Multispecies Comparative Analysis of a Mammalian-Specific Genomic Domain Encoding Secretory Proteins
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Database of Cattle Candidate Genes and Genetic Markers for Milk Production and Mastitis
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PubMed Central doi:10.1111/j.1365-2052.2009.01921.x Database of cattle candidate genes and genetic markers for milk production and mastitis J. Ogorevc*, T. Kunej*, A. Razpet and P. Dovc Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domzale, Slovenia Summary A cattle database of candidate genes and genetic markers for milk production and mastitis has been developed to provide an integrated research tool incorporating different types of information supporting a genomic approach to study lactation, udder development and health. The database contains 943 genes and genetic markers involved in mammary gland development and function, representing candidates for further functional studies. The candidate loci were drawn on a genetic map to reveal positional overlaps. For identification of candidate loci, data from seven different research approaches were exploited: (i) gene knockouts or transgenes in mice that result in specific phenotypes associated with mam- mary gland (143 loci); (ii) cattle QTL for milk production (344) and mastitis related traits (71); (iii) loci with sequence variations that show specific allele-phenotype interactions associated with milk production (24) or mastitis (10) in cattle; (iv) genes with expression profiles associated with milk production (207) or mastitis (107) in cattle or mouse; (v) cattle milk protein genes that exist in different genetic variants (9); (vi) miRNAs expressed in bovine mammary gland (32) and (vii) epigenetically regulated cattle genes associated with mammary gland function (1). Fourty-four genes found by multiple independent analyses were suggested as the most promising candidates and were further in silico analysed for expression levels in lactating mammary gland, genetic variability and top biological func- tions in functional networks. -
Transcriptional Regulation Differs in Affected Facioscapulohumeral Muscular Dystrophy Patients Compared to Asymptomatic Related Carriers
University of Massachusetts Medical School eScholarship@UMMS Wellstone Center for FSHD Publications Wellstone Center for FSHD 2009-04-14 Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers Patricia Arashiro University of Sao Paulo Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/wellstone_pubs Part of the Cell Biology Commons, Developmental Biology Commons, Molecular Biology Commons, Molecular Genetics Commons, Musculoskeletal Diseases Commons, and the Nervous System Diseases Commons Repository Citation Arashiro P, Eisenberg I, Kho AT, Cerqueira AM, Canovas M, Silva HC, Pavanello RC, Verjovski-Almeida S, Kunkel LM, Zatz M. (2009). Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers. Wellstone Center for FSHD Publications. https://doi.org/10.1073/pnas.0901573106. Retrieved from https://escholarship.umassmed.edu/ wellstone_pubs/18 This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Wellstone Center for FSHD Publications by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers Patricia Arashiroa, Iris Eisenbergb, Alvin T. Khoc, Antonia M. P. Cerqueiraa, Marta -
Identification of Novel Nasopharyngeal Carcinoma
Imaging, Diagnosis, Prognosis Identification of Novel Nasopharyngeal Carcinoma Biomarkers by Laser Capture Microdissection and Proteomic Analysis Ai-Lan Cheng,1, 3 Wei-Guo Huang,1, 3 Zhu-Chu Chen,1, 2 Fang Peng,1Peng-Fei Zhang,1Mao-Yu Li,1 Feng Li,1, 2 Jian-Ling Li,1Cui Li,1Hong Yi,1Bin Yi,1and Zhi-Qiang Xiao1 Abstract Purpose: To identify novel nasopharyngeal carcinoma (NPC) biomarkers by laser capture microdissection and a proteomic approach. Experimental Design: Proteins from pooled microdissected NPC and normal nasopharyngeal epithelial tissues (NNET) were separated by two-dimensional gel electrophoresis, and differential proteins were identified by mass spectrometry. Expression of three differential proteins (stathmin, 14 -3 -3j, and annexin I) in the above two tissues as well as four NPC cell lines was determined by Western blotting. Immunohistochemistry was also done to detect the expression ofthree differential proteins in 98 cases of primary NPC, 30 cases of NNET, and 20 cases of cervical lymph node metastases, and the correlation oftheir expression levels with clinicopathologic features and clinical outcomes were evaluated. Results: Thirty-six differential proteins between the NPC and NNET were identified. The expression levels ofstathmin, 14-3-3 j, and annexin I in the two types oftissues were confirmed and related to differentiation degree and/or metastatic potential of the NPC cell lines. Significant stathmin up-regulation and down-regulation of14-3-3 j and annexin I were observed in NPC versus NNET, and significant down-regulation of 14-3-3j and annexin I was also observed in lymph node metastasis versus primary NPC. In addition, stathmin up-regulation and down- regulation of14-3-3 j and annexin I were significantly correlated with poor histologic differentiation, advanced clinical stage, and recurrence, whereas down-regulation of 14-3-3j and annexin I was also significantly correlated with lymph node and distant metastasis. -
Effects of B-K-Casein (CSN2-CSN3) Haplotypes and B-Lactoglobulin
J. Dairy Sci. 93 :3797–3808 doi: 10.3168/jds.2009-2778 © American Dairy Science Association®, 2010 . Effects of β-κ-casein (CSN2-CSN3) haplotypes and β-lactoglobulin (BLG) genotypes on milk production traits and detailed protein composition of individual milk of Simmental cows 1 V. Bonfatti ,* G. Di Martino ,* A. Cecchinato ,* D. Vicario ,† and P. Carnier * * Department of Animal Science, University of Padova, viale dell’Università 16, 35020, Legnaro, Padova, Italy † Italian Simmental Cattle Breeders Association, via Nievo 19, 33100, Udine, Italy ABSTRACT and αS1-CN. Estimated additive genetic variance for investigated traits ranged from 14 to 39% of total vari- The aim of this study was to investigate the effects ance. Increasing the frequency of specific genotypes or of CSN2-CSN3 (β-κ-casein) haplotypes and BLG haplotypes by selective breeding might be an effective (β-lactoglobulin) genotypes on milk production traits, way to change milk protein composition. content of protein fractions, and detailed protein compo- Key words: casein haplotypes , BLG genotype , milk sition of individual milk of Simmental cows. Content of protein composition , Simmental the major protein fractions was measured by reversed- phase HPLC in individual milk samples of 2,167 cows. INTRODUCTION Protein composition was measured as percentage of each casein (CN) fraction to total CN and as percent- Most research concerning milk protein polymor- age of β-lactoglobulin (β-LG) to total whey protein. phisms has focused on the associations of CSN3 (κ-CN) Genotypes at CSN2, CSN3, and BLG were ascertained and BLG (β-LG) polymorphisms with milk production by reversed-phase HPLC, and CSN2-CSN3 haplotype traits, coagulation time, curd firmness, and cheese yield. -
(12) Patent Application Publication (10) Pub. No.: US 2014/0186843 A1 ZHANG Et Al
US 2014O186843A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2014/0186843 A1 ZHANG et al. (43) Pub. Date: Jul. 3, 2014 (54) METHODS, SYSTEMS, AND APPARATUS FOR (22) Filed: Dec. 12, 2013 IDENTIFYING TARGET SEQUENCES FOR CAS ENZYMES OR CRISPR-CAS SYSTEMIS Related U.S. Application Data FORTARGET SEQUENCES AND (60) Provisional application No. 61/736,527, filed on Dec. CONVEYING RESULTS THEREOF 12, 2012, provisional application No. 61/748,427, filed on Jan. 2, 2013, provisional application No. (71) Applicants: Massachusetts Institute of Technology, 61/791,409, filed on Mar. 15, 2013, provisional appli Cambridge, MA (US): THE BROAD cation No. 61/835,931, filed on Jun. 17, 2013. INSTITUTE, INC., Cambridge, MA (US) Publication Classification (72) Inventors: Feng ZHANG, Cambridge, MA (US); (51) Int. C. Naomi HABIB, Cambridge, MA (US) CI2O I/68 (2006.01) (52) U.S. C. (73) Assignees: Massachusetts Institute of Technology, CPC ...................................... CI2O I/686 (2013.01) Cambridge, MA (US): THE BROAD USPC ....................................... 435/6.12: 435/287.2 INSTITUTE, INC., Cambridge, MA (US) (57) ABSTRACT Disclosed are locational or positional methods concerning (21) Appl. No.: 14/104,900 CRISPR-Cas systems, and apparatus therefor. Patent Application Publication Jul. 3, 2014 Sheet 1 of 50 US 2014/O186843 A1 s g:23:3:3: 83: FIG. 1 Patent Application Publication Jul. 3, 2014 Sheet 2 of 50 US 2014/O186843 A1 §§§§ §§§§§§ Patent Application Publication Jul. 3, 2014 Sheet 3 of 50 US 2014/O186843 A1 NLs SpCass GFP SpCass GFP NS NLS Spass GFP LS 8 N.S. tery RNase Sp RNase is Cerry NS FG. -
Genome Variants Associated with RNA Splicing Variation in Bovine Are
bioRxiv preprint doi: https://doi.org/10.1101/220251; this version posted April 5, 2018. 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-ND 4.0 International license. 1 Genome variants associated with RNA splicing variation in bovine are 2 extensively shared between tissues 3 Ruidong Xiang1,2,*, Ben J. Hayes2,3, Christy J. Vander Jagt2, Iona M. MacLeod2, Majid 4 Khansefid2, Phil J. Bowman2,6, Zehu Yuan2, Claire P. Prowse-Wilkins2, Coralie M. Reich2, 5 Brett A. Mason2, Josie B. Garner4, Leah C. Marett4, Yizhou Chen5, Sunduimijid Bolormaa2, 6 Hans D. Daetwyler2,6, Amanda J. Chamberlain2 and Michael E. Goddard1,2 7 1Faculty of Veterinary & Agricultural Science, University of Melbourne, Parkville, VIC 3010, 8 Australia. 2Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083, 9 Australia. 3Queensland Alliance for Agriculture and Food Innovation, Centre for Animal 10 Science, University of Queensland, St. Lucia, QLD 4067, Australia. 4Agriculture Victoria, 11 Dairy Production Science, Ellinbank, VIC, 3821, Australia. 5Elizabeth Macarthur 12 Agricultural Institute, New South Wales Department of Primary Industries, Camden, NSW 13 2570, Australia. 6School of Applied Systems Biology, La Trobe University, Bundoora, VIC 14 3083, Australia. 15 *Corresponding author: Dr. Ruidong Xiang; 16 Ruidong Xiang: [email protected]; 17 Ben J. Hayes: [email protected]; 18 Christy J. Vander Jagt: [email protected]; 19 Iona M. MacLeod: [email protected]; 20 Majid Khansefid: [email protected]; 21 Phil J. -
Transcriptome Signature of the Lactation Process in a Fat-Tailed Sheep Identifes with Integrative Approach of RNA-Seq and Supervised Machine Learning Models
Transcriptome signature of the lactation process in a fat-tailed sheep identies with integrative approach of RNA-Seq and Supervised Machine Learning models Mohammad Farhadian ( [email protected] ) University of Tabriz Seyed Abbas Rafat University of Tabriz Bahman Panahi ABRII Esmaeil Ebrahimie The University of Adelaide Research article Keywords: RNA-Seq, Milk, Sheep, Gene network, Gene Ontology Posted Date: July 18th, 2019 DOI: https://doi.org/10.21203/rs.2.11678/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/26 Abstract Background The mammary gland is a vital organ in mammalian that undergoes a substantial physiological transformation during the lactation process. Understanding the underlying molecular mechanism of the lactation process in the mammary gland is essential to unravel of the complexity of milk production process. This study was investigated the transcriptome proles of milk between two time point of lactation (day 20 as before peak time point (BF) and day 70 as after peak(AF)) in Iranian fat- tailed Ghezel sheep breed. Functional impacts of differentially expressed genes (DEGs) between two time points of the lactation were surveyed with Gene Ontology (GO) and Protein-Protein Interaction (PPI) network analysis. Moreover, to identify the transcriptome signature of the lactation process, supervised machine learning algorithms were integrated. Results Totally, 75 genes were dened as DEGs between BF and AF of lactation. Gene ontology of DEGs mainly enriched in metabolic process and oxidative phosphorylation. Moreover, PPI networks analysis highlighted the contribution of peroxisome proliferator- activated receptors (PPAR) signaling in the lactation process, oxidative phosphorylation and metabolic pathways. -
Localization of the Genes for Histatins to Human Chromosome 4Q13 and Tissue Distribution of the Mrnas Johanna C
Am. J. Hum. Genet. 45:381-387, 1989 Localization of the Genes for Histatins to Human Chromosome 4q13 and Tissue Distribution of the mRNAs Johanna C. vanderSpek, * Herman E. Wyandt,t James C. Skare, * T Aubrey Milunsky,t Frank G. Oppenheim,*qt and Robert F. Troxler*it *Department of Biochemistry and MCenter for Human Genetics, Boston University School of Medicine; and $Department of Oral Biology, Goldman School of Graduate Dentistry, Boston Summary A cDNA coding for histatin 1 was isolated from a human submandibular-gland library and sequenced. This cDNA was used to probe RNAs isolated from a variety of tissues to investigate tissue-specific regula- tion and to determine whether histatins might play a role other than in the oral cavity. The same probe was also used for Southern blot analysis of human genomic DNA restricted with various enzymes, and it showed that the genes coding for histatins are on the same chromosome. In situ hybridization of the cDNA probe to metaphase chromosome spreads was performed to determine chromosomal location of the genes for histatins. A genomic fragment isolated using the cDNA probe was also hybridized to chromo- some spreads, and the same chromosome was identified. The genes for histatins are located on chromo- some 4, band q13. We have shown that three histatin mRNAs are expressed in human parotid and sub- mandibular glands but in none of the other tissues studied. These results suggest that histatins are specific to salivary secretions. Introduction Dickinson et al. (1987). Histatins 1, 3, and 5 have been The parotid and submandibular glands of humans se- tested for candidicidal activity, and all have been shown crete a family of small, mostly cationic, histidine-rich to kill Candida albicans blastopores in a dose-dependent proteins termed histatins. -
Functional Specialization of Human Salivary Glands and Origins of Proteins Intrinsic to Human Saliva
UCSF UC San Francisco Previously Published Works Title Functional Specialization of Human Salivary Glands and Origins of Proteins Intrinsic to Human Saliva. Permalink https://escholarship.org/uc/item/95h5g8mq Journal Cell reports, 33(7) ISSN 2211-1247 Authors Saitou, Marie Gaylord, Eliza A Xu, Erica et al. Publication Date 2020-11-01 DOI 10.1016/j.celrep.2020.108402 Peer reviewed eScholarship.org Powered by the California Digital Library University of California HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Cell Rep Manuscript Author . Author manuscript; Manuscript Author available in PMC 2020 November 30. Published in final edited form as: Cell Rep. 2020 November 17; 33(7): 108402. doi:10.1016/j.celrep.2020.108402. Functional Specialization of Human Salivary Glands and Origins of Proteins Intrinsic to Human Saliva Marie Saitou1,2,3, Eliza A. Gaylord4, Erica Xu1,7, Alison J. May4, Lubov Neznanova5, Sara Nathan4, Anissa Grawe4, Jolie Chang6, William Ryan6, Stefan Ruhl5,*, Sarah M. Knox4,*, Omer Gokcumen1,8,* 1Department of Biological Sciences, University at Buffalo, The State University of New York, Buffalo, NY, U.S.A 2Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, U.S.A 3Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Viken, Norway 4Program in Craniofacial Biology, Department of Cell and Tissue Biology, School of Dentistry, University of California, San Francisco, CA, U.S.A 5Department of Oral Biology, School of Dental Medicine, University at Buffalo, The State University of New York, Buffalo, NY, U.S.A 6Department of Otolaryngology, School of Medicine, University of California, San Francisco, CA, U.S.A 7Present address: Weill-Cornell Medical College, Physiology and Biophysics Department 8Lead Contact SUMMARY Salivary proteins are essential for maintaining health in the oral cavity and proximal digestive tract, and they serve as potential diagnostic markers for monitoring human health and disease. -
Cellular Senescence Bypass Screen Identifies New Putative Tumor
Oncogene (2008) 27, 1961–1970 & 2008 Nature Publishing Group All rights reserved 0950-9232/08 $30.00 www.nature.com/onc ORIGINAL ARTICLE Cellular senescence bypass screen identifies new putative tumor suppressor genes JFM Leal1, J Fominaya1, A Casco´ n2, MV Guijarro1, C Blanco-Aparicio1, M Lleonart3, ME Castro1, SRamon y Cajal 3, M Robledo2, DH Beach4 and A Carnero1 1Experimental Therapeutics Programme, Centro Nacional de Investigaciones Oncolo´gicas (CNIO), Madrid, Spain; 2Molecular Pathology Programme, Centro Nacional de Investigaciones Oncolo´gicas (CNIO), Madrid, Spain; 3Departamento de Patologı´a, Hospital Vall d’Hebron, Barcelona, Spain and 4Institute for Cell and Molecular Sciences, Center for Cutaneous Biology, London, UK Senescence is a mechanism that limits cellular lifespan and Introduction constitutes a barrier against cellular immortalization. To identify new senescence regulatory genes that might play a Replicative senescence is characterized by a progressive role in tumorigenesis, we have designed and performed a loss of proliferative potential with the increase of popu- large-scale antisense-based genetic screen in primary lation doublings, resulting in a permanent and irrever- mouse embryo fibroblasts (MEFs). Out of this screen, sible cell-cycle arrest. Although the process of senescence we have identified five different genes through which loss occurs both in vitro and in vivo (Dimri et al., 1995; of function partially bypasses senescence. These genes Schmitt et al., 2002; Shay and Roninson, 2004; Braig belong to very different biochemical families: csn2 et al., 2005; Collado et al., 2005; Michaloglou et al., (component of the Cop9 signalosome), aldose reductase 2005), the transition to the senescent phenotype is (a metabolic enzyme) and brf1 (subunit of the RNA commonly studied in culture where a cell population polymerase II complex), S-adenosyl homocysteine hydro- can be grown and monitored. -
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Research Article Title: The shrinking human protein coding complement: are there now fewer than 20,000 genes? Authors: Iakes Ezkurdia1*, David Juan2*, Jose Manuel Rodriguez3, Adam Frankish4, Mark Diekhans5, Jennifer Harrow4, Jesus Vazquez 6, Alfonso Valencia2,3, Michael L. Tress2,*. Affiliations: 1. Unidad de Proteómica, Centro Nacional de Investigaciones Cardiovasculares, CNIC, Melchor Fernández Almagro, 3, rid, 28029, MadSpain 2. Structural Biology and Bioinformatics Programme, Spanish National Cancer Research Centre (CNIO), Melchor Fernández Almagro, 3, 28029, Madrid, Spain 3. National Bioinformatics Institute (INB), Spanish National Cancer Research Centre (CNIO), Melchor Fernández Almagro, 3, 28029, Madrid, Spain 4. Wellcome Trust Sanger Institute, Wellcome Trust Campus, Hinxton, Cambridge CB10 1SA, UK 5. Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), 1156 High Street, Santa Cruz, CA 95064, USA 6. Laboratorio de Proteómica Cardiovascular, Centro Nacional de Investigaciones Cardiovasculares, CNIC, Melchor Fernández Almagro, 3, 28029, Madrid, Spain *: these two authors wish to be considered as joint first authors of the paper. Corresponding author: Michael Tress, [email protected], Tel: +34 91 732 80 00 Fax: +34 91 224 69 76 Running title: Are there fewer than 20,000 protein-coding genes? Keywords: Protein coding genes, proteomics, evolution, genome annotation Abstract Determining the full complement of protein-coding genes is a key goal of genome annotation. The most powerful approach for confirming protein coding potential is the detection of cellular protein expression through peptide mass spectrometry experiments. Here we map the peptides detected in 7 large-scale proteomics studies to almost 60% of the protein coding genes in the GENCODE annotation the human genome. -
Rabbit Anti-COPS3/FITC Conjugated Antibody-SL23085R-FITC
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-COPS3/FITC Conjugated antibody SL23085R-FITC Product Name: Anti-COPS3/FITC Chinese Name: FITC标记的COP9信号复合体亚基3抗体 COP9 Signalosome Complex Subunit 3; CSN10; JAB1 Containing Signalosome Alias: Subunit 3; SGN3; Signalosome Subunit 3; CSN3_HUMAN. Organism Species: Rabbit Clonality: Polyclonal React Species: ICC=1:50-200IF=1:50-200 Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 48kDa Form: Lyophilized or Liquid Concentration: 2mg/1ml immunogen: KLH conjugated synthetic peptide derived from human COPS3 Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Storewww.sunlongbiotech.com at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. background: The protein encoded by this gene possesses kinase activity that phosphorylates regulators involved in signal transduction. It phosphorylates I kappa-Balpha, p105, and c-Jun. It acts as a docking site for complex-mediated phosphorylation. The gene is Product Detail: located within the Smith-Magenis syndrome region on chromosome 17. Two transcript variants encoding different isoforms have been found for this gene. [provided by RefSeq, Nov 2010].