Zebrafish Motile Cilia As a Model for Primary Ciliary Dyskinesia
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Educational Paper Ciliopathies
Eur J Pediatr (2012) 171:1285–1300 DOI 10.1007/s00431-011-1553-z REVIEW Educational paper Ciliopathies Carsten Bergmann Received: 11 June 2011 /Accepted: 3 August 2011 /Published online: 7 September 2011 # The Author(s) 2011. This article is published with open access at Springerlink.com Abstract Cilia are antenna-like organelles found on the (NPHP) . Ivemark syndrome . Meckel syndrome (MKS) . surface of most cells. They transduce molecular signals Joubert syndrome (JBTS) . Bardet–Biedl syndrome (BBS) . and facilitate interactions between cells and their Alstrom syndrome . Short-rib polydactyly syndromes . environment. Ciliary dysfunction has been shown to Jeune syndrome (ATD) . Ellis-van Crefeld syndrome (EVC) . underlie a broad range of overlapping, clinically and Sensenbrenner syndrome . Primary ciliary dyskinesia genetically heterogeneous phenotypes, collectively (Kartagener syndrome) . von Hippel-Lindau (VHL) . termed ciliopathies. Literally, all organs can be affected. Tuberous sclerosis (TSC) . Oligogenic inheritance . Modifier. Frequent cilia-related manifestations are (poly)cystic Mutational load kidney disease, retinal degeneration, situs inversus, cardiac defects, polydactyly, other skeletal abnormalities, and defects of the central and peripheral nervous Introduction system, occurring either isolated or as part of syn- dromes. Characterization of ciliopathies and the decisive Defective cellular organelles such as mitochondria, perox- role of primary cilia in signal transduction and cell isomes, and lysosomes are well-known -
Ciliopathiesneuromuscularciliopathies Disorders Disorders Ciliopathiesciliopathies
NeuromuscularCiliopathiesNeuromuscularCiliopathies Disorders Disorders CiliopathiesCiliopathies AboutAbout EGL EGL Genet Geneticsics EGLEGL Genetics Genetics specializes specializes in ingenetic genetic diagnostic diagnostic testing, testing, with with ne nearlyarly 50 50 years years of of clinical clinical experience experience and and board-certified board-certified labor laboratoryatory directorsdirectors and and genetic genetic counselors counselors reporting reporting out out cases. cases. EGL EGL Genet Geneticsics offers offers a combineda combined 1000 1000 molecular molecular genetics, genetics, biochemical biochemical genetics,genetics, and and cytogenetics cytogenetics tests tests under under one one roof roof and and custom custom test testinging for for all all medically medically relevant relevant genes, genes, for for domestic domestic andand international international clients. clients. EquallyEqually important important to to improving improving patient patient care care through through quality quality genetic genetic testing testing is is the the contribution contribution EGL EGL Genetics Genetics makes makes back back to to thethe scientific scientific and and medical medical communities. communities. EGL EGL Genetics Genetics is is one one of of only only a afew few clinical clinical diagnostic diagnostic laboratories laboratories to to openly openly share share data data withwith the the NCBI NCBI freely freely available available public public database database ClinVar ClinVar (>35,000 (>35,000 variants variants on on >1700 >1700 genes) genes) and and is isalso also the the only only laboratory laboratory with with a a frefree oen olinnlein dea dtabtaabsaes (eE m(EVmCVlaCslas)s,s f)e, afetuatruinrgin ag vaa vraiarniatn ctl acslasisfiscifiactiaotino sne saercahrc ahn adn rde rpeoprot rrte rqeuqeuset sint tinetrefarcfaec, ew, hwichhic fha cfailcitialiteatse rsa praidp id interactiveinteractive curation curation and and reporting reporting of of variants. -
ERS and ATS Diagnostic Guidelines for Primary Ciliary Dyskinesia: Similarities and Differences in Approach to Diagnosis
EDITORIAL | PRIMARY CILIARY DYSKINESIA ERS and ATS diagnostic guidelines for primary ciliary dyskinesia: similarities and differences in approach to diagnosis Amelia Shoemark 1,2, Sharon Dell3, Adam Shapiro4 and Jane S. Lucas 5,6 Affiliations: 1Dept of Molecular and Cellular Medicine, University of Dundee, Dundee, UK. 2Dept of Paediatric Respiratory Medicine, Royal Brompton and Harefield NHS Trust, London, UK. 3Division of Respiratory Medicine, Dept of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada. 4McGill University Health Centre Research Institute, Montreal Children’s Hospital, Montreal, QC, Canada. 5Primary Ciliary Dyskinesia Centre, NIHR Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK. 6University of Southampton Faculty of Medicine, Academic Unit of Clinical and Experimental Medicine, Southampton, UK. Correspondence: Amelia Shoemark, Dept of Molecular and Cellular Medicine, University of Dundee, Dundee, UK. E-mail: [email protected] @ERSpublications ERS and ATS guidelines for PCD diagnosis present different recommendations. Authors from both guidelines clarify similarities, differences and steps required to develop an internationally agreed pathway. TEM or genotyping confirm a diagnosis of PCD. http://bit.ly/2SR7GWm Cite this article as: Shoemark A, Dell S, Shapiro A, et al. ERS and ATS diagnostic guidelines for primary ciliary dyskinesia: similarities and differences in approach to diagnosis. Eur Respir J 2019; 54: 1901066 [https://doi.org/10.1183/13993003.01066-2019]. Introduction Primary ciliary dyskinesia (PCD) is a genetically and clinically heterogeneous disease, usually inherited in an autosomal recessive pattern. Patients with PCD develop recurrent and chronic infections of upper and lower airways, invariably leading to bronchiectasis and impaired lung function. -
Bayesian Hierarchical Modeling of High-Throughput Genomic Data with Applications to Cancer Bioinformatics and Stem Cell Differentiation
BAYESIAN HIERARCHICAL MODELING OF HIGH-THROUGHPUT GENOMIC DATA WITH APPLICATIONS TO CANCER BIOINFORMATICS AND STEM CELL DIFFERENTIATION by Keegan D. Korthauer A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Statistics) at the UNIVERSITY OF WISCONSIN–MADISON 2015 Date of final oral examination: 05/04/15 The dissertation is approved by the following members of the Final Oral Committee: Christina Kendziorski, Professor, Biostatistics and Medical Informatics Michael A. Newton, Professor, Statistics Sunduz Kele¸s,Professor, Biostatistics and Medical Informatics Sijian Wang, Associate Professor, Biostatistics and Medical Informatics Michael N. Gould, Professor, Oncology © Copyright by Keegan D. Korthauer 2015 All Rights Reserved i in memory of my grandparents Ma and Pa FL Grandma and John ii ACKNOWLEDGMENTS First and foremost, I am deeply grateful to my thesis advisor Christina Kendziorski for her invaluable advice, enthusiastic support, and unending patience throughout my time at UW-Madison. She has provided sound wisdom on everything from methodological principles to the intricacies of academic research. I especially appreciate that she has always encouraged me to eke out my own path and I attribute a great deal of credit to her for the successes I have achieved thus far. I also owe special thanks to my committee member Professor Michael Newton, who guided me through one of my first collaborative research experiences and has continued to provide key advice on my thesis research. I am also indebted to the other members of my thesis committee, Professor Sunduz Kele¸s,Professor Sijian Wang, and Professor Michael Gould, whose valuable comments, questions, and suggestions have greatly improved this dissertation. -
Synergistic Genetic Interactions Between Pkhd1 and Pkd1 Result in an ARPKD-Like Phenotype in Murine Models
BASIC RESEARCH www.jasn.org Synergistic Genetic Interactions between Pkhd1 and Pkd1 Result in an ARPKD-Like Phenotype in Murine Models Rory J. Olson,1 Katharina Hopp ,2 Harrison Wells,3 Jessica M. Smith,3 Jessica Furtado,1,4 Megan M. Constans,3 Diana L. Escobar,3 Aron M. Geurts,5 Vicente E. Torres,3 and Peter C. Harris 1,3 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Autosomal recessive polycystic kidney disease (ARPKD) and autosomal dominant polycystic kidney disease (ADPKD) are genetically distinct, with ADPKD usually caused by the genes PKD1 or PKD2 (encoding polycystin-1 and polycystin-2, respectively) and ARPKD caused by PKHD1 (encoding fibrocys- tin/polyductin [FPC]). Primary cilia have been considered central to PKD pathogenesis due to protein localization and common cystic phenotypes in syndromic ciliopathies, but their relevance is questioned in the simple PKDs. ARPKD’s mild phenotype in murine models versus in humans has hampered investi- gating its pathogenesis. Methods To study the interaction between Pkhd1 and Pkd1, including dosage effects on the phenotype, we generated digenic mouse and rat models and characterized and compared digenic, monogenic, and wild-type phenotypes. Results The genetic interaction was synergistic in both species, with digenic animals exhibiting pheno- types of rapidly progressive PKD and early lethality resembling classic ARPKD. Genetic interaction be- tween Pkhd1 and Pkd1 depended on dosage in the digenic murine models, with no significant enhancement of the monogenic phenotype until a threshold of reduced expression at the second locus was breached. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Accuracy of Immunofluorescence in the Diagnosis of Primary Ciliary Dyskinesia
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UCL Discovery Accuracy of immunofluorescence in the diagnosis of Primary Ciliary Dyskinesia Amelia Shoemark1,2, Emily Frost 1, Mellisa Dixon 1, Sarah Ollosson 1, Kate Kilpin1, Andrew V Rogers 1 , Hannah M Mitchison3, Andrew Bush1,2, Claire Hogg1 1 Department of Paediatrics, Royal Brompton & Harefield NHS Trust, London, UK 2 National Heart and Lung Institute, Imperial College London, UK 3 Genetics and Genomic Medicine Programme, Institute of Child Health, University College London, UK Correspondence to: Amelia Shoemark Primary Ciliary Dyskinesia Service Electron microscopy unit Department of Paediatrics Royal Brompton Hospital London SW3 6NP Statement of contribution: AS, CH and AB designed the study. EF, KK, SO and AS consented patients, conducted light microscopy, collected nasal brushings and prepared slides. EF and AS conducted IF staining and analysis. MD conducted light and electron microscopy. HM provided genotyping. AS and EF analysed the data. AS, CH and AB drafted the manuscript. All authors contributed to manuscript drafts and preparation. AS is custodian of the data and takes responsibility for its accuracy. Sources of support: This project is funded by a NIHR fellowship awarded to AS and mentored by CH, HM and AB. AB was supported by the NIHR Respiratory Disease Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust and Imperial College London Running head: Immunofluorescence in PCD diagnosis Descriptor number:14.6 Rare paediatric lung disease Word count (excluding abstract and references): 2872 At a Glance Commentary: Scientific Knowledge on the Subject Primary Ciliary Dyskinesia is a genetically heterogeneous chronic condition. -
RSPH3 (NM 031924) Human Recombinant Protein – TP761392
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TP761392 RSPH3 (NM_031924) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Purified recombinant protein of Human radial spoke 3 homolog (Chlamydomonas) (RSPH3), full length, with N-terminal GST and C-terminal HIS tag, expressed in E. coli, 50ug Species: Human Expression Host: E. coli Tag: N-GST and C-His Predicted MW: 91.5 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25mM Tris,pH8.0,150mM NaCl,10% glycerol,1% Sarkosyl. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_114130 Locus ID: 83861 UniProt ID: Q86UC2 RefSeq Size: 2201 Cytogenetics: 6q25.3 RefSeq ORF: 1680 Synonyms: CILD32; dJ111C20.1; RSHL2; RSP3 Summary: The protein encoded by this gene acts as a protein kinase A anchoring protein. Mutations in this gene cause primary ciliary dyskinesia; a disorder characterized by defects of the axoneme in motile cilia and sperm flagella. The homolog of this gene was first identified in the blue- green algae Chlamydomonas as encoding a radial spoke protein that formed a structural component of motile cilia and flagella. Alternate splicing results in multiple transcript variants encoding distinct isoforms. [provided by RefSeq, Dec 2016] This product is to be used for laboratory only. -
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. -
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). -
Figure S1. Representative Report Generated by the Ion Torrent System Server for Each of the KCC71 Panel Analysis and Pcafusion Analysis
Figure S1. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. A Figure S1. Continued. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. B Figure S2. Comparative analysis of the variant frequency found by the KCC71 panel and calculated from publicly available cBioPortal datasets. For each of the 71 genes in the KCC71 panel, the frequency of variants was calculated as the variant number found in the examined cases. Datasets marked with different colors and sample numbers of prostate cancer are presented in the upper right. *Significantly high in the present study. Figure S3. Seven subnetworks extracted from each of seven public prostate cancer gene networks in TCNG (Table SVI). Blue dots represent genes that include initial seed genes (parent nodes), and parent‑child and child‑grandchild genes in the network. Graphical representation of node‑to‑node associations and subnetwork structures that differed among and were unique to each of the seven subnetworks. TCNG, The Cancer Network Galaxy. Figure S4. REVIGO tree map showing the predicted biological processes of prostate cancer in the Japanese. Each rectangle represents a biological function in terms of a Gene Ontology (GO) term, with the size adjusted to represent the P‑value of the GO term in the underlying GO term database. -
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.