Discovery and Prioritization of Somatic Mutations in Diffuse Large B-Cell Lymphoma (DLBCL) by Whole-Exome Sequencing
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Cell Line P53 Mutation Type UM
A Cell line p53 mutation Type UM-SCC 1 wt UM-SCC5 Exon 5, 157 GTC --> TTC Missense mutation by transversion (Valine --> Phenylalanine UM-SCC6 wt UM-SCC9 wt UM-SCC11A wt UM-SCC11B Exon 7, 242 TGC --> TCC Missense mutation by transversion (Cysteine --> Serine) UM-SCC22A Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC22B Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC38 Exon 5, 132 AAG --> AAT Missense mutation by transversion (Lysine --> Asparagine) UM-SCC46 Exon 8, 278 CCT --> CGT Missense mutation by transversion (Proline --> Alanine) B 1 Supplementary Methods Cell Lines and Cell Culture A panel of ten established HNSCC cell lines from the University of Michigan series (UM-SCC) was obtained from Dr. T. E. Carey at the University of Michigan, Ann Arbor, MI. The UM-SCC cell lines were derived from eight patients with SCC of the upper aerodigestive tract (supplemental Table 1). Patient age at tumor diagnosis ranged from 37 to 72 years. The cell lines selected were obtained from patients with stage I-IV tumors, distributed among oral, pharyngeal and laryngeal sites. All the patients had aggressive disease, with early recurrence and death within two years of therapy. Cell lines established from single isolates of a patient specimen are designated by a numeric designation, and where isolates from two time points or anatomical sites were obtained, the designation includes an alphabetical suffix (i.e., "A" or "B"). The cell lines were maintained in Eagle's minimal essential media supplemented with 10% fetal bovine serum and penicillin/streptomycin. -
Environmental Influences on Endothelial Gene Expression
ENDOTHELIAL CELL GENE EXPRESSION John Matthew Jeff Herbert Supervisors: Prof. Roy Bicknell and Dr. Victoria Heath PhD thesis University of Birmingham August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Tumour angiogenesis is a vital process in the pathology of tumour development and metastasis. Targeting markers of tumour endothelium provide a means of targeted destruction of a tumours oxygen and nutrient supply via destruction of tumour vasculature, which in turn ultimately leads to beneficial consequences to patients. Although current anti -angiogenic and vascular targeting strategies help patients, more potently in combination with chemo therapy, there is still a need for more tumour endothelial marker discoveries as current treatments have cardiovascular and other side effects. For the first time, the analyses of in-vivo biotinylation of an embryonic system is performed to obtain putative vascular targets. Also for the first time, deep sequencing is applied to freshly isolated tumour and normal endothelial cells from lung, colon and bladder tissues for the identification of pan-vascular-targets. Integration of the proteomic, deep sequencing, public cDNA libraries and microarrays, delivers 5,892 putative vascular targets to the science community. -
DNA Methylation Changes in Down Syndrome Derived Neural Ipscs Uncover Co-Dysregulation of ZNF and HOX3 Families of Transcription
Laan et al. Clinical Epigenetics (2020) 12:9 https://doi.org/10.1186/s13148-019-0803-1 RESEARCH Open Access DNA methylation changes in Down syndrome derived neural iPSCs uncover co- dysregulation of ZNF and HOX3 families of transcription factors Loora Laan1†, Joakim Klar1†, Maria Sobol1, Jan Hoeber1, Mansoureh Shahsavani2, Malin Kele2, Ambrin Fatima1, Muhammad Zakaria1, Göran Annerén1, Anna Falk2, Jens Schuster1 and Niklas Dahl1* Abstract Background: Down syndrome (DS) is characterized by neurodevelopmental abnormalities caused by partial or complete trisomy of human chromosome 21 (T21). Analysis of Down syndrome brain specimens has shown global epigenetic and transcriptional changes but their interplay during early neurogenesis remains largely unknown. We differentiated induced pluripotent stem cells (iPSCs) established from two DS patients with complete T21 and matched euploid donors into two distinct neural stages corresponding to early- and mid-gestational ages. Results: Using the Illumina Infinium 450K array, we assessed the DNA methylation pattern of known CpG regions and promoters across the genome in trisomic neural iPSC derivatives, and we identified a total of 500 stably and differentially methylated CpGs that were annotated to CpG islands of 151 genes. The genes were enriched within the DNA binding category, uncovering 37 factors of importance for transcriptional regulation and chromatin structure. In particular, we observed regional epigenetic changes of the transcription factor genes ZNF69, ZNF700 and ZNF763 as well as the HOXA3, HOXB3 and HOXD3 genes. A similar clustering of differential methylation was found in the CpG islands of the HIST1 genes suggesting effects on chromatin remodeling. Conclusions: The study shows that early established differential methylation in neural iPSC derivatives with T21 are associated with a set of genes relevant for DS brain development, providing a novel framework for further studies on epigenetic changes and transcriptional dysregulation during T21 neurogenesis. -
Plenary and Platform Abstracts
American Society of Human Genetics 68th Annual Meeting PLENARY AND PLATFORM ABSTRACTS Abstract #'s Tuesday, October 16, 5:30-6:50 pm: 4. Featured Plenary Abstract Session I Hall C #1-#4 Wednesday, October 17, 9:00-10:00 am, Concurrent Platform Session A: 6. Variant Insights from Large Population Datasets Ballroom 20A #5-#8 7. GWAS in Combined Cancer Phenotypes Ballroom 20BC #9-#12 8. Genome-wide Epigenomics and Non-coding Variants Ballroom 20D #13-#16 9. Clonal Mosaicism in Cancer, Alzheimer's Disease, and Healthy Room 6A #17-#20 Tissue 10. Genetics of Behavioral Traits and Diseases Room 6B #21-#24 11. New Frontiers in Computational Genomics Room 6C #25-#28 12. Bone and Muscle: Identifying Causal Genes Room 6D #29-#32 13. Precision Medicine Initiatives: Outcomes and Lessons Learned Room 6E #33-#36 14. Environmental Exposures in Human Traits Room 6F #37-#40 Wednesday, October 17, 4:15-5:45 pm, Concurrent Platform Session B: 24. Variant Interpretation Practices and Resources Ballroom 20A #41-#46 25. Integrated Variant Analysis in Cancer Genomics Ballroom 20BC #47-#52 26. Gene Discovery and Functional Models of Neurological Disorders Ballroom 20D #53-#58 27. Whole Exome and Whole Genome Associations Room 6A #59-#64 28. Sequencing-based Diagnostics for Newborns and Infants Room 6B #65-#70 29. Omics Studies in Alzheimer's Disease Room 6C #71-#76 30. Cardiac, Valvular, and Vascular Disorders Room 6D #77-#82 31. Natural Selection and Human Phenotypes Room 6E #83-#88 32. Genetics of Cardiometabolic Traits Room 6F #89-#94 Wednesday, October 17, 6:00-7:00 pm, Concurrent Platform Session C: 33. -
High Expression of an Unknown Long Noncoding RNA RP11-290L1.3 from GDM Macrosomia and Its Effect on Preadipocyte Differentiation
ID: 20-0584 10 2 Y Lin, Y Zhand, L Xu et al. RP11 enhanced preadipocyte 10:2 191–204 differentiation RESEARCH High expression of an unknown long noncoding RNA RP11-290L1.3 from GDM macrosomia and its effect on preadipocyte differentiation Yu Lin1,*, Yingying Zhang1,*, Lei Xu2,*, Wei Long1, Chunjian Shan1, Hongjuan Ding1, Lianghui You1, Chun Zhao1 and Zhonghua Shi1 1State Key Laboratory of Reproductive Medicine, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, People’s Republic of China 2Maternal and Child Health Care Hospital of Dongchangfu District, Liaocheng, People’s Republic of China Correspondence should be addressed to C Zhao or Z Shi: [email protected] or [email protected] *(Y Lin, Y Zhang and L Xu contributed equally to this work) Abstract Aims: Gestational diabetes mellitus (GDM)-induced macrosomia is predominantly Key Words characterized by fat accumulation, which is closely related to adipocyte differentiation. f long noncoding RNA An unknown long noncoding RNA RP11-290L1.3, referred to as RP11, was identified to f GDM be dramatically upregulated in the umbilical cord blood of women with GDM-induced f preadipocyte macrosomia in our previous study. We conducted this study to identify the function of differentiation RP11 in GDM-induced macrosomia. f macrosomia Methods: The effects of RP11 gain- and loss-of-function on HPA-v (human preadipocytes- f fat accumulation visceral) adipogenesis were determined with lentivirus mediated cell transduction. The mRNA and protein expression levels of adipogenesis makers were evaluated by qPCR/Western blot. Then, we performed the microarray and pathway analysis to explore the possible mechanisms by which RP11 regulates adipogenesis. -
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 -
Histone-Related Genes Are Hypermethylated in Lung Cancer
Published OnlineFirst October 1, 2019; DOI: 10.1158/0008-5472.CAN-19-1019 Cancer Genome and Epigenome Research Histone-Related Genes Are Hypermethylated in Lung Cancer and Hypermethylated HIST1H4F Could Serve as a Pan-Cancer Biomarker Shihua Dong1,Wei Li1, Lin Wang2, Jie Hu3,Yuanlin Song3, Baolong Zhang1, Xiaoguang Ren1, Shimeng Ji3, Jin Li1, Peng Xu1, Ying Liang1, Gang Chen4, Jia-Tao Lou2, and Wenqiang Yu1 Abstract Lung cancer is the leading cause of cancer-related deaths lated in all 17 tumor types from TCGA datasets (n ¼ 7,344), worldwide. Cytologic examination is the current "gold stan- which was further validated in nine different types of cancer dard" for lung cancer diagnosis, however, this has low sensi- (n ¼ 243). These results demonstrate that HIST1H4F can tivity. Here, we identified a typical methylation signature of function as a universal-cancer-only methylation (UCOM) histone genes in lung cancer by whole-genome DNA methyl- marker, which may aid in understanding general tumorigen- ation analysis, which was validated by The Cancer Genome esis and improve screening for early cancer diagnosis. Atlas (TCGA) lung cancer cohort (n ¼ 907) and was further confirmed in 265 bronchoalveolar lavage fluid samples with Significance: These findings identify a new biomarker for specificity and sensitivity of 96.7% and 87.0%, respectively. cancer detection and show that hypermethylation of histone- More importantly, HIST1H4F was universally hypermethy- related genes seems to persist across cancers. Introduction to its low specificity, LDCT is far from satisfactory as a screening tool for clinical application, similar to other currently used cancer Lung cancer is one of the most common malignant tumors and biomarkers, such as carcinoembryonic antigen (CEA), neuron- the leading cause of cancer-related deaths worldwide (1, 2). -
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. -
Brain Region-Dependent Gene Networks Associated with Selective Breeding for Increased Voluntary Wheel-Running Behavior
UC Riverside UC Riverside Previously Published Works Title Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior. Permalink https://escholarship.org/uc/item/8c49g8fd Journal PloS one, 13(8) ISSN 1932-6203 Authors Zhang, Pan Rhodes, Justin S Garland, Theodore et al. Publication Date 2018 DOI 10.1371/journal.pone.0201773 Peer reviewed eScholarship.org Powered by the California Digital Library University of California RESEARCH ARTICLE Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior Pan Zhang1,2, Justin S. Rhodes3,4, Theodore Garland, Jr.5, Sam D. Perez3, Bruce R. Southey2, Sandra L. Rodriguez-Zas2,6,7* 1 Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 2 Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United a1111111111 States of America, 3 Beckman Institute for Advanced Science and Technology, Urbana, IL, United States of a1111111111 America, 4 Center for Nutrition, Learning and Memory, University of Illinois at Urbana-Champaign, Urbana, a1111111111 IL, United States of America, 5 Department of Evolution, Ecology, and Organismal Biology, University of a1111111111 California, Riverside, CA, United States of America, 6 Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 7 Carle Woese Institute for Genomic Biology, a1111111111 University of Illinois at Urbana-Champaign, Urbana, IL, United States of America * [email protected] OPEN ACCESS Abstract Citation: Zhang P, Rhodes JS, Garland T, Jr., Perez SD, Southey BR, Rodriguez-Zas SL (2018) Brain Mouse lines selectively bred for high voluntary wheel-running behavior are helpful models region-dependent gene networks associated with for uncovering gene networks associated with increased motivation for physical activity and selective breeding for increased voluntary wheel- other reward-dependent behaviors. -
WO 2017/214553 Al 14 December 2017 (14.12.2017) 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 2017/214553 Al 14 December 2017 (14.12.2017) W !P O PCT (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, C12N 15/11 (2006.01) C12N 15/113 (2010.01) 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, (21) International Application Number: HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, PCT/US20 17/036829 KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (22) International Filing Date: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 09 June 2017 (09.06.2017) 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, (25) Filing Language: English TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (26) Publication Language: English (84) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of regional protection available): ARIPO (BW, GH, 62/347,737 09 June 2016 (09.06.2016) US GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, 62/408,639 14 October 2016 (14.10.2016) US UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/433,770 13 December 2016 (13.12.2016) US 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, (71) Applicant: THE GENERAL HOSPITAL CORPO¬ MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, RATION [US/US]; 55 Fruit Street, Boston, Massachusetts TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, 021 14 (US). -
Ultra-Deep Sequencing Reveals the Mutational Landscape of Classical Hodgkin Lymphoma
medRxiv preprint doi: https://doi.org/10.1101/2021.06.25.21258374; this version posted July 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Ultra-Deep Sequencing Reveals the Mutational Landscape of Classical Hodgkin Lymphoma Felicia Gomez1,2,5, Matthew Mosior2, Joshua McMichael2, Zachary L. Skidmore2, Eric J. Duncavage3, Christopher A. Miller1,2, Haley J. Abel1,2, Yi-Shan Li3, Kilannin Krysiak2,3,5, David A. Russler-Germain1, Marcus P. Watkins1, Cody Ramirez2, Alina Schmidt2, Fernanda Martins Rodrigues2, Lee Trani2, Ajay Khanna1, Julia A. Wagner1, Robert S. Fulton2, Catrina Fronick2, Michelle O’Laughlin2, Timothy Schappe,1 Amanda Cashen1, Neha Mehta-Shah1, Brad S. Kahl1, Jason Walker2, Nancy L. Bartlett1, Malachi Griffith1,2,4,5*, Todd A. Fehniger1,5*, Obi L. Griffith1,2,4,5* 1. Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, MO 2. McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, MO. 3. Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO. 4. Department of Genetics, Washington University School of Medicine, St Louis, MO. 5. Siteman Cancer Center, Washington University School of Medicine, St Louis, MO. *Correspondence: Obi L. Griffith ([email protected]), Todd A Fehniger ([email protected]), and Malachi Griffith ([email protected]) Running title: Ultra Deep cHL sequencing Manuscript type: Article Abstract word count: 142 Text word count: 4,543 Figure/Table count: 7 Reference count: 76 1 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. -
Integrative Clinical Sequencing in the Management of Refractory Or
Supplementary Online Content Mody RJ, Wu Y-M, Lonigro RJ, et al. Integrative Clinical Sequencing in the Management of Children and Young Adults With Refractory or Relapsed CancerJAMA. doi:10.1001/jama.2015.10080. eAppendix. Supplementary appendix This supplementary material has been provided by the authors to give readers additional information about their work. © 2015 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 09/29/2021 SUPPLEMENTARY APPENDIX Use of Integrative Clinical Sequencing in the Management of Pediatric Cancer Patients *#Rajen J. Mody, M.B.B.S, M.S., *Yi-Mi Wu, Ph.D., Robert J. Lonigro, M.S., Xuhong Cao, M.S., Sameek Roychowdhury, M.D., Ph.D., Pankaj Vats, M.S., Kevin M. Frank, M.S., John R. Prensner, M.D., Ph.D., Irfan Asangani, Ph.D., Nallasivam Palanisamy Ph.D. , Raja M. Rabah, M.D., Jonathan R. Dillman, M.D., Laxmi Priya Kunju, M.D., Jessica Everett, M.S., Victoria M. Raymond, M.S., Yu Ning, M.S., Fengyun Su, Ph.D., Rui Wang, M.S., Elena M. Stoffel, M.D., Jeffrey W. Innis, M.D., Ph.D., J. Scott Roberts, Ph.D., Patricia L. Robertson, M.D., Gregory Yanik, M.D., Aghiad Chamdin, M.D., James A. Connelly, M.D., Sung Choi, M.D., Andrew C. Harris, M.D., Carrie Kitko, M.D., Rama Jasty Rao, M.D., John E. Levine, M.D., Valerie P. Castle, M.D., Raymond J. Hutchinson, M.D., Moshe Talpaz, M.D., ^Dan R. Robinson, Ph.D., and ^#Arul M. Chinnaiyan, M.D., Ph.D. CORRESPONDING AUTHOR (S): # Arul M.