The Role of the Mtor Pathway in Developmental Reprogramming Of

Total Page:16

File Type:pdf, Size:1020Kb

The Role of the Mtor Pathway in Developmental Reprogramming Of THE ROLE OF THE MTOR PATHWAY IN DEVELOPMENTAL REPROGRAMMING OF HEPATIC LIPID METABOLISM AND THE HEPATIC TRANSCRIPTOME AFTER EXPOSURE TO 2,2',4,4'- TETRABROMODIPHENYL ETHER (BDE-47) An Honors Thesis Presented By JOSEPH PAUL MCGAUNN Approved as to style and content by: ________________________________________________________** Alexander Suvorov 05/18/20 10:40 ** Chair ________________________________________________________** Laura V Danai 05/18/20 10:51 ** Committee Member ________________________________________________________** Scott C Garman 05/18/20 10:57 ** Honors Program Director ABSTRACT An emerging hypothesis links the epidemic of metabolic diseases, such as non-alcoholic fatty liver disease (NAFLD) and diabetes with chemical exposures during development. Evidence from our lab and others suggests that developmental exposure to environmentally prevalent flame-retardant BDE47 may permanently reprogram hepatic lipid metabolism, resulting in an NAFLD-like phenotype. Additionally, we have demonstrated that BDE-47 alters the activity of both mTOR complexes (mTORC1 and 2) in hepatocytes. The mTOR pathway integrates environmental information from different signaling pathways, and regulates key cellular functions such as lipid metabolism, innate immunity, and ribosome biogenesis. Thus, we hypothesized that the developmental effects of BDE-47 on liver lipid metabolism are mTOR-dependent. To assess this, we generated mice with liver-specific deletions of mTORC1 or mTORC2 and exposed these mice and their respective controls perinatally to BDE-47. We found that developmental exposure to BDE-47 permanently reprograms gene expression related to hepatic lipid metabolism, innate immunity, and other key cellular functions in an mTORC1- and 2-dependent manner. Our results also provide a hypothetical model of gene- environment interaction in which early-life BDE-47 exposure triggers life-long reprogramming of liver lipid metabolism and other key cellular functions in an mTOR-dependent manner, and indicate that modulation of the mTOR pathway by environmental chemicals such as BDE-47 may lead to long-lasting changes in liver disease susceptibility. 1 Acknowledgements I would like to thank Dr. Alexander Suvorov for his incredible mentorship over the last three years, his dedication to helping me grow as a scientist, his willingness to always take time out of his busy day to answer questions and hypotheses, and his passion for science that made working under him so inspiring and worthwhile. I would like to thank Dr. Laura V. Danai for her guidance over the last three years as well. Dr. Danai taught me much of the biochemistry and molecular biology that I used for this work, and her willingness to encourage me to grow as a scientist in the lab, in the classroom, and in our discussions has proven invaluable. I would also like to thank other members of the Suvorov Lab who made critical contributions to this project. Anthony Poluyanoff also conducted RNA-seq and western blotting for all samples and conducted analysis for mTORC1 and 2 knockout data in tandem with me. Victoria Salemme conducted analysis of triglyceride levels in blood and liver samples. Ahmed Khalil provided guidance regarding western blotting for Anthony and me, and Menna Teffera assisted in bioinformatic analysis of gene expression data using Ingenuity Pathway Analysis (IPA). I would also like to thank the laboratory of Dr. R. Thomas Zeller for assistance with western blot imaging. Lastly, I would like to thank all my family, friends, and other mentors who have supported me throughout this project and over the course of my development as a scientist. Funding for this project was provided by the Research Enhancement Award from the Dean of the School of Public Health and Health Sciences to Dr. Alexander Suvorov and The Commonwealth Honors College Honors Research Grant. 2 Table of Contents I. Experimental goals .......................................................................................................................................................... 9 II. Introduction ..................................................................................................................................................................... 10 III. Methodology .............................................................................................................................................................. 21 IV. Results part 1: the comparative roles of mTORC1 and 2 in liver gene expression ............................. 27 V. Results part 2: The role of mTORC1 in mediating the long-term effects of BDE-47 on the liver ...... 58 VI. Results part 3: the role of mTORC2 in mediating long-term effects of BDE-47 on the liver .......... 81 VII. Discussion ................................................................................................................................................................ 106 VIII. Conclusions .............................................................................................................................................................. 148 IX. References ................................................................................................................................................................ 154 X. Appendix ....................................................................................................................................................................... 165 3 List of tables and figures Figures: ❖ Figure 1. A Visual Representation of our Exposure Paradigm. ❖ Figure 2. A Visual Representation of the Groups of Animals Used for this Series of Experiments. ❖ Figure 3. Western Blots to Characterize Phosphorylation Activity in Mice with a Liver- Specific Deletion of mTORC1 or 2. ❖ Figure 4. Metascape Reveals Ontology Terms Regulated by mTORC1 or 2 ❖ Figure 5. Comparison Analysis Reveals Similar and Differential Regulatory Roles for mTORC1 and 2 at the Transcriptional Level. ❖ Figure 6. Metascape Results for Genes Dependent on mTORC1 Only. ❖ Figure 7. Metascape Results for Genes Dependent on mTORC2 Only. ❖ Figure 8. Metascape Results for Genes Inversely Dependent on mTORC1 and 2. ❖ Figure 9. Metascape Results for Genes Similarly Altered in Expression by mTORC1 and 2 Knockouts. ❖ Figure 10. Overlap of Genes whose Expression was Altered by mTORC1 and mTORC2 Knockouts Filtered by Dependency Analysis. ❖ Figure 11. Comparison of Significantly Enriched GSEA Gene Sets for mTORC1 and 2 Knockouts. ❖ Figure 12. IPA-Generated Networks of Transcription Regulators Downstream of mTORC1 and 2. 4 ❖ Figure 13. IPA Disease and Biological Functions for mTORC1 Knockout (Left) and mTORC2 Knockout (Right). ❖ Figure 14. IPA Toxicological Functions for mTORC1 Knockout (Left) and mTORC2 Knockout (Right). ❖ Figure 15. Western Blots to Characterize the Relationship Between Early-Life BDE-47 Exposure and mTORC1 Activity. ❖ Figure 16. Metascape Reveals Ontology Terms Enriched Due to BDE-47 Exposure in the Presence and Absence of mTORC1 in the mTORC1 Experiment. ❖ Figure 17. Comparison Analysis Reveals mTORC1 Dependent and Independent Effects of Early-Life BDE-47 Exposure in the mTORC1 Experiment. ❖ Figure 18. Metascape Results for Genes for which Deletion of mTORC1 Abolished Effects of BDE-47 Exposure in the mTORC1 Experiment. ❖ Figure 19. Metascape Results for Genes for which Deletion of mTORC1 Permitted an Effect of BDE-47 Exposure mTORC1 Experiment. ❖ Figure 20. Metascape Results for Genes for which Effects of BDE-47 Exposure are Independent of mTORC1. ❖ Figure 21. Comparison of Significantly Enriched GSEA Gene Sets In BDE-47 Exposed mTORC1 Control and Knockout Mice. ❖ Figure 22. IPA Disease and Biological Functions for BDE-47 Exposed Control (Left) and mTORC1 Knockout (Right) mice in the mTORC1 Experiment. ❖ Figure 23. IPA Toxicological Functions for BDE-47 Exposed Control (Left) and mTORC1 Knockout (Right) mice in the mTORC1 Experiment. 5 ❖ Figure 24. Western Blots to Characterize the Relationship Between Early-Life BDE-47 Exposure and mTORC2 Activity. ❖ Figure 25. BDE-47 Exposure Significantly Increases Serum Triglycerides in the mTORC2 experiment and is mTORC2 dependent. ❖ Figure 26. Metascape Reveals Ontology Terms Enriched Due to BDE-47 Exposure in the Presence and Absence of mTORC2 in the mTORC2 Experiment. ❖ Figure 27. Comparison Analysis Reveals mTORC2 Dependent and Independent Effects of Early-Life BDE-47 Exposure in the mTORC2 Experiment. ❖ Figure 28. Metascape Results for Genes for which Deletion of mTORC2 Abolished Effects of BDE-47 Exposure in the mTORC2 Experiment. ❖ Figure 29. Metascape Results for Genes for which Effects of BDE-47 Exposure are Independent of mTORC2. ❖ Figure 30. Comparison of Significantly Enriched GSEA Gene Sets In BDE-47 Exposed mTORC2 Control and Knockout Mice. ❖ Figure 31. IPA-Generated Network of Transcription Factors Downstream of mTORC1 and 2 that are Activated and Inhibited due to BDE-47 Exposure in mTORC2 control mice. ❖ Figure 32. IPA Disease and Biological Functions for BDE-47 Exposed Control (Left) and mTORC2 Knockout (Right) mice in the mTORC2 Experiment. ❖ Figure 33. IPA Toxicological Functions for BDE-47 Exposed Control (Left) and mTORC2 Knockout (Right) mice in the mTORC2 Experiment. ❖ Figure 34. A Visual Representation of the Gene-Environment Interaction that Modulates Expression of a Hypothetical Gene in the mTORC1 and mTORC2 experiments. 6 ❖ Figure 35. A Theoretical Model of Modulation of Gene Expression by BDE-47 via mTORC1 and 2. Tables: ❖ Table 1. Selected
Recommended publications
  • Changes in Poly(A) Tail Length Dynamics from the Loss of the Circadian Deadenylase Nocturnin
    www.nature.com/scientificreports OPEN Changes in poly(A) tail length dynamics from the loss of the circadian deadenylase Nocturnin Received: 16 February 2015 1,2 2 1 1 1 Accepted: 21 October 2015 Shihoko Kojima , Kerry L. Gendreau , Elaine L. Sher-Chen , Peng Gao & Carla B. Green Published: 20 November 2015 mRNA poly(A) tails are important for mRNA stability and translation, and enzymes that regulate the poly(A) tail length significantly impact protein profiles. There are eleven putative deadenylases in mammals, and it is thought that each targets specific transcripts, although this has not been clearly demonstrated. Nocturnin (NOC) is a unique deadenylase with robustly rhythmic expression and loss of Noc in mice (Noc KO) results in resistance to diet-induced obesity. In an attempt to identify target transcripts of NOC, we performed “poly(A)denylome” analysis, a method that measures poly(A) tail length of transcripts in a global manner, and identified 213 transcripts that have extended poly(A) tails in Noc KO liver. These transcripts share unexpected characteristics: they are short in length, have long half-lives, are actively translated, and gene ontology analyses revealed that they are enriched in functions in ribosome and oxidative phosphorylation pathways. However, most of these transcripts do not exhibit rhythmicity in poly(A) tail length or steady-state mRNA level, despite Noc’s robust rhythmicity. Therefore, even though the poly(A) tail length dynamics seen between genotypes may not result from direct NOC deadenylase activity, these data suggest that NOC exerts strong effects on physiology through direct and indirect control of target mRNAs.
    [Show full text]
  • Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
    bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. 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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. 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. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis.
    [Show full text]
  • FABP2 Ala54thr Polymorphism and Post-Training Changes of Body Composition and Biochemical Parameters in Caucasian Women
    G C A T T A C G G C A T genes Article FABP2 Ala54Thr Polymorphism and Post-Training Changes of Body Composition and Biochemical Parameters in Caucasian Women Agata Leo ´nska-Duniec 1,*, Katarzyna Switała´ 1, Ildus I. Ahmetov 2,3 , Craig Pickering 4 , Myosotis Massidda 5 , Maciej Buryta 6, Andrzej Mastalerz 7 and Ewelina Maculewicz 7 1 Faculty of Physical Education, Gdansk University of Physical Education and Sport, 80-336 Gdansk, Poland; [email protected] 2 Laboratory of Molecular Genetics, Kazan State Medical University, 420012 Kazan, Russia; [email protected] 3 Department of Physical Education, Plekhanov Russian University of Economics, 117997 Moscow, Russia 4 Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston PR1 2HE, UK; [email protected] 5 Department of Life and Environmental Sciences, University of Cagliari, 09124 Cagliari, Italy; [email protected] 6 Institute of Physical Culture Sciences, University of Szczecin, 70-453 Szczecin, Poland; [email protected] 7 Faculty of Physical Education, Jozef Pilsudski University of Physical Education in Warsaw, 00-968 Warsaw, Poland; [email protected] (A.M.); [email protected] (E.M.) * Correspondence: [email protected] Abstract: The functional FABP2 Ala54Thr polymorphism (rs1799883) is strongly associated with lipid Citation: Leo´nska-Duniec,A.; Switała,´ K.; Ahmetov, I.I.; Pickering, and carbohydrate metabolism, although the function of its potential modifying effect on training- C.; Massidda, M.; Buryta, M.; induced changes in obesity-related parameters is still unknown. The aim of the present study was Mastalerz, A.; Maculewicz, E.
    [Show full text]
  • A 3' UTR SNP Rs885863, a Cis-Eqtl for the Circadian Gene VIPR2 and Lincrna 689, Is Associated with Opioid Addiction
    RESEARCH ARTICLE A 3' UTR SNP rs885863, a cis-eQTL for the circadian gene VIPR2 and lincRNA 689, is associated with opioid addiction 1 1 2 3 4 Orna LevranID *, Matthew Randesi , John Rotrosen , Jurg Ott , Miriam Adelson , Mary Jeanne Kreek1 1 The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, New York, United States of America, 2 NYU School of Medicine, New York, New York, United States of America, 3 The Laboratory of Statistical Genetics, The Rockefeller University, New York, New York, United States of a1111111111 America, 4 Dr. Miriam and Sheldon G. Adelson Clinic for Drug Abuse Treatment and Research, Las Vegas, a1111111111 Nevada, United States of America a1111111111 a1111111111 * [email protected] a1111111111 Abstract There is a reciprocal relationship between the circadian and the reward systems. Polymor- OPEN ACCESS phisms in several circadian rhythm-related (clock) genes were associated with drug addic- Citation: Levran O, Randesi M, Rotrosen J, Ott J, tion. This study aims to search for associations between 895 variants in 39 circadian Adelson M, Kreek MJ (2019) A 3' UTR SNP rhythm-related genes and opioid addiction (OUD). Genotyping was performed with the rs885863, a cis-eQTL for the circadian gene VIPR2 ® and lincRNA 689, is associated with opioid Smokescreen array. Ancestry was verified by principal/MDS component analysis and the addiction. PLoS ONE 14(11): e0224399. https:// sample was limited to European Americans (EA) (OUD; n = 435, controls; n = 138). Nomi- doi.org/10.1371/journal.pone.0224399 nally significant associations (p < 0.01) were detected for several variants in genes encoding Editor: Huiping Zhang, Boston University, UNITED vasoactive intestinal peptide receptor 2 (VIPR2), period circadian regulator 2 (PER2), STATES casein kinase 1 epsilon (CSNK1E), and activator of transcription and developmental regula- Received: August 22, 2019 tor (AUTS2), but no signal survived correction for multiple testing.
    [Show full text]
  • Viewed Under 23 (B) Or 203 (C) fi M M Male Cko Mice, and Largely Unaffected Magni Cation; Scale Bars, 500 M (B) and 50 M (C)
    BRIEF COMMUNICATION www.jasn.org Renal Fanconi Syndrome and Hypophosphatemic Rickets in the Absence of Xenotropic and Polytropic Retroviral Receptor in the Nephron Camille Ansermet,* Matthias B. Moor,* Gabriel Centeno,* Muriel Auberson,* † † ‡ Dorothy Zhang Hu, Roland Baron, Svetlana Nikolaeva,* Barbara Haenzi,* | Natalya Katanaeva,* Ivan Gautschi,* Vladimir Katanaev,*§ Samuel Rotman, Robert Koesters,¶ †† Laurent Schild,* Sylvain Pradervand,** Olivier Bonny,* and Dmitri Firsov* BRIEF COMMUNICATION *Department of Pharmacology and Toxicology and **Genomic Technologies Facility, University of Lausanne, Lausanne, Switzerland; †Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, Massachusetts; ‡Institute of Evolutionary Physiology and Biochemistry, St. Petersburg, Russia; §School of Biomedicine, Far Eastern Federal University, Vladivostok, Russia; |Services of Pathology and ††Nephrology, Department of Medicine, University Hospital of Lausanne, Lausanne, Switzerland; and ¶Université Pierre et Marie Curie, Paris, France ABSTRACT Tight control of extracellular and intracellular inorganic phosphate (Pi) levels is crit- leaves.4 Most recently, Legati et al. have ical to most biochemical and physiologic processes. Urinary Pi is freely filtered at the shown an association between genetic kidney glomerulus and is reabsorbed in the renal tubule by the action of the apical polymorphisms in Xpr1 and primary fa- sodium-dependent phosphate transporters, NaPi-IIa/NaPi-IIc/Pit2. However, the milial brain calcification disorder.5 How- molecular identity of the protein(s) participating in the basolateral Pi efflux remains ever, the role of XPR1 in the maintenance unknown. Evidence has suggested that xenotropic and polytropic retroviral recep- of Pi homeostasis remains unknown. Here, tor 1 (XPR1) might be involved in this process. Here, we show that conditional in- we addressed this issue in mice deficient for activation of Xpr1 in the renal tubule in mice resulted in impaired renal Pi Xpr1 in the nephron.
    [Show full text]
  • The Genomic Response to Retinal Disease and Injury: Evidence for Endothelin Signaling from Photoreceptors to Glia
    4540 • The Journal of Neuroscience, May 4, 2005 • 25(18):4540–4549 Neurobiology of Disease The Genomic Response to Retinal Disease and Injury: Evidence for Endothelin Signaling from Photoreceptors to Glia Amir Rattner1 and Jeremy Nathans1,2 1Department of Molecular Biology and Genetics and 2Departments of Neuroscience and Ophthalmology and Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205 Regardless of proximal cause, photoreceptor injury or disease almost invariably leads to the activation of Muller cells, the principal glial cells in the retina. This observation implies the existence of signaling systems that inform Muller cells of the health status of photorecep- tors. It further suggests that diverse types of photoreceptor damage elicit a limited range of biochemical responses. Using the mouse retina, we show by microarray, RNA blot, and in situ hybridization that the genomic responses to both light damage and inherited photoreceptor degeneration involve a relatively small number of genes and that the genes activated by these two insults overlap substan- tially with one another and with the genes activated by retinal detachment. Among the induced transcripts, those coding for endothelin2 (Edn2) are unusual in that they are localized to photoreceptors and are also highly induced in all of the tested models of photoreceptor disease or injury. Acute light damage also leads to a Ͼ10-fold increase in endothelin receptor B (Ednrb) in Muller cells 24 h after injury. These observations suggest that photoreceptor-derived EDN2 functions as a general stress signal, that EDN2 signals to Muller cells by binding to EDNRB, and that Muller cells can increase their sensitivity to EDN2 as part of the injury response.
    [Show full text]
  • Systematic Screening for Potential Therapeutic Targets in Osteosarcoma Through a Kinome-Wide CRISPR-Cas9 Library
    Cancer Biol Med 2020. doi: 10.20892/j.issn.2095-3941.2020.0162 ORIGINAL ARTICLE Systematic screening for potential therapeutic targets in osteosarcoma through a kinome-wide CRISPR-Cas9 library Yuanzhong Wu*, Liwen Zhou*, Zifeng Wang, Xin Wang, Ruhua Zhang, Lisi Zheng, Tiebang Kang Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China ABSTRACT Objective: Osteosarcoma is the most common primary malignant bone tumor. However, the survival of patients with osteosarcoma has remained unchanged during the past 30 years, owing to a lack of efficient therapeutic targets. Methods: We constructed a kinome-targeting CRISPR-Cas9 library containing 507 kinases and 100 nontargeting controls and screened the potential kinase targets in osteosarcoma. The CRISPR screening sequencing data were analyzed with the Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) Python package. The functional data were applied in the 143B cell line through lenti-CRISPR-mediated gene knockout. The clinical significance of kinases in the survival of patients with osteosarcoma was analyzed in the R2: Genomics Analysis and Visualization Platform. Results: We identified 53 potential kinase targets in osteosarcoma. Among these targets, we analyzed 3 kinases, TRRAP, PKMYT1, and TP53RK, to validate their oncogenic functions in osteosarcoma. PKMYT1 and TP53RK showed higher expression in osteosarcoma than in normal bone tissue, whereas TRRAP showed no significant difference. High expression of all 3 kinases was associated with relatively poor prognosis in patients with osteosarcoma. Conclusions: Our results not only offer potential therapeutic kinase targets in osteosarcoma but also provide a paradigm for functional genetic screening by using a CRISPR-Cas9 library, including target design, library construction, screening workflow, data analysis, and functional validation.
    [Show full text]
  • ACE2 Interaction Networks in COVID-19: a Physiological Framework for Prediction of Outcome in Patients with Cardiovascular Risk Factors
    Journal of Clinical Medicine Article ACE2 Interaction Networks in COVID-19: A Physiological Framework for Prediction of Outcome in Patients with Cardiovascular Risk Factors Zofia Wicik 1,2 , Ceren Eyileten 2, Daniel Jakubik 2,Sérgio N. Simões 3, David C. Martins Jr. 1, Rodrigo Pavão 1, Jolanta M. Siller-Matula 2,4,* and Marek Postula 2 1 Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, Santo Andre 09606-045, Brazil; zofi[email protected] (Z.W.); [email protected] (D.C.M.J.); [email protected] (R.P.) 2 Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Center for Preclinical Research and Technology CEPT, 02-091 Warsaw, Poland; [email protected] (C.E.); [email protected] (D.J.); [email protected] (M.P.) 3 Federal Institute of Education, Science and Technology of Espírito Santo, Serra, Espírito Santo 29056-264, Brazil; [email protected] 4 Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, 1090 Vienna, Austria * Correspondence: [email protected]; Tel.: +43-1-40400-46140; Fax: +43-1-40400-42160 Received: 9 October 2020; Accepted: 17 November 2020; Published: 21 November 2020 Abstract: Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (coronavirus disease 2019; COVID-19) is associated with adverse outcomes in patients with cardiovascular disease (CVD). The aim of the study was to characterize the interaction between SARS-CoV-2 and Angiotensin-Converting Enzyme 2 (ACE2) functional networks with a focus on CVD. Methods: Using the network medicine approach and publicly available datasets, we investigated ACE2 tissue expression and described ACE2 interaction networks that could be affected by SARS-CoV-2 infection in the heart, lungs and nervous system.
    [Show full text]
  • (SLC22A18) (NM 183233) Human Recombinant Protein 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 TP304889 Solute carrier family 22 member 18 (SLC22A18) (NM_183233) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Recombinant protein of human solute carrier family 22, member 18 (SLC22A18), transcript variant 2 Species: Human Expression Host: HEK293T Tag: C-Myc/DDK Predicted MW: 44.7 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25 mM Tris.HCl, pH 7.3, 100 mM glycine, 10% glycerol Preparation: Recombinant protein was captured through anti-DDK affinity column followed by conventional chromatography steps. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_899056 Locus ID: 5002 UniProt ID: Q96BI1 RefSeq Size: 1563 Cytogenetics: 11p15.4 RefSeq ORF: 1272 Synonyms: BWR1A; BWSCR1A; HET; IMPT1; ITM; ORCTL2; p45-BWR1A; SLC22A1L; TSSC5 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 Solute carrier family 22 member 18 (SLC22A18) (NM_183233) Human Recombinant Protein – TP304889 Summary: This gene is one of several tumor-suppressing subtransferable fragments located in the imprinted gene domain of 11p15.5, an important tumor-suppressor gene region. Alterations in this region have been associated with the Beckwith-Wiedemann syndrome, Wilms tumor, rhabdomyosarcoma, adrenocortical carcinoma, and lung, ovarian, and breast cancer.
    [Show full text]
  • Supplementary Table S1. Upregulated Genes Differentially
    Supplementary Table S1. Upregulated genes differentially expressed in athletes (p < 0.05 and 1.3-fold change) Gene Symbol p Value Fold Change 221051_s_at NMRK2 0.01 2.38 236518_at CCDC183 0.00 2.05 218804_at ANO1 0.00 2.05 234675_x_at 0.01 2.02 207076_s_at ASS1 0.00 1.85 209135_at ASPH 0.02 1.81 228434_at BTNL9 0.03 1.81 229985_at BTNL9 0.01 1.79 215795_at MYH7B 0.01 1.78 217979_at TSPAN13 0.01 1.77 230992_at BTNL9 0.01 1.75 226884_at LRRN1 0.03 1.74 220039_s_at CDKAL1 0.01 1.73 236520_at 0.02 1.72 219895_at TMEM255A 0.04 1.72 201030_x_at LDHB 0.00 1.69 233824_at 0.00 1.69 232257_s_at 0.05 1.67 236359_at SCN4B 0.04 1.64 242868_at 0.00 1.63 1557286_at 0.01 1.63 202780_at OXCT1 0.01 1.63 1556542_a_at 0.04 1.63 209992_at PFKFB2 0.04 1.63 205247_at NOTCH4 0.01 1.62 1554182_at TRIM73///TRIM74 0.00 1.61 232892_at MIR1-1HG 0.02 1.61 204726_at CDH13 0.01 1.6 1561167_at 0.01 1.6 1565821_at 0.01 1.6 210169_at SEC14L5 0.01 1.6 236963_at 0.02 1.6 1552880_at SEC16B 0.02 1.6 235228_at CCDC85A 0.02 1.6 1568623_a_at SLC35E4 0.00 1.59 204844_at ENPEP 0.00 1.59 1552256_a_at SCARB1 0.02 1.59 1557283_a_at ZNF519 0.02 1.59 1557293_at LINC00969 0.03 1.59 231644_at 0.01 1.58 228115_at GAREM1 0.01 1.58 223687_s_at LY6K 0.02 1.58 231779_at IRAK2 0.03 1.58 243332_at LOC105379610 0.04 1.58 232118_at 0.01 1.57 203423_at RBP1 0.02 1.57 AMY1A///AMY1B///AMY1C///AMY2A///AMY2B// 208498_s_at 0.03 1.57 /AMYP1 237154_at LOC101930114 0.00 1.56 1559691_at 0.01 1.56 243481_at RHOJ 0.03 1.56 238834_at MYLK3 0.01 1.55 213438_at NFASC 0.02 1.55 242290_at TACC1 0.04 1.55 ANKRD20A1///ANKRD20A12P///ANKRD20A2///
    [Show full text]
  • Melatonin-The Hormone of Darkness - O
    PHYSIOLOGY AND MAINTENANCE – Vol. III - Melatonin-The Hormone of Darkness - O. Vakkuri MELATONIN―THE HORMONE OF DARKNESS O. Vakkuri Department of Physiology, University of Oulu, Finland. Keywords: Pineal gland, retina, suprachiasmatic nuclei, circadian and circannual rhythms. Contents 1. Introduction 2. Melatonin as Pineal Hormone of Darkness 3. Melatonin in Other Tissues 4. Circadian Secretion Pattern of Melatonin 5. Seasonal Secretion of Melatonin 6. Metabolism of Melatonin 7. Melatonin Receptors 8. Biological Action Profile of Melatonin 8.1. Melatonin and Sleep 8.2. Melatonin as Antioxidant and Cancer 8.3. Melatonin, Mental Health and Aging 9. Future Perspectives 10. Conclusions Glossary Bibliography Biographical Sketch Summary Melatonin, the pineal hormone of darkness, was originally found and chemically characterized to N-acetyl-5-methoxytryptamine in bovine pineal extracts in the late 1950s. Since then melatonin has been studied more and more intensively and not only in humans and several animal species but lately also in plants. After its first-described biological effect, i.e. skin-lightening effect in lower vertebrates, melatonin was shortly known as a rhythm marker due to its circadian biosynthesis and secretion pattern in the pineal gland: melatonin is synthesized and secreted during the night, i.e. the dark period of the day.UNESCO This circadian rhythm is endoge – nouslyEOLSS regulated by the biological clock in the suprachiasmatic nuclei of the hypothalamus. Environmental light has a clear inhibiting effectSAMPLE on melatonin biosynthesis, CHAPTERS continuously entraining the melatonin rhythm so that endogenous and exogenous rhythms are maintained in the same phase. The entraining light information is transmitting via the eyes and the retinohypothalamic tract to the suprachiasmatic nuclei and then via the paraventricular nuclei to superior cervical ganglia from which along the sympathetic tract finally to the pineal gland.
    [Show full text]
  • 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.
    [Show full text]