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Integrative Genomic and Epigenomic Analyses Identified IRAK1 As a Novel Target for Chronic Inflammation-Driven Prostate Tumorigenesis
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.16.447920; this version posted June 16, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Integrative genomic and epigenomic analyses identified IRAK1 as a novel target for chronic inflammation-driven prostate tumorigenesis Saheed Oluwasina Oseni1,*, Olayinka Adebayo2, Adeyinka Adebayo3, Alexander Kwakye4, Mirjana Pavlovic5, Waseem Asghar5, James Hartmann1, Gregg B. Fields6, and James Kumi-Diaka1 Affiliations 1 Department of Biological Sciences, Florida Atlantic University, Florida, USA 2 Morehouse School of Medicine, Atlanta, Georgia, USA 3 Georgia Institute of Technology, Atlanta, Georgia, USA 4 College of Medicine, Florida Atlantic University, Florida, USA 5 Department of Computer and Electrical Engineering, Florida Atlantic University, Florida, USA 6 Department of Chemistry & Biochemistry and I-HEALTH, Florida Atlantic University, Florida, USA Corresponding Author: [email protected] (S.O.O) Running Title: Chronic inflammation signaling in prostate tumorigenesis bioRxiv preprint doi: https://doi.org/10.1101/2021.06.16.447920; this version posted June 16, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Abstract The impacts of many inflammatory genes in prostate tumorigenesis remain understudied despite the increasing evidence that associates chronic inflammation with prostate cancer (PCa) initiation, progression, and therapy resistance. -
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. -
Mir-379 Deletion Ameliorates Features of Diabetic Kidney Disease By
ARTICLE https://doi.org/10.1038/s42003-020-01516-w OPEN miR-379 deletion ameliorates features of diabetic kidney disease by enhancing adaptive mitophagy via FIS1 ✉ Mitsuo Kato 1,8 , Maryam Abdollahi 1,8, Ragadeepthi Tunduguru1, Walter Tsark2, Zhuo Chen 1, 1234567890():,; Xiwei Wu3, Jinhui Wang3, Zhen Bouman Chen 1,4, Feng-Mao Lin1, Linda Lanting1, Mei Wang1, Janice Huss5, ✉ Patrick T Fueger 5,6, David Chan7 & Rama Natarajan 1,4 Diabetic kidney disease (DKD) is a major complication of diabetes. Expression of members of the microRNA (miRNA) miR-379 cluster is increased in DKD. miR-379, the most upstream 5′-miRNA in the cluster, functions in endoplasmic reticulum (ER) stress by targeting EDEM3. However, the in vivo functions of miR-379 remain unclear. We created miR-379 knockout (KO) mice using CRISPR-Cas9 nickase and dual guide RNA technique and characterized their phenotype in diabetes. We screened for miR-379 targets in renal mesangial cells from WT vs. miR-379KO mice using AGO2-immunopreciptation and CLASH (cross-linking, ligation, sequencing hybrids) and identified the redox protein thioredoxin and mitochondrial fission-1 protein. miR-379KO mice were protected from features of DKD as well as body weight loss associated with mitochondrial dysfunction, ER- and oxidative stress. These results reveal a role for miR-379 in DKD and metabolic processes via reducing adaptive mitophagy. Strate- gies targeting miR-379 could offer therapeutic options for DKD. 1 Department of Diabetes Complications and Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 East Duarte Road, Duarte, CA 91010, USA. -
Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins
International Journal of Molecular Sciences Article Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins M. Quadir Siddiqui 1,† , Maulik D. Badmalia 1,† and Trushar R. Patel 1,2,3,* 1 Alberta RNA Research and Training Institute, Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive, Lethbridge, AB T1K 3M4, Canada; [email protected] (M.Q.S.); [email protected] (M.D.B.) 2 Department of Microbiology, Immunology and Infectious Disease, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive, Calgary, AB T2N 4N1, Canada 3 Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB T6G 2E1, Canada * Correspondence: [email protected] † These authors contributed equally to the work. Abstract: Members of the human Zyxin family are LIM domain-containing proteins that perform critical cellular functions and are indispensable for cellular integrity. Despite their importance, not much is known about their structure, functions, interactions and dynamics. To provide insights into these, we used a set of in-silico tools and databases and analyzed their amino acid sequence, phylogeny, post-translational modifications, structure-dynamics, molecular interactions, and func- tions. Our analysis revealed that zyxin members are ohnologs. Presence of a conserved nuclear export signal composed of LxxLxL/LxxxLxL consensus sequence, as well as a possible nuclear localization signal, suggesting that Zyxin family members may have nuclear and cytoplasmic roles. The molecular modeling and structural analysis indicated that Zyxin family LIM domains share Citation: Siddiqui, M.Q.; Badmalia, similarities with transcriptional regulators and have positively charged electrostatic patches, which M.D.; Patel, T.R. -
UBQLN2 Polyclonal Antibody C-Terminal Ubiquitin-Associated Domain
UBQLN2 polyclonal antibody C-terminal ubiquitin-associated domain. They physically associate with both proteasomes and ubiquitin ligases, Catalog Number: PAB1699 and thus thought to functionally link the ubiquitination machinery to the proteasome to affect in vivo protein Regulatory Status: For research use only (RUO) degradation. This ubiquilin has also been shown to bind the ATPase domain of the Hsp70-like Stch protein. Product Description: Rabbit polyclonal antibody raised [provided by RefSeq] against synthetic peptide of UBQLN2. References: Immunogen: A synthetic peptide (conjugated with KLH) 1. Structural studies of the interaction between ubiquitin corresponding to C-terminus of human UBQLN2. family proteins and proteasome subunit S5a. Walters KJ, Kleijnen MF, Goh AM, Wagner G, Howley PM. Host: Rabbit Biochemistry. 2002 Feb 12;41(6):1767-77. 2. The hPLIC proteins may provide a link between the Reactivity: Human ubiquitination machinery and the proteasome. Kleijnen Applications: WB-Ce MF, Shih AH, Zhou P, Kumar S, Soccio RE, Kedersha (See our web site product page for detailed applications NL, Gill G, Howley PM. Mol Cell. 2000 Aug;6(2):409-19. information) 3. Selection system for genes encoding nuclear-targeted proteins. Ueki N, Oda T, Kondo M, Yano K, Noguchi T, Protocols: See our web site at Muramatsu M. Nat Biotechnol. 1998 http://www.abnova.com/support/protocols.asp or product Dec;16(13):1338-42. page for detailed protocols Form: Liquid Purification: Protein G purification Recommend Usage: Western Blot (1:1000) The optimal working dilution should be determined by the end user. Storage Buffer: In PBS (0.09% sodium azide) Storage Instruction: Store at 4°C. -
(12) Patent Application Publication (10) Pub. No.: US 2005/0010974A1 Milligan Et Al
US 20050010974A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2005/0010974A1 Milligan et al. (43) Pub. Date: Jan. 13, 2005 (54) PROMOTERS FOR REGULATION OF GENE Publication Classification EXPRESSION IN PLANT ROOTS (51) Int. Cl." ............................ C12N 15/82; C12O 1/68; (76) Inventors: Stephen B Milligan, Kirkland, WA C12N 15/87; C12N 15/63; (US); Dale Skalla, Research Triangle C12N 15/85; C12N 5/10; Park, NC (US); Kay Lawton, Research C12N 15/09; CO7H 21/04 Triangle Park, NC (US) (52) U.S. Cl. ..................... 800/287; 536/23.6; 435/320.1; 435/455; 435/419; 435/468; Correspondence Address: 800/278; 435/6; 536/24.33 Randee S Schwatz Syngenta Biotechnology 3054 Cornwallis Road (57) ABSTRACT Research Triangle Park, NC 27709 (US) The present invention is directed to promoters isolated from (21) Appl. No.: 10/490,147 maize and functional equivalents thereto. The promoters of the present invention have particular utility in driving root (22) PCT Filed: Nov. 4, 2002 Specific expression of heterologous genes that impart (86) PCT No.: PCT/US02/35374 increased agronomic, horticultural and/or pesticidal charac teristics to a given promoters of the invention and trans (30) Foreign Application Priority Data formed plant tissues containing DNA molecules comprising a promoter of the invention operably linked to a heterolo Nov. 7, 2001 (US)........................................... 60337026 gous gene or genes, and Seeds thereof. US 2005/0010974 A1 Jan. 13, 2005 PROMOTERS FOR REGULATION OF GENE latory Sequences may be short regions of DNA sequence EXPRESSION IN PLANT ROOTS 6-100 base pairs that define the binding sites for trans-acting factors, Such as transcription factors. -
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. -
Downloaded and Searched Against the Dbest Database to Identify Ests
BMC Genomics BioMed Central Research article Open Access A transcription map of the 6p22.3 reading disability locus identifying candidate genes Eric R Londin1, Haiying Meng2 and Jeffrey R Gruen*2 Address: 1Graduate Program in Genetics, State University of New York at Stony Brook, NY, USA and 2Yale Child Health Research Center, Department of Pediatrics, Yale University School of Medicine, New Haven, CT, USA Email: Eric R Londin - [email protected]; Haiying Meng - [email protected]; Jeffrey R Gruen* - [email protected] * Corresponding author Published: 30 June 2003 Received: 22 April 2003 Accepted: 30 June 2003 BMC Genomics 2003, 4:25 This article is available from: http://www.biomedcentral.com/1471-2164/4/25 © 2003 Londin et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. reading disabilitydyslexia6p22.3In silicoESTs Abstract Background: Reading disability (RD) is a common syndrome with a large genetic component. Chromosome 6 has been identified in several linkage studies as playing a significant role. A more recent study identified a peak of transmission disequilibrium to marker JA04 (G72384) on chromosome 6p22.3, suggesting that a gene is located near this marker. Results: In silico cloning was used to identify possible candidate genes located near the JA04 marker. The 2 million base pairs of sequence surrounding JA04 was downloaded and searched against the dbEST database to identify ESTs. In total, 623 ESTs from 80 different tissues were identified and assembled into 153 putative coding regions from 19 genes and 2 pseudogenes encoded near JA04. -
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. -
1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
Anti-P4HA2 (Aa 289-338) Polyclonal Antibody (DPABH-10980) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Anti-P4HA2 (aa 289-338) polyclonal antibody (DPABH-10980) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Antigen Description Catalyzes the post-translational formation of 4-hydroxyproline in -Xaa-Pro-Gly- sequences in collagens and other proteins. Immunogen Synthetic peptide corresponding to a region within C terminal amino acids 289-338 (VYESLCRGEG VKLTPRRQKR LFCRYHHGNR APQLLIAPFK EEDEWDSPHI) of Human P4HA2, isoform 2 (NP_001017973). Isotype IgG Source/Host Rabbit Species Reactivity Human Purification Immunogen affinity purified Conjugate Unconjugated Applications IHC - Wholemount, WB Format Liquid Size 50 μg Buffer Constituents: 97% PBS, 2% Sucrose Preservative None Storage Shipped at 4°C. Upon delivery aliquot and store at -20°C. Avoid repeated freeze / thaw cycles. GENE INFORMATION Gene Name P4HA2 prolyl 4-hydroxylase, alpha polypeptide II [ Homo sapiens ] Official Symbol P4HA2 Synonyms P4HA2; prolyl 4-hydroxylase, alpha polypeptide II; procollagen proline, 2 oxoglutarate 4 dioxygenase (proline 4 hydroxylase), alpha polypeptide II; prolyl 4-hydroxylase subunit alpha-2; 4 PH alpha 2; C P4Halpha(II); collagen prolyl 4 hydroxylase alpha(II); 4-PH alpha 2; 4-PH alpha-2; 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 1 © Creative Diagnostics All Rights Reserved C-P4Halpha(II); collagen prolyl 4-hydroxylase alpha(II); procollagen-proline,2-oxoglutarate-4- dioxygenase subunit alpha-2; procollagen-proline, 2-oxoglutarate -
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.