Transcriptome Analyses of Taste Organoids Reveal Multiple Pathways
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TAS1R1 (NM 138697) Human Tagged ORF Clone Product Data
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 RG219286 TAS1R1 (NM_138697) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: TAS1R1 (NM_138697) Human Tagged ORF Clone Tag: TurboGFP Symbol: TAS1R1 Synonyms: GM148; GPR70; T1R1; TR1 Vector: pCMV6-AC-GFP (PS100010) E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: Neomycin 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 / 6 TAS1R1 (NM_138697) Human Tagged ORF Clone – RG219286 ORF Nucleotide >RG219286 representing NM_138697 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGCTGCTCTGCACGGCTCGCCTGGTCGGCCTGCAGCTTCTCATTTCCTGCTGCTGGGCCTTTGCCTGCC ATAGCACGGAGTCTTCTCCTGACTTCACCCTCCCCGGAGATTACCTCCTGGCAGGCCTGTTCCCTCTCCA TTCTGGCTGTCTGCAGGTGAGGCACAGACCCGAGGTGACCCTGTGTGACAGGTCTTGTAGCTTCAATGAG CATGGCTACCACCTCTTCCAGGCTATGCGGCTTGGGGTTGAGGAGATAAACAACTCCACGGCCCTGCTGC CCAACATCACCCTGGGGTACCAGCTGTATGATGTGTGTTCTGACTCTGCCAATGTGTATGCCACGCTGAG AGTGCTCTCCCTGCCAGGGCAACACCACATAGAGCTCCAAGGAGACCTTCTCCACTATTCCCCTACGGTG CTGGCAGTGATTGGGCCTGACAGCACCAACCGTGCTGCCACCACAGCCGCCCTGCTGAGCCCTTTCCTGG TGCCCATGATTAGCTATGCGGCCAGCAGCGAGACGCTCAGCGTGAAGCGGCAGTATCCCTCTTTCCTGCG CACCATCCCCAATGACAAGTACCAGGTGGAGACCATGGTGCTGCTGCTGCAGAAGTTCGGGTGGACCTGG -
Mismatches Between Feeding Ecology and Taste Receptor Evolution
satisfactory explanation exists (2). Furthermore, Tas1r2 is absent LETTER in all bird genomes sequenced thus far (2), irrespective of their diet. Mismatches between feeding ecology Jiang et al. (1) further contended that sea lions and dolphins and taste receptor evolution: An need not sense the umami taste because they swallow food whole. Although it is true that Tas1r1 is pseudogenized in these inconvenient truth two species, the authors ignore the previous finding that Tas1r1 is also pseudogenized or missing in all bats examined, regardless Comparative and evolutionary biology can not only verify labo- of their diet (fruits, insects, or blood) (3). Although the pseu- ratory findings of gene functions but also provide insights into dogenization of Tas1r1 in the giant panda (4) occurred at ap- their physiological roles in nature that are sometimes difficult to proximately the same time as it switched from being a meat-eater discern in the laboratory. Specifically, if our understanding of the to a plant-eater (5), and thus may be related to the feeding physiological function of a gene is complete and accurate, the ecology, herbivorous mammals, such as the horse and cow, still gene should be inactivated or pseudogenized in and only in carry an intact Tas1r1 (5). organisms in which the presumed function of the gene has be- Clearly, the presence/absence of intact Tas1r2 and Tas1r1 in come useless or harmful. On the basis of multiple independent mammals and other vertebrates is sometimes inconsistent with pseudogenizations of the sweet taste receptor gene Tas1r2 in the known functions of these genes and the involved tastes. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Activation Mechanism of the G Protein-Coupled Sweet Receptor Heterodimer with Sweeteners and Allosteric Agonists
Supporting Information Activation mechanism of the G protein-coupled sweet receptor heterodimer with sweeteners and allosteric agonists Soo-Kyung Kim, *† Yalu Chen, † Ravinder Abrol, †, ‡ William A. Goddard III,*† and Brian Guthrie§ †Materials and Process Simulation Center (MC 139-74), California Institute of Technology, 1200 E. California Blvd., Pasadena, CA 91125; ‡Current address, Departments of Chemistry and Biochemistry, California State University, Northridge, CA 91330; §Cargill Global Food Research, 2301 Crosby Road, Wayzata, MN 55391 * CORRESPONDING AUTHOR Prof. William A. Goddard III California Institute of Technology MC 139-74, 1200 E. California Blvd., Pasadena, CA 91125; phone: 1-626-395-2731, e-mail: [email protected] Dr. Soo-Kyung Kim phone: 1-626-395-2724, e-mail: [email protected] 1 RESULTS Structures for Allosteric ligand bound at the TMD of all three TAS1Rs As described in the METHODS section, the DarwinDock procedure (1) involves sampling ~50,000 poses for each of ~10 diverse ligand conformations from which, we select finally two energetically favorable binding poses based on two scoring methods: UCav E: unified cavity energy for which we consider that interactions of the best 100 poses with the union of all residues involve in their separate binding sites (providing a uniform comparison) BE: snap binding energy considering all interactions of ligand with protein As a first validation of the predicted structures for the 7 helix TMD, we used DarwinDock to predict the binding site for the allosteric ligands to each TAS1R TMD in Table S10. Here we find, S819 [1-((1H-pyrrol-2-yl)methyl)-3-(4-isopropoxyphenyl)thiourea] is a sweet compound that interacts with the TAS1R2 TMD.(2) and Lactisole is a competitive inhibitor of the sweet taste receptor that binds to TAS1R3 TMD.(3, 4) These structures were further relaxed through annealing. -
Supplementary Materials
Supplementary Materials COMPARATIVE ANALYSIS OF THE TRANSCRIPTOME, PROTEOME AND miRNA PROFILE OF KUPFFER CELLS AND MONOCYTES Andrey Elchaninov1,3*, Anastasiya Lokhonina1,3, Maria Nikitina2, Polina Vishnyakova1,3, Andrey Makarov1, Irina Arutyunyan1, Anastasiya Poltavets1, Evgeniya Kananykhina2, Sergey Kovalchuk4, Evgeny Karpulevich5,6, Galina Bolshakova2, Gennady Sukhikh1, Timur Fatkhudinov2,3 1 Laboratory of Regenerative Medicine, National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia 2 Laboratory of Growth and Development, Scientific Research Institute of Human Morphology, Moscow, Russia 3 Histology Department, Medical Institute, Peoples' Friendship University of Russia, Moscow, Russia 4 Laboratory of Bioinformatic methods for Combinatorial Chemistry and Biology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia 5 Information Systems Department, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia 6 Genome Engineering Laboratory, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia Figure S1. Flow cytometry analysis of unsorted blood sample. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S2. Flow cytometry analysis of unsorted liver stromal cells. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S3. MiRNAs expression analysis in monocytes and Kupffer cells. Full-length of heatmaps are presented. -
Rap1 Acts Via Multiple Mechanisms to Position Canoe/Afadin and Adherens Junctions and Mediate Apical-Basal Polarity Establishment
bioRxiv preprint doi: https://doi.org/10.1101/170977; this version posted July 31, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Rap1 acts via multiple mechanisms to position Canoe/Afadin and adherens junctions and mediate apical-basal polarity establishment Teresa T. Bonello1, Kia Z. Perez-Vale2, Kaelyn D. Sumigray3, and Mark Peifer1,2,3* 1 Department of Biology, University of North Carolina at Chapel Hill, CB#3280, Chapel Hill, NC 27599-3280, USA 2 Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA 3 Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Running Title Active Rap1 positions Canoe and AJs 6950 words * To whom correspondence should be addressed Email: [email protected] Phone: (919) 962-2272 Abbreviations used: α-cat, alpha-catenin; β-cat, beta-catenin; AJ, adherens junction; Arm, Armadillo; Baz, BazooKa; CA, constitutively active; Cno, Canoe; DE-cad, Drosophila E-cadherin; Dzy, Dizzy; GAP, GTPase activating protein; GDP, guanosine diphosphate; GEF, guanine nucleotide exchange factor; GFP, green fluorescent protein; GTP, guanosine triphosphate; IF, immunofluorescence; MIP, maximum intensity projection; RA, Ras-associated; RFP, red fluorescent protein; SAJ, spot adherens junction; shRNA, short hairpin RNA; TCJ, tricellular junction; WT, wildtype 1 bioRxiv preprint doi: https://doi.org/10.1101/170977; this version posted July 31, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. -
The Association of Bovine T1R Family of Receptors Polymorphisms with Cattle Growth Traits ⇑ C.L
Research in Veterinary Science xxx (2012) xxx–xxx Contents lists available at SciVerse ScienceDirect Research in Veterinary Science journal homepage: www.elsevier.com/locate/rvsc The association of bovine T1R family of receptors polymorphisms with cattle growth traits ⇑ C.L. Zhang a, J. Yuan a, Q. Wang a, Y.H. Wang a, X.T. Fang a, C.Z. Lei b, D.Y. Yang c, H. Chen a, a Institute of Cellular and Molecular Biology, Xuzhou Normal University, Xuzhou, Jiangsu, PR China b College of Animal Science and Technology, Northwest Agriculture and Forestry University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, PR China c College of Life Science, Dezhou University, Dezhou, Shandong 253023, PR China article info abstract Article history: The three members of the T1R class of taste-specific G protein-coupled receptors have been proven to Received 12 August 2011 function in combination with heterodimeric sweet and umami taste receptors in many mammals that Accepted 20 January 2012 affect food intake. This may in turn affect growth traits of livestock. We performed a comprehensive eval- Available online xxxx uation of single-nucleotide polymorphisms (SNPs) in the bovine TAS1R gene family, which encodes receptors for umami and sweet tastes. Complete DNA sequences of TAS1R1-, TAS1R2-, and TAS1R3-cod- Keywords: ing regions, obtained from 436 unrelated female cattle, representing three breeds (Qinchuan, Jiaxian Red, Taste receptors Luxi), revealed substantial coding and noncoding diversity. A total of nine SNPs in the TAS1R1 gene were SNP identified, among which seven SNPs were in the coding region, and two SNPs were in the introns. -
G Protein-Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: G protein-coupled receptors. British Journal of Pharmacology (2015) 172, 5744–5869 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: G protein-coupled receptors Stephen PH Alexander1, Anthony P Davenport2, Eamonn Kelly3, Neil Marrion3, John A Peters4, Helen E Benson5, Elena Faccenda5, Adam J Pawson5, Joanna L Sharman5, Christopher Southan5, Jamie A Davies5 and CGTP Collaborators 1School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK, 2Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK, 3School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK, 4Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK, 5Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13348/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. -
Multi-Functionality of Proteins Involved in GPCR and G Protein Signaling: Making Sense of Structure–Function Continuum with In
Cellular and Molecular Life Sciences (2019) 76:4461–4492 https://doi.org/10.1007/s00018-019-03276-1 Cellular andMolecular Life Sciences REVIEW Multi‑functionality of proteins involved in GPCR and G protein signaling: making sense of structure–function continuum with intrinsic disorder‑based proteoforms Alexander V. Fonin1 · April L. Darling2 · Irina M. Kuznetsova1 · Konstantin K. Turoverov1,3 · Vladimir N. Uversky2,4 Received: 5 August 2019 / Revised: 5 August 2019 / Accepted: 12 August 2019 / Published online: 19 August 2019 © Springer Nature Switzerland AG 2019 Abstract GPCR–G protein signaling system recognizes a multitude of extracellular ligands and triggers a variety of intracellular signal- ing cascades in response. In humans, this system includes more than 800 various GPCRs and a large set of heterotrimeric G proteins. Complexity of this system goes far beyond a multitude of pair-wise ligand–GPCR and GPCR–G protein interactions. In fact, one GPCR can recognize more than one extracellular signal and interact with more than one G protein. Furthermore, one ligand can activate more than one GPCR, and multiple GPCRs can couple to the same G protein. This defnes an intricate multifunctionality of this important signaling system. Here, we show that the multifunctionality of GPCR–G protein system represents an illustrative example of the protein structure–function continuum, where structures of the involved proteins represent a complex mosaic of diferently folded regions (foldons, non-foldons, unfoldons, semi-foldons, and inducible foldons). The functionality of resulting highly dynamic conformational ensembles is fne-tuned by various post-translational modifcations and alternative splicing, and such ensembles can undergo dramatic changes at interaction with their specifc partners. -
G Protein‐Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: G protein-coupled receptors. British Journal of Pharmacology (2019) 176, S21–S141 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: G protein-coupled receptors Stephen PH Alexander1 , Arthur Christopoulos2 , Anthony P Davenport3 , Eamonn Kelly4, Alistair Mathie5 , John A Peters6 , Emma L Veale5 ,JaneFArmstrong7 , Elena Faccenda7 ,SimonDHarding7 ,AdamJPawson7 , Joanna L Sharman7 , Christopher Southan7 , Jamie A Davies7 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria 3052, Australia 3Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK 4School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 5Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 6Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 7Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide represents approximately 400 pages, the material presented is substantially reduced compared to information and links presented on the website. -
Rap1 Regulates Hepatic Stellate Cell Migration Through the Modulation of Rhoa Activity in Response to TGF‑Β1
INTERNATIONAL JOURNAL OF MOleCular meDICine 44: 491-502, 2019 Rap1 regulates hepatic stellate cell migration through the modulation of RhoA activity in response to TGF‑β1 MI-YOUNG MOON1, HEE-JUN KIM2, MO-JONG KIM2, SUNHO UHM1, JI‑WON PARK1, KI-TAE SUK3, JAE‑BONG PARK4, DONG-JUN KIM3 and SUNG-EUN KIM1 1Department of Internal Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Anyang, Gyeonggi 14068; 2Ilsong Institute of Life Science, Hallym University, Anyang, Gyeonggi 14066; 3Department of Internal Medicine, Hallym University Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon, Gangwon 24253; 4Department of Biochemistry, College of Medicine, Hallym University, Chuncheon, Gangwon 24252, Republic of Korea Received November 1, 2018; Accepted May 28, 2019 DOI: 10.3892/ijmm.2019.4215 Abstract. Although the migration of hepatic stellate cells activation of RhoA in TGF‑β1-stimulated HSC‑T6 cells. These (HSCs) is important for hepatic fibrosis, the regulation of this findings suggest that TGF‑β1 regulates Rap1, resulting in the migration is poorly understood. Notably, transforming growth suppression of RhoA, activation of and formation of F‑actin factor (TGF)-β1 induces monocyte migration to sites of injury during the migration of HSCs. or inflammation during the early phase, but inhibits cell migra- tion during the late phase. In the present study, the role of Introduction transforming protein RhoA signaling in TGF-β1-induced HSC migration was investigated. TGF‑β1 was found to increase Hepatic fibrosis is characterized by the excessive deposition the protein and mRNA levels of smooth muscle actin and of extracellular matrix (ECM) mediated by activated hepatic collagen type I in HSC‑T6 cells.