Identification and Characterization of Candidate Genes for Complex Traits in Cattle
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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. -
Methylation and Silencing of Protein Tyrosine Phosphatase Receptor
Human Cancer Biology Methylation and Silencing of Protein Tyrosine Phosphatase Receptor Type O in Chronic Lymphocytic Leukemia Tasneem Motiwala,1Sarmila Majumder,1Huban Kutay,1David Spencer Smith,1Donna S. Neuberg,4 David M. Lucas,2 John C. Byrd,2,3 Michael Grever,2,3 and Samson T.Jacob1, 2 , 3 Abstract Purpose: Previous studies in our laboratory have shown the progressive methylation and suppression of the gene encoding protein tyrosine phosphatase, PTPRO, in the livers of rats fed a methyl-deficient diet that induces hepatocarcinogenesis. Subsequently, we observed the methylation of PTPRO in primary human lung tumors and also showed its potential tumor suppressor characteristics. The present study was undertaken to investigate whether the truncated form of PTPRO (PTPROt), specifically expressed in naI«ve B lymphocytes, was also methylated and suppressed in chronic lymphocytic leukemia (CLL), a disease generally affecting B lymphocytes. Experimental Design and Results: Initial screening showed that 60% of the 52 CLL samples analyzed using methylation-specific PCR assay were methylated compared with B lymphocytes from normal individuals, which were not methylated. The expression of PTPROt, as measured by semiquantitative reverse transcription-PCR, inversely correlated with methylation in the few samples tested. Analysis of additional samples (n = 50) by combined bisulfite restriction analysis showed that the PTPRO CpG island was methylated in 82% of patients with CLL compared with B lymphocytes from normal individuals. Furthermore, overall expression of PTPRO was reduced in CLL relative to normal lymphocytes. The PTPRO gene was also suppressed by methylation in the CLL cell lineWaC3CD5, where it could be reactivated upon treatment with the DNA hypome- thylating agent 5-AzaC. -
Meconium Ileus Caused by Mutations in GUCY2C, Encoding the CFTR-Activating Guanylate Cyclase 2C
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector REPORT Meconium Ileus Caused by Mutations in GUCY2C, Encoding the CFTR-Activating Guanylate Cyclase 2C Hila Romi,1,6 Idan Cohen,1,6 Daniella Landau,2 Suliman Alkrinawi,2 Baruch Yerushalmi,2 Reli Hershkovitz,3 Nitza Newman-Heiman,2 Garry R. Cutting,4 Rivka Ofir,1 Sara Sivan,1 and Ohad S. Birk1,5,* Meconium ileus, intestinal obstruction in the newborn, is caused in most cases by CFTR mutations modulated by yet-unidentified modi- fier genes. We now show that in two unrelated consanguineous Bedouin kindreds, an autosomal-recessive phenotype of meconium ileus that is not associated with cystic fibrosis (CF) is caused by different homozygous mutations in GUCY2C, leading to a dramatic reduction or fully abrogating the enzymatic activity of the encoded guanlyl cyclase 2C. GUCY2C is a transmembrane receptor whose extracellular domain is activated by either the endogenous ligands, guanylin and related peptide uroguanylin, or by an external ligand, Escherichia coli (E. coli) heat-stable enterotoxin STa. GUCY2C is expressed in the human intestine, and the encoded protein activates the CFTR protein through local generation of cGMP. Thus, GUCY2C is a likely candidate modifier of the meconium ileus phenotype in CF. Because GUCY2C heterozygous and homozygous mutant mice are resistant to E. coli STa enterotoxin-induced diarrhea, it is plausible that GUCY2C mutations in the desert-dwelling Bedouin kindred are of selective advantage. Meconium ileus (MI), intestinal obstruction by inspissated homozygosity on chromosome 12p13 (spanning 9.5 Mb meconium in the distal ileum and cecum, develops in between markers D12S366 and D12S310) that was utero and presents shortly after birth as failure to pass common to all affected individuals. -
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. -
Supp Table 1.Pdf
Upregulated genes in Hdac8 null cranial neural crest cells fold change Gene Symbol Gene Title 134.39 Stmn4 stathmin-like 4 46.05 Lhx1 LIM homeobox protein 1 31.45 Lect2 leukocyte cell-derived chemotaxin 2 31.09 Zfp108 zinc finger protein 108 27.74 0710007G10Rik RIKEN cDNA 0710007G10 gene 26.31 1700019O17Rik RIKEN cDNA 1700019O17 gene 25.72 Cyb561 Cytochrome b-561 25.35 Tsc22d1 TSC22 domain family, member 1 25.27 4921513I08Rik RIKEN cDNA 4921513I08 gene 24.58 Ofa oncofetal antigen 24.47 B230112I24Rik RIKEN cDNA B230112I24 gene 23.86 Uty ubiquitously transcribed tetratricopeptide repeat gene, Y chromosome 22.84 D8Ertd268e DNA segment, Chr 8, ERATO Doi 268, expressed 19.78 Dag1 Dystroglycan 1 19.74 Pkn1 protein kinase N1 18.64 Cts8 cathepsin 8 18.23 1500012D20Rik RIKEN cDNA 1500012D20 gene 18.09 Slc43a2 solute carrier family 43, member 2 17.17 Pcm1 Pericentriolar material 1 17.17 Prg2 proteoglycan 2, bone marrow 17.11 LOC671579 hypothetical protein LOC671579 17.11 Slco1a5 solute carrier organic anion transporter family, member 1a5 17.02 Fbxl7 F-box and leucine-rich repeat protein 7 17.02 Kcns2 K+ voltage-gated channel, subfamily S, 2 16.93 AW493845 Expressed sequence AW493845 16.12 1600014K23Rik RIKEN cDNA 1600014K23 gene 15.71 Cst8 cystatin 8 (cystatin-related epididymal spermatogenic) 15.68 4922502D21Rik RIKEN cDNA 4922502D21 gene 15.32 2810011L19Rik RIKEN cDNA 2810011L19 gene 15.08 Btbd9 BTB (POZ) domain containing 9 14.77 Hoxa11os homeo box A11, opposite strand transcript 14.74 Obp1a odorant binding protein Ia 14.72 ORF28 open reading -
Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights Into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle
animals Article Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle Masoumeh Naserkheil 1 , Abolfazl Bahrami 1 , Deukhwan Lee 2,* and Hossein Mehrban 3 1 Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj 77871-31587, Iran; [email protected] (M.N.); [email protected] (A.B.) 2 Department of Animal Life and Environment Sciences, Hankyong National University, Jungang-ro 327, Anseong-si, Gyeonggi-do 17579, Korea 3 Department of Animal Science, Shahrekord University, Shahrekord 88186-34141, Iran; [email protected] * Correspondence: [email protected]; Tel.: +82-31-670-5091 Received: 25 August 2020; Accepted: 6 October 2020; Published: 9 October 2020 Simple Summary: Hanwoo is an indigenous cattle breed in Korea and popular for meat production owing to its rapid growth and high-quality meat. Its yearling weight and carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score) are economically important for the selection of young and proven bulls. In recent decades, the advent of high throughput genotyping technologies has made it possible to perform genome-wide association studies (GWAS) for the detection of genomic regions associated with traits of economic interest in different species. In this study, we conducted a weighted single-step genome-wide association study which combines all genotypes, phenotypes and pedigree data in one step (ssGBLUP). It allows for the use of all SNPs simultaneously along with all phenotypes from genotyped and ungenotyped animals. Our results revealed 33 relevant genomic regions related to the traits of interest. -
TASOR Is a Pseudo-PARP That Directs HUSH Complex Assembly and Epigenetic Transposon Control
Lawrence Berkeley National Laboratory Recent Work Title TASOR is a pseudo-PARP that directs HUSH complex assembly and epigenetic transposon control. Permalink https://escholarship.org/uc/item/6021r2cd Journal Nature communications, 11(1) ISSN 2041-1723 Authors Douse, Christopher H Tchasovnikarova, Iva A Timms, Richard T et al. Publication Date 2020-10-02 DOI 10.1038/s41467-020-18761-6 Peer reviewed eScholarship.org Powered by the California Digital Library University of California ARTICLE https://doi.org/10.1038/s41467-020-18761-6 OPEN TASOR is a pseudo-PARP that directs HUSH complex assembly and epigenetic transposon control Christopher H. Douse 1,4,9, Iva A. Tchasovnikarova2,5,9, Richard T. Timms 2,9, Anna V. Protasio 2,6, Marta Seczynska2, Daniil M. Prigozhin 1,7, Anna Albecka1,2,8, Jane Wagstaff3, James C. Williamson2, ✉ ✉ Stefan M. V. Freund3, Paul J. Lehner 2 & Yorgo Modis 1,2 1234567890():,; The HUSH complex represses retroviruses, transposons and genes to maintain the integrity of vertebrate genomes. HUSH regulates deposition of the epigenetic mark H3K9me3, but how its three core subunits — TASOR, MPP8 and Periphilin — contribute to assembly and targeting of the complex remains unknown. Here, we define the biochemical basis of HUSH assembly and find that its modular architecture resembles the yeast RNA-induced tran- scriptional silencing complex. TASOR, the central HUSH subunit, associates with RNA pro- cessing components. TASOR is required for H3K9me3 deposition over LINE-1 repeats and repetitive exons in transcribed genes. In the context of previous studies, this suggests that an RNA intermediate is important for HUSH activity. We dissect the TASOR and MPP8 domains necessary for transgene repression. -
DYSREGULATION of LONG-CHAIN ACYL-Coa SYNTHETASES in CANCER and THEIR TARGETING STRATEGIES in ANTICANCER THERAPY Md Amir Hossain1, Jun Ma2, Yong Yang1 1
Hossain et al RJLBPCS 2020 www.rjlbpcs.com Life Science Informatics Publications Original Review Article DOI: 10.26479/2020.0603.06 DYSREGULATION OF LONG-CHAIN ACYL-CoA SYNTHETASES IN CANCER AND THEIR TARGETING STRATEGIES IN ANTICANCER THERAPY Md Amir Hossain1, Jun Ma2, Yong Yang1 1. Academic Institute of Pharmaceutical Science, China Pharmaceutical University, Nanjing, China. 2. Ningxia Baoshihua Hospital, Ningxia, China. ABSTRACT: Cancer is a leading cause of death worldwide, and the number of cases globally continues to increase. Cancer is caused by certain changes in genes that are involved in controlling cell functions and cell division. Notably, metabolic dysregulation is one the hallmarks of cancer, and increases in fatty acid metabolism have been demonstrated to promote the growth and survival of a variety of cancers. In human, fatty acids either can be breakdown into acetyl-CoA through catabolic metabolism and aid in ATP generation or in the anabolic metabolism they can incorporate into triacylglycerol and phospholipid. Importantly, both of these pathways need activation of fatty acids, and the key players in this activation of fatty acids are the long-chain acyl-CoA synthetases (ACSLs) that are commonly dysregulated in cancer and associated with oncogenesis and survival. Therefore, it provides a rationale to target ACSLs in cancer. This review summarizes the current understanding of long-chain acyl-CoA synthetases in cancer and their targeting opportunities. KEYWORDS: Acyl-CoA synthetases, cancer, fatty acid, lipid metabolism. Article History: Received: April 15, 2020; Revised: May 10, 2020; Accepted: May 30, 2020. Corresponding Author: Prof. Yong Yang* Academic Institute of Pharmaceutical Science, China Pharmaceutical University, Nanjing, China. -
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 ............................................................................................................................ -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
1 INVITED REVIEW Mechanisms of Gasdermin Family Members in Inflammasome Signaling and Cell Death Shouya Feng,* Daniel Fox,* Si M
INVITED REVIEW Mechanisms of Gasdermin family members in inflammasome signaling and cell death Shouya Feng,* Daniel Fox,* Si Ming Man Department of Immunology and Infectious Disease, The John Curtin School of Medical Research, The Australian National University, Canberra, Australia. * S.F. and D.F. equally contributed to this work Correspondence to Si Ming Man: Department of Immunology and Infectious Disease, The John Curtin School of Medical Research, The Australian National University, Canberra, 2601, Australia. [email protected] 1 Abstract The Gasdermin (GSDM) family consists of Gasdermin A (GSDMA), Gasdermin B (GSDMB), Gasdermin C (GSDMC), Gasdermin D (GSDMD), Gasdermin E (GSDME) and Pejvakin (PJVK). GSDMD is activated by inflammasome-associated inflammatory caspases. Cleavage of GSDMD by human or mouse caspase-1, human caspase-4, human caspase-5, and mouse caspase-11, liberates the N-terminal effector domain from the C-terminal inhibitory domain. The N-terminal domain oligomerizes in the cell membrane and forms a pore of 10-16 nm in diameter, through which substrates of a smaller diameter, such as interleukin (IL)-1β and IL- 18, are secreted. The increasing abundance of membrane pores ultimately leads to membrane rupture and pyroptosis, releasing the entire cellular content. Other than GSDMD, the N-terminal domain of all GSDMs, with the exception of PJVK, have the ability to form pores. There is evidence to suggest that GSDMB and GSDME are cleaved by apoptotic caspases. Here, we review the mechanistic functions of GSDM proteins with respect to their expression and signaling profile in the cell, with more focused discussions on inflammasome activation and cell death.