Long Non-Coding RNA ABHD11-AS1 Promotes Colorectal Cancer
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) (51) International Patent Classification: Columbia V5G 1G3
) ( (51) International Patent Classification: Columbia V5G 1G3 (CA). PANDEY, Nihar R.; 10209 A 61K 31/4525 (2006.01) C07C 39/23 (2006.01) 128A St, Surrey, British Columbia V3T 3E7 (CA). A61K 31/05 (2006.01) C07D 405/06 (2006.01) (74) Agent: ZIESCHE, Sonia et al.; Gowling WLG (Canada) A61P25/22 (2006.01) LLP, 2300 - 550 Burrard Street, Vancouver, British Colum¬ (21) International Application Number: bia V6C 2B5 (CA). PCT/CA2020/050165 (81) Designated States (unless otherwise indicated, for every (22) International Filing Date: kind of national protection av ailable) . AE, AG, AL, AM, 07 February 2020 (07.02.2020) 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, (25) Filing Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (26) Publication Language: English 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, (30) Priority Data: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 16/270,389 07 February 2019 (07.02.2019) US OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (63) Related by continuation (CON) or continuation-in-part SC, SD, SE, SG, SK, SL, ST, SV, SY, TH, TJ, TM, TN, TR, (CIP) to earlier application: TT, TZ, UA, UG, US, UZ, VC, VN, WS, ZA, ZM, ZW. US 16/270,389 (CON) (84) Designated States (unless otherwise indicated, for every Filed on 07 Februaiy 2019 (07.02.2019) kind of regional protection available) . -
TITLE PAGE Oxidative Stress and Response to Thymidylate Synthase
Downloaded from molpharm.aspetjournals.org at ASPET Journals on October 2, 2021 -Targeted -Targeted 1 , University of of , University SC K.W.B., South Columbia, (U.O., Carolina, This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. -
The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z
REVIEW pubs.acs.org/CR The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z. Long* and Benjamin F. Cravatt* The Skaggs Institute for Chemical Biology and Department of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States CONTENTS 2.4. Other Phospholipases 6034 1. Introduction 6023 2.4.1. LIPG (Endothelial Lipase) 6034 2. Small-Molecule Hydrolases 6023 2.4.2. PLA1A (Phosphatidylserine-Specific 2.1. Intracellular Neutral Lipases 6023 PLA1) 6035 2.1.1. LIPE (Hormone-Sensitive Lipase) 6024 2.4.3. LIPH and LIPI (Phosphatidic Acid-Specific 2.1.2. PNPLA2 (Adipose Triglyceride Lipase) 6024 PLA1R and β) 6035 2.1.3. MGLL (Monoacylglycerol Lipase) 6025 2.4.4. PLB1 (Phospholipase B) 6035 2.1.4. DAGLA and DAGLB (Diacylglycerol Lipase 2.4.5. DDHD1 and DDHD2 (DDHD Domain R and β) 6026 Containing 1 and 2) 6035 2.1.5. CES3 (Carboxylesterase 3) 6026 2.4.6. ABHD4 (Alpha/Beta Hydrolase Domain 2.1.6. AADACL1 (Arylacetamide Deacetylase-like 1) 6026 Containing 4) 6036 2.1.7. ABHD6 (Alpha/Beta Hydrolase Domain 2.5. Small-Molecule Amidases 6036 Containing 6) 6027 2.5.1. FAAH and FAAH2 (Fatty Acid Amide 2.1.8. ABHD12 (Alpha/Beta Hydrolase Domain Hydrolase and FAAH2) 6036 Containing 12) 6027 2.5.2. AFMID (Arylformamidase) 6037 2.2. Extracellular Neutral Lipases 6027 2.6. Acyl-CoA Hydrolases 6037 2.2.1. PNLIP (Pancreatic Lipase) 6028 2.6.1. FASN (Fatty Acid Synthase) 6037 2.2.2. PNLIPRP1 and PNLIPR2 (Pancreatic 2.6.2. -
Monoacylglycerol Lipase Inhibition in Human and Rodent Systems Supports Clinical Evaluation of Endocannabinoid Modulators S
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2018/10/10/jpet.118.252296.DC1 1521-0103/367/3/494–508$35.00 https://doi.org/10.1124/jpet.118.252296 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 367:494–508, December 2018 Copyright ª 2018 The Author(s). This is an open access article distributed under the CC BY Attribution 4.0 International license. Monoacylglycerol Lipase Inhibition in Human and Rodent Systems Supports Clinical Evaluation of Endocannabinoid Modulators s Jason R. Clapper, Cassandra L. Henry, Micah J. Niphakis, Anna M. Knize, Aundrea R. Coppola, Gabriel M. Simon, Nhi Ngo, Rachel A. Herbst, Dylan M. Herbst, Alex W. Reed, Justin S. Cisar, Olivia D. Weber, Andreu Viader, Jessica P. Alexander, Mark L. Cunningham, Todd K. Jones, Iain P. Fraser, Cheryl A. Grice, R. Alan B. Ezekowitz, ’ Gary P. O Neill, and Jacqueline L. Blankman Downloaded from Abide Therapeutics, San Diego, California Received July 26, 2018; accepted October 5, 2018 ABSTRACT Monoacylglycerol lipase (MGLL) is the primary degradative whether selective MGLL inhibition would affect prostanoid pro- jpet.aspetjournals.org enzyme for the endocannabinoid 2-arachidonoylglycerol (2- duction in several human assays known to be sensitive AG). The first MGLL inhibitors have recently entered clinical to cyclooxygenase inhibitors. ABD-1970 robustly elevated brain development for the treatment of neurologic disorders. To 2-AG content and displayed antinociceptive and antipru- support this clinical path, we report the pharmacological ritic activity in a battery of rodent models (ED50 values of characterization of the highly potent and selective MGLL inhibitor 1–2 mg/kg). -
Sox2 Promotes Malignancy in Glioblastoma by Regulating
Volume 16 Number 3 March 2014 pp. 193–206.e25 193 www.neoplasia.com Artem D. Berezovsky*, Laila M. Poisson†, Sox2 Promotes Malignancy in ‡ ‡ David Cherba , Craig P. Webb , Glioblastoma by Regulating Andrea D. Transou*, Nancy W. Lemke*, Xin Hong*, Laura A. Hasselbach*, Susan M. Irtenkauf*, Plasticity and Astrocytic Tom Mikkelsen*,§ and Ana C. deCarvalho* Differentiation1,2 *Department of Neurosurgery, Henry Ford Hospital, Detroit, MI; †Department of Public Health Sciences, Henry Ford Hospital, Detroit, MI; ‡Program of Translational Medicine, Van Andel Research Institute, Grand Rapids, MI; §Department of Neurology, Henry Ford Hospital, Detroit, MI Abstract The high-mobility group–box transcription factor sex-determining region Y–box 2 (Sox2) is essential for the maintenance of stem cells from early development to adult tissues. Sox2 can reprogram differentiated cells into pluripotent cells in concert with other factors and is overexpressed in various cancers. In glioblastoma (GBM), Sox2 is a marker of cancer stemlike cells (CSCs) in neurosphere cultures and is associated with the proneural molecular subtype. Here, we report that Sox2 expression pattern in GBM tumors and patient-derived mouse xenografts is not restricted to a small percentage of cells and is coexpressed with various lineage markers, suggesting that its expression extends beyond CSCs to encompass more differentiated neoplastic cells across molecular subtypes. Employing a CSC derived from a patient with GBM and isogenic differentiated cell model, we show that Sox2 knockdown in the differentiated state abolished dedifferentiation and acquisition of CSC phenotype. Furthermore, Sox2 deficiency specifically impaired the astrocytic component of a biphasic gliosarcoma xenograft model while allowing the formation of tumors with sarcomatous phenotype. -
The Molecular Biology of Pancreatic Adenocarcinoma: Translational Challenges and Clinical Perspectives
Signal Transduction and Targeted Therapy www.nature.com/sigtrans REVIEW ARTICLE OPEN The molecular biology of pancreatic adenocarcinoma: translational challenges and clinical perspectives Shun Wang1, Yan Zheng1, Feng Yang2, Le Zhu1, Xiao-Qiang Zhu3, Zhe-Fang Wang4, Xiao-Lin Wu4, Cheng-Hui Zhou4, Jia-Yan Yan4,5, Bei-Yuan Hu1, Bo Kong6, De-Liang Fu2, Christiane Bruns4, Yue Zhao4, Lun-Xiu Qin1 and Qiong-Zhu Dong 1,7 Pancreatic cancer is an increasingly common cause of cancer mortality with a tight correspondence between disease mortality and incidence. Furthermore, it is usually diagnosed at an advanced stage with a very dismal prognosis. Due to the high heterogeneity, metabolic reprogramming, and dense stromal environment associated with pancreatic cancer, patients benefit little from current conventional therapy. Recent insight into the biology and genetics of pancreatic cancer has supported its molecular classification, thus expanding clinical therapeutic options. In this review, we summarize how the biological features of pancreatic cancer and its metabolic reprogramming as well as the tumor microenvironment regulate its development and progression. We further discuss potential biomarkers for pancreatic cancer diagnosis, prediction, and surveillance based on novel liquid biopsies. We also outline recent advances in defining pancreatic cancer subtypes and subtype-specific therapeutic responses and current preclinical therapeutic models. Finally, we discuss prospects and challenges in the clinical development of pancreatic cancer therapeutics. -
Liquid Biopsy Biomarkers in Bladder Cancer: a Current Need for Patient Diagnosis and Monitoring
Review Liquid Biopsy Biomarkers in Bladder Cancer: A Current Need for Patient Diagnosis and Monitoring Iris Lodewijk 1,2, Marta Dueñas 1,2,3, Carolina Rubio 1,2,3, Ester Munera-Maravilla 1,2, Cristina Segovia 1,2,3, Alejandra Bernardini 1,2,3, Alicia Teijeira 1, Jesús M. Paramio 1,2,3 and Cristian Suárez-Cabrera 1,2,* 1 Molecular Oncology Unit, CIEMAT (Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas), Avenida Complutense nº 40, 28040 Madrid, Spain; [email protected] (I.L.); [email protected] (M.D.); [email protected] (C.R.); [email protected] (E.M.-M.); [email protected] (C.S.); [email protected] (A.B.); [email protected] (A.T.); [email protected] (J.M.P.) 2 Biomedical Research Institute I+12, University Hospital “12 de Octubre”, Av Córdoba s/n, 28041 Madrid, Spain 3 Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain * Correspondence: [email protected]; Tel.: +34-91-496-6438 Received: 28 July 2018; Accepted: 21 August 2018; Published: 24 August 2018 Abstract: Bladder Cancer (BC) represents a clinical and social challenge due to its high incidence and recurrence rates, as well as the limited advances in effective disease management. Currently, a combination of cytology and cystoscopy is the routinely used methodology for diagnosis, prognosis and disease surveillance. However, both the poor sensitivity of cytology tests as well as the high invasiveness and big variation in tumour stage and grade interpretation using cystoscopy, emphasizes the urgent need for improvements in BC clinical guidance. -
The Dark Side of the Human Genome
TECHNOLOGY FEATURE THE DARK SIDE OF THE HUMAN GENOME Scientists are uncovering the hidden switches in our genome that dial gene expression up and down, but much work lies ahead to peel back the many layers of regulation. MEHAU KULYK/SPL MEHAU The human genome is not packed with ‘junk’ as previously thought, but with regulatory regions that modulate gene activity. BY KELLY RAE CHI expression in ways that scientists are only of non-coding portions, that drive when and starting to unravel. By uncovering regulatory where genes are expressed. Scientists have ifteen years ago, scientists celebrated instructions in the genome beyond protein- generated a list of such elements by using bio- the first draft of the sequenced human coding genes, scientists are hoping to yield chemical assays to probe DNA sequences, RNA genome. At the time, they predicted that new ways to understand and treat disease. “It’s transcripts, regulatory proteins bound to DNA Fhumans had between 25,000 and 40,000 genes not overstating to say that ENCODE is as sig- and RNA and epigenetic signatures — the chem- that code for proteins. That estimate has con- nificant for our understanding of the human ical tags on DNA and the proteins packaging it tinued to fall. Humans actually seem to have genome as the original DNA sequencing of the — that also affect gene expression. as few as 19,000 such genes1 — a mere 1–2% of human genome,” says cell biologist Bing Ren of So far, the data suggest that there are the genome. The key to our complexity lies in the University of California, San Diego, Insti- hundreds of thousands of functional regions how these genes are regulated by the remain- tute for Genomic Medicine in La Jolla, who is in the human genome whose task is to control ing 99% of our DNA, known as the genome’s a member of the ENCODE team. -
Source: the Arabidopsis Information Resource (TAIR);
Table S1 List of targeted loci and information about their function in Arabidopsis thaliana (source: The Arabidopsis Information Resource (TAIR); https://www.arabidopsis.org/tools/bulk/genes/index.jsp). Locus Gene Model Gene Model Description Gene Model Primary Gene Symbol All Gene Symbols Identifier Name Type AT1G78800 AT1G78800.1 UDP-Glycosyltransferase superfamily protein_coding protein;(source:Araport11) AT5G06830 AT5G06830.1 hypothetical protein;(source:Araport11) protein_coding AT2G31740 AT2G31740.1 S-adenosyl-L-methionine-dependent methyltransferases protein_coding superfamily protein;(source:Araport11) AT5G11960 AT5G11960.1 magnesium transporter, putative protein_coding (DUF803);(source:Araport11) AT4G00560 AT4G00560.4 NAD(P)-binding Rossmann-fold superfamily protein_coding protein;(source:Araport11) AT1G80510 AT1G80510.1 Encodes a close relative of the amino acid transporter ANT1 protein_coding (AT3G11900). AT2G21250 AT2G21250.1 NAD(P)-linked oxidoreductase superfamily protein_coding protein;(source:Araport11) AT5G04420 AT5G04420.1 Galactose oxidase/kelch repeat superfamily protein_coding protein;(source:Araport11) AT4G34910 AT4G34910.1 P-loop containing nucleoside triphosphate hydrolases protein_coding superfamily protein;(source:Araport11) AT5G66120 AT5G66120.2 3-dehydroquinate synthase;(source:Araport11) protein_coding AT1G45110 AT1G45110.1 Tetrapyrrole (Corrin/Porphyrin) protein_coding Methylase;(source:Araport11) AT1G67420 AT1G67420.2 Zn-dependent exopeptidases superfamily protein_coding protein;(source:Araport11) AT3G62370 -
New Insights on Human Essential Genes Based on Integrated Multi
bioRxiv preprint doi: https://doi.org/10.1101/260224; this version posted February 5, 2018. 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. New insights on human essential genes based on integrated multi- omics analysis Hebing Chen1,2, Zhuo Zhang1,2, Shuai Jiang 1,2, Ruijiang Li1, Wanying Li1, Hao Li1,* and Xiaochen Bo1,* 1Beijing Institute of Radiation Medicine, Beijing 100850, China. 2 Co-first author *Correspondence: [email protected]; [email protected] Abstract Essential genes are those whose functions govern critical processes that sustain life in the organism. Comprehensive understanding of human essential genes could enable breakthroughs in biology and medicine. Recently, there has been a rapid proliferation of technologies for identifying and investigating the functions of human essential genes. Here, according to gene essentiality, we present a global analysis for comprehensively and systematically elucidating the genetic and regulatory characteristics of human essential genes. We explain why these genes are essential from the genomic, epigenomic, and proteomic perspectives, and we discuss their evolutionary and embryonic developmental properties. Importantly, we find that essential human genes can be used as markers to guide cancer treatment. We have developed an interactive web server, the Human Essential Genes Interactive Analysis Platform (HEGIAP) (http://sysomics.com/HEGIAP/), which integrates abundant analytical tools to give a global, multidimensional interpretation of gene essentiality. bioRxiv preprint doi: https://doi.org/10.1101/260224; this version posted February 5, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
The Important Role of N6-Methyladenosine RNA Modification in Non-Small Cell Lung Cancer
G C A T T A C G G C A T genes Review The Important Role of N6-methyladenosine RNA Modification in Non-Small Cell Lung Cancer Yue Cheng †, Meiqi Wang †, Junliang Zhou, Huanhuan Dong, Shuqing Wang and Hui Xu * Department of Clinical Laboratory, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin 150081, China; [email protected] (Y.C.); [email protected] (M.W.); [email protected] (J.Z.); [email protected] (H.D.); [email protected] (S.W.) * Correspondence: [email protected] † Shared first authorship. Abstract: N6-methyladenosine (m6A) is one of the most prevalent epigenetic modifications of eukaryotic RNA. The m6A modification is a dynamic and reversible process, regulated by three kinds of regulator, including m6A methyltransferases, demethylases and m6A-binding proteins, and this modification plays a vital role in many diseases, especially in cancers. Accumulated evidence has proven that this modification has a significant effect on cellular biological functions and cancer progression; however, little is known about the effects of the m6A modification in non-small cell lung cancer (NSCLC). In this review, we summarized how various m6A regulators modulate m6A RNA metabolism and demonstrated the effect of m6A modification on the progression and cellular biological functions of NSCLC. We also discussed how m6A modification affects the treatment, drug resistance, diagnosis and prognosis of NSCLC patients. 6 6 Citation: Cheng, Y.; Wang, M.; Zhou, Keywords: N6-methyladenosine (m A); methyltransferases; demethylases; m A-binding proteins; J.; Dong, H.; Wang, S.; Xu, H. The NSCLC Important Role of N6- methyladenosine RNA Modification in Non-Small Cell Lung Cancer. -
The Interplay Between Long Noncoding Rnas and Proteins of the Epigenetic Machinery in Ovarian Cancer
cancers Review The Interplay between Long Noncoding RNAs and Proteins of the Epigenetic Machinery in Ovarian Cancer Naiade Calanca 1 , Cecilie Abildgaard 2,3 , Cláudia Aparecida Rainho 1 and Silvia Regina Rogatto 3,* 1 Department of Chemical and Biological Sciences, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil; [email protected] (N.C.); [email protected] (C.A.R.) 2 Department of Oncology, University Hospital of Southern Denmark-Vejle, Institute of Regional Health Research, University of Southern Denmark, 5000 Odense, Denmark; [email protected] 3 Department of Clinical Genetics, University Hospital of Southern Denmark-Vejle, Institute of Regional Health Research, University of Southern Denmark, 5000 Odense, Denmark * Correspondence: [email protected]; Tel.: +45-7940-6669 Received: 20 August 2020; Accepted: 16 September 2020; Published: 21 September 2020 Simple Summary: Epithelial ovarian cancer is an aggressive disease associated with relapse, resistance to chemotherapy, and high mortality rates. Recent discoveries have pointed out that long noncoding RNAs (lncRNAs) are potential biomarkers or therapeutic targets in several tumor types. However, fundamental knowledge about their functions and regulation is still lacking. Here, we present the current understanding of the interplay between lncRNAs and the epigenetic machinery influencing ovarian carcinogenesis. We also provide an overview of bioinformatics tools and databases that can be exploited for lncRNAs investigations. Altogether, this information can support the development of clinical initiatives to monitor disease progression or discover new strategies for the therapeutic management of ovarian cancer. Abstract: Comprehensive large-scale sequencing and bioinformatics analyses have uncovered a myriad of cancer-associated long noncoding RNAs (lncRNAs).