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PubMed2005

Global detection and characterization of hypothetical proteins in Shewanella oneidensis MR-1 using LC-MS based proteomics.

The availability of whole genome sequences has enabled the application of powerful tools for assaying global expression patterns in environmentally relevant bacteria such as Shewanella oneidensis MR-1. A large number of genes in prokaryote genomes, including MR-1, have been annotated as hypothetical, indicating that no similar protein has yet been identified in other organisms. Using high-sensitivity MS coupled with accurate mass and time (AMT) tag methodology, 1078 tryptic peptides were collectively detected in MR-1 cultures, 671 of which were unique to their parent protein. Using only these unique tryptic peptides and a minimum of two peptides per protein, we identified, with high confidence, the expression of 258 hypothetical proteins. These proteins ranged from 3.5 to 139 kDa, with 47 being 100 amino acid residues or less. Using a combination of information including detection in cells grown under specific culture conditions, presence within a specific cell fraction, and predictive algorithms such as PSORT and PSORT-B, possible/plausible functions are proposed for some hypothetical proteins. Further, by applying this approach a number of proteins were found not only to be expressed, but only expressed under certain culturing conditions, thereby suggesting function while at the same time isolating several proteins to distinct locales of the cell. These results demonstrate the utility of the AMT tag methodology for comprehensive profiling of the microbial proteome while confirming the expression of a large number of hypothetical genes.

Algorithms↗
PubMed2004

Dynamic integration of gene annotation and its application to microarray analysis.

Comprehensive and structured annotations for all genes on a microarray chip are essential for the interpretation of its expression data. Currently, most chip gene annotations are one-line free text descriptions that are often partial, outdated and unsuitable for large-scale data analysis. Therefore the interpretation of microarray gene expression clusters is often limited. Although researchers can manually navigate a collection of databases for better annotations, it is only practical for limited number of genes. Existing meta-databases fail to provide comprehensive categorized annotations for hundreds of genes simultaneously. We have developed an automatic system to address this issue. GeneView system monitors various data sources, extracts gene information from a source whenever it is updated, comprehensively matches genes, and integrates them into a central database by categories, such as pathway, genetic mapping, phenotype, expression profile, domain structure, protein interaction, disease association, and references. The system consists of four major components: (1) relational database; (2) data processing; (3) user curation; (4) data query. We evaluated it by analyzing genes on cDNA and Affymetrix Oligo chips. In both cases, the system provided more accurate and comprehensive information than those provided by the vendors or the chip users, and helped identify new common functions among genes in the same expression clusters.

Cluster Analysis↗
PubMed2004

KNUCKLES (KNU) encodes a C2H2 zinc-finger protein that regulates development of basal pattern elements of the Arabidopsis gynoecium.

Flowers of the parthenocarpic knuckles mutant are conditionally male sterile and contain ectopic stamens and carpels that originate from placental tissue within developing gynoecia. The mutation was mapped to a 123 Kb interval on chromosome 5 using molecular markers. All aspects of the knuckles phenotype could be complemented by a genomic fragment from the region which contained the annotated MAC12.2 gene. A guanine to adenine transition within a predicted C2H2 zinc finger-encoding region of MAC12.2 causes the second of two critical zinc-binding cysteine residues to be replaced by a tyrosine. Transgenic plants in which translational fusions of the GUS reporter to KNUCKLES were driven by the presumptive KNUCKLES promoter indicate that the gene is expressed first in developing carpel primordia, and later in stamens and ovules of flower buds. In situ hybridization experiments showed a broader pattern of transcript localization, suggesting that post-transcriptional regulatory mechanisms may limit KNUCKLES protein accumulation and localization. Based on genetic evidence and the presence of a carboxy-terminal motif demonstrated by others to function as an active repression domain, we propose that KNUCKLES might function as a transcriptional repressor of cellular proliferation that regulates floral determinacy and relative size of basal pattern elements along the proximo-distal axis of the developing Arabidopsis gynoecium.

Amino Acid Sequence↗
PubMed2026

[Effects and mechanisms of ethanol extract of Salvia miltiorrhiza on liver fibrosis in mice].

To identify clinically advantageous TCMs for anti-hepatic fibrosis and to elucidate the effects and molecular mechanisms of Salvia miltiorrhiza ethanol extract in the intervention of liver fibrosis, this study screened high-frequency anti-hepatic fibrosis TCMs through a review of clinical literature. The S. miltiorrhiza active components, potential targets, and liver fibrosis-related disease targets were obtained using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), the GeneCards database, and other databases. Gene Ontology(GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses were performed on the shared targets between drugs and diseases. Molecular docking was conducted to evaluate the binding affinities between key components and core targets. In animal experiments, male Kunming mice were used to establish a liver fibrosis model induced by carbon tetrachloride(CCl_4). The mice were administered low, medium, and high doses of S. miltiorrhiza ethanol extract by gavage. The liver index, as well as serum aspartate aminotransferase(AST) and alanine aminotransferase(ALT) levels, were measured. Histopathological changes in liver tissue were observed using hematoxylin-eosin(HE) staining and Masson's trichrome staining. Western blot analysis was used to detect the protein expression levels of α-smooth muscle actin(α-SMA), Collagen Ⅰ, and heat shock protein 90 alpha family class A member 1(HSP90AA1) in liver tissue. The results showed that S. miltiorrhiza was the most frequently used TCM in clinical anti-hepatic fibrosis. A total of 65 active components and 135 potential targets were identified, and 109 common targets were obtained by intersecting these with liver fibrosis-related targets. The core targets included tumor protein p53(TP53), serine/threonine protein kinase AKT1(AKT1), Jun proto-oncogene(JUN), signal transducer and activator of transcription 3(STAT3), and HSP90AA1, which were mainly enriched in pathways related to cancer, hepatitis B, and the PI3K-AKT signaling pathway. Molecular docking indicated that the main active components of S. miltiorrhiza bound stably to the core targets, with the strongest binding affinity observed for HSP90AA1. Animal experiments demonstrated that the liver index, serum ALT and AST levels, and the expression of α-SMA, Collagen Ⅰ, and HSP90AA1 in liver tissue were significantly increased in the model group, accompanied by obvious pathological manifestations of fibrosis. Compared with the model group, different dose groups of S. miltiorrhiza ethanol extract reduced the liver index and serum ALT and AST levels to varying degrees, alleviated pathological damage and collagen deposition in liver tissue, and downregulated the protein expression of α-SMA, Collagen Ⅰ, and HSP90AA1. In conclusion, S. miltiorrhiza ethanol extract exerts a significant protective effect on CCl_4-induced liver fibrosis in mice, and its mechanisms may be related to the inhibition of HSP90AA1 expression and the regulation of liver fibrosis-related signaling pathways.

Animals↗
PubMed2005

Characterization of OEBT, a LIM protein.

LIM Proteins have been demonstrated to play key roles in pattern formation during embryonic development, cell lineage determination, and cancer differentiation. These proteins are characterized by their conserved LIM domain, which functions as a specific protein-binding site. Recently, two new members of the LIM protein family, PRICKLE1 and PRICKLE2, were characterized in silico and demonstrated to be human orthologues of the Drosophila prickle proteins. We report on an additional member of this protein family, overexpressed breast tumor protein (OEBT). The corresponding gene was mapped to human chromosome 6p22.31. Orthologues in mouse and rat with 72 and 54% identities on a protein level were identified and the corresponding genes were mapped to mouse chromosome 17 and rat chromosome 9. The protein displays two LIM domains, as well as a PET domain, and was predicted to be localized in the nucleus. Expression of human OEBT was analyzed in silico, and the corresponding RNA was annotated to be highly expressed in a broad range of tissues. ESTs from several malignant tissue differentiations point towards a possible role of OEBT in cancer differentiation.

Adaptor Proteins, Signal Transducing↗
PubMed2004

Structure and regulation of human troponin genes.

The recent completion of a first draft of the human genome has allowed "in silico" genome browsing to become routine. Such computer-based research is now a useful adjunct to experiments based at the bench, and is accelerating gene discovery and the analysis and understanding of genes in their genomic contexts. This review summarises recent findings on genes encoding proteins of the troponin complex. We describe the organization of the three pairs of genes which encode isoforms of troponins I and T, and discuss how this relates to their evolution and regulation. Detailed analysis of the chromosomal context of the cardiac troponin I and slow skeletal troponin T genes reveals a region of densely packed differentially expressed genes, including new genes identified by automatic genome annotation. This information is discussed within the context of detailed analysis of the best-studied gene in this region, cardiac troponin I. In this way, we illustrate the uses to which a combination of conventional bench experiments and "in silico" analyses may be put in understanding the relationship between structure and function within the genome.

Animals↗
PubMed2002

Gene3D: structural assignment for whole genes and genomes using the CATH domain structure database.

We present a novel web-based resource, Gene3D, of precalculated structural assignments to gene sequences and whole genomes. This resource assigns structural domains from the CATH database to whole genes and links these to their curated functional and structural annotations within the CATH domain structure database, the functional Dictionary of Homologous Superfamilies (DHS) and PDBsum. Currently Gene3D provides annotation for 36 complete genomes (two eukaryotes, six archaea, and 28 bacteria). On average, between 30% and 40% of the genes of a given genome can be structurally annotated. Matches to structural domains are found using the profile-based method (PSI-BLAST). and a novel protocol, DRange, is used to resolve conflicts in matches involving different homologous superfamilies.

Animals↗
PubMed2005

Plasmid p256 from Lactobacillus plantarum represents a new type of replicon in lactic acid bacteria, and contains a toxin-antitoxin-like plasmid maintenance system.

Lactobacillus plantarum NC7 harbours a single 7.2 kb plasmid called p256. This report describes the complete nucleotide sequence and annotation of p256, as well as the identification of the minimal replicon of the plasmid. Based on sequence features in the unusually small (0.7 kb) minimal replicon, and the absence of a gene for a replication-relevant protein, p256 seems to represent a hitherto unknown type of theta replicon in lactic acid bacteria (LAB), with a relatively low copy-number. In addition, a putative toxin-antitoxin (TA) locus was identified. Experiments with variants of p256 indicated that the TA system was involved in plasmid maintenance. Furthermore, controlled expression of the TA genes stabilized vectors derived from the p256 replicon. To the authors' knowledge, this is the first time a TA locus with a demonstrated plasmid maintenance function has been identified in LAB. Transformation of several LAB with plasmids derived from p256 indicated that it has a narrow host range. Several effective expression vectors based on the p256 replicon have been constructed.

Amino Acid Sequence↗
PubMed2006

Analysis of the first genome fragment from the marine sponge-associated, novel candidate phylum Poribacteria by environmental genomics.

The novel candidate phylum Poribacteria is specifically associated with several marine demosponge genera. Because no representatives of Poribacteria have been cultivated, an environmental genomic approach was used to gain insights into genomic properties and possibly physiological/functional features of this elusive candidate division. In a large-insert library harbouring an estimated 1.1 Gb of microbial community DNA from Aplysina aerophoba, a Poribacteria-positive 16S rRNA gene locus was identified. Sequencing and sequence annotation of the 39 kb size insert revealed 27 open reading frames (ORFs) and two genes for stable RNAs. The fragment exhibited an overall G+C content of 50.5% and a coding density of 86.1%. The 16S rRNA gene was unlinked from a conventional rrn operon. Its flanking regions did not show any synteny to other 16S rRNA encoding loci from microorganisms with unlinked rrn operons. Two of the predicted hypothetical proteins were highly similar to homologues from Rhodopirellula baltica. Furthermore, a novel kind of molybdenum containing oxidoreductase was predicted as well as a series of eight ORFs encoding for unusual transporters, channel or pore forming proteins. This environmental genomics approach provides, for the first time, genomic and, by inference, functional information on the so far uncultivated, sponge-associated candidate division Poribacteria.

Animals↗
PubMed2004

What can we learn from noncoding regions of similarity between genomes?

BACKGROUND: In addition to known protein-coding genes, large amounts of apparently non-coding sequence are conserved between the human and mouse genomes. It seems reasonable to assume that these conserved regions are more likely to contain functional elements than less-conserved portions of the genome. METHODS: Here we used a motif-oriented machine learning method based on the Relevance Vector Machine algorithm to extract the strongest signal from a set of non-coding conserved sequences. RESULTS: We successfully fitted models to reflect the non-coding sequences, and showed that the results were quite consistent for repeated training runs. Using the learned models to scan genomic sequence, we found that they often made predictions close to the start of annotated genes. We compared this method with other published promoter-prediction systems, and showed that the set of promoters which are detected by this method is substantially similar to that detected by existing methods. CONCLUSIONS: The results presented here indicate that the promoter signal is the strongest single motif-based signal in the non-coding functional fraction of the genome. They also lend support to the belief that there exists a substantial subset of promoter regions which share several common features including, but not restricted to, a relative abundance of CpG dinucleotides. This subset is detectable by a variety of distinct computational methods.

Animals↗
PubMed2003

Profiling of temperature-induced changes in Borrelia burgdorferi gene expression by using whole genome arrays.

Borrelia burgdorferi is the etiologic agent of Lyme disease, the most prevalent arthropod-borne disease in the United States. The genome of the type strain, B31, consists of a 910,725-bp linear chromosome and 21 linear and circular plasmids comprising 610,694 bp. During its life cycle, the spirochete exists in distinctly different environments, cycling between a tick vector and a mammalian host. Temperature is one environmental factor known to affect B. burgdorferi gene expression. To identify temperature-responsive genes, genome arrays containing 1,662 putative B. burgdorferi open reading frames (ORFs) were prepared on nylon membranes and employed to assess gene expression in B. burgdorferi B31 grown at 23 and 35 degrees C. Differences in expression of more than 3.5 orders of magnitude could be readily discerned and quantitated. At least minimal expression from 91% of the arrayed ORFs could be detected. A total of 215 ORFs were differentially expressed at the two temperatures; 133 were expressed at significantly greater levels at 35 degrees C, and 82 were more significantly expressed at 23 degrees C. Of these 215 ORFs, 134 are characterized as genes of unknown function. One hundred thirty-six (63%) of the differentially expressed genes are plasmid encoded. Of particular interest is plasmid lp54 which contains 76 annotated putative genes; 31 of these exhibit temperature-regulated expression. These findings underscore the important role plasmid-encoded genes may play in adjustment of B. burgdorferi to growth under diverse environmental conditions.

Animals↗
PubMed2002

Comprehensive proteomic analysis of breast cancer cell membranes reveals unique proteins with potential roles in clinical cancer.

Proteins associated with cancer cell plasma membranes are rich in known drug and antibody targets as well as other proteins known to play key roles in the abnormal signal transduction processes required for carcinogenesis. We describe here a proteomics process that comprehensively annotates the protein content of breast tumor cell membranes and defines the clinical relevance of such proteins. Tumor-derived cell lines were used to ensure an enrichment for cancer cell-specific plasma membrane proteins because it is difficult to purify cancer cells and then obtain good membrane preparations from clinical material. Multiple cell lines with different molecular pathologies were used to represent the clinical heterogeneity of breast cancer. Peptide tandem mass spectra were searched against a comprehensive data base containing known and conceptual proteins derived from many public data bases including the draft human genome sequences. This plasma membrane-enriched proteome analysis created a data base of more than 500 breast cancer cell line proteins, 27% of which were of unknown function. The value of our approach is demonstrated by further detailed analyses of three previously uncharacterized proteins whose clinical relevance has been defined by their unique cancer expression profiles and the identification of protein-binding partners that elucidate potential functionality in cancer.

Amino Acid Sequence↗
PubMedDate not supplied

Genome-wide analysis of the globin gene family of C. elegans.

The aim of our study was to annotate sequences for 35 putative globins from the nematode Caenorhabditis elegans. All these proteins are expressed, but seven of these differ from the gene predictions in Wormbase. The entire polypeptide sequences for 31 genes and the core globin domain of four proteins were confirmed or corrected. All core globin domains were aligned manually following a procedure that was designed to fit the putative sequences to the crystal structure based alignment of 56 known globin crystal structures. Neighbor-joining analysis of the resulting alignment showed that the majority of these globins are very divergent from each other, possibly suggesting a long evolutionary divergence. The surprisingly high number and low sequence conservation of putative globins in this small organism urges a detailed functional analysis.

Animals↗
PubMed2025

Whole genome sequence-based association analysis of African American individuals with bipolar disorder and schizophrenia.

In studies of individuals of primarily European genetic ancestry, common and low-frequency variants and rare coding variants have been found to be associated with the risk of bipolar disorder (BD) and schizophrenia (SZ). However, less is known for individuals of other genetic ancestries or the role of rare non-coding variants in BD and SZ risk. We performed whole genome sequencing of African American individuals: 1,598 with BD, 3,295 with SZ, and 2,651 unaffected controls (InPSYght study). We increased power by incorporating 14,812 jointly called psychiatrically unscreened ancestry-matched controls from the Trans-Omics for Precision Medicine (TOPMed) Program for a total of 17,463 controls. To identify variants and sets of variants associated with BD and/or SZ, we performed single-variant tests, gene-based tests for singleton protein truncating variants, and rare and low-frequency variant annotation-based tests with conservation and universal chromatin states and sliding windows. We found suggestive evidence of BD association with single-variants on chromosome 18 and of lower BD risk associated with rare and low-frequency variants on chromosome 11 in a region with multiple BD GWAS loci, using a sliding window approach. We also found that chromatin and conservation state tests can be used to detect differential calling of variants in controls sequenced at different centers and to assess the effectiveness of sequencing metric covariate adjustments. Our findings reinforce the need for continued whole genome sequencing in additional samples of African American individuals and more comprehensive functional annotation of non-coding variants.

Journal Article↗
PubMed2005

Temporal gene expression profiling of liver from periparturient dairy cows reveals complex adaptive mechanisms in hepatic function.

Long-term molecular adaptations in liver from high-producing dairy cows are virtually unknown. Liver from five Holstein cows was biopsied at -65, -30, -14, +1, +14, +28, and +49 days relative to parturition for transcript profiling using a microarray consisting of 7,872 annotated cattle cDNA inserts. More than 5,000 cDNA elements represented on the microarray were expressed in liver. From this set we identified 62 differentially expressed genes related to physiological state, with a false discovery rate threshold of P = 0.20. The dominant expression pattern consisted of upregulation from day -30 through day +1, followed by downregulation through day +28. There was a threefold decrease from day -65 through day +14 in expression of IGFBP3, GSTM5, and PDPK1. These genes mediate IGF-I transport, oxidative stress, and glucose homeostasis, respectively. IGFBP3, EIF4B, and GSTM5 mRNA levels were positively correlated with blood serum total protein. Correlation analysis showed positive associations between serum nonesterified fatty acids and mRNA expression for SAA1, CPT1A, ACADVL, and TFAP2A. Transcript levels of ACSL1, PPARA, and TFAP2A were positively correlated with serum beta-hydroxybutyrate. Expression patterns for certain genes (e.g., IGFBP3, HNF4A, GPAM) revealed adaptations commencing well ahead of parturition, suggesting they are regulated by factors other than periparturient hormonal environment. Results provide evidence that hepatic inflammatory responses occurring near parturition initiate or augment adipose catabolism. In this context, cytokines, acute-phase proteins, and serum nonesterified fatty acids are key players in periparturient cow metabolism. We propose a model for integrating gene expression, metabolite, and liver composition data to explain physiological events in placenta, adipose, and liver during the periparturient period.

Adaptation, Physiological↗
PubMed2006

Cholesterol loading augments oxidative stress in macrophages.

To investigate the molecular consequence of loading free cholesterol into macrophages, we conducted a large-scale gene expression study to analyze acetylated-LDL-laden foam cells (AFC) and oxidized-LDL-laden foam cells (OFC) induced from human THP-1 cell lines. Cluster analysis was performed using 9600-gene microarray datasets from time course experiment. AFC and OFC shared common expression profiles; however, there were sufficient differences between these two treatments that AFC and OFC appealed as two separate entities. We identified 80 commonly upregulated genes and 48 commonly downregulated genes in AFC and OFC. Functional annotation of the differentially expressed genes indicated that apoptosis, extracellular matrix, oxidative stress, and cell proliferation was deregulated. We also identified 87 differentially expressed genes unique for AFC and 31 genes for OFC. The uniquely expressed genes of AFC are associated with kinase activity, ATP binding activity, and transporter activity, while unique genes for OFC are associated with cell signaling and adhesion. To validate the hypothesis that oxidative stress is a common feature for AFC and OFC, we performed a cluster analysis employing the genes related to oxidative stress, but we were unable to distinguish AFC from OFC in this manner. We performed real-time RT-PCR and ELISA on foam cells to examine the transcripts and secreted protein of interleukin 1 beta (IL1beta). IL1beta was rapidly induced in foam cells, but for AFC both RNA level and protein level dropped immediately and was attenuated. To detect levels of reactive oxygen species in foam cells we conducted hydroethidine staining and observed high levels of superoxide anion. We conclude that loading free cholesterol induces high levels of superoxide anion, increases oxidative stress, and triggers a transient inflammatory response in macrophages.

Cell Line↗
PubMed2005

Knowledge guided analysis of microarray data.

To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this paper, Gene Ontology is introduced to guide the clustering process, and thus a new algorithm capturing both expression pattern similarities and biological function similarities is developed. Our algorithm was validated on two well-known public data sets and the results were compared with some previous works. It is shown that our method has advantages in both the quality of clusters and the precision of biological annotations. Furthermore, the clustering results can be adjusted according to different stringency requirements. It is expected that our algorithm can be extended to other biological knowledge, for example, metabolic networks.

Algorithms↗
PubMed2000

The molecular evolution of signal peptides.

Signal peptides direct mature peptides to their appropriate cellular location, after which they are cleaved off. Very many random alternatives can serve the same function. Of all coding sequences, therefore, signal peptides might come closest to being neutrally evolving. Here we consider this issue by examining the molecular evolution of 76 mouse-rat orthologues, each with defined signal peptides. Although they do evolve rapidly, they evolve about half as fast as neutral sequences. This indicates that a substantial proportion of mutations must be under stabilizing selection. A few putative signal sequences lack a hydrophobic core and these tend to be more slowly evolving than others, indicating even stronger stabilizing selection. However, closer scrutiny suggests that some of these represent mis-annotations in GenBank. It is also likely that some of the substitutions are not neutral. We find, for example, that the rate of protein evolution correlates with that of the mature peptide. This may be a result of compensatory evolution. We also find that signal peptides of immune genes tend to be faster evolving than the average, which suggests an association with antagonistic co-evolution. Previous reports also indicated that the signal peptide of the imprinted gene, Igf2r, is also unusually fast evolving. This, it was hypothesized, might also be indicative of antagonistic co-evolution. Comparison of Igf2r's signal peptide evolution shows that, although it is not an outlier, its rate of evolution is comparable to that of many of the faster evolving immune system signal sequences and 5/6 of the amino acid changes do not conserve hydrophobicity. This is at least suggestive that there is something unusual about Igf2r's signal sequence.

Amino Acid Substitution↗