POU2AF1 Functions in the Human Airway Epithelium to Regulate Expression of Host Defense Genes
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NVND-2019 Book
2nd International Conference on Neurovascular and Neurodegenerative Diseases October 28-30 2019 Media Partner Venue Paris Marriott Charles de Gaulle Airport Hotel 5 Allee du Verger, Zone Hoteliere Roissy en France, 95700 France Day- 1 Monday | October 28, 2019 Keynote Presentations Cerebrovascular Lesions in Pick Complex Diseases: A Neuropathological Study with a 7.0-tesla Magnetic Resonance Imaging Jacques De Reuck Université Lille 2, INSERM U1171, Degenerative & Vascular Cognitive Disorders, CHR Lille, France Abstract Introduction: Pick complex refers to a spectrum of diseases that have in common the presence of tau inclusions. The main neuropathological phenotypes comprise tau-frontotemporal lobar degeneration (Tau-FTLD), progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). The present neuropathological study investigates their incidence of cerebrovascular lesions. Material and Methods: seventy patients underwent an autopsy and post-mortem MRI. The brains consisted of 14 with Tau-FTLD, 22 with PSP, 6 with CBD and 28 controls, who had no history of a brain disease. A whole coronal section of a cerebral hemisphere, at the level of the mamillary body, was taken for the semi-quantitative evaluation of the small cerebrovascular lesions such as white matter changes (WMCs), cortical micro-bleeds (CoMBs), and cortical micro-infarcts (CoMIs). In addition the severity and the distribution of WMCs, CoMIs and CoMBs were examined with 7.0-tesla MRI on three coronal sections of a cerebral hemisphere. Results: on neuropathological examination severe WMCs and more CoMBs are observed in Tau-FTLD, while the latter are also more frequent in CBD. The MRI examination shows that severe WMCs are present in the frontal sections not only of the Tau-FTLD but also to a lesser degree of the PSP and CBD brains. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Kinesin Family Member 6 (Kif6) Is Necessary for Spine Development in Zebrafish 8 9 10 11 12 Jillian G
Page 1 of 40 Developmental Dynamics 1 2 3 4 5 6 7 Kinesin family member 6 (kif6) is necessary for spine development in zebrafish 8 9 10 11 12 Jillian G. Buchan1, Ryan S. Gray2, John M. Gansner6, David M. Alvarado3, Lydia Burgert4, 13 14 Jonathan D. Gitlin7, Christina A. Gurnett3,4,5, Matthew I. Goldsmith1,4,* 15 16 17 Departments of 1Genetics, 2Developmental Biology, 3Orthopaedic Surgery, 4Pediatrics, 18 5 6 19 Neurology, Washington University School of Medicine, St. Louis, MO, 63110; Dana-Farber 20 Cancer Institute, Boston, MA, 02215; 7Eugene Bell Center for Regenerative Biology, Marine 21 Biological Laboratory, Woods Hole, MA, 02543 22 23 24 25 26 *Corresponding author: Matthew I. Goldsmith, MD 27 28 Department of Pediatrics 29 Washington University School of Medicine 30 [email protected] 31 660 S Euclid Ave, Campus Box 8208 32 St Louis, MO 63110 33 Phone: (314) 286-2769 34 35 Fax: (314) 286-2784 36 37 38 39 Running Title: Kif6 in zebrafish spine development 40 41 Keywords: kinesin, scoliosis, Danio rerio 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 Developmental Dynamics Page 2 of 40 1 2 3 ABSTRACT 4 5 6 Background: Idiopathic scoliosis is a form of spinal deformity that affects 2-3% of children and 7 8 results in curvature of the spine without structural defects of the vertebral units. The 9 10 11 pathogenesis of idiopathic scoliosis remains poorly understood, in part due to the lack of a 12 13 relevant animal model. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Mutations in Kinesin Family Member 6 Reveal Specific Role in Ependymal Cell Ciliogenesis and Human Neurological Development
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2018 Mutations in Kinesin family member 6 reveal specific oler in ependymal cell ciliogenesis and human neurological development Mia J. Konjikusic Patra Yeetong Curtis W. Boswell Chanjae Lee Elle C. Roberson See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Authors Mia J. Konjikusic, Patra Yeetong, Curtis W. Boswell, Chanjae Lee, Elle C. Roberson, Rungnapa Ittiwut, Kanya Suphapeetiporn, Brian Ciruna, Christina A. Gurnett, John B. Wallingford, Vorasuk Shotelersuk, and Ryan S. Gray RESEARCH ARTICLE Mutations in Kinesin family member 6 reveal specific role in ependymal cell ciliogenesis and human neurological development 1,2 3,4,5 6 2 Mia J. KonjikusicID , Patra Yeetong , Curtis W. BoswellID , Chanjae Lee , Elle 2 3,4 3,4 6 C. RobersonID , Rungnapa IttiwutID , Kanya Suphapeetiporn , Brian Ciruna , Christina 7 2 3,4 1 A. Gurnett , John B. Wallingford , Vorasuk Shotelersuk *, Ryan S. GrayID * 1 Department of Pediatrics, Dell Pediatric Research Institute, The University of Texas at Austin, Dell Medical School, Austin, Texas, United States of America, 2 Department of Molecular Biosciences, Patterson Labs, a1111111111 The University of Texas at Austin, Austin, Texas, United States of America, 3 Center of Excellence for a1111111111 Medical Genetics, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, a1111111111 Thailand, 4 Excellence Center for Medical Genetics, -
Discovery of Candidate DNA Methylation Cancer Driver Genes
Published OnlineFirst May 10, 2021; DOI: 10.1158/2159-8290.CD-20-1334 RESEARCH ARTICLE Discovery of Candidate DNA Methylation Cancer Driver Genes Heng Pan1,2,3, Loïc Renaud4,5,6,7, Ronan Chaligne4,5,6, Johannes Bloehdorn8, Eugen Tausch8, Daniel Mertens9, Anna Maria Fink10, Kirsten Fischer10, Chao Zhang3,6, Doron Betel3,6, Andreas Gnirke11, Marcin Imielinski1,3,4,5,12, Jérôme Moreaux13,14,15,16, Michael Hallek10, Alexander Meissner11,17, Stephan Stilgenbauer8, Catherine J. Wu11,18, Olivier Elemento1,2,3,5, and Dan A. Landau3,4,5,6 Downloaded from cancerdiscovery.aacrjournals.org on September 28, 2021. © 2021 American Association for Cancer Research. Published OnlineFirst May 10, 2021; DOI: 10.1158/2159-8290.CD-20-1334 ABSTRACT Epigenetic alterations, such as promoter hypermethylation, may drive cancer through tumor suppressor gene inactivation. However, we have limited ability to differentiate driver DNA methylation (DNAme) changes from passenger events. We developed DNAme driver inference–MethSig–accounting for the varying stochastic hypermethylation rate across the genome and between samples. We applied MethSig to bisulfite sequencing data of chronic lymphocytic leukemia (CLL), multiple myeloma, ductal carcinoma in situ, glioblastoma, and to methylation array data across 18 tumor types in TCGA. MethSig resulted in well-calibrated quantile–quantile plots and reproducible inference of likely DNAme drivers with increased sensitivity/specificity compared with benchmarked methods. CRISPR/Cas9 knockout of selected candidate CLL DNAme drivers provided a fitness advantage with and without therapeutic intervention. Notably, DNAme driver risk score was closely associated with adverse outcome in independent CLL cohorts. Collectively, MethSig represents a novel inference framework for DNAme driver discovery to chart the role of aberrant DNAme in cancer. -
Supplemental Text and Figures
Supplemental Materials and Methods Experimental bone metastasis assay Primary PCa cells were sorted by GFP marker from mTmG+ tumors, and 105 cells in 20μL PBS were injected using Hamilton syringe into the tibia of 6-week old NSG mice. Mice were monitored biweekly for moribund signs for euthanasia and organ harvest. Noninvasive mouse and ex vivo imaging MRI imaging with Bruker ICON and fluorescence imaging of fresh organs with metastasis enumeration were recently described (Lu et al. 2017). Primary prostate cell sphere formation assay Isolate of primary cells from prostate, culture and counting of prostatospheres on Matrigel were performed as described (Lukacs et al. 2010). For organoid culture assay, we followed a published matrigel embedding method (Chua et al. 2014). RNA-Seq and differential gene expression Total RNA was isolated from prostate tumors using Direct-zol RNA MiniPrep Kit (Zymo Research) and processed for stranded total RNA-Seq using Illumina HiSeq 4000 at Sequencing and Microarray Facility at MD Anderson Cancer Center. The differential expression analysis was performed using the DESeq2 package of R. P-values obtained after multiple binomial tests were adjusted using BH method. Significant genes are defined by using a cut-off of 0.05 on the BH corrected p-value and an absolute log2 fold change value of at least 1.5. Histology and western blot H&E stain, immunohistochemical (IHC) and western blot were performed as previously described (Ding et al. 2011; Wang et al. 2016). Primary antibodies for IHC include Ki67 (Fisher, RM-9106-S1), cleaved caspase 3 (Cell Signaling Technology aka CST, 9661), cyclin D1 (Fisher, clone SP4), TGFBR2 (Abcam, ab61213), BMPR2 (Abcam, ab130206), AR (EMD Millipore, 06-680), phospho- Akt (CST, 4060), GFP (CST, 2956), E-Cadherin (CST, 14472). -
SUPPLEMENTARY DATA Supplementary Table 1. Top Ten
SUPPLEMENTARY DATA Supplementary Table 1. Top ten most highly expressed protein-coding genes in the EndoC-βH1 cell line. Expression levels provided for non-mitochondrial genes in EndoC-βH1 and the corresponding expression levels in sorted primary human β-cells (1). Ensembl gene ID Gene Name EndoC-βH1 [RPKM] Primary β cells [RPKM] ENSG00000254647.2 INS 8012.452 166347.111 ENSG00000087086.9 FTL 3090.7454 2066.464 ENSG00000100604.8 CHGA 2853.107 1113.162 ENSG00000099194.5 SCD 1411.631 238.714 ENSG00000118271.5 TTR 1312.8928 1488.996 ENSG00000184009.5 ACTG1 1108.0277 839.681 ENSG00000124172.5 ATP5E 863.42334 254.779 ENSG00000156508.13 EEF1A1 831.17316 637.281 ENSG00000112972.10 HMGCS1 719.7504 22.104 ENSG00000167552.9 TUBA1A 689.1415 511.699 ©2016 American Diabetes Association. Published online at http://diabetes.diabetesjournals.org/lookup/suppl/doi:10.2337/db16-0361/-/DC1 SUPPLEMENTARY DATA Supplementary Table 2. List of genes selected for inclusion in the primary screen. Expression levels in EndoC-βH1 and sorted primary human β-cells are shown for all genes targeted for silencing in the primary screen, ordered by locus association (1). For gene selection, the following criteria were applied: we first considered (1) all protein-coding genes within 1 Mb of a type 2 diabetes association signal that (2) had non-zero expression (RPKM > 0) in both EndoC-βH1 and primary human β-cells. Previous studies have shown cis-eQTLs to form a relatively tight, symmetrical distribution around the target-gene transcription start site, and a 1 Mb cut-off is thus likely to capture most effector transcripts subject to cis regulation (2-5). -
Epithelial IL-33 Appropriates Exosome Trafficking for Secretion in Chronic Airway Disease
Epithelial IL-33 appropriates exosome trafficking for secretion in chronic airway disease Ella Katz-Kiriakos, … , Mark J. Miller, Jennifer Alexander-Brett JCI Insight. 2021;6(4):e136166. https://doi.org/10.1172/jci.insight.136166. Research Article Immunology Pulmonology Graphical abstract Find the latest version: https://jci.me/136166/pdf RESEARCH ARTICLE Epithelial IL-33 appropriates exosome trafficking for secretion in chronic airway disease Ella Katz-Kiriakos,1 Deborah F. Steinberg,1 Colin E. Kluender,1 Omar A. Osorio,1 Catie Newsom-Stewart,1 Arjun Baronia,1 Derek E. Byers,1 Michael J. Holtzman,1,2 Dawn Katafiasz,3 Kristina L. Bailey,3 Steven L. Brody,1 Mark J. Miller,4 and Jennifer Alexander-Brett1,5 1Department of Medicine, Division of Pulmonary and Critical Care Medicine, and 2Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, Missouri, USA. 3Department of Medicine, Division of Pulmonary, Critical Care, Sleep and Allergy, University of Nebraska Medical Center, Omaha, Nebraska, USA. 4Department of Medicine, Division of Infectious Diseases, and 5Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA. IL-33 is a key mediator of chronic airway disease driven by type 2 immune pathways, yet the nonclassical secretory mechanism for this cytokine remains undefined. We performed a comprehensive analysis in human airway epithelial cells, which revealed that tonic IL-33 secretion is dependent on the ceramide biosynthetic enzyme neutral sphingomyelinase 2 (nSMase2). IL-33 is cosecreted with exosomes by the nSMase2-regulated multivesicular endosome (MVE) pathway as surface-bound cargo. In support of these findings, human chronic obstructive pulmonary disease (COPD) specimens exhibited increased epithelial expression of the abundantly secreted IL33Δ34 isoform and augmented nSMase2 expression compared with non-COPD specimens. -
Identification of Degs in B Cells of Patients with Common Variable
Identification of DEGs in B cells of patients with common variable immunodeficiency and healthy donors Master Degree Project in Systems Biology Molecular Biotechnology Two years Master 120 ECTS Spring semester 2019 Version 1 Shirin Pour Akaber Email: [email protected] Supervisor: Ola Grimsholm (University of Gothenburg) Email: [email protected] Co-supervisor: Andreas Tilevik (University of Skövde) Emails: [email protected] Examiner: Björn Olsson Email: [email protected] University of Skövde, department of Bioscience 541 28 Skövde Abstract Common variable immunodeficiency (CVID) is a rare primary immune deficiency (1:25000) in which patients have a reduction in antibody production and very low titres in one or more of their Ig isotypes, (IgG, IgA and sometimes IgM). This disease can cause different symptoms such as: bronchiectasis, chronic lung disease and even autoimmunity, polyclonal lymphocytic infiltration, lymphoma and death. The underlying causes of CVID are still largely unknown but studies show that different factors like primary B-cell dysfunctions, defects in T cells and antigen-presenting cells are involved. Quantitative analysis of gene expression is of high importance in understanding the molecular mechanisms underlying this diseases´ genome regulation. Next-generation RNA-seq has enabled researchers to analyse both coding and non-coding regions of RNA, and therefore has made it possible to identify differentially expressed genes in large-scale data, especially in polygenic diseases like CVID. The aim for this study was to identify the differentially expressed genes between CVID patients and healthy donors to identify important genes and molecular mechanisms underlying this diseases´ genome regulation. For this matter, whole genome RNA-seq analysis was performed on RNA isolated from sorted peripheral blood naïve and CD27bright memory B cells from healthy donors (n=7) and CVID patients (n=5). -
Rs1944919 on Chromosome 11Q23.1 and Its Effector Genes COLCA1
www.nature.com/scientificreports OPEN rs1944919 on chromosome 11q23.1 and its efector genes COLCA1/COLCA2 confer susceptibility to primary biliary cholangitis Yuki Hitomi1*, Yoshihiro Aiba2, Yosuke Kawai3, Kaname Kojima4, Kazuko Ueno3, Nao Nishida3,5, Minae Kawashima6, Olivier Gervais7, Seik‑Soon Khor3, Masao Nagasaki7, Katsushi Tokunaga3, Minoru Nakamura2,8,9 & Makoto Tsuiji1* Primary biliary cholangitis (PBC) is a chronic, progressive cholestatic liver disease in which intrahepatic bile ducts are destroyed by an autoimmune reaction. Our previous genome‑wide association study (GWAS) identifed chromosome 11q23.1 as a susceptibility gene locus for PBC in the Japanese population. Here, high‑density association mapping based on single nucleotide polymorphism (SNP) imputation and in silico/in vitro functional analyses identifed rs1944919 as the primary functional variant. Expression‑quantitative trait loci analyses showed that the PBC susceptibility allele of rs1944919 was signifcantly associated with increased COLCA1/COLCA2 expression levels. Additionally, the efects of rs1944919 on COLCA1/COLCA2 expression levels were confrmed using genotype knock‑in versions of cell lines constructed using the CRISPR/Cas9 system and difered between rs1944919‑G/G clones and ‑T/T clones. To our knowledge, this is the frst study to demonstrate the contribution of COLCA1/COLCA2 to PBC susceptibility. Primary biliary cholangitis (PBC) is a chronic, progressive cholestatic liver disease in which intrahepatic small bile ducts are destroyed. PBC is considered an organ-specifc autoimmune disease for the following reasons: (1) existence of autoreactive T and B cells from PBC patients and well-defned autoantigens such as the E2 com- ponent of the pyruvate dehydrogenase complex, (2) high frequencies of complications of other autoimmune diseases, (3) overlap of many disease susceptibility gene loci with those of other autoimmune diseases, and (4) an overwhelming female predominance 1–5. -
Rabbit Anti-SIAH1/FITC Conjugated Antibody-SL3596R-FITC
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-SIAH1/FITC Conjugated antibody SL3596R-FITC Product Name: Anti-SIAH1/FITC Chinese Name: FITC标记的Ubiquitin连接酶Siah1抗体 hSIAH1; HUMSIAH; Seven in absentia homolog 1 (Drosophila); Seven in absentia homolog 1; Siah 1; Siah 1a; Ubiquitin ligase SIAH1; E3 ubiquitin-protein ligase SIAH1; Alias: Seven in absentia homolog 1; Siah-1; Siah-1a; Siah E3 ubiquitin protein ligase 1; SIAH1_HUMAN; SIAH1A. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Chicken,Dog,Pig,Cow,Horse,Rabbit, IF=1:50-200 Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 34kDa Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human SIAH1 Lsotype: IgG Purification: affinitywww.sunlongbiotech.com purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. background: This gene encodes a protein that is a member of the seven in absentia homolog (SIAH) family. The protein is an E3 ligase and is involved in ubiquitination and proteasome- Product Detail: mediated degradation of specific proteins.