Aberrant Methylation Underlies Insulin Gene Expression in Human Insulinoma

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https://doi.org/10.1038/s41467-020-18839-1

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  • Original Article Correlation Between LSP1 Polymorphisms and the Susceptibility to Breast Cancer

    Original Article Correlation Between LSP1 Polymorphisms and the Susceptibility to Breast Cancer

    Int J Clin Exp Pathol 2015;8(5):5798-5802 www.ijcep.com /ISSN:1936-2625/IJCEP0005835 Original Article Correlation between LSP1 polymorphisms and the susceptibility to breast cancer Hai Chen, Xiaodong Qi, Ping Qiu, Jiali Zhao Department of Galactophore, The General Hospital of Beijing Military Command, Beijing, China Received January 12, 2015; Accepted March 16, 2015; Epub May 1, 2015; Published May 15, 2015 Abstract: Objective: The present study aimed at assessing the relationship between Leukocyte-specific protein 1 gene (LSP1) polymorphisms (rs569550 and rs592373) and the pathogenesis of breast cancer (BC). Methods: 70 BC patients and 72 healthy subjects were enrolled in the study. Rs569550 and rs592373 polymorphisms were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Odds ratio (OR) with 95% confidence interval (CI) were calculated by the chi-squared test to assess the relationship between LSP1 polymorphisms and BC risk. Linkage disequilibrium (LD) and haplotypes were also analyzed by HaploView software. Results: Genotype distribution of the control was in accordance with Hardy-Weinberg equilibrium (HWE). The homo- zygous genotype TT and T allele of rs569550 could significantly increase the risk of BC (TT vs. GG: OR=3.17, 95% CI=1.23-8.91; T vs. G: OR=1.63, 95% CI=1.01-2.64). For rs592373, mutation homozygous genotype CC and C allele were significantly associated with BC susceptibility (CC vs. TT: OR=4.45, 95% CI=1.38-14.8; C vs. T: OR=1.70, 95% CI=1.03-2.81). LD and haplotypes analysis of rs569550 and rs592373 polymorphisms showed that T-C haplotype was a risk factor for BC (T-C vs.
  • Meta-Analysis of Nasopharyngeal Carcinoma

    Meta-Analysis of Nasopharyngeal Carcinoma

    BMC Genomics BioMed Central Research article Open Access Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation Xia Chen†1,2, Shuang Liang†1, WenLing Zheng1,3, ZhiJun Liao1, Tao Shang1 and WenLi Ma*1 Address: 1Institute of Genetic Engineering, Southern Medical University, Guangzhou, PR China, 2Xiangya Pingkuang associated hospital, Pingxiang, Jiangxi, PR China and 3Southern Genomics Research Center, Guangzhou, Guangdong, PR China Email: Xia Chen - [email protected]; Shuang Liang - [email protected]; WenLing Zheng - [email protected]; ZhiJun Liao - [email protected]; Tao Shang - [email protected]; WenLi Ma* - [email protected] * Corresponding author †Equal contributors Published: 7 July 2008 Received: 16 February 2008 Accepted: 7 July 2008 BMC Genomics 2008, 9:322 doi:10.1186/1471-2164-9-322 This article is available from: http://www.biomedcentral.com/1471-2164/9/322 © 2008 Chen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Epstein-Barr virus (EBV) presumably plays an important role in the pathogenesis of nasopharyngeal carcinoma (NPC), but the molecular mechanism of EBV-dependent neoplastic transformation is not well understood. The combination of bioinformatics with evidences from biological experiments paved a new way to gain more insights into the molecular mechanism of cancer. Results: We profiled gene expression using a meta-analysis approach. Two sets of meta-genes were obtained. Meta-A genes were identified by finding those commonly activated/deactivated upon EBV infection/reactivation.
  • The Mutational Landscape of Myeloid Leukaemia in Down Syndrome

    The Mutational Landscape of Myeloid Leukaemia in Down Syndrome

    cancers Review The Mutational Landscape of Myeloid Leukaemia in Down Syndrome Carini Picardi Morais de Castro 1, Maria Cadefau 1,2 and Sergi Cuartero 1,2,* 1 Josep Carreras Leukaemia Research Institute (IJC), Campus Can Ruti, 08916 Badalona, Spain; [email protected] (C.P.M.d.C); [email protected] (M.C.) 2 Germans Trias i Pujol Research Institute (IGTP), Campus Can Ruti, 08916 Badalona, Spain * Correspondence: [email protected] Simple Summary: Leukaemia occurs when specific mutations promote aberrant transcriptional and proliferation programs, which drive uncontrolled cell division and inhibit the cell’s capacity to differentiate. In this review, we summarize the most frequent genetic lesions found in myeloid leukaemia of Down syndrome, a rare paediatric leukaemia specific to individuals with trisomy 21. The evolution of this disease follows a well-defined sequence of events and represents a unique model to understand how the ordered acquisition of mutations drives malignancy. Abstract: Children with Down syndrome (DS) are particularly prone to haematopoietic disorders. Paediatric myeloid malignancies in DS occur at an unusually high frequency and generally follow a well-defined stepwise clinical evolution. First, the acquisition of mutations in the GATA1 transcription factor gives rise to a transient myeloproliferative disorder (TMD) in DS newborns. While this condition spontaneously resolves in most cases, some clones can acquire additional mutations, which trigger myeloid leukaemia of Down syndrome (ML-DS). These secondary mutations are predominantly found in chromatin and epigenetic regulators—such as cohesin, CTCF or EZH2—and Citation: de Castro, C.P.M.; Cadefau, in signalling mediators of the JAK/STAT and RAS pathways.
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus

    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.
  • Research Article Characterization, Tissue Expression, and Imprinting Analysis of the Porcine CDKN1C and NAP1L4 Genes

    Research Article Characterization, Tissue Expression, and Imprinting Analysis of the Porcine CDKN1C and NAP1L4 Genes

    Hindawi Publishing Corporation Journal of Biomedicine and Biotechnology Volume 2012, Article ID 946527, 7 pages doi:10.1155/2012/946527 Research Article Characterization, Tissue Expression, and Imprinting Analysis of the Porcine CDKN1C and NAP1L4 Genes Shun Li,1 Juan Li,1 Jiawei Tian,1 Ranran Dong,1 Jin Wei,1 Xiaoyan Qiu,2 and Caode Jiang2 1 School of Life Science, Southwest University, Chongqing 400715, China 2 College of Animal Science and Technology, Southwest University, Chongqing 400715, China Correspondence should be addressed to Caode Jiang, [email protected] Received 4 August 2011; Revised 25 October 2011; Accepted 15 November 2011 Academic Editor: Andre Van Wijnen Copyright © 2012 Shun Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. CDKN1C and NAP1L4 in human CDKN1C/KCNQ1OT1 imprinted domain are two key candidate genes responsible for BWS (Beckwith-Wiedemann syndrome) and cancer. In order to increase understanding of these genes in pigs, their cDNAs are characterized in this paper. By the IMpRH panel, porcine CDKN1C and NAP1L4 genes were assigned to porcine chromosome 2, closely linked with IMpRH06175 and with LOD of 15.78 and 17.94, respectively. By real-time quantitative RT-PCR and polymorphism-based method, tissue and allelic expression of both genes were determined using F1 pigs of Rongchang and Landrace reciprocal crosses. The transcription levels of porcine CDKN1C and NAP1L4 were significantly higher in placenta than in other neonatal tissues (P<0.01) although both genes showed the highest expression levels in the lung and kidney of one- month pigs (P<0.01).
  • Genome-Wide Analysis Identifies Bcl6-Controlled Regulatory

    Genome-Wide Analysis Identifies Bcl6-Controlled Regulatory

    Article Genome-wide Analysis Identifies Bcl6-Controlled Regulatory Networks during T Follicular Helper Cell Differentiation Graphical Abstract Authors Xindong Liu, Huiping Lu, Tingting Chen, ..., Wei Jin, Lai Wei, Chen Dong Correspondence [email protected] (L.W.), [email protected] (C.D.) In Brief Liu et al. examine the roles of Bcl6 during Tfh cell programming and find that Bcl6 binding to chromatin is associated with decreased 5hmC. Bcl6 directs Tfh development, at least in part, through antagonizing the IL-7R/STAT5 axis. Highlights Accession Numbers d Bcl6 exhibits specific binding in mouse Tfh cells GSE72188 d Bcl6 binding correlates with decreased 5hmC d Bcl6 and STAT5 target the same binding sites d Bcl6 suppresses the IL-7R/STAT5 axis during Tfh cell generation Liu et al., 2016, Cell Reports 14, 1735–1747 February 23, 2016 ª2016 The Authors http://dx.doi.org/10.1016/j.celrep.2016.01.038 Cell Reports Article Genome-wide Analysis Identifies Bcl6-Controlled Regulatory Networks during T Follicular Helper Cell Differentiation Xindong Liu,1,2 Huiping Lu,1 Tingting Chen,3 Kalyan C. Nallaparaju,4 Xiaowei Yan,5 Shinya Tanaka,6 Kenji Ichiyama,4 Xia Zhang,2 Li Zhang,7 Xiaofeng Wen,3 Qiang Tian,5 Xiu-wu Bian,2 Wei Jin,1 Lai Wei,3,* and Chen Dong1,* 1Tsinghua University Institute for Immunology and School of Medicine, Beijing 100084, China 2Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University, Chongqing 400038, China 3State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center,