Med1 Regulates Meiotic Progression During Spermatogenesis in Mice
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Differential Expression Profiling of Gene Response to Ionizing Radiation in Two Endometrial Cancer Cell Lines with Distinct Radiosensitivities
625-634 28/1/2009 12:32 ÌÌ ™ÂÏ›‰·625 ONCOLOGY REPORTS 21: 625-634, 2009 625 Differential expression profiling of gene response to ionizing radiation in two endometrial cancer cell lines with distinct radiosensitivities XUE-LIAN DU1,2, TAO JIANG2, ZE-QING WEN1, QING-SHUI LI2, RONG GAO2 and FEI WANG1 1Department of Gynecologic Oncology, Shandong Tumor Hospital, Shandong University, Jinan 250117; 2Department of Obstetrics and Gynecology, Provincial Hospital Affiliated to Shandong University, Jinan 250021, P.R. China Received November 4, 2008; Accepted December 17, 2008 DOI: 10.3892/or_00000265 Abstracts. Although radiotherapy is routinely administered Introduction to high-risk endometrial carcinoma and offer a significant disease-free survival advantage, the therapeutic effect is Endometrial cancer is one of the most common gynecological sometimes limited by the occurrence of radioresistance. To malignancies worldwide. Surgery is the preferred initial determine the patterns of gene expression responsible for treatment and most women with early-stage, low-risk disease the radioresistance and to search for potential target genes for will do well without adjuvant radiotherapy. However, both radiotherapy, we selected two cell lines with distinct radio- intermediate-risk and high-risk patients are at risk for local- sensitivities using colony-formation assay from four endo- regional relapse and therefore adjuvant radiotherapy, such as metrial cancer cell lines. The cell cycle distribution showed pelvic radiation, vaginal brachytherapy, and whole-abdomen higher fractions of G2/M phase cells in the radiosensitive cell radiation, is essential for local control (1). Johnson and line KLE after radiation compared with the radioresistant cell colleagues reported that adjuvant external-beam pelvic radio- line ISK. -
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. -
Supporting Information
Supporting Information Edgar et al. 10.1073/pnas.1601895113 SI Methods (Actimetrics), and recordings were analyzed using LumiCycle Mice. Sample size was determined using the resource equation: Data Analysis software (Actimetrics). E (degrees of freedom in ANOVA) = (total number of exper- – Cell Cycle Analysis of Confluent Cell Monolayers. NIH 3T3, primary imental animals) (number of experimental groups), with −/− sample size adhering to the condition 10 < E < 20. For com- WT, and Bmal1 fibroblasts were sequentially transduced − − parison of MuHV-4 and HSV-1 infection in WT vs. Bmal1 / with lentiviral fluorescent ubiquitin-based cell cycle indicators mice at ZT7 (Fig. 2), the investigator did not know the genotype (FUCCI) mCherry::Cdt1 and amCyan::Geminin reporters (32). of the animals when conducting infections, bioluminescence Dual reporter-positive cells were selected by FACS (Influx Cell imaging, and quantification. For bioluminescence imaging, Sorter; BD Biosciences) and seeded onto 35-mm dishes for mice were injected intraperitoneally with endotoxin-free lucif- subsequent analysis. To confirm that expression of mCherry:: Cdt1 and amCyan::Geminin correspond to G1 (2n DNA con- erin (Promega E6552) using 2 mg total per mouse. Following < ≤ anesthesia with isofluorane, they were scanned with an IVIS tent) and S/G2 (2 n 4 DNA content) cell cycle phases, Lumina (Caliper Life Sciences), 15 min after luciferin admin- respectively, cells were stained with DNA dye DRAQ5 (abcam) and analyzed by flow cytometry (LSR-Fortessa; BD Biosci- istration. Signal intensity was quantified using Living Image ences). To examine dynamics of replicative activity under ex- software (Caliper Life Sciences), obtaining maximum radiance perimental confluent conditions, synchronized FUCCI reporter for designated regions of interest (photons per second per − − − monolayers were observed by time-lapse live cell imaging over square centimeter per Steradian: photons·s 1·cm 2·sr 1), relative 3 d (Nikon Eclipse Ti-E inverted epifluorescent microscope). -
Roles of TBC1D1 and TBC1D4 in Insulin- and Exercise-Stimulated Glucose Transport of Skeletal Muscle
Diabetologia (2015) 58:19–30 DOI 10.1007/s00125-014-3395-5 REVIEW Roles of TBC1D1 and TBC1D4 in insulin- and exercise-stimulated glucose transport of skeletal muscle Gregory D. Cartee Received: 30 June 2014 /Accepted: 7 August 2014 /Published online: 4 October 2014 # Springer-Verlag Berlin Heidelberg 2014 Abstract This review focuses on two paralogue Rab GTPase mechanism for greater TBC1D4 phosphorylation in insulin- activating proteins known as TBC1D1 Tre-2/BUB2/cdc 1 stimulated muscles after acute exercise is uncertain, and a domain family (TBC1D) 1 and TBC1D4 (also called Akt causal link between enhanced TBC1D4 phosphorylation and Substrate of 160 kDa, AS160) and their roles in controlling increased post-exercise insulin sensitivity has yet to be skeletal muscle glucose transport in response to the indepen- established. In summary, TBC1D1 and TBC1D4 have impor- dent and combined effects of insulin and exercise. Convincing tant, but distinct roles in regulating muscle glucose transport evidence implicates Akt2-dependent TBC1D4 phosphoryla- in response to insulin and exercise. tion on T642 as a key part of the mechanism for insulin- stimulated glucose uptake by skeletal muscle. TBC1D1 phos- Keywords Akt substrate of 160 kDa . Diabetes . Glucose phorylation on several insulin-responsive sites (including transport .High-fatdiet .Insulinresistance .Obesity .Physical T596, a site corresponding to T642 in TBC1D4) does not activity . Review appear to be essential for in vivo insulin-stimulated glucose uptake by skeletal muscle. In vivo exercise or ex vivo con- Abbreviations traction of muscle result in greater TBC1D1 phosphorylation AMPK 5' AMP-activated kinase on S237 that is likely to be secondary to increased AMP- APPL2 Adaptor protein containing PH domain, activated protein kinase activity and potentially important for PTB domain and leucine zipper motif 2 contraction-stimulated glucose uptake. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
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. -
Download Validation Data
PrimePCR™Assay Validation Report Gene Information Gene Name RAB2A, member RAS oncogene family Gene Symbol RAB2A Organism Human Gene Summary The protein encoded by this gene belongs to the Rab family members of which are small molecular weight guanosine triphosphatases (GTPases) that contain highly conserved domains involved in GTP binding and hydrolysis. The Rabs are membrane-bound proteins involved in vesicular fusion and trafficking. This protein is a resident of pre-Golgi intermediates and is required for protein transport from the endoplasmic reticulum (ER) to the Golgi complex. Alternatively spliced transcript variants encoding different isoforms have been found for this gene. Gene Aliases RAB2 RefSeq Accession No. NC_000008.10, NT_008183.19 UniGene ID Hs.369017 Ensembl Gene ID ENSG00000104388 Entrez Gene ID 5862 Assay Information Unique Assay ID qHsaCID0011980 Assay Type SYBR® Green Detected Coding Transcript(s) ENST00000262646, ENST00000531289, ENST00000452437, ENST00000543829 Amplicon Context Sequence AAGATGCCCGCCAGCATTCCAATTCCAACATGGTCATTATGCTTATTGGAAATAA AAGTGATTTAGAATCTAGAAGAGAAGTAAAAAAAGAAGAAGGTGAAGCTTTTGCA CGAGAACATGGACTCATCTTCATGGA Amplicon Length (bp) 106 Chromosome Location 8:61497317-61504494 Assay Design Intron-spanning Purification Desalted Validation Results Efficiency (%) 104 R2 0.9988 cDNA Cq 18.53 cDNA Tm (Celsius) 77 Page 1/5 PrimePCR™Assay Validation Report gDNA Cq 43.2 Specificity (%) 100 Information to assist with data interpretation is provided at the end of this report. Page 2/5 PrimePCR™Assay Validation Report -
Extensive Expansion of the Speedy Gene Family in Homininae and Functional Differentiation in Humans
bioRxiv preprint doi: https://doi.org/10.1101/354886; this version posted June 26, 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-NC-ND 4.0 International license. Extensive Expansion of the Speedy gene Family in Homininae and Functional Differentiation in Humans Liang Wang1,2†, Hui Wang1,3,4†, Hongmei Wang1,Yuhui Zhao2, Xiaojun Liu1, Gary Wong5, Qinong Ye6, Xiaoqin Xia7, George F. Gao2, Shan Gao1,8,* 1CAS Key Laboratory of Bio-medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China; 2CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; 3 Institute of Biomedical Engineering, Department of Engineering Science, Old Road Campus Research Building, University of Oxford, Oxford OX3 7DQ, UK; 4Oxford Suzhou Centre for Advanced Research (OSCAR), 388 Ruo Shui Road, Suzhou Industrial Park, Jiangsu 215123, China; 5Shenzhen Key Laboratory of Pathogen and Immunity, Guangdong Key Laboratory for Diagnosis and Treatment of Emerging Infectious Diseases, Shenzhen Third People’s Hospital, Shenzhen 518112, China; 6Department of Medical Molecular Biology, Beijing Institute of Biotechnology, Beijing 100850, China; 7Institutes of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. China, 430072; 8Medical College, Guizhou University, District of Huaxi, Guiyang 550025, China. †These authors contributed equally to this work 1 bioRxiv preprint doi: https://doi.org/10.1101/354886; this version posted June 26, 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. -
WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
(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 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
A SARS-Cov-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug- Repurposing
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.22.002386; this version posted March 23, 2020. 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. A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug- Repurposing David E. Gordon1,2,3,4, Gwendolyn M. Jang1,2,3,4, Mehdi Bouhaddou1,2,3,4, Jiewei Xu1,2,3,4, Kirsten Obernier1,2,3,4, Matthew J. O'Meara5, Jeffrey Z. Guo1,2,3,4, Danielle L. Swaney1,2,3,4, Tia A. Tummino1,2,6, Ruth Huettenhain1,2,3,4, Robyn Kaake1,2,3,4, Alicia L. Richards1,2,3,4, Beril Tutuncuoglu1,2,3,4, Helene Foussard1,2,3,4, Jyoti Batra1,2,3,4, Kelsey Haas1,2,3,4, Maya Modak1,2,3,4, Minkyu Kim1,2,3,4, Paige Haas1,2,3,4, Benjamin J. Polacco1,2,3,4, Hannes Braberg1,2,3,4, Jacqueline M. Fabius1,2,3,4, Manon Eckhardt1,2,3,4, Margaret Soucheray1,2,3,4, Melanie J. Bennett1,2,3,4, Merve Cakir1,2,3,4, Michael J. McGregor1,2,3,4, Qiongyu Li1,2,3,4, Zun Zar Chi Naing1,2,3,4, Yuan Zhou1,2,3,4, Shiming Peng1,2,6, Ilsa T. Kirby1,4,7, James E. Melnyk1,4,7, John S. Chorba1,4,7, Kevin Lou1,4,7, ShiZhong A. Dai1,4,7, Wenqi Shen1,4,7, Ying Shi1,4,7, Ziyang Zhang1,4,7, Inigo Barrio-HernandeZ8, Danish Memon8, Claudia Hernandez-Armenta8, Christopher J.P. -
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 -
Circular DNA Intermediates in the Generation of Large Human Segmental Duplications
Circular DNA intermediates in the generation of large human segmental duplications. Javier Ugarte Chicote IISPV Marcos López-Sánchez Universitat Pompeu Fabra Tomàs Marquès-Bonet Universitat Pompeu Fabra José Callizo Hospital Universitari de Tarragona Joan XXIII Luis Alberto Pérez-Jurado Universitat Pompeu Fabra Antonio Garcia-España ( [email protected] ) iispv https://orcid.org/0000-0002-9957-3161 Research article Keywords: Segmental duplications, circular DNA, human genome evolution, X-Y transposed region, chromoanasynthesis,, MMBIR/FoSTeS, NHEJ, copy number variants Posted Date: July 16th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-27725/v2 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 August 26th, 2020. See the published version at https://doi.org/10.1186/s12864-020-06998-w. Page 1/17 Abstract Background: Duplications of large genomic segments provide genetic diversity in genome evolution. Despite their importance, how these duplications are generated remains uncertain, particularly for distant duplicated genomic segments. Results: Here we provide evidence of the participation of circular DNA intermediates in the single generation of some large human segmental duplications. A specic reversion of sequence order from A- B/C-D to B-A/D-C between duplicated segments and the presence of only microhomologies and short indels at the evolutionary breakpoints suggest a circularization of the donor ancestral locus and an accidental replicative interaction with the acceptor locus. Conclusions: This novel mechanism of random genomic mutation could explain several distant genomic duplications including some of the ones that took place during recent human evolution.