Candidate Genes Associated with Delayed Neuropsychomotor Development and Seizures in a Patient with Ring Chromosome 20
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BIRC7 Sirna (Human)
For research purposes only, not for human use Product Data Sheet BIRC7 siRNA (Human) Catalog # Source Reactivity Applications CRJ2387 Synthetic H RNAi Description siRNA to inhibit BIRC7 expression using RNA interference Specificity BIRC7 siRNA (Human) is a target-specific 19-23 nt siRNA oligo duplexes designed to knock down gene expression. Form Lyophilized powder Gene Symbol BIRC7 Alternative Names KIAP; LIVIN; MLIAP; RNF50; Baculoviral IAP repeat-containing protein 7; Kidney inhibitor of apoptosis protein; KIAP; Livin; Melanoma inhibitor of apoptosis protein; ML-IAP; RING finger protein 50 Entrez Gene 79444 (Human) SwissProt Q96CA5 (Human) Purity > 97% Quality Control Oligonucleotide synthesis is monitored base by base through trityl analysis to ensure appropriate coupling efficiency. The oligo is subsequently purified by affinity-solid phase extraction. The annealed RNA duplex is further analyzed by mass spectrometry to verify the exact composition of the duplex. Each lot is compared to the previous lot by mass spectrometry to ensure maximum lot-to-lot consistency. Components We offers pre-designed sets of 3 different target-specific siRNA oligo duplexes of human BIRC7 gene. Each vial contains 5 nmol of lyophilized siRNA. The duplexes can be transfected individually or pooled together to achieve knockdown of the target gene, which is most commonly assessed by qPCR or western blot. Our siRNA oligos are also chemically modified (2’-OMe) at no extra charge for increased stability and Application key: E- ELISA, WB- Western blot, IH- Immunohistochemistry, -
Genome Wide Association Study of Response to Interval and Continuous Exercise Training: the Predict‑HIIT Study Camilla J
Williams et al. J Biomed Sci (2021) 28:37 https://doi.org/10.1186/s12929-021-00733-7 RESEARCH Open Access Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study Camilla J. Williams1†, Zhixiu Li2†, Nicholas Harvey3,4†, Rodney A. Lea4, Brendon J. Gurd5, Jacob T. Bonafglia5, Ioannis Papadimitriou6, Macsue Jacques6, Ilaria Croci1,7,20, Dorthe Stensvold7, Ulrik Wislof1,7, Jenna L. Taylor1, Trishan Gajanand1, Emily R. Cox1, Joyce S. Ramos1,8, Robert G. Fassett1, Jonathan P. Little9, Monique E. Francois9, Christopher M. Hearon Jr10, Satyam Sarma10, Sylvan L. J. E. Janssen10,11, Emeline M. Van Craenenbroeck12, Paul Beckers12, Véronique A. Cornelissen13, Erin J. Howden14, Shelley E. Keating1, Xu Yan6,15, David J. Bishop6,16, Anja Bye7,17, Larisa M. Haupt4, Lyn R. Grifths4, Kevin J. Ashton3, Matthew A. Brown18, Luciana Torquati19, Nir Eynon6 and Jef S. Coombes1* Abstract Background: Low cardiorespiratory ftness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. Methods: Participant change in objectively measured V̇O2peak from 18 diferent interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms= (SNPs) signifcantly associ- –5 ated (P < 1 10 ) with the magnitude of V̇O2peak response. -
Harnessing Gene Expression Profiles for the Identification of Ex Vivo Drug
cancers Article Harnessing Gene Expression Profiles for the Identification of Ex Vivo Drug Response Genes in Pediatric Acute Myeloid Leukemia David G.J. Cucchi 1 , Costa Bachas 1 , Marry M. van den Heuvel-Eibrink 2,3, Susan T.C.J.M. Arentsen-Peters 3, Zinia J. Kwidama 1, Gerrit J. Schuurhuis 1, Yehuda G. Assaraf 4, Valérie de Haas 3 , Gertjan J.L. Kaspers 3,5 and Jacqueline Cloos 1,* 1 Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; [email protected] (D.G.J.C.); [email protected] (C.B.); [email protected] (Z.J.K.); [email protected] (G.J.S.) 2 Department of Pediatric Oncology/Hematology, Erasmus MC–Sophia Children’s Hospital, 3015 CN Rotterdam, The Netherlands; [email protected] 3 Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; [email protected] (S.T.C.J.M.A.-P.); [email protected] (V.d.H.); [email protected] (G.J.L.K.) 4 The Fred Wyszkowski Cancer Research, Laboratory, Department of Biology, Technion-Israel Institute of Technology, 3200003 Haifa, Israel; [email protected] 5 Emma’s Children’s Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Pediatric Oncology, 1081 HV Amsterdam, The Netherlands * Correspondence: [email protected] Received: 21 April 2020; Accepted: 12 May 2020; Published: 15 May 2020 Abstract: Novel treatment strategies are of paramount importance to improve clinical outcomes in pediatric AML. Since chemotherapy is likely to remain the cornerstone of curative treatment of AML, insights in the molecular mechanisms that determine its cytotoxic effects could aid further treatment optimization. -
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. -
XIAP's Profile in Human Cancer
biomolecules Review XIAP’s Profile in Human Cancer Huailu Tu and Max Costa * Department of Environmental Medicine, Grossman School of Medicine, New York University, New York, NY 10010, USA; [email protected] * Correspondence: [email protected] Received: 16 September 2020; Accepted: 25 October 2020; Published: 29 October 2020 Abstract: XIAP, the X-linked inhibitor of apoptosis protein, regulates cell death signaling pathways through binding and inhibiting caspases. Mounting experimental research associated with XIAP has shown it to be a master regulator of cell death not only in apoptosis, but also in autophagy and necroptosis. As a vital decider on cell survival, XIAP is involved in the regulation of cancer initiation, promotion and progression. XIAP up-regulation occurs in many human diseases, resulting in a series of undesired effects such as raising the cellular tolerance to genetic lesions, inflammation and cytotoxicity. Hence, anti-tumor drugs targeting XIAP have become an important focus for cancer therapy research. RNA–XIAP interaction is a focus, which has enriched the general profile of XIAP regulation in human cancer. In this review, the basic functions of XIAP, its regulatory role in cancer, anti-XIAP drugs and recent findings about RNA–XIAP interactions are discussed. Keywords: XIAP; apoptosis; cancer; therapeutics; non-coding RNA 1. Introduction X-linked inhibitor of apoptosis protein (XIAP), also known as inhibitor of apoptosis protein 3 (IAP3), baculoviral IAP repeat-containing protein 4 (BIRC4), and human IAPs like protein (hILP), belongs to IAP family which was discovered in insect baculovirus [1]. Eight different IAPs have been isolated from human tissues: NAIP (BIRC1), BIRC2 (cIAP1), BIRC3 (cIAP2), XIAP (BIRC4), BIRC5 (survivin), BIRC6 (apollon), BIRC7 (livin) and BIRC8 [2]. -
Integrative Survival-Based Molecular Profiling of Human Pancreatic Cancer
Published OnlineFirst January 18, 2012; DOI: 10.1158/1078-0432.CCR-11-1539 Clinical Cancer Imaging, Diagnosis, Prognosis Research Integrative Survival-Based Molecular Profiling of Human Pancreatic Cancer Timothy R. Donahue1,2,3,4, Linh M. Tran2,3, Reginald Hill2,3, Yunfeng Li2,3, Anne Kovochich5, Joseph H. Calvopina3, Sanjeet G. Patel1, Nanping Wu2,3, Antreas Hindoyan2,3, James J. Farrell6, Xinmin Li5, David W. Dawson4,5, and Hong Wu2,3,4,7 Abstract Purpose: To carry out an integrative profile of human pancreatic ductal adenocarcinoma (PDAC) to identify prognosis-significant genes and their related pathways. Experimental Design: A concordant survival-based whole genome in silico array analysis of DNA copy number, and mRNA and miRNA expression in 25 early-stage PDAC was carried out. A novel composite score simultaneously integrated gene expression with regulatory mechanisms to identify the signature genes with the most levels of prognosis-significant evidence. The predominant signaling pathways were determined via a pathway-based approach. Independent patient cohorts (n ¼ 148 and 42) were then used as in vitro validation of the array findings. Results: The composite score identified 171 genes in which expressions were able to define two prognosis subgroups (P ¼ 3.8e-5). Eighty-eight percent (151 of 171) of the genes were regulated by prognosis-significant miRNAs. The phosphoinositide 3-kinase/AKT pathway and SRC signaling were densely populated by prognosis-significant genes and driven by genomic amplification of SRC and miRNA regulation of p85a and CBL. On tissue microarray validation (n ¼ 148), p85a protein expression was associated with improved survival for all patients (P ¼ 0.02), and activated P-SRC (Y418) was associated shorter survival for patients with low-grade histology tumors (P ¼ 0.04). -
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 -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Elucidating the Host Interactome of EV-A71 2C Reveals Viral Dependency Factors
fmicb-10-00636 March 29, 2019 Time: 18:51 # 1 ORIGINAL RESEARCH published: 02 April 2019 doi: 10.3389/fmicb.2019.00636 Elucidating the Host Interactome of EV-A71 2C Reveals Viral Dependency Factors Ye Li1†, Xia Jian1†, Peiqi Yin1, Guofeng Zhu2 and Leiliang Zhang3* 1 NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, 2 National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, and Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 3 Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, China Viral protein 2C plays a critical role in EV-A71 replication. The discovery of 2C binding proteins will likely provide potential targets to treat EV-A71 infection. Here, we provide a global proteomic analysis of the human proteins that interact with the EV-A71 2C protein. TRIM4, exportin2, and ARFGAP1 were validated as 2C binding partners. Further functional studies revealed that TRIM4, exportin2, and ARFGAP1 were novel host Edited by: dependency factors for EV-A71. Moreover, enteroviruses’ 2C family proteins interacted Ju-Tao Guo, with exportin2 and ARFGAP1. In conclusion, our study provides a cellular interactome Baruch S. Blumberg Institute, United States of the EV-A71 2C and identifies the proviral roles of TRIM4, exportin2, and ARFGAP1 in Reviewed by: EV-A71 infection. Ping Zhao, Second Military Medical University, Keywords: EV-A71, 2C, TRIM4, exportin2, ARFGAP1 China Ke Lan, State Key Laboratory of Virology, INTRODUCTION Wuhan University, China *Correspondence: Enterovirus A71 (EV-A71) is one of the major pathogens that leads to hand, foot and mouth disease Leiliang Zhang (HFMD) in young children and infants, and has become a serious threat to global public health [email protected] (Baggen et al., 2018). -
Methylome and Transcriptome Pro Les in Three Yak Tissues Revealed That
Methylome and transcriptome proles in three yak tissues revealed that DNA methylation and transcription factor ZGPAT co-regulate milk production Jinwei Xin State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement Zhixin Chai Southwest Minzu University Chengfu Zhang State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement Qiang Zhang State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement Yong Zhu State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement Hanwen Cao State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement Yangji Cidan State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement Xiaoying Chen State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement Hui Jiang State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement Jincheng Zhong Southwest minzu university Qiumei Ji ( [email protected] ) State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement Research article Keywords: milk production, DNA methylation, transcription factor, epigenetic regulation Posted Date: September 11th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-20775/v3 Page 1/25 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published on October 20th, 2020. See the published version at https://doi.org/10.1186/s12864-020-07151-3. Page 2/25 Abstract Background Domestic yaks play an indispensable role in sustaining the livelihood of Tibetans and other ethnic groups on the Qinghai-Tibetan Plateau (QTP), by providing milk and meat. -
Co-Localization of DNA I-Motif-Forming Sequences and 5-Hydroxymethyl-Cytosines in Human Embryonic Stem Cells
University of Mississippi eGrove Faculty and Student Publications Chemistry and Biochemistry 10-8-2019 Co-Localization of DNA i-Motif-Forming Sequences and 5-Hydroxymethyl-cytosines in Human Embryonic Stem Cells Yogini P. Bhavsar-Jog University of Mississippi Eric van Dornshuld Mississippi State University Tracy A. Brooks Binghamton University State University of New York Gregory S. Tschumper University of Mississippi Randy M. Wadkins University of Mississippi Follow this and additional works at: https://egrove.olemiss.edu/chem_facpubs Recommended Citation Bhavsar-Jog, Y. P., Van Dornshuld, E., Brooks, T. A., Tschumper, G. S., & Wadkins, R. M. (2019). Co- Localization of DNA i-Motif-Forming Sequences and 5-Hydroxymethyl-cytosines in Human Embryonic Stem Cells. Molecules, 24(19), 3619. https://doi.org/10.3390/molecules24193619 This Article is brought to you for free and open access by the Chemistry and Biochemistry at eGrove. It has been accepted for inclusion in Faculty and Student Publications by an authorized administrator of eGrove. For more information, please contact [email protected]. molecules Article Co-Localization of DNA i-Motif-Forming Sequences and 5-Hydroxymethyl-cytosines in Human Embryonic Stem Cells Yogini P. Bhavsar-Jog 1, Eric Van Dornshuld 2, Tracy A. Brooks 3, Gregory S. Tschumper 1 and Randy M. Wadkins 1,* 1 Department of Chemistry and Biochemistry, University of Mississippi, University, MS 38677, USA; [email protected] (Y.P.B.-J.); [email protected] (G.S.T.) 2 Department of Chemistry, Mississippi State University, Mississippi State, MS 39762, USA; [email protected] 3 Department of Pharmaceutical Sciences, Binghamton University, Binghamton, NY 13902, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-662-915-7732; Fax: +1-662-915-7300 Received: 22 August 2019; Accepted: 4 October 2019; Published: 8 October 2019 Abstract: G-quadruplexes (G4s) and i-motifs (iMs) are tetraplex DNA structures. -
SUPPLEMENTARY APPENDIX Inflammation Regulates Long Non-Coding RNA-PTTG1-1:1 in Myeloid Leukemia
SUPPLEMENTARY APPENDIX Inflammation regulates long non-coding RNA-PTTG1-1:1 in myeloid leukemia Sébastien Chateauvieux, 1,2 Anthoula Gaigneaux, 1° Déborah Gérard, 1 Marion Orsini, 1 Franck Morceau, 1 Barbora Orlikova-Boyer, 1,2 Thomas Farge, 3,4 Christian Récher, 3,4,5 Jean-Emmanuel Sarry, 3,4 Mario Dicato 1 and Marc Diederich 2 °Current address: University of Luxembourg, Faculty of Science, Technology and Communication, Life Science Research Unit, Belvaux, Luxemburg. 1Laboratoire de Biologie Moléculaire et Cellulaire du Cancer, Hôpital Kirchberg, Luxembourg, Luxembourg; 2College of Pharmacy, Seoul National University, Gwanak-gu, Seoul, Korea; 3Cancer Research Center of Toulouse, UMR 1037 INSERM/ Université Toulouse III-Paul Sabatier, Toulouse, France; 4Université Toulouse III Paul Sabatier, Toulouse, France and 5Service d’Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopôle, Toulouse, France Correspondence: MARC DIEDERICH - [email protected] doi:10.3324/haematol.2019.217281 Supplementary data Inflammation regulates long non-coding RNA-PTTG1-1:1 in myeloid leukemia Sébastien Chateauvieux1,2, Anthoula Gaigneaux1*, Déborah Gérard1, Marion Orsini1, Franck Morceau1, Barbora Orlikova-Boyer1,2, Thomas Farge3,4, Christian Récher3,4,5, Jean-Emmanuel Sarry3,4, Mario Dicato1 and Marc Diederich2 1 Laboratoire de Biologie Moléculaire et Cellulaire du Cancer, Hôpital Kirchberg, 9, rue Edward Steichen, 2540 Luxembourg, Luxemburg; 2 College of Pharmacy, Seoul National University, 1 Gwanak-ro,