Transcriptome Analysis of Messenger RNA and Long Noncoding RNA Related to Different Developmental Stages of Tail Adipose Tissues of Sunite Sheep
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Evolution, Dynamic Expression Changes and Regulatory Characteristics of Gene Families Involved in the Glycerophosphate Pathway O
www.nature.com/scientificreports OPEN Evolution, dynamic expression changes and regulatory characteristics of gene families Received: 2 October 2018 Accepted: 14 August 2019 involved in the glycerophosphate Published: xx xx xxxx pathway of triglyceride synthesis in chicken (Gallus gallus) Liyu Yang1, Ziming Liu1, Kepeng Ou2, Taian Wang1, Zhuanjian Li1,3,4, Yadong Tian1,3,4, Yanbin Wang1,3,4, Xiangtao Kang1,3,4, Hong Li1,3,4 & Xiaojun Liu1,3,4 It is well documented that four gene families, including the glycerophosphate acyltransferases (GPATs), acylglycerophosphate acyltransferases (AGPATs), lipid phosphate phosphohydrolases (LPINs) and diacylglycerol acyltransferases (DGATs), are involved in the glycerophosphate pathway of de novo triglyceride (TG) biosynthesis in mammals. However, no systematic analysis has been conducted to characterize the gene families in poultry. In this study, the sequences of gene family members in the glycerophosphate pathway were obtained by screening the public databases. The phylogenetic tree, gene structures and conserved motifs of the corresponding proteins were evaluated. Dynamic expression changes of the genes at diferent developmental stages were analyzed by qRT-PCR. The regulatory characteristics of the genes were analyzed by in vivo experiments. The results showed that the GPAT, AGPAT and LPIN gene families have 2, 7 and 2 members, respectively, and they were classifed into 2, 4 and 2 cluster respectively based on phylogenetic analysis. All of the genes except AGPAT1 were extensively expressed in various tissues. Estrogen induction upregulated the expression of GPAM and AGPAT2, downregulated the expression of AGPAT3, AGPAT9, LPIN1 and LPIN2, and had no efect on the expression of the other genes. These fndings provide a valuable resource for further investigation of lipid metabolism in liver of chicken. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Distinguishing Pleiotropy from Linked QTL Between Milk Production Traits
Cai et al. Genet Sel Evol (2020) 52:19 https://doi.org/10.1186/s12711-020-00538-6 Genetics Selection Evolution RESEARCH ARTICLE Open Access Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle Zexi Cai1*†, Magdalena Dusza2†, Bernt Guldbrandtsen1, Mogens Sandø Lund1 and Goutam Sahana1 Abstract Background: Production and health traits are central in cattle breeding. Advances in next-generation sequencing technologies and genotype imputation have increased the resolution of gene mapping based on genome-wide association studies (GWAS). Thus, numerous candidate genes that afect milk yield, milk composition, and mastitis resistance in dairy cattle are reported in the literature. Efect-bearing variants often afect multiple traits. Because the detection of overlapping quantitative trait loci (QTL) regions from single-trait GWAS is too inaccurate and subjective, multi-trait analysis is a better approach to detect pleiotropic efects of variants in candidate genes. However, large sample sizes are required to achieve sufcient power. Multi-trait meta-analysis is one approach to deal with this prob- lem. Thus, we performed two multi-trait meta-analyses, one for three milk production traits (milk yield, protein yield and fat yield), and one for milk yield and mastitis resistance. Results: For highly correlated traits, the power to detect pleiotropy was increased by multi-trait meta-analysis com- pared with the subjective assessment of overlapping of single-trait QTL confdence intervals. Pleiotropic efects of lead single nucleotide polymorphisms (SNPs) that were detected from the multi-trait meta-analysis were confrmed by bivariate association analysis. The previously reported pleiotropic efects of variants within the DGAT1 and MGST1 genes on three milk production traits, and pleiotropic efects of variants in GHR on milk yield and fat yield were con- frmed. -
UNIVERSITY of CALIFORNIA, SAN DIEGO Early Signaling in Plant
UNIVERSITY OF CALIFORNIA, SAN DIEGO Early Signaling in plant immunity A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biology by Tenai E. Eguen Committee in charge: Professor Steven Briggs, Chair Professor Marty Yanofsky, Co-Chair Professor Tracy Johnson Professor Bernhard Palsson Professor Yunde Zhao 2013 Copyright Tenai E. Eguen, 2013 All rights reserved The Dissertation of Tenai E. Eguen is approved, and it is acceptable in quality and form for publication on microfilm and electronically: _______________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ Chair University of California, San Diego 2013 iii DEDICATION This dissertation is dedicated to all my friends and family who were supportive during my graduate studies. It is also dedicated to all the students, colleagues and my committee members who contributed to the success of this research. iv TABLE OF CONTENTS Signature Page ................................................................................................................................ iii Dedication ....................................................................................................................................... iv Table of Contents ............................................................................................................................ -
Update on Glycerol-3-Phosphate Acyltransferases: the Roles in The
Yu et al. Nutrition and Diabetes (2018) 8:34 DOI 10.1038/s41387-018-0045-x Nutrition & Diabetes REVIEW ARTICLE Open Access Update on glycerol-3-phosphate acyltransferases: the roles in the development of insulin resistance Jing Yu1,2,KimLoh3, Zhi-yuan Song4, He-qin Yang4,YiZhang1 and Shu Lin 4,5 Abstract Glycerol-3-phosphate acyltransferase (GPAT) is the rate-limiting enzyme in the de novo pathway of glycerolipid synthesis. It catalyzes the conversion of glycerol-3-phosphate and long-chain acyl-CoA to lysophosphatidic acid. In mammals, four isoforms of GPATs have been identified based on subcellular localization, substrate preferences, and NEM sensitivity, and they have been classified into two groups, one including GPAT1 and GPAT2, which are localized in the mitochondrial outer membrane, and the other including GPAT3 and GPAT4, which are localized in the endoplasmic reticulum membrane. GPATs play a pivotal role in the regulation of triglyceride and phospholipid synthesis. Through gain-of-function and loss-of-function experiments, it has been confirmed that GPATs play a critical role in the development of obesity, hepatic steatosis, and insulin resistance. In line with this, the role of GPATs in metabolism was supported by studies using a GPAT inhibitor, FSG67. Additionally, the functional characteristics of GPATs and the relation between three isoforms (GPAT1, 3, and 4) and insulin resistance has been described in this review. 1234567890():,; 1234567890():,; Introduction intestine, TAG synthesis occurs via the monoacylglycerol Hypertriglyceridemia and lipid accumulation in non- pathway, which contributes to the absorption of food- adipose tissues are linked with the development of derived fat. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery
Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery Jose A. Seoane1*, Colin Campbell2, Ian N. M. Day1, Juan P. Casas3, Tom R. Gaunt1,4 1 School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom, 2 Intelligent Systems Laboratory, University of Bristol, Bristol, United Kingdom, 3 Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom, 4 MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom Abstract Genome-wide association studies have identified a wealth of genetic variants involved in complex traits and multifactorial diseases. There is now considerable interest in testing variants for association with multiple phenotypes (pleiotropy) and for testing multiple variants for association with a single phenotype (gene-based association tests). Such approaches can increase statistical power by combining evidence for association over multiple phenotypes or genetic variants respectively. Canonical Correlation Analysis (CCA) measures the correlation between two sets of multidimensional variables, and thus offers the potential to combine these two approaches. To apply CCA, we must restrict the number of attributes relative to the number of samples. Hence we consider modules of genetic variation that can comprise a gene, a pathway or another biologically relevant grouping, and/or a set of phenotypes. In order to do this, we use an attribute selection strategy based on a binary genetic algorithm. Applied to a UK-based prospective cohort study of 4286 women (the British Women’s Heart and Health Study), we find improved statistical power in the detection of previously reported genetic associations, and identify a number of novel pleiotropic associations between genetic variants and phenotypes. -
Supplementary Figure 1. Dystrophic Mice Show Unbalanced Stem Cell Niche
Supplementary Figure 1. Dystrophic mice show unbalanced stem cell niche. (A) Single channel images for the merged panels shown in Figure 1A, for of PAX7, MYOD and Laminin immunohistochemical staining in Lmna Δ8-11 mice of PAX7 and MYOD markers at the indicated days of post-natal growth. Basement membrane of muscle fibers was stained with Laminin. Scale bars, 50 µm. (B) Quantification of the % of PAX7+ MuSCs per 100 fibers at the indicated days of post-natal growth in (A). n =3-6 animals per genotype. (C) Immunohistochemical staining in Lmna Δ8-11 mice of activated, ASCs (PAX7+/KI67+) and quiescent QSCs (PAX7+/Ki67-) MuSCs at d19 and relative quantification (below). n= 4-6 animals per genotype. Scale bars, 50 µm. (D) Quantification of the number of cells per cluster in single myofibers extracted from d19 Lmna Δ8-11 mice and cultured 96h. n= 4-5 animals per group. Data are box with median and whiskers min to max. B, C, Data are mean ± s.e.m. Statistics by one-way (B) or two-way (C, D) analysis of variance (ANOVA) with multiple comparisons. * * P < 0.01, * * * P < 0.001. wt= Lmna Δ8-11 +/+; het= Lmna Δ8-11 +/; hom= Lmna Δ8-11 -/-. Supplementary Figure 2. Heterozygous mice show intermediate Lamin A levels. (A) RNA-seq signal tracks as the effective genome size normalized coverage of each biological replicate of Lmna Δ8-11 mice on Lmna locus. Neomycine cassette is indicated as a dark blue rectangle. (B) Western blot of total protein extracted from the whole Lmna Δ8-11 muscles at d19 hybridized with indicated antibodies. -
Title: a Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic
bioRxiv preprint doi: https://doi.org/10.1101/517490; this version posted January 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 1 Title Page: 2 3 Title: A yeast phenomic model for the influence of Warburg metabolism on genetic 4 buffering of doxorubicin 5 6 Authors: Sean M. Santos1 and John L. Hartman IV1 7 1. University of Alabama at Birmingham, Department of Genetics, Birmingham, AL 8 Email: [email protected], [email protected] 9 Corresponding author: [email protected] 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 1 bioRxiv preprint doi: https://doi.org/10.1101/517490; this version posted January 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 26 Abstract: 27 Background: 28 Saccharomyces cerevisiae represses respiration in the presence of adequate glucose, 29 mimicking the Warburg effect, termed aerobic glycolysis. We conducted yeast phenomic 30 experiments to characterize differential doxorubicin-gene interaction, in the context of 31 respiration vs. glycolysis. The resulting systems level biology about doxorubicin 32 cytotoxicity, including the influence of the Warburg effect, was integrated with cancer 33 pharmacogenomics data to identify potentially causal correlations between differential 34 gene expression and anti-cancer efficacy. -
Regulatory Genetics of Single Nucleotide Polymorphisms
UNIVERSITY OF CALIFORNIA, SAN DIEGO In Silico, In Vitro, In Vivo and In Populo: Regulatory Genetics of Single Nucleotide Polymorphisms in the Phenylethanolamine N-Methyltransferase Promoter A Dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioinformatics by Juan Lorenzo Rodriguez Flores Committee in charge: Professor Daniel T. O’Connor, Chair Professor Vineet Bafna Professor Shankar Subramanian Professor Glenn Tesler Professor Wei Wang Professor Michael Ziegler 2009 Copyright Juan Lorenzo Rodriguez Flores, 2009 All rights reserved. The Dissertation of Juan Lorenzo Rodriguez Flores is approved, and it is acceptable in quality and form for publication on microfilm and electronically: ___________________________________________________ ___________________________________________________ ___________________________________________________ ___________________________________________________ ___________________________________________________ ___________________________________________________ Chair University of California, San Diego 2009 iii DEDICATION I dedicate this dissertation to my family. The Rodriguez, Flores, Quesada and Forastieri of Puerto Rico, a tribe whose history, accomplishments and adventures constantly remind me of who I am, where I came from and what I am capable of. I also dedicate this dissertation to Tatiana, who first danced with me the day I advanced to candidacy and who shortly after became my soulmate and the love of my life. She provided infinite support, motivation and nourishment for my graduation. iv EPIGRAPH We have been told we cannot do this by a chorus of cynics who will only grow louder and more dissonant in the weeks to come. We've been asked to pause for a reality check. We've been warned against offering ... false hope. But in the unlikely story that is America, there has never been anything false about hope... -
Proteomic Characterization of Cytoplasmic Lipid Droplets in Human Metastatic Breast Cancer Cells
ORIGINAL RESEARCH published: 01 June 2021 doi: 10.3389/fonc.2021.576326 Proteomic Characterization of Cytoplasmic Lipid Droplets in Human Metastatic Breast Cancer Cells Edited by: † † Alyssa S. Zembroski , Chaylen Andolino , Kimberly K. Buhman and Dorothy Teegarden* Bhaswati Chatterjee, National Institute of Pharmaceutical Department of Nutrition Science, Purdue University, West Lafayette, IN, United States Education and Research, India Reviewed by: Fuquan Yang, One of the characteristic features of metastatic breast cancer is increased cellular storage Institute of Biophysics (CAS), China of neutral lipid in cytoplasmic lipid droplets (CLDs). CLD accumulation is associated with Daniele Vergara, University of Salento, Italy increased cancer aggressiveness, suggesting CLDs contribute to metastasis. However, *Correspondence: how CLDs contribute to metastasis is not clear. CLDs are composed of a neutral lipid Dorothy Teegarden core, a phospholipid monolayer, and associated proteins. Proteins that associate with [email protected] CLDs regulate both cellular and CLD metabolism; however, the proteome of CLDs in † These authors have contributed metastatic breast cancer and how these proteins may contribute to breast cancer equally to this work progression is unknown. Therefore, the purpose of this study was to identify the Specialty section: proteome and assess the characteristics of CLDs in the MCF10CA1a human This article was submitted to metastatic breast cancer cell line. Utilizing shotgun proteomics, we identified over 1500 Molecular and Cellular Oncology, a section of the journal proteins involved in a variety of cellular processes in the isolated CLD fraction. Frontiers in Oncology Interestingly, unlike other cell lines such as adipocytes or enterocytes, the most Received: 25 June 2020 enriched protein categories were involved in cellular processes outside of lipid Accepted: 10 May 2021 metabolism. -
Expression-Based GWAS Identifies Variants, Gene Interactions and Key
www.nature.com/scientificreports OPEN Expression-based GWAS identifies variants, gene interactions and key regulators affecting intramuscular Received: 12 February 2016 Accepted: 26 July 2016 fatty acid content and composition Published: 18 August 2016 in porcine meat Anna Puig-Oliveras1,2, Manuel Revilla1,2, Anna Castelló1,2, Ana I. Fernández3, Josep M. Folch1,2 & Maria Ballester1,2,4 The aim of this work is to better understand the genetic mechanisms determining two complex traits affecting porcine meat quality: intramuscular fat (IMF) content and its fatty acid (FA) composition. With this purpose, expression Genome-Wide Association Study (eGWAS) of 45 lipid-related genes associated with meat quality traits in swine muscle (Longissimus dorsi) of 114 Iberian × Landrace backcross animals was performed. The eGWAS identified 241 SNPs associated with 11 genes:ACSM5, CROT, FABP3, FOS, HIF1AN, IGF2, MGLL, NCOA1, PIK3R1, PLA2G12A and PPARA. Three expression Quantitative Trait Loci (eQTLs) for IGF2, ACSM5 and MGLL were identified, showingcis -acting effects, whereas 16 eQTLs had trans regulatory effects. A polymorphism in theACSM5 promoter region associated with its expression was identified. In addition, strong candidate genes regulatingACSM5, FOS, PPARA, PIK3R1, PLA2G12A and HIF1AN gene expression were also seen. Notably, the analysis highlighted the NR3C1 transcription factor as a strong candidate gene involved in the regulation of the 45 genes analysed. Finally, the IGF2, MGLL, MC2R, ARHGAP6, and NR3C1 genes were identified as potential regulators co-localizing within QTLs for fatness and growth traits in the IBMAP population. The results obtained increase our knowledge in the functional regulatory mechanisms involved in these complex traits. Pork-meat cuts and their derived products are paid according to the lean percentage in pork carcasses and meat quality, since they determine better acceptance for consumers1.