Genetics and Genomics Commons^™

Trab: Testing Whether Mutation Frequencies Are Above An Unknown Background, Giovanni Parmigiani, Sining Chen, Victor E. Velculescu

Johns Hopkins University, Dept. of Biostatistics Working Papers

To rigorously determine whether a gene or a population of genes have alterations that are involved in carcinogenesis requires comparison of the prevalence of identified changes to the background mutation frequency present in tumor DNA. To facilitate this task, we develop a testing approach and the associated R library, called TRAB, that evaluates whether the frequency of somatic mutation is higher than an unknown, but estimable, background. We test the null hypothesis that the frequency belongs to background population of frequencies against the alternative hypothesis that the frequency is higher. Background mutation frequencies are themselves allowed to be variable. TRAB …

Genetic Protection Against Hepatitis B Virus Conferred By Ccr5Δ32: Evidence That Ccr5 Contributes To Viral Persistence, Chloe L. Thio, Jacquie Astemborski, Arman A. Bashirova, Timothy L. Mosbruger, Spencer Greer, Mallory D. Witt, James J. Goedert, Margaret Hilgartner, Audrey Majesk, Stephen J. O'Brien, David L. Thomas, Mary Carrington

Biology Faculty Articles

Recovery from acute hepatitis B virus (HBV) infection requires a broad, vigorous T-cell response, which is enhanced in mice when chemokine receptor 5 (CCR5) is missing. To test the hypothesis that production of a nonfunctional CCR5 (CCR5Δ32 [a functionally null allele containing a 32-bp deletion]) increases the likelihood of recovery from hepatitis B in humans, we studied 526 persons from three cohorts in which one person with HBV persistence was matched to two persons who recovered from an HBV infection. Recovery or persistence was determined prior to availability of lamivudine. We determined genotypes forCCR5Δ32 …

Optimized Cross-Study Analysis Of Microarray-Based Predictors, Xiaogang Zhong, Luigi Marchionni, Leslie Cope, Edwin S. Iversen, Elizabeth S. Garrett-Mayer, Edward Gabrielson, Giovanni Parmigiani

Johns Hopkins University, Dept. of Biostatistics Working Papers

Background: Microarray-based gene expression analysis is widely used in cancer research to discover molecular signatures for cancer classification and prediction. In addition to numerous independent profiling projects, a number of investigators have analyzed multiple published data sets for purposes of cross-study validation. However, the diverse microarray platforms and technical approaches make direct comparisons across studies difficult, and without means to identify aberrant data patterns, less than optimal. To address this issue, we previously developed an integrative correlation approach to systematically address agreement of gene expression measurements across studies, providing a basis for cross-study validation analysis. Here we generalize this methodology …

Improving Gsea For Analysis Of Biologic Pathways For Differential Gene Expression Across A Binary Phenotype , Irina Dinu, John D. Potter, Thomas Mueller, Qi Liu, Adeniyi J. Adewale, Gian S. Jhangri, Gunilla Einecke, Konrad S. Famulski, Philip Halloran, Yutaka Yasui

COBRA Preprint Series

Gene-set analysis evaluates the expression of biological pathways, or a priori defined gene sets, rather than that of single genes, in association with a binary phenotype, and is of great biologic interest in many DNA microarray studies. Gene Set Enrichment Analysis (GSEA) has been applied widely as a tool for gene-set analyses. We describe here some critical problems with GSEA and propose an alternative method by extending the single-gene analysis method, Significance Analysis of Microarray (SAM), to gene-set analyses (SAM-GS). Specifically, we illustrate, in a simulation study, that GSEA gives statistical significance to gene sets that have no gene associated …

Structure And Temperature Regulated Expression Of A Cysteine Proteinase Gene In Pachysandra Terminalis Sieb. & Zucc., Suping Zhou, Roger Sauve, Fur-Chi Chen

Agricultural and Environmental Sciences Faculty Research

A cysteine proteinase gene (DQ403257) with an open reading frame of 1125 base pairs was isolated from Pachysdandra terminalis. The primary translated peptide has a predicted length of 374 amino acids, pI (isoelectric point) of 5.70, and molecular mass of 40.9 kDa. The Peptidase_C1 domain is between residue 141 and 367. The proteinase has a conserved motif Gly-Xaa-Thy-Xaa-Phe-Xaa-Asn in the pro region. Sequence comparison shows that the deduced peptide shares 82% identity with the cysteine proteinase RD19a precursor (RD19) (accession P43296) from Arabidopsis thaliana (L.) Heynh. Real-time quantitative reverse-transcriptase–polymerase chain reaction revealed that the gene is induced by treatments of …

Strokes Of Existence: The Connection Of All Things, Mari Gorman

Graduate Student Publications and Research

Acted or real—and all life is real whether one is acting or not—the common denominator and consistent, ubiquitous reality of life and all behavior is that it manifests in the form of relationships on all scales. But what is a relationship? Until now, the answer to this question has not been sufficiently known. As a result of many years of empirical research that began with the aim of discovering what is going on in a gifted actor when s/he is playing a character that can be observed and experienced as a living, intuitive being, and based on the knowledge that …

Assessment Of Genetic Diversity In The Usda And Cip-Fao International Nursery Collections Of Quinoa (Chenopodium Quinoa Willd.) Using Microsatellite Markers [Abstract], S. A. Christensen, Donald B. Pratt, C. Pratt, P. T. Nelson, M. R. Stevens, Eric N. Jellen, C. E. Coleman, D. J. Fairbanks, A. Bonifacio, Peter J. Maughan

Faculty Publications

No abstract provided.

Australian Temperate Strawberry Breeding Program (Western Australia) Selection Of New And Advanced Short Day Breeding Lines And Cultivars In Western Australia - 2006/2007, Aileen Reid, Dennis Phillips, Hal

Horticulture research reports

Thirty-two ‘Stage 4’ numbered selections (2004 crosses) from the Australian Temperate Strawberry Breeding Program were evaluated in unreplicated plots on a commercial property in Wanneroo for their potential under WA conditions. Seven of these have been selected as worthy of further testing. The priority selection among these was 04- 021-263, and the other six included 04-021-467, 04-037-102, 04-021-241, 04-021-172, 04-021-475 and 04-029-211.

In addition, 21 advanced numbered selections (Stages 5, 6 and 7) were also evaluated on the same grower’s property. Three of those were substantially larger plots and a later planting date. Of the first group of 18 selections, …

Characterization Of Afn1, A Gene Associated With Cereal Grain Germination, Tenzin Tsewang, Russell Johnson

Undergraduate Research Symposium (UGRS)

The AFN1 gene is transiently expressed in germinating oat grains. As AFN1 is not expressed in dormant oat grains during imbibition, we hypothesize that AFN1 may be involved in stimulating the germination process. Sequence analysis of an AFN1 cDNA clone indicates that the AFN1 polypeptide is similar to a previously identified abscisic acid (ABA) glucosyl transferase. This suggests that AFN1 may be acting to glucosylate ABA, thereby inactivating it. As the hormone ABA is known to inhibit germination, ABA glucosylation/inactivation could lead to germination in grains expressing AFN1. To test this hypothesis, we have constructed an expression plasmid that encodes …

Poxviral B1 Kinase Overcomes Barrier To Autointegration Factor, A Host Defense Against Virus Replication, Matthew S. Wiebe, Paula Traktman

Nebraska Center for Virology: Faculty Publications

Barrier to autointegration factor (BAF) is a DNA-binding protein found in the nucleus and cytoplasm of eukaryotic cells that functions to establish nuclear architecture during mito-sis. Herein, we demonstrate a cytoplasmic role for BAF in host defense during poxviral infections. Vaccinia is the prototypic poxvirus, a family of DNA viruses that replicate ex-clusively in the cytoplasm of infected cells. Mutations in the vaccinia B1 kinase (B1) com-promise viral DNA replication, but the mechanism by which B1 achieves this has remained elusive. We now show that BAF acts as a potent inhibitor of poxvirus replication unless its DNA-binding activity is blocked …

Characterizing Linkage Disequilibrium In Pig Populations, Feng-Xing Du, Archie C. Clutter, Michael M. Lohuis

Department of Animal Science: Faculty Publications

Knowledge of the extent and range of linkage disequilibrium (LD), defined as non-random association of alleles at two or more loci, in animal populations is extremely valuable in localizing genes affecting quantitative traits, identifying chromosomal regions under selection, studying population history, and characterizing/managing genetic resources and diversity. Two commonly used LD measures, r² and D’, and their permutation based adjustments, were evaluated using genotypes of more than 6,000 pigs from six commercial lines (two terminal sire lines and four maternal lines) at ~4,500 autosomal SNPs (single nucleotide polymorphisms). The results indicated that permutation only partially removed the dependency of …

Modulation Of Retroviral Restriction And Proteasome Inhibitor-Resistant Turnover By Changes In The Trim5Α B-Box 2 Domain, Felipe Diaz-Griffero, Alak Kar, Michel Perron, Shi-Hua Xiang, Hassan Javanbakht, Xing Li, Joseph Sodroski

Nebraska Center for Virology: Faculty Publications

An intact B-box 2 domain is essential for the antiretroviral activity of TRIM5α. We modeled the structure of the B-box 2 domain of TRIM5α based on the existing three-dimensional structure of the B-box 2 domain of human TRIM29. Using this model, we altered the residues predicted to be exposed on the surface of this globular structure. Most of the alanine substitutions in these residues exerted little effect on the antiretroviral activity of human TRIM5αhu or rhesus monkey TRIM5α_rh. However, alteration of arginine 119 of TRIM5α_hu or the corresponding arginine 121 of TRIM5α_rh diminished the abilities of …

Managing The Risk Of Comparing Estimated Breeding Values Across Flocks Or Herds Through Connectedness: A Review And Application, L. A. Kuehn, Ronald M. Lewis, D. R. Notter

Department of Animal Science: Faculty Publications

Comparing predicted breeding values (BV) among animals in different management units (e.g. flocks, herds) is challenging if units have different genetic means. Unbiased estimates of differences in BV may be obtained by assigning base animals to genetic groups according to their unit of origin, but units must be connected to estimate group effects. If many small groups exist, error of BV prediction may be increased. Alternatively, genetic groups can be excluded from the statistical model, which may bias BV predictions. If adequate genetic connections exist among units, bias is reduced. Several measures of connectedness have been proposed, but their relationships …

Similar Levels Of X-Linked And Autosomal Nucleotide Variation In African And Non-African Populations Of Drosophila Melanogaster, Nadia D. Singh, J. Michael Macpherson, Jeffrey D. Jensen, Dmitri A. Petrov

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Background: Levels of molecular diversity in Drosophila have repeatedly been shown to be higher in ancestral, African populations than in derived, non-African populations. This pattern holds for both coding and noncoding regions for a variety of molecular markers including single nucleotide polymorphisms and microsatellites. Comparisons of X-linked and autosomal diversity have yielded results largely dependent on population of origin.

Results: In an attempt to further elucidate patterns of sequence diversity in Drosophila melanogaster, we studied nucleotide variation at putatively nonfunctional X-linked and autosomal loci in sub-Saharan African and North American strains of D. melanogaster. We combine our experimental …

A General Review Of Competition Genetic Effects With An Emphasis On Swine Breeding, C. Y. Chen, Rodger K. Morota, S. Newman, L. D. Van Vleck

Department of Animal Science: Faculty Publications

A review of previous studies is presented on estimates of genetic parameters and responses to selection with traditional breeding approaches, on correlations between agonistic behavior and growth performance, and on theoretical frameworks for selection incorporating interactions among individuals and on practical methods for incorporating competition effects in breeding programs.

Structure And Function Of A Chlorella Virus Encoded Glycosyltransferase, Ying Zhang, Ye Xiang, James L. Van Etten, Michael G. Rossmann

James Van Etten Publications

Paramecium bursaria chlorella virus-1 encodes at least 5 putative glycosyltransferases that are probably involved in the synthesis of the glycan components of the viral major capsid protein. The 1.6 Å crystal structure of one of these glycosyltransferases (A64R) has a mixed α/β fold containing a central, six-stranded β-sheet flanked by α-helices. Crystal structures of A64R, complexed with UDP, CMP, or GDP, established that only UDP bound to A64R in the presence of Mn2+, consistent with its high structural similarity to glycosyltransferases which utilize UDP as the sugar carrier. The structure of the complex of A64R, UDP-glucose, and Mn2+ showed that …

Sequence And Annotation Of The 288-Kb Atcv-1 Virus That Infects An Endosymbiotic Chlorella Strain Of The Heliozoon Acanthocystis Turfacea, Lisa A. Fitzgerald, Michael V. Graves, Xiao Li, James Hartigan, Artur J.P. Pfitzner, Ella Hoffart, James L. Van Etten

James Van Etten Publications

Acanthocystis turfacea chlorella virus (ATCV-1), a prospective member of the family Phycodnaviridae, genus Chlorovirus, infects a unicellular, eukaryotic, chlorella-like green alga, Chlorella SAG 3.83, that is a symbiont in the heliozoon A. turfacea. The 288,047-bp ATCV-1 genome is the first virus to be sequenced that infects Chlorella SAG 3.83. ATCV-1 contains 329 putative protein-encoding and 11 tRNA-encoding genes. The protein-encoding genes are almost evenly distributed on both strands and intergenic space is minimal. Thirty-four percent of the viral gene products resemble entries in the public databases, including some that are unexpected for a virus. For example, these …

Chlorella Viruses Contain Genes Encoding A Complete Polyamine Biosynthetic Pathway, Sascha Baumann, Adrienne Sander, James Gurnon, Giane M. Yanai-Balser, James L. Van Etten, Markus Piotrowski

James Van Etten Publications

Two genes encoding the putative polyamine biosynthetic enzymes agmatine iminohydrolase (AIH) and N-carbamoylputrescine amidohydrolase (CPA) were cloned from the chloroviruses PBCV-1, NY-2A and MT325. They were expressed in Escherichia coli to form C-terminal (His)6-tagged proteins and the recombinant proteins were purified by Ni2+- binding affinity chromatography. The biochemical properties of the two enzymes are similar to AIH and CPA enzymes from Arabidopsis thaliana and Pseudomonas aeruginosa. Together with the previously known virus genes encoding ornithine/arginine decarboxlyase (ODC/ADC) and homospermidine synthase, the chloroviruses have genes that encode a complete set of functional enzymes that synthesize the rare polyamine homospermidine from arginine …

Maptogenome: A Comparative Genomic Tool That Aligns Transcript Maps To Sequenced Genomes, Srikrishna Putta, Jeramiah J. Smith, Chuck Staben, S. Randal Voss

Biology Faculty Publications

Efforts to generate whole genome assemblies and dense genetic maps have provided a wealth of gene positional information for several vertebrate species. Comparing the relative location of orthologous genes among these genomes provides perspective on genome evolution and can aid in translating genetic information between distantly related organisms. However, large-scale comparisons between genetic maps and genome assemblies can prove challenging because genetic markers are commonly derived from transcribed sequences that are incompletely and variably annotated. We developed the program MapToGenome as a tool for comparing transcript maps and genome assemblies. MapToGenome processes sequence alignments between mapped transcripts and whole genome …

Supervised Learning Method For The Prediction Of Subcellular Localization Of Proteins Using Amino Acid And Amino Acid Pair Composition, Tanwir Habib, Chaoyang Zhang, Jack Y. Yang, Mary Qu Yang, Youping Deng

Faculty Publications

Background

Occurrence of protein in the cell is an important step in understanding its function. It is highly desirable to predict a protein's subcellular locations automatically from its sequence. Most studied methods for prediction of subcellular localization of proteins are signal peptides, the location by sequence homology, and the correlation between the total amino acid compositions of proteins. Taking amino-acid composition and amino acid pair composition into consideration helps improving the prediction accuracy.

Results

We constructed a dataset of protein sequences from SWISS-PROT database and segmented them into 12 classes based on their subcellular locations. SVM modules were trained to …

Coupling Coherence Distinguishes Structure Sensitivity In Protein Electron Transfer, Tatiana Prytkova, Igor V. Kurnikov, David Beratan

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Quantum mechanical analysis of electron tunneling in nine thermally fluctuating cytochrome b562 derivatives reveals two distinct protein-mediated coupling limits. A structure-insensitive regime arises for redox partners coupled through dynamically averaged multiple-coupling pathways (in seven of the nine derivatives) where heme-edge coupling leads to the multiple-pathway regime. A structure-dependent limit governs redox partners coupled through a dominant pathway (in two of the nine derivatives) where axial-ligand coupling generates the single-pathway limit and slower rates. This two-regime paradigm provides a unified description of electron transfer rates in 26 ruthenium-modified heme and blue-copper proteins, as well as in numerous photosynthetic proteins.

A Practical Approach To Phylogenomics: The Phylogeny Of Ray-Finned Fish (Actinopterygii) As A Case Study, Chenhong Li, Guillermo Orti, Gong Zhang, Guoqing Lu

Biology Faculty Publications

Background: Molecular systematics occupies one of the central stages in biology in the genomic era, ushered in by unprecedented progress in DNA technology. The inference of organismal phylogeny is now based on many independent genetic loci, a widely accepted approach to assemble the tree of life. Surprisingly, this approach is hindered by lack of appropriate nuclear gene markers for many taxonomic groups especially at high taxonomic level, partially due to the lack of tools for efficiently developing new phylogenetic makers. We report here a genome-comparison strategy to identifying nuclear gene markers for phylogenetic inference and apply it to the …

Genomic And Gene Regulatory Signatures Of Cryptozoic Adaptation: Loss Of Blue Sensitive Photoreceptors Through Expansion Of Long Wavelength-Opsin Expression In The Red Flour Beetle Tribolium Castaneum, Magdalena Jackowska, Riyue Bao, Zhenyi Liu, Elizabeth C. Mcdonald, Tiffany A. Cook, Markus Friedrich

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Recent genome sequence analysis in the red flour beetle Tribolium castaneum indicated that this highly crepuscular animal encodes only two single opsin paralogs: a UV-opsin and a long wavelength (LW)-opsin; however, these animals do not encode a blue (B)-opsin as most other insects. Here, we studied the spatial regulation of the Tribolium single LW- and UV-opsin gene paralogs in comparison to that of the five opsin paralogs in the retina of Drosophila melanogaster.

Results

In situ hybridization analysis reveals that the Tribolium retina, in contrast with other insect retinas, constitutes a homogenous field of ommatidia that have seven …

Ocpat: An Online Codon-Preserved Alignment Tool For Evolutionary Genomic Analysis Of Protein Coding Sequences, Guozhen Liu, Monica Uddin, Munirul Islam, Morris Goodman, Lawrence I. Grossman, Roberto Romero, Derek E. Wildman

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Rapidly accumulating genome sequence data from multiple species offer powerful opportunities for the detection of DNA sequence evolution. Phylogenetic tree construction and codon-based tests for natural selection are the prevailing tools used to detect functionally important evolutionary change in protein coding sequences. These analyses often require multiple DNA sequence alignments that maintain the correct reading frame for each collection of putative orthologous sequences. Since this feature is not available in most alignment tools, codon reading frames often must be checked manually before evolutionary analyses can commence.

Results

Here we report an online codon-preserved alignment tool (OCPAT) that generates …

Whole Genome Expression Profiling Reveals A Significant Role For Immune Function In Human Abdominal Aortic Aneurysms, Guy M. Lenk, Gerard Tromp, Shantel Weinsheimer, Zoran Gatalica, Ramon Berguer, Helena Kuivaniemi

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Abdominal aortic aneurysms are a common disorder with an incompletely understood etiology. We used Illumina and Affymetrix microarray platforms to generate global gene expression profiles for both aneurysmal (AAA) and non-aneurysmal abdominal aorta, and identified genes that were significantly differentially expressed between cases and controls.

Results

Affymetrix and Illumina arrays included 18,057 genes in common; 11,542 (64%) of these genes were considered to be expressed in either aneurysmal or normal abdominal aorta. There were 3,274 differentially expressed genes with a false discovery rate (FDR) ≤ 0.05. Many of these genes were not previously known to be involved in …

Evaluation Of Genetic Diversity In Wild Chironomid Populations Using Rapd And Hemoglobin Protein As Molecular Biomarkers, Virendrasinh N. Jadeja

Seton Hall University Dissertations and Theses (ETDs)

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Genomics, Molecular Imaging, Bioinformatics, And Bio-Nano-Info Integration Are Synergistic Components Of Translational Medicine And Personalized Healthcare Research, Jack Y. Yang, Mary Qu Yang, Hamid R. Arabnia, Youping Deng

Faculty Publications

Supported by National Science Foundation (NSF), International Society of Intelligent Biological Medicine (ISIBM), International Journal of Computational Biology and Drug Design and International Journal of Functional Informatics and Personalized Medicine, IEEE 7th Bioinformatics and Bioengineering attracted more than 600 papers and 500 researchers and medical doctors. It was the only synergistic inter/multidisciplinary IEEE conference with 24 Keynote Lectures, 7 Tutorials, 5 Cutting-Edge Research Workshops and 32 Scientific Sessions including 11 Special Research Interest Sessions that were designed dynamically at Harvard in response to the current research trends and advances. The committee was very grateful for the IEEE Plenary Keynote Lectures …

Analyzing Adjuvant Radiotherapy Suggests A Non Monotonic Radio-Sensitivity Over Tumor Volumes, Jack Y. Yang, Andrzej Niemierko, Mary Qu Yang, Youping Deng

Faculty Publications

Background: Adjuvant Radiotherapy (RT) after surgical removal of tumors proved beneficial in long-term tumor control and treatment planning. For many years, it has been well concluded that radio-sensitivities of tumors upon radiotherapy decrease according to the sizes of tumors and RT models based on Poisson statistics have been used extensively to validate clinical data. Results: We found that Poisson statistics on RT is actually derived from bacterial cells despite of many validations from clinical data. However cancerous cells do have abnormal cellular communications and use chemical messengers to signal both surrounding normal and cancerous cells to develop new blood vessels …

A Hybrid Machine Learning-Based Method For Classifying The Cushing's Syndrome With Comorbid Adrenocortical Lesions, Jack Y. Yang, Mary Qu Yang, Zuojie Lao, Yan Ma, Jianling Li, Youping Deng, Xudong Huang

Faculty Publications

Background

The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. It follows from a comprehensive statistical analysis that a number of antigens such as hTERT, PCNA and Ki-67 can be considered as cancer markers, while another set of antigens such as P27KIP1 and FHIT are possible markers for normal tissue. Because more than one marker must be considered to obtain a classification of cancer or no cancer, and if cancer, to classify it as malignant, borderline, or benign, we must develop an intelligent decision system that can fullfill …

Improving Prediction Accuracy Of Tumor Classification By Reusing Genes Discarded During Gene Selection, Jack Y. Yang, Guo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Youping Deng

Faculty Publications

Background

Since the high dimensionality of gene expression microarray data sets degrades the generalization performance of classifiers, feature selection, which selects relevant features and discards irrelevant and redundant features, has been widely used in the bioinformatics field. Multi-task learning is a novel technique to improve prediction accuracy of tumor classification by using information contained in such discarded redundant features, but which features should be discarded or used as input or output remains an open issue.

Results

We demonstrate a framework for automatically selecting features to be input, output, and discarded by using a genetic algorithm, and propose two algorithms: GA-MTL …