Nuclear Roles for Cilia-Associated Proteins
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The Connections of Wnt Pathway Components with Cell Cycle and Centrosome: Side Effects Or a Hidden Logic?
Critical Reviews in Biochemistry and Molecular Biology ISSN: 1040-9238 (Print) 1549-7798 (Online) Journal homepage: http://www.tandfonline.com/loi/ibmg20 The connections of Wnt pathway components with cell cycle and centrosome: side effects or a hidden logic? Vítězslav Bryja , Igor Červenka & Lukáš Čajánek To cite this article: Vítězslav Bryja , Igor Červenka & Lukáš Čajánek (2017): The connections of Wnt pathway components with cell cycle and centrosome: side effects or a hidden logic?, Critical Reviews in Biochemistry and Molecular Biology, DOI: 10.1080/10409238.2017.1350135 To link to this article: http://dx.doi.org/10.1080/10409238.2017.1350135 Published online: 25 Jul 2017. Submit your article to this journal Article views: 72 View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=ibmg20 Download by: [Masarykova Univerzita v Brne], [Lukas Cajanek] Date: 08 August 2017, At: 01:58 CRITICAL REVIEWS IN BIOCHEMISTRY AND MOLECULAR BIOLOGY, 2017 https://doi.org/10.1080/10409238.2017.1350135 REVIEW ARTICLE The connections of Wnt pathway components with cell cycle and centrosome: side effects or a hidden logic? Vıtezslav Bryjaa , Igor Cervenka b and Lukas Caj anekc aDepartment of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic; bMolecular and Cellular Exercise Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; cDepartment of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic ABSTRACT ARTICLE HISTORY Wnt signaling cascade has developed together with multicellularity to orchestrate the develop- Received 10 April 2017 ment and homeostasis of complex structures. -
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. -
The Emerging Landscape of Dynamic DNA Methylation in Early Childhood
The emerging landscape of dynamic DNA methylation in early childhood Cheng-Jian Xu, Marc Jan Bonder, Cilla Söderhäll, Mariona Bustamante, Nour Baïz, Ulrike Gehring, Soesma Jankipersadsing, Pieter van der Vlies, Cleo van Diemen, Bianca van Rijkom, et al. To cite this version: Cheng-Jian Xu, Marc Jan Bonder, Cilla Söderhäll, Mariona Bustamante, Nour Baïz, et al.. The emerg- ing landscape of dynamic DNA methylation in early childhood. BMC Genomics, BioMed Central, 2017, 18, pp.25. 10.1186/s12864-016-3452-1. hal-01792686 HAL Id: hal-01792686 https://hal.archives-ouvertes.fr/hal-01792686 Submitted on 26 May 2021 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 Xu et al. BMC Genomics (2017) 18:25 DOI 10.1186/s12864-016-3452-1 RESEARCHARTICLE Open Access The emerging landscape of dynamic DNA methylation in early childhood Cheng-Jian Xu1,2*, Marc Jan Bonder2, Cilla Söderhäll3,4, Mariona Bustamante5,6,7,8, Nour Baïz9, Ulrike Gehring10, Soesma A. Jankipersadsing1,2, Pieter van der Vlies2, Cleo C. van Diemen2, Bianca van Rijkom2, Jocelyne Just9,11, Inger Kull12, Juha Kere3,13, Josep Maria Antó5,7,8,14, Jean Bousquet15,16,17,18, Alexandra Zhernakova2, Cisca Wijmenga2, Isabella Annesi-Maesano9, Jordi Sunyer5,7,8,14, Erik Melén19, Yang Li2*, Dirkje S. -
ZMYND10 Functions in a Chaperone Relay During Axonemal Dynein Assembly
bioRxiv preprint doi: https://doi.org/10.1101/233718; this version posted December 13, 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. 1 ZMYND10 functions in a chaperone relay during axonemal dynein assembly. 2 3 Girish R Mali1,9 , Patricia Yeyati1, Seiya Mizuno2, Margaret A Keighren1, Petra zur Lage3, Amaya 4 Garcia-Munoz4, Atsuko Shimada5, Hiroyuki Takeda5, Frank Edlich6, Satoru Takahashi2,7, Alex von 5 Kreigsheim4,8, Andrew Jarman3 and Pleasantine Mill1,*. 6 7 1. MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of 8 Edinburgh, Edinburgh, UK, EH4 2XU 9 2. Laboratory Animal Resource Centre, University of Tsukuba, Tsukuba, Japan, 305-8575 10 3. Centre for Integrative Physiology, University of Edinburgh, Edinburgh, UK, EH8 9XD 11 4. Systems Biology Ireland, University College Dublin, Dublin, Ireland 12 5. Department of Biological Sciences, University of Tokyo, Tokyo, Japan, 113-0033 13 6. Institute for Biochemistry and Molecular Biology, University of Freiburg, Freiburg, Germany, 14 79104 15 7. Department of Anatomy and Embryology, Faculty of Medicine, University of Tsukuba, Tsukuba, 16 Japan, 305-8575 17 8. Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, University 18 of Edinburgh, Edinburgh, UK, EH4 2XU 19 9. Current address: MRC Laboratory of Molecular Biology, Cambridge, UK, CB2 0QH 20 * Corresponding author: [email protected] 21 22 23 24 25 26 27 28 29 30 31 1 bioRxiv preprint doi: https://doi.org/10.1101/233718; this version posted December 13, 2017. -
The Bbsome Assembly Is Spatially Controlled by BBS1 and BBS4 in Human Cells
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.20.000091; this version posted March 20, 2020. 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. The BBSome assembly is spatially controlled by BBS1 and BBS4 in human cells Avishek Prasai1, Marketa Schmidt Cernohorska1, Klara Ruppova1, Veronika Niederlova1, Monika Andelova1, Peter Draber1, Ondrej Stepanek1#, Martina Huranova1# 1 Laboratory of Adaptive Immunity, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220 Prague, Czech Republic # Correspondence to Martina Huranova [email protected] or Ondrej Stepanek [email protected] Laboratory of Adaptive Immunity Institute of Molecular Genetics Czech Academy of Sciences Videnska 1083 14220 Prague Czech Republic 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.20.000091; this version posted March 20, 2020. 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. Key words: Bardet-Biedl Syndrome, BBSome, assembly, cilium, ciliopathy, protein sorting Abstract Bardet-Biedl Syndrome (BBS) is a pleiotropic ciliopathy caused by dysfunction of primary cilia. Most BBS patients carry mutations in one of eight genes encoding for subunits of a protein complex, BBSome, which mediates the trafficking of ciliary cargoes. Although, the structure of the BBSome has been resolved recently, the mechanism of assembly of this complicated complex in living cells is poorly understood. -
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. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Supplementary Materials Functional Characterization of Rare RAB12
1 Supplementary materials Functional characterization of rare RAB12 variants and their role in musician’s and other dystonias Eva Hebert et al. Figure S1. Photograph of Individual L-10289 (mildly affected mother of the index patient from Family D) showing a 15-degree tilt of the trunk to the right as well as dystonic posturing of the right hand (involuntary flexion of the third to fifth finger and thumb and extension of the index finger). 2 Figure S2. TFRC colocalized with wildtype and mutant FLAG-RAB12. Immunofluorescent staining of fibroblasts expressing FLAG-RAB12 WT, p.Gly13Asp, or p.Ile196Val revealed predominant perinuclear localization of TFRC (red) which overlaps with the localization of FLAG-RAB12 (green) in all three cell lines (WT, p.Gly13Asp, p.Ile196Val). The nucleus was stained with DAPI (blue). Scale bar: 20µm. 3 Figure S3. Lysosomal degradation of the physiological dimeric TFRC was not affected by the RAB12 mutations. Western Blot analysis revealed the degradation of TFRC in patient fibroblasts with endogenous expression of RAB12 (a, b) in fibroblasts ectopically expressing FLAG-RAB12 (c, d), and in SH-SY5Y cells ectopically expressing FLAG-RAB12 (e, f). Cells were treated with Bafilomycin A1 for 24h. ß-actin served as loading control and for normalization. Bars in B, D, and F indicate means of three independent experiments ± SEM. ctrl control, WT wildtype 4 Figure S4. Relative LC3-II protein levels are marginally increased in SH-SY5Y cells overexpressing RAB12 Gly13Asp protein and p62 levels remained constant. a) Western Blot of proteins extracted from stably transfected SH-SY5Y cells. Expression of FLAG-tagged RAB12 WT equals the expression of mutated RAB12 proteins (Gly13Asp, I196Val) (lane 3, 5, 7). -
XP725 Antibody List Lot 129K4830
Panorama® Antibody Microarray-XPRESS Profiler725, XP725 List of Antibodies Lot: 129K4830 Reactivity Number Antibody Sigma No. Gene Ids Gene Symbols P/M Accessions Human Mouse Rat 3 Actin A5060 58 ACTA1 P NP_001091.1 n/d n/d n/d 5 Actin, αβ-Smooth Muscle A5228 59 ACTA2 M NP_001135417.1, NP_001604.1, yyy 6 β-Actin A1978 60 ACTB M NP_001092.1 yyy 7 β-Actin A2228 60 ACTB M NP_001092.1 yyy 8 a-Actinin A5044 87 ACTN1 M NP_001093.1 y y n/d 555 PARP P7605 142 PARP1 P NP_001609.2 y n/d n/d 11 β1 and β2-Adaptins A4450 162 AP1B1 M NP_001118.3 y n/d y 167 Chondroitin Sulfate C8035 176 ACAN M NP_001126.3, NP_037359.3 yyy 574 Protein Kinase Ba /Akt1 P2482 207 AKT1 M NP_001014431.1,NP_001014432.1 , NP_005154.2, yyy 575 Protein Kinase Ba /Akt1 P1601 207 AKT1 P NP_001014431.1,NP_001014432.1 , NP_005154.2, yyy 577 phospho-PKB (pSer473) P4112 207 AKT1 P NP_001014431.1,NP_001014432.1 , NP_005154.2, n/d y y 578 phospho-PKB (pThr308) P3862 207 AKT1 P NP_001014431.1,NP_001014432.1 , NP_005154.2, n/d y y 22 Annexin V A8604 308 ANXA5 M NP_001145.1 y n/d n/d 23 Annexin VII A4475 310 ANXA7 M NP_001147.1 yyy 29 Apaf1, N-Terminal A8469 317 APAF1 P NP_001151.1 y y n/d 457 Mint2 M3319 321 APBA2 P NP_001123886.1 n/d n/d y 28 AP Endonuclease A2105 328 APEX1 M NP_001632.2,NP_542379.1,NP_542380.1 yyy 692 Survivin S8191 332 BIRC5 P NP_001012270.1 yyy 17 β-Amyloid A8354 351 APP M NP_000475.1,NP_001129488.1 ,NP_001129601.1 ,NP_001129602.1 ,NP_001129603.1 ,NP_001191230.1 ,NP_001191231.1 ,NP_001191232.1,NP_958816.1,NP_9 y n/d n/d 18 Amyloid Precursor Protein, C-Terminal A8717