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Hiroyuki Kaji

Publications and source records attributed to Hiroyuki Kaji.

15 recordsLinked to original sources
PubMed2024

GRable Version 1.0: A Software Tool for Site-Specific Glycoform Analysis With Improved MS1-Based Glycopeptide Detection With Parallel Clustering and Confidence Evaluation With MS2 Information.

High-throughput intact glycopeptide analysis is crucial for elucidating the physiological and pathological status of the glycans attached to each glycoprotein. Mass spectrometry-based glycoproteomic methods are challenging because of the diversity and heterogeneity of glycan structures. Therefore, we developed an MS1-based site-specific glycoform analysis method named "Glycan heterogeneity-based Relational IDentification of Glycopeptide signals on Elution profile (Glyco-RIDGE)" for a more comprehensive analysis. This method detects glycopeptide signals as a cluster based on the mass and chromatographic properties of glycopeptides and then searches for each combination of core peptides and glycan compositions by matching their mass and retention time differences. Here, we developed a novel browser-based software named GRable for semi-automated Glyco-RIDGE analysis with significant improvements in glycopeptide detection algorithms, including "parallel clustering." This unique function improved the comprehensiveness of glycopeptide detection and allowed the analysis to focus on specific glycan structures, such as pauci-mannose. The other notable improvement is evaluating the "confidence level" of the GRable results, especially using MS2 information. This function facilitated reduced misassignment of the core peptide and glycan composition and improved the interpretation of the results. Additional improved points of the algorithms are "correction function" for accurate monoisotopic peak picking; one-to-one correspondence of clusters and core peptides even for multiply sialylated glycopeptides; and "inter-cluster analysis" function for understanding the reason for detected but unmatched clusters. The significance of these improvements was demonstrated using purified and crude glycoprotein samples, showing that GRable allowed site-specific glycoform analysis of intact sialylated glycoproteins on a large-scale and in-depth. Therefore, this software will help us analyze the status and changes in glycans to obtain biological and clinical insights into protein glycosylation by complementing the comprehensiveness of MS2-based glycoproteomics. GRable can be freely run online using a web browser via the GlyCosmos Portal (https://glycosmos.org/grable).

Glycopeptides↗
PubMed2006

Processing of amyloid beta-peptides by neutral cysteine protease bleomycin hydrolase.

We studied the processing of amyloid beta-peptides (Abetas) including Abeta(1-40), Abeta(1-42) and pAbeta(3-42) by rat neutral cysteine protease bleomycin hydrolase (BH) according to the methods of SDS-PAGE, HPLC and matrix-assisted laser desorption/inonization time-of-flight mass spectrometry (MALDI-TOF MS). BH significantly processed them by novel features of its diverse activities. It initially cleaved at two sites, His(14)-Gln(15) and Phe(19)-Phe(20) degraded to short intermediates then to amino acids by aminopeptidase and/or carboxypeptidase activities. Also, full-length Abetas were clipped at the carboxyl(C)-terminal region. On the other hand, BH cleaved at only the His(14)-Gln(15) bond in pbetaA(3-42) within a short period of the reaction by endopeptidase activity, and processed the intermediates in order by carboxypeptidase activity. On processing by BH, it found that both fibrillar Abeta(1-40) and Abeta(1-42) were more resistant than non-fibrillar peptides. These results indicate that the processing specificity of BH depends upon the structure and sequence of Abetas.

Amino Acid Sequence↗
PubMed2004

Only a small subset of the horizontally transferred chromosomal genes in Escherichia coli are translated into proteins.

Horizontally transferred genes are believed to play a critical role in the divergence of bacterial strains from a common ancestor, but whether all of these genes express functional proteins in the cell remains unknown. Here, we used an integrated LC-based protein identification technology to analyze the proteome of Escherichia coli strain K12 (JM109) and identified 1,480 expressed proteins, which are equivalent to approximately 35% of the total open reading frames predicted in the genome. This subset contained proteins with cellular abundance of several dozens to hundreds of thousands of copies, and included nearly all types of proteins in terms of chemical characteristics, subcellular distribution, and function. Interestingly, the subset also contained 138 of 164 gene products that are currently known to be essential for bacterial viability (84% coverage). However, the subset contained only a very small population (10%) of protein products from genes mapped within K-loops, which are "hot spots" for the integration of foreign DNAs within the K12 genome. On the other hand, these genes in K-loops appeared to be transcribed to RNAs almost as efficiently as the native genes in the bacterial cell as monitored by DNA microarray analysis, raising the possibility that most of the recently acquired foreign genes are inadequate for the translational machinery for the native genes and do not generate functional proteins within the cell.

Bacterial Proteins↗
PubMed2004

Demonstration of a role for alpha-synuclein as a functional microtubule-associated protein.

Alpha-synuclein is a major constituent of pathological intracellular inclusion bodies, a common feature of several neurodegenerative diseases. Two missense mutations in the alpha-synuclein gene have been identified in confirmed autosomal-dominant familial Parkinson's disease, which segregate with the illness. However, the physiological function of alpha-synuclein remains unknown. After biochemical investigations we have revealed tubulin to be an alpha-synuclein associated/binding protein. Here, we show that alpha-synuclein induces polymerization of purified tubulin into microtubules. Mutant forms of alpha-synuclein lose this potential. The binding site of alpha-synuclein to tubulin is identified, and co-localization of alpha-synuclein with microtubules is shown in cultured cells. To our knowledge, this is the first demonstration of microtubule-polymerizing activity of alpha-synuclein. Now we can see a striking resemblance between alpha-synuclein and tau: both have the same physiological function and pathological features, making abnormal structures in diseased brains known as synucleinopathies and tauopathies. The discovery of a physiological role for alpha-synuclein may provide a new dimension in researches into the mechanisms of alpha-synuclein-associated neurodegenerative diseases.

Alcohol Oxidoreductases↗
PubMed2003

Lectin affinity capture, isotope-coded tagging and mass spectrometry to identify N-linked glycoproteins.

We describe here a strategy for the large-scale identification of N-glycosylated proteins from a complex biological sample. The approach, termed isotope-coded glycosylation-site-specific tagging (IGOT), is based on the lectin column-mediated affinity capture of a set of glycopeptides generated by tryptic digestion of protein mixtures, followed by peptide-N-glycosidase-mediated incorporation of a stable isotope tag, 18O, specifically into the N-glycosylation site. The 18O-tagged peptides are then identified by multi-dimensional liquid chromatography-mass spectrometry (LC-MS)-based technology. The application of this method to the characterization of N-linked high-mannose and/or hybrid-type glycoproteins from an extract of Caenorhabditis elegans proteins allowed the identification of 250 glycoproteins, including 83 putative transmembrane proteins, with the simultaneous determination of 400 unique N-glycosylation sites. Because the method is applicable to the systematic identification of a wide range of glycoproteins, it should facilitate basic glycobiology research and may be useful for diagnostic applications, such as genome-wide screening for disease-related glycoproteins.

Caenorhabditis elegans Proteins↗
PubMed2003

Protein database of Caenorhabditis elegans.

Whole genome sequencing of the free-living nematode Caenorhabditis elegans is a prominent achievement in genomics and uncovers the existence of enormous known and unknown gene products. Characterization and linking of all gene products are the next challenging theme of biology. Genome-wide researches are already progressing on C. elegans and the fruits of these efforts are accessible through the internet. To link the sequence-function relationship, proteomic research has been applied to provide comprehensive information of the worm proteins. In addition to 2-dimensional gel electrophoresis for visualization of the proteome, recent advances in liquid chromatography (LC)-based technologies have allowed the large-scale analysis of proteins and are at cutting-edge of high-throughput analysis of focused proteome.

Animals↗
PubMed2003

Proteomics: advanced technology for the analysis of cellular function.

Proteomics developed initially from the decade-long study of comprehensive protein visualization on two-dimensional electrophoresis gels has been expanded by mass spectrometry and the growth in searchable sequence databases. Currently, by use of more sophisticated technology such as a combination of multidimensional chromatography and mass spectrometry, thousands of proteins can automatically be identified in a day along with semiquantitative information on differential-protein expression. As with differential gene expression by cDNA-chips, the differential-protein analysis is useful for monitoring and identifying proteins involved in various physiological changes in cells or organisms, although the analysis alone does not necessarily provide information regarding the cause of the change or the function of the proteins. However, proteomics also provides the tools to expand into more sophisticated biochemical approaches, such as the study of protein interactions that can be determined directly by performing a pull-down assay with a bait protein followed by mass spectrometric identification of the bound proteins. Proteomics, thus, is useful for both large-scale surveys of proteins and detailed studies of the functional relationships among the proteins of interest. Certainly this approach can be applicable to the assessment of amino acid adequacy and safety.

Animals↗
PubMed2002

Affinity capturing and gene assignment of soluble glycoproteins produced by the nematode Caenorhabditis elegans.

Protein glycosylation is a central issue for post-genomic (proteomic) sciences. We have taken a systematic approach for analyzing soluble glycoproteins produced in the nematode Caenorhabditis elegans. The approach aims at assigning (i) genes that encode glycoproteins, (ii) sites where glycosylation occurs, and (iii) types of attached glycan structures. A soluble extract of C. elegans, as a starting material, was applied first to a concanavalin A (ConA) column (specific for high-mannose type N-glycans), and then the flow-through fraction was applied to a galectin LEC-6 (GaL6) column (specific for complex-type N-glycans). The adsorbed glycoproteins were digested with lysylendopeptidase, and the resultant glycopeptides were selectively recaptured with the same lectin columns. The glycopeptides were separated by reversed-phase chromatography and then subjected to sequence determination. As a result, 44 and 23 glycopeptides captured by the ConA and GaL6 columns, respectively, were successfully analyzed and assigned to 32 and 16 corresponding genes, respectively. For these glycopeptides, 49 N-glycosylation sites were experimentally confirmed, whereas 21 sites remained as potential sites. Of the identified genes, about 80% had apparent homologues in other species, as represented by typical secreted proteins. However, the two sets of genes assigned for the ConA and GaL6-recognized glycopeptides showed only 1 overlap with each other. Proof of the practical applicability of the glyco-catch method to a model organism, C. elegans, directs us to explore more complex multicellular organisms.

Adsorption↗
PubMed2001

Tubulin seeds alpha-synuclein fibril formation.

Increasing evidence suggests that alpha-synuclein is a common pathogenic molecule in several neurodegenerative diseases, particularly in Parkinson's disease. To understand alpha-synuclein pathology, we investigated molecules that interact with alpha-synuclein in human and rat brains and identified tubulin as an alpha-synuclein binding/associated protein. Tubulin co-localized with alpha-synuclein in Lewy bodies and other alpha-synuclein-positive pathological structures. Tubulin initiated and promoted alpha-synuclein fibril formation under physiological conditions in vitro. These findings suggest that an interaction between tubulin and alpha-synuclein might accelerate alpha-synuclein aggregation in diseased brains, leading to the formation of Lewy bodies.

Amino Acid Sequence↗
PubMed2001

Limited proteolysis of NACP/alpha-synuclein.

The NAC region of NACP/alpha-synuclein is a secondary component of Alzheimer's disease amyloid. alpha-Synuclein is a major component of Lewy bodies, a typical neuropathological feature of Parkinson's disease. However, the physiological role and deposition mechanisms of alpha-synuclein are unknown. Structural analyses of alpha-synuclein should provide a better understanding of its biochemical characteristics. We investigated the digestion of alpha-synuclein withalpha-chymotrypsin and cathepsin D, which are reported to be involved in amyloidogenesis, under various conditions in vitro. There are many putative cleavage sites for these enzymes in alpha-synuclein, including in the NAC region. However, most of the predicted sites remained undigested, and the NAC region was found to be intact even after extensive digestion. This peculiar characteristic of alpha-synuclein may be relevant to the abnormal deposition of this molecule in alpha-synuclein-associated neurodegenerative diseases.

Journal Article↗
PubMedDate not supplied

Large-scale identification of Caenorhabditis elegans proteins by multidimensional liquid chromatography-tandem mass spectrometry.

A proteome of a model organism, Caenorhabditis elegans, was analyzed by an integrated liquid chromatography (LC)-based protein identification system, which was constructed by microscale two-dimensional liquid chromatography (2DLC) coupled with electrospray ionization (ESI) tandem mass spectrometry (MS/MS) on a high-resolution hybrid mass spectrometer with an automated data analysis system. Soluble and insoluble protein fractions were prepared from a mixed growth phase culture of the worm C. elegans, digested with trypsin, and fractionated separately on the 2DLC system. The separated peptides were directly analyzed by on-line ESI-MS/MS in a data-dependent mode, and the resultant spectral data were automatically processed to search a genome sequence database, wormpep 66, for protein identification. The total number of proteins of the composite proteome identified in this method was 1,616, including 110 secreted/targeted proteins and 242 transmembrane proteins. The codon adaptation indices of the identified proteins suggested that the system could identify proteins of relatively low abundance, which are difficult to identify by conventional 2D-gel electrophoresis (GE) followed by an offline mass spectrometric analysis such as peptide mass fingerprinting. Among the approximately 5,400 peptides assigned in this study, many peptides with post-translational modifications, such as N-terminal acetylation and phosphorylation, were detected. This expression profile of C. elegans, containing 571 hypothetical gene products, will serve as the basic data of a major proteome set expressed in the worm.

Animals↗
PubMedDate not supplied

STEM: a software tool for large-scale proteomic data analyses.

We describe the software, STEM (STrategic Extractor for Mascot's results), which efficiently processes large-scale mass spectrometry-based proteomics data. V (View)-mode evaluates the Mascot peptide identification dataset, removes unreliable candidates and redundant assignments, and integrates the results with key information in the experiment. C (Comparison)-mode compares peptide coverage among multiple datasets and displays proteins commonly/specifically found therein, and processes data for quantitative studies that utilize conventional isotope tags or tags having a smaller mass difference. STEM significantly improves throughput of proteomics study.

Algorithms↗