Monochromosome Transfer and Microarray Analysis Identify a Critical Tumor-Suppressive Region Mapping to Chromosome 13Q14 and THSD1 in Esophageal Carcinoma

Total Page:16

File Type:pdf, Size:1020Kb

Monochromosome Transfer and Microarray Analysis Identify a Critical Tumor-Suppressive Region Mapping to Chromosome 13Q14 and THSD1 in Esophageal Carcinoma Monochromosome Transfer and Microarray Analysis Identify a Critical Tumor-Suppressive Region Mapping to Chromosome 13q14 and THSD1 in Esophageal Carcinoma Josephine M.Y. Ko,1 Pui Ling Chan,1 Wing Lung Yau,1 Ho Kin Chan,1 King Chi Chan,1 Zhuo You Yu,1 Fung Mei Kwong,1 Lance D. Miller,6 Edison T. Liu,6 Li Chun Yang,1 Paulisally H.Y. Lo,1 Eric J. Stanbridge,7 Johnny C.O. Tang,2,3 Gopesh Srivastava,3 Sai Wah Tsao,4 Simon Law,5 and Maria L. Lung1 1Department of Biology and Center for Cancer Research, Hong Kong University of Science and Technology; 2Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University; Departments of 3Pathology, 4Anatomy, and 5Surgery, University of Hong Kong, Hong Kong (Special Administrative Region), People’s Republic of China; 6Cancer Biology and Pharmacology, Genome Institute of Singapore, Biomedical Sciences Institutes, Singapore; and 7Department of Microbiology and Molecular Genetics, University of California, Irvine, California Abstract 100% of ESCC and other cancer cell lines. Mechanisms Loss of chromosome 13q regions in esophageal for THSD1 silencing in ESCC involved loss of squamous cell carcinoma (ESCC) is a frequent event. heterozygosity and promoter hypermethylation, as Monochromosome transfer approaches provide analyzed by methylation-specific PCR and clonal direct functional evidence for tumor suppression by bisulfite sequencing. Transfection of wild-type THSD1 chromosome 13 in SLMT-1, an ESCC cell line, and into SLMT-1 resulted in significant reduction of identify critical regions at 13q12.3, 13q14.11, and colony-forming ability, hence providing functional 13q14.3. Differential gene expression profiles of three evidence for its growth-suppressive activity. These tumor-suppressing microcell hybrids (MCH) and findings suggest that THSD1 is a good candidate TSG. their tumorigenic parental SLMT-1 cell line were (Mol Cancer Res 2008;6(4):592–603) revealed by competitive hybridization using 19k cDNA oligonucleotide microarrays. Nine candidate 13q14 tumor-suppressor genes (TSG), including RB1, showed Introduction down-regulation in SLMT-1, compared with NE1, an Esophageal cancer is geographically diverse, with only a immortalized normal esophageal epithelial cell line; 10.7% 5-year survival rate (1). Esophageal squamous cell carci- their average gene expression was restored in MCHs noma (ESCC) is the major histologic form. ESCC molecular compared with SLMT-1. Reverse transcription-PCR pathogenesis still remains poorly understood. validated gene expression levels in MCHs and a Chromosome 13q deletions are frequent events in several panel of ESCC cell lines. Results suggest that the human cancers, including ESCC (2, 3), nasopharyngeal (4), and tumor-suppressing effect is not attributed to RB1, lung (5) cancers. This current study is the first functional study but instead likely involves thrombospondin type I of the tumor-suppressive role of chromosome 13 in ESCC and domain-containing 1 (THSD1), a novel candidate TSG is initiated by the high-frequency ESCC chromosome 13q mapping to 13q14. Quantitative reverse transcription- losses detected by comparative genomic hybridization (3) and PCR detected down-regulation of THSD1 expression in loss of heterozygosity (LOH) studies (2, 6-9). Comparative genomic hybridization analysis showed 100% losses on chromosome 13q in 17 ESCC cases (3). The extremely high 13q loss was independently verified in genome-wide LOH Received 4/4/07; revised 11/4/07; accepted 12/20/07. studies (2), with 95% of 77 13q markers showing LOH. Thus, Grant support: Research Grants Council of the Hong Kong Special Administration Region, China (M.L. Lung), for The Hong Kong University of functional inactivation of TSGs on chromosome 13q is likely Science and Technology 6415/06M grant. key to ESCC development. The costs of publication of this article were defrayed in part by the payment of Monochromosome transfer into tumorigenic cell lines allows page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. functional complementation of existing defects and study of Note: Supplementary data for this article are available at Molecular Cancer tumor-suppressive effects driven by native endogenous regula- Research Online (http://mcr.aacrjournals.org/). tory environments, with control of single gene copy number Requests for reprints: Maria Li Lung, Department of Biology and Center for Cancer Research, Hong Kong University of Science and Technology, Clear Water gains more closely mimicking normal physiologic levels. Our Bay, Kowloon, Hong Kong (Special Administrative Region), People’s Republic previous studies identified tumor-suppressive regions localized of China. Phone: 852-2358-7307; Fax: 852-2358-1559. E-mail: [email protected] Copyright D 2008 American Association for Cancer Research. to 3p14 (10), 9q33-34 (11), and 14q32 (12) in the ESCC cell doi:10.1158/1541-7786.MCR-07-0154 line SLMT-1. This present study examines the tumor-suppressive 592 Mol Cancer Res 2008;6(4). April 2008 Downloaded from mcr.aacrjournals.org on September 26, 2021. © 2008 American Association for Cancer Research. 13q14 Critical Region and THSD1 in Esophageal Cancer 593 FIGURE1. Chromosome 13 allelotyping of SLMT-1 with 50 markers revealed two regions of contiguous homozygosity in SLMT-1, one with 10 markers at 13q12.11-13q12.3 and the other with 27 markers from the 13q13.3 region to the telomeric end of chromosome 13q. Microsatellite typing – deletion mapping analysis of chromosome 13 MCHs and TSs delineated four CRs within regions 13q12.3 (CR1 at D13S1299-D13S1229 and CR2 at D13S1226), 13q14.11 (CR3 at D13S263), and 13q14.3 (CR4 at D13S133, which is 0.292 Mb from THSD1) due to nonrandom loss at specific markers in the TSs. The presence (o), endogenous loss ( ), and exogenous loss (.) of markers are depicted. 1, homozygous allelic pattern; 2, heterozygous alleles are present in NE1, EC18, KYSE180, and SLMT-1;*, genes mapping to this region. Mol Cancer Res 2008;6(4). April 2008 Downloaded from mcr.aacrjournals.org on September 26, 2021. © 2008 American Association for Cancer Research. 594 Ko et al. role of chromosome 13 in SLMT-1. Comparative differential 13 transfer into MCH13-111, MCH13-113, and MCH13-117 gene expression observed after competitive hybridization in (Supplementary Fig. S1). cDNA oligonucleotide microarrays of the tumorigenic parental PCR microsatellite typing confirmed the presence of donor cell line and three tumor-suppressing chromosome 13 micro- and recipient alleles, validating the successful transfer of cell hybrids (MCH) identified novel candidate TSGs. chromosome 13 into SLMT-1 in three MCH13 cell lines. Of Thrombospondin type I domain-containing 1 (THSD1), at 50 microsatellite markers, 37 were informative. An ideogram 13q14.3, showed 100% down-regulation in a panel of 18 ESCC summarizes the genotyping results (Fig. 1). and other cancer cell lines. Transfection of wild-type THSD1 into SLMT-1 significantly reduced colony formation, provid- Tumorigenicity Assay of MCH Cell Lines ing functional evidence for growth-suppressive activity. Statistically significant delays in tumor growth kinetics and The current data indicate that the mechanism for THSD1 reduced tumor sizes were observed with all three chromosome down-regulation in ESCC involved both LOH and epigenetic 13 hybrids compared with the parental cell line (Fig. 2A). The silencing. Demethylation treatment restored THSD1 expression tumorigenic potentials of MCH13-111 and MCH13-113 in THSD1 down-regulated ESCC cell lines; results from methylation-specific PCR (MSP) analysis of ESCC cell lines and bisulfite sequencing of the promoter region of THSD1 in both cell lines and primary tissues showed that loss of THSD1 expression could be partially attributed to hypermethylation in ESCC. Results Chromosome 13 Allelotyping of Cell Lines Fifty markers were used for allelotyping ESCC SLMT-1 and human chromosome 13 donor cell line, MCH204.3 (Fig. 1). SLMT-1 contained two regions of contiguous homozygosity, one with 10 markers at 13q12.11-13q12.3 and another with 27 markers at the 13q13.3 region to the telomeric end of chromosome 13q. The two consecutive homozygous regions only contain a single allele in each of the 37 loci studied. The random chance for this occurring in a diploid genome is small. These results suggest nearly a complete deletion of a single copy of chromosome 13 in SLMT-1 cells. The loss of 13q was not only observed molecularly by allelotyping but also by comparative genomic hybridization analysis (data not shown). Loss of one copy of nearly the entire chromosome 13 in SLMT-1 strongly suggested the presence of TSGs, based on the assumption that the relevant genes in the remaining allele would also be inactivated. Transfer of Human Chromosome 13 into an ESCC Cell Line Fluorescence in situ hybridization (FISH) of SLMT-1 using human chromosome 13 WCP probe showed one intact signal of chromosome 13 and six signals representing translocations to other chromosomes (Supplementary Fig. S1). None of the morphologies of chromosome 13 detected in the meta- phase spreads appeared normal. Using microcell-mediated chromosome transfer, eight chromosome 13 MCH cell lines were obtained. Screening by DNA slot blot hybridization confirmed that five MCHs were mouse DNA-free (data not shown). FIGURE2. A . Tumor growth kinetics of the tumorigenic recipient, SLMT-1, were compared with chromosome 13 MCHs: MCH13-111, FISH and Microsatellite Typing Analysis of Chromosome MCH13-113, and MCH13-117. Points, average volume of six inoculation sites. All three chromosome 13 MCH cell lines were tumor suppressive. 13 MCHs The tumor growth kinetics of the chromosome 13 MCHs were compared The distinctive acrocentric pattern of the transferred exo- with their corresponding tumor segregants, MCH13-111/TS2R and genous chromosome 13 in the metaphases of chromosome 13 MCH13-117/TS1L. B. Representative results of D13S133 microsatellite typing at CR4 for the recipient SLMT-1, donor MCH204.3, hybrid MCH13- MCHs enabled its precise identification. Whole chromosome 111, and tumor segregant MCH13-111/TS2R.
Recommended publications
  • Supplemental Table S1
    Entrez Gene Symbol Gene Name Affymetrix EST Glomchip SAGE Stanford Literature HPA confirmed Gene ID Profiling profiling Profiling Profiling array profiling confirmed 1 2 A2M alpha-2-macroglobulin 0 0 0 1 0 2 10347 ABCA7 ATP-binding cassette, sub-family A (ABC1), member 7 1 0 0 0 0 3 10350 ABCA9 ATP-binding cassette, sub-family A (ABC1), member 9 1 0 0 0 0 4 10057 ABCC5 ATP-binding cassette, sub-family C (CFTR/MRP), member 5 1 0 0 0 0 5 10060 ABCC9 ATP-binding cassette, sub-family C (CFTR/MRP), member 9 1 0 0 0 0 6 79575 ABHD8 abhydrolase domain containing 8 1 0 0 0 0 7 51225 ABI3 ABI gene family, member 3 1 0 1 0 0 8 29 ABR active BCR-related gene 1 0 0 0 0 9 25841 ABTB2 ankyrin repeat and BTB (POZ) domain containing 2 1 0 1 0 0 10 30 ACAA1 acetyl-Coenzyme A acyltransferase 1 (peroxisomal 3-oxoacyl-Coenzyme A thiol 0 1 0 0 0 11 43 ACHE acetylcholinesterase (Yt blood group) 1 0 0 0 0 12 58 ACTA1 actin, alpha 1, skeletal muscle 0 1 0 0 0 13 60 ACTB actin, beta 01000 1 14 71 ACTG1 actin, gamma 1 0 1 0 0 0 15 81 ACTN4 actinin, alpha 4 0 0 1 1 1 10700177 16 10096 ACTR3 ARP3 actin-related protein 3 homolog (yeast) 0 1 0 0 0 17 94 ACVRL1 activin A receptor type II-like 1 1 0 1 0 0 18 8038 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 1 0 0 0 0 19 8751 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 1 0 0 0 0 20 8728 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 1 0 0 0 0 21 81792 ADAMTS12 ADAM metallopeptidase with thrombospondin type 1 motif, 12 1 0 0 0 0 22 9507 ADAMTS4 ADAM metallopeptidase with thrombospondin type 1
    [Show full text]
  • CLASP2 Antibody Product Type
    PRODUCT INFORMATION Product name: CLASP2 antibody Product type: Primary antibodies Description: Rabbit polyclonal to CLASP2 Immunogen:3 synthetic peptides (human) conjugated to KLH Reacts with:Hu, Ms Tested applications:ELISA, WB and IF GENE INFORMATION Gene Symbol: CLASP2 Gene Name:cytoplasmic linker associated protein 2 Ensembl ID:ENSG00000163539 Entrez GeneID:23122 GenBank Accession number:AB014527 Swiss-Prot:O75122 Molecular weight of CLASP2: 165.9 & 108.6kDa Function:Microtubule plus-end tracking protein that promotes the stabilization of dynamic microtubules. Involved in the nucleation of noncentrosomal microtubules originating from the trans-Golgi network (TGN). Required for the polarization of the cytoplasmic microtubule arrays in migrating cells towards the leading edge of the cell. May act at the cell cortex to enhance the frequency of rescue of depolymerizing microtubules by attaching their plus- ends to cortical platforms composed of ERC1 and PHLDB2. This cortical microtubule stabilizing activity is regulated at least in part by phosphatidylinositol 3-kinase signaling. Also performs a similar stabilizing function at the kinetochore which is essential for the bipolar alignment of chromosomes on the mitotic spindle. Acts as a mediator of ERBB2- dependent stabilization of microtubules at the cell cortex. Expected subcellular localization:Cytoplasm › cytoskeleton. Cytoplasm › cytoskeleton › microtubule organizing center › centrosome. Chromosome › centromere › kinetochore. Cytoplasm › cytoskeleton › spindle. Golgi apparatus. Golgi apparatus › trans-Golgi network. Cell membrane. Cell projection › ruffle membrane. Note: Localizes to microtubule plus ends. Localizes to centrosomes, kinetochores and the mitotic spindle from prometaphase. Subsequently localizes to the spindle midzone from anaphase and to the midbody from telophase. In migrating cells localizes to the plus ends of microtubules within the cell body and to the entire microtubule lattice within the lamella.
    [Show full text]
  • Noninvasive Sleep Monitoring in Large-Scale Screening of Knock-Out Mice
    bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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-ND 4.0 International license. Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes Shreyas S. Joshi1*, Mansi Sethi1*, Martin Striz1, Neil Cole2, James M. Denegre2, Jennifer Ryan2, Michael E. Lhamon3, Anuj Agarwal3, Steve Murray2, Robert E. Braun2, David W. Fardo4, Vivek Kumar2, Kevin D. Donohue3,5, Sridhar Sunderam6, Elissa J. Chesler2, Karen L. Svenson2, Bruce F. O'Hara1,3 1Dept. of Biology, University of Kentucky, Lexington, KY 40506, USA, 2The Jackson Laboratory, Bar Harbor, ME 04609, USA, 3Signal solutions, LLC, Lexington, KY 40503, USA, 4Dept. of Biostatistics, University of Kentucky, Lexington, KY 40536, USA, 5Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA. 6Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA. *These authors contributed equally Address for correspondence and proofs: Shreyas S. Joshi, Ph.D. Dept. of Biology University of Kentucky 675 Rose Street 101 Morgan Building Lexington, KY 40506 U.S.A. Phone: (859) 257-2805 FAX: (859) 257-1717 Email: [email protected] Running title: Sleep changes in knockout mice bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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.
    [Show full text]
  • Mouse Phldb2 Knockout Project (CRISPR/Cas9)
    https://www.alphaknockout.com Mouse Phldb2 Knockout Project (CRISPR/Cas9) Objective: To create a Phldb2 knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Phldb2 gene (NCBI Reference Sequence: NM_001252442 ; Ensembl: ENSMUSG00000033149 ) is located on Mouse chromosome 16. 19 exons are identified, with the ATG start codon in exon 2 and the TAG stop codon in exon 19 (Transcript: ENSMUST00000076333). Exon 2 will be selected as target site. Cas9 and gRNA will be co-injected into fertilized eggs for KO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Mice homozygous for a conditional allele activated in neurons exhibit impaired LTP. Exon 2 starts from the coding region. Exon 2 covers 33.87% of the coding region. The size of effective KO region: ~1337 bp. The KO region does not have any other known gene. Page 1 of 9 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 19 Legends Exon of mouse Phldb2 Knockout region Page 2 of 9 https://www.alphaknockout.com Overview of the Dot Plot (up) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section upstream of Exon 2 is aligned with itself to determine if there are tandem repeats. Tandem repeats are found in the dot plot matrix. The gRNA site is selected outside of these tandem repeats. Overview of the Dot Plot (down) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section downstream of Exon 2 is aligned with itself to determine if there are tandem repeats.
    [Show full text]
  • Long-Range Chromosome Interactions Mediated by Cohesin Shape Circadian Gene Expression
    RESEARCH ARTICLE Long-Range Chromosome Interactions Mediated by Cohesin Shape Circadian Gene Expression Yichi Xu1,2, Weimin Guo1, Ping Li3, Yan Zhang3, Meng Zhao1,4, Zenghua Fan1,2, Zhihu Zhao3, Jun Yan1,4* 1 CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China, 2 University of Chinese Academy of Sciences, Shanghai, China, 3 Beijing Institute of Biotechnology, Beijing, China, 4 Institute of Neuroscience, State Key Laboratory a11111 of Neuroscience, CAS Center for Excellence in Brain Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China * [email protected] Abstract OPEN ACCESS Mammalian circadian rhythm is established by the negative feedback loops consisting of a Citation: Xu Y, Guo W, Li P, Zhang Y, Zhao M, Fan Z, et al. (2016) Long-Range Chromosome Interactions set of clock genes, which lead to the circadian expression of thousands of downstream Mediated by Cohesin Shape Circadian Gene genes in vivo. As genome-wide transcription is organized under the high-order chromosome Expression. PLoS Genet 12(5): e1005992. structure, it is largely uncharted how circadian gene expression is influenced by chromo- doi:10.1371/journal.pgen.1005992 some architecture. We focus on the function of chromatin structure proteins cohesin as well — Editor: Achim Kramer, Charité Universitätsmedizin as CTCF (CCCTC-binding factor) in circadian rhythm. Using circular chromosome confor- Berlin, GERMANY mation capture sequencing, we systematically examined the interacting loci of a Bmal1- Received: October 10, 2015 bound super-enhancer upstream of a clock gene Nr1d1 in mouse liver. These interactions Accepted: March 27, 2016 are largely stable in the circadian cycle and cohesin binding sites are enriched in the interac- Published: May 2, 2016 tome.
    [Show full text]
  • Frequent Variations in Cancer-Related Genes May Play Prognostic Role in Treatment of Patients with Chronic Myeloid Leukemia Alexander V
    Lavrov et al. BMC Genetics 2016, 17(Suppl 1):14 DOI 10.1186/s12863-015-0308-7 RESEARCH Open Access Frequent variations in cancer-related genes may play prognostic role in treatment of patients with chronic myeloid leukemia Alexander V. Lavrov1,2*, Ekaterina Y. Chelysheva3, Svetlana A. Smirnikhina1, Oleg A. Shukhov3, Anna G. Turkina3, Elmira P. Adilgereeva1 and Sergey I. Kutsev1,2 From The 7th International Young Scientists School “Systems Biology and Bioinformatics” (SBB’2015) Novosibirsk, Russia. 22-25 June 2015 Abstract Background: Genome variability of host genome and cancer cells play critical role in diversity of response to existing therapies and overall success in treating oncological diseases. In chronic myeloid leukemia targeted therapy with tyrosine kinase inhibitors demonstrates high efficacy in most of the patients. However about 15 % of patients demonstrate primary resistance to standard therapy. Whole exome sequencing is a good tool for unbiased search of genetic variations important for prognosis of survival and therapy efficacy in many cancers. We apply this approach to CML patients with optimal response and failure of tyrosine kinase therapy. Results: We analyzed exome variations between optimal responders and failures and found 7 variants in cancer- related genes with different genotypes in two groups of patients. Five of them were found in optimal responders: rs11579366, rs1990236, rs176037, rs10653661, rs3803264 and two in failures: rs3099950, rs9471966. These variants were found in genes associated with cancers (ANKRD35, DNAH9, MAGEC1, TOX3) or participating in cancer-related signaling pathways (THSD1, MORN2, PTCRA). Conclusion: We found gene variants which may become early predictors of the therapy outcome and allow development of new early prognostic tests for estimation of therapy efficacy in CML patients.
    [Show full text]
  • Genomic and Transcriptome Analysis Revealing an Oncogenic Functional Module in Meningiomas
    Neurosurg Focus 35 (6):E3, 2013 ©AANS, 2013 Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas XIAO CHANG, PH.D.,1 LINGLING SHI, PH.D.,2 FAN GAO, PH.D.,1 JONATHAN RUssIN, M.D.,3 LIYUN ZENG, PH.D.,1 SHUHAN HE, B.S.,3 THOMAS C. CHEN, M.D.,3 STEVEN L. GIANNOTTA, M.D.,3 DANIEL J. WEISENBERGER, PH.D.,4 GAbrIEL ZADA, M.D.,3 KAI WANG, PH.D.,1,5,6 AND WIllIAM J. MAck, M.D.1,3 1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; 2GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China; 3Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California; 4USC Epigenome Center, Keck School of Medicine, University of Southern California, Los Angeles, California; 5Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California; and 6Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California Object. Meningiomas are among the most common primary adult brain tumors. Although typically benign, roughly 2%–5% display malignant pathological features. The key molecular pathways involved in malignant trans- formation remain to be determined. Methods. Illumina expression microarrays were used to assess gene expression levels, and Illumina single- nucleotide polymorphism arrays were used to identify copy number variants in benign, atypical, and malignant me- ningiomas (19 tumors, including 4 malignant ones). The authors also reanalyzed 2 expression data sets generated on Affymetrix microarrays (n = 68, including 6 malignant ones; n = 56, including 3 malignant ones).
    [Show full text]
  • Caracterización De Complejos CDK-Ciclina Atípicos Humanos Eva Quandt Herrera
    Caracterización de complejos CDK-Ciclina atípicos humanos Eva Quandt Herrera ADVERTIMENT. La consulta d’aquesta tesi queda condicionada a l’acceptació de les següents condicions d'ús: La difusió d’aquesta tesi per mitjà del servei TDX (www.tesisenxarxa.net) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d’investigació i docència. No s’autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d’un lloc aliè al servei TDX. No s’autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora. ADVERTENCIA. La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del servicio TDR (www.tesisenred.net) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR. No se autoriza la presentación de su contenido en una ventana o marco ajeno a TDR (framing). Esta reserva de derechos afecta tanto al resumen de presentación de la tesis como a sus contenidos. En la utilización o cita de partes de la tesis es obligado indicar el nombre de la persona autora.
    [Show full text]
  • ID AKI Vs Control Fold Change P Value Symbol Entrez Gene Name *In
    ID AKI vs control P value Symbol Entrez Gene Name *In case of multiple probesets per gene, one with the highest fold change was selected. Fold Change 208083_s_at 7.88 0.000932 ITGB6 integrin, beta 6 202376_at 6.12 0.000518 SERPINA3 serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 3 1553575_at 5.62 0.0033 MT-ND6 NADH dehydrogenase, subunit 6 (complex I) 212768_s_at 5.50 0.000896 OLFM4 olfactomedin 4 206157_at 5.26 0.00177 PTX3 pentraxin 3, long 212531_at 4.26 0.00405 LCN2 lipocalin 2 215646_s_at 4.13 0.00408 VCAN versican 202018_s_at 4.12 0.0318 LTF lactotransferrin 203021_at 4.05 0.0129 SLPI secretory leukocyte peptidase inhibitor 222486_s_at 4.03 0.000329 ADAMTS1 ADAM metallopeptidase with thrombospondin type 1 motif, 1 1552439_s_at 3.82 0.000714 MEGF11 multiple EGF-like-domains 11 210602_s_at 3.74 0.000408 CDH6 cadherin 6, type 2, K-cadherin (fetal kidney) 229947_at 3.62 0.00843 PI15 peptidase inhibitor 15 204006_s_at 3.39 0.00241 FCGR3A Fc fragment of IgG, low affinity IIIa, receptor (CD16a) 202238_s_at 3.29 0.00492 NNMT nicotinamide N-methyltransferase 202917_s_at 3.20 0.00369 S100A8 S100 calcium binding protein A8 215223_s_at 3.17 0.000516 SOD2 superoxide dismutase 2, mitochondrial 204627_s_at 3.04 0.00619 ITGB3 integrin, beta 3 (platelet glycoprotein IIIa, antigen CD61) 223217_s_at 2.99 0.00397 NFKBIZ nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, zeta 231067_s_at 2.97 0.00681 AKAP12 A kinase (PRKA) anchor protein 12 224917_at 2.94 0.00256 VMP1/ mir-21likely ortholog
    [Show full text]
  • Human-Specific Tandem Repeat Expansion and Differential Gene Expression During Primate Evolution
    Human-specific tandem repeat expansion and differential gene expression during primate evolution Arvis Sulovaria, Ruiyang Lia, Peter A. Audanoa, David Porubskya, Mitchell R. Vollgera, Glennis A. Logsdona, Human Genome Structural Variation Consortium1, Wesley C. Warrenb, Alex A. Pollenc, Mark J. P. Chaissona,d, and Evan E. Eichlera,e,2 aDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195; bBond Life Sciences Center, University of Missouri, Columbia, MO 65201; cDepartment of Neurology, University of California, San Francisco, CA 94143; dQuantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089; and eHoward Hughes Medical Institute, University of Washington, Seattle, WA 98195 Edited by Stephen T. Warren, Emory University School of Medicine, Atlanta, GA, and approved October 1, 2019 (received for review July 17, 2019) Short tandem repeats (STRs) and variable number tandem repeats Despite their established importance in population genetics (VNTRs) are important sources of natural and disease-causing and disease association, tandem repeats, particularly VNTRs, variation, yet they have been problematic to resolve in reference are among the least characterized forms of genetic variation in genomes and genotype with short-read technology. We created a the human genome (13, 14). Their repetitive nature and some- framework to model the evolution and instability of STRs and VNTRs times extreme GC content make them particularly challenging to in apes. We phased and assembled 3 ape genomes (chimpanzee, sequence and assemble with standard whole-genome shotgun gorilla, and orangutan) using long-read and 10x Genomics linked- sequencing assembly strategies, including next generation se- read sequence data for 21,442 human tandem repeats discovered in quencing approaches that depend on bridge amplification (15).
    [Show full text]
  • Chamber-Enriched Gene Expression Profiles in Failing Human Hearts with Reduced Ejection Fraction
    www.nature.com/scientificreports OPEN Chamber‑enriched gene expression profles in failing human hearts with reduced ejection fraction Xin Luo1, Jun Yin1, Denise Dwyer2, Tracy Yamawaki1, Hong Zhou1, Hongfei Ge3, Chun‑Ya Han2, Artem Shkumatov4, Karen Snyder5, Brandon Ason3, Chi‑Ming Li1, Oliver Homann1 & Marina Stolina2* Heart failure with reduced ejection fraction (HFrEF) constitutes 50% of HF hospitalizations and is characterized by high rates of mortality. To explore the underlying mechanisms of HFrEF etiology and progression, we studied the molecular and cellular diferences in four chambers of non‑failing (NF, n = 10) and HFrEF (n = 12) human hearts. We identifed 333 genes enriched within NF heart subregions and often associated with cardiovascular disease GWAS variants. Expression analysis of HFrEF tissues revealed extensive disease‑associated transcriptional and signaling alterations in left atrium (LA) and left ventricle (LV). Common left heart HFrEF pathologies included mitochondrial dysfunction, cardiac hypertrophy and fbrosis. Oxidative stress and cardiac necrosis pathways were prominent within LV, whereas TGF‑beta signaling was evident within LA. Cell type composition was estimated by deconvolution and revealed that HFrEF samples had smaller percentage of cardiomyocytes within the left heart, higher representation of fbroblasts within LA and perivascular cells within the left heart relative to NF samples. We identifed essential modules associated with HFrEF pathology and linked transcriptome discoveries with human genetics fndings. This study contributes to a growing body of knowledge describing chamber‑specifc transcriptomics and revealed genes and pathways that are associated with heart failure pathophysiology, which may aid in therapeutic target discovery. By physiological function, the human heart is a muscular pump that circulates blood, perfusing tissues through- out the body.
    [Show full text]
  • Study of Z-Disc-Associated Signaling Networks in Skeletal Muscle Cells by Functional and Global Phosphoproteomics
    PHDTHESIS Study of Z-disc-associated Signaling Networks in Skeletal Muscle Cells by Functional and Global Phosphoproteomics Inaugural-Dissertation zur Erlangung der Doktorwürde der Fakultät für Biologie der Albert-Ludwigs-Universität Freiburg im Breisgau vorgelegt von Lena Reimann geboren in Bielefeld Freiburg im Breisgau 01.08.2016 Angefertigt am Institut für Biologie II AG Biochemie und Funktionelle Proteomforschung zellulärer Systeme unter der Leitung von Prof. Dr. Bettina Warscheid Dekan der Fakultät für Biologie: Prof. Dr. Wolfgang Driever Promotionsvorsitzender: Prof. Dr. Stefan Rotter Betreuer der Arbeit: Prof. Dr. Bettina Warscheid Referent: Prof. Dr. Bettina Warscheid Koreferent:Prof. Dr. Jörn Dengjel Drittprüfer: Prof. Dr. Gerald Radziwill Datum der mündlichen Prüfung:21.10.2016 ART IS I, science is we. - Claude Bernard Zusammenfassung Als essentielle, strukturgebende Komponente des Sarkomers spielt die Z-Scheibe eine maßge- liche Rolle für die Funktionalität der quergestreiften Muskulatur. Die stetige Identifizierung von neuen Z-Scheiben-lokalisierten Proteinen, sowie deren Relevanz in muskulären Krankheits- bildern, hat die Z-Scheibe zunehmend in den Fokus der aktuellen Forschung gerückt. Neben ihrer strukturgebenden Funktion zeigen neuere Studien, dass die Z-Scheibe ein Hotspot für Signalprozesse in Muskelzellen ist. Bisher gibt es jedoch keine globalen Untersuchungen zur Aufklärung der komplexen Signalwege assoziiert mit dieser Struktur. Um Z-Scheiben-assoziierte Signalprozesse näher zu charakterisieren, wurde im ersten Teil dieser Arbeit eine großangelegte Phosphoproteomstudie mit ausdifferenzierten, kon- trahierenden C2C12 Myotuben durchgeführt. Zu diesem Zweck wurden die tryptisch ver- dauten Proteine mittels SCX-Chromatographie fraktioniert. Die anschließende Phosphopep- tidanreicherung erfolgte mit Titandioxid, gefolgt von einer hochauflösenden massenspek- trometrischen Analyse. Insgesamt wurden 11.369 Phosphorylierungsstellen, darunter 586 in sarkomerischen Proteinen gefunden.
    [Show full text]