Comparative Mapping of Human Chromosome 10 to Pig Chromosomes 10 and 14*

Total Page:16

File Type:pdf, Size:1020Kb

Comparative Mapping of Human Chromosome 10 to Pig Chromosomes 10 and 14* SHORT COMMUNICATION doi:10.1111/j.1365-2052.2004.01165.x Comparative mapping of human chromosome 10 to pig chromosomes 10 and 14* D. Nonneman and G. A. Rohrer USDA, ARS, US Meat Animal Research Center, Clay Center, NE, USA Summary Identification of predictive markers in QTL regions that impact production traits in com- mercial populations of swine is dependent on construction of dense comparative maps with human and mouse genomes. Chromosomal painting in swine suggests that large genomic blocks are conserved between pig and human, while mapping of individual genes reveals that gene order can be quite divergent. High-resolution comparative maps in regions affecting traits of interest are necessary for selection of positional candidate genes to evaluate nucleotide variation causing phenotypic differences. The objective of this study was to construct an ordered comparative map of human chromosome 10 and pig chro- mosomes 10 and 14. As a large portion of both pig chromosomes are represented by HSA10, genes at regularly spaced intervals along this chromosome were targeted for placement in the porcine genome. A total of 29 genes from human chromosome 10 were mapped to porcine chromosomes 10 (SSC10) and 14 (SSC14) averaging about 5 Mb dis- tance of human DNA per marker. Eighteen genes were assigned by linkage in the MARC mapping population, five genes were physically assigned with the IMpRH mapping panel and seven genes were assigned on both maps. Seventeen genes from human 10p mapped to SSC10, and 12 genes from human 10q mapped to SSC14. Comparative maps of mam- malian species indicate that chromosomal segments are conserved across several species and represent syntenic blocks with distinct breakpoints. Development of comparative maps containing several species should reveal conserved syntenic blocks that will allow us to better define QTL regions in livestock. Keywords comparative map, gene, human chromosome 10, microsatellite, SNP, SSC10, SSC14. Sufficient variation in production traits exists in commercial quite divergent. High-resolution comparative maps in populations of livestock to exploit allelic variation of regions affecting traits of interest are necessary for devel- superior animals to increase production efficiency and opment of additional neighbouring markers and selection of improve the quality of livestock products. Identification of positional candidate genes to evaluate for nucleotide vari- predictive markers that impact production traits in swine ation causing phenotypic differences. Although high-den- can be achieved by constructing dense comparative maps sity physical and linkage maps exist in the pig, gene order with human and mouse genomes. Bidirectional chromoso- for most regions is poorly defined. The sequencing of vast mal painting experiments suggest that large genomic blocks numbers of porcine ESTs and SNP genotyping has greatly are conserved between pig and human (Johansson et al. enabled mapping and assignment of a large number of 1995; Goureau et al. 1996), while mapping of individual genes to comparative maps (Fahrenkrug et al. 2002a). genes or regions suggest that for many regions gene order is The objective of this study was to construct a systematic ordered comparative map of human chromosome 10 with pig chromosomes 10 and 14. Several economically Address for correspondence important reproductive and carcass traits have been dis- D. Nonneman, USDA, ARS, US Meat Animal Research Center, Spur covered on both pig chromosomes (Rohrer & Keele 1998a,b; 18D, PO Box 166, Clay Center, NE 68933-0166, USA. Rohrer et al. 1999; Rohrer 2000; Wada et al. 2000; Hirooka et al. 2001; Malek et al. 2001a,b). As a large por- E-mail: [email protected] *The nucleotide sequence data reported in this paper have been sub- tion of both pig chromosomes are represented by HSA10, mitted to GenBank and have been assigned the accession numbers genes at regularly spaced intervals along this chromosome AY368174–AY368203. with available porcine sequence were targeted for place- Accepted for publication 2 June 2004 ment in the porcine genome. 338 Ó 2004 International Society for Animal Genetics, Animal Genetics, 35, 338–343 Comparative mapping of porcine chromosomes 10 and 14 339 Primer pairs for amplification of genomic DNA were assigned with the IMpRH mapping panel and seven genes designed from porcine EST sequences in TIGR Gene Indices were assigned on both maps. Seventeen genes from human (TIGR website; http://www.tigr.org/tdb/ssgi/) or from 10p mapped to SSC10, and 12 genes from human 10q sequences deposited in GenBank (Table 1) using Primer 3 mapped to SSC14. (Rozen & Skaletsky 2000; code available at: http://www- Seventeen loci from human chromosome 10p all mapped genome.wi.mit.edu/genome_software/other/primer3.html). to SSC10q (Table 1). This corresponds to about 30 Mb of Genes were targeted by their position on human chromo- human DNA that is represented by about 60 cM on the some 10 (UCSC version hg16 based on NCBI Build 34; porcine linkage map or an average distance of <4 cM Golden Path website; http://genome.ucsc.edu/) and avail- (>2 Mb of human DNA) per marker. Thirteen genes were ability of porcine EST sequence. Intronic and 3¢-UTR regions linkage mapped using SNP, 10 loci were mapped by ra- of porcine genes were targeted for amplification and diation hybrid mapping (Table 2); seven loci (AKR1C2, sequencing for SNP discovery in a PTC-200 DNA engine CREM, EPC1, GDI2, IDI1, MRC1 and VIM) were placed on (MJ Research Inc, Watertown, MA, USA) using Hot StarÒ both maps. Three genes (GATA3, NUDT5 and SUV39H2) Taq polymerase (Qiagen, Valencia, CA, USA) and 100 ng of were mapped using the RH panel, because the SNP found in genomic DNA in 25 ll reactions (Fahrenkrug et al. 2002b). the sequence were not informative enough to map them on Amplicons that contained a SNP that was heterozygous the linkage map (Table 2). CREM was mapped using two in the common sire or in at least two of the dams were microsatellites (SB79 and SB81) that were found in a BAC mapped using a primer extension assay on the Sequenom that contained CREM and on the RH panel because the MassArrayTM system (San Diego, CA, USA). Linkage ana- sequence did not contain SNP and the introns are too large lyses were performed for SNP across seven families to amplify across. The gene order is primarily arranged (86 progeny) of the MARC swine reference population from telomere to centromere of human 10p to the telomere (Rohrer et al. 1996; CRIMAP v2.4; Green et al. 1990). and centromere of porcine 10q, as previously described Multipoint locations for all mapped markers are based on (Hiraiwa et al. 2001; Nonneman & Rohrer 2003). On the latest published swine genetic map (Rohrer et al. 1996; SSC10, gene order is conserved from 105 to 127 cM, cor- http://www.marc.usda.gov/). responding to 5–13 Mb on human chromosome 10. Rear- Genes were physically mapped using the 118-clone rangement of genes near the centromere of SSC10q was INRA–University of Minnesota porcine 7000Rad Radiation found involving CREM, EPC1 and GAD2; PIP5K2A and Hybrid (IMpRH) panel (Yerle et al. 1998). Primers used BMI1. CREM is the most centromeric human 10p marker were described above, or designed from intron sequences that mapped near the center of SSC10q. Despite a com- obtained with the original EST primers. Amplifications were parative mapping approach targeting human genes, a large performed in 15 ll PCR using 12.5 ng panel DNA, 1.5 mM gap in marker coverage exists in the pig between 109 and Ò MgCl2, 200 lM dNTPs, 1 lM each primer, 0.25 U Hot Star 125 cM (CUGBP2 and ITIH2; Fig. 1). This is a region Taq and 1X of supplied buffer. The PCR mixture was held at which corresponds to approximately 8–11 Mb on human 94 °C for 15 min, and cycled 40 times at 94 °C for 20 s, the 10p, an area devoid of any known genes or ESTs. This indicated annealing temperature for 30 s (Table 2) and could be a recombination hotspot in the pig, which would extension at 72 °C for 1–1.5 min, followed by a final expand the linkage map in that region. No recombination extension at 72 °C for 5 min. Data were analysed for two- was seen for two groups of markers, VIM, MRC1 and EPC1, point and multipoint linkage (Hawken et al. 1999) with the and for PIP5K2A and BMI1. However, the order for VIM, IMpRH mapping tool and submitted to the IMpRH database MRC1 and EPC1 was determined on the IMpRH panel (http://imprh.toulouse.inra.fr/). Carthagene (http:// (Table 2). www.inra.fr/bia/T/CarthaGene/) was used to estimate Twelve genes from human 10q were mapped to SSC14q; multipoint marker distance and order using all public DEPP was the only locus mapped using only the RH panel markers in the IMpRH database (http://imprh.tou and 11 genes were linkage mapped using SNP (Table 1). louse.inra.fr/) and those developed in this study to PPYR1 and NCOA were mapped using multiple SNP in the approximate position of RH mapped markers on the MARC same amplicon, and an indel was used to map CTBP2. DEPP linkage map. is the most centromeric human 10q marker that was A total of 29 genes from human chromosome 10 were assigned to the RH map. These markers cover about 60 cM mapped to porcine chromosomes 10 (SSC10) and 14 on the SSC14 and about 90 Mb of human DNA for an (SSC14) averaging about 5 Mb distance of human DNA per average marker distance of 5 cM in the pig or about 7.5 Mb marker. All amplicons were sequenced and had significant in human. Gene order was colinear for most of human 10q identity to the porcine and human target exon sequences.
Recommended publications
  • Contribution of MSMB Promoter Region Gene Polymorphism to Early-Onset Prostate Cancer Risk in Mexican Males
    www.oncotarget.com Oncotarget, 2019, Vol. 10, (No. 7), pp: 738-748 Research Paper Contribution of MSMB promoter region gene polymorphism to early-onset prostate cancer risk in Mexican males Silvia Juliana Trujillo-Cáceres1, Luisa Torres-Sánchez1, Ana I. Burguete-García2, Yaneth Citlalli Orbe Orihuela2, Ruth Argelia Vázquez-Salas3, Esmeralda Álvarez- Topete4 and Rocío Gómez4 1Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública (INSP), Cuernavaca, Morelos, Mexico 2Centro de Investigación en Enfermedades Infecciosas, INSP, Cuernavaca, Morelos, Mexico 3Conacyt-Centro de Investigación en Salud Poblacional, INSP, Cuernavaca, Morelos, Mexico 4Departamento de Toxicología, Cinvestav-IPN, Mexico City, Mexico Correspondence to: Luisa Torres-Sánchez, email: [email protected] Keywords: genetic polymorphisms; MSMB; prostate cancer; rs10993994; sexually transmitted diseases Received: July 13, 2018 Accepted: December 16, 2018 Published: January 22, 2019 Copyright: Trujillo-Cáceres et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Sexually transmitted infections and its contribution to prostate cancer (PC) development have been relevant in different populations. MSMB gene polymorphism (rs10993994) has exhibited an association both with PC as well as the susceptibility to sexually transmitted infections. Hitherto, these conditions have been not studied in Mexico yet, neither if sexually transmitted infections could modify the MSMB and PC association. Herein, socio-demographic features, sexually transmitted infections records, the reproductive backgrounds, and the genetic characterisation were analysed in 322 incident PC cases and 628 population healthy controls from Mexico City.
    [Show full text]
  • Frequent Expression Loss of Inter-Alpha-Trypsin Inhibitor Heavy Chain (ITIH) Genes in Multiple Human Solid Tumors: a Systematic Expression Analysis
    Hamm, A; Veeck, J; Bektas, N; Wild, P J; Hartmann, A; Heindrichs, U; Kristiansen, G; Werbowetski-Ogilvie, T; Del Maestro, R; Knuechel, R; Dahl, E (2008). Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis. BMC Cancer, 8:25. Postprint available at: http://www.zora.uzh.ch University of Zurich Posted at the Zurich Open Repository and Archive, University of Zurich. Zurich Open Repository and Archive http://www.zora.uzh.ch Originally published at: BMC Cancer 2008, 8:25. Winterthurerstr. 190 CH-8057 Zurich http://www.zora.uzh.ch Year: 2008 Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis Hamm, A; Veeck, J; Bektas, N; Wild, P J; Hartmann, A; Heindrichs, U; Kristiansen, G; Werbowetski-Ogilvie, T; Del Maestro, R; Knuechel, R; Dahl, E Hamm, A; Veeck, J; Bektas, N; Wild, P J; Hartmann, A; Heindrichs, U; Kristiansen, G; Werbowetski-Ogilvie, T; Del Maestro, R; Knuechel, R; Dahl, E (2008). Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis. BMC Cancer, 8:25. Postprint available at: http://www.zora.uzh.ch Posted at the Zurich Open Repository and Archive, University of Zurich. http://www.zora.uzh.ch Originally published at: BMC Cancer 2008, 8:25. Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis Abstract BACKGROUND: The inter-alpha-trypsin inhibitors (ITI) are a family of plasma protease inhibitors, assembled from a light chain - bikunin, encoded by AMBP - and five homologous heavy chains (encoded by ITIH1, ITIH2, ITIH3, ITIH4, and ITIH5), contributing to extracellular matrix stability by covalent linkage to hyaluronan.
    [Show full text]
  • Supplementary Information Changes in the Plasma Proteome At
    Supplementary Information Changes in the plasma proteome at asymptomatic and symptomatic stages of autosomal dominant Alzheimer’s disease Julia Muenchhoff1, Anne Poljak1,2,3, Anbupalam Thalamuthu1, Veer B. Gupta4,5, Pratishtha Chatterjee4,5,6, Mark Raftery2, Colin L. Masters7, John C. Morris8,9,10, Randall J. Bateman8,9, Anne M. Fagan8,9, Ralph N. Martins4,5,6, Perminder S. Sachdev1,11,* Supplementary Figure S1. Ratios of proteins differentially abundant in asymptomatic carriers of PSEN1 and APP Dutch mutations. Mean ratios and standard deviations of plasma proteins from asymptomatic PSEN1 mutation carriers (PSEN1) and APP Dutch mutation carriers (APP) relative to reference masterpool as quantified by iTRAQ. Ratios that significantly differed are marked with asterisks (* p < 0.05; ** p < 0.01). C4A, complement C4-A; AZGP1, zinc-α-2-glycoprotein; HPX, hemopexin; PGLYPR2, N-acetylmuramoyl-L-alanine amidase isoform 2; α2AP, α-2-antiplasmin; APOL1, apolipoprotein L1; C1 inhibitor, plasma protease C1 inhibitor; ITIH2, inter-α-trypsin inhibitor heavy chain H2. 2 A) ADAD)CSF) ADAD)plasma) B) ADAD)CSF) ADAD)plasma) (Ringman)et)al)2015)) (current)study)) (Ringman)et)al)2015)) (current)study)) ATRN↓,%%AHSG↑% 32028% 49% %%%%%%%%HC2↑,%%ApoM↓% 24367% 31% 10083%% %%%%TBG↑,%%LUM↑% 24256% ApoC1↓↑% 16565% %%AMBP↑% 11738%%% SERPINA3↓↑% 24373% C6↓↑% ITIH2% 10574%% %%%%%%%CPN2↓%% ↓↑% %%%%%TTR↑% 11977% 10970% %SERPINF2↓↑% CFH↓% C5↑% CP↓↑% 16566% 11412%% 10127%% %%ITIH4↓↑% SerpinG1↓% 11967% %%ORM1↓↑% SerpinC1↓% 10612% %%%A1BG↑%%% %%%%FN1↓% 11461% %%%%ITIH1↑% C3↓↑% 11027% 19325% 10395%% %%%%%%HPR↓↑% HRG↓% %%% 13814%% 10338%% %%% %ApoA1 % %%%%%%%%%GSN↑% ↓↑ %%%%%%%%%%%%ApoD↓% 11385% C4BPA↓↑% 18976%% %%%%%%%%%%%%%%%%%ApoJ↓↑% 23266%%%% %%%%%%%%%%%%%%%%%%%%%%ApoA2↓↑% %%%%%%%%%%%%%%%%%%%%%%%%%%%%A2M↓↑% IGHM↑,%%GC↓↑,%%ApoB↓↑% 13769% % FGA↓↑,%%FGB↓↑,%%FGG↓↑% AFM↓↑,%%CFB↓↑,%% 19143%% ApoH↓↑,%%C4BPA↓↑% ApoA4↓↑%%% LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) Supplementary Figure S2.
    [Show full text]
  • Roles and Mechanisms of Kinesin-6 KIF20A in Spindle Organization During Cell Division T ⁎ Wen-Da Wu, Kai-Wei Yu, Ning Zhong, Yu Xiao, Zhen-Yu She
    European Journal of Cell Biology 98 (2019) 74–80 Contents lists available at ScienceDirect European Journal of Cell Biology journal homepage: www.elsevier.com/locate/ejcb Review Roles and mechanisms of Kinesin-6 KIF20A in spindle organization during cell division T ⁎ Wen-Da Wu, Kai-Wei Yu, Ning Zhong, Yu Xiao, Zhen-Yu She Department of Cell Biology and Genetics/Center for Cell and Developmental Biology, The School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350108, China ARTICLE INFO ABSTRACT Keywords: Mitotic kinesin is crucial for spindle assembly and chromosome segregation in cell division. KIF20A/MKlp2, a Kinesin-6 member of kinesin-6 subfamily, plays important roles in the central spindle organization at anaphase and cy- KIF20A tokinesis. In this review, we briefly introduce the discovery and classification of kinesin-6 motors in model Microtubule organisms, and summarize the biochemical features and mechanics of KIF20A proteins. We emphasize the Anaphase complicated interactions of KIF20A with partner proteins, including MKlp1, Plk1 and Rab6. Particularly, we Spindle assembly highlight the regulation of Cdk1 and chromosomal passenger complex on kinesin-6 KIF20A at late stage of Mitosis mitosis. We summarized the multiple functions of KIF20A in central spindle assembly and the formation of cleavage furrow in both mitosis and meiosis. In addition, we conclude the expression patterns of KIF20A in tumorigenesis and its applications in tumor therapy. 1. Introduction kinesin superfamily proteins (Miki et al., 2005). Kinesin-6 subfamily is comprised of KIF20A (Lawrence et al., 2004), KIF20B (MPP1) Kinesin superfamily proteins (KIFs) are molecular motors that (Kamimoto et al., 2001; Matsumoto-Taniura et al., 1996; Westendorf mediate the transport of various cargos, including the newly synthe- et al., 1994) and MKlp1 (Lawrence et al., 2004; Nislow et al., 1990; sized protein complexes, vesicles and mRNAs along the microtubule Sellitto and Kuriyama, 1988).
    [Show full text]
  • NIH Public Access Author Manuscript Pharmacogenet Genomics
    NIH Public Access Author Manuscript Pharmacogenet Genomics. Author manuscript; available in PMC 2012 September 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Pharmacogenet Genomics. 2011 September ; 21(9): 607–613. doi:10.1097/FPC.0b013e3283415515. PharmGKB summary: very important pharmacogene information for PTGS2 Caroline F. Thorna, Tilo Grosserc, Teri E. Kleina, and Russ B. Altmana,b aDepartment of Genetics, Stanford University Medical Center, Stanford, California bDepartment of Bioengineering, Stanford University Medical Center, Stanford, California cInstitute for Translational Medicine and Therapeutics, University of Pennsylvania, Pennsylvania, USA Keywords cyclooxygenase-2; coxibs; non-steroidal anti-inflammatory drugs; pharmacogenomics; PTGS2; rs20417; rs5275; rs689466 Very important pharmacogene: PTGS2 This PharmGKB summary briefly discusses the PTGS2 gene and current understanding of its function, structure, regulation, and pharmacogenomic relevance. We also present three variants with pharmacogenomic significance and highlight the gaps in our knowledge of PTGS2-drug interactions. Overview The PTGS2 gene codes for prostaglandin G/H synthase-2, which catalyses the first two steps in the metabolism of arachadonic acid. Prostaglandin G/H synthase-2 has two active sites, a hydroperoxidase and a cyclooxygenase (COX) site, and is colloquially termed COX-2. The bifunctional enzyme performs the bis-dioxygenation and reduction of arachadonic acid to form prostaglandin (PG)G2 and H2. PGH2 is then converted to other PGs that modulate inflammation, including PGD2, PGE2, PGF2α, PGI2, and thromboxane A2 (This pathway is shown in the Lipid maps database at http://www.lipidmaps.org/data/IntegratedPathways Data/SetupIntegratedPathways.pl? imgsize=730&Mode=RAW2647&DataType=FAEicosanoidsMedia). COX-2 is the target for nonsteroidal anti-inflammatory drugs (NSAIDS) including those that were purposefully designed (pd) to be selective for COX-2 (pdNSAIDs or coxibs).
    [Show full text]
  • Environmental Influences on Endothelial Gene Expression
    ENDOTHELIAL CELL GENE EXPRESSION John Matthew Jeff Herbert Supervisors: Prof. Roy Bicknell and Dr. Victoria Heath PhD thesis University of Birmingham August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Tumour angiogenesis is a vital process in the pathology of tumour development and metastasis. Targeting markers of tumour endothelium provide a means of targeted destruction of a tumours oxygen and nutrient supply via destruction of tumour vasculature, which in turn ultimately leads to beneficial consequences to patients. Although current anti -angiogenic and vascular targeting strategies help patients, more potently in combination with chemo therapy, there is still a need for more tumour endothelial marker discoveries as current treatments have cardiovascular and other side effects. For the first time, the analyses of in-vivo biotinylation of an embryonic system is performed to obtain putative vascular targets. Also for the first time, deep sequencing is applied to freshly isolated tumour and normal endothelial cells from lung, colon and bladder tissues for the identification of pan-vascular-targets. Integration of the proteomic, deep sequencing, public cDNA libraries and microarrays, delivers 5,892 putative vascular targets to the science community.
    [Show full text]
  • 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.
    [Show full text]
  • DF6720-MSMB Antibody
    Affinity Biosciences website:www.affbiotech.com order:[email protected] MSMB Antibody Cat.#: DF6720 Concn.: 1mg/ml Mol.Wt.: 13kDa Size: 50ul,100ul,200ul Source: Rabbit Clonality: Polyclonal Application: WB 1:500-1:2000, IHC 1:50-1:200, ELISA(peptide) 1:20000-1:40000 *The optimal dilutions should be determined by the end user. Reactivity: Human,Mouse Purification: The antiserum was purified by peptide affinity chromatography using SulfoLink™ Coupling Resin (Thermo Fisher Scientific). Specificity: MSMB Antibody detects endogenous levels of total MSMB. Immunogen: A synthesized peptide derived from human MSMB, corresponding to a region within the internal amino acids. Uniprot: P08118 Description: The protein encoded by this gene is a member of the immunoglobulin binding factor family. It is synthesized by the epithelial cells of the prostate gland and secreted into the seminal plasma. This protein has inhibin-like activity. It may have a role as an autocrine paracrine factor in uterine, breast and other female reproductive tissues. The expression of the encoded protein is found to be decreased in prostate cancer. Two alternatively spliced transcript variants encoding different isoforms are described for this gene. The use of alternate polyadenylation sites has been found for this gene. Storage Condition and Rabbit IgG in phosphate buffered saline , pH 7.4, 150mM Buffer: NaCl, 0.02% sodium azide and 50% glycerol.Store at -20 °C.Stable for 12 months from date of receipt. Western blot analysis of HepG2 cell lysates, using MSMB Antibody. The lane on the left was treated with the antigen- specific peptide. 1 / 2 Affinity Biosciences website:www.affbiotech.com order:[email protected] DF6720 at 1/100 staining Mouse liver tissue by IHC-P.
    [Show full text]
  • Noninvasive Sleep Monitoring in Large-Scale Screening of Knock-Out Mice
    bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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-ND 4.0 International license. Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes Shreyas S. Joshi1*, Mansi Sethi1*, Martin Striz1, Neil Cole2, James M. Denegre2, Jennifer Ryan2, Michael E. Lhamon3, Anuj Agarwal3, Steve Murray2, Robert E. Braun2, David W. Fardo4, Vivek Kumar2, Kevin D. Donohue3,5, Sridhar Sunderam6, Elissa J. Chesler2, Karen L. Svenson2, Bruce F. O'Hara1,3 1Dept. of Biology, University of Kentucky, Lexington, KY 40506, USA, 2The Jackson Laboratory, Bar Harbor, ME 04609, USA, 3Signal solutions, LLC, Lexington, KY 40503, USA, 4Dept. of Biostatistics, University of Kentucky, Lexington, KY 40536, USA, 5Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA. 6Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA. *These authors contributed equally Address for correspondence and proofs: Shreyas S. Joshi, Ph.D. Dept. of Biology University of Kentucky 675 Rose Street 101 Morgan Building Lexington, KY 40506 U.S.A. Phone: (859) 257-2805 FAX: (859) 257-1717 Email: [email protected] Running title: Sleep changes in knockout mice bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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.
    [Show full text]
  • Low Abundance of the Matrix Arm of Complex I in Mitochondria Predicts Longevity in Mice
    ARTICLE Received 24 Jan 2014 | Accepted 9 Apr 2014 | Published 12 May 2014 DOI: 10.1038/ncomms4837 OPEN Low abundance of the matrix arm of complex I in mitochondria predicts longevity in mice Satomi Miwa1, Howsun Jow2, Karen Baty3, Amy Johnson1, Rafal Czapiewski1, Gabriele Saretzki1, Achim Treumann3 & Thomas von Zglinicki1 Mitochondrial function is an important determinant of the ageing process; however, the mitochondrial properties that enable longevity are not well understood. Here we show that optimal assembly of mitochondrial complex I predicts longevity in mice. Using an unbiased high-coverage high-confidence approach, we demonstrate that electron transport chain proteins, especially the matrix arm subunits of complex I, are decreased in young long-living mice, which is associated with improved complex I assembly, higher complex I-linked state 3 oxygen consumption rates and decreased superoxide production, whereas the opposite is seen in old mice. Disruption of complex I assembly reduces oxidative metabolism with concomitant increase in mitochondrial superoxide production. This is rescued by knockdown of the mitochondrial chaperone, prohibitin. Disrupted complex I assembly causes premature senescence in primary cells. We propose that lower abundance of free catalytic complex I components supports complex I assembly, efficacy of substrate utilization and minimal ROS production, enabling enhanced longevity. 1 Institute for Ageing and Health, Newcastle University, Newcastle upon Tyne NE4 5PL, UK. 2 Centre for Integrated Systems Biology of Ageing and Nutrition, Newcastle University, Newcastle upon Tyne NE4 5PL, UK. 3 Newcastle University Protein and Proteome Analysis, Devonshire Building, Devonshire Terrace, Newcastle upon Tyne NE1 7RU, UK. Correspondence and requests for materials should be addressed to T.v.Z.
    [Show full text]
  • Analysis of the Dynamics of Limb Transcriptomes During Mouse Development Istvan Gyurján1, Bernhard Sonderegger1, Felix Naef1,2 and Denis Duboule1,3*
    Gyurján et al. BMC Developmental Biology 2011, 11:47 http://www.biomedcentral.com/1471-213X/11/47 RESEARCH ARTICLE Open Access Analysis of the dynamics of limb transcriptomes during mouse development Istvan Gyurján1, Bernhard Sonderegger1, Felix Naef1,2 and Denis Duboule1,3* Abstract Background: The development of vertebrate limbs has been a traditional system to study fundamental processes at work during ontogenesis, such as the establishment of spatial cellular coordinates, the effect of diffusible morphogenetic molecules or the translation between gene activity and morphogenesis. In addition, limbs are amongst the first targets of malformations in human and they display a huge realm of evolutionary variations within tetrapods, which make them a paradigm to study the regulatory genome. Results: As a reference resource for future biochemical and genetic analyses, we used genome-wide tiling arrays to establish the transcriptomes of mouse limb buds at three different stages, during which major developmental events take place. We compare the three time-points and discuss some aspects of these datasets, for instance related to transcriptome dynamics or to the potential association between active genes and the distribution of intergenic transcriptional activity. Conclusions: These datasets provide a valuable resource, either for research projects involving gene expression and regulation in developing mouse limbs, or as examples of tissue-specific, genome-wide transcriptional activities. Background regulators of the dorso-ventral (DV) patterning are Limb development has fascinated biologists for a cen- Wnt7a, expressed in dorsal ectoderm, and Engrailed,in tury, mostly because of the importance of these struc- ventral ectoderm, as well as Lmxb1,agenetranscribed tures in the evolution of land vertebrates and due to in dorsal mesenchyme.
    [Show full text]
  • Noelia Díaz Blanco
    Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr.
    [Show full text]