Social Signal Transduction

Total Page:16

File Type:pdf, Size:1020Kb

Social Signal Transduction Social regulation of gene expression Steve W. Cole, Ph.D. UCLA School of Medicine Division of Hematology-Oncology IL6 DNA Gene IL6 DNA Gene RNA IL6 DNA Gene Health RNA IL6 DNA Gene Early life social conditions S. Suomi 521 717 Mother reared Peer reared Health RNA IL6 DNA Gene Health RNA IL6 DNA Gene Social Environment Health RNA IL6 DNA Gene Social Environment Health RNA IL6 DNA Gene Social Environment Health RNA IL6 DNA Gene Social Environment Health RNA IL6 DNA Gene Social signal transduction Social processes Genome Social signal transduction Social processes CNS function Genome Social signal transduction Social processes CNS function Peripheral neurobiology Genome Social signal transduction Social processes CNS function Peripheral neurobiology Cell signal transduction Genome Social signal transduction Social processes CNS function Peripheral neurobiology Cell signal transduction Transcription factors Genome Social signal transduction Social processes CNS function Peripheral neurobiology Cell signal transduction Transcription factors Genome Social signal transduction Social processes Simple questions CNS function Peripheral neurobiology Cell signal transduction Transcription factors Genome Social signal transduction Social processes Simple questions CNS 1. Which gene modules are function sensitive to social processes? Peripheral neurobiology Cell signal transduction Transcription factors Genome Social signal transduction Social processes Simple questions CNS 1. Which gene modules are function sensitive to social processes? 2. Which transcription control Peripheral pathways mediate those effects? neurobiology Cell signal transduction Transcription factors Genome Social signal transduction Social processes Simple questions CNS 1. Which gene modules are function sensitive to social processes? 2. Which transcription control Peripheral pathways mediate those effects? neurobiology 3. Which genetic polymorphisms modulate social influences? Cell signal transduction Transcription factors Genome Social signal transduction Social processes Simple questions CNS 1. Which gene modules are function sensitive to social processes? 2. Which transcription control Peripheral pathways mediate those effects? neurobiology 3. Which genetic polymorphisms modulate social influences? Cell signal transduction Transcription factors Genome ? Early life social conditions S. Suomi 521 717 Mother reared Peer reared Early life social conditions S. Suomi Inflammation Cell growth/differentiation Transcription control 521 717 Mother reared Peer reared Early life social conditions S. Suomi Inflammation Cell growth/differentiation Transcription control 521 717 Mother reared Peer reared Immunoglobulin production Type I interferon antiviral response Low SES Early life low SES Social threat Social loss / anticipated bereav ement Social instability Adolescent role incongruity Loneliness Introversion Acute stress Chronic stress Depression Sleep loss Social signal transduction Isolation Low SES Social threat Bereavement CNS function Peripheral neurobiology Cell signal transduction Transcription factors Genome CTRA – conserved transcriptional response to adversity Inflammation Cell growth/differentiation Transcription control 521 717 Mother reared Peer reared Immunoglobulin G1 production Type I interferon antiviral response CTRA – conserved transcriptional response to adversity Inflammation Cell growth/differentiation Transcription control 521 717 Mother reared Peer reared Immunoglobulin G1 production Type I interferon antiviral response CTRA – conserved transcriptional response to adversity Inflammation Cell growth/differentiation Transcription control 521 717 Mother reared Peer reared Immunoglobulin G1 production Type I interferon antiviral response CTRA – conserved transcriptional response to adversity Inflammation Cell growth/differentiation Transcription control 521 717 Mother reared Peer reared Immunoglobulin G1 production Type I interferon antiviral response hthate = btibacteria hthate = btibacteria loneliness = predation hthate = btibacteria loneliness = predation = bacteria hthate = btibacteria loneliness = predation = bacteria love = viruses Social signal transduction Social processes Simple questions CNS 1. Which gene modules are function sensitive to social processes? 2. Which transcription control Peripheral pathways mediate those effects? neurobiology 3. Which genetic polymorphisms modulate social influences? Cell signal transduction Transcription factors Genome Social signal transduction Social processes Simple questions CNS 1. Which gene modules are function sensitive to social processes? 2. Which transcription control Peripheral pathways mediate those effects? neurobiology 3. Which genetic polymorphisms modulate social influences? Cell signal transduction ? Transcription factors Genome Social Environment Health RNA IL6 DNA Gene Social Environment Health RNA IL6 DNA Gene Social Environment Health RNA IL6 DNA Gene Social Environment Health RNA IL6 DNA Gene Social Environment Health RNA IL6 DNA Gene Early life social conditions 521 717 Mother reared Peer reared Early life social conditions CREB / ATF EGR1, EGR3, EGR4/NGFIC NRF2 GATA 521 717 Mother reared Peer reared MAF, MZF1 ISRE, STAT1 Social Environment Health RNA IL6 DNA Gene Social Environment Health RNA IL6 DNA Gene Immune cell target of social adversity Transcript origin cell diagnostic Z-score p-value Monocytes .0001 Dendritic cells .1973 NK cells .2733 CD4+ T cells .9989 CD8+ T cells .9999 B cells .2609 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Suomi results unpublished; method: Cole et al (2011) Proc Nat Acad Sci USA Social signal transduction Social processes Simple questions CNS 1. Which gene modules are function sensitive to social processes? 2. Which transcription control Peripheral pathways mediate those effects? neurobiology 3. Which genetic polymorphisms modulate social influences? Cell signal transduction Transcription factors Genome Social signal transduction Social processes Simple questions CNS 1. Which gene modules are function sensitive to social processes? 2. Which transcription control Peripheral pathways mediate those effects? neurobiology 3. Which genetic polymorphisms modulate social influences? Cell signal transduction Transcription factors Genome ? System properties Social processes CNS function Peripheral neurobiology Cell signal transduction Transcription factors Genome System properties Social processes CNS function 1. Subjectivity Peripheral neurobiology Cell signal transduction Transcription factors Genome System properties Social processes CNS function 1. Subjectivity Peripheral neurobiology Cell signal transduction Transcription factors Genome 2. Basal remodeling System properties Social processes CNS function 1. Subjectivity Peripheral neurobiology Cell signal transduction Transcription factors Genome 2. Basal remodeling System properties Social processes CNS function 1. Subjectivity Peripheral neurobiology Cell signal transduction Transcription factors Genome 2. Basal remodeling System properties Social processes CNS function 1. Subjectivity Peripheral neurobiology Cell signal transduction Transcription factors 3. Recursive persistence Genome 2. Basal remodeling SNS NGF LN Recursive developmental remodeling Body1 Cole (2009) Current Directions in Psychological Science Recursive developmental remodeling Environment1 Body1 Cole (2009) Current Directions in Psychological Science Recursive developmental remodeling Behavior1 Environment1 Body1 Cole (2009) Current Directions in Psychological Science Recursive developmental remodeling Behavior1 Environment1 Body1 RNA1 Cole (2009) Current Directions in Psychological Science Recursive developmental remodeling Behavior1 Environment1 Body1 RNA1 Body2 Cole (2009) Current Directions in Psychological Science Recursive developmental remodeling Behavior1 Environment1 Body1 RNA1 Environment2 Body2 Cole (2009) Current Directions in Psychological Science Recursive developmental remodeling Behavior1 Environment1 Body1 RNA1 Behavior2 Environment2 Body2 RNA2 Cole (2009) Current Directions in Psychological Science Recursive developmental remodeling Behavior1 Environment1 Body1 RNA1 Behavior2 Environment2 Body2 RNA2 Behavior3 Environment3 Body3 RNA3 Cole (2009) Current Directions in Psychological Science Recursive developmental remodeling Behavior1 Time 1 Environment1 Body1 RNA1 Behavior2 Time 2 Environment2 Body2 RNA2 Behavior3 Time 3 Environment3 Body3 RNA3 RNA = intra-organismic adaptation Cole (2009) Current Directions in Psychological Science System properties Social processes CNS function 1. Subjectivity Peripheral neurobiology Cell signal transduction Transcription factors 3. Recursive persistence Genome 2. Basal remodeling SNS NGF LN System properties 4. Environmental recursion Social processes CNS function 1. Subjectivity Peripheral neurobiology Cell signal transduction Transcription factors 3. Recursive persistence Genome 2. Basal remodeling SNS NGF LN System properties 4. Environmental recursion Social processes Behavior CNS function 1. Subjectivity Peripheral neurobiology Cell signal transduction Transcription factors 3. Recursive persistence Genome 2. Basal remodeling SNS NGF LN System properties 4. Environmental recursion Social processes Behavior CNS function 1. Subjectivity Peripheral neurobiology Cell signal transduction Transcription factors 3. Recursive persistence Genome 2. Basal remodeling SNS NGF LN Recursive developmental remodeling Behavior1 Time 1 Environment1 Body1 RNA1 Behavior2 Time 2 Environment2 Body2 RNA2
Recommended publications
  • OR2A5 (NM 012365) Human Tagged ORF Clone – RC220078L3
    OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC220078L3 OR2A5 (NM_012365) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: OR2A5 (NM_012365) Human Tagged ORF Clone Tag: Myc-DDK Symbol: OR2A5 Synonyms: OR2A8; OR2A11P; OR2A26; OR7-138; OR7-141 Vector: pLenti-C-Myc-DDK-P2A-Puro (PS100092) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC220078). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_012365 ORF Size: 933 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 OR2A5 (NM_012365) Human Tagged ORF Clone – RC220078L3 OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_012365.1, NP_036497.1 RefSeq Size: 936 bp RefSeq ORF: 936 bp Locus ID: 393046 UniProt ID: Q96R48, A0A126GW49 Protein Pathways: Olfactory transduction MW: 35 kDa Gene Summary: Olfactory receptors interact with odorant molecules in the nose, to initiate a neuronal response that triggers the perception of a smell.
    [Show full text]
  • 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.
    [Show full text]
  • A Multi-Cancer Gene Signature Associated with Stromal Activation
    A multi-cancer gene signature associated with stromal activation Sandra Orsulic, PhD Professor of OB/GYN Women’s Cancer Program Samuel Oschin Comprehensive Cancer Institute I Cedars-Sinai Medical Center 1100011010 1001000101 0101001011 Stroma/ECM Prevents Tumor Invasion Stroma/ECM Promotes Tumor Invasion Tumor Growth and Stroma Remodeling Ki67-positive dividing cells cancer cells stroma Tumor Growth and Stroma Remodeling Ki67-positive dividing cells cancer • proliferative cells • targeted by chemotherapy • genetically unstable stroma Tumor Growth and Stroma Remodeling Ki67-positive dividing cells cancer • proliferating cells • targeted by chemotherapy • genetically unstable • slow proliferating • not targeted by chemotherapy stroma • genetically stable • enhanced remodeling predicts poor outcome Expression of COL11A1 in Intratumoral Stroma COL11A1 + Fat 0% Peritumoral ~1% stroma Tumor ~50% Intratumoral 100µm stroma COL11A1 Expression in Cancers and Corresponding Normal Tissues Smooth Muscle Actin Expression in Cancers and Corresponding Normal Tissues COL11A1 Expression in Cancers and Corresponding Normal Tissues BREAST COLORECTAL 1 2 1 2 3 1. Breast (61) 1. Colon (19) 2. Invasive ductal breast 2. Rectum (3) carcinoma (389) 3. Colon adenocarcinoma (101) Overexpression gene rank: 1 Overexpression gene rank: 3 (in top 1%) (in top 1%) p-value: 1.15E-73 p-value: 2.19E-44 t-test: 33.769 t-test: 27.871 fold change: 40.542 fold change: 32.796 Increase in COL11A1 Levels During Cancer Progression Breast Cancer Ductal Invasive Carcinoma Ductal In
    [Show full text]
  • Exome Sequencing of Oral Leukoplakia and Oral Squamous Cell Carcinoma T Implicates DNA Damage Repair Gene Defects in Malignant Transformation ⁎ Camile S
    Oral Oncology 96 (2019) 42–50 Contents lists available at ScienceDirect Oral Oncology journal homepage: www.elsevier.com/locate/oraloncology Exome sequencing of oral leukoplakia and oral squamous cell carcinoma T implicates DNA damage repair gene defects in malignant transformation ⁎ Camile S. Faraha,b,c, , Maryam Jessrib,c, Nigel C. Bennettc, Andrew J. Dalleyc, Kate D. Shearstonb, Simon A. Foxb a Australian Centre for Oral Oncology Research & Education, Perth, WA 6009, Australia b UWA Dental School, University of Western Australia, Perth, WA 6009, Australia c UQ Centre for Clinical Research, The University of Queensland, Herston, QLD 4029, Australia ARTICLE INFO ABSTRACT Keywords: Objectives: To map the genomic pathways of patients with oral leukoplakia (OLK) which transformed to cancer Oral leukoplakia (progressive) and those which did not (non-progressive), and to compare their exomic profiles. Oral dysplasia Materials and methods: Whole exome sequencing was performed on 42 sequential samples from five progressive Progression to cancer and eight non-progressive patients. Association of genomic variant frequencies with progression or lesion se- Oral cancer verity were analysed by non-parametric tests (Kruskal-Wallis and Mann-Whitney-Wilcoxon) and multivariate Malignant transformation sparse partial least squares discriminant analysis (sPLS-DA). Enrichment analysis was used to characterise the Whole exome sequencing BRCA1 effect of mutations upon biological pathways. Confirmatory studies used qPCR and immunohistochemistry. Fanconi anaemia Results: Using sPLS-DA, the variant frequency of a small number of genes could be used to classify the samples DNA damage repair based on lesion severity or progressive status. Enrichment analysis showed that DNA damage repair gene related Double strand break pathways were highly impacted in lesions which progressed to cancer.
    [Show full text]
  • Supplementary Information
    Supplementary Information Table S1. Concordance between tumors obtained from the same prostate. With the Affymetrix Genotyping console, samples obtained from left and right parts of multifocal and unifocal prostate cancers were analyzed for concordance by utilizing called SNPs (single nucleotide polymorphisms). Percent of concordance above 95% indicates that tumor pairs are concordant and are from the same patient. Focal groups Tumor 1 Tumor 2 # SNPs Called # Concordant SNPs Concordance(%) MS50L MS50R 889367 887885 99.83 MS151L MS151R 880129 877810 99.74 MS183L MS183R 878329 871493 99.22 MS210L MS210R 873087 861764 98.7 MS235L MS235R 870383 857435 98.51 MS343L MS343R 868215 858846 98.92 Multifocal MS368L MS368R 891865 889358 99.72 prostate MS407L MS407R 850248 835899 98.31 cancers MS586L MS586R 883709 880514 99.64 MS840L MS840R 875854 866243 98.9 MS898L MS898R 875292 871653 99.58 MS946L MS946R 873157 866811 99.27 MS971L MS971R 869438 863180 99.28 RD819L RD819R 890003 888132 99.79 MS38L MS38R 880539 875184 99.39 Unifocal MS78L MS78R 870073 862441 99.12 prostate MS99L MS99R 863543 850650 98.51 cancers MS470L MS470R 888624 884144 99.5 MS1096L MS1096R 867767 861224 99.25 Int. J. Mol. Sci. 2013, 14 S2 Table S2. Tumor-specific copy number gains and losses. Cytoband regions with copy number alterations and annotated genes. CNV, copy number variation. Number of CNV Cytoband region tumors Genes annotated to tumor-specific altered cytoband region event (n = 41) 1p36.13 gain 17 NBPF1 NBPF14, NBPF15, NBPF16, PPIAL4A, PPIAL4B, PPIAL4C, 1q21.2 gain
    [Show full text]
  • Supplementary Data
    SUPPLEMENTARY METHODS 1) Characterisation of OCCC cell line gene expression profiles using Prediction Analysis for Microarrays (PAM) The ovarian cancer dataset from Hendrix et al (25) was used to predict the phenotypes of the cell lines used in this study. Hendrix et al (25) analysed a series of 103 ovarian samples using the Affymetrix U133A array platform (GEO: GSE6008). This dataset comprises clear cell (n=8), endometrioid (n=37), mucinous (n=13) and serous epithelial (n=41) primary ovarian carcinomas and samples from 4 normal ovaries. To build the predictor, the Prediction Analysis of Microarrays (PAM) package in R environment was employed (http://rss.acs.unt.edu/Rdoc/library/pamr/html/00Index.html). When more than one probe described the expression of a given gene, we used the probe with the highest median absolute deviation across the samples. The dataset from Hendrix et al. (25) and the dataset of OCCC cell lines described in this manuscript were then overlaid on the basis of 11536 common unique HGNC gene symbols. Only the 99 primary ovarian cancers samples and the four normal ovary samples were used to build the predictor. Following leave one out cross-validation, a predictor based upon 126 genes was able to identify correctly the four distinct phenotypes of primary ovarian tumour samples with a misclassification rate of 18.3%. This predictor was subsequently applied to the expression data from the 12 OCCC cell lines to determine the likeliest phenotype of the OCCC cell lines compared to primary ovarian cancers. Posterior probabilities were estimated for each cell line in comparison to the following phenotypes: clear cell, endometrioid, mucinous and serous epithelial.
    [Show full text]
  • Us 2018 / 0305689 A1
    US 20180305689A1 ( 19 ) United States (12 ) Patent Application Publication ( 10) Pub . No. : US 2018 /0305689 A1 Sætrom et al. ( 43 ) Pub . Date: Oct. 25 , 2018 ( 54 ) SARNA COMPOSITIONS AND METHODS OF plication No . 62 /150 , 895 , filed on Apr. 22 , 2015 , USE provisional application No . 62/ 150 ,904 , filed on Apr. 22 , 2015 , provisional application No. 62 / 150 , 908 , (71 ) Applicant: MINA THERAPEUTICS LIMITED , filed on Apr. 22 , 2015 , provisional application No. LONDON (GB ) 62 / 150 , 900 , filed on Apr. 22 , 2015 . (72 ) Inventors : Pål Sætrom , Trondheim (NO ) ; Endre Publication Classification Bakken Stovner , Trondheim (NO ) (51 ) Int . CI. C12N 15 / 113 (2006 .01 ) (21 ) Appl. No. : 15 /568 , 046 (52 ) U . S . CI. (22 ) PCT Filed : Apr. 21 , 2016 CPC .. .. .. C12N 15 / 113 ( 2013 .01 ) ; C12N 2310 / 34 ( 2013. 01 ) ; C12N 2310 /14 (2013 . 01 ) ; C12N ( 86 ) PCT No .: PCT/ GB2016 /051116 2310 / 11 (2013 .01 ) $ 371 ( c ) ( 1 ) , ( 2 ) Date : Oct . 20 , 2017 (57 ) ABSTRACT The invention relates to oligonucleotides , e . g . , saRNAS Related U . S . Application Data useful in upregulating the expression of a target gene and (60 ) Provisional application No . 62 / 150 ,892 , filed on Apr. therapeutic compositions comprising such oligonucleotides . 22 , 2015 , provisional application No . 62 / 150 ,893 , Methods of using the oligonucleotides and the therapeutic filed on Apr. 22 , 2015 , provisional application No . compositions are also provided . 62 / 150 ,897 , filed on Apr. 22 , 2015 , provisional ap Specification includes a Sequence Listing . SARNA sense strand (Fessenger 3 ' SARNA antisense strand (Guide ) Mathew, Si Target antisense RNA transcript, e . g . NAT Target Coding strand Gene Transcription start site ( T55 ) TY{ { ? ? Targeted Target transcript , e .
    [Show full text]
  • From Musk to Body Odor: Decoding Olfaction Through Genetic Variation
    bioRxiv preprint doi: https://doi.org/10.1101/2021.04.27.441177; this version posted April 28, 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 4.0 International license. From musk to body odor: decoding olfaction through genetic variation Bingjie Li1,2,*, Marissa L. Kamarck3,4,*, Qianqian Peng1,*, Fei-Ling Lim5, Andreas Keller6, Monique A.M. Smeets7, Joel D. Mainland3,4,a, and Sijia Wang1,8,a 1CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, China; 2Department of Skin and Cosmetics Research, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China; 3Monell Chemical Senses Center, Philadelphia, PA 19104, USA; 4Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, USA; 5Unilever Research & Development, Colworth, UK; 6Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, NY 10065 USA; 7Unilever Research & Development, Rotterdam, The Netherlands; 8Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China This manuscript was compiled on April 23, 2021 The olfactory system combines input from multiple receptor types assay(5–12). to represent odor information, but there are few explicit examples Here, we utilize the same strategy of correlating perceptual relating olfactory receptor (OR) activity patterns to odor perception. and genetic variation, but with three improvements: 1. Using To uncover these relationships, we performed genome-wide scans a larger population to increase power, 2.
    [Show full text]
  • Explorations in Olfactory Receptor Structure and Function by Jianghai
    Explorations in Olfactory Receptor Structure and Function by Jianghai Ho Department of Neurobiology Duke University Date:_______________________ Approved: ___________________________ Hiroaki Matsunami, Supervisor ___________________________ Jorg Grandl, Chair ___________________________ Marc Caron ___________________________ Sid Simon ___________________________ [Committee Member Name] Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Neurobiology in the Graduate School of Duke University 2014 ABSTRACT Explorations in Olfactory Receptor Structure and Function by Jianghai Ho Department of Neurobiology Duke University Date:_______________________ Approved: ___________________________ Hiroaki Matsunami, Supervisor ___________________________ Jorg Grandl, Chair ___________________________ Marc Caron ___________________________ Sid Simon ___________________________ [Committee Member Name] An abstract of a dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Neurobiology in the Graduate School of Duke University 2014 Copyright by Jianghai Ho 2014 Abstract Olfaction is one of the most primitive of our senses, and the olfactory receptors that mediate this very important chemical sense comprise the largest family of genes in the mammalian genome. It is therefore surprising that we understand so little of how olfactory receptors work. In particular we have a poor idea of what chemicals are detected by most of the olfactory receptors in the genome, and for those receptors which we have paired with ligands, we know relatively little about how the structure of these ligands can either activate or inhibit the activation of these receptors. Furthermore the large repertoire of olfactory receptors, which belong to the G protein coupled receptor (GPCR) superfamily, can serve as a model to contribute to our broader understanding of GPCR-ligand binding, especially since GPCRs are important pharmaceutical targets.
    [Show full text]
  • Rabbit Anti-OR5T3/FITC Conjugated Antibody-SL17953R-FITC
    SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-OR5T3/FITC Conjugated antibody SL17953R-FITC Product Name: Anti-OR5T3/FITC Chinese Name: FITC标记的嗅觉受体5T3抗体 Olfactory receptor 5T3; Olfactory receptor OR11-178; Olfactory receptor, family 5, Alias: subfamily T, member 3; OR11-178; OR5T3; OR5T3_HUMAN; OR5T3Q. Organism Species: Rabbit Clonality: Polyclonal React Species: Human, 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: 38kDa Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human OR5T3 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: Olfactory receptors interact with odorant molecules in the nose, to initiate a neuronal response that triggers the perception of a smell. The olfactory receptor proteins are members of a large family of G-protein-coupled receptors (GPCR) arising from single Product Detail: coding-exon genes. Olfactory receptors share a 7-transmembrane domain structure with many neurotransmitter and hormone receptors and are responsible for the recognition and G protein-mediated transduction of odorant signals.
    [Show full text]
  • Pulmonary Endothelial Cell DNA Methylation Signature in Pulmonary Arterial Hypertension
    www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 32), pp: 52995-53016 Research Paper Pulmonary endothelial cell DNA methylation signature in pulmonary arterial hypertension Aurélie Hautefort1,2,*, Julie Chesné3,*, Jens Preussner4, Soni S Pullamsetti4, Jorg Tost5, Mario Looso4, Fabrice Antigny1,2, Barbara Girerd1,2,6, Marianne Riou1,2, Saadia Eddahibi7, Jean-François Deleuze5, Werner Seeger4, Elie Fadel8, Gerald Simonneau1,2,6, David Montani1,2,6, Marc Humbert1,2,6 and Frédéric Perros1,2 1INSERM UMR_S 999, Hôpital Marie Lannelongue, Le Plessis Robinson, France 2Univ Paris-Sud, Faculté de Médecine, Université Paris-Saclay, Le Kremlin Bicêtre, France 3UMR_S 1087 CNRS UMR_6291, Institut du Thorax, Université de Nantes, CHU de Nantes, Centre National de Référence Mucoviscidose Nantes-Roscoff, Nantes, France 4Max-Planck-Institute for Heart and Lung Research, Member of the German Center for Lung Research (DZL), Bad Nauheim, Germany 5Centre National de Génotypage, CEA-Institut de Génomique, Evry, France 6AP-HP, Service de Pneumologie, Hôpital Bicêtre, Le Kremlin-Bicêtre, France 7INSERM U1046, Centre Hospitalier Universitaire Arnaud de Villeneuve, Montpellier, France 8Hôpital Marie Lannelongue, Service de Chirurgie Thoracique et Vasculaire, Le Plessis Robinson, France *These authors contributed equally to this work Correspondence to: Frédéric Perros, email: [email protected] Keywords: pulmonary arterial hypertension, epigenetic, DNA methylation, endothelial cells, ABC transporters Received: December 02, 2016 Accepted: May 09, 2017 Published: May 19, 2017 Copyright: Hautefort 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.
    [Show full text]
  • From Musk to Body Odor: Decoding Olfaction Through Genetic Variation Supplemental Information: Preprint
    From musk to body odor: decoding olfaction through genetic variation Supplemental Information: Preprint Bingjie Li1,2,3 Marissa L. Kamarck1,4,5 Qianqian Peng1,2 Fei-Ling Lim6 Andreas Keller7 Monique A.M. Smeets8 Joel D. Mainland4,5,* Sijia Wang2,9,* Manuscript compiled on 4/22/2021 1 B.L., M.K., and Q.P contributed equally to this work 2 CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, China 3 Department of Skin and Cosmetics Research, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China 4 Monell Chemical Senses Center, Philadelphia, PA 19104, USA 5 Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, USA 6 Unilever Research & Development, Colworth, UK 7 Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, NY 10065 USA 8 Unilever Research & Development, Rotterdam, The Netherlands 9 Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China * Correspondence: Joel D. Mainland <[email protected]>, Sijia Wang <[email protected]> Supporting Data See supporting Files. SI Data 1. Significant Discovery Cohort Associations (p< 5x10-8). Abbreviation: CHR=chromosome; BP=base pair position. SI Data 2. Meta-Analysis Results. Shown are all SNPs that are significantly (p<5x10-8) associated with any tested phenotype in the meta-analysis including both the discovery and validation cohorts. CHR:BP are the chromosome and base-pair coordinates according to human reference genome GRCh37. A1_meta and A2_meta are the two possible nucleotides at each location. The “Direction_meta” column describes the direction of the effect from A1_meta to A2_meta.
    [Show full text]