Expression Pattern of Olfactory Receptor Genes in Human Cumulus Cells As an Indicator for Competent Oocyte Selection
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Genetic Variation Across the Human Olfactory Receptor Repertoire Alters Odor Perception
bioRxiv preprint doi: https://doi.org/10.1101/212431; this version posted November 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. Genetic variation across the human olfactory receptor repertoire alters odor perception Casey Trimmer1,*, Andreas Keller2, Nicolle R. Murphy1, Lindsey L. Snyder1, Jason R. Willer3, Maira Nagai4,5, Nicholas Katsanis3, Leslie B. Vosshall2,6,7, Hiroaki Matsunami4,8, and Joel D. Mainland1,9 1Monell Chemical Senses Center, Philadelphia, Pennsylvania, USA 2Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, New York, USA 3Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, USA 4Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, USA 5Department of Biochemistry, University of Sao Paulo, Sao Paulo, Brazil 6Howard Hughes Medical Institute, New York, New York, USA 7Kavli Neural Systems Institute, New York, New York, USA 8Department of Neurobiology and Duke Institute for Brain Sciences, Duke University Medical Center, Durham, North Carolina, USA 9Department of Neuroscience, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA *[email protected] ABSTRACT The human olfactory receptor repertoire is characterized by an abundance of genetic variation that affects receptor response, but the perceptual effects of this variation are unclear. To address this issue, we sequenced the OR repertoire in 332 individuals and examined the relationship between genetic variation and 276 olfactory phenotypes, including the perceived intensity and pleasantness of 68 odorants at two concentrations, detection thresholds of three odorants, and general olfactory acuity. -
Database Tool the Systematic Annotation of the Three Main GPCR
Database, Vol. 2010, Article ID baq018, doi:10.1093/database/baq018 ............................................................................................................................................................................................................................................................................................. Database tool The systematic annotation of the three main Downloaded from https://academic.oup.com/database/article-abstract/doi/10.1093/database/baq018/406672 by guest on 15 January 2019 GPCR families in Reactome Bijay Jassal1, Steven Jupe1, Michael Caudy2, Ewan Birney1, Lincoln Stein2, Henning Hermjakob1 and Peter D’Eustachio3,* 1European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK, 2Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada and 3New York University School of Medicine, New York, NY 10016, USA *Corresponding author: Tel: +212 263 5779; Fax: +212 263 8166; Email: [email protected] Submitted 14 April 2010; Revised 14 June 2010; Accepted 13 July 2010 ............................................................................................................................................................................................................................................................................................. Reactome is an open-source, freely available database of human biological pathways and processes. A major goal of our work is to provide an integrated view of cellular signalling processes that spans from ligand–receptor -
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. -
A Mathematical Paradigm for Designing Full Length
Goswami et al. Genome Biology 2010, 11(Suppl 1):P15 http://genomebiology.com/2010/11/S1/P15 POSTER PRESENTATION Open Access L-Systems: a mathematical paradigm for designing full length human genes and genomes Arunava Goswami1*, Pabitra Pal Choudhury2, Amita Pal3, R L Brahmachary1, Sk Sarif Hassan2 From Beyond the Genome: The true gene count, human evolution and disease genomics Boston, MA, USA. 11-13 October 2010 We have shown how L-Systems can generate both an the whole mitochondrial genome (exons and introns) exon (human OR) and a system containing both exons generated by the L-Systems. and introns (human mitochondria). Ligands for only two human olfactory (OR) receptors are known. One Author details of them, OR1D2, binds to Bourgeonal, a volatile che- 1Biological Sciences Division, Indian Statistical Institute, 203 B. T. Road, mical constituent of the fragrance Lily of the valley Calcutta, 700108, India. 2Applied Statistics Unit, Indian Statistical Institute, 203 3 (Convallaria majalis). OR1D2, OR1D4 and OR1D5 are B. T.Road, Calcutta, 700108, India. Bayesian Interdisciplinary Research Unit (BIRU), Indian Statistical Institute, 203 B. T. Road, Calcutta, 700108, India. three full- length olfactory receptors present in an olfactory locus in human genome. These receptors are Published: 11 October 2010 more than 80% identical in DNA sequences and have 108 base pair mismatches among them. We have used L-system mathematics to show a closely related sub- doi:10.1186/gb-2010-11-S1-P15 family of OR1D2, OR1D4 and OR1D5. Craig Venter’s Cite this article as: Goswami et al.: L-Systems: a mathematical paradigm for designing full length human genes and genomes. -
Microarray-Based Analysis of Genes, Transcription Factors, and Epigenetic Modifications in Lung Cancer Exposed to Nitric Oxide
CANCER GENOMICS & PROTEOMICS 17 : 401-415 (2020) doi:10.21873/cgp.20199 Microarray-based Analysis of Genes, Transcription Factors, and Epigenetic Modifications in Lung Cancer Exposed to Nitric Oxide ARNATCHAI MAIUTHED 1, ORNJIRA PRAKHONGCHEEP 2,3 and PITHI CHANVORACHOTE 2,3 1Department of Pharmacology, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand; 2Cell-based Drug and Health Product Development Research Unit, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand; 3Department of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand Abstract. Background/Aim: Nitric oxide (NO) is recognized NO exposure of lung cancer cells resulted in a change in as an important biological mediator that exerts several transcription factors (TFs) and epigenetic modifications human physiological functions. As its nature is an aqueous (histone modification and miRNA). Interestingly, NO soluble gas that can diffuse through cells and tissues, NO treatment was shown to potentiate cancer stem cell-related can affect cell signaling, the phenotype of cancer and modify genes and transcription factors Oct4, Klf4, and Myc. surrounding cells. The variety of effects of NO on cancer cell Conclusion: Through this comprehensive approach, the biology has convinced researchers to determine the defined present study illustrated the scheme of how NO affects mechanisms of these effects and how to control this mediator molecular events in lung cancer cells. for a better understanding as well as for therapeutic gain. Materials and Methods: We used bioinformatics and Lung cancer is one of the leading causes of cancer-related pharmacological experiments to elucidate the potential deaths worldwide (1, 2). Since the aggressive phenotypes regulation and underlying mechanisms of NO in non-small and treatment failures have been frequently observed in lung a lung cancer cell model. -
Misexpression of Cancer/Testis (Ct) Genes in Tumor Cells and the Potential Role of Dream Complex and the Retinoblastoma Protein Rb in Soma-To-Germline Transformation
Michigan Technological University Digital Commons @ Michigan Tech Dissertations, Master's Theses and Master's Reports 2019 MISEXPRESSION OF CANCER/TESTIS (CT) GENES IN TUMOR CELLS AND THE POTENTIAL ROLE OF DREAM COMPLEX AND THE RETINOBLASTOMA PROTEIN RB IN SOMA-TO-GERMLINE TRANSFORMATION SABHA M. ALHEWAT Michigan Technological University, [email protected] Copyright 2019 SABHA M. ALHEWAT Recommended Citation ALHEWAT, SABHA M., "MISEXPRESSION OF CANCER/TESTIS (CT) GENES IN TUMOR CELLS AND THE POTENTIAL ROLE OF DREAM COMPLEX AND THE RETINOBLASTOMA PROTEIN RB IN SOMA-TO- GERMLINE TRANSFORMATION", Open Access Master's Thesis, Michigan Technological University, 2019. https://doi.org/10.37099/mtu.dc.etdr/933 Follow this and additional works at: https://digitalcommons.mtu.edu/etdr Part of the Cancer Biology Commons, and the Cell Biology Commons MISEXPRESSION OF CANCER/TESTIS (CT) GENES IN TUMOR CELLS AND THE POTENTIAL ROLE OF DREAM COMPLEX AND THE RETINOBLASTOMA PROTEIN RB IN SOMA-TO-GERMLINE TRANSFORMATION By Sabha Salem Alhewati A THESIS Submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE In Biological Sciences MICHIGAN TECHNOLOGICAL UNIVERSITY 2019 © 2019 Sabha Alhewati This thesis has been approved in partial fulfillment of the requirements for the Degree of MASTER OF SCIENCE in Biological Sciences. Department of Biological Sciences Thesis Advisor: Paul Goetsch. Committee Member: Ebenezer Tumban. Committee Member: Zhiying Shan. Department Chair: Chandrashekhar Joshi. Table of Contents List of figures .......................................................................................................................v -
Differentially Methylated Genes
10/30/2013 Disclosures Key Rheumatoid Arthritis-Associated Pathogenic Pathways Revealed by Integrative Analysis of RA Omics Datasets Consultant: IGNYTA Funding: Rheumatology Research Foundation By John W. Whitaker, Wei Wang and Gary S. Firestein DNA methylation and gene regulation The RA methylation signature in FLS DNA methylation – DNMT1 (maintaining methylation) OA – DNMT3a, 3b (de novo methylation) RA % of CpG methylation: 0% 100% Nakano et al. 2013 ARD AA06 AANAT AARS ABCA6 ABCC12 ABCG1 ABHD8 ABL2 ABR ABRA ACACA ACAN ACAP3 ACCSL ACN9 ACOT7 ACOX2 ACP5 ACP6 ACPP ACSL1 ACSL3 ACSM5 ACVRL1 ADAM10 ADAM32 ADAM33 ADAMTS12 ADAMTS15 ADAMTS19 ADAMTS4 ADAT3 ADCK4 ADCK5 ADCY2 ADCY3 ADCY6 ADORA1 ADPGK ADPRHL1 ADTRP AFAP1 AFAP1L2 AFF3 AFG3L1P AGAP11 AGER AGTR1 AGXT AIF1L AIM2 AIRE AJUBA AK4 AKAP12 AKAP2 AKR1C2 AKR1E2 AKT2 ALAS1 ALDH1L1-AS1 ALDH3A1 ALDH3B1 ALDH8A1 ALDOB ALDOC ALOX12 ALPK3 ALS2CL ALX4 AMBRA1 AMPD2 AMPD3 ANGPT1 ANGPT2 ANGPTL5 ANGPTL6 ANK1 ANKMY2 ANKRD29 ANKRD37 ANKRD53 ANO3 ANO6 ANO7 ANP32C ANXA6 ANXA8L2 AP1G1 AP2A2 AP2M1 AP5B1 APBA2 APC APCDD1 APOBEC3B APOBEC3G APOC1 APOH APOL6 APOLD1 APOM AQP1 AQP10 AQP6 AQP9 ARAP1 ARHGAP24 ARHGAP42 ARHGEF19 ARHGEF25 ARHGEF3 ARHGEF37 ARHGEF7 ARL4C ARL6IP 5 ARL8B ARMC3 ARNTL2 ARPP21 ARRB1 ARSI ASAH2B ASB10 ASB2 ASCL2 ASIC4 ASPH ATF3 ATF7 ATL1 ATL3 ATP10A ATP1A1 ATP1A4 ATP2C1 ATP5A1 ATP5EP2 ATP5L2 ATP6V0CP3 ATP6V1C1 ATP6V1E2 ATXN7L1 ATXN7L2 AVPI1 AXIN2 B3GNT7 B3GNT8 B3GNTL1 BACH1 BAG3 Differential methylated genes in RA FLS BAIAP2L2 BANP BATF BATF2 BBS2 BCAS4 BCAT1 BCL7C BDKRB2 BEGAIN BEST1 BEST3 -
WO 2019/068007 Al Figure 2
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/068007 Al 04 April 2019 (04.04.2019) W 1P O PCT (51) International Patent Classification: (72) Inventors; and C12N 15/10 (2006.01) C07K 16/28 (2006.01) (71) Applicants: GROSS, Gideon [EVIL]; IE-1-5 Address C12N 5/10 (2006.0 1) C12Q 1/6809 (20 18.0 1) M.P. Korazim, 1292200 Moshav Almagor (IL). GIBSON, C07K 14/705 (2006.01) A61P 35/00 (2006.01) Will [US/US]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., C07K 14/725 (2006.01) P.O. Box 4044, 7403635 Ness Ziona (TL). DAHARY, Dvir [EilL]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., P.O. (21) International Application Number: Box 4044, 7403635 Ness Ziona (IL). BEIMAN, Merav PCT/US2018/053583 [EilL]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., P.O. (22) International Filing Date: Box 4044, 7403635 Ness Ziona (E.). 28 September 2018 (28.09.2018) (74) Agent: MACDOUGALL, Christina, A. et al; Morgan, (25) Filing Language: English Lewis & Bockius LLP, One Market, Spear Tower, SanFran- cisco, CA 94105 (US). (26) Publication Language: English (81) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of national protection available): AE, AG, AL, AM, 62/564,454 28 September 2017 (28.09.2017) US AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, 62/649,429 28 March 2018 (28.03.2018) US CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, (71) Applicant: IMMP ACT-BIO LTD. -
Olfactory Receptors in Non-Chemosensory Tissues
BMB Reports Invited Mini Review Olfactory receptors in non-chemosensory tissues NaNa Kang & JaeHyung Koo* Department of Brain Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 711-873, Korea Olfactory receptors (ORs) detect volatile chemicals that lead to freezing behavior (3-5). the initial perception of smell in the brain. The olfactory re- ORs are localized in the cilia of olfactory sensory neurons ceptor (OR) is the first protein that recognizes odorants in the (OSNs) in the olfactory epithelium (OE) and are activated by olfactory signal pathway and it is present in over 1,000 genes chemical cues, typically odorants at the molecular level, in mice. It is also the largest member of the G protein-coupled which lead to the perception of smell in the brain (6). receptors (GPCRs). Most ORs are extensively expressed in the Tremendous research was conducted since Buck and Axel iso- nasal olfactory epithelium where they perform the appropriate lated ORs as an OE-specific expression in 1991 (7). OR genes, physiological functions that fit their location. However, recent the largest family among the G protein-coupled receptors whole-genome sequencing shows that ORs have been found (GPCRs) (8), constitute more than 1,000 genes on the mouse outside of the olfactory system, suggesting that ORs may play chromosome (9, 10) and more than 450 genes in the human an important role in the ectopic expression of non-chemo- genome (11, 12). sensory tissues. The ectopic expressions of ORs and their phys- Odorant activation shows a distinct signal transduction iological functions have attracted more attention recently since pathway for odorant perception. -
Sean Raspet – Molecules
1. Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Molecular weight: 240.39 g/mol Volume (cubic Angstroems): 258.88 Atoms number (non-hydrogen): 17 miLogP: 4.43 Structure: Biological Properties: Predicted Druglikenessi: GPCR ligand -0.23 Ion channel modulator -0.03 Kinase inhibitor -0.6 Nuclear receptor ligand 0.15 Protease inhibitor -0.28 Enzyme inhibitor 0.15 Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Predicted Olfactory Receptor Activityii: OR2L13 83.715% OR1G1 82.761% OR10J5 80.569% OR2W1 78.180% OR7A2 77.696% 2. Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Molecular weight: 239.36 Volume (cubic Angstroems): 252.83 Atoms number (non-hydrogen): 17 miLogP: 4.33 Structure: Biological Properties: Predicted Druglikeness: GPCR ligand -0.6 Ion channel modulator -0.41 Kinase inhibitor -0.93 Nuclear receptor ligand -0.17 Protease inhibitor -0.39 Enzyme inhibitor 0.01 Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Predicted Olfactory Receptor Activity: OR52D1 71.900% OR1G1 70.394% 0R52I2 70.392% OR52I1 70.390% OR2Y1 70.378% 3. Commercial name: Hyperflor© IUPAC Name: 2-benzyl-1,3-dioxan-5-one SMILES: O=C1COC(CC2=CC=CC=C2)OC1 Molecular weight: 192.21 g/mol Volume -
Functional Variability in the Human Odorant Receptor Repertoire
ART ic LE s The missense of smell: functional variability in the human odorant receptor repertoire Joel D Mainland1–3, Andreas Keller4, Yun R Li2,6, Ting Zhou2, Casey Trimmer1, Lindsey L Snyder1, Andrew H Moberly1,3, Kaylin A Adipietro2, Wen Ling L Liu2, Hanyi Zhuang2,6, Senmiao Zhan2, Somin S Lee2,6, Abigail Lin2 & Hiroaki Matsunami2,5 Humans have ~400 intact odorant receptors, but each individual has a unique set of genetic variations that lead to variation in olfactory perception. We used a heterologous assay to determine how often genetic polymorphisms in odorant receptors alter receptor function. We identified agonists for 18 odorant receptors and found that 63% of the odorant receptors we examined had polymorphisms that altered in vitro function. On average, two individuals have functional differences at over 30% of their odorant receptor alleles. To show that these in vitro results are relevant to olfactory perception, we verified that variations in OR10G4 genotype explain over 15% of the observed variation in perceived intensity and over 10% of the observed variation in perceived valence for the high-affinity in vitro agonist guaiacol but do not explain phenotype variation for the lower-affinity agonists vanillin and ethyl vanillin. The human genome contains ~800 odorant receptor genes that have RESULTS been shown to exhibit high genetic variability1–3. In addition, humans High-throughput screening of human odorant receptors exhibit considerable variation in the perception of odorants4,5, and To identify agonists for a variety of odorant receptors, we cloned a variation in an odorant receptor predicts perception in four cases: library of 511 human odorant receptor genes for a high-throughput loss of function in OR11H7P, OR2J3, OR5A1 and OR7D4 leads to heterologous screen. -
Chr CNV Start CNV Stop Gene Gene Feature 1 37261312 37269719
chr CNV start CNV stop Gene Gene feature 1 37261312 37269719 Tmem131 closest upstream gene 1 37261312 37269719 Cnga3 closest downstream gene 1 41160869 41180390 Tmem182 closest upstream gene 1 41160869 41180390 2610017I09Rik closest downstream gene 1 66835123 66839616 1110028C15Rik in region 2 88714200 88719211 Olfr1206 closest upstream gene 2 88714200 88719211 Olfr1208 closest downstream gene 2 154840037 154846228 a in region 3 30065831 30417157 Mecom closest upstream gene 3 30065831 30417157 Arpm1 closest downstream gene 3 35476875 35495913 Sox2ot closest upstream gene 3 35476875 35495913 Atp11b closest downstream gene 3 39563408 39598697 Fat4 closest upstream gene 3 39563408 39598697 Intu closest downstream gene 3 94246481 94410611 Celf3 in region 3 94246481 94410611 Mrpl9 in region 3 94246481 94410611 Riiad1 in region 3 94246481 94410611 Snx27 in region 3 104311901 104319916 Lrig2 in region 3 144613709 144619149 Clca6 in region 3 144613709 144619149 Clca6 in region 4 108673 137301 Vmn1r2 closest downstream gene 4 3353037 5882883 6330407A03Rik in region 4 3353037 5882883 Chchd7 in region 4 3353037 5882883 Fam110b in region 4 3353037 5882883 Impad1 in region 4 3353037 5882883 Lyn in region 4 3353037 5882883 Mos in region 4 3353037 5882883 Penk in region 4 3353037 5882883 Plag1 in region 4 3353037 5882883 Rps20 in region 4 3353037 5882883 Sdr16c5 in region 4 3353037 5882883 Sdr16c6 in region 4 3353037 5882883 Tgs1 in region 4 3353037 5882883 Tmem68 in region 4 5919294 6304249 Cyp7a1 in region 4 5919294 6304249 Sdcbp in region 4 5919294