST score. mRNA editing We confirmed the sequence quality of the genomic region encompassing CG018314 (12,731 bp) by independently assembling an 18,284 bp contig consisting solely of whole-genome shotgun (WGS) traces. The assembled sequence contig has an average of 8.6× sequence coverage. The phrap estimated error rate for each genomic base corresponding to a mRNA edited base is q90. Similarly, we determined the phrap estimated error rate for each mRNA edited base to be q90. We manually inspected chromatograms for high-quality discrepancies in the genomic sequence and found none, indicating that the edited bases are not due to population heterozygosity. To validate the editing sites, total RNA was isolated from heads from a mixed population of male and female adult flies from the isogenic strain y 1; cn 1 bw 1 sp 1 using the Concert™ Cytoplasmic RNA isolation reagent according to the manufacturer's guidelines (Invitrogen). Nine independent gene-specific RT-PCR reactions were performed using the Superscript™ one-step RT-PCR kit according to the manufacturer (Invitrogen) and PCR products were cloned into the PCR2.1 vector. Twenty-four independent subclones from each of four independent RT-PCR products were sequenced and twelve independent subclones from an additional five independent RT-PCR products were sequenced; we considered amplicons to represent independent transcripts if they arose from different RT-PCR reactions or if they differed in sequence. The gene-specific primers used in the RT-PCR experiments were 5'-GTGCAGACGAAAACGAGATGCCAATG-3' and 5'-TGTAGTTCTTCTCAAAGGGATTACG-3'.
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              Characterization and use of the Drosophila metallothionein promoter in cultured Drosophila melanogaster cells.

              The promoter from the metallothionein gene may be a useful conditional promoter for the construction of chimeric genes to be expressed in Drosophila cells in culture. To explore this possibility the responses of the endogenous metallothionein gene and an in vitro constructed chimeric gene containing the metallothionein promoter were examined. Copper and cadmium, when added to the growth medium of Drosophila Schneider's line 2 cells, can produce a 30-100 fold induction of metallothionein mRNA levels. The level of induction depends on the amount of copper or cadmium added to the medium and these mRNA levels remain high for at least four days. Copper is less toxic than cadmium and does not induce a typical heat-shock response in the cells. Finally, a chimeric gene containing the metallothionein promoter shows a similar induction when transformed into the cells.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2010
                10 May 2010
                : 5
                : 5
                : e10545
                Affiliations
                [1 ]Glycometabolome Team, Systems Glycobiology Research Group, RIKEN Advanced Science Institute, Wako, Saitama, Japan
                [2 ]Department of Biochemistry and Cell Biology and the Center for Developmental Genetics, Stony Brook University, Stony Brook, New York, United States of America
                [3 ]Department of Biochemistry and Cell Biology and Institute for Cell and Developmental Biology, Stony Brook University, Stony Brook, New York, United States of America
                [4 ]Department of Chemistry and Chemical Biology, Gunma University, Kiryu, Gunma, Japan
                [5 ]Synthetic Cellular Chemistry Laboratory, RIKEN Advanced Science Institute, Wako, Saitama, Japan
                [6 ]Glycotrilogy Project, Exploratory Research for Advanced Technology (ERATO), Japan Science and Technology Agency (JST), Kawaguchi, Saitama, Japan
                [7 ]Department of Disease Glycomics, The Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan
                [8 ]Disease Glycomics Team, RIKEN Advanced Science Institute, Wako, Saitama, Japan
                [9 ]Core Research for Evolutionary Science and Technology (CREST), Japan Science and Technology Agency (JST), Kawaguchi, Saitama, Japan
                National Institute on Aging, United States of America
                Author notes

                Conceived and designed the experiments: YF TS. Performed the experiments: YF YN JPG JS KI. Analyzed the data: YF. Contributed reagents/materials/analysis tools: YF JPG WL IM YI NT TS. Wrote the paper: YF TS.

                Article
                09-PONE-RA-15173R1
                10.1371/journal.pone.0010545
                2866665
                20479940
                35e86484-d479-4d64-b7f8-0d444811dc9e
                Funakoshi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 27 December 2009
                : 12 April 2010
                Page count
                Pages: 12
                Categories
                Research Article
                Developmental Biology
                Biochemistry/Molecular Evolution
                Genetics and Genomics/Gene Function

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