WO 2019/018441 Al 24 January 2019 (24.01.2019) W !P O PCT

Total Page:16

File Type:pdf, Size:1020Kb

WO 2019/018441 Al 24 January 2019 (24.01.2019) W !P O PCT (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2019/018441 Al 24 January 2019 (24.01.2019) W !P O PCT (51) International Patent Classification: TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, C12Q 1/68 (2018.01) G06F 19/00 (2018.01) KM, ML, MR, NE, SN, TD, TG). G01N 33/574 (2006.01) Published: (21) International Application Number: — with international search report (Art. 21(3)) PCT/US2018/042557 — before the expiration of the time limit for amending the (22) International Filing Date: claims and to be republished in the event of receipt of 17 July 2018 (17.07.2018) amendments (Rule 48.2(h)) — with sequence listing part of description (Rule 5.2(a)) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 62/533,639 17 July 2017 (17.07.2017) US 62/585,534 13 November 2017 (13. 11.2017) US 62/690,304 26 June 2018 (26.06.2018) US (71) Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY [US/US]; 77 Massachusetts Avenue, Cambridge, Massachusetts 02139 (US). (72) Inventors: SHALEK, Alexander K.; c/o 77 Massachu setts Avenue, Cambridge, Massachusetts 02139 (US). OR- DOVAS-MONTANES, Jose; c/o 77 Massachusetts Av enue, Cambridge, Massachusetts 02139 (US). (74) Agent: SCHER, Michael B. et al; Johnson, Marcou & Isaacs, LLC, P.O. Box 691, Hoschton, Georgia 30548 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW,KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, (54) Title: CELL ATLAS OF HEALTHY AND DISEASED BARRIER TISSUES 00 (57) Abstract: Embodiments disclosed herein provide a cell atlas of barrier tissues from healthy and diseased subject. The atlas was © obtained by single cell sequencing of approximately 18,036 cells in a surgical data set and 18,704 cells from scrapings. The present invention discloses novel markers for cell types. Moreover, genes associated with disease, including type 2 inflammation are identified. The invention provides for diagnostic assays based on gene markers and cell composition, as well as therapeutic targets for controlling o differentiation, proliferation, maintenance and/or function of the cell types disclosed herein. In addition, novel cell types and methods of quantitating, detecting and isolating the cell types are disclosed. CELL ATLAS OF HEALTHY AND DISEASED BARRIER TISSUES CROSS-REFERENCE TO RELATED APPLICATIONS [0001] This application claims the benefit of U.S. Provisional Application Nos. 62/533,639, filed July 17, 2017, 62/585,534, filed November 13, 2017 and 62/690,304, filed June 26, 2018. The entire contents of the above-identified applications are hereby fully incorporated herein by reference. STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH [0002] This invention was made with government support under Grant Nos. OD020839, AI089992, CA217377, AI039671, AI118672, HG006193 and CA202820 awarded by the National Institutes of Health. The government has certain rights in the invention. TECHNICAL FIELD [0003] The subject matter disclosed herein is generally directed to a cell atlas of barrier tissue cell types in healthy and disease states. The subject matter further relates to novel cell specific and disease specific markers and therapeutic targets. BACKGROUND [0004] Upper respiratory inflammation can afflict individuals on both acute and chronic timescales. Chronic inflammation of the upper airway sinuses is clinically referred to as chronic rhinosinusitis (CRS). The main pathophysiological division within CRS is between individuals who develop an inflamed mucosa (CRSsNP), and those who develop structures known as nasal polyps (CRSwNP), which are outgrowths of cells from the normal mucosa and can completely obstruct nasal passages. Both types of CRS exhibit an inflammatory pattern that is consistent with exuberant Type 2 immunity (T2I). However, our understanding of the drivers of phenotypic divergence and polyp formation remain unclear. SUMMARY OF THE INVENTION [0005] Applicants report the first single-cell transcriptomes for human respiratory epithelial cell subsets, immune cells, and parenchymal cells (18,036 total cells) from an allergic inflammatory disease and map key T2I mediators. [0006] In certain embodiments, the cell type may be detected by measuring one or more markers for each cell type selected from Table 1-15. [0007] In another aspect, the present invention comprises a method for detecting type 2 inflammation, including chronic type 2, inflammation in a barrier tissue, comprising detecting loss of cell type diversity, including increase basal cell composition, by detecting one or more markers from Table 1-15. [0008] In certain embodiments, the cell type as defined by expression of the markers described herein may be obtained by sorting cells based on expression of one or more markers for each cell type according to Table 1-15. In certain example embodiments, the quantity of cells may be determined by cell specific markers and gene expression assigned to each cell. In another aspect, the present invention comprises an isolated barrier cell characterized by expression of one or more markers from Table 1-15. [0009] In another aspect, the present invention provides methods for detecting or quantifying barrier cells in a biological sample of a subject, the method comprising detecting or quantifying in the biological sample barrier cells as defined in any embodiment herein. The barrier cells may be detected or quantified using one or more cell surface markers for a cell type selected from Table 1-15. [0010] In another aspect, the present invention provides for a method of isolating a barrier cell from a biological sample of a subject, the method comprising isolating from the biological sample barrier cells as defined as defined in any embodiment herein. The barrier cell may be isolated using one or more surface markers for a cell type selected from Table 1-15. [0011] In certain embodiments, the barrier may be isolated, detected or quantified using a technique selected from the group consisting of RT-PCR, RNA-seq, single cell RNA-seq, western blot, ELISA, flow cytometry, mass cytometry, fluorescence activated cell sorting, fluorescence microscopy, affinity separation, magnetic cell separation, microfluidic separation, and combinations thereof. [0012] In another aspect, the present invention provides for a method of modulating the barrier cell composition comprising treating a subject with an agent capable of targeting a barrier cell and inducing it to differentiate. [0013] In another aspect, the present invention provides for a method of modulating barrier cell proliferation, differentiation, maintenance and/or function, comprising: contacting a barrier cell or population of barrier cells with a barrier cell modulating agent in an amount sufficient to modify differentiation, maintenance, and/or function of the barrier cell or population of barrier cells as compared to differentiation, maintenance, and/or function of the barrier cell population or population of barrier cells in the absence of the barrier cell modulating agent. [0014] In another aspect, the present invention provides for a method for modulating cellular interactions within cellular ensembles, comprising administering to a cellular ensemble a modulating agent in an amount sufficient to change or modify extracellular signaling from a first cell type such that a change in one or more cell states is induced in a second cell type. In certain embodiments, the cellular ensemble is a two dimensional (2D) or three dimensional (3D) in vitro or ex vivo culture, a tissue on a chip, an organoid, or in vivo cells within a defined tissue, tissue compartment, or signaling microenvironment. [0015] In certain embodiments, the first cell type comprises one or more pathogenic cells and the second cell type comprises on or more host cell types. In certain embodiments, the first cell type comprises one or more diseased cell types and the second cell type comprises one or more healthy cell types. The one or more diseased cell types may be cancer cells. The first cell type may comprise one or more stem cell types and the second cell type comprises one or more immune cell types. [0016] In certain embodiments, extracellular signaling is receptor-ligand mediated, cytokine/chemokine mediated, or metabolically mediated. In certain embodiments, the cellular ensemble comprises epithelial tissues. The first cell type may be an immune cell and the second cell type may be an epithelial stem cell. The epithelial stem cell may be a basal cell. [0017] In certain embodiments, the modulating agent antagonizes IL-4/13 signaling in the immune cells such that the differentiation of basal cells is induced. [0018] In another aspect, the present invention provides for a method of treating inflammatory disease in barrier tissues comprising administering to a subject in need thereof, an IL-4 and/or IL- 13 modulating agent in an amount sufficient to induce basal cell differentiation.
Recommended publications
  • Small Cell Ovarian Carcinoma: Genomic Stability and Responsiveness to Therapeutics
    Gamwell et al. Orphanet Journal of Rare Diseases 2013, 8:33 http://www.ojrd.com/content/8/1/33 RESEARCH Open Access Small cell ovarian carcinoma: genomic stability and responsiveness to therapeutics Lisa F Gamwell1,2, Karen Gambaro3, Maria Merziotis2, Colleen Crane2, Suzanna L Arcand4, Valerie Bourada1,2, Christopher Davis2, Jeremy A Squire6, David G Huntsman7,8, Patricia N Tonin3,4,5 and Barbara C Vanderhyden1,2* Abstract Background: The biology of small cell ovarian carcinoma of the hypercalcemic type (SCCOHT), which is a rare and aggressive form of ovarian cancer, is poorly understood. Tumourigenicity, in vitro growth characteristics, genetic and genomic anomalies, and sensitivity to standard and novel chemotherapeutic treatments were investigated in the unique SCCOHT cell line, BIN-67, to provide further insight in the biology of this rare type of ovarian cancer. Method: The tumourigenic potential of BIN-67 cells was determined and the tumours formed in a xenograft model was compared to human SCCOHT. DNA sequencing, spectral karyotyping and high density SNP array analysis was performed. The sensitivity of the BIN-67 cells to standard chemotherapeutic agents and to vesicular stomatitis virus (VSV) and the JX-594 vaccinia virus was tested. Results: BIN-67 cells were capable of forming spheroids in hanging drop cultures. When xenografted into immunodeficient mice, BIN-67 cells developed into tumours that reflected the hypercalcemia and histology of human SCCOHT, notably intense expression of WT-1 and vimentin, and lack of expression of inhibin. Somatic mutations in TP53 and the most common activating mutations in KRAS and BRAF were not found in BIN-67 cells by DNA sequencing.
    [Show full text]
  • Table S1 Association Results
    GeneName p.Weighted p.Weighted.adj cor.Weighted GO.term.1 GO.term.2 SLC44A1.2 3.55E-15 7.81E-08 0.819822422 choline transport mitochondria GLTP.1 5.77E-15 1.27E-07 0.816302445 lipid metabolic process sphingolipid MTMR10.1 6.39E-14 1.41E-06 0.797951424 cytosol phosphatase SOX8 2.37E-13 5.21E-06 0.787085514 transcription factor neural crest GPRC5B.1 4.19E-13 9.22E-06 0.782154937 integral membrane G-protein NCAM1.3 4.45E-13 9.79E-06 0.781624896 protein binding myelin SLC44A1.1 1.28E-12 2.82E-05 0.772132954 choline transport mitochondria FAM107B 1.56E-12 3.43E-05 0.77025677 mitochondria mitochondria UGT8.1 1.77E-12 3.89E-05 0.769099729 transferase myelin ERBB3.2 2.07E-12 4.55E-05 0.767631259 transcription factor protein tyrosine kinase MAN2A1 3.10E-12 6.82E-05 0.763759677 metabolic process hydrolase activity PLEKHH1.1 3.24E-12 7.13E-05 0.763337879 unknown unknown DOCK5.3 3.69E-12 8.12E-05 0.762087913 protein binding cell adhesion RNF130 3.69E-12 8.12E-05 0.762094156 membrane metal ion binding NPC1 6.50E-12 1.43E-04 0.756517114 cholesterol trafficking sphingolipid ERMN 7.22E-12 1.59E-04 0.755469786 actin binding myelin BOK 9.80E-12 2.16E-04 0.752383357 protein binding apoptosis CNTN2 1.54E-11 3.39E-04 0.747743281 unknown unknown ELOVL1 1.55E-11 3.41E-04 0.74764744 fatty acid sphingolipid DBNDD2 3.55E-11 7.81E-04 0.738878658 protein binding neuron projection LASS2 5.09E-11 1.12E-03 0.734954024 lipid metabolic process myelin C12orf34 7.57E-11 1.67E-03 0.730528911 unknown unknown LIPA 9.59E-11 2.11E-03 0.72786111 fatty acid glycerolipid metabolic
    [Show full text]
  • Impact of Natural HIV-1 Nef Alleles and Polymorphisms on SERINC3/5 Downregulation
    Impact of natural HIV-1 Nef alleles and polymorphisms on SERINC3/5 downregulation by Steven W. Jin B.Sc., Simon Fraser University, 2016 Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Master of Science Program Faculty of Health Sciences © Steven W. Jin 2019 SIMON FRASER UNIVERSITY Spring 2019 Copyright in this work rests with the author. Please ensure that any reproduction or re-use is done in accordance with the relevant national copyright legislation. Approval Name: Steven W. Jin Degree: Master of Science Title: Impact of natural HIV-1 Nef alleles and polymorphisms on SERINC3/5 downregulation Examining Committee: Chair: Kanna Hayashi Assistant Professor Mark Brockman Senior Supervisor Associate Professor Masahiro Niikura Supervisor Associate Professor Ralph Pantophlet Supervisor Associate Professor Lisa Craig Examiner Professor Department of Molecular Biology and Biochemistry Date Defended/Approved: April 25, 2019 ii Ethics Statement iii Abstract HIV-1 Nef is a multifunctional accessory protein required for efficient viral pathogenesis. It was recently identified that the serine incorporators (SERINC) 3 and 5 are host restriction factors that decrease the infectivity of HIV-1 when incorporated into newly formed virions. However, Nef counteracts these effects by downregulating SERINC from the cell surface. Currently, there lacks a comprehensive study investigating the impact of primary Nef alleles on SERINC downregulation, as most studies to date utilize lab- adapted or reference HIV strains. In this thesis, I characterized and compared SERINC downregulation from >400 Nef alleles isolated from patients with distinct clinical outcomes and subtypes. I found that primary Nef alleles displayed a dynamic range of SERINC downregulation abilities, thus allowing naturally-occurring polymorphisms that modulate this activity to be identified.
    [Show full text]
  • Functional and Molecular Heterogeneity Of
    ARTICLE https://doi.org/10.1038/s41467-020-15716-9 OPEN Functional and molecular heterogeneity of D2R neurons along dorsal ventral axis in the striatum ✉ Emma Puighermanal1,2 , Laia Castell1, Anna Esteve-Codina 3, Su Melser4,5, Konstantin Kaganovsky 6, Charleine Zussy1, Jihane Boubaker-Vitre1, Marta Gut3,7, Stephanie Rialle1, Christoph Kellendonk8,9, Elisenda Sanz2, Albert Quintana 2, Giovanni Marsicano4,5, Miquel Martin1, Marcelo Rubinstein10,11,12, ✉ Jean-Antoine Girault 13,14,15, Jun B. Ding6 & Emmanuel Valjent 1 1234567890():,; Action control is a key brain function determining the survival of animals in their environ- ment. In mammals, neurons expressing dopamine D2 receptors (D2R) in the dorsal striatum (DS) and the nucleus accumbens (Acb) jointly but differentially contribute to the fine reg- ulation of movement. However, their region-specific molecular features are presently unknown. By combining RNAseq of striatal D2R neurons and histological analyses, we identified hundreds of novel region-specific molecular markers, which may serve as tools to target selective subpopulations. As a proof of concept, we characterized the molecular identity of a subcircuit defined by WFS1 neurons and evaluated multiple behavioral tasks after its temporally-controlled deletion of D2R. Consequently, conditional D2R knockout mice displayed a significant reduction in digging behavior and an exacerbated hyperlocomotor response to amphetamine. Thus, targeted molecular analyses reveal an unforeseen hetero- geneity in D2R-expressing striatal neuronal populations, underlying specific D2R’s functional features in the control of specific motor behaviors. 1 IGF, CNRS, INSERM, Université Montpellier, Montpellier, France. 2 Neuroscience Institute, Department of Cell Biology, Physiology and Immunology, Autonomous University of Barcelona, Bellaterra, Spain.
    [Show full text]
  • Table 2. Significant
    Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S.
    [Show full text]
  • Experimental Chronic Jet Lag Promotes Growth and Lung Metastasis of Lewis Lung Carcinoma in C57BL/6 Mice
    ONCOLOGY REPORTS 27: 1417-1428, 2012 Experimental chronic jet lag promotes growth and lung metastasis of Lewis lung carcinoma in C57BL/6 mice 1,2,6 1,3 1,4 1,2 1,5 MINGWEI WU , JING ZENG , YANFENG CHEN , ZHAOLEI ZENG , JINXIN ZHANG , YUCHEN CAI1,2, YANLI YE1,2, LIWU FU1,2, LIJIAN XIAN1,2 and ZHONGPING CHEN1,6 1 2 3 4 State Key Laboratory of Oncology in South China; Departments of Research, Pathology, and Head and Neck Cancer, Cancer Center, Sun Yat-Sen University; 5Department of Medical Statistics and Epidemiology, Sun Yat-Sen University; 6Department of Neurosurgery, Cancer Center, Sun Yat-Sen University, Guangzhou, Guangdong, P.R. China Received December 8, 2011; Accepted January 17, 2012 DOI: 10.3892/or.2012.1688 Abstract. Circadian rhythm has been linked to cancer genesis are governed by a biological clock. The mammalian circadian and development, but the detailed mechanism by which circa- clock contains three components: input pathways, a central dian disruption accelerates tumor growth remains unclear. The pacemaker and output pathways. The mammalian central purpose of this study was to investigate the effect of circadian pacemaker is located in the suprachiasmatic nuclei (SCN) disruption on tumor growth and metastasis in male C57BL/6 of the anterior hypothalamus and controls the activity of the mice, using an experimental chronic jet lag model. Lewis lung peripheral clocks through the neuroendocrine and autonomic carcinoma cells were inoculated into both flanks of the mice nervous systems (1,2). Circadian rhythms govern the rhythmic following 10 days of exposure to experimental chronic jet lag changes in the behavior and/or physiology of mammals, such or control conditions.
    [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]
  • Regulation of Xenobiotic and Bile Acid Metabolism by the Anti-Aging Intervention Calorie Restriction in Mice
    REGULATION OF XENOBIOTIC AND BILE ACID METABOLISM BY THE ANTI-AGING INTERVENTION CALORIE RESTRICTION IN MICE By Zidong Fu Submitted to the Graduate Degree Program in Pharmacology, Toxicology, and Therapeutics and the Graduate Faculty of the University of Kansas in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Dissertation Committee ________________________________ Chairperson: Curtis Klaassen, Ph.D. ________________________________ Udayan Apte, Ph.D. ________________________________ Wen-Xing Ding, Ph.D. ________________________________ Thomas Pazdernik, Ph.D. ________________________________ Hao Zhu, Ph.D. Date Defended: 04-11-2013 The Dissertation Committee for Zidong Fu certifies that this is the approved version of the following dissertation: REGULATION OF XENOBIOTIC AND BILE ACID METABOLISM BY THE ANTI-AGING INTERVENTION CALORIE RESTRICTION IN MICE ________________________________ Chairperson: Curtis Klaassen, Ph.D. Date approved: 04-11-2013 ii ABSTRACT Calorie restriction (CR), defined as reduced calorie intake without causing malnutrition, is the best-known intervention to increase life span and slow aging-related diseases in various species. However, current knowledge on the exact mechanisms of aging and how CR exerts its anti-aging effects is still inadequate. The detoxification theory of aging proposes that the up-regulation of xenobiotic processing genes (XPGs) involved in phase-I and phase-II xenobiotic metabolism as well as transport, which renders a wide spectrum of detoxification, is a longevity mechanism. Interestingly, bile acids (BAs), the metabolites of cholesterol, have recently been connected with longevity. Thus, this dissertation aimed to determine the regulation of xenobiotic and BA metabolism by the well-known anti-aging intervention CR. First, the mRNA expression of XPGs in liver during aging was investigated.
    [Show full text]
  • Genetics of Amyotrophic Lateral Sclerosis in the Han Chinese
    Genetics of amyotrophic lateral sclerosis in the Han Chinese Ji He A thesis submitted for the degree of Master of Philosophy at The University of Queensland in 2015 The University of Queensland Diamantina Institute 1 Abstract Amyotrophic lateral sclerosis is the most frequently occurring neuromuscular degenerative disorders, and has an obscure aetiology. Whilst major progress has been made, the majority of the genetic variation involved in ALS is, as yet, undefined. In this thesis, multiple genetic studies have been conducted to advance our understanding of the genetic architecture of the disease. In the light of the paucity of comprehensive genetic studies performed in Chinese, the presented study focused on advancing our current understanding in genetics of ALS in the Han Chinese population. To identify genetic variants altering risk of ALS, a genome-wide association study (GWAS) was performed. The study included 1,324 Chinese ALS cases and 3,115 controls. After quality control, a number of analyses were performed in a cleaned dataset of 1,243 cases and 2,854 controls that included: a genome-wide association analysis to identify SNPs associated with ALS; a genomic restricted maximum likelihood (GREML) analysis to estimate the proportion of the phenotypic variance in ALS liability due to common SNPs; and a gene- based analysis to identify genes associated with ALS. There were no genome-wide significant SNPs or genes associated with ALS. However, it was estimated that 17% (SE: 0.05; P=6×10-5) of the phenotypic variance in ALS liability was due to common SNPs. The top associated SNP was within GNAS (rs4812037; p =7×10-7).
    [Show full text]
  • See Also Figure 1
    Figure S1. Box-and-whisker plots depicting the range of expression values per developmental stage, with DESeq normalization (A) or quantile normalization (B). See also Figure 1. Figure S2. Lv-Setmar expression has low variation over developmental time. A. A plot of Lv-setmar versus Lv-ubiquitin expression over time demonstrates that Lv-setmar exhibits less temporal variation than Lv-ubiquitin. B. A representative gel showing Lv-setmar qPCR products amplified from cDNAs representing each sequenced stage in this study, demonstrating comparable product levels and an absence of spurious amplification products. See also Figure 1E. Figure S3. LvEDGE database. Screen shots showing the home page (A), the search window (B), an example search with a temporal expression plot (C), and the numerical data reflected in the plot (D) for the LvEDGE public database, which hosts the data described herein. stage 1 2 3 4 5 6 7 8 9 10 11 Category Subcategory 2-cell 60-cell EB HB TVP MB EG MG LG EP LP meiotic Cell Division Cytokinesis Mitosis checkpoint cell division recombination cell cycle stem cell left-right cell left-right Development maintenance asymmetry morphogenesis asymmetry regulation of multicellular organismal process cell soma cell soma Gene Expression chromatin SWI/SNF Control Chromatin modification chromatin binding complex methylated histone Binding negative sequence- sequence- sequence- regulation of sequence- specific DNA specific DNA specific DNA transcription specific DNA sequence-specific DNA binding binding binding binding factor activity
    [Show full text]
  • WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
    (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 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US).
    [Show full text]
  • Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
    Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase
    [Show full text]