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Cyclin D1 Is a Direct Transcriptional Target of GATA3 in Neuroblastoma Tumor Cells
Oncogene (2010) 29, 2739–2745 & 2010 Macmillan Publishers Limited All rights reserved 0950-9232/10 $32.00 www.nature.com/onc SHORT COMMUNICATION Cyclin D1 is a direct transcriptional target of GATA3 in neuroblastoma tumor cells JJ Molenaar1,2, ME Ebus1, J Koster1, E Santo1, D Geerts1, R Versteeg1 and HN Caron2 1Department of Human Genetics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands and 2Department of Pediatric Oncology, Emma Kinderziekenhuis, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands Almost all neuroblastoma tumors express excess levels of 2000). Several checkpoints normally prevent premature Cyclin D1 (CCND1) compared to normal tissues and cell-cycle progression and cell division. The crucial G1 other tumor types. Only a small percentage of these entry point is controlled by the D-type Cyclins that can neuroblastoma tumors have high-level amplification of the activate CDK4/6 that in turn phosphorylate the pRb Cyclin D1 gene. The other neuroblastoma tumors have protein. This results in a release of the E2F transcription equally high Cyclin D1 expression without amplification. factor that causes transcriptional upregulation of Silencing of Cyclin D1 expression was previously found to numerous genes involved in further progression of the trigger differentiation of neuroblastoma cells. Over- cell cycle (Sherr, 1996). expression of Cyclin D1 is therefore one of the most Neuroblastomas are embryonal tumors that originate frequent mechanisms with a postulated function in neuro- from precursor cells of the sympathetic nervous system. blastoma pathogenesis. The cause for the Cyclin D1 This tumor has a very poor prognosis and despite the overexpression is unknown. -
Broad Poster Vivek
A novel computational method for finding regions with copy number abnormalities in cancer cells Vivek, Manuel Garber, and Mike Zody Broad Institute of MIT and Harvard, Cambridge, MA, USA Introduction Results Cancer can result from the over expression of oncogenes, genes which control and regulate cell growth. Sometimes oncogenes increase in 1 2 3 activity due to a specific genetic mutation called a translocation (Fig 1). SMAD4 – a gene known to be deleted in pancreatic COX10 – a gene deleted in cytochrome c oxidase AK001392 – a hereditary prostate cancer protein This translocation allows the oncogene to remain as active as its paired carcinoma deficiency, known to be related to cell proliferation gene. Amplification of this mutation can occur, thereby creating the proper conditions for uncontrolled cell growth; consequently, each Results from Analysis Program Results from Analysis Program Results from Analysis Program component of the translocation will amplify in similar quantities. In this mutation, the chromosomal region containing the oncogene displaces to Region 1 Region 2 R2 Region 1 Region 2 R2 Region 1 Region 2 R2 a region on another chromosome containing a gene that is expressed Chr18:47044749-47311978 Chr17:13930739-14654741 0.499070821478475 Chr17:13930739-14654741 Chr18:26861790-27072166 0.47355172850856 Chr17:12542326-13930738 Chr8:1789292-1801984 0.406208680312004 frequently. Actual region containing gene Actual region containing gene Actual region containing gene chr18: 45,842,214 - 48,514,513 chr17: 13,966,862 - 14,068,461 chr17: 12,542,326 - 13,930,738 Fig 1. Two chromosomal regions (abcdef and ghijk) are translocating to create two new regions (abckl and ghijedf). -
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. -
Supplemental Information Proximity Interactions Among Centrosome
Current Biology, Volume 24 Supplemental Information Proximity Interactions among Centrosome Components Identify Regulators of Centriole Duplication Elif Nur Firat-Karalar, Navin Rauniyar, John R. Yates III, and Tim Stearns Figure S1 A Myc Streptavidin -tubulin Merge Myc Streptavidin -tubulin Merge BirA*-PLK4 BirA*-CEP63 BirA*- CEP192 BirA*- CEP152 - BirA*-CCDC67 BirA* CEP152 CPAP BirA*- B C Streptavidin PCM1 Merge Myc-BirA* -CEP63 PCM1 -tubulin Merge BirA*- CEP63 DMSO - BirA* CEP63 nocodazole BirA*- CCDC67 Figure S2 A GFP – + – + GFP-CEP152 + – + – Myc-CDK5RAP2 + + + + (225 kDa) Myc-CDK5RAP2 (216 kDa) GFP-CEP152 (27 kDa) GFP Input (5%) IP: GFP B GFP-CEP152 truncation proteins Inputs (5%) IP: GFP kDa 1-7481-10441-1290218-1654749-16541045-16541-7481-10441-1290218-1654749-16541045-1654 250- Myc-CDK5RAP2 150- 150- 100- 75- GFP-CEP152 Figure S3 A B CEP63 – – + – – + GFP CCDC14 KIAA0753 Centrosome + – – + – – GFP-CCDC14 CEP152 binding binding binding targeting – + – – + – GFP-KIAA0753 GFP-KIAA0753 (140 kDa) 1-496 N M C 150- 100- GFP-CCDC14 (115 kDa) 1-424 N M – 136-496 M C – 50- CEP63 (63 kDa) 1-135 N – 37- GFP (27 kDa) 136-424 M – kDa 425-496 C – – Inputs (2%) IP: GFP C GFP-CEP63 truncation proteins D GFP-CEP63 truncation proteins Inputs (5%) IP: GFP Inputs (5%) IP: GFP kDa kDa 1-135136-424425-4961-424136-496FL Ctl 1-135136-424425-4961-424136-496FL Ctl 1-135136-424425-4961-424136-496FL Ctl 1-135136-424425-4961-424136-496FL Ctl Myc- 150- Myc- 100- CCDC14 KIAA0753 100- 100- 75- 75- GFP- GFP- 50- CEP63 50- CEP63 37- 37- Figure S4 A siCtl -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Product Name: NFKB1 (Ser893) Polyclonal Antibody, ALEXA FLUOR® 594 Conjugated Catalog No
Product Name: NFKB1 (Ser893) Polyclonal Antibody, ALEXA FLUOR® 594 Conjugated Catalog No. : TAP01-94487R-A594 Intended Use: For Research Use Only. Not for used in diagnostic procedures. Size 100ul Concentration 1ug/ul Gene ID 4790 ISO Type Rabbit IgG Clone N/A Immunogen Range 880-900/968 Conjugation ALEXA FLUOR® 594 Subcellular Locations Cytoplasm, Nucleus Applications IF(IHC-P) Cross Reactive Species Human Source KLH conjugated synthetic phosphopeptide derived from human NF KappaB p105 around the phosphorylation site of Ser893 Applications with IF(IHC-P)(1:50-200) Dilutions Purification Purified by Protein A. Background NF-kappa-B is a pleiotropic transcription factor present in almost all cell types and is the endpoint of a series of signal transduction events that are initiated by a vast array of stimuli related to many biological processes such as inflammation, immunity, differentiation, cell growth, tumorigenesis and apoptosis. NF-kappa-B is a homo- or heterodimeric complex formed by the Rel-like domain-containing proteins RELA/p65, RELB, NFKB1/p105, NFKB1/p50, REL and NFKB2/p52 and the heterodimeric p65-p50 complexappears to be most abundant one. The dimers bind at kappa-B sites in the DNA of their target genes and the individual dimers have distinct preferences for different kappa-B sites that they can bind with distinguishable affinity and specificity. Differentdimer combinations act as transcriptional activators or repressors, respectively. NF-kappa-B is controlled by various mechanisms of post-translational modification and subcellular compartmentalization as well as by interactions with other cofactors or corepressors. NF-kappa-B complexes are held in the cytoplasm in an inactive state complexed with members of the NF-kappa-B inhibitor (I-kappa-B) family. -
Ciliopathies Gene Panel
Ciliopathies Gene Panel Contact details Introduction Regional Genetics Service The ciliopathies are a heterogeneous group of conditions with considerable phenotypic overlap. Levels 4-6, Barclay House These inherited diseases are caused by defects in cilia; hair-like projections present on most 37 Queen Square cells, with roles in key human developmental processes via their motility and signalling functions. Ciliopathies are often lethal and multiple organ systems are affected. Ciliopathies are London, WC1N 3BH united in being genetically heterogeneous conditions and the different subtypes can share T +44 (0) 20 7762 6888 many clinical features, predominantly cystic kidney disease, but also retinal, respiratory, F +44 (0) 20 7813 8578 skeletal, hepatic and neurological defects in addition to metabolic defects, laterality defects and polydactyly. Their clinical variability can make ciliopathies hard to recognise, reflecting the ubiquity of cilia. Gene panels currently offer the best solution to tackling analysis of genetically Samples required heterogeneous conditions such as the ciliopathies. Ciliopathies affect approximately 1:2,000 5ml venous blood in plastic EDTA births. bottles (>1ml from neonates) Ciliopathies are generally inherited in an autosomal recessive manner, with some autosomal Prenatal testing must be arranged dominant and X-linked exceptions. in advance, through a Clinical Genetics department if possible. Referrals Amniotic fluid or CV samples Patients presenting with a ciliopathy; due to the phenotypic variability this could be a diverse set should be sent to Cytogenetics for of features. For guidance contact the laboratory or Dr Hannah Mitchison dissecting and culturing, with ([email protected]) / Prof Phil Beales ([email protected]) instructions to forward the sample to the Regional Molecular Genetics Referrals will be accepted from clinical geneticists and consultants in nephrology, metabolic, laboratory for analysis respiratory and retinal diseases. -
Phosphoinositide 3-Kinase-C2α Regulates Polycystin-2 Ciliary Entry
BASIC RESEARCH www.jasn.org Phosphoinositide 3-Kinase-C2a Regulates Polycystin-2 Ciliary Entry and Protects against Kidney Cyst Formation † Irene Franco,* Jean Piero Margaria,* Maria Chiara De Santis,* Andrea Ranghino, ‡ Daniel Monteyne, Marco Chiaravalli,§ Monika Pema,§ Carlo Cosimo Campa,* ‡| Edoardo Ratto,* Federico Gulluni,* David Perez-Morga, Stefan Somlo,¶ Giorgio R. Merlo,* Alessandra Boletta,§ and Emilio Hirsch* *Molecular Biotechnology Center, Department of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy; †Renal Transplantation Center “A. Vercellone”, Division of Nephrology, Dialysis and Transplantation, Department of Medical Sciences, Città della Salute e della Scienza, Hospital and Research Center for Experimental Medicine (CeRMS) and Center for Molecular Biotechnology, University of Torino, Turin, Italy; ‡Laboratoire de Parasitologie Moléculaire, Institut de Biologie et de Médecine Moléculaires (IBMM), Université Libre de Bruxelles, Gosselies, Charleroi, Belgium; §Division of Genetics and Cell Biology, Dibit San Raffaele Scientific Institute, Milan, Italy; |Center for Microscopy and Molecular Imaging (CMMI), Université Libre de Bruxelles, Gosselies, Belgium; and ¶Section of Nephrology, Yale University School of Medicine, New Haven, Connecticut. ABSTRACT Signaling from the primary cilium regulates kidney tubule development and cyst formation. However, the mechanism controlling targeting of ciliary components necessary for cilium morphogenesis and signaling is largely unknown. Here, we studied the function of class II phosphoinositide 3-kinase-C2a (PI3K-C2a)inrenal tubule-derived inner medullary collecting duct 3 cells and show that PI3K-C2a resides at the recycling endo- some compartment in proximity to the primary cilium base. In this subcellular location, PI3K-C2a controlled the activation of Rab8, a key mediator of cargo protein targeting to the primary cilium. -
Centrin2 Regulates CP110 Removal in Primary Cilium Formation
Published March 9, 2015 JCB: Report Centrin2 regulates CP110 removal in primary cilium formation Suzanna L. Prosser and Ciaran G. Morrison Centre for Chromosome Biology, School of Natural Sciences, National University of Ireland, Galway, Galway, Ireland rimary cilia are antenna-like sensory microtubule ciliogenesis in chicken DT40 B lymphocytes required cen- structures that extend from basal bodies, plasma trin2. We disrupted CETN2 in human retinal pigmented P membrane–docked mother centrioles. Cellular qui- epithelial cells, and despite having intact centrioles, they escence potentiates ciliogenesis, but the regulation of basal were unable to make cilia upon serum starvation, show- body formation is not fully understood. We used reverse ing abnormal localization of distal appendage proteins genetics to test the role of the small calcium-binding pro- and failing to remove the ciliation inhibitor CP110. Knock- tein, centrin2, in ciliogenesis. Primary cilia arise in most down of CP110 rescued ciliation in CETN2-deficient cells. cell types but have not been described in lymphocytes. Thus, centrin2 regulates primary ciliogenesis through con- We show here that serum starvation of transformed, cul- trolling CP110 levels. Downloaded from tured B and T cells caused primary ciliogenesis. Efficient Introduction Primary cilia are crucial for several signal transduction path- the immune synapse, a membrane region at which cells of on April 19, 2017 ways (Goetz and Anderson, 2010). Their assembly is an or- the immune system contact their target cells, helps to estab- dered process that must be closely integrated with the cell cycle lish a specialized structure that has several similarities with cilia because of the dual roles of centrioles in ciliation and in mito- (Stinchcombe and Griffiths, 2014). -
Natural Genetic Variation Screen in Drosophila Identifies
INVESTIGATION Natural Genetic Variation Screen in Drosophila Identifies Wnt Signaling, Mitochondrial Metabolism, and Redox Homeostasis Genes as Modifiers of Apoptosis Rebecca A. S. Palu,*,1 Elaine Ong,* Kaitlyn Stevens,* Shani Chung,* Katie G. Owings,* Alan G. Goodman,†,‡ and Clement Y. Chow*,2 *Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112, †School of Molecular Biosciences, and ‡Paul G. Allen School for Global Animal Health, Washington State University College of Veterinary Medicine, Pullman, WA 99164 ORCID IDs: 0000-0001-9444-8815 (R.A.S.P.); 0000-0001-6394-332X (A.G.G.); 0000-0002-3104-7923 (C.Y.C.) ABSTRACT Apoptosis is the primary cause of degeneration in a number of neuronal, muscular, and KEYWORDS metabolic disorders. These diseases are subject to a great deal of phenotypic heterogeneity in patient apoptosis populations, primarily due to differences in genetic variation between individuals. This creates a barrier to Drosophila effective diagnosis and treatment. Understanding how genetic variation influences apoptosis could lead to genetic variation the development of new therapeutics and better personalized treatment approaches. In this study, we modifier genes examine the impact of the natural genetic variation in the Drosophila Genetic Reference Panel (DGRP) on two models of apoptosis-induced retinal degeneration: overexpression of p53 or reaper (rpr). We identify a number of known apoptotic, neural, and developmental genes as candidate modifiers of degeneration. We also use Gene Set Enrichment Analysis (GSEA) to identify pathways that harbor genetic variation that impact these apoptosis models, including Wnt signaling, mitochondrial metabolism, and redox homeostasis. Fi- nally, we demonstrate that many of these candidates have a functional effect on apoptosis and degener- ation. -
A Compendium of Co-Regulated Protein Complexes in Breast Cancer Reveals Collateral Loss Events
bioRxiv preprint doi: https://doi.org/10.1101/155333; this version posted June 26, 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 4.0 International license. A compendium of co-regulated protein complexes in breast cancer reveals collateral loss events Colm J. Ryan*1, Susan Kennedy1, Ilirjana Bajrami2, David Matallanas1, Christopher J. Lord2 1Systems Biology Ireland, School of Medicine, University College Dublin, Dublin 4, Ireland 2The Breast Cancer Now Toby Robins Breast Cancer Research Centre and CRUK Gene Function Laboratory, The Institute of Cancer Research, London, SW3 6JB, United Kingdom. * Correspondence: [email protected] Summary Protein complexes are responsible for the bulk of activities within the cell, but how their behavior and composition varies across tumors remains poorly understood. By combining proteomic profiles of breast tumors with a large-scale protein-protein interaction network, we have identified a set of 258 high-confidence protein complexes whose subunits have highly correlated protein abundance across tumor samples. We used this set to identify complexes that are reproducibly under- or over- expressed in specific breast cancer subtypes. We found that mutation or deletion of one subunit of a complex was often associated with a collateral reduction in protein expression of additional complex members. This collateral loss phenomenon was evident from proteomic, but not transcriptomic, profiles suggesting post- transcriptional control. Mutation of the tumor suppressor E-cadherin (CDH1) was associated with a collateral loss of members of the adherens junction complex, an effect we validated using an engineered model of E-cadherin loss. -
NIH Public Access Author Manuscript Mol Psychiatry
NIH Public Access Author Manuscript Mol Psychiatry. Author manuscript; available in PMC 2014 July 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Mol Psychiatry. 2013 July ; 18(7): 781–787. doi:10.1038/mp.2013.24. Whole-exome sequencing and imaging genetics identify functional variants for rate of change in hippocampal volume in mild cognitive impairment K Nho1, JJ Corneveaux2, S Kim1,3, H Lin3, SL Risacher1, L Shen1,3, S Swaminathan1,4, VK Ramanan1,4, Y Liu3,4, T Foroud1,3,4, MH Inlow5, AL Siniard2, RA Reiman2, PS Aisen6, RC Petersen7, RC Green8, CR Jack7, MW Weiner9,10, CT Baldwin11, K Lunetta12, LA Farrer11,13, SJ Furney14,15,16, S Lovestone14,15,16, A Simmons14,15,16, P Mecocci17, B Vellas18, M Tsolaki19, I Kloszewska20, H Soininen21, BC McDonald1,22, MR Farlow22, B Ghetti23, MJ Huentelman2, and AJ Saykin1,3,4,22 for the Multi-Institutional Research on Alzheimer Genetic Epidemiology (MIRAGE) Study; for the AddNeuroMed Consortium; for the Indiana Memory and Aging Study; for the Alzheimer’s Disease Neuroimaging Initiative (ADNI)24 1Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA 2Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA 3Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA 4Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN,