Immune-Mediated Genetic Pathways Resulting in Pulmonary Function Impairment Increase Lung Cancer Susceptibility
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
Identification of Potential Proteases for Abdominal Aortic Aneurysm by Weighted Gene Coexpression Network Analysis
Genome Identification of potential proteases for abdominal aortic aneurysm by weighted gene coexpression network analysis Journal: Genome Manuscript ID gen-2020-0041.R1 Manuscript Type: Article Date Submitted by the 28-Jun-2020 Author: Complete List of Authors: Zhang, Hui; Peking Union Medical College Hospital, Department of Vascular Surgery Yang, Dan; Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Computational Biology and Bioinformatics,Draft Institute of Medicinal Plant Development Chen, Siliang; Peking Union Medical College Hospital, Department of Vascular Surgery Li, Fangda; Peking Union Medical College Hospital, Department of Vascular Surgery Cui, Liqiang; Peking Union Medical College Hospital, Department of Vascular Surgery Liu, Zhili; Peking Union Medical College Hospital, Department of Vascular Surgery Shao, Jiang; Peking Union Medical College Hospital, Department of Vascular Surgery Chen, Yuexin; Peking Union Medical College Hospital, Department of Vascular Surgery Liu, Bao; Peking Union Medical College Hospital, Department of Vascular Surgery Zheng, Yuehong; Peking Union Medical College Hospital, Department of Vascular Surgery Abdominal aortic aneurysm, next-generation sequencing, WGCNA, Keyword: proteases, matrix metalloproteinase Is the invited manuscript for consideration in a Special Not applicable (regular submission) Issue? : https://mc06.manuscriptcentral.com/genome-pubs Page 1 of 35 Genome 1 Identification of potential proteases for abdominal aortic aneurysm by weighted gene 2 coexpression network analysis 3 Short title: WGCNA identifies crucial proteases in AAA 4 5 Hui Zhang1, Dan Yang2, Siliang Chen1, Fangda Li1, Liqiang Cui1, Zhili Liu1, Jiang Shao1, Yuexin 6 Chen1, Bao Liu1, Yuehong Zheng1. 7 1Department of Vascular Surgery, Peking Union Medical College Hospital, Beijing 100730, PR 8 China; 2Department of Computational Biology and Bioinformatics, Institute of Medicinal Plant 9 Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 10 100730, PR China. -
Transcriptome Analysis Uncovers the Diagnostic Value of Mir-192-5P/HNF1A-AS1/VIL1 Panel in Cervical Adenocarcinoma
www.nature.com/scientificreports OPEN Transcriptome analysis uncovers the diagnostic value of miR‑192‑5p/ HNF1A‑AS1/VIL1 panel in cervical adenocarcinoma Junfen Xu1*, Jian Zou1, Luyao Wu1 & Weiguo Lu1,2* Despite the fact that the incidence of cervical squamous cell carcinoma has decreased, there is an increase in the incidence of cervical adenocarcinoma. However, our knowledge on cervical adenocarcinoma is largely unclear. Transcriptome sequencing was conducted to compare 4 cervical adenocarcinoma tissue samples with 4 normal cervical tissue samples. mRNA, lncRNA, and miRNA signatures were identifed to discriminate cervical adenocarcinoma from normal cervix. The expression of VIL1, HNF1A‑AS1, MIR194‑2HG, SSTR5‑AS1, miR‑192‑5p, and miR‑194‑5p in adenocarcinoma were statistically signifcantly higher than that in normal control samples. The Receiver Operating Characteristic (ROC) curve analysis indicated that combination of miR‑192‑5p, HNF1A‑AS1, and VIL1 yielded a better performance (AUC = 0.911) than any single molecule -and could serve as potential biomarkers for cervical adenocarcinoma. Of note, the combination model also gave better performance than TCT test for cervical adenocarcinoma diagnosis. However, there was no correlation between miR‑192‑5p or HNF1A‑AS1 and HPV16/18 E6 or E7. VIL1 was weakly correlated with HPV18 E7 expression. In summary, our study has identifed miR‑192‑5p/HNF1A‑AS1/VIL1 panel that accurately discriminates adenocarcinoma from normal cervix. Detection of this panel may provide considerable clinical value in the diagnosis of cervical adenocarcinoma. Abbreviations SCC Cervical squamous cell carcinoma NcRNA Non-coding RNA MiRNA MicroRNA LncRNA Long non-coding RNA ROC Receiver operating characteristic AUC Area under the ROC curve RT-qPCR Quantitative reverse-transcriptase PCR HNF1A-AS1 LncRNA HNF1A antisense RNA 1 VIL1 Villin 1 Cervical cancer ranks fourth for both cancer incidence and mortality in women worldwide 1. -
Genomic and Transcriptome Analysis Revealing an Oncogenic Functional Module in Meningiomas
Neurosurg Focus 35 (6):E3, 2013 ©AANS, 2013 Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas XIAO CHANG, PH.D.,1 LINGLING SHI, PH.D.,2 FAN GAO, PH.D.,1 JONATHAN RUssIN, M.D.,3 LIYUN ZENG, PH.D.,1 SHUHAN HE, B.S.,3 THOMAS C. CHEN, M.D.,3 STEVEN L. GIANNOTTA, M.D.,3 DANIEL J. WEISENBERGER, PH.D.,4 GAbrIEL ZADA, M.D.,3 KAI WANG, PH.D.,1,5,6 AND WIllIAM J. MAck, M.D.1,3 1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; 2GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China; 3Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California; 4USC Epigenome Center, Keck School of Medicine, University of Southern California, Los Angeles, California; 5Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California; and 6Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California Object. Meningiomas are among the most common primary adult brain tumors. Although typically benign, roughly 2%–5% display malignant pathological features. The key molecular pathways involved in malignant trans- formation remain to be determined. Methods. Illumina expression microarrays were used to assess gene expression levels, and Illumina single- nucleotide polymorphism arrays were used to identify copy number variants in benign, atypical, and malignant me- ningiomas (19 tumors, including 4 malignant ones). The authors also reanalyzed 2 expression data sets generated on Affymetrix microarrays (n = 68, including 6 malignant ones; n = 56, including 3 malignant ones). -
Understanding the Role of Transforming Growth Factor Beta Signalling and Epigenomics in Osteoarthritis
Understanding the role of Transforming Growth Factor Beta signalling and Epigenomics in Osteoarthritis by ©Erfan Aref-Eshghi A thesis submitted to the School of Graduate Studies In partial fulfilment of the requirements for the degree of Doctor of Philosophy in Medicine - Human Genetics Discipline of Genetics, Faculty of Medicine Memorial University of Newfoundland St. John’s, Newfoundland and Labrador, Canada May 2016 i Abstract Osteoarthritis (OA) is the most common form of arthritis with a high socioeconomic burden, with an incompletely understood etiology. Evidence suggests a role for the transforming growth factor beta (TGF-ß) signalling pathway and epigenomics in OA. The aim of this thesis was to understand the involvement of the TGF-ß pathway in OA and to determine the DNA methylation patterns of OA-affected cartilage as compared to the OA-free cartilage. First, I found that a common SNP in the BMP2 gene, a ligand in the Bone morphogenetic protein (BMP) subunit of TGF-ß pathway, was associated with OA in the Newfoundland population. I also showed a genetic association between SMAD3 - a signal transducer in the TGF-ß subunit of the TGF-ß signalling pathway - and the total radiographic burden of OA. I further demonstrated that SMAD3 is over-expressed in OA cartilage, suggesting an over activation of the TGF-ß signalling in OA. Next, I examined the connection of these genes in the regulation of matrix metallopeptidase 13 (MMP13) - an enzyme known to destroy extracellular matrix in OA cartilage - in the context of the TGF-ß signalling. The analyses showed that TGF-ß, MMP13, and SMAD3 were overexpressed in OA cartilage, whereas the expression of BMP2 was significantly reduced. -
Qt38n028mr Nosplash A3e1d84
! ""! ACKNOWLEDGEMENTS I dedicate this thesis to my parents who inspired me to become a scientist through invigorating scientific discussions at the dinner table even when I was too young to understand what the hippocampus was. They also prepared me for the ups and downs of science and supported me through all of these experiences. I would like to thank my advisor Dr. Elizabeth Blackburn and my thesis committee members Dr. Eric Verdin, and Dr. Emmanuelle Passegue. Liz created a nurturing and supportive environment for me to explore my own ideas, while at the same time teaching me how to love science, test my questions, and of course provide endless ways to think about telomeres and telomerase. Eric and Emmanuelle both gave specific critical advice about the proper experiments for T cells and both volunteered their lab members for further critical advice. I always felt inspired with a sense of direction after thesis committee meetings. The Blackburn lab is full of smart and dedicated scientists whom I am thankful for their support. Specifically Dr. Shang Li and Dr. Brad Stohr for their stimulating scientific debates and “arguments.” Dr. Jue Lin, Dana Smith, Kyle Lapham, Dr. Tet Matsuguchi, and Kyle Jay for their friendships and discussions about what my data could possibly mean. Dr. Eva Samal for teaching me molecular biology techniques and putting up with my late night lab exercises. Beth Cimini for her expertise with microscopy, FACs, singing, and most of all for being a caring and supportive friend. Finally, I would like to thank Dr. Imke Listerman, my scientific partner for most of the breast cancer experiments. -
Gen-2020-0136.Pdf
Genome Gut microbiome mediated epigenetic regulation of brain disorder and application of machine learning for multi- omics data analysis Journal: Genome Manuscript ID gen-2020-0136.R1 Manuscript Type: Mini Review Date Submitted by the 25-Sep-2020 Author: Complete List of Authors: Kaur, Harpreet; University of North Dakota School of Medicine and Health Sciences, Department of Biomedical Science Singh, Yuvraj; University of Calgary Faculty of Science, Department of Biological SciencesDraft Singh, Surjeet; University of Lethbridge, Department of Neuroscience, Canadian Centre for Behavioural Neuroscience (CCBN) Singh, Raja; University of Alberta, Faculty of Medicine and Dentistry; University of Calgary Cumming School of Medicine Gut-brain axis, epigenetics, neurodegenerative diseases, Machine Keyword: learning, Microbiota Is the invited manuscript for consideration in a Special Genome Biology Issue? : © The Author(s) or their Institution(s) Page 1 of 46 Genome 1 Gut microbiome mediated epigenetic regulation of brain disorder and application of 2 machine learning for multi-omics data analysis 3 4 Harpreet Kaur1*#, Yuvraj Singh2#, Surjeet Singh3, Raja B Singh4,5 5 1Department of Biomedical Sciences, School of Medicine and Health Sciences, University of 6 North Dakota, Grand Forks, ND, USA 7 2Department of Biological Sciences, Faculty of Science, University of Calgary, Alberta, Canada 8 3Department of Neuroscience, Canadian Centre for Behavioural Neuroscience (CCBN), 9 University of Lethbridge, Lethbridge, AB, Canada 10 4Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada 11 5Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada 12 13 # equal contribution 14 15 Draft 16 17 18 19 20 21 *Corresponding author: 22 Harpreet Kaur, PhD 23 Department of Biomedical Sciences 24 School of Medicine and Health Sciences 25 University of North Dakota 26 Grand Forks, ND, 58202, USA. -
Maintenance of Mammary Epithelial Phenotype by Transcription Factor Runx1 Through Mitotic Gene Bookmarking Joshua Rose University of Vermont
University of Vermont ScholarWorks @ UVM Graduate College Dissertations and Theses Dissertations and Theses 2019 Maintenance Of Mammary Epithelial Phenotype By Transcription Factor Runx1 Through Mitotic Gene Bookmarking Joshua Rose University of Vermont Follow this and additional works at: https://scholarworks.uvm.edu/graddis Part of the Biochemistry Commons, and the Genetics and Genomics Commons Recommended Citation Rose, Joshua, "Maintenance Of Mammary Epithelial Phenotype By Transcription Factor Runx1 Through Mitotic Gene Bookmarking" (2019). Graduate College Dissertations and Theses. 998. https://scholarworks.uvm.edu/graddis/998 This Thesis is brought to you for free and open access by the Dissertations and Theses at ScholarWorks @ UVM. It has been accepted for inclusion in Graduate College Dissertations and Theses by an authorized administrator of ScholarWorks @ UVM. For more information, please contact [email protected]. MAINTENANCE OF MAMMARY EPITHELIAL PHENOTYPE BY TRANSCRIPTION FACTOR RUNX1 THROUGH MITOTIC GENE BOOKMARKING A Thesis Presented by Joshua Rose to The Faculty of the Graduate College of The University of Vermont In Partial Fulfillment of the Requirements for the Degree of Master of Science Specializing in Cellular, Molecular, and Biomedical Sciences January, 2019 Defense Date: November 12, 2018 Thesis Examination Committee: Sayyed Kaleem Zaidi, Ph.D., Advisor Gary Stein, Ph.D., Advisor Seth Frietze, Ph.D., Chairperson Janet Stein, Ph.D. Jonathan Gordon, Ph.D. Cynthia J. Forehand, Ph.D. Dean of the Graduate College ABSTRACT Breast cancer arises from a series of acquired mutations that disrupt normal mammary epithelial homeostasis and create multi-potent cancer stem cells that can differentiate into clinically distinct breast cancer subtypes. Despite improved therapies and advances in early detection, breast cancer remains the leading diagnosed cancer in women. -
SYSTEMS BIOLOGY and BIOMEDICINE (Sbiomed-2018) Symposium
Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics SB RAS Novosibirsk State University BIOINFORMATICS OF GENOME REGULATION AND STRUCTURE\SYSTEMS BIOLOGY (BGRS\SB-2018) The Eleventh International Conference SYSTEMS BIOLOGY AND BIOMEDICINE (SBioMed-2018) Symposium Abstracts 21–22 August, 2018 Novosibirsk, Russia Novosibirsk ICG SB RAS 2018 УДК 575 S98 Systems Biology and Biomedicine (SBioMed-2018) : Symposium (21–22 Aug. 2018, Novosibirsk, Russia); Abstracts / Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences; Research Institute of Clinical and Experimental Lymphology – Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences. – Novosibirsk: ICG SB RAS, 2018. – 174 pp. – ISBN 978-5-91291-040-1. Program committee Chairman A.Y. Letyagin, Professor, Novosibirsk Executive Secretary V.V. Klimontov, Professor, Novosibirsk Members D.A. Afonnikov, Novosibirsk, Russia A.V. Baranova, Fairfast, USA N.P. Bgatova, Novosibirsk, Russia V.I. Konenkov, Novosibirsk, Russia A.V. Kochetov, Novosibirsk, Russia A.A. Lagunin, Moscow, Russia L. Lipovich, Detroit, USA T.I. Merculova, Novosibirsk, Russia V.A. Mordvinov, Novosibirsk, Russia M.P. Moshkin, Novosibirsk, Russia Yu.L. Orlov, Novosibirsk, Russia S.E. Peltek, Novosibirsk, Russia A.G. Pokrovsky, Novosibirsk, Russia T.I. Pospelova, Novosibirsk, Russia O.V. Poveschenko, Novosibirsk, Russia V.P. Puzyrev, Tomsk, Russia S.V. Sennikov, Novosibirsk, Russia M.Yu. Skoblov, Moscow, Russia V.A. Stepanov, Tomsk, Russia Yu.I. Ragino, Novosibirsk, Russia A.N. Tulpakov, Moscow, Russia M.I. Voevoda, Novosibirsk, Russia Organizing committee Chairman M.A. -
A Genome-Wide Association Study for Irinotecan-Related Severe Toxicities in Patients with Advanced Non-Small-Cell Lung Cancer
The Pharmacogenomics Journal (2013) 13, 417 -- 422 & 2013 Macmillan Publishers Limited All rights reserved 1470-269X/13 www.nature.com/tpj ORIGINAL ARTICLE A genome-wide association study for irinotecan-related severe toxicities in patients with advanced non-small-cell lung cancer J-Y Han1, ES Shin2, Y-S Lee3, HY Ghang4, S-Y Kim3, J-A Hwang3, JY Kim1 and JS Lee1 The identification of patients who are at high risk for irinotecan-related severe diarrhea and neutropenia is clinically important. We conducted the first genome-wide association study (GWAS) to search for novel susceptibility genes for irinotecan-related severe toxicities, such as diarrhea and neutropenia, in non-small-cell lung cancer (NSCLC) patients treated with irinotecan chemotherapy. The GWAS putatively identified 49 single-nucleotide polymorphisms (SNPs) associated with grade 3 diarrhea (G3D) and 32 SNPs associated with grade 4 neutropenia (G4N). In the replication series, the SNPs rs1517114 (C8orf34), rs1661167 (FLJ41856) and rs2745761 (PLCB1) were confirmed as being associated with G3D, whereas rs11128347 (PDZRN3) and rs11979430 and rs7779029 (SEMAC3) were confirmed as being associated with G4N. The final imputation analysis of our GWAS and replication study showed significant overlaps of association signals within these novel variants. This GWAS screen, along with subsequent validation and imputation analysis, identified novel SNPs associated with irinotecan-related severe toxicities. The Pharmacogenomics Journal (2013) 13, 417--422; doi:10.1038/tpj.2012.24; published online 5 June 2012 Keywords: C8orf34; FLJ41856; PLCB1; PDZRN3; SEMA3C; irinotecan INTRODUCTION technologies has paved the way for a genome-wide association 13 Irinotecan is one of the most active chemotherapeutic agents for study (GWAS) to identify novel susceptibility genes. -
C-Met As a Key Factor Responsible for Sustaining Undifferentiated Phenotype and Therapy Resistance in Renal Carcinomas
cells Review C-Met as a Key Factor Responsible for Sustaining Undifferentiated Phenotype and Therapy Resistance in Renal Carcinomas Paulina Marona 1 , Judyta Górka 1 , Jerzy Kotlinowski 1 , Marcin Majka 2 , Jolanta Jura 1 and Katarzyna Miekus 1,* 1 Department of General Biochemistry, Faculty of Biochemistry, Biopphisics and Biotechnology, Jagiellonian University, Gronostajowa Street 7, 30-387 Krakow, Poland; [email protected] (P.M.); [email protected] (J.G.); [email protected] (J.K.); [email protected] (J.J.) 2 Department of Transplantation, Jagiellonian University Medical College, Jagiellonian University, Wielicka 265, 30-663 Krakow, Poland; [email protected] * Correspondence: [email protected] Received: 28 February 2019; Accepted: 19 March 2019; Published: 22 March 2019 Abstract: C-Met tyrosine kinase receptor plays an important role under normal and pathological conditions. In tumor cells’ overexpression or incorrect activation of c-Met, this leads to stimulation of proliferation, survival and increase of motile activity. This receptor is also described as a marker of cancer initiating cells. The latest research shows that the c-Met receptor has an influence on the development of resistance to targeted cancer treatment. High c-Met expression and activation in renal cell carcinomas is associated with the progression of the disease and poor survival of patients. C-Met receptor has become a therapeutic target in kidney cancer. However, the therapies used so far using c-Met tyrosine kinase inhibitors demonstrate resistance to treatment. On the other hand, the c-Met pathway may act as an alternative target pathway in tumors that are resistant to other therapies. -
Development of Novel Analysis and Data Integration Systems to Understand Human Gene Regulation
Development of novel analysis and data integration systems to understand human gene regulation Dissertation zur Erlangung des Doktorgrades Dr. rer. nat. der Fakult¨atf¨urMathematik und Informatik der Georg-August-Universit¨atG¨ottingen im PhD Programme in Computer Science (PCS) der Georg-August University School of Science (GAUSS) vorgelegt von Raza-Ur Rahman aus Pakistan G¨ottingen,April 2018 Prof. Dr. Stefan Bonn, Zentrum f¨urMolekulare Neurobiologie (ZMNH), Betreuungsausschuss: Institut f¨urMedizinische Systembiologie, Hamburg Prof. Dr. Tim Beißbarth, Institut f¨urMedizinische Statistik, Universit¨atsmedizin, Georg-August Universit¨at,G¨ottingen Prof. Dr. Burkhard Morgenstern, Institut f¨urMikrobiologie und Genetik Abtl. Bioinformatik, Georg-August Universit¨at,G¨ottingen Pr¨ufungskommission: Prof. Dr. Stefan Bonn, Zentrum f¨urMolekulare Neurobiologie (ZMNH), Referent: Institut f¨urMedizinische Systembiologie, Hamburg Prof. Dr. Tim Beißbarth, Institut f¨urMedizinische Statistik, Universit¨atsmedizin, Korreferent: Georg-August Universit¨at,G¨ottingen Prof. Dr. Burkhard Morgenstern, Weitere Mitglieder Institut f¨urMikrobiologie und Genetik Abtl. Bioinformatik, der Pr¨ufungskommission: Georg-August Universit¨at,G¨ottingen Prof. Dr. Carsten Damm, Institut f¨urInformatik, Georg-August Universit¨at,G¨ottingen Prof. Dr. Florentin W¨org¨otter, Physikalisches Institut Biophysik, Georg-August-Universit¨at,G¨ottingen Prof. Dr. Stephan Waack, Institut f¨urInformatik, Georg-August Universit¨at,G¨ottingen Tag der m¨undlichen Pr¨ufung: der 30. M¨arz2018