Deciphering the Long Non-Coding Rnas and Micrornas Coregulation Networks in Ovarian Cancer Development: an Overview
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UMP/CMPK Is Not the Critical Enzyme in the Metabolism of Pyrimidine Ribonucleotide and Activation of Deoxycytidine Analogs in Human RKO Cells
UMP/CMPK Is Not the Critical Enzyme in the Metabolism of Pyrimidine Ribonucleotide and Activation of Deoxycytidine Analogs in Human RKO Cells Rong Hu1, Wing Lam1, Chih-Hung Hsu1,2, Yung-Chi Cheng* 1 Department of Pharmacology, Yale University School of Medicine, New Haven, Connecticut, United States of America, 2 Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan, Republic of China Abstract Background: Human UMP/CMP kinase was identified based on its enzymatic activity in vitro. The role of this protein is considered critical for the maintenance of pyrimidine nucleotide pool profile and for the metabolism of pyrimidine analogs in cells, based on the in vitro study of partially purified enzyme and recombinant protein. However, no detailed study has yet addressed the role of this protein in nucleotide metabolism in cells. Methodology/Principal Findings: Two stable cell lines in which UMP/CMP kinase (mRNA: AF087865, EC 2.7.4.14) can be either up-regulated or down-regulated were developed using Tet-On Gene Expression Systems. The amount and enzymatic activity of UMP/CMP kinase extracted from these two cell lines can be induced up by 500% or down by 95–98%. The ribonucleotides of endogenous pyrimidine as well as the metabolism of exogenous natural pyrimidine nucleosides and their analogs were not susceptible to the altered amount of UMP/CMP kinase in these two stable RKO cell lines. The level of incorporation of pyrimidine nucleoside analogs, such as gemcitabine (dFdC) and troxacitabine (L-OddC), into cellular DNA and their potency in inhibiting cell growth were not significantly altered by up-regulation or down-regulation of UMP/CMP kinase expression in cells. -
Identification and Analysis of Single-Nucleotide Polymorphisms in the Gemcitabine Pharmacologic Pathway
The Pharmacogenomics Journal (2004) 4, 307–314 & 2004 Nature Publishing Group All rights reserved 1470-269X/04 $30.00 www.nature.com/tpj ORIGINAL ARTICLE Identification and analysis of single-nucleotide polymorphisms in the gemcitabine pharmacologic pathway AK Fukunaga1 ABSTRACT 2 Significant variability in the antitumor efficacy and systemic toxicity of S Marsh gemcitabine has been observed in cancer patients. However, there are 1 DJ Murry currently no tools for prospective identification of patients at risk for TD Hurley3 untoward events. This study has identified and validated single-nucleotide HL McLeod2 polymorphisms (SNP) in genes involved in gemcitabine metabolism and transport. Database mining was conducted to identify SNPs in 14 genes 1Department of Clinical Pharmacy and Pharmacy involved in gemcitabine metabolism. Pyrosequencing was utilized to Practice, Purdue University, W. Lafayette, IN, determine the SNP allele frequencies in genomic DNA from European and 2 USA; Departments of Medicine, Genetics, and African populations (n ¼ 190). A total of 14 genetic variants (including 12 Molecular Biology and Pharmacology, Washington University School of Medicine and SNPs) were identified in eight of the gemcitabine metabolic pathway genes. the Siteman Cancer Center, St Louis, MO, USA; The majority of the database variants were observed in population samples. 3Department of Biochemistry and Molecular Nine of the 14 (64%) polymorphisms analyzed have allele frequencies that Biology, Indiana University School of Medicine, were found to be significantly different between the European and African Indianapolis, IN, USA populations (Po0.05). This study provides the first step to identify markers Correspondence: for predicting variability in gemcitabine response and toxicity. Dr HL McLeod, Washington University The Pharmacogenomics Journal (2004) 4, 307–314. -
Mutational Landscape Differences Between Young-Onset and Older-Onset Breast Cancer Patients Nicole E
Mealey et al. BMC Cancer (2020) 20:212 https://doi.org/10.1186/s12885-020-6684-z RESEARCH ARTICLE Open Access Mutational landscape differences between young-onset and older-onset breast cancer patients Nicole E. Mealey1 , Dylan E. O’Sullivan2 , Joy Pader3 , Yibing Ruan3 , Edwin Wang4 , May Lynn Quan1,5,6 and Darren R. Brenner1,3,5* Abstract Background: The incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for somatic mutations. This study investigated genomic differences between young- and older-onset breast tumours. Methods: In this study we characterized the mutational landscape of 89 young-onset breast tumours (≤40 years) and examined differences with 949 older-onset tumours (> 40 years) using data from The Cancer Genome Atlas. We examined mutated genes, mutational load, and types of mutations. We used complementary R packages “deconstructSigs” and “SomaticSignatures” to extract mutational signatures. A recursively partitioned mixture model was used to identify whether combinations of mutational signatures were related to age of onset. Results: Older patients had a higher proportion of mutations in PIK3CA, CDH1, and MAP3K1 genes, while young- onset patients had a higher proportion of mutations in GATA3 and CTNNB1. Mutational load was lower for young- onset tumours, and a higher proportion of these mutations were C > A mutations, but a lower proportion were C > T mutations compared to older-onset tumours. The most common mutational signatures identified in both age groups were signatures 1 and 3 from the COSMIC database. -
Genetic and Bioinformatic Analyses of the Expression and Function of PI3K
Zhou et al. BMC Medical Genomics 2012, 5:34 http://www.biomedcentral.com/1755-8794/5/34 RESEARCH ARTICLE Open Access Genetic and bioinformatic analyses of the expression and function of PI3K regulatory subunit PIK3R3 in an Asian patient gastric cancer library Jin Zhou1, Geng Bo Chen3, Yew Chung Tang4, Rohit Anthony Sinha1, Yonghui Wu8, Chui Sun Yap1, Guihua Wang5, Junbo Hu5, Xianmin Xia5, Patrick Tan2,8,9,10, Liang Kee Goh3,6,7 and Paul Michael Yen1* Abstract Background: While there is strong evidence for phosphatidylinositol 3-kinase (PI3K) involvement in cancer development, there is limited information about the role of PI3K regulatory subunits. PIK3R3, the gene that encodes the PI3K regulatory subunit p55γ, is over-expressed in glioblastoma and ovarian cancers, but its expression in gastric cancer (GC) is not known. We thus used genetic and bioinformatic approaches to examine PIK3R3 expression and function in GC, the second leading cause of cancer mortality world-wide and highly prevalent among Asians. Methods: Primary GC and matched non-neoplastic mucosa tissue specimens from a unique Asian patient gastric cancer library were comprehensively profiled with platforms that measured genome-wide mRNA expression, DNA copy number variation, and DNA methylation status. Function of PIK3R3 was predicted by IPA pathway analysis of co-regulated genes with PIK3R3, and further investigated by siRNA knockdown studies. Cell proliferation was estimated by crystal violet dye elution and BrdU incorporation assay. Cell cycle distribution was analysed by FACS. Results: PIK3R3 was significantly up-regulated in GC specimens (n = 126, p < 0.05), and 9.5 to 15% tumors showed more than 2 fold increase compare to the paired mucosa tissues. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase. -
Genomic Interrogation of Melanoma for Identification of Driver Oncogenic Factors
UC Merced UC Merced Electronic Theses and Dissertations Title Genomic Interrogation of Melanoma for Identification of Driver Oncogenic Factors Permalink https://escholarship.org/uc/item/1fb0q0s2 Author Gupta, Rohit Publication Date 2019 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, MERCED Genomic Interrogation of Melanoma for Identification of Driver Oncogenic Factors by Rohit Gupta A dissertation submitted in partial fulfillment for the degree of Doctor of Philosophy in the Program for Quantitative & Systems Biology School of Natural Sciences August 2019 Committee in charge: Professor Miriam Barlow, Advisor Professor Michael Colvin, Chair Professor Suzanne Sindi Professor Mark Sistrom Copyright Rohit Gupta, 2019 All rights reserved The Dissertation of Rohit Gupta is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Professor Miriam Barlow, Advisor Professor Michael Colvin, Chair Professor Suzanne Sindi Professor Mark Sistrom University of California, Merced 2019 \To reach a port we must set sail { Sail, not tie at anchor Sail, not drift." Franklin D. Roosevelt UNIVERSITY OF CALIFORNIA, MERCED Abstract Program for Quantitative & Systems Biology School of Natural Sciences Doctor of Philosophy by Rohit Gupta Underpinning genomic principles are defining feature in every physiologic and pathologic process. Through advances in metabolomics, systems biologists can now track the dynamic interactions of the metabolome with the epigenome, genome, transcriptome and proteome. Understanding of cross talk between genomic, epige- nomic and structural changes at biophysical scale on cellular metabolism is still in its infancy. Using Next-Gen Sequencing data in tandem with biophysical approaches, metabolism was found to play an important role in cellular prolif- eration, differentiation, metastasis. -
Genomic Annotation of the Meningioma Tumor Suppressor Locus on Chromosome 1P34
Oncogene (2004) 23, 1014–1020 & 2004 Nature Publishing Group All rights reserved 0950-9232/04 $25.00 www.nature.com/onc Genomic annotation of the meningioma tumor suppressor locus on chromosome 1p34 Erik P Sulman1,2, Peter S White2,3 and Garrett M Brodeur*,2,3 1The Fels Institute for Molecular Biology and Cancer Research, Temple University School of Medicine, Philadelphia, PA 19140, USA; 2Division of Oncology, Children’s Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA; 3Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA Meningioma is a frequently occurring tumor of the 13–20% of adult brain tumors, with an overall incidence meninges surrounding the central nervous system. Loss of approximately 7–8/100 000 per year, including of the short arm of chromosome 1 (1p) is the second most asymptomatic cases discovered at autopsy (Nakasu frequent chromosomal abnormality observed in these et al., 1987; Bondy and Ligon, 1996). Although usually tumors. Previously,we identified a 3.7 megabase (Mb) benign, 5–10% of tumors are malignant and invasive region of consistent deletion on 1p33–p34 in a panel of 157 and 20–40% of patients suffer from recurrent disease tumors. Loss of this region was associated with advanced (Zu¨ lch, 1979; Mathiesen et al., 1996). Meningiomas are disease and predictive for tumor relapse. In this report,a also associated with Neurofibromatosis type 2, occur- high-resolution integrated map of the region was con- ring nearly as frequently in that disease as vestibular structed (CompView) to identify all markers in the schwannomas (Evans et al., 1992). -
Identification of Key Candidate Genes Involved in Melanoma Metastasis
MOLECULAR meDICINE rePorTS 20: 903-914, 2019 Identification of key candidate genes involved in melanoma metastasis JIA CHEN1*, FEI WU1*, YU SHI2*, DEGANG YANG3, MINGYUAN XU1, YONGXIAN LAI4 and YEQIANG LIU1 Departments of 1Dermatopathology, 2Medical Cosmetology, 3Treatment and 4Dermatologic Surgery, Tongji University Affiliated Shanghai Skin Disease Hospital, Shanghai 200443, P.R. China Received May 10, 2018; Accepted January 18, 2019 DOI: 10.3892/mmr.2019.10314 Abstract. Metastasis is the most lethal stage of cancer phosphoinositide-3-kinase regulator subunit 3 (PIK3R3), progression. The present study aimed to investigate the centromere protein M (CENPM), aurora kinase A (AURKA), underlying molecular mechanisms of melanoma metastasis laminin subunit α 1 (LAMA1), proliferating cell nuclear using bioinformatics. Using the microarray dataset GSE8401 antigen (PCNA), adenylate cyclase 1 (ADCY1), BUB1 from the Gene Expression Omnibus database, which mitotic checkpoint serine/threonine kinase (BUB1), NDC80 included 52 biopsy specimens from patients with melanoma kinetochore complex component (NDC80) and protein metastasis and 31 biopsy specimens from patients with kinase C α (PRKCA) in DEGs was statistically significant. primary melanoma, differentially expressed genes (DEGs) Mutation gene analysis identified that BRCA1-associated were identified, subsequent to data preprocessing with protein 1 (BAP1) had a higher mutation frequency and survival the affy package, followed by Gene Ontology and Kyoto analysis, and its associated genes in the BAP1-associated Encyclopedia of Genes and Genomes (KEGG) pathway PPI network, including ASXL transcriptional regulator 1 enrichment analyses. A protein-protein interaction (PPI) (ASXL1), proteasome 26S subunit, non-ATPase 3 (PSMD3), network was constructed. Mutated genes were analyzed with proteasome 26S subunit, non ATPase 11 (PSMD11) and 80 mutated cases with melanoma from The Cancer Genome ubiquitin C (UBC), were statistically significantly associated Atlas. -
Comparative Proteomic and Regulatory Network Analyses of the Elongating Pig Conceptus
2678 DOI 10.1002/pmic.200800776 Proteomics 2009, 9, 2678–2694 RESEARCH ARTICLE Comparative proteomic and regulatory network analyses of the elongating pig conceptus Séverine A. Degrelle1*, Le Ann Blomberg1, Wesley M. Garrett1, Robert W. Li2 and Neil C. Talbot1 1 USDA Agricultural Research Service, Animal and Natural Resources Institute, Animal Biosciences and Biotechnology Laboratory, Beltsville, MD, USA 2 Bovine Functional Genomics Laboratory, Beltsville, MD, USA Embryo loss during peri-implantation can approach 20% in swine following artificial insemina- Received: September 30, 2008 tion or natural mating and coincides with rapid conceptus elongation. The objective of the pres- Revised: December 31, 2008 ent study was to establish a comprehensive profile of the abundant proteins of the pig conceptus Accepted: January 13, 2009 at the time prior to implantation and identify stage-specific changes during elongation. The abundant proteins of a homogenous population of gestational day-11 ovoid (0.7–1 cm) and gestational day-12 filamentous (15–20 cm) porcine concepti were compared by extracting pro- teins from three independent conceptus pools and separating the proteins by 2-DE. Proteins in 305 spots were analyzed by MALDI-TOF or additionally by LC-MS/MS and 275 were positively identified representing 174 distinct proteins. The proteins could be classified into the following functional categories: cell proliferation/differentiation, cytoskeleton, metabolism, and stress re- sponse. Based on spot density, 35 proteins associated with cell proliferation, differentiation, apoptosis, and embryo/maternal signaling, were found to be differentially expressed between ovoid and filamentous concepti. A comparison of the protein expression profile with tran- scriptomic data from pig concepti of the same developmental stages identified similarities and dissimilarities between protein and mRNA expression profiles. -
UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Cardiac Stretch-Induced Transcriptomic Changes are Axis-Dependent Permalink https://escholarship.org/uc/item/7m04f0b0 Author Buchholz, Kyle Stephen Publication Date 2016 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Cardiac Stretch-Induced Transcriptomic Changes are Axis-Dependent A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioengineering by Kyle Stephen Buchholz Committee in Charge: Professor Jeffrey Omens, Chair Professor Andrew McCulloch, Co-Chair Professor Ju Chen Professor Karen Christman Professor Robert Ross Professor Alexander Zambon 2016 Copyright Kyle Stephen Buchholz, 2016 All rights reserved Signature Page The Dissertation of Kyle Stephen Buchholz is approved and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California, San Diego 2016 iii Dedication To my beautiful wife, Rhia. iv Table of Contents Signature Page ................................................................................................................... iii Dedication .......................................................................................................................... iv Table of Contents ................................................................................................................ v List of Figures ................................................................................................................... -
Genome-Scale Models of Metabolism and Gene Expression : : Construction and Use for Growth Phenotype Prediction
UC San Diego UC San Diego Electronic Theses and Dissertations Title Genome-scale Models of Metabolism and Gene Expression : : Construction and Use for Growth Phenotype Prediction Permalink https://escholarship.org/uc/item/8zq4p227 Author Lerman, Joshua Adam Publication Date 2014 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Genome-scale Models of Metabolism and Gene Expression: Construction and Use for Growth Phenotype Prediction A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioinformatics & Systems Biology by Joshua Adam Lerman Committee in charge: Professor Bernhard Ø. Palsson, Chair Professor Milton H. Saier, Jr., Co-Chair Professor Philip E. Bourne Professor Terence Hwa Professor Victor Nizet 2014 Copyright Joshua Adam Lerman, 2014 All rights reserved. The dissertation of Joshua Adam Lerman is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California, San Diego 2014 iii DEDICATION To my mother and father, for your love, guidance, and all the sacrifices you made for Justin, Rachel, and I. To Lauren, for your love and all those times I told you, \One sec." To the loving memory of Bubby. iv EPIGRAPH Tony Stark was able to build this in a cave! WITH A BOX OF SCRAPS!! |Obadiah Stane, Iron Man v TABLE OF CONTENTS Signature Page................................. iii Dedication................................... -
Astrocytes Close the Critical Period for Visual Plasticity
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.30.321497; this version posted October 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Astrocytes close the critical period for visual plasticity 2 3 Jérôme Ribot1‡, Rachel Breton1,2,3‡#, Charles-Félix Calvo1, Julien Moulard1,4, Pascal Ezan1, 4 Jonathan Zapata1, Kevin Samama1, Alexis-Pierre Bemelmans5, Valentin Sabatet6, Florent 5 Dingli6, Damarys Loew6, Chantal Milleret1, Pierre Billuart7, Glenn Dallérac1£#, Nathalie 6 Rouach1£* 7 8 1Neuroglial Interactions in Cerebral Physiology, Center for Interdisciplinary Research in 9 Biology, Collège de France, CNRS UMR 7241, INSERM U1050, Labex Memolife, PSL 10 Research University Paris, France 11 12 2Doctoral School N°568, Paris Saclay University, PSL Research University, Le Kremlin 13 Bicetre, France 14 15 3Astrocytes & Cognition, Paris-Saclay Institute for Neurosciences, CNRS UMR 9197, Paris- 16 Saclay University, Orsay, France 17 18 4Doctoral School N°158, Sorbonne University, Paris France 19 20 5Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), Département de la 21 Recherche Fondamentale, Institut de biologie François Jacob, MIRCen, and CNRS UMR 22 9199, Université Paris-Saclay, Neurodegenerative Diseases Laboratory, Fontenay-aux-Roses, 23 France 24 25 6Institut Curie, PSL Research University, Mass Spectrometry and Proteomics Laboratory, 26 Paris, France 27 28 7Université de Paris, Institute of