Variants in the IGF2BP2, JAZF1 and CENTD2 Genes Associated with Type 2 Diabetes Susceptibility in a Romanian Cohort
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Interactome-Transcriptome Analysis Discovers Signatures
www.nature.com/scientificreports OPEN Interactome-transcriptome analysis discovers signatures complementary to GWAS Loci of Received: 26 November 2015 Accepted: 26 September 2016 Type 2 Diabetes Published: 18 October 2016 Jing-Woei Li1,2, Heung-Man Lee3,4,5, Ying Wang3,4, Amy Hin-Yan Tong4, Kevin Y. Yip1,5,6, Stephen Kwok-Wing Tsui1,2,5, Si Lok4, Risa Ozaki3,4,5, Andrea O Luk3,4,5, Alice P. S. Kong3,4,5, Wing-Yee So3,4,5, Ronald C. W. Ma3,4,5, Juliana C. N. Chan3,4,5 & Ting-Fung Chan1,5,6 Protein interactions play significant roles in complex diseases. We analyzed peripheral blood mononuclear cells (PBMC) transcriptome using a multi-method strategy. We constructed a tissue- specific interactome (T2Di) and identified 420 molecular signatures associated with T2D-related comorbidity and symptoms, mainly implicated in inflammation, adipogenesis, protein phosphorylation and hormonal secretion. Apart from explaining the residual associations within the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) study, the T2Di signatures were enriched in pathogenic cell type-specific regulatory elements related to fetal development, immunity and expression quantitative trait loci (eQTL). The T2Di revealed a novel locus near a well-established GWAS loci AChE, in which SRRT interacts with JAZF1, a T2D-GWAS gene implicated in pancreatic function. The T2Di also included known anti-diabetic drug targets (e.g. PPARD, MAOB) and identified possible druggable targets (e.g. NCOR2, PDGFR). These T2Di signatures were validated by an independent computational method, and by expression data of pancreatic islet, muscle and liver with some of the signatures (CEBPB, SREBF1, MLST8, SRF, SRRT and SLC12A9) confirmed in PBMC from an independent cohort of 66 T2D and 66 control subjects. -
An Adipocyte-Specific Lncrap2 - Igf2bp2 Complex Enhances Adipogenesis and Energy Expenditure by Stabilizing Target Mrnas
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.29.318980; this version posted September 29, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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-NC-ND 4.0 International license. An adipocyte-specific lncRAP2 - Igf2bp2 complex enhances adipogenesis and energy expenditure by stabilizing target mRNAs Juan R. Alvarez-Dominguez1,4, Sally Winther2, Jacob B. Hansen2, Harvey F. Lodish1,3,* and Marko Knoll1,5,* 1 Whitehead Institute for Biomedical Research, 455 Main Street, Cambridge, MA 02142, USA 2 Department of Biology, University of Copenhagen, Universitetsparken 13, DK-2100 Copenhagen, Denmark 3 Departments of Biology and Biological Engineering, Massachusetts Institute of Technology, 21 Ames Street, Cambridge, MA, 02142, USA 4 Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA 5 Institute for Diabetes Research, Helmholtz Zentrum München, Heidemannstrasse 1, 80939 München, Germany *correspondence: [email protected], [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.09.29.318980; this version posted September 29, 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-NC-ND 4.0 International license. Abstract lncRAP2 is a conserved cytoplasmic adipocyte-specific lncRNA required for adipogenesis. Using hybridization-based purification combined with in vivo interactome analyses, we show that lncRAP2 forms ribonucleoprotein complexes with several mRNA stability and translation modulators, among them Igf2bp2. -
Expression Signatures of the Lipid-Based Akt Inhibitors Phosphatidylinositol Ether Lipid Analogues in NSCLC Cells
Published OnlineFirst May 6, 2011; DOI: 10.1158/1535-7163.MCT-10-1028 Molecular Cancer Therapeutic Discovery Therapeutics Expression Signatures of the Lipid-Based Akt Inhibitors Phosphatidylinositol Ether Lipid Analogues in NSCLC Cells Chunyu Zhang1, Abdel G. Elkahloun2, Hongling Liao3, Shannon Delaney1, Barbara Saber1, Betsy Morrow1, George C. Prendergast4, M. Christine Hollander1, Joell J. Gills1, and Phillip A. Dennis1 Abstract Activation of the serine/threonine kinase Akt contributes to the formation, maintenance, and therapeutic resistance of cancer, which is driving development of compounds that inhibit Akt. Phosphatidylinositol ether lipid analogues (PIA) are analogues of the products of phosphoinositide-3-kinase (PI3K) that inhibit Akt activation, translocation, and the proliferation of a broad spectrum of cancer cell types. To gain insight into the mechanism of PIAs, time-dependent transcriptional profiling of five active PIAs and the PI3K inhibitor LY294002 (LY) was conducted in non–small cell lung carcinoma cells using high-density oligonucleotide arrays. Gene ontology analysis revealed that genes involved in apoptosis, wounding response, and angiogen- esis were upregulated by PIAs, whereas genes involved in DNA replication, repair, and mitosis were suppressed. Genes that exhibited early differential expression were partitioned into three groups; those induced by PIAs only (DUSP1, KLF6, CENTD2, BHLHB2, and PREX1), those commonly induced by PIAs and LY (TRIB1, KLF2, RHOB, and CDKN1A), and those commonly suppressed by PIAs and LY (IGFBP3, PCNA, PRIM1, MCM3, and HSPA1B). Increased expression of the tumor suppressors RHOB (RhoB), KLF6 (COPEB), and CDKN1A (p21Cip1/Waf1) was validated as an Akt-independent effect that contributed to PIA-induced cytotoxicity. Despite some overlap with LY, active PIAs have a distinct expression signature that contributes to their enhanced cytotoxicity. -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Novel Regulators of the IGF System in Cancer
biomolecules Review Novel Regulators of the IGF System in Cancer Caterina Mancarella 1, Andrea Morrione 2 and Katia Scotlandi 1,* 1 IRCCS Istituto Ortopedico Rizzoli, Laboratory of Experimental Oncology, 40136 Bologna, Italy; [email protected] 2 Department of Biology, Sbarro Institute for Cancer Research and Molecular Medicine and Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA; [email protected] * Correspondence: [email protected]; Tel.: +39-051-6366-760 Abstract: The insulin-like growth factor (IGF) system is a dynamic network of proteins, which includes cognate ligands, membrane receptors, ligand binding proteins and functional downstream effectors. It plays a critical role in regulating several important physiological processes including cell growth, metabolism and differentiation. Importantly, alterations in expression levels or activa- tion of components of the IGF network are implicated in many pathological conditions including diabetes, obesity and cancer initiation and progression. In this review we will initially cover some general aspects of IGF action and regulation in cancer and then focus in particular on the role of transcriptional regulators and novel interacting proteins, which functionally contribute in fine tuning IGF1R signaling in several cancer models. A deeper understanding of the biological relevance of this network of IGF1R modulators might provide novel therapeutic opportunities to block this system in neoplasia. Keywords: IGF system; cancer; transcriptional regulators; functional regulation; circular RNAs; IGF2BPs; ADAR; DDR1; E-cadherin; decorin Citation: Mancarella, C.; Morrione, A.; Scotlandi, K. Novel Regulators of the IGF System in Cancer. 1. Introduction Biomolecules 2021, 11, 273. https:// doi.org/10.3390/biom11020273 The insulin-like growth factor (IGF) system is a network of ligands, binding proteins and receptors regulating crucial physiological and pathological biological processes. -
Comparison of Expression Profiles in Ovarian Epithelium in Vivo and Ovarian Cancer Identifies Novel Candidate Genes Involved in Disease Pathogenesis
Comparison of Expression Profiles in Ovarian Epithelium In Vivo and Ovarian Cancer Identifies Novel Candidate Genes Involved in Disease Pathogenesis The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Emmanuel, Catherine, Natalie Gava, Catherine Kennedy, Rosemary L. Balleine, Raghwa Sharma, Gerard Wain, Alison Brand, et al. 2011. Comparison of expression profiles in ovarian epithelium in vivo and ovarian cancer identifies novel candidate genes involved in disease pathogenesis. PLoS ONE 6(3): e17617. Published Version doi:10.1371/journal.pone.0017617 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:5358880 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 Comparison of Expression Profiles in Ovarian Epithelium In Vivo and Ovarian Cancer Identifies Novel Candidate Genes Involved in Disease Pathogenesis Catherine Emmanuel1,2*, Natalie Gava1,2, Catherine Kennedy1,2, Rosemary L. Balleine2, Raghwa Sharma3, Gerard Wain1, Alison Brand1, Russell Hogg1, Dariush Etemadmoghadam4, Joshy George4, Australian Ovarian Cancer Study Group, Michael J. Birrer7, Christine L. Clarke2, Georgia Chenevix- Trench5, David D. L. Bowtell4,6, Paul R. Harnett1,2, Anna deFazio1,2 1 Department of Gynaecological Oncology, Westmead Hospital, Westmead, New South Wales, Australia, -
IGF2BP2-Modified Circular RNA Circarhgap12 Promotes Cervical
www.nature.com/cddiscovery ARTICLE OPEN IGF2BP2-modified circular RNA circARHGAP12 promotes cervical cancer progression by interacting m6A/FOXM1 manner ✉ ✉ Fei Ji1,2,5, Yang Lu1,5, Shaoyun Chen3,YanYu1, Xiaoling Lin4, Yuanfang Zhu1 and Xin Luo2,4 © The Author(s) 2021 Emerging evidence indicates that circular RNA (circRNA) and N6-methyladenosine (m6A) play critical roles in cervical cancer. However, the synergistic effect of circRNA and m6A on cervical cancer progression is unclear. In the present study, our sequencing data revealed that a novel m6A-modified circRNA (circARHGAP12, hsa_circ_0000231) upregulated in the cervical cancer tissue and cells. Interestingly, the m6A modification of circARHGAP12 could amplify its enrichment. Functional experiments illustrated that circARHGAP12 promoted the tumor progression of cervical cancer in vivo and vitro. Furthermore, MeRIP-Seq illustrated that there was a remarkable m6A site in FOXM1 mRNA. CircARHGAP12 interacted with m6A reader IGF2BP2 to combine with FOXM1 mRNA, thereby accelerating the stability of FOXM1 mRNA. In conclusion, we found that circARHGAP12 exerted the oncogenic role in cervical cancer progression through m6A-dependent IGF2BP2/FOXM1 pathway. These findings may provide new concepts for cervical cancer biology and pathological physiology. Cell Death Discovery (2021) 7:215 ; https://doi.org/10.1038/s41420-021-00595-w INTRODUCTION enzymes (m6A readers) could regulate the fate of m6A-containing Cervical cancer is the second most frequent malignant cancer for mRNAs, including nuclear, export, mRNA stability, and mRNA women worldwide and the third primary cause of cancer-related translation. It has been identified that m6A could regulate death in developing countries [1, 2]. Although the increasing tumorigenic progression. -
Bioinformatics Analysis of Potential Key Genes and Mechanisms in Type 2 Diabetes Mellitus Basavaraj Vastrad1, Chanabasayya Vastrad*2
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.28.437386; this version posted March 29, 2021. 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. Bioinformatics analysis of potential key genes and mechanisms in type 2 diabetes mellitus Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.03.28.437386; this version posted March 29, 2021. 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. Abstract Type 2 diabetes mellitus (T2DM) is etiologically related to metabolic disorder. The aim of our study was to screen out candidate genes of T2DM and to elucidate the underlying molecular mechanisms by bioinformatics methods. Expression profiling by high throughput sequencing data of GSE154126 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between T2DM and normal control were identified. And then, functional enrichment analyses of gene ontology (GO) and REACTOME pathway analysis was performed. Protein–protein interaction (PPI) network and module analyses were performed based on the DEGs. Additionally, potential miRNAs of hub genes were predicted by miRNet database . Transcription factors (TFs) of hub genes were detected by NetworkAnalyst database. Further, validations were performed by receiver operating characteristic curve (ROC) analysis and real-time polymerase chain reaction (RT-PCR). -
Study of Human Regulatory Mutations Associated with Pancreatic Diseases
Study of human regulatory mutations associated with pancreatic diseases by humanizing the zebrafish genome. Inês Maria Batista da Costa Mestrado em Biologia Celular e Molecular Departamento de Biologia da Faculdade de Ciências da Universidade do Porto (FCUP) Orientador José Bessa, PhD, Instituto de Investigação e Inovação em Saúde (i3S) Coorientador Chiara Perrod, PhD, Instituto de Investigação e Inovação em Saúde (i3S) 2018/19 This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Todas as correções agreement No 680156 – ZPR). determinadas pelo júri, e só essas, foram efetuadas. O Presidente do Júri, Porto, ______/______/_________ Study of human regulatory mutations associated with pancreatic diseases by humanizing the zebrafish genome. Inês Maria Batista da Costa Mestrado em Biologia Celular e Molecular Departamento de Biologia da Faculdade de Ciências da Universidade do Porto (FCUP) Orientador José Bessa, PhD, Instituto de Investigação e Inovação em Saúde (i3S) Coorientador Chiara Perrod, PhD, Instituto de Investigação e Inovação em Saúde (i3S) 2018/19 FCUP i Study of human regulatory mutations associated with pancreatic diseases by humanizing the zebrafish genome. Inês Maria Batista da Costa, BSc Mestrado em Biologia Celular e Molecular Departamento de Biologia Faculdade de Ciências da Universidade do Porto (FCUP) Rua do Campo Alegre s/n 4169-007 Porto, Portugal [email protected] / [email protected] Tel.: +351 917457361 Supervisor -
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Breeze et al. Genome Medicine (2021) 13:74 https://doi.org/10.1186/s13073-021-00877-z RESEARCH Open Access Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci Charles E. Breeze1,2,3* , Anna Batorsky4, Mi Kyeong Lee5, Mindy D. Szeto6, Xiaoguang Xu7, Daniel L. McCartney8, Rong Jiang9, Amit Patki10, Holly J. Kramer11,12, James M. Eales7, Laura Raffield13, Leslie Lange6, Ethan Lange6, Peter Durda14, Yongmei Liu15, Russ P. Tracy14,16, David Van Den Berg17, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed MESA Multi-Omics Working Group, Kathryn L. Evans8, William E. Kraus15,18, Svati Shah15,18, Hermant K. Tiwari10, Lifang Hou19,20, Eric A. Whitsel21,22, Xiao Jiang7, Fadi J. Charchar23,24,25, Andrea A. Baccarelli26, Stephen S. Rich27, Andrew P. Morris28, Marguerite R. Irvin29, Donna K. Arnett30, Elizabeth R. Hauser15,31, Jerome I. Rotter32, Adolfo Correa33, Caroline Hayward34, Steve Horvath35,36, Riccardo E. Marioni8, Maciej Tomaszewski7,37, Stephan Beck2, Sonja I. Berndt1, Stephanie J. London5, Josyf C. Mychaleckyj27 and Nora Franceschini21* Abstract Background: DNA methylation (DNAm) is associated with gene regulation and estimated glomerular filtration rate (eGFR), a measure of kidney function. Decreased eGFR is more common among US Hispanics and African Americans. The causes for this are poorly understood. We aimed to identify trans-ethnic and ethnic-specific differentially methylated positions (DMPs) associated with eGFR using an agnostic, genome-wide approach. Methods: The study included up to 5428 participants from multi-ethnic studies for discovery and 8109 participants for replication. We tested the associations between whole blood DNAm and eGFR using beta values from Illumina 450K or EPIC arrays. -
Laser Capture Microdissection of Human Pancreatic Islets Reveals Novel Eqtls Associated with Type 2 Diabetes
Original Article Laser capture microdissection of human pancreatic islets reveals novel eQTLs associated with type 2 diabetes Amna Khamis 1,2,11, Mickaël Canouil 2,11, Afshan Siddiq 1, Hutokshi Crouch 1, Mario Falchi 1, Manon von Bulow 3, Florian Ehehalt 4,5,6, Lorella Marselli 7, Marius Distler 4,5,6, Daniela Richter 5,6, Jürgen Weitz 4,5,6, Krister Bokvist 8, Ioannis Xenarios 9, Bernard Thorens 10, Anke M. Schulte 3, Mark Ibberson 9, Amelie Bonnefond 2, Piero Marchetti 7, Michele Solimena 5,6, Philippe Froguel 1,2,* ABSTRACT Objective: Genome wide association studies (GWAS) for type 2 diabetes (T2D) have identified genetic loci that often localise in non-coding regions of the genome, suggesting gene regulation effects. We combined genetic and transcriptomic analysis from human islets obtained from brain-dead organ donors or surgical patients to detect expression quantitative trait loci (eQTLs) and shed light into the regulatory mechanisms of these genes. Methods: Pancreatic islets were isolated either by laser capture microdissection (LCM) from surgical specimens of 103 metabolically phe- notyped pancreatectomized patients (PPP) or by collagenase digestion of pancreas from 100 brain-dead organ donors (OD). Genotyping (> 8.7 million single nucleotide polymorphisms) and expression (> 47,000 transcripts and splice variants) analyses were combined to generate cis- eQTLs. Results: After applying genome-wide false discovery rate significance thresholds, we identified 1,173 and 1,021 eQTLs in samples of OD and PPP, e respectively. Among the strongest eQTLs shared between OD and PPP were CHURC1 (OD p-value¼1.71 Â 10-24;PPPp-value ¼ 3.64 Â 10 24)and À À PSPH (OD p-value ¼ 3.92 Â 10 26;PPPp-value ¼ 3.64 Â 10 24). -
Diana Maria De Figueiredo Pinto Marcadores Moleculares Para A
Universidade de Aveiro Departamento de Química 2015 Diana Maria de Marcadores moleculares para a Nefropatia Figueiredo Pinto Diabética Molecular markers for Diabetic Nephropathy Universidade de Aveiro Departamento de Química 2015 Diana Maria de Marcadores moleculares para a Nefropatia Diabética Figueiredo Pinto Molecular markers for Diabetic Nephropathy Dissertação apresentada à Universidade de Aveiro para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Bioquímica, ramo de Bioquímica Clínica, realizada sob a orientação científica da Doutora Maria Conceição Venâncio Egas, investigadora do Centro de Neurociências e Biologia Celular da Universidade de Coimbra, e da Doutora Rita Maria Pinho Ferreira, professora auxiliar do Departamento de Química da Universidade de Aveiro. Este trabalho foi efetuado no âmbito do programa COMPETE, através do projeto DoIT – Desenvolvimento e Operacionalização da Investigação de Translação, ref: FCOMP-01-0202-FEDER- 013853. o júri presidente Prof. Francisco Manuel Lemos Amado professor associado do Departamento de Química da Universidade de Aveiro Doutora Maria do Rosário Pires Maia Neves Almeida investigadora do Centro de Neurociências e Biologia Celular da Universidade de Coimbra Doutora Maria Conceição Venâncio Egas investigadora do Centro de Neurociências e Biologia Celular da Universidade de Coimbra Agradecimentos Em primeiro lugar quero expressar o meu agradecimento à Doutora Conceição Egas, orientadora desta dissertação, pelo seu apoio, palavras de incentivo e disponibilidade demonstrada em todas as fases que levaram à concretização do presente trabalho. Obrigada pelo saber transmitido, que tanto contribuiu para elevar os meus conhecimentos científicos, assim como pela oportunidade de integrar o seu grupo de investigação. O seu apoio e sugestões foram determinantes para a realização deste estudo.