Life Sciences Commons^™

Estimation And Testing Of Gene Expression Heterosis, Tieming Ji, Peng Liu, Dan Nettleton

Dan Nettleton

Heterosis, also known as the hybrid vigor, occurs when the mean phenotype of hybrid offspring is superior to that of its two inbred parents. The heterosis phenomenon is extensively utilized in agriculture though the molecular basis is still unknown. In an effort to understand phenotypic heterosis at the molecular level, researchers have begun to compare expression levels of thousands of genes between parental inbred lines and their hybrid offspring to search for evidence of gene expression heterosis. Standard statistical approaches for separately analyzing expression data for each gene can produce biased and highly variable estimates and unreliable tests of heterosis. …

Substantial Contribution Of Genetic Variation In The Expression Of Transcription Factors To Phenotypic Variation Revealed By Erd-Gwas, Hung-Ying Lin, Qiang Liu, Xiao Li, Jinliang Yang, Sanzhen Liu, Yinlian Huang, Michael J. Scanlon, Dan Nettleton, Patrick S. Schnable

Dan Nettleton

Background: There are significant limitations in existing methods for the genome-wide identification of genes whose expression patterns affect traits.

Results: The transcriptomes of five tissues from 27 genetically diverse maize inbred lines were deeply sequenced to identify genes exhibiting high and low levels of expression variation across tissues or genotypes. Transcription factors are enriched among genes with the most variation in expression across tissues, as well as among genes with higher-than-median levels of variation in expression across genotypes. In contrast, transcription factors are depleted among genes whose expression is either highly stable or highly variable across genotypes. We developed a …

Tissue-Specific Transcriptome For Poeciliopsis Prolifica Reveals Evidence For Genetic Adaptation Related To The Evolution Of A Placental Fish, Nathaniel K. Jue, Robert J. Foley, David N. Reznick, Rachel J. O'Neill, Michael J. O'Neill

Nathaniel Jue

Microarray Analysis Of Aging-Associated Immune System Alterations In The Rostral Ventrolateral Medulla Of F344 Rats, Sivasai Balivada, Chanran K. Ganta, Yongqing Zhang, Hitesh N. Pawar, Richard J. Ortiz, Kevin G. Becker, Arshad M. Khan, Michael J. Kenney

Arshad M. Khan, Ph.D.

66th National Poultry Breeder Roundtable Poster_Jibin Zhang.Pdf, Jibin Zhang, Carl J. Schmidt, Susan J. Lamont

Jibin Zhang

Transcriptome Analysis Reveals Potential Mechanisms Underlying Differential Heart Development In Fast- And Slow-Growing Broilers Under Heat Stress, Jibin Zhang, Carl J. Schmidt, Susan J. Lamont

Jibin Zhang

Pag 2017 Poster _ Jibin Zhang.Pdf, Jibin Zhang, Michael G. Kaiser, Melissa S. Herrmann, Rodrigo A. Gallardo, David A. Bunn, Terra R. Kelly, Jack C. M. Dekkers, Huaijun Zhou, Susan J. Lamont

Jibin Zhang

A Gene-Based Association Method For Mapping Traits Using Reference Transcriptome Data, Eric R. Gamazon, Heather Wheeler, Kaanan P. Shah, Sahar V. Mozaffari, Keston Aquino-Michaels, Robert J. Carroll, Anne E. Eyler, Joshua C. Denny, Dan L. Nicolae, Nancy J. Cox, Hae Kyung Im

Heather Wheeler

Genome-wide association studies (GWAS) have identified thousands of variants robustly associated with complex traits. However, the biological mechanisms underlying these associations are, in general, not well understood. We propose a gene-based association method called PrediXcan that directly tests the molecular mechanisms through which genetic variation affects phenotype. The approach estimates the component of gene expression determined by an individual’s genetic profile and correlates ‘imputed’ gene expression with the phenotype under investigation to identify genes involved in the etiology of the phenotype. Genetically regulated gene expression is estimated using whole-genome tissue-dependent prediction models trained with reference transcriptome data sets. PrediXcan enjoys …

Distinct Cardiac Responses To Heat Stress Between Two Broiler Lines Identified By Transcriptome Analysis, Jibin Zhang, Carl J. Schmidt, Susan J. Lamont

Jibin Zhang

Differential Expression Of Cyb5a In Chinese And European Pig Breeds Due To Genetic Variations In The Promoter Region..Pdf, Ying Bai, Jibin Zhang, Y Xue, Yl Peng, Gang Chen, Meiying Fang

Jibin Zhang

Allosteric Inhibition Of A Stem Cell Rna-Binding Protein By An Intermediary Metabolite, Carina Clingman, Laura Deveau, Samantha Hay, Ryan Genga, Shivender Shandilya, Francesca Massi, Sean Ryder

Sean P. Ryder

Gene expression and metabolism are coupled at numerous levels. Cells must sense and respond to nutrients in their environment, and specialized cells must synthesize metabolic products required for their function. Pluripotent stem cells have the ability to differentiate into a wide variety of specialized cells. How metabolic state contributes to stem cell differentiation is not understood. In this study, we show that RNA-binding by the stem cell translation regulator Musashi-1 (MSI1) is allosterically inhibited by 18-22 carbon omega-9 monounsaturated fatty acids. The fatty acid binds to the N-terminal RNA Recognition Motif (RRM) and induces a conformational change that prevents RNA …

Molecular Correlates Of Social Dominance: A Novel Role For Ependymin In Aggression, Lynne U. Sneddon, Rupert Schmidt, Yongxiang Fang, Andrew R. Cossins

Lynne Sneddon, PhD

Theoretical and empirical studies have sought to explain the formation and maintenance of social relationships within groups. The resulting dominance hierarchies have significant fitness and survival consequences dependent upon social status. We hypothesised that each position or rank within a group has a distinctive brain gene expression profile that correlates with behavioural phenotype. Furthermore, transitions in rank position should determine which genes shift in expression concurrent with the new dominance status. We used a custom cDNA microarray to profile brain transcript expression in a model species, the rainbow trout, which forms tractable linear hierarchies. Dominant, subdominant and submissive individuals had …

Jibin Zhang's Ppt For Midwest Meeting.Pdf, Jibin Zhang, Yeunsu Suh, Young Min Choi, Michael E. Davis, Kichoon Lee

Jibin Zhang