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Universidade Estadual De Campinas Instituto De Biologia
UNIVERSIDADE ESTADUAL DE CAMPINAS INSTITUTO DE BIOLOGIA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA CAMPINAS 2016 1 VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA Dissertação apresentada ao Instituto de Biologia da Universidade Estadual de Campinas como parte dos requisitos exigidos para a obtenção do Título de Mestra em Biologia Funcional e Molecular na área de concentração de Bioquímica. Dissertation presented to the Institute of Biology of the University of Campinas in partial fulfillment of the requirements for the degree of Master in Functional and Molecular Biology, in the area of Biochemistry. ESTE ARQUIVO DIGITAL CORRESPONDE À VERSÃO FINAL DA DISSERTAÇÃO DEFENDIDA PELA ALUNA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA E ORIENTADA PELO DANIEL MARTINS-DE-SOUZA. Orientador: Daniel Martins-de-Souza CAMPINAS 2016 2 Agência(s) de fomento e nº(s) de processo(s): CNPq, 151787/2F2014-0 Ficha catalográfica Universidade Estadual de Campinas Biblioteca do Instituto de Biologia Mara Janaina de Oliveira - CRB 8/6972 Saia-Cereda, Verônica Aparecida Monteiro, 1988- Sa21p O proteoma do corpo caloso da esquizofrenia / Verônica Aparecida Monteiro Saia Cereda. – Campinas, SP : [s.n.], 2016. Orientador: Daniel Martins de Souza. Dissertação (mestrado) – Universidade Estadual de Campinas, Instituto de Biologia. 1. Esquizofrenia. 2. Espectrometria de massas. 3. Corpo caloso. -
RESEARCH ARTICLE Body Weight-Dependent Troponin T Alternative Splicing Is Evolutionarily Conserved from Insects to Mammals and I
1523 The Journal of Experimental Biology 214, 1523-1532 © 2011. Published by The Company of Biologists Ltd doi:10.1242/jeb.051763 RESEARCH ARTICLE Body weight-dependent troponin T alternative splicing is evolutionarily conserved from insects to mammals and is partially impaired in skeletal muscle of obese rats Rudolf J. Schilder1,*, Scot R. Kimball1, James H. Marden2 and Leonard S. Jefferson1 1Department of Cellular and Molecular Physiology, The Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA 17033, USA and 2Department of Biology, The Pennsylvania State University, 208 Mueller Lab, University Park, PA 16802, USA *Author for correspondence ([email protected]) Accepted 19 January 2011 SUMMARY Do animals know at a physiological level how much they weigh, and, if so, do they make homeostatic adjustments in response to changes in body weight? Skeletal muscle is a likely tissue for such plasticity, as weight-bearing muscles receive mechanical feedback regarding body weight and consume ATP in order to generate forces sufficient to counteract gravity. Using rats, we examined how variation in body weight affected alternative splicing of fast skeletal muscle troponin T (Tnnt3), a component of the thin filament that regulates the actin–myosin interaction during contraction and modulates force output. In response to normal growth and experimental body weight increases, alternative splicing of Tnnt3 in rat gastrocnemius muscle was adjusted in a quantitative fashion. The response depended on weight per se, as externally attached loads had the same effect as an equal change in actual body weight. Examining the association between Tnnt3 alternative splicing and ATP consumption rate, we found that the Tnnt3 splice form profile had a significant association with nocturnal energy expenditure, independently of effects of weight. -
Bit.Bio Ioskeletal Myocytes Faqs
ioSkeletal Myocytes Early Access Product Catalogue no: EA1200 Frequently Asked Questions Doc no: NPI-0002-FAQ V-01 For research use only bit.bio The Dorothy Hodgkin Building Babraham Research Campus Cambridge CB22 3FH United Kingdom www.bit.bio Customer support: [email protected] [email protected] ioSkeletal Myocytes Questions adressed Early Access Product Catalogue no: EA1200 Shipping, ordering and delivery Frequently Asked Questions 1. What format will the cells be delivered to clients: Doc no: NPI-0002-FAQ V-01 frozen vials or pre-plated cells? 2. How can I contact you if I have a question? For research use only bit.bio Cell revival and experiments The Dorothy Hodgkin Building Babraham Research Campus 1. Are ioSkeletal Myocytes cells fully differentiated? Cambridge CB22 3FH 2. Can you propagate ioSkeletal Myocytes cells once received? United Kingdom 3. What seeding density do you recommend for the ioSkeletal Myocytes? www.bit.bio 4. How are cells cultivated? 5. How soon after delivery can ioSkeletal Myocytes be used for Customer support: [email protected] experiments? [email protected] Product information & quality control 1. Why is opti-ox better than other methods of cellular reprogramming? 2. What were the cells of origin for ioSkeletal Myocytes? 3. Do you have donor consent for the parental hiPSCs? 4. Do you use viral vectors to manufacture ioSkeletal Myocytes? 5. What is the host and transgene used to generate cells? 6. What substances other than KnockOut serum may be present in the freezing medium? 7. What quality control is performed on the ioSkeletal Myocytes? 8. How does bit.bio confirm its cell lines are free from contamination? 9. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Nuclear Envelope Laminopathies: Evidence for Developmentally Inappropriate Nuclear Envelope-Chromatin Associations
Nuclear Envelope Laminopathies: Evidence for Developmentally Inappropriate Nuclear Envelope-Chromatin Associations by Jelena Perovanovic M.S. in Molecular Biology and Physiology, September 2009, University of Belgrade M.Phil. in Molecular Medicine, August 2013, The George Washington University A Dissertation submitted to The Faculty of The Columbian College of Arts and Sciences of The George Washington University in partial fulfillment of the requirements for the degree of Doctor of Philosophy August 31, 2015 Dissertation directed by Eric P. Hoffman Professor of Integrative Systems Biology The Columbian College of Arts and Sciences of The George Washington University certifies that Jelena Perovanovic has passed the Final Examination for the degree of Doctor of Philosophy as of May 5, 2015. This is the final and approved form of the dissertation. Nuclear Envelope Laminopathies: Evidence for Developmentally Inappropriate Nuclear Envelope-Chromatin Associations Jelena Perovanovic Dissertation Research Committee: Eric P. Hoffman, Professor of Integrative Systems Biology, Dissertation Director Anamaris Colberg-Poley, Professor of Integrative Systems Biology, Committee Member Robert J. Freishtat, Associate Professor of Pediatrics, Committee Member Vittorio Sartorelli, Senior Investigator, National Institutes of Health, Committee Member ii © Copyright 2015 by Jelena Perovanovic All rights reserved iii Acknowledgments I am deeply indebted to countless individuals for their support and encouragement during the past five years of graduate studies. First and foremost, I would like to express my gratitude to my mentor, Dr. Eric P. Hoffman, for his unwavering support and guidance, and keen attention to my professional development. This Dissertation would not have been possible without the critical input he provided and the engaging environment he created. -
Transdifferentiation of Chicken Embryonic Cells Into Muscle Cells by the 3' Untranslated Region of Muscle Tropomyosin THOMAS J
Proc. Natl. Acad. Sci. USA Vol. 92, pp. 7520-7524, August 1995 Cell Biology Transdifferentiation of chicken embryonic cells into muscle cells by the 3' untranslated region of muscle tropomyosin THOMAS J. L'ECUYER*, PAUL C. TOMPACHt, ERIC MORRISt, AND ALICE B. FULTON*§ Departments of tBiochemistry, tOral and Maxillofacial Surgery, and *Pediatrics, University of Iowa, Iowa City, IA 52242 Communicated by Sheldon Penman, Massachusetts Institute of Technology, Cambridge, MA, May 3, 1995 ABSTRACT Transfection with a plasmid encoding the 3' Drosophila pattern formation is influenced by the 3' UTRs untranslated region (3' UTR) of skeletal muscle tropomyosin of nanos (23) and bicoid (24). The posterior determinant induces chicken embryonic fibroblasts to express skeletal nanos, important in abdominal segmentation, exerts its effect tropomyosin. Such cells become spindle shaped, fuse, and by its 3' UTR inhibiting maternal hb gene expression. Dro- express titin, a marker of striated muscle differentiation. sophila embryos acquire anterior-position determination by a Skeletal muscle tropomyosin and titin organize in sarcomeric gradient of bicoid protein; this gradient requires the 3' UTR arrays. When the tropomyosin 3' UTR is expressed in osteo- of bicoid mRNA. blasts, less skeletal muscle tropomyosin is expressed, and titin A 3' UTR can affect mineral metabolism. Eukaryotic sel- expression is delayed. Some transfected osteoblasts become enoproteins have sites within the 3' UTR that are critical for spindle shaped but do not fuse nor organize these proteins into selenocysteine incorporation in the coding region (25). An sarcomeres. Transfected cells expressing muscle tropomyosin iron response element within the ferritin and transferrin organize muscle and nonmuscle isoforms into the same struc- receptor transcripts allows the expression of these genes to be tures. -
Intrinsic Indicators for Specimen Degradation
Laboratory Investigation (2013) 93, 242–253 & 2013 USCAP, Inc All rights reserved 0023-6837/13 $32.00 Intrinsic indicators for specimen degradation Jie Li1, Catherine Kil1, Kelly Considine1, Bartosz Smarkucki1, Michael C Stankewich1, Brian Balgley2 and Alexander O Vortmeyer1 Variable degrees of molecular degradation occur in human surgical specimens before clinical examination and severely affect analytical results. We therefore initiated an investigation to identify protein markers for tissue degradation assessment. We exposed 4 cell lines and 64 surgical/autopsy specimens to defined periods of time at room temperature before procurement (experimental cold ischemic time (CIT)-dependent tissue degradation model). Using two-dimen- sional fluorescence difference gel electrophoresis in conjunction with mass spectrometry, we performed comparative proteomic analyses on cells at different CIT exposures and identified proteins with CIT-dependent changes. The results were validated by testing clinical specimens with western blot analysis. We identified 26 proteins that underwent dynamic changes (characterized by continuous quantitative changes, isoelectric changes, and/or proteolytic cleavages) in our degradation model. These changes are strongly associated with the length of CIT. We demonstrate these proteins to represent universal tissue degradation indicators (TDIs) in clinical specimens. We also devised and implemented a unique degradation measure by calculating the quantitative ratio between TDIs’ intact forms and their respective degradation- -
Troponin Variants in Congenital Myopathies: How They Affect Skeletal Muscle Mechanics
International Journal of Molecular Sciences Review Troponin Variants in Congenital Myopathies: How They Affect Skeletal Muscle Mechanics Martijn van de Locht , Tamara C. Borsboom, Josine M. Winter and Coen A. C. Ottenheijm * Department of Physiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Location VUmc, 1081 HZ Amsterdam, The Netherlands; [email protected] (M.v.d.L.); [email protected] (T.C.B.); [email protected] (J.M.W.) * Correspondence: [email protected]; Tel.: +31-(0)-20-444-8123 Abstract: The troponin complex is a key regulator of muscle contraction. Multiple variants in skeletal troponin encoding genes result in congenital myopathies. TNNC2 has been implicated in a novel congenital myopathy, TNNI2 and TNNT3 in distal arthrogryposis (DA), and TNNT1 and TNNT3 in nemaline myopathy (NEM). Variants in skeletal troponin encoding genes compromise sarcomere function, e.g., by altering the Ca2+ sensitivity of force or by inducing atrophy. Several potential therapeutic strategies are available to counter the effects of variants, such as troponin activators, introduction of wild-type protein through AAV gene therapy, and myosin modulation to improve muscle contraction. The mechanisms underlying the pathophysiological effects of the variants in skeletal troponin encoding genes are incompletely understood. Furthermore, limited knowledge is available on the structure of skeletal troponin. This review focusses on the physiology of slow and fast skeletal troponin and the pathophysiology of reported variants in skeletal troponin encoding genes. A better understanding of the pathophysiological effects of these variants, together with enhanced knowledge regarding the structure of slow and fast skeletal troponin, will direct the development of Citation: van de Locht, M.; treatment strategies. -
Ahn Supp. Fig. 1 AB 1.5 ARRDC4 1.5 ARRDC4 * * * 1.0 1.0
Ahn_Supp. Fig. 1 AB 1.5 ARRDC4 1.5 ARRDC4 * * * 1.0 1.0 * * 0.5 * 0.5 * * * Relative mRNA levels mRNA Relative Relative mRNA levels mRNA Relative 0.0 0.0 1.5 MLXIP (MondoA) 1.5 MLXIP (MondoA) 1.0 1.0 0.5 0.5 Relative mRNA levels mRNA Relative Relative mRNA levels mRNA Relative 0.0 0.0 MondoA MondoA 0124824 Starvation (6h) -++++++ Glucose Starvation (h) Refeeding (h) --0.51248 C 1.5 ARRDC4 1.5 MLXIP (MondoA) † Con # KD 1.0 1.0 0.5 0.5 * * * * Relative mRNA levels mRNA Relative Relative mRNA levels mRNA Relative * * 0.0 0.0 BasalStarvation Refeeding BasalStarvation Refeeding MondoA Con + + - - + + - - + + - - KD - - + + - - + + - - + + BasalStarvation Refeeding Supplemental Figure 1. Glucose-mediated regulation of ARRDC4 is dependent on MondoA in human skeletal myotubes. (A) (top) ARRDC4 and MLXIP (MondoA) mRNA levels were determined by qRT-PCR in human skeletal myotubes following deprivation of glucose at the indicated time (n=4). (bottom) Representative Western blot analysis of MondoA demonstrating the effect of glucose deprivation. *p<0.05 vs. 0h. (B) (top) ARRDC4 and MLXIP (MondoA) expression in human myotubes following a 6h glucose removal and refeeding at the times indicated (n=4). (bottom) Corresponding Western blot analysis. *p<0.05 vs Starvation 6h. (C) (top) Expression of ARRDC4 and MLXIP in human myotubes following deprivation and refeeding of glucose in the absence or presence of siRNA-mediated MondoA KD (n=4). (bottom) Corresponding Western blot analysis. *p<0.05 vs siControl. # p<0.05. § p<0.05. The data represents mean ± SD. All statistical significance determined by one-way ANOVA with Tukey multiple comparison post-hoc test. -
Ryr1 Deficiency in Congenital Myopathies Disrupts Excitation-Contraction Coupling
RyR1 Deficiency in Congenital Myopathies Disrupts Excitation-Contraction Coupling Haiyan Zhou1, Ori Rokach2, Lucy Feng1, Iulia Munteanu1, Kamel Mamchaoui3, Jo M. Wilmshurst4, Caroline Sewry1, Adnan Y. Manzur1, Komala Pillay5, Vincent Mouly2, Michael Duchen6, Heinz Jungbluth7,8,9, Susan Treves2,10* and Francesco Muntoni1* 1 Dubowitz Neuromuscular Centre, Institute of Child Health, University College London WC1N 1EH, UK. 2 Department of Anaesthesia and Biomedicine, Basel University and University Hospital Basel, 4031 Basel, Switzerland 3 UM76 Université Pierre et Marie Curie, UMRS974 INSERM, UMR 7215 CNRS, Institut de Myologie AIM, Groupe hospitalier Pitié-Salpétrière, 47 bd de I’Hôpital, 75013 Paris, France 4 Department of Paediatric Neurology, School of Child and Adolescent Health, University of Cape Town, Red Cross Children’s Hospital, Cape Town, South Africa 5 Department of Paediatric Pathology, School of Child and Adolescent Health, University of Cape Town, Red Cross Children’s Hospital, Cape Town, South Africa 6 Cell and Developmental Biology, University College London, London WC1E 6BT, UK 7 Department of Paediatric Neurology, Evelina Children’s Hospital, London SE1 7EH, UK 8 Clinical Neuroscience Division, IoP, King’s College, London, UK 9 Randall Division of Cell and Molecular Biophysics, Muscle Signalling Group, King's College London, UK 10 Department of Life Sciences, University of Ferrara, Ferrara, Italy 1 *To whom correspondence should be addressed. Emails: [email protected] (Tel: 0044- 2079052136; Fax: 0044-2079052832) and -
S1 Table Protein
S1 Table dFSHD12_TE dFSHD12_NE aFSHD51_TE aFSHD51_NE Accession Gene Protein H/L SD # bold H/L SD # bold H/L SD # bold H/L SD # bold Intermediate filament (or associated proteins) P17661 DES Desmin 0.91 N.D. 37 1.06 1.35 19 0.89 1,13 33 * 1.20 1.21 17 * P02545 LMNA Prelamin-A/C 0.90 1.25 30 * 1.07 1.26 20 0.96 1.23 34 1.21 1.24 19 * P48681 NES Nestin 0.91 N.D. 60 0.94 1.25 27 0.72 1.20 50 * 0.89 1.27 31 * P08670 VIM Vimentin 1.04 N.D. 35 1.24 1.24 14 * 1.21 1.18 36 * 1.39 1.17 16 * Q15149 PLEC Plectin-1 1.10 1.28 19 1.05 1.10 3 1.07 1.23 26 1.25 1.27 7 * P02511 CRYAB Alpha-crystallin B chain (HspB5) 1.47 1.17 2 1.17 2 1.14 1.12 2 Tubulin (or associated proteins) P62158 CALM1 Calmodulin (CaM) 0.83 0.00 1 0.93 0.00 1 Programmed cell death 6- Q8WUM4 PDCD6IP 1.34 0.00 1 interacting protein Q71U36 TUBA1A Tubulin α-1A chain (α-tubulin 3) 1.44 1.12 3 * Tubulin β chain (Tubulin β-5 P07437 TUBB 1.52 0.00 1 chain) Nuclear mitotic apparatus Q14980 NUMA1 0.68 0.00 1 0.75 0.00 1 protein 1 Microtubule-associated protein P27816 MAP4 1.10 1 4 Microtubule-associated protein P78559 MAP1A 0.76 0.00 1 1A Q6PEY2 TUBA3E Tubulin α-3E chain (α-tubulin 3E) 0.91 0.00 1 1.12 0.00 1 0.98 1.12 3 Tubulin β-2C chain (Tubulin β-2 P68371 TUBB2C 0.93 1.13 7 chain) Q3ZCM7 TUBB8 Tubulin β-8 chain 0.97 1.09 4 Serine P34897 SHMT2 hydroxymethyltransferase 0.93 0.00 1 (serine methylase) Cytoskeleton-associated protein Q07065 CKAP4 0.98 1.24 5 0.96 0.00 1 1.08 1.28 6 0.75 0.00 1 4 (p63) Centrosomal protein of 135 kDa Q66GS9 CEP135 0.84 0.00 1 (Centrosomal protein 4) Pre-B cell leukemia transcription Q96AQ6 PBXIP1 0.74 0.00 1 0.80 1 factor-interacting protein 1 T-complex protein 1 subunit P17897 TCP1 0.84 0.00 1 alpha (CCT-alpha) Cytoplasmic dynein Q13409 DYNC1I2 1.01 0.00 1 intermediate chain 2 (DH IC-2) Dynein heavy chain 3 (Dnahc3- Q8TD57 DNAH3 b) Microtubule-actin cross- linking Q9UPN3 MACF1 factor 1 (Trabeculin-alpha) Actin (or associated including myofibril-associated porteins) P60709 ACTB Actin, cytoplasmic 1 (β-actin) 1.11 N.D. -
Analysis of the Dystrophin Interactome
Analysis of the dystrophin interactome Dissertation In fulfillment of the requirements for the degree “Doctor rerum naturalium (Dr. rer. nat.)” integrated in the International Graduate School for Myology MyoGrad in the Department for Biology, Chemistry and Pharmacy at the Freie Universität Berlin in Cotutelle Agreement with the Ecole Doctorale 515 “Complexité du Vivant” at the Université Pierre et Marie Curie Paris Submitted by Matthew Thorley born in Scunthorpe, United Kingdom Berlin, 2016 Supervisor: Simone Spuler Second examiner: Sigmar Stricker Date of defense: 7th December 2016 Dedicated to My mother, Joy Thorley My father, David Thorley My sister, Alexandra Thorley My fiancée, Vera Sakhno-Cortesi Acknowledgements First and foremost, I would like to thank my supervisors William Duddy and Stephanie Duguez who gave me this research opportunity. Through their combined knowledge of computational and practical expertise within the field and constant availability for any and all assistance I required, have made the research possible. Their overarching support, approachability and upbeat nature throughout, while granting me freedom have made this year project very enjoyable. The additional guidance and supported offered by Matthias Selbach and his team whenever required along with a constant welcoming invitation within their lab has been greatly appreciated. I thank MyoGrad for the collaboration established between UPMC and Freie University, creating the collaboration within this research project possible, and offering research experience in both the Institute of Myology in Paris and the Max Delbruck Centre in Berlin. Vital to this process have been Gisele Bonne, Heike Pascal, Lidia Dolle and Susanne Wissler who have aided in the often complex processes that I am still not sure I fully understand.