Biomedical subjects

Tao Xie

Publications and source records attributed to Tao Xie.

32 records · Page 2Linked to original sources

PubMed2003

Proteomic analysis of human prostasomes.

BACKGROUND: Prostasomes are secretory particles in human seminal fluid. Other than a microscopic description of these secretory particles and an incomplete two-dimensional gel electrophoresis (2DE) study, little is known about the composition of proteins in prostasomes. METHODS: We employed a direct iterative approach using Gas phase fractionation and microcapillary HPLC-tandem mass spectrometry (microLC-MS/MS) to catalogue the prostasome proteome. RESULTS: We identified 139 proteins that can be divided into the following categories: (1). enzymes (33.8% of total), (2). transport/structural (19.4% of total), (3). GTP proteins (14.4% of total), (4). chaperone proteins (5.8% of total), (5). signal transduction proteins (17.3% of total), and (6). unannotated proteins (9.4% of total). A total of 128 of the 139 proteins have not previously been described as prostasomal. CONCLUSIONS: The proteins identified can be used as reference dataset in future work comparing prostasome proteins between normal and pathological states such as prostate cancer, benign prostatic hyperplasia, prostatitis, and infertility.

Enzymes↗

PubMed2003

ACGT-a comparative genomics tool.

SUMMARY: ACGT (a comparative genomics tool) is a genomic DNA sequence comparison viewer and analyzer. It can read a pair of DNA sequences in GenBank, Embl or Fasta formats, with or without a comparison file, and provide users with many options to view and analyze the similarities between the input sequences. It is written in Java and can be run on Unix, Linux and Windows platforms. AVAILABILITY: The ACGT program is freely available with documentation and examples at website: http://db.systemsbiology.net/projects/local/mhc/acgt/

Computer Graphics↗

PubMed2003

Analysis of the gene-dense major histocompatibility complex class III region and its comparison to mouse.

In mammals, the Major Histocompatibility Complex class I and II gene clusters are separated by an approximately 700-kb stretch of sequence called the MHC class III region, which has been associated with susceptibility to numerous diseases. To facilitate understanding of this medically important and architecturally interesting portion of the genome, we have sequenced and analyzed both the human and mouse class III regions. The cross-species comparison has facilitated the identification of 60 genes in human and 61 in mouse, including a potential RNA gene for which the introns are more conserved across species than the exons. Delineation of global organization, gene structure, alternative splice forms, protein similarities, and potential cis-regulatory elements leads to several conclusions: (1) The human MHC class III region is the most gene-dense region of the human genome: >14% of the sequence is coding, approximately 72% of the region is transcribed, and there is an average of 8.5 genes per 100 kb. (2) Gene sizes, number of exons, and intergenic distances are for the most part similar in both species, implying that interspersed repeats have had little impact in disrupting the tight organization of this densely packed set of genes. (3) The region contains a heterogeneous mixture of genes, only a few of which have a clearly defined and proven function. Although many of the genes are of ancient origin, some appear to exist only in mammals and fish, implying they might be specific to vertebrates. (4) Conserved noncoding sequences are found primarily in or near the 5'-UTR or the first intron of genes, and seldom in the intergenic regions. Many of these conserved blocks are likely to be cis-regulatory elements.

Alternative Splicing↗

PubMed2003

Initial proteome analysis of model microorganism Haemophilus influenzae strain Rd KW20.

The proteome of Haemophilus influenzae strain Rd KW20 was analyzed by liquid chromatography (LC) coupled with ion trap tandem mass spectrometry (MS/MS). This approach does not require a gel electrophoresis step and provides a rapidly developed snapshot of the proteome. In order to gain insight into the central metabolism of H. influenzae, cells were grown microaerobically and anaerobically in a rich medium and soluble and membrane proteins of strain Rd KW20 were proteolyzed with trypsin and directly examined by LC-MS/MS. Several different experimental and computational approaches were utilized to optimize the proteome coverage and to ensure statistically valid protein identification. Approximately 25% of all predicted proteins (open reading frames) of H. influenzae strain Rd KW20 were identified with high confidence, as their component peptides were unambiguously assigned to tandem mass spectra. Approximately 80% of the predicted ribosomal proteins were identified with high confidence, compared to the 33% of the predicted ribosomal proteins detected by previous two-dimensional gel electrophoresis studies. The results obtained in this study are generally consistent with those obtained from computational genome analysis, two-dimensional gel electrophoresis, and whole-genome transposon mutagenesis studies. At least 15 genes originally annotated as conserved hypothetical were found to encode expressed proteins. Two more proteins, previously annotated as predicted coding regions, were detected with high confidence; these proteins also have close homologs in related bacteria. The direct proteomics approach to studying protein expression in vivo reported here is a powerful method that is applicable to proteome analysis of any (micro)organism.

Aerobiosis↗

PubMed2003

[A novel approach for peptide identification by tandem mass spectrometry].

High throughput scoring algorithms that are used to find the match of a tandem mass spectrum to a predicted mass spectrum of a peptide within a database have been applied in shotgun proteomics. However, these algorithms could produce a significant number of incorrect peptide identifications. Here a novel approach was developed to scoring tandem mass spectra against a peptide database, in which fragment ion probabilities, number of enzymatic termini of candidate peptides, matching quality and match pattern between experimental and theoretical spectrum were considered. Benchmarking the novel scorer on a large set of experimental MS/MS spectra, it is demonstrated that PepSearch performs significantly better than the widely used software SEQUEST. The PepSearch software is available at http://compbio.sibsnet.org/projects/pepsearch.

Databases, Protein↗

PubMed2002

Elevated basal expression of liver peroxisomal beta-oxidation enzymes and CYP4A microsomal fatty acid omega-hydroxylase in STAT5b(-/-) mice: cross-talk in vivo between peroxisome proliferator-activated receptor and signal transducer and activator of transcription signaling pathways.

Long-term treatment of rodents with peroxisome proliferator chemicals, a group of structurally diverse nongenotoxic carcinogens, leads to liver cancer in a process dependent on the nuclear receptor peroxisome proliferator-activated receptor-alpha (PPARalpha). Previous in vitro studies have shown that growth hormone (GH) can inhibit PPARalpha-dependent gene expression by down-regulation of PPARalpha expression and by a novel inhibitory cross-talk involving the GH-activated transcription factor STAT5b. Presently, we evaluate the role of STAT5b in mediating these inhibitory actions of GH on PPAR function using a STATb-deficient mouse model. Protein levels of three PPARalpha-responsive peroxisomal beta-oxidation pathway enzymes (fatty acyl-CoA oxidase, 3-ketoacyl-CoA thiolase, and L-bifunctional enzyme) were increased up to two- to threefold in STAT5b(-/-) relative to wild-type control mouse liver, as was the basal expression of two PPARalpha-regulated cytochrome P450 4A proteins. In contrast, protein levels of two PPARalpha-unresponsive peroxisomal enzymes, catalase and urate oxidase, were not affected by the loss of STAT5b. A corresponding increase in expression of fatty acyl-CoA oxidase and L-bifunctional enzyme mRNA, as well as PPARalpha mRNA, was observed in the STAT5b-deficient mice, suggesting a transcriptional mechanism for the observed increases. Although basal liver expression of PPARalpha and its target genes was thus elevated in STAT5b(-/-) mice, the clofibrate-induced level of enzyme expression was unaffected, suggesting that the inhibitory effects of STAT5b are overcome at high concentrations of PPARalpha activators. These findings support the hypothesis that GH and potentially other endogenous activators of STAT5b help to maintain liver PPARalpha function at a low basal level and may thereby moderate PPARalpha-dependent hepatocarcinogenesis and other responses stimulated by exposure to low levels of environmental chemicals of the peroxisome proliferator class.

Acetyl-CoA C-Acyltransferase↗

PubMed2002

Differential gene expression profiling of adult murine hematopoietic stem cells.

Hematopoietic stem cells (HSCs) have self-renewal capacity and multilineage developmental potentials. The molecular mechanisms that control the self-renewal of HSCs are still largely unknown. Here, a systematic approach using bioinformatics and array hybridization techniques to analyze gene expression profiles in HSCs is described. To enrich mRNAs predominantly expressed in uncommitted cell lineages, 54 000 cDNA clones generated from a highly enriched population of HSCs and a mixed population of stem and early multipotent progenitor (MPP) cells were arrayed on nylon membranes (macroarray or high-density array), and subtracted with cDNA probes derived from mature lineage cells including spleen, thymus, and bone marrow. Five thousand cDNA clones with very low hybridization signals were selected for sequencing and further analysis using microarrays on glass slides. Two populations of cells, HSCs and MPP cells, were compared for differential gene expression using microarray analysis. HSCs have the ability to self-renew, while MPP cells have lost the capacity for self-renewal. A large number of genes that were differentially expressed by enriched populations of HSCs and MPP cells were identified. These included transcription factors, signaling molecules, and previously unknown genes.

Animals↗

PubMed2002

Changes in gene expression linked to methamphetamine-induced dopaminergic neurotoxicity.

The purpose of these studies was to examine the role of gene expression in methamphetamine (METH)-induced dopamine (DA) neurotoxicity. First, the effects of the mRNA synthesis inhibitor, actinomycin-D, and the protein synthesis inhibitor, cycloheximide, were examined. Both agents afforded complete protection against METH-induced DA neurotoxicity and did so independently of effects on core temperature, DA transporter function, or METH brain levels, suggesting that gene transcription and mRNA translation play a role in METH neurotoxicity. Next, microarray technology, in combination with an experimental approach designed to facilitate recognition of relevant gene expression patterns, was used to identify gene products linked to METH-induced DA neurotoxicity. This led to the identification of several genes in the ventral midbrain associated with the neurotoxic process, including genes for energy metabolism [cytochrome c oxidase subunit 1 (COX1), reduced nicotinamide adenine dinucleotide ubiquinone oxidoreductase chain 2, and phosphoglycerate mutase B], ion regulation (members of sodium/hydrogen exchanger and sodium/bile acid cotransporter family), signal transduction (adenylyl cyclase III), and cell differentiation and degeneration (N-myc downstream-regulated gene 3 and tau protein). Of these differentially expressed genes, we elected to further examine the increase in COX1 expression, because of data implicating energy utilization in METH neurotoxicity and the known role of COX1 in energy metabolism. On the basis of time course studies, Northern blot analyses, in situ hybridization results, and temperature studies, we now report that increased COX1 expression in the ventral midbrain is linked to METH-induced DA neuronal injury. The precise role of COX1 and other genes in METH neurotoxicity remains to be elucidated.

3,4-Dihydroxyphenylacetic Acid↗

PubMed2000

De Novo Interpretation of MS/MS Spectra and Protein Identification via Database Searching.

Peptide sequencing via tandem mass spectrometry(MS/MS)is one of the most powerful tools in proteomics to identify proteins. A new algorithm was developed for de novo interpretation of MS/MS spectra using graph theory and dynamic alignment between real spectra and theoretical spectra. The trustworthy peptides from de novo interpretation were used in protein identification via database searching. A high throughput statistical analysis of SwissProt and TrEMBL protein databases showed that it's enough to identify a protein in database with three sequence tags of four amino acid residues, two sequence tags of five amino acid residues or one sequence tag of eight amino acid residues.

Journal Article↗

PubMed2000

Conservation and Evolution of the "Core Apoptotic Engine" Lesson from the Genome Comparison of Drosophila.

Genome comparison is the main approach to deduce regulatory network from genome sequence. Apoptotic network is one kind of typical regulatory networks. EGL1, CED3, CED4, CED9 and their homologous proteins play essential roles in apoptosis of C.elegans and mammals, and were regarded as the components of the"core apoptotic engine". But in fruit fly, Drosophila melanogaster, this network is incomplete. A series of bioinformatic analyses found the lost chains of "core apoptotic engine" by discovering two homologues of BCL2/CED9 and one of EGL1 in fruit fly genome sequences. These findings proved that the "core apoptotic engine" is indeed widely conserved among multicellular organisms and the evolutionary complexity of this network of Drosophila is between that of C.elegans and mammals.

Journal Article↗

PubMed2000

Reconstruction of ABC Transporter Pathways of Archaea and Comparison of Their Genomes.

Reconstruction and comparison of metabolic pathway and regulatory network is an advanced task in genome function prediction. In this study, many bioinformatic tools were employed to reconstruct all ABC transporter pathways and predict their functional features of an archaeon, Pyrococcus abyssi, on genome scale. The comparison between ABC transporter pathways of P.abyssi and those of another archaeon, M.jannaschii, revealed that there was no peptide uptake ABC transporter system in M.jannaschii. This may result from their different metabolic types.

Journal Article↗

PubMed1999

The Relationship between Yeast Coexpressed Gene Clusters and Their Upstream cis-acting Elements.

DNA microarrays bring biology a new approach to study functions of genes and genomes from their expression pattern on a genomic scale. With its fully sequenced genome and newly published expression patterns available, budding yeast (Saccharomyces cerevisiae) was chosen to carry out an investigation of the relationship between gene 5' upstream cis-acting elements and expression patterns using bioinformatic tools. Results show that genes in the same cluster share common cis-acting element candidates and can be regulated by same transfactors. In the sites found by this study, some sites are corresponding to known cis-acting elements, while others may indicate new ones that can be tested by experiments. The results are helpful to understand more about gene functions, metabolic pathways and genetic networks.

Journal Article↗

PubMed1999

An Evolutionary Trace Method for Functional Prediction of Genomes.

It is essential for functional genomics to develop an accurate and efficient functional prediction method of genomes. Here, a new method is suggested, that is based on the fact that ortholog-specific motif is an evolutionary trace, in which the functional prediction of genomics is carried out. First, orthologous sets in a family were constructed using evolutionary analysis then functional motifs for each orthologous set were found out and a database consisted of these motifs was built. When this database is completed, unknown genes can be predicted accurately and quickly by searching it. The pilot study on five families proves that our method is feasible.

Journal Article↗

PubMed1999

The Feasibility of Using Proteome Expression Profile for Genome Annotation.

By investigating into the expression data from ECO2DBASE (Edition 6),the feasibility of using proteome expression profile for genome annotation was tested. Based on our newly developed CRC (cellular role cluster) method,79 proteins extracted from ECO2DBASE were clustered into 4 CRCs. Function related proteins tend to be clustered into same CRC. Total 9 aminoacyl-tRNA synthetases were clustered into CRC2, whereas 4 heat-shock proteins into CRC3. These results indicate with enough proteome expression data and the efficient algorithm, proteome expression profile can provide very important information for genome annotation, while this kind of information is sequence-independent.

Journal Article↗