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Supplementary Information Estrogen-mediated Epigenetic Repression of Large Chromosomal Regions through DNA Looping Pei-Yin Hsu, Hang-Kai Hsu, Gregory A. C. Singer, Pearlly S. Yan, Benjamin A. T. Rodriguez, Joseph C. Liu, Yu-I Weng, Daniel E. Deatherage, Zhong Chen, Julia S. Pereira, Ricardo Lopez, Jose Russo, Qianben Wang, Coral A. Lamartiniere, Kenneth P. Nephew, and Tim H.-M. Huang S1 Method Immunofluorescence staining Approximately 2,000 mammosphere-derived epithelial cells (MDECs) cells seeded collagen I-coated coverslips were fixed with methanol/acetone for 10 min. After blocking with 2.5% bovine serum albumin (Sigma) for 1 hr, these cells were incubated with anti-ESR1 antibody (Santa Cruz) overnight at 4˚C. The corresponding secondary FITC-conjugated antibody was applied followed by DAPI staining (Molecular Probes) for the nuclei. Photographs were captured by Zeiss fluorescence microscopy (Zeiss). The percentages of ESR1 subcellular localization were calculated in ten different optical fields (~10 cells per field) by two independent researchers. References Carroll, J.S., Meyer, C.A., Song, J., Li, W., Geistlinger, T.R., Eeckhoute, J., Brodsky, A.S., Keeton, E.K., Fertuck, K.C., Hall, G.F., et al. 2006. Genome-wide analysis of estrogen receptor binding sites. Nat. Genet. 38: 1289-1297. Neve, R.M., Chin, K., Fridlyand, J., Yeh, J., Baehner, F.L., Fevr, T., Clark, L., Bayani, N., Coppe, J.P., Tong, F., et al. 2006. A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes. Cancer Cell 10: 515-527. S2 Hsu et al. Supplementary Information A Figure S1. Integrative mapping of large genomic regions subjected to ERα-mediated epigenetic repression. -
Exploring Autophagy with Gene Ontology
Autophagy ISSN: 1554-8627 (Print) 1554-8635 (Online) Journal homepage: https://www.tandfonline.com/loi/kaup20 Exploring autophagy with Gene Ontology Paul Denny, Marc Feuermann, David P. Hill, Ruth C. Lovering, Helene Plun- Favreau & Paola Roncaglia To cite this article: Paul Denny, Marc Feuermann, David P. Hill, Ruth C. Lovering, Helene Plun- Favreau & Paola Roncaglia (2018) Exploring autophagy with Gene Ontology, Autophagy, 14:3, 419-436, DOI: 10.1080/15548627.2017.1415189 To link to this article: https://doi.org/10.1080/15548627.2017.1415189 © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. View supplementary material Published online: 17 Feb 2018. Submit your article to this journal Article views: 1097 View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=kaup20 AUTOPHAGY, 2018 VOL. 14, NO. 3, 419–436 https://doi.org/10.1080/15548627.2017.1415189 RESEARCH PAPER - BASIC SCIENCE Exploring autophagy with Gene Ontology Paul Denny a,†,§, Marc Feuermann b,§, David P. Hill c,f,§, Ruth C. Lovering a,§, Helene Plun-Favreau d and Paola Roncaglia e,f,§ aFunctional Gene Annotation, Institute of Cardiovascular Science, University College London, London, UK; bSIB Swiss Institute of Bioinformatics, Geneva, Switzerland; cThe Jackson Laboratory, Bar Harbor, ME, USA; dDepartment of Molecular Neuroscience, UCL Institute of Neurology, London, UK; eEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, Cambridge, UK; fThe Gene Ontology Consortium ABSTRACT ARTICLE HISTORY Autophagy is a fundamental cellular process that is well conserved among eukaryotes. It is one of the Received 18 May 2017 strategies that cells use to catabolize substances in a controlled way. -
The Genetics of Bipolar Disorder
Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF. -
Agricultural University of Athens
ΓΕΩΠΟΝΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΑΘΗΝΩΝ ΣΧΟΛΗ ΕΠΙΣΤΗΜΩΝ ΤΩΝ ΖΩΩΝ ΤΜΗΜΑ ΕΠΙΣΤΗΜΗΣ ΖΩΙΚΗΣ ΠΑΡΑΓΩΓΗΣ ΕΡΓΑΣΤΗΡΙΟ ΓΕΝΙΚΗΣ ΚΑΙ ΕΙΔΙΚΗΣ ΖΩΟΤΕΧΝΙΑΣ ΔΙΔΑΚΤΟΡΙΚΗ ΔΙΑΤΡΙΒΗ Εντοπισμός γονιδιωματικών περιοχών και δικτύων γονιδίων που επηρεάζουν παραγωγικές και αναπαραγωγικές ιδιότητες σε πληθυσμούς κρεοπαραγωγικών ορνιθίων ΕΙΡΗΝΗ Κ. ΤΑΡΣΑΝΗ ΕΠΙΒΛΕΠΩΝ ΚΑΘΗΓΗΤΗΣ: ΑΝΤΩΝΙΟΣ ΚΟΜΙΝΑΚΗΣ ΑΘΗΝΑ 2020 ΔΙΔΑΚΤΟΡΙΚΗ ΔΙΑΤΡΙΒΗ Εντοπισμός γονιδιωματικών περιοχών και δικτύων γονιδίων που επηρεάζουν παραγωγικές και αναπαραγωγικές ιδιότητες σε πληθυσμούς κρεοπαραγωγικών ορνιθίων Genome-wide association analysis and gene network analysis for (re)production traits in commercial broilers ΕΙΡΗΝΗ Κ. ΤΑΡΣΑΝΗ ΕΠΙΒΛΕΠΩΝ ΚΑΘΗΓΗΤΗΣ: ΑΝΤΩΝΙΟΣ ΚΟΜΙΝΑΚΗΣ Τριμελής Επιτροπή: Aντώνιος Κομινάκης (Αν. Καθ. ΓΠΑ) Ανδρέας Κράνης (Eρευν. B, Παν. Εδιμβούργου) Αριάδνη Χάγερ (Επ. Καθ. ΓΠΑ) Επταμελής εξεταστική επιτροπή: Aντώνιος Κομινάκης (Αν. Καθ. ΓΠΑ) Ανδρέας Κράνης (Eρευν. B, Παν. Εδιμβούργου) Αριάδνη Χάγερ (Επ. Καθ. ΓΠΑ) Πηνελόπη Μπεμπέλη (Καθ. ΓΠΑ) Δημήτριος Βλαχάκης (Επ. Καθ. ΓΠΑ) Ευάγγελος Ζωίδης (Επ.Καθ. ΓΠΑ) Γεώργιος Θεοδώρου (Επ.Καθ. ΓΠΑ) 2 Εντοπισμός γονιδιωματικών περιοχών και δικτύων γονιδίων που επηρεάζουν παραγωγικές και αναπαραγωγικές ιδιότητες σε πληθυσμούς κρεοπαραγωγικών ορνιθίων Περίληψη Σκοπός της παρούσας διδακτορικής διατριβής ήταν ο εντοπισμός γενετικών δεικτών και υποψηφίων γονιδίων που εμπλέκονται στο γενετικό έλεγχο δύο τυπικών πολυγονιδιακών ιδιοτήτων σε κρεοπαραγωγικά ορνίθια. Μία ιδιότητα σχετίζεται με την ανάπτυξη (σωματικό βάρος στις 35 ημέρες, ΣΒ) και η άλλη με την αναπαραγωγική -
Detection of H3k4me3 Identifies Neurohiv Signatures, Genomic
viruses Article Detection of H3K4me3 Identifies NeuroHIV Signatures, Genomic Effects of Methamphetamine and Addiction Pathways in Postmortem HIV+ Brain Specimens that Are Not Amenable to Transcriptome Analysis Liana Basova 1, Alexander Lindsey 1, Anne Marie McGovern 1, Ronald J. Ellis 2 and Maria Cecilia Garibaldi Marcondes 1,* 1 San Diego Biomedical Research Institute, San Diego, CA 92121, USA; [email protected] (L.B.); [email protected] (A.L.); [email protected] (A.M.M.) 2 Departments of Neurosciences and Psychiatry, University of California San Diego, San Diego, CA 92103, USA; [email protected] * Correspondence: [email protected] Abstract: Human postmortem specimens are extremely valuable resources for investigating trans- lational hypotheses. Tissue repositories collect clinically assessed specimens from people with and without HIV, including age, viral load, treatments, substance use patterns and cognitive functions. One challenge is the limited number of specimens suitable for transcriptional studies, mainly due to poor RNA quality resulting from long postmortem intervals. We hypothesized that epigenomic Citation: Basova, L.; Lindsey, A.; signatures would be more stable than RNA for assessing global changes associated with outcomes McGovern, A.M.; Ellis, R.J.; of interest. We found that H3K27Ac or RNA Polymerase (Pol) were not consistently detected by Marcondes, M.C.G. Detection of H3K4me3 Identifies NeuroHIV Chromatin Immunoprecipitation (ChIP), while the enhancer H3K4me3 histone modification was Signatures, Genomic Effects of abundant and stable up to the 72 h postmortem. We tested our ability to use H3K4me3 in human Methamphetamine and Addiction prefrontal cortex from HIV+ individuals meeting criteria for methamphetamine use disorder or not Pathways in Postmortem HIV+ Brain (Meth +/−) which exhibited poor RNA quality and were not suitable for transcriptional profiling. -
Interactions of the Human LIP5 Regulatory Protein with Endosomal Sorting Complexes Required for Transport Jack J
Interactions of the human LIP5 regulatory protein with endosomal sorting complexes required for transport Jack J. Skalicky, Jun Arii, Dawn M. Wenzel, William-May B. Stubblefield, Angela Katsuyama, Nathan T. Uter, Monika Bajorek, David G. Myszka, Wesley I. Sundquist To cite this version: Jack J. Skalicky, Jun Arii, Dawn M. Wenzel, William-May B. Stubblefield, Angela Katsuyama, et al.. Interactions of the human LIP5 regulatory protein with endosomal sorting complexes required for transport. Journal of Biological Chemistry, American Society for Biochemistry and Molecular Biology, 2012, 287 (52), pp.43910-43926. 10.1074/jbc.M112.417899. hal-01606865 HAL Id: hal-01606865 https://hal.archives-ouvertes.fr/hal-01606865 Submitted on 29 May 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. Distributed under a Creative Commons Attribution| 4.0 International License THE JOURNAL OF BIOLOGICAL CHEMISTRY VOL. 287, NO. 52, pp. 43910–43908, December 21, 2012 © 2012 by The American Society for Biochemistry and Molecular Biology, Inc. Published in the U.S.A. Interactions of the Human LIP5 Regulatory Protein with Endosomal Sorting Complexes Required for Transport*□S ࡗ Received for publication, September 7, 2012, and in revised form, October 22, 2012 Published, JBC Papers in Press, October 26, 2012, DOI 10.1074/jbc.M112.417899 Jack J. -
Table S1. 103 Ferroptosis-Related Genes Retrieved from the Genecards
Table S1. 103 ferroptosis-related genes retrieved from the GeneCards. Gene Symbol Description Category GPX4 Glutathione Peroxidase 4 Protein Coding AIFM2 Apoptosis Inducing Factor Mitochondria Associated 2 Protein Coding TP53 Tumor Protein P53 Protein Coding ACSL4 Acyl-CoA Synthetase Long Chain Family Member 4 Protein Coding SLC7A11 Solute Carrier Family 7 Member 11 Protein Coding VDAC2 Voltage Dependent Anion Channel 2 Protein Coding VDAC3 Voltage Dependent Anion Channel 3 Protein Coding ATG5 Autophagy Related 5 Protein Coding ATG7 Autophagy Related 7 Protein Coding NCOA4 Nuclear Receptor Coactivator 4 Protein Coding HMOX1 Heme Oxygenase 1 Protein Coding SLC3A2 Solute Carrier Family 3 Member 2 Protein Coding ALOX15 Arachidonate 15-Lipoxygenase Protein Coding BECN1 Beclin 1 Protein Coding PRKAA1 Protein Kinase AMP-Activated Catalytic Subunit Alpha 1 Protein Coding SAT1 Spermidine/Spermine N1-Acetyltransferase 1 Protein Coding NF2 Neurofibromin 2 Protein Coding YAP1 Yes1 Associated Transcriptional Regulator Protein Coding FTH1 Ferritin Heavy Chain 1 Protein Coding TF Transferrin Protein Coding TFRC Transferrin Receptor Protein Coding FTL Ferritin Light Chain Protein Coding CYBB Cytochrome B-245 Beta Chain Protein Coding GSS Glutathione Synthetase Protein Coding CP Ceruloplasmin Protein Coding PRNP Prion Protein Protein Coding SLC11A2 Solute Carrier Family 11 Member 2 Protein Coding SLC40A1 Solute Carrier Family 40 Member 1 Protein Coding STEAP3 STEAP3 Metalloreductase Protein Coding ACSL1 Acyl-CoA Synthetase Long Chain Family Member 1 Protein -
S41467-019-13965-X.Pdf
ARTICLE https://doi.org/10.1038/s41467-019-13965-x OPEN Genome-wide CRISPR screen identifies host dependency factors for influenza A virus infection Bo Li1,2, Sara M. Clohisey 3, Bing Shao Chia1,2, Bo Wang 3, Ang Cui2,4, Thomas Eisenhaure2, Lawrence D. Schweitzer2, Paul Hoover2, Nicholas J. Parkinson3, Aharon Nachshon 5, Nikki Smith3, Tim Regan 3, David Farr3, Michael U. Gutmann6, Syed Irfan Bukhari7, Andrew Law 3, Maya Sangesland8, Irit Gat-Viks2,5, Paul Digard 3, Shobha Vasudevan7, Daniel Lingwood8, David H. Dockrell9, John G. Doench 2, J. Kenneth Baillie 3,10* & Nir Hacohen 2,11* 1234567890():,; Host dependency factors that are required for influenza A virus infection may serve as therapeutic targets as the virus is less likely to bypass them under drug-mediated selection pressure. Previous attempts to identify host factors have produced largely divergent results, with few overlapping hits across different studies. Here, we perform a genome-wide CRISPR/ Cas9 screen and devise a new approach, meta-analysis by information content (MAIC) to systematically combine our results with prior evidence for influenza host factors. MAIC out- performs other meta-analysis methods when using our CRISPR screen as validation data. We validate the host factors, WDR7, CCDC115 and TMEM199, demonstrating that these genes are essential for viral entry and regulation of V-type ATPase assembly. We also find that CMTR1, a human mRNA cap methyltransferase, is required for efficient viral cap snatching and regulation of a cell autonomous immune response, and provides synergistic protection with the influenza endonuclease inhibitor Xofluza. 1 Harvard University Virology Program, Harvfvard Medical School, Boston MA02142, USA. -
Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma
cancers Article Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma Han Na Jang 1,2,† , Sun Joon Moon 1,3,† , Kyeong Cheon Jung 4,5,6, Sang Wan Kim 1,7 , Hyeyoon Kim 8, Dohyun Han 8,* and Jung Hee Kim 1,2,* 1 Department of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Korea; [email protected] (H.N.J.); [email protected] (S.J.M.); [email protected] (S.W.K.) 2 Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Korea 3 Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03080, Korea 4 Department of Pathology, Seoul National University College of Medicine, Seoul 03080, Korea; [email protected] 5 Department of Translational Medicine, Seoul National University College of Medicine, Seoul 03080, Korea 6 Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul 03080, Korea 7 Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul 03080, Korea 8 Proteomics Core Facility, Biomedical Research Institute Seoul National University Hospital, Seoul 03080, Korea; [email protected] * Correspondence: [email protected] (D.H.); [email protected] (J.H.K.); Tel.: +82-2-2072-1719 (D.H.); +82-2-2072-4839 (J.H.K.) † These authors contributed equally to this work. Simple Summary: Adrenal cortical carcinoma (ACC) is an extremely rare disease with a variable Citation: Jang, H.N.; Moon, S.J.; Jung, K.C.; Kim, S.W.; Kim, H.; Han, prognosis. -
Molecular Genetics of Frontotemporal Dementia Elucidated by Drosophila Models—Defects in Endosomal–Lysosomal Pathway
International Journal of Molecular Sciences Review Molecular Genetics of Frontotemporal Dementia Elucidated by Drosophila Models—Defects in Endosomal–Lysosomal Pathway Sarah E. Vandal, Xiaoyue Zheng and S. Tariq Ahmad * Department of Biology, Colby College, 5720 Mayflower Hill, Waterville, ME 04901, USA; [email protected] (S.E.V.); [email protected] (X.Z.) * Correspondence: [email protected] Received: 19 May 2018; Accepted: 7 June 2018; Published: 9 June 2018 Abstract: Frontotemporal dementia (FTD) is the second most common senile neurodegenerative disease. FTD is a heterogeneous disease that can be classified into several subtypes. A mutation in CHMP2B locus (CHMP2Bintron5), which encodes a component of endosomal sorting complex required for transport-III (ESCRT-III), is associated with a rare hereditary subtype of FTD linked to chromosome 3 (FTD-3). ESCRT is involved in critical cellular processes such as multivesicular body (MVB) formation during endosomal–lysosomal pathway and autophagy. ESCRT mutants causes diverse physiological defects primarily due to accumulation of endosomes and defective MVBs resulting in misregulation of signaling pathways. Charged multivesicular body protein 2B (CHMP2B) is important for neuronal physiology which especially rely on precise regulation of protein homeostasis due to their post-mitotic status. Drosophila has proven to be an excellent model for charaterization of mechanistic underpinning of neurodegenerative disorders including FTD. In this review, current understanding of various FTD-related mutations is discussed with a focus on Drosophila models of CHMP2Bintron5-associated FTD. Keywords: frontotemporal dementia; endosomal-lysosomal pathway; ESCRT; CHMP2B; CHMP2Bintron5; animal models; Drosophila 1. Introduction Frontotemporal dementia (FTD) is the second most common form of dementia, and the second most common neurodegenerative disease in individuals under the age of 65 [1]. -
Supplementary Information
Supplementary Information Figure S1: Normalization strategy of BioID results. Normalization of protein MS-Label Free Quantification (LFQ) values between NHA9-BioID and BirAR118G and SN214-BioID and BirAR118G. A two-step normalization approach was used to account for the differences in protein expression between the BioID fusion proteins and the control BirAR118G. 1. Internal normalization (LFQi): for each condition, the ratio between the LFQ value of each protein (protein A) and the LFQ value of the BirAR118G within the same condition (i.e. the BirA portion from the respective BioID fusion protein). 2. External normalization (LFQe): the LFQi value of each protein (protein A) in NHA9-BioID or SN214-BioID was divided by the corresponding LFQi value in the control condition (BirA). The results are expressed as a fold-change, which corresponds to log2. Figure S2: Clustered Pathway Analysis of NUP98-HOXA9-BioID proximal interactors. Functionally grouped NHA9- BioID interactors. Statistical analysis was performed with the Cytoscape plugin ClueGo (v2.5.5) using hypergeometric test and the following parameters: p <0.01, kappa-score (k) = 0.4; (min/%) genes = 3/4%, GO tree levels: 3-11. Ontology databases: GOBP, GOCC, and GOMF, Reactome Pathways and KEGG. Figure S3: Most represented cellular compartments (GOCC) among SN214-BioID proximal interactors. Statistical analysis of the overrepresented proteins in the SN214-BioID fraction (total 1125 proteins) with PANTHER classification online software (v14.1) using Fisher’s exact test. Results are displayed for FDR p <0.05. Figure S4: Most represented biological processes (GOBP) among SN214-BioID proximal interactors. Statistical analysis of the overrepresented proteins in the SN214-BioID fraction (total 1125 proteins) with PANTHER classification online software (v14.1) using Fisher’s exact test. -
The Glomerular Transcriptome and a Predicted Protein–Protein Interaction Network
BASIC RESEARCH www.jasn.org The Glomerular Transcriptome and a Predicted Protein–Protein Interaction Network Liqun He,* Ying Sun,* Minoru Takemoto,* Jenny Norlin,* Karl Tryggvason,* Tore Samuelsson,† and Christer Betsholtz*‡ *Division of Matrix Biology, Department of Medical Biochemistry and Biophysics, and ‡Department of Medicine, Karolinska Institutet, Stockholm, and †Department of Medical Biochemistry, Go¨teborg University, Go¨teborg, Sweden ABSTRACT To increase our understanding of the molecular composition of the kidney glomerulus, we performed a meta-analysis of available glomerular transcriptional profiles made from mouse and man using five different methodologies. We generated a combined catalogue of glomerulus-enriched genes that emerged from these different sources and then used this to construct a predicted protein–protein interaction network in the glomerulus (GlomNet). The combined glomerulus-enriched gene catalogue provides the most comprehensive picture of the molecular composition of the glomerulus currently available, and GlomNet contributes an integrative systems biology approach to the understanding of glomerular signaling networks that operate during development, function, and disease. J Am Soc Nephrol 19: 260–268, 2008. doi: 10.1681/ASN.2007050588 Many kidney diseases and, importantly, approxi- nins have been shown to be mutated in Alport syn- mately two thirds of all cases of ESRD originate with drome and Pierson congenital nephrotic syndromes, glomerular disease. Most cases of glomerular disease respectively.11,12 Genetic studies in mice have further are caused by systemic disorders (e.g., diabetes, hyper- revealed genes and proteins of importance for glomer- tension, lupus, obesity) for which the molecular ulus development and function, such as podoca- pathogeneses of the glomerular complications are un- lyxin,13 CD2AP,14 NEPH1,15 FAT1,16 forkhead box known.