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Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice
Loyola University Chicago Loyola eCommons Biology: Faculty Publications and Other Works Faculty Publications 2013 Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice Mihaela Palicev Gunter P. Wagner James P. Noonan Benedikt Hallgrimsson James M. Cheverud Loyola University Chicago, [email protected] Follow this and additional works at: https://ecommons.luc.edu/biology_facpubs Part of the Biology Commons Recommended Citation Palicev, M, GP Wagner, JP Noonan, B Hallgrimsson, and JM Cheverud. "Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice." Genome Biology and Evolution 5(10), 2013. This Article is brought to you for free and open access by the Faculty Publications at Loyola eCommons. It has been accepted for inclusion in Biology: Faculty Publications and Other Works by an authorized administrator of Loyola eCommons. For more information, please contact [email protected]. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. © Palicev et al., 2013. GBE Genomic Correlates of Relationship QTL Involved in Fore- versus Hind Limb Divergence in Mice Mihaela Pavlicev1,2,*, Gu¨ nter P. Wagner3, James P. Noonan4, Benedikt Hallgrı´msson5,and James M. Cheverud6 1Konrad Lorenz Institute for Evolution and Cognition Research, Altenberg, Austria 2Department of Pediatrics, Cincinnati Children‘s Hospital Medical Center, Cincinnati, Ohio 3Yale Systems Biology Institute and Department of Ecology and Evolutionary Biology, Yale University 4Department of Genetics, Yale University School of Medicine 5Department of Cell Biology and Anatomy, The McCaig Institute for Bone and Joint Health and the Alberta Children’s Hospital Research Institute for Child and Maternal Health, University of Calgary, Calgary, Canada 6Department of Anatomy and Neurobiology, Washington University *Corresponding author: E-mail: [email protected]. -
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. -
Predicting Coupling Probabilities of G-Protein Coupled Receptors Gurdeep Singh1,2,†, Asuka Inoue3,*,†, J
Published online 30 May 2019 Nucleic Acids Research, 2019, Vol. 47, Web Server issue W395–W401 doi: 10.1093/nar/gkz392 PRECOG: PREdicting COupling probabilities of G-protein coupled receptors Gurdeep Singh1,2,†, Asuka Inoue3,*,†, J. Silvio Gutkind4, Robert B. Russell1,2,* and Francesco Raimondi1,2,* 1CellNetworks, Bioquant, Heidelberg University, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany, 2Biochemie Zentrum Heidelberg (BZH), Heidelberg University, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany, 3Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi 980-8578, Japan and 4Department of Pharmacology and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA Received February 10, 2019; Revised April 13, 2019; Editorial Decision April 24, 2019; Accepted May 01, 2019 ABSTRACT great use in tinkering with signalling pathways in living sys- tems (5). G-protein coupled receptors (GPCRs) control multi- Ligand binding to GPCRs induces conformational ple physiological states by transducing a multitude changes that lead to binding and activation of G-proteins of extracellular stimuli into the cell via coupling to situated on the inner cell membrane. Most of mammalian intra-cellular heterotrimeric G-proteins. Deciphering GPCRs couple with more than one G-protein giving each which G-proteins couple to each of the hundreds receptor a distinct coupling profile (6) and thus specific of GPCRs present in a typical eukaryotic organism downstream cellular responses. Determining these coupling is therefore critical to understand signalling. Here, profiles is critical to understand GPCR biology and phar- we present PRECOG (precog.russelllab.org): a web- macology. Despite decades of research and hundreds of ob- server for predicting GPCR coupling, which allows served interactions, coupling information is still missing for users to: (i) predict coupling probabilities for GPCRs many receptors and sequence determinants of coupling- specificity are still largely unknown. -
Discovering Novel Hearing Loss Genes: Roles for Esrp1 and Gas2 in Inner Ear Development and Auditory Function
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2018 Discovering Novel Hearing Loss Genes: Roles For Esrp1 And Gas2 In Inner Ear Development And Auditory Function Alex Martin Rohacek University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Cell Biology Commons, Developmental Biology Commons, and the Molecular Biology Commons Recommended Citation Rohacek, Alex Martin, "Discovering Novel Hearing Loss Genes: Roles For Esrp1 And Gas2 In Inner Ear Development And Auditory Function" (2018). Publicly Accessible Penn Dissertations. 2843. https://repository.upenn.edu/edissertations/2843 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2843 For more information, please contact [email protected]. Discovering Novel Hearing Loss Genes: Roles For Esrp1 And Gas2 In Inner Ear Development And Auditory Function Abstract Hearing loss is the most common form of congenital birth defect, affecting an estimated 35 million children worldwide. To date, nearly 100 genes have been identified which contribute to a deafness phenotype in humans, however, many cases remain in which a causative mutation has yet to be found. In addition, the exact mechanism by which hearing loss occurs in the presence of many of these mutations is still not understood. This is due, in part, to the complex nature of the development and function of the cochlear duct, the organ of hearing. The cochlea undergoes an intricate morphogenetic development and requires the proper specification and maintenance of dozens of different cell types in order to function correctly. In the mature duct, an interplay between mechanotransducing sensory hair cells, supporting pillar and Dieters' cells, and generation of electrochemical potential by the stria vascularis are necessary to respond to sound stimuli. -
Pathognomonic and Epistatic Genetic Alterations in B-Cell Non-Hodgkin
bioRxiv preprint doi: https://doi.org/10.1101/674259; this version posted June 19, 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-NC-ND 4.0 International license. 1 Pathognomonic and epistatic genetic alterations in 2 B-cell non-Hodgkin lymphoma 3 4 Man Chun John Ma1¥, Saber Tadros1¥, Alyssa Bouska2, Tayla B. Heavican2, Haopeng Yang1, 5 Qing Deng1, Dalia Moore3, Ariz Akhter4, Keenan Hartert3, Neeraj Jain1, Jordan Showell1, 6 Sreejoyee Ghosh1, Lesley Street5, Marta Davidson5, Christopher Carey6, Joshua Tobin7, 7 Deepak Perumal8, Julie M. Vose9, Matthew A. Lunning9, Aliyah R. Sohani10, Benjamin J. 8 Chen11, Shannon Buckley12, Loretta J. Nastoupil1, R. Eric Davis1, Jason R. Westin1, Nathan H. 9 Fowler1, Samir Parekh8, Maher K. Gandhi7, Sattva S. Neelapu1, Douglas Stewart5, Javeed 10 Iqbal2, Timothy Greiner2, Scott J. Rodig13, Adnan Mansoor5, Michael R. Green1,14,15* 11 1Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD 12 Anderson Cancer Center, Houston, TX, USA; 2Department of Pathology and Microbiology, University of 13 Nebraska Medical Center, Omaha, NE, USA; 3Eppley Institute for Research in Cancer and Allied 14 Diseases, University of Nebraska Medical Center, Omaha, NE, USA; 4Department of Pathology and 15 Laboratory Medicine, University of Calgary, Calgary, AB, Canada; 5Section of Hematology, Department of 16 Medicine, University -
G-Protein ␥-Complex Is Crucial for Efficient Signal Amplification in Vision
The Journal of Neuroscience, June 1, 2011 • 31(22):8067–8077 • 8067 Cellular/Molecular G-Protein ␥-Complex Is Crucial for Efficient Signal Amplification in Vision Alexander V. Kolesnikov,1 Loryn Rikimaru,2 Anne K. Hennig,1 Peter D. Lukasiewicz,1 Steven J. Fliesler,4,5,6,7 Victor I. Govardovskii,8 Vladimir J. Kefalov,1 and Oleg G. Kisselev2,3 1Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, Missouri 63110, Departments of 2Ophthalmology and 3Biochemistry and Molecular Biology, Saint Louis University School of Medicine, Saint Louis, Missouri 63104, 4Research Service, Veterans Administration Western New York Healthcare System, and Departments of 5Ophthalmology (Ross Eye Institute) and 6Biochemistry, University at Buffalo/The State University of New York (SUNY), and 7SUNY Eye Institute, Buffalo, New York 14215, and 8Sechenov Institute for Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Saint Petersburg 194223, Russia A fundamental question of cell signaling biology is how faint external signals produce robust physiological responses. One universal mechanism relies on signal amplification via intracellular cascades mediated by heterotrimeric G-proteins. This high amplification system allows retinal rod photoreceptors to detect single photons of light. Although much is now known about the role of the ␣-subunit of the rod-specific G-protein transducin in phototransduction, the physiological function of the auxiliary ␥-complex in this process remains a mystery. Here, we show that elimination of the transducin ␥-subunit drastically reduces signal amplification in intact mouse rods. The consequence is a striking decline in rod visual sensitivity and severe impairment of nocturnal vision. Our findings demonstrate that transducin ␥-complex controls signal amplification of the rod phototransduction cascade and is critical for the ability of rod photoreceptors to function in low light conditions. -
Caspases and Mitochondria in C-Myc-Induced Apoptosis: Identi®Cation of ATM As a New Target of Caspases
Oncogene (2000) 19, 2354 ± 2362 ã 2000 Macmillan Publishers Ltd All rights reserved 0950 ± 9232/00 $15.00 www.nature.com/onc Caspases and mitochondria in c-Myc-induced apoptosis: identi®cation of ATM as a new target of caspases Anneli Hotti1,2, Kristiina JaÈ rvinen1,2, Pirjo Siivola1 and Erkki HoÈ lttaÈ *,1 1Haartman Institute, Department of Pathology, University of Helsinki, P.O. Box 21 (Haartmaninkatu 3), FIN- 00014, Finland The mechanism(s) of c-Myc transcription factor-induced transcription of the target genes (Galaktionov et al., apoptosis is still obscure. The activation of c-Myc has 1996; Packham and Cleveland, 1994; Shim et al., 1997). been found to lead into the processing/activation of On the other hand, c-Myc has been reported to induce caspases (caspase-3), but the signi®cance of this for the apoptosis without transcriptional activation (Evan et al., cell demise is debatable. Here we report that several 1992; Xiao et al., 1998). Also, it is not clear whether the targets of caspases (PKCd, MDM2, PARP, replication tumour suppressor p53, a transcriptional target for c- factor C, 70 kDa U1snRNP, fodrin and lamins) are Myc, is needed for apoptosis induced by c-Myc (Lotem cleaved during c-Myc-induced apoptosis in Rat-1 and Sachs, 1995; Shim et al., 1998; Wagner et al., 1994; MycERTM cells, indicating an important role for caspases Zindy et al., 1998; reviewed in Prendergast, 1999; in the apoptotic process. We further found that the ATM Thompson, 1998). Recently, c-Myc-induced apoptosis (ataxia telangiectasia mutated) ± protein is a novel key has been shown either indirectly (Kagaya et al., 1997; substrate of caspases. -
Gas2 Is a Multifunctional Gene Involved in the Regulation of Apoptosis and Chondrogenesis in the Developing Mouse Limb
Developmental Biology 207, 14–25 (1999) Article ID dbio.1998.9086, available online at http://www.idealibrary.com on View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector gas2 Is a Multifunctional Gene Involved in the Regulation of Apoptosis and Chondrogenesis in the Developing Mouse Limb K. K. H. Lee,*,1,2 M. K. Tang,* D. T. W. Yew,* P. H. Chow,* S. P. Yee,† C. Schneider,‡,§ and C. Brancolini‡,§,1 *Department of Anatomy, Faculty of Medicine, Chinese University of Hong Kong, Shatin, Hong Kong, People’s Republic of China; †Cancer Research Laboratories, London Regional Cancer Centre, 790 Commissioners Road East, London, Ontario, Canada; ‡Laboratorio Nazionale Consorzio Interuniversitario Biotecnologie Area, Science Park Padriciano 99, Trieste, Italy; and §Dipartimento Scienze e Tecnologie Biomediche Facolta’ di Medicina, University of Udine, p. Kolbe 4, Udine, Italy The growth-arrest-specific 2 (gas2) gene was initially identified on account of its high level of expression in murine fibroblasts under growth arrest conditions, followed by downregulation upon reentry into the cell cycle (Schneider et al., Cell 54, 787–793, 1988). In this study, the expression patterns of the gas2 gene and the Gas2 peptide were established in the developing limbs of 11.5- to 14.5-day mouse embryos. It was found that gas2 was expressed in the interdigital tissues, the chondrogenic regions, and the myogenic regions. Low-density limb culture and Brdu incorporation assays revealed that gas2 might play an important role in regulating chondrocyte proliferation and differentiation. Moreover, it might play a similar role during limb myogenesis. -
Recurrent GNAQ Mutation Encoding T96S in Natural Killer/T Cell Lymphoma
ARTICLE https://doi.org/10.1038/s41467-019-12032-9 OPEN Recurrent GNAQ mutation encoding T96S in natural killer/T cell lymphoma Zhaoming Li 1,2,9, Xudong Zhang1,2,9, Weili Xue1,3,9, Yanjie Zhang1,3,9, Chaoping Li1,3, Yue Song1,3, Mei Mei1,3, Lisha Lu1,3, Yingjun Wang1,3, Zhiyuan Zhou1,3, Mengyuan Jin1,3, Yangyang Bian4, Lei Zhang1,2, Xinhua Wang1,2, Ling Li1,2, Xin Li1,2, Xiaorui Fu1,2, Zhenchang Sun1,2, Jingjing Wu1,2, Feifei Nan1,2, Yu Chang1,2, Jiaqin Yan1,2, Hui Yu1,2, Xiaoyan Feng1,2, Guannan Wang5, Dandan Zhang5, Xuefei Fu6, Yuan Zhang7, Ken H. Young8, Wencai Li5 & Mingzhi Zhang1,2 1234567890():,; Natural killer/T cell lymphoma (NKTCL) is a rare and aggressive malignancy with a higher prevalence in Asia and South America. However, the molecular genetic mechanisms underlying NKTCL remain unclear. Here, we identify somatic mutations of GNAQ (encoding the T96S alteration of Gαq protein) in 8.7% (11/127) of NKTCL patients, through whole- exome/targeted deep sequencing. Using conditional knockout mice (Ncr1-Cre-Gnaqfl/fl), we demonstrate that Gαqdeficiency leads to enhanced NK cell survival. We also find that Gαq suppresses tumor growth of NKTCL via inhibition of the AKT and MAPK signaling pathways. Moreover, the Gαq T96S mutant may act in a dominant negative manner to promote tumor growth in NKTCL. Clinically, patients with GNAQ T96S mutations have inferior survival. Taken together, we identify recurrent somatic GNAQ T96S mutations that may contribute to the pathogenesis of NKTCL. Our work thus has implications for refining our understanding of the genetic mechanisms of NKTCL and for the development of therapies. -
Novel Driver Strength Index Highlights Important Cancer Genes in TCGA Pancanatlas Patients
medRxiv preprint doi: https://doi.org/10.1101/2021.08.01.21261447; this version posted August 5, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Novel Driver Strength Index highlights important cancer genes in TCGA PanCanAtlas patients Aleksey V. Belikov*, Danila V. Otnyukov, Alexey D. Vyatkin and Sergey V. Leonov Laboratory of Innovative Medicine, School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Moscow Region, Russia *Corresponding author: [email protected] NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. 1 medRxiv preprint doi: https://doi.org/10.1101/2021.08.01.21261447; this version posted August 5, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Abstract Elucidating crucial driver genes is paramount for understanding the cancer origins and mechanisms of progression, as well as selecting targets for molecular therapy. Cancer genes are usually ranked by the frequency of mutation, which, however, does not necessarily reflect their driver strength. Here we hypothesize that driver strength is higher for genes that are preferentially mutated in patients with few driver mutations overall, because these few mutations should be strong enough to initiate cancer. -
G Protein Alpha Inhibitor 1 (GNAI1) Rabbit Polyclonal Antibody 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 TA335036 G protein alpha inhibitor 1 (GNAI1) Rabbit Polyclonal Antibody Product data: Product Type: Primary Antibodies Applications: WB Recommended Dilution: WB Reactivity: Human, Mouse, Rat Host: Rabbit Isotype: IgG Clonality: Polyclonal Immunogen: The immunogen for anti-GNAI1 antibody: synthetic peptide directed towards the middle region of human GNAI1. Synthetic peptide located within the following region: YQLNDSAAYYLNDLDRIAQPNYIPTQQDVLRTRVKTTGIVETHFTFKDLH Formulation: Liquid. Purified antibody supplied in 1x PBS buffer with 0.09% (w/v) sodium azide and 2% sucrose. Note that this product is shipped as lyophilized powder to China customers. Purification: Affinity Purified Conjugation: Unconjugated Storage: Store at -20°C as received. Stability: Stable for 12 months from date of receipt. Predicted Protein Size: 40 kDa Gene Name: G protein subunit alpha i1 Database Link: NP_002060 Entrez Gene 14677 MouseEntrez Gene 25686 RatEntrez Gene 2770 Human P63096 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 / 4 G protein alpha inhibitor 1 (GNAI1) Rabbit Polyclonal Antibody – TA335036 Background: Guanine nucleotide-binding proteins (G proteins) form a large family of signal-transducing molecules. They are found as heterotrimers made up of alpha, beta, and gamma subunits. Members of the G protein family have been characterized most extensively on the basis of the alpha subunit, which binds guanine nucleotide, is capable of hydrolyzing GTP, and interacts with specific receptor and effector molecules. -
GNAT1 (NM 144499) 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 RC221246 GNAT1 (NM_144499) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: GNAT1 (NM_144499) Human Tagged ORF Clone Tag: Myc-DDK Symbol: GNAT1 Synonyms: CSNB1G; CSNBAD3; GBT1; GNATR Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin ORF Nucleotide >RC221246 representing NM_144499 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGGGGGCTGGGGCCAGTGCTGAGGAGAAGCACTCCAGGGAGCTGGAAAAGAAGCTGAAAGAGGACGCTG AGAAGGATGCTCGAACCGTGAAGCTGCTGCTTCTGGGTGCCGGTGAGTCCGGGAAGAGCACCATCGTCAA GCAGATGAAGATTATCCACCAGGACGGGTACTCGCTGGAAGAGTGCCTCGAGTTTATCGCCATCATCTAC GGCAACACGTTGCAGTCCATCCTGGCCATCGTACGCGCCATGACCACACTCAACATCCAGTACGGAGACT CTGCACGCCAGGACGACGCCCGGAAGCTGATGCACATGGCAGACACTATCGAGGAGGGCACGATGCCCAA GGAGATGTCGGACATCATCCAGCGGCTGTGGAAGGACTCCGGTATCCAGGCCTGTTTTGAGCGCGCCTCG GAGTACCAGCTCAACGACTCGGCGGGCTACTACCTCTCCGACCTGGAGCGCCTGGTAACCCCGGGCTACG TGCCCACCGAGCAGGACGTGCTGCGCTCGCGAGTCAAGACCACTGGCATCATCGAGACGCAGTTCTCCTT CAAGGATCTCAACTTCCGGATGTTCGATGTGGGCGGGCAGCGCTCGGAGCGCAAGAAGTGGATCCACTGC TTCGAGGGCGTGACCTGCATCATCTTCATCGCGGCGCTGAGCGCCTACGACATGGTGCTAGTGGAGGACG ACGAAGTGAACCGCATGCACGAGAGCCTGCACCTGTTCAACAGCATCTGCAACCACCGCTACTTCGCCAC GACGTCCATCGTGCTCTTCCTTAACAAGAAGGACGTCTTCTTCGAGAAGATCAAGAAGGCGCACCTCAGC ATCTGTTTCCCGGACTACGATGGACCCAACACCTACGAGGACGCCGGCAACTACATCAAGGTGCAGTTCC