Investigating Common Pathogenic Mechanisms Between Homo Sapiens and Different Strains of Candida Albicans for Drug Design
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University of California, San Diego
UNIVERSITY OF CALIFORNIA, SAN DIEGO The post-terminal differentiation fate of RNAs revealed by next-generation sequencing A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biomedical Sciences by Gloria Kuo Lefkowitz Committee in Charge: Professor Benjamin D. Yu, Chair Professor Richard Gallo Professor Bruce A. Hamilton Professor Miles F. Wilkinson Professor Eugene Yeo 2012 Copyright Gloria Kuo Lefkowitz, 2012 All rights reserved. The Dissertation of Gloria Kuo Lefkowitz is approved, and it is acceptable in quality and form for publication on microfilm and electronically: __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ Chair University of California, San Diego 2012 iii DEDICATION Ma and Ba, for your early indulgence and support. Matt and James, for choosing more practical callings. Roy, my love, for patiently sharing the ups and downs of this journey. iv EPIGRAPH It is foolish to tear one's hair in grief, as though sorrow would be made less by baldness. ~Cicero v TABLE OF CONTENTS Signature Page .............................................................................................................. iii Dedication .................................................................................................................... -
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. -
Applying Expression Profile Similarity for Discovery of Patient-Specific
bioRxiv preprint doi: https://doi.org/10.1101/172015; this version posted September 17, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Applying expression profile similarity for discovery of patient-specific functional mutations Guofeng Meng Partner Institute of Computational Biology, Yueyang 333, Shanghai, China email: [email protected] Abstract The progress of cancer genome sequencing projects yields unprecedented information of mutations for numerous patients. However, the complexity of mutation profiles of patients hinders the further understanding of mechanisms of oncogenesis. One basic question is how to uncover mutations with functional impacts. In this work, we introduce a computational method to predict functional somatic mutations for each of patient by integrating mutation recurrence with similarity of expression profiles of patients. With this method, the functional mutations are determined by checking the mutation enrichment among a group of patients with similar expression profiles. We applied this method to three cancer types and identified the functional mutations. Comparison of the predictions for three cancer types suggested that most of the functional mutations were cancer-type-specific with one exception to p53. By checking prediction results, we found that our method effectively filtered non-functional mutations resulting from large protein sizes. In addition, this methods can also perform functional annotation to each patient to describe their association with signalling pathways or biological processes. In breast cancer, we predicted "cell adhesion" and other mutated gene associated terms to be significantly enriched among patients. -
Evaluation of Copy-Number Variants As Modifiers of Breast and Ovarian
European Journal of Human Genetics (2017) 25, 432–438 Official journal of The European Society of Human Genetics www.nature.com/ejhg ARTICLE Corrected: Correction Evaluation of copy-number variants as modifiers of breast and ovarian cancer risk for BRCA1 pathogenic variant carriers Logan C Walker1,31, Louise Marquart2,31, John F Pearson3, George AR Wiggins1, Tracy A O'Mara4, Michael T Parsons4, BCFR5, Daniel Barrowdale6, Lesley McGuffog6, Joe Dennis6, Javier Benitez7, Thomas P Slavin8, Paolo Radice9, Debra Frost6, EMBRACE6, Andrew K Godwin10, Alfons Meindl11, Rita Katharina Schmutzler12, GEMO Study Collaborators13,14, Claudine Isaacs15, Beth N Peshkin15, Trinidad Caldes16, Frans BL Hogervorst17, HEBON18, Conxi Lazaro19, Anna Jakubowska20, Marco Montagna21, KConFab Investigators22,23, Xiaoqing Chen4, Kenneth Offit24, Peter J Hulick25, Irene L Andrulis26, Annika Lindblom27, Robert L Nussbaum28, Katherine L Nathanson29, Georgia Chenevix-Trench4, Antonis C Antoniou6, Fergus J Couch30 and Amanda B Spurdle4 Genome-wide studies of patients carrying pathogenic variants (mutations) in BRCA1 or BRCA2 have reported strong associations between single-nucleotide polymorphisms (SNPs) and cancer risk. To conduct the first genome-wide association analysis of copy- number variants (CNVs) with breast or ovarian cancer risk in a cohort of 2500 BRCA1 pathogenic variant carriers, CNV discovery was performed using multiple calling algorithms and Illumina 610k SNP array data from a previously published genome-wide association study. Our analysis, which focused on functionally disruptive genomic deletions overlapping gene regions, identified a number of loci associated with risk of breast or ovarian cancer for BRCA1 pathogenic variant carriers. Despite only including putative deletions called by at least two or more algorithms, detection of selected CNVs by ancillary molecular technologies only confirmed 40% of predicted common (41% allele frequency) variants. -
Two Susceptibility Loci Identified for Prostate Cancer Aggressiveness
Two Susceptibility Loci Identified for Prostate Cancer Aggressiveness The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Berndt, S. I., Z. Wang, M. Yeager, M. C. Alavanja, D. Albanes, L. Amundadottir, G. Andriole, et al. 2015. “Two Susceptibility Loci Identified for Prostate Cancer Aggressiveness.” Nature communications 6 (1): 6889. doi:10.1038/ncomms7889. http:// dx.doi.org/10.1038/ncomms7889. Published Version doi:10.1038/ncomms7889 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:23845382 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author Manuscript Author ManuscriptNat Commun Author Manuscript. Author manuscript; Author Manuscript available in PMC 2015 November 05. Published in final edited form as: Nat Commun. ; 6: 6889. doi:10.1038/ncomms7889. Two Susceptibility Loci Identified for Prostate Cancer Aggressiveness Sonja I. Berndt1,*, Zhaoming Wang1,2,*, Meredith Yeager1,2, Michael C. Alavanja1, Demetrius Albanes1, Laufey Amundadottir1, Gerald Andriole3, Laura Beane Freeman1, Daniele Campa4, Geraldine Cancel-Tassin5, Federico Canzian6, Jean-Nicolas Cornu1, Olivier Cussenot5, W. Ryan Diver7, Susan M. Gapstur7, Henrik Grönberg8, Christopher A. Haiman9, Brian Henderson9, Amy Hutchinson2, David J. Hunter10, Timothy J. Key11, Suzanne Kolb12, Stella Koutros1, Peter Kraft10, Loic Le Marchand13, Sara Lindström10, Mitchell J. Machiela1, Elaine A. Ostrander14, Elio Riboli15, Fred Schumacher9, Afshan Siddiq16, Janet L. Stanford12,17, Victoria L. -
Transcriptome-Wide Profiling of Multiple RNA Modifications Simultaneously at Single-Base Resolution,” by Vahid Khoddami, Archana Yerra, Timothy L
Correction BIOCHEMISTRY, CHEMISTRY Correction for “Transcriptome-wide profiling of multiple RNA modifications simultaneously at single-base resolution,” by Vahid Khoddami, Archana Yerra, Timothy L. Mosbruger, Aaron M. Fleming, Cynthia J. Burrows, and Bradley R. Cairns, which was first published March 14, 2019; 10.1073/pnas.1817334116 (Proc Natl Acad Sci USA 116:6784–6789). The authors note that the following statement should be added to the Acknowledgments: “This work was also supported by Grant R01 GM093099 from the NIH/National Institute of General Medical Sciences (to C.J.B.).” Published under the PNAS license. Published online April 22, 2019. www.pnas.org/cgi/doi/10.1073/pnas.1905628116 9136 | PNAS | April 30, 2019 | vol. 116 | no. 18 www.pnas.org Downloaded by guest on October 2, 2021 Transcriptome-wide profiling of multiple RNA modifications simultaneously at single-base resolution Vahid Khoddamia,b,c,1,2, Archana Yerrab,c,1, Timothy L. Mosbrugerd, Aaron M. Fleminge, Cynthia J. Burrowse,3, and Bradley R. Cairnsb,c,3 aDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115; bHoward Hughes Medical Institute, University of Utah School of Medicine, Salt Lake City, UT 84112; cDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84112; dBioinformatics Shared Resource, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84112; and eDepartment of Chemistry, University of Utah, Salt Lake City, UT 84112 Contributed by Cynthia J. Burrows, January 25, 2019 (sent for review October 9, 2018; reviewed by Juan D. Alfonzo, Thomas Carell, and Peter C. -
Apoptotic Cells Inflammasome Activity During the Uptake of Macrophage
Downloaded from http://www.jimmunol.org/ by guest on September 29, 2021 is online at: average * The Journal of Immunology , 26 of which you can access for free at: 2012; 188:5682-5693; Prepublished online 20 from submission to initial decision 4 weeks from acceptance to publication April 2012; doi: 10.4049/jimmunol.1103760 http://www.jimmunol.org/content/188/11/5682 Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E. Benoit, Elizabeth V. Clarke, Pedro Morgado, Deborah A. Fraser and Andrea J. Tenner J Immunol cites 56 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription http://www.jimmunol.org/content/suppl/2012/04/20/jimmunol.110376 0.DC1 This article http://www.jimmunol.org/content/188/11/5682.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 29, 2021. The Journal of Immunology Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E. -
Improving the Detection of Genomic Rearrangements in Short Read Sequencing Data
Improving the detection of genomic rearrangements in short read sequencing data Daniel Lee Cameron orcid.org/0000-0002-0951-7116 Doctor of Philosophy July 2017 Department of Medical Biology, University of Melbourne Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research Submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy Produced on archival quality paper Page i Abstract Genomic rearrangements, also known as structural variants, play a significant role in the development of cancer and in genetic disorders. With the bulk of genetic studies focusing on single nucleotide variants and small insertions and deletions, structural variants are often overlooked. In part this is due to the increased complexity of analysis required, but is also due to the increased difficulty of detection. The identification of genomic rearrangements using massively parallel sequencing remains a major challenge. To address this, I have developed the Genome Rearrangement Identification Software Suite (GRIDSS). In this thesis, I show that high sensitivity and specificity can be achieved by performing reference-guided assembly prior to variant calling and incorporating the results of this assembly into the variant calling process itself. Utilising a novel genome-wide break-end assembly approach, GRIDSS halves the false discovery rate compared to other recent methods on human cell line data. A comparison of assembly approaches reveals that incorporating read alignment information into a positional de Bruijn graph improves assembly quality compared to traditional de Bruijn graph assembly. To characterise the performance of structural variant calling software, I have performed the most comprehensive benchmarking of structural variant calling software to date. -
Endosomal PI(3)P Regulation by the COMMD/CCDC22/CCDC93
ARTICLE https://doi.org/10.1038/s41467-019-12221-6 OPEN Endosomal PI(3)P regulation by the COMMD/ CCDC22/CCDC93 (CCC) complex controls membrane protein recycling Amika Singla 1,5, Alina Fedoseienko2,5, Sai S.P. Giridharan3, Brittany L. Overlee2, Adam Lopez1, Da Jia 4, Jie Song1, Kayci Huff-Hardy1, Lois Weisman3, Ezra Burstein 1,6 & Daniel D. Billadeau2,6 1234567890():,; Protein recycling through the endolysosomal system relies on molecular assemblies that interact with cargo proteins, membranes, and effector molecules. Among them, the COMMD/CCDC22/CCDC93 (CCC) complex plays a critical role in recycling events. While CCC is closely associated with retriever, a cargo recognition complex, its mechanism of action remains unexplained. Herein we show that CCC and retriever are closely linked through sharing a common subunit (VPS35L), yet the integrity of CCC, but not retriever, is required to maintain normal endosomal levels of phosphatidylinositol-3-phosphate (PI(3)P). CCC complex depletion leads to elevated PI(3)P levels, enhanced recruitment and activation of WASH (an actin nucleation promoting factor), excess endosomal F-actin and trapping of internalized receptors. Mechanistically, we find that CCC regulates the phosphorylation and endosomal recruitment of the PI(3)P phosphatase MTMR2. Taken together, we show that the regulation of PI(3)P levels by the CCC complex is critical to protein recycling in the endosomal compartment. 1 Department of Internal Medicine, and Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. 2 Division of Oncology Research and Department of Biochemistry and Molecular Biology, College of Medicine, Mayo Clinic, Rochester, MN 55905, USA. -
University of California, San Diego
UC San Diego UC San Diego Electronic Theses and Dissertations Title The post-terminal differentiation fate of RNAs revealed by next-generation sequencing Permalink https://escholarship.org/uc/item/7324r1rj Author Lefkowitz, Gloria Kuo Publication Date 2012 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO The post-terminal differentiation fate of RNAs revealed by next-generation sequencing A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biomedical Sciences by Gloria Kuo Lefkowitz Committee in Charge: Professor Benjamin D. Yu, Chair Professor Richard Gallo Professor Bruce A. Hamilton Professor Miles F. Wilkinson Professor Eugene Yeo 2012 Copyright Gloria Kuo Lefkowitz, 2012 All rights reserved. The Dissertation of Gloria Kuo Lefkowitz is approved, and it is acceptable in quality and form for publication on microfilm and electronically: __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ Chair University of California, San Diego 2012 iii DEDICATION Ma and Ba, for your early indulgence and support. Matt and James, for choosing more practical callings. Roy, my love, for patiently sharing the ups and downs -
Noncoding Rnas As Novel Pancreatic Cancer Targets
NONCODING RNAS AS NOVEL PANCREATIC CANCER TARGETS by Amy Makler A Thesis Submitted to the Faculty of The Charles E. Schmidt College of Science In Partial Fulfillment of the Requirements for the Degree of Master of Science Florida Atlantic University Boca Raton, FL August 2018 Copyright 2018 by Amy Makler ii ACKNOWLEDGEMENTS I would first like to thank Dr. Narayanan for his continuous support, constant encouragement, and his gentle, but sometimes critical, guidance throughout the past two years of my master’s education. His faith in my abilities and his belief in my future success ensured I continue down this path of research. Working in Dr. Narayanan’s lab has truly been an unforgettable experience as well as a critical step in my future endeavors. I would also like to extend my gratitude to my committee members, Dr. Binninger and Dr. Jia, for their support and suggestions regarding my thesis. Their recommendations added a fresh perspective that enriched our initial hypothesis. They have been indispensable as members of my committee, and I thank them for their contributions. My parents have been integral to my successes in life and their support throughout my education has been crucial. They taught me to push through difficulties and encouraged me to pursue my interests. Thank you, mom and dad! I would like to thank my boyfriend, Joshua Disatham, for his assistance in ensuring my writing maintained a logical progression and flow as well as his unwavering support. He was my rock when the stress grew unbearable and his encouraging words kept me pushing along. -
Analysis of Head and Neck Carcinoma Progression Reveals Novel And
bioRxiv preprint doi: https://doi.org/10.1101/365205; this version posted July 9, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Analysis of head and neck carcinoma progression reveals novel and relevant stage-specific changes associated with immortalisation and malignancy. Ratna Veeramachaneni1¶#a, Thomas Walker1¶, Antoine De Weck2&#b, Timothée Revil3&, Dunarel Badescu3&, James O’Sullivan1, Catherine Higgins4, Louise Elliott4, Triantafillos Liloglou5, Janet M. Risk5, Richard Shaw5,6, Lynne Hampson1, Ian Hampson1, Simon Dearden7, Robert 8 9 10 9 Woodwards , Stephen Prime , Keith Hunter , Eric Kenneth Parkinson , Ioannis Ragoussis3, Nalin Thakker1,4* 1. Faculty of Biology, Medicine and Health, University of Manchester, Manchester UK 2. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK 3. McGill University and Genome Quebec Innovation Centre, McGill University, Montreal, Quebec, Canada 4. Department of Cellular Pathology, Manchester University NHS Foundation Trust, Manchester, UK 5. Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool 6. Department of Head and Neck Surgery, Aintree University Hospitals NHS Foundation Trust. 1 bioRxiv preprint doi: https://doi.org/10.1101/365205; this version posted July 9, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 7.