The Effect of Hypoxia on Alternative Splicing in Prostate Cancer Cell Lines Elizabeth Bowler
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Sex-Specific Hippocampal 5-Hydroxymethylcytosine Is Disrupted in Response to Acute Stress Ligia A
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications, Department of Statistics Statistics, Department of 2016 Sex-specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress Ligia A. Papale University of Wisconsin, [email protected] Sisi Li University of Wisconsin, [email protected] Andy Madrid University of Wisconsin, [email protected] Qi Zhang University of Nebraska-Lincoln, [email protected] Li Chen Emory University See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/statisticsfacpub Part of the Other Statistics and Probability Commons Papale, Ligia A.; Li, Sisi; Madrid, Andy; Zhang, Qi; Chen, Li; Chopra, Pankaj; Jin, Peng; Keles, Sunduz; and Alisch, Reid S., "Sex- specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress" (2016). Faculty Publications, Department of Statistics. 62. https://digitalcommons.unl.edu/statisticsfacpub/62 This Article is brought to you for free and open access by the Statistics, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications, Department of Statistics by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors Ligia A. Papale, Sisi Li, Andy Madrid, Qi Zhang, Li Chen, Pankaj Chopra, Peng Jin, Sunduz Keles, and Reid S. Alisch This article is available at DigitalCommons@University of Nebraska - Lincoln: https://digitalcommons.unl.edu/statisticsfacpub/62 Neurobiology of Disease 96 (2016) 54–66 Contents lists available at ScienceDirect Neurobiology of Disease journal homepage: www.elsevier.com/locate/ynbdi Sex-specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress Ligia A. Papale a,1,SisiLia,c,1, Andy Madrid a,c,QiZhangd,LiChene,PankajChoprae,PengJine, Sündüz Keleş b, Reid S. -
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. -
Tyson Goldberg Et Al-2015-Development-1267-78
© 2015. Published by The Company of Biologists Ltd | Development (2015) 142, 1267-1278 doi:10.1242/dev.111526 RESEARCH ARTICLE STEM CELLS AND REGENERATION Duration of culture and sonic hedgehog signaling differentially specify PV versus SST cortical interneuron fates from embryonic stem cells Jennifer A. Tyson1,2, Ethan M. Goldberg3,4, Asif M. Maroof5, Qing Xu6, Timothy J. Petros7 and Stewart A. Anderson1,* ABSTRACT dysfunction is associated with a variety of neurological diseases, Medial ganglionic eminence (MGE)-derived GABAergic cortical including seizure disorders, schizophrenia and autism (Belforte et al., interneurons (cINs) consist of multiple subtypes that are involved in 2010; Chao et al., 2010; Inan et al., 2013). Interneurons are classified many cortical functions. They also have a remarkable capacity to into functionally distinct subgroups based on neurochemical markers, migrate, survive and integrate into cortical circuitry after transplantation connectivity profiles and electrophysiological properties (DeFelipe into postnatal cortex. These features have engendered considerable et al., 2013), with specific subtypes being implicated in different interest in generating distinct subgroups of interneurons from pluripotent disease etiologies (Binaschi et al., 2003; Levitt et al., 2004; Inan et al., stem cells (PSCs) for the study of interneuron fate and function, and for 2013; Jiang et al., 2013; Smith-Hicks, 2013). Genetic fate mapping the development of cell-based therapies. Although advances have been and transplantation studies -
Genome-Wide Transcriptional Sequencing Identifies Novel Mutations in Metabolic Genes in Human Hepatocellular Carcinoma DAOUD M
CANCER GENOMICS & PROTEOMICS 11 : 1-12 (2014) Genome-wide Transcriptional Sequencing Identifies Novel Mutations in Metabolic Genes in Human Hepatocellular Carcinoma DAOUD M. MEERZAMAN 1,2 , CHUNHUA YAN 1, QING-RONG CHEN 1, MICHAEL N. EDMONSON 1, CARL F. SCHAEFER 1, ROBERT J. CLIFFORD 2, BARBARA K. DUNN 3, LI DONG 2, RICHARD P. FINNEY 1, CONSTANCE M. CULTRARO 2, YING HU1, ZHIHUI YANG 2, CU V. NGUYEN 1, JENNY M. KELLEY 2, SHUANG CAI 2, HONGEN ZHANG 2, JINGHUI ZHANG 1,4 , REBECCA WILSON 2, LAUREN MESSMER 2, YOUNG-HWA CHUNG 5, JEONG A. KIM 5, NEUNG HWA PARK 6, MYUNG-SOO LYU 6, IL HAN SONG 7, GEORGE KOMATSOULIS 1 and KENNETH H. BUETOW 1,2 1Center for Bioinformatics and Information Technology, National Cancer Institute, Rockville, MD, U.S.A.; 2Laboratory of Population Genetics, National Cancer Institute, National Cancer Institute, Bethesda, MD, U.S.A.; 3Basic Prevention Science Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, U.S.A; 4Department of Biotechnology/Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN, U.S.A.; 5Department of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; 6Department of Internal Medicine, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Korea; 7Department of Internal Medicine, College of Medicine, Dankook University, Cheon-An, Korea Abstract . We report on next-generation transcriptome Worldwide, liver cancer is the fifth most common cancer and sequencing results of three human hepatocellular carcinoma the third most common cause of cancer-related mortality (1). tumor/tumor-adjacent pairs. -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family. -
Identification of Novel Genes in Human Airway Epithelial Cells Associated with Chronic Obstructive Pulmonary Disease (COPD) Usin
www.nature.com/scientificreports OPEN Identifcation of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Received: 6 July 2018 Accepted: 7 October 2018 Pulmonary Disease (COPD) using Published: xx xx xxxx Machine-Based Learning Algorithms Shayan Mostafaei1, Anoshirvan Kazemnejad1, Sadegh Azimzadeh Jamalkandi2, Soroush Amirhashchi 3, Seamas C. Donnelly4,5, Michelle E. Armstrong4 & Mohammad Doroudian4 The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers and 21 COPD smokers (9 GOLD stage I and 12 GOLD stage II) were included (n = 133). 20,097 probes were generated from a small airway epithelium (SAE) microarray dataset obtained from these subjects previously. Subsequently, the association between gene expression levels and smoking and COPD, respectively, was assessed using: AdaBoost Classifcation Trees, Decision Tree, Gradient Boosting Machines, Naive Bayes, Neural Network, Random Forest, Support Vector Machine and adaptive LASSO, Elastic-Net, and Ridge logistic regression analyses. Using this methodology, we identifed 44 candidate genes, 27 of these genes had been previously been reported as important factors in the pathogenesis of COPD or regulation of lung function. Here, we also identifed 17 genes, which have not been previously identifed to be associated with the pathogenesis of COPD or the regulation of lung function. The most signifcantly regulated of these genes included: PRKAR2B, GAD1, LINC00930 and SLITRK6. These novel genes may provide the basis for the future development of novel therapeutics in COPD and its associated morbidities. -
Fig1-13Tab1-5.Pdf
Supplementary Information Promoter hypomethylation of EpCAM-regulated bone morphogenetic protein genes in advanced endometrial cancer Ya-Ting Hsu, Fei Gu, Yi-Wen Huang, Joseph Liu, Jianhua Ruan, Rui-Lan Huang, Chiou-Miin Wang, Chun-Liang Chen, Rohit R. Jadhav, Hung-Cheng Lai, David G. Mutch, Paul J. Goodfellow, Ian M. Thompson, Nameer B. Kirma, and Tim Hui-Ming Huang Tables of contents Page Table of contents 2 Supplementary Methods 4 Supplementary Figure S1. Summarized sequencing reads and coverage of MBDCap-seq 8 Supplementary Figure S2. Reproducibility test of MBDCap-seq 10 Supplementary Figure S3. Validation of MBDCap-seq by MassARRAY analysis 11 Supplementary Figure S4. Distribution of differentially methylated regions (DMRs) in endometrial tumors relative to normal control 12 Supplementary Figure S5. Network analysis of differential methylation loci by using Steiner-tree analysis 13 Supplementary Figure S6. DNA methylation distribution in early and late stage of the TCGA endometrial cancer cohort 14 Supplementary Figure S7. Relative expression of BMP genes with EGF treatment in the presence or absence of PI3K/AKT and Raf (MAPK) inhibitors in endometrial cancer cells 15 Supplementary Figure S8. Induction of invasion by EGF in AN3CA and HEC1A cell lines 16 Supplementary Figure S9. Knockdown expression of BMP4 and BMP7 in RL95-2 cells 17 Supplementary Figure S10. Relative expression of BMPs and BMPRs in normal endometrial cell and endometrial cancer cell lines 18 Supplementary Figure S11. Microfluidics-based PCR analysis of EMT gene panel in RL95-2 cells with or without EGF treatment 19 Supplementary Figure S12. Knockdown expression of EpCAM by different shRNA sequences in RL95-2 cells 20 Supplementary Figure S13. -
Identification of Candidate Biomarkers and Pathways Associated with Type 1 Diabetes Mellitus Using Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.08.447531; this version posted June 9, 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. Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis 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/10.1101/2021.06.08.447531; this version posted June 9, 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 1 diabetes mellitus (T1DM) is a metabolic disorder for which the underlying molecular mechanisms remain largely unclear. This investigation aimed to elucidate essential candidate genes and pathways in T1DM by integrated bioinformatics analysis. In this study, differentially expressed genes (DEGs) were analyzed using DESeq2 of R package from GSE162689 of the Gene Expression Omnibus (GEO). Gene ontology (GO) enrichment analysis, REACTOME pathway enrichment analysis, and construction and analysis of protein-protein interaction (PPI) network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network, and validation of hub genes were then performed. A total of 952 DEGs (477 up regulated and 475 down regulated genes) were identified in T1DM. GO and REACTOME enrichment result results showed that DEGs mainly enriched in multicellular organism development, detection of stimulus, diseases of signal transduction by growth factor receptors and second messengers, and olfactory signaling pathway. -
Genetic Identification of Brain Cell Types Underlying Schizophrenia
bioRxiv preprint doi: https://doi.org/10.1101/145466; this version posted June 2, 2017. 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. Genetic identification of brain cell types underlying schizophrenia Nathan G. Skene 1 †, Julien Bryois 2 †, Trygve E. Bakken3, Gerome Breen 4,5, James J Crowley 6, Héléna A Gaspar 4,5, Paola Giusti-Rodriguez 6, Rebecca D Hodge3, Jeremy A. Miller 3, Ana Muñoz-Manchado 1, Michael C O’Donovan 7, Michael J Owen 7, Antonio F Pardiñas 7, Jesper Ryge 8, James T R Walters 8, Sten Linnarsson 1, Ed S. Lein 3, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Patrick F Sullivan 2,6 *, Jens Hjerling- Leffler 1 * Affiliations: 1 Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17177 Stockholm, Sweden. 2 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-17177 Stockholm, Sweden. 3 Allen Institute for Brain Science, Seattle, Washington 98109, USA. 4 King’s College London, Institute of Psychiatry, Psychology and Neuroscience, MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK. 5 National Institute for Health Research Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, UK. 6 Departments of Genetics, University of North Carolina, Chapel Hill, NC, 27599-7264, USA. 7 MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK. -
Characterization at the Molecular Level Using Robust Biochemical Approaches of a New Kinase Protein Béatrice Vallée, Michel Doudeau, Fabienne Godin, Hélène Bénédetti
Characterization at the Molecular Level using Robust Biochemical Approaches of a New Kinase Protein Béatrice Vallée, Michel Doudeau, Fabienne Godin, Hélène Bénédetti To cite this version: Béatrice Vallée, Michel Doudeau, Fabienne Godin, Hélène Bénédetti. Characterization at the Molec- ular Level using Robust Biochemical Approaches of a New Kinase Protein. Journal of visualized experiments : JoVE, JoVE, 2019, pp.e59820. 10.3791/59820. hal-02282630 HAL Id: hal-02282630 https://hal.archives-ouvertes.fr/hal-02282630 Submitted on 17 Jun 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Characterization at the Molecular Level using Robust Biochemical Approaches of a New Kinase Protein AUTHORS 1 1 1 1 Béatrice Vallée M Michel Doudeau F Fabienne Godin Hélène Bénédetti AFFILIATIONS 1 Centre de Biophysique Moléculaire, CNRS, UPR 4301, University of Orléans and INSERM CORRESPONDING AUTHOR Béatrice Vallée [email protected] Abstract actosidase-based-screening-assay-for-identification Extensive whole genome sequencing has identified many engineered to its sequence or via an antibody specifically Open Reading Frames (ORFs) providing many potential targeting it. These protein complexes may then be separated proteins. These proteins may have important roles for the by SDS-PAGE (Sodium Dodecyl Sulfate PolyAcrylamide Gel) cell and may unravel new cellular processes. -
Global Genomic and Transcriptomic Analysis of Human Pancreatic Islets Reveals Novel Genes Influencing Glucose Metabolism
Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism João Fadistaa,1, Petter Vikmana, Emilia Ottosson Laaksoa, Inês Guerra Molleta, Jonathan Lou Esguerraa, Jalal Taneeraa, Petter Storma, Peter Osmarka, Claes Ladenvalla, Rashmi B. Prasada, Karin B. Hanssona, Francesca Finotellob, Kristina Uvebranta, Jones K. Oforia, Barbara Di Camillob, Ulrika Krusa, Corrado M. Cilioa, Ola Hanssona, Lena Eliassona, Anders H. Rosengrena, Erik Renströma, Claes B. Wollheima,c, and Leif Groopa,1 aLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden; bDepartment of Information Engineering, University of Padova, 35131 Padova, Italy; and cDepartment of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva 4, Switzerland Edited by Tak W. Mak, The Campbell Family Institute for Breast Cancer Research at Princess Margaret Cancer Centre, Ontario Cancer Institute, University Health Network, Toronto, Canada, and approved August 14, 2014 (received for review February 11, 2014) Genetic variation can modulate gene expression, and thereby pheno- Results typic variation and susceptibility to complex diseases such as type 2 Genes Showing Differential Expression Between Islets from diabetes (T2D). Here we harnessed the potential of DNA and RNA Normoglycemic and Hyperglycemic Donors. To obtain a profile of sequencing in human pancreatic islets from 89 deceased donors to gene expression variation in human islets, we sequenced the poly- identify genes of potential importance in the pathogenesis of T2D. We adenylated fraction of RNA from 89 individuals with different present a catalog of genetic variants regulating gene expression degrees of glucose tolerance, using 101 base pairs paired-end on an (eQTL) and exon use (sQTL), including many long noncoding RNAs, Illumina HiSeq sequencer (Dataset S1 and SI Appendix,Fig.S1). -
Discovery and Evaluation of Inhibitor of LARP6 As Specific Antifibrotic
www.nature.com/scientificreports OPEN Discovery and evaluation of inhibitor of LARP6 as specifc antifbrotic compound Received: 6 August 2018 Branko Stefanovic1, Zarko Manojlovic2, Cynthia Vied 3, Crystal-Dawn Badger3,4 & Accepted: 27 November 2018 Lela Stefanovic1 Published: xx xx xxxx Fibrosis is characterized by excessive production of type I collagen. Biosynthesis of type I collagen in fbrosis is augmented by binding of protein LARP6 to the 5′ stem-loop structure (5′SL), which is found exclusively in type I collagen mRNAs. A high throughput screen was performed to discover inhibitors of LARP6 binding to 5′SL, as potential antifbrotic drugs. The screen yielded one compound (C9) which was able to dissociate LARP6 from 5′ SL RNA in vitro and to inactivate the binding of endogenous LARP6 in cells. Treatment of hepatic stellate cells (liver cells responsible for fbrosis) with nM concentrations of C9 reduced secretion of type I collagen. In precision cut liver slices, as an ex vivo model of hepatic fbrosis, C9 attenuated the profbrotic response at 1 μM. In prophylactic and therapeutic animal models of hepatic fbrosis C9 prevented development of fbrosis or hindered the progression of ongoing fbrosis when administered at 1 mg/kg. Toxicogenetics analysis revealed that only 42 liver genes changed expression after administration of C9 for 4 weeks, suggesting minimal of target efects. Based on these results, C9 represents the frst LARP6 inhibitor with signifcant antifbrotic activity. Fibrosis is characterized by excessive synthesis of type I collagen in various organs and major complications of fbrosis are direct result of massive deposition of type I collagen in the extracellular matrix1,2.