A Novel Locus for Congenital Simple Microphthalmia Family Mapping to 17P12-Q12

Total Page:16

File Type:pdf, Size:1020Kb

A Novel Locus for Congenital Simple Microphthalmia Family Mapping to 17P12-Q12 Genetics A Novel Locus for Congenital Simple Microphthalmia Family Mapping to 17p12-q12 Zhengmao Hu,1,2,3 Changhong Yu,3,4,5 Jingzhi Li,1 Yiqiang Wang,4 Deyuan Liu,1 Xinying Xiang,1,2 Wei Su,1 Qian Pan,1 Lixin Xie,*,4 and Kun Xia*,1,2 PURPOSE. To investigate the etiology in a family with autosomal- opia (ϩ7.00 to ϩ13.00 D), a high lens-to-eye volume ratio, and dominant congenital simple microphthalmia of Chinese origin. a high incidence of angle-closure glaucoma after middle age. ETHODS Some normal adnexal elements and eyelids are usually pres- M . A whole-genome scan was performed by using 382 1 microsatellite DNA markers after the exclusion of reported ent. It is also a common symptom in some other ocular candidates linked to microphthalmia. Additional fluorescent abnormalities. Approximately 80% of microphthalmia cases markers were genotyped for fine mapping. To find out the occur as part of syndromes that include other systemic malfor- mations, especially cardiac defects, facial clefts, microcephaly, novel predisposing gene, 14 candidate genes including 2,3 CRYBA1 and NCOR1 were selected to screen for the mutation and hydrocephaly. The reported prevalence of anophthal- mia or microphthalmia at birth is 0.66 of 10,000 around the by the PCR direct-sequencing method. Genome-wide single- 4 nucleotide polymorphism (SNP) genotyping was performed to world and 0.3 of 10,000 in China. find out the pathogenetic copy number variation, as well. Epidemiologic studies have indicated that both heritable and environmental factors cause microphthalmia. Although the RESULTS. The most statistically significant linkage results were precise pathogenesis of microphthalmia is still unknown, stud- obtained at D17S1824 (maximum LOD score, 4.97, at recom- ies have demonstrated that it is a genetically heterogeneous bination fraction 0.00). Haplotype analyses supported the lo- disorder. Chromosomal abnormalities may result in syndromic cation of the disease-causing gene to a 21.57-cM interval be- microphthalmia. Studies of different microphthalmia cases and tween loci D17S900 and D17S1872 of chromosome 17, region pedigrees have linked it to different chromosomal regions and p12-q12. However, no mutation or CNV (copy number varia- monogenic causes. Autosomal-dominant microphthalmia ped- tion) was identified to be responsible for the microphthalmia igrees have been mapped to 2q11–14,5 3q26.3-q27 (SOX2),6 phenotype of this pedigree. 11p,1 11p13 (PAX6), 14q22 (OTX2),7 15q12-q15,8 and CONCLUSIONS. A novel suggestive linkage locus for congenital 22q11.2-q13.1 (CRYBA4).9 In some families, autosomal reces- microphthalmia was detected in a Chinese family. This link- sive microphthalmia has been linked to 2q37.1,10 11q23 age region provides a target for susceptibility gene (MFRP),11 14q24.3 (CHX10),12 14q32,13 and 18q21.3 (RAX).14 identification. (Invest Ophthalmol Vis Sci. 2011;52: X-linked anophthalmia pedigrees have been linked to Xp11.4 3425–3429) DOI:10.1167/iovs.10-6747 (BCOR)15 and Xq27-q28 (ANOP1).16 Here, we report a linkage and haplotype analysis that indi- icrophthalmia (OMIM 309700) is an ocular developmen- cates a novel locus responsible for microphthalmia. The pa- Mtal malformation characterized by unusually small eyes tients involved in this study were from a congenital simple (Online Mendelian Inheritance in Man; http://www.ncbi.nlm. microphthalmia family of Chinese origin in Shandong Prov- nih.gov/Omim/ National Center for Biotechnology Information ince. The karyotype in the affected family members was nor- [NCBI], Bethesda, MD). The major clinical characteristics in- mal. Several candidate loci and genes have been excluded in clude a short axial length (Ͻ20 mm), a high degree of hyper- our previous study.17 To identify the gene responsible for this family, we performed a whole-genome scan analysis and gene screening. Although no novel pathogenic mutation was found, From the 1The State Key Laboratory of Medical Genetics, Central these results may provide more data for further research into South University, Changsha, Hunan, China; 2The School of Biological the disease. Science and Technology, Central South University, Changsha, Hunan, China; the 4State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute, Qingdao, China; and the 5College of Medicine, Qingdao University, Qingdao, SUBJECTS AND METHODS China. 3These authors contributed equally to the work presented here Subjects and should therefore be regarded as equivalent authors. Supported by National Natural Science Foundation of China A five-generation Chinese family from Shandong Province in China that Grants 30630062, 81070081, and 81070759. had members with diagnosed microphthalmia was involved in the Submitted for publication October 19, 2010; revised December study (Fig. 1). Thirty-four family members underwent general physical 22, 2010; accepted January 17, 2011. and complete ophthalmic examinations. All family members did not Disclosure: Z. Hu, None; C. Yu, None; J. Li, None; Y. Wang, have any other physical anomalies. Nine microphthalmia patients ex- None; D. Liu, None; X. Xiang, None; W. Su, None; Q. Pan, None; L. pressed the same full phenotype as previously reported.1,18 They were Xie, None; K. Xia, None affected by isolated microphthalmia in an autosomal dominant trans- *Each of the following is a corresponding author: Lixin Xie, Shan- mission manner in both eyes with onset since birth. Detailed informa- dong Eye Institute, 5 Yanerdao Road, Qingdao, 266071, China; 17 [email protected]. tion is available in another publication. Kun Xia, The State Key Laboratory of Medical Genetics, Central South Peripheral blood samples from 28 individuals including 9 affected University, 110 Xiangya Road, Changsha, Hunan, China; family members (containing all patients) and 19 unaffected members [email protected]. were collected for further analysis. All participants gave written in- Investigative Ophthalmology & Visual Science, May 2011, Vol. 52, No. 6 Copyright 2011 The Association for Research in Vision and Ophthalmology, Inc. 3425 Downloaded from iovs.arvojournals.org on 10/01/2021 3426 Hu et al. IOVS, May 2011, Vol. 52, No. 6 FIGURE 1. Pedigree of the family studied and haplotypes obtained with 10 microsatellite DNA markers on chromosome 17. Solid symbols: affected individuals; open symbols: unaffected individuals. The sequence of markers is from centromere to telomere. The haplotype cosegregat- ing with the disorder is boxed. Ques- tion mark: genotype not deter- mined. formed consent in accordance with the Declaration of Helsinki before Multipoint analysis was computed (Genehunter-Modscore, ver. 3.0; they were enrolled in the study. http://linkage.rockefeller.edu/soft/gh/ Rockefeller University, New York, NY). Marker order and map distances were obtained from the Genotyping Marshfield genetic map. A 3-mL peripheral blood sample was taken from each individual after Haplotype Reconstruction informed consent was obtained. Genomic DNA was extracted by using The haplotype was constructed, using a commercial program (Cyrillic the standard phenol-chloroform method. Software, Lake Orion, MI) to define the borders of the cosegregating The whole-genome scan was performed by using 382 fluorescent region and then modifying it by hand. microsatellite markers in the 22 pairs of autosomes, with an average spacing of 10-cM scattering on the human genome (Prism Linkage Mutation Analysis Mapping Set Version 2.0; Applied Biosystems, Inc. [ABI], Foster City, CA). PCR was performed in a 5-␮L volume with 50 ng genomic DNA as After the whole-genome scan, a candidate approach was used to search a template, 0.5 ␮L PCR 10ϫ buffer, 0.1 ␮L dNTP mix (2.5 mM), 0.06 for possible candidate genes. The exons of candidate genes were ␮ ␮ L primers, 0.6 L MgCl2 (15 mM), 0.05 U Taq polymerase (AmpliTaq amplified by PCR, and the primers were designed on computer (Pre- Gold; ABI), and distilled water up to 5 ␮L. Thermal cycling was mier 5.0; Premier Biosoft, Palo Alto, CA). The PCR reaction included 1 performed (GeneAmp 2720; ABI) at 95°C for 12 minutes, then 15 ␮L (50 ng) genomic DNA, 1 ␮L (30 ng) each of the primers, 1 ␮L PCR ϫ cycles of 94°C for 30 seconds, 63°C for 1 minute, degrading 0.5°C per 10 buffer with MgCl2 (Roche Diagnostics, USA, Indianapolis, IN), cycle, and 72°C for 1 minute 50 seconds, followed by 24 cycles of 94°C 0.05 ␮L (5U) Taq polymerase (AmpliTaq Gold; ABI), and 5.85 ␮L for 30 seconds, 56°C for 1 minute, and 72°C for 1 minute 50 seconds, distilled water. Then, PCR products were purified with shrimp alkaline with a final extension of 72°C for 15 minutes. PCR products were phosphatase (Fermentas International, Glen Burnie, MD) and exonu- analyzed on an automated sequencer (model 3100; ABI). A GS400 size clease I (Fermentas International) for 85 minutes at 37°C to remove the standard was used as the internal standard and run in the same lane phosphoryl groups. The samples were then sequenced on an auto- with the markers. Alleles were then analyzed (GeneScan, ver. 3.0 and mated sequencer (model 3100; ABI) in both directions. GenoTyper ver. 3.7; ABI). In the fine mapping phase, additional To explore the possible pathogenetic role of copy number vari- fluorescent markers (D17S799, D17S900, D17S839, D17S261, ation (CNV), we performed genome-wide SNP genotyping D17S1843, D17S740, D17S953, D17S2196, D17S1288, D17S793, (Human660W-Quad BeadChip; Illumina, San Diego, CA). Affected D17S1871, D17S783, D17S1824, D17S1880, D17S1293, D17S1872, individuals III-8 and V-3 were genotyped according to the manufactur- D17S933, D17S92, and D17S1788) were selected from the Marshfield er’s guidelines. To call CNVs, we used the PennCNV algorithm (www. database (http://research.marshfieldclinic.org/ Marshfield Clinic, openbioinformatics.org, an unaffiliated repository of software), which Marshfield, WI). combines multiple sources of information, including log R ratio (LRR) and B allele frequency (BAF) at each SNP marker, along with SNP Linkage Analysis spacing and population frequency of the B allele to generate CNV calls.
Recommended publications
  • ERK Phosphorylation of MED14 in Promoter Complexes During Mitogen-Induced Gene Activation by Elk-1 Matthew D
    Published online 17 September 2013 Nucleic Acids Research, 2013, Vol. 41, No. 22 10241–10253 doi:10.1093/nar/gkt837 ERK phosphorylation of MED14 in promoter complexes during mitogen-induced gene activation by Elk-1 Matthew D. Galbraith1,2, Janice Saxton1,LiLi1, Samuel J. Shelton1,3, Hongmei Zhang1,4, Joaquin M. Espinosa2 and Peter E. Shaw1,* 1School of Biomedical Sciences, University of Nottingham, Queen’s Medical Centre, Nottingham, NG7 2UH, UK, 2Department of Molecular, Cellular and Developmental Biology, Howard Hughes Medical Institute, University of Colorado at Boulder, Boulder, CO 80309, USA, 3Department of Neurology, Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, CA 90089, USA and 4Department of Pharmacology, Ningxia Medical University, Yinchuan 750004, China Received March 22, 2013; Revised August 21, 2013; Accepted August 28, 2013 ABSTRACT INTRODUCTION The ETS domain transcription factor Elk-1 stimu- The specific and temporal co-ordination of gene expres- lates expression of immediate early genes (IEGs) in sion is a fundamental process of cell-based life with response to mitogens. These events require phos- patterns of gene expression controlling proliferation, dif- phorylation of Elk-1 by extracellular signal-regulated ferentiation and cell death. Immediate early gene (IEG) expression has revealed how crucial regulatory events kinase (ERK) and phosphorylation-dependent inter- revolve around the interface between pathway-specific action of Elk-1 with co-activators, including histone transcription factors and components of the transcription acetyltransferases and the Mediator complex. Elk-1 machinery, involving a plethora of protein interactions also recruits ERK to the promoters of its target and modifications (1,2).
    [Show full text]
  • UC Riverside UC Riverside Previously Published Works
    UC Riverside UC Riverside Previously Published Works Title Analysis of the Candida albicans Phosphoproteome. Permalink https://escholarship.org/uc/item/0663w2hr Journal Eukaryotic cell, 14(5) ISSN 1535-9778 Authors Willger, SD Liu, Z Olarte, RA et al. Publication Date 2015-05-01 DOI 10.1128/ec.00011-15 License https://creativecommons.org/licenses/by-nc-sa/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Analysis of the Candida albicans Phosphoproteome S. D. Willger,a Z. Liu,b R. A. Olarte,c M. E. Adamo,d J. E. Stajich,c L. C. Myers,b A. N. Kettenbach,b,d D. A. Hogana Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USAa; Department of Biochemistry, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USAb; Department of Plant Pathology and Microbiology, University of California, Riverside, California, USAc; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USAd Candida albicans is an important human fungal pathogen in both immunocompetent and immunocompromised individuals. C. albicans regulation has been studied in many contexts, including morphological transitions, mating competence, biofilm forma- tion, stress resistance, and cell wall synthesis. Analysis of kinase- and phosphatase-deficient mutants has made it clear that pro- tein phosphorylation plays an important role in the regulation of these pathways. In this study, to further our understanding of phosphorylation in C. albicans regulation, we performed a deep analysis of the phosphoproteome in C. albicans. We identified 19,590 unique peptides that corresponded to 15,906 unique phosphosites on 2,896 proteins.
    [Show full text]
  • Genes in a Refined Smith-Magenis Syndrome Critical Deletion Interval on Chromosome 17P11.2 and the Syntenic Region of the Mouse
    Downloaded from genome.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Article Genes in a Refined Smith-Magenis Syndrome Critical Deletion Interval on Chromosome 17p11.2 and the Syntenic Region of the Mouse Weimin Bi,1,6 Jiong Yan,1,6 Paweł Stankiewicz,1 Sung-Sup Park,1,7 Katherina Walz,1 Cornelius F. Boerkoel,1 Lorraine Potocki,1,3 Lisa G. Shaffer,1 Koen Devriendt,4 Małgorzata J.M. Nowaczyk,5 Ken Inoue,1 and James R. Lupski1,2,3,8 Departments of 1Molecular & Human Genetics, 2Pediatrics, Baylor College of Medicine, 3Texas Children’s Hospital, Houston, Texas 77030, USA; 4Centre for Human Genetics, University Hospital Gasthuisberg, Catholic University of Leuven, B-3000 Leuven, Belgium; 5Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario L8S 4J9, Canada Smith-Magenis syndrome (SMS) is a multiple congenital anomaly/mental retardation syndrome associated with behavioral abnormalities and sleep disturbance. Most patients have the same ∼4 Mb interstitial genomic deletion within chromosome 17p11.2. To investigate the molecular bases of the SMS phenotype, we constructed BAC/PAC contigs covering the SMS common deletion interval and its syntenic region on mouse chromosome 11. Comparative genome analysis reveals the absence of all three ∼200-kb SMS-REP low-copy repeats in the mouse and indicates that the evolution of SMS-REPs was accompanied by transposition of adjacent genes. Physical and genetic map comparisons in humans reveal reduced recombination in both sexes. Moreover, by examining the deleted regions in SMS patients with unusual-sized deletions, we refined the minimal Smith-Magenis critical region (SMCR) to an ∼1.1-Mb genomic interval that is syntenic to an ∼1.0-Mb region in the mouse.
    [Show full text]
  • 1 Supporting Information for a Microrna Network Regulates
    Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia.
    [Show full text]
  • Characterization of a 7.6-Mb Germline Deletion Encompassing the NF1 Locus and About a Hundred Genes in an NF1 Contiguous Gene Syndrome Patient
    European Journal of Human Genetics (2008) 16, 1459–1466 & 2008 Macmillan Publishers Limited All rights reserved 1018-4813/08 $32.00 www.nature.com/ejhg ARTICLE Characterization of a 7.6-Mb germline deletion encompassing the NF1 locus and about a hundred genes in an NF1 contiguous gene syndrome patient Eric Pasmant*,1,2, Aure´lie de Saint-Trivier2, Ingrid Laurendeau1, Anne Dieux-Coeslier3, Be´atrice Parfait1,2, Michel Vidaud1,2, Dominique Vidaud1,2 and Ivan Bie`che1,2 1UMR745 INSERM, Universite´ Paris Descartes, Faculte´ des Sciences Pharmaceutiques et Biologiques, Paris, France; 2Service de Biochimie et de Ge´ne´tique Mole´culaire, Hoˆpital Beaujon AP-HP, Clichy, France; 3Service de Ge´ne´tique Clinique, Hoˆpital Jeanne de Flandre, Lille, France We describe a large germline deletion removing the NF1 locus, identified by heterozygosity mapping based on microsatellite markers, in an 8-year-old French girl with a particularly severe NF1 contiguous gene syndrome. We used gene-dose mapping with sequence-tagged site real-time PCR to locate the deletion end points, which were precisely characterized by means of long-range PCR and nucleotide sequencing. The deletion is located on chromosome arm 17q and is exactly 7 586 986 bp long. It encompasses the entire NF1 locus and about 100 other genes, including numerous chemokine genes, an attractive in silico-selected cerebrally expressed candidate gene (designated NUFIP2, for nuclear fragile X mental retardation protein interacting protein 2; NM_020772) and four microRNA genes. Interestingly, the centromeric breakpoint is located in intron 4 of the PIPOX gene (pipecolic acid oxidase; NM_016518) and the telomeric breakpoint in intron 5 of the GGNBP2 gene (gametogenetin binding protein 2; NM_024835) coding a transcription factor.
    [Show full text]
  • Variation in Protein Coding Genes Identifies Information
    bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number.
    [Show full text]
  • Supplementary Materials
    Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine
    [Show full text]
  • Comprehensive Protein Interactome Analysis of a Key RNA Helicase: Detection of Novel Stress Granule Proteins
    Biomolecules 2015, 5, 1441-1466; doi:10.3390/biom5031441 OPEN ACCESS biomolecules ISSN 2218-273X www.mdpi.com/journal/biomolecules/ Article Comprehensive Protein Interactome Analysis of a Key RNA Helicase: Detection of Novel Stress Granule Proteins Rebecca Bish 1,†, Nerea Cuevas-Polo 1,†, Zhe Cheng 1, Dolores Hambardzumyan 2, Mathias Munschauer 3, Markus Landthaler 3 and Christine Vogel 1,* 1 Center for Genomics and Systems Biology, Department of Biology, New York University, 12 Waverly Place, New York, NY 10003, USA; E-Mails: [email protected] (R.B.); [email protected] (N.C.-P.); [email protected] (Z.C.) 2 The Cleveland Clinic, Department of Neurosciences, Lerner Research Institute, 9500 Euclid Avenue, Cleveland, OH 44195, USA; E-Mail: [email protected] 3 RNA Biology and Post-Transcriptional Regulation, Max-Delbrück-Center for Molecular Medicine, Berlin-Buch, Robert-Rössle-Str. 10, Berlin 13092, Germany; E-Mails: [email protected] (M.M.); [email protected] (M.L.) † These authors contributed equally to this work. * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-212-998-3976; Fax: +1-212-995-4015. Academic Editor: André P. Gerber Received: 10 May 2015 / Accepted: 15 June 2015 / Published: 15 July 2015 Abstract: DDX6 (p54/RCK) is a human RNA helicase with central roles in mRNA decay and translation repression. To help our understanding of how DDX6 performs these multiple functions, we conducted the first unbiased, large-scale study to map the DDX6-centric protein-protein interactome using immunoprecipitation and mass spectrometry. Using DDX6 as bait, we identify a high-confidence and high-quality set of protein interaction partners which are enriched for functions in RNA metabolism and ribosomal proteins.
    [Show full text]
  • Med9 (N-17): Sc-243449
    SAN TA C RUZ BI OTEC HNOL OG Y, INC . Med9 (N-17): sc-243449 BACKGROUND APPLICATIONS In mammalian cells, transcription is regulated in part by high molecular weight Med9 (N-17) is recommended for detection of Med9 of human origin by co-activating complexes that mediate signals between transcriptional activa - Western Blotting (starting dilution 1:200, dilution range 1:100-1:1000), tors and RNA polymerase II (Pol II). The mediator complex is one such multi- immunoprecipitation [1-2 µg per 100-500 µg of total protein (1 ml of cell protein structure that functions as a bridge between regulatory proteins and lysate)], immunofluorescence (starting dilution 1:50, dilution range 1:50- Pol II, thereby regulating Pol II-dependent transcription. Med9 (mediator com - 1:500) and solid phase ELISA (starting dilution 1:30, dilution range 1:30- plex subunit 9), also known as MED25, is a 146 amino acid nuclear protein 1:3000); non cross-reactive with other Med family members. and component of the mediator complex. Med9 directly interacts with Med4 Suitable for use as control antibody for Med9 siRNA (h): sc-94034, Med9 and is encoded by a gene that maps to human chromosome 17p11.2. Chromo- shRNA Plasmid (h): sc-94034-SH and Med9 shRNA (h) Lentiviral Particles: some 17 comprises over 2.5% of the human genome, encodes over 1,200 sc-94034-V. genes and is associated with two key tumor suppressor genes, namely, p53 and BRCA1. Molecular Weight of Med9: 16 kDa. Positive Controls: HeLa whole cell lysate: sc-2200, K-562 whole cell lysate: REFERENCES sc-2203 or Hep G2 cell lysate: sc-2227.
    [Show full text]
  • The KMT1A-GATA3-STAT3 Circuit Is a Novel Self-Renewal Signaling of Human Bladder Cancer Stem Cells Zhao Yang1, Luyun He2,3, Kais
    The KMT1A-GATA3-STAT3 circuit is a novel self-renewal signaling of human bladder cancer stem cells Zhao Yang1, Luyun He2,3, Kaisu Lin4, Yun Zhang1, Aihua Deng1, Yong Liang1, Chong Li2, 5, & Tingyi Wen1, 6, 1CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China 2Core Facility for Protein Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China 3CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China 4Department of Oncology, the Second Affiliated Hospital of Soochow University, Suzhou 215000, China 5Beijing Jianlan Institute of Medicine, Beijing 100190, China 6Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China Correspondence author: Tingyi Wen, e-mail: [email protected] Chong Li, e-mail: [email protected] Supplementary Figure S1. Isolation of human bladder cancer stem cells. BCMab1 and CD44 were used to isolate bladder cancer stem cells (BCSCs: BCMab1+CD44+) and bladder cancer non-stem cells (BCNSCs: BCMab1-CD44-) from EJ, samples #1 and #2 by flow cytometry. Supplementary Figure S2. Gene ontology analysis of downregulated genes of human BCSCs. (A) Pathway enrichment of 103 downregulated genes in BCSCs. (B) The seven downregulated genes in BCSCs participating in centromeric heterochromatin, mRNA-3’-UTR binding and translation regulator activity signaling pathways were validated by qRT-PCR. Data are presented as mean ± SD. P < 0.05; P < 0.01. Supplementary Figure S3. The expression of KMT1A is higher in human BC than that in peri-tumor tissues. (A) The expression of KMT1A was higher in BC samples than that in peri-tumors as assessed by immunohistochemistry, Scale bar = 50 m.
    [Show full text]
  • Exploring the Relationship Between Gut Microbiota and Major Depressive Disorders
    E3S Web of Conferences 271, 03055 (2021) https://doi.org/10.1051/e3sconf/202127103055 ICEPE 2021 Exploring the Relationship between Gut Microbiota and Major Depressive Disorders Catherine Tian1 1Shanghai American School, Shanghai, China Abstract. Major Depressive Disorder (MDD) is a psychiatric disorder accompanied with a high rate of suicide, morbidity and mortality. With the symptom of an increasing or decreasing appetite, there is a possibility that MDD may have certain connections with gut microbiota, the colonies of microbes which reside in the human digestive system. In recent years, more and more studies started to demonstrate the links between MDD and gut microbiota from animal disease models and human metabolism studies. However, this relationship is still largely understudied, but it is very innovative since functional dissection of this relationship would furnish a new train of thought for more effective treatment of MDD. In this study, by using multiple genetic analytic tools including Allen Brain Atlas, genetic function analytical tools, and MicrobiomeAnalyst, I explored the genes that shows both expression in the brain and the digestive system to affirm that there is a connection between gut microbiota and the MDD. My approach finally identified 7 MDD genes likely to be associated with gut microbiota, implicating 3 molecular pathways: (1) Wnt Signaling, (2) citric acid cycle in the aerobic respiration, and (3) extracellular exosome signaling. These findings may shed light on new directions to understand the mechanism of MDD, potentially facilitating the development of probiotics for better psychiatric disorder treatment. 1 Introduction 1.1 Major Depressive Disorder Major Depressive Disorder (MDD) is a mood disorder that will affect the mood, behavior and other physical parts.
    [Show full text]
  • Genomic Organization of the Approximately 1.5 Mb Smith
    European Journal of Human Genetics (2001) 9, 892 ± 902 ã 2001 Nature Publishing Group All rights reserved 1018-4813/01 $15.00 www.nature.com/ejhg ARTICLE Genomic organisation of the ~1.5 Mb Smith-Magenis syndrome critical interval: Transcription map, genomic contig, and candidate gene analysis Rebecca E Lucas1, Christopher N Vlangos1, Parimal Das4, Pragna I Patel4 and Sarah H Elsea*,1,2,3 1Genetics Graduate Program, Michigan State University, East Lansing, Michigan, MI 48824, USA; 2Department of Zoology, Michigan State University, East Lansing, Michigan, MI 48824, USA; 3Department of Pediatrics and Human Development, Michigan State University, East Lansing, Michigan, MI 48824, USA; 4Department of Neurology, Baylor College of Medicine, Houston, Texas, TX 77030, USA Smith-Magenis syndrome (SMS) is a multiple congenital anomalies/mental retardation syndrome associated with an interstitial deletion of chromosome 17 involving band p11.2. SMS is hypothesised to be a contiguous gene syndrome in which the phenotype arises from the haploinsufficiency of multiple, functionally-unrelated genes in close physical proximity, although the true molecular basis of SMS is not yet known. In this study, we have generated the first overlapping and contiguous transcription map of the SMS critical interval, linking the proximal 17p11.2 region near the SMS-REPM and the distal region near D17S740 in a minimum tiling path of 16 BACs and two PACs. Additional clones provide greater coverage throughout the critical region. Not including the repetitive sequences that flank the critical interval, the map is comprised of 13 known genes, 14 ESTs, and six genomic markers, and is a synthesis of Southern hybridisation and polymerase chain reaction data from gene and marker localisation to BACs and PACs and database sequence analysis from the human genome project high-throughput draft sequence.
    [Show full text]