A New Mouse Model Related to SCA14 Carrying a Pseudosubstrate Domain
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PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
Data Sheet 160-3P
Rudolf-Wissell-Str. 28a Background 37079 Göttingen, Germany Phone: +49 551-50556-0 Homer is a scaffolding protein of the post synaptic density (PSD) and enriched at excitatory synapses. Fax: +49 551-50556-384 The protein binds metabotropic glutamate receptors, TRPC1, proteins of the Shank family and others. E-mail: [email protected] By aggregating these proteins into clusters, Homer was suggested to organize distinct signalling Web: www.sysy.com domains. Homer 3 Three isoforms, Homer 1, 2 and 3 have been described. Each of these isoforms is subject to alternative splicing yielding the splice variants a, b, c, d. Cat.No. 160-3P; control protein, 100 µg protein (lyophilized) Data Sheet Selected General References Homer2 and Homer3 interact with amyloid precursor protein and inhibit Abeta production. Parisiadou L, Bethani I, Michaki V, Krousti K, Rapti G, Efthimiopoulos S Reconstitution/ 100 µg lyophilized protein. For reconstitution add 100 µl H2O to get a 1mg/ml Neurobiology of disease (2008) 303: 353-64. Storage solution in MBS. Then aliquot and store at -20°C until use. Differential expression of Homer family proteins in the developing mouse brain. For detailed information, see back of the data sheet. Shiraishi Y, Mizutani A, Yuasa S, Mikoshiba K, Furuichi T The Journal of comparative neurology (2004) 4734: 582-99. Immunogen Recombinant protein corresponding to AA 1 to 177 from rat Homer3 (UniProt Id: Q9Z2X5) Molecular characterisation of two structurally distinct groups of human homers, generated by extensive alternative splicing. Soloviev MM, Ciruela F, Chan WY, McIlhinney RA Recommended Optimal concentrations should be determined by the end-user. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid
The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid Leukemia Cells Supported Only by Exogenous Cytokines Is Associated with a Patient Subset with Adverse Outcome Annette K. Brenner, Elise Aasebø, Maria Hernandez-Valladares, Frode Selheim, Frode Berven, Ida-Sofie Grønningsæter, Sushma Bartaula-Brevik and Øystein Bruserud Supplementary Material S2 of S31 Table S1. Detailed information about the 68 AML patients included in the study. # of blasts Viability Proliferation Cytokine Viable cells Change in ID Gender Age Etiology FAB Cytogenetics Mutations CD34 Colonies (109/L) (%) 48 h (cpm) secretion (106) 5 weeks phenotype 1 M 42 de novo 241 M2 normal Flt3 pos 31.0 3848 low 0.24 7 yes 2 M 82 MF 12.4 M2 t(9;22) wt pos 81.6 74,686 low 1.43 969 yes 3 F 49 CML/relapse 149 M2 complex n.d. pos 26.2 3472 low 0.08 n.d. no 4 M 33 de novo 62.0 M2 normal wt pos 67.5 6206 low 0.08 6.5 no 5 M 71 relapse 91.0 M4 normal NPM1 pos 63.5 21,331 low 0.17 n.d. yes 6 M 83 de novo 109 M1 n.d. wt pos 19.1 8764 low 1.65 693 no 7 F 77 MDS 26.4 M1 normal wt pos 89.4 53,799 high 3.43 2746 no 8 M 46 de novo 26.9 M1 normal NPM1 n.d. n.d. 3472 low 1.56 n.d. no 9 M 68 MF 50.8 M4 normal D835 pos 69.4 1640 low 0.08 n.d. -
Statistical and Bioinformatic Analysis of Hemimethylation Patterns in Non-Small Cell Lung Cancer
Statistical and Bioinformatic Analysis of Hemimethylation Patterns in Non-Small Cell Lung Cancer Shuying Sun ( [email protected] ) Texas State University San Marcos https://orcid.org/0000-0003-3974-6996 Austin Zane Texas A&M University College Station Carolyn Fulton Schreiner University Jasmine Philipoom Case Western Reserve University Research article Keywords: Methylation, Hemimethylation, Lung Cancer, Bioinformatics, Epigenetics Posted Date: October 12th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-17794/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published on March 12th, 2021. See the published version at https://doi.org/10.1186/s12885-021-07990-7. Page 1/29 Abstract Background: DNA methylation is an epigenetic event involving the addition of a methyl-group to a cytosine-guanine base pair (i.e., CpG site). It is associated with different cancers. Our research focuses on studying non- small cell lung cancer hemimethylation, which refers to methylation occurring on only one of the two DNA strands. Many studies often assume that methylation occurs on both DNA strands at a CpG site. However, recent publications show the existence of hemimethylation and its signicant impact. Therefore, it is important to identify cancer hemimethylation patterns. Methods: In this paper, we use the Wilcoxon signed rank test to identify hemimethylated CpG sites based on publicly available non-small cell lung cancer methylation sequencing data. We then identify two types of hemimethylated CpG clusters, regular and polarity clusters, and genes with large numbers of hemimethylated sites. -
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 -
FAM82A2 (RMDN3) (NM 018145) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC209526L3 FAM82A2 (RMDN3) (NM_018145) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: FAM82A2 (RMDN3) (NM_018145) Human Tagged ORF Clone Tag: Myc-DDK Symbol: RMDN3 Synonyms: FAM82A2; FAM82C; ptpip51; RMD-3; RMD3 Vector: pLenti-C-Myc-DDK-P2A-Puro (PS100092) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC209526). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_018145 ORF Size: 1410 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 FAM82A2 (RMDN3) (NM_018145) Human Tagged ORF Clone – RC209526L3 OTI Disclaimer: Due to the inherent nature of this plasmid, standard methods to replicate additional amounts of DNA in E. coli are highly likely to result in mutations and/or rearrangements. Therefore, OriGene does not guarantee the capability to replicate this plasmid DNA. Additional amounts of DNA can be purchased from OriGene with batch-specific, full-sequence verification at a reduced cost. Please contact our customer care team at [email protected] or by calling 301.340.3188 option 3 for pricing and delivery. The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. -
Brain Region-Dependent Gene Networks Associated with Selective Breeding for Increased Voluntary Wheel-Running Behavior
UC Riverside UC Riverside Previously Published Works Title Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior. Permalink https://escholarship.org/uc/item/8c49g8fd Journal PloS one, 13(8) ISSN 1932-6203 Authors Zhang, Pan Rhodes, Justin S Garland, Theodore et al. Publication Date 2018 DOI 10.1371/journal.pone.0201773 Peer reviewed eScholarship.org Powered by the California Digital Library University of California RESEARCH ARTICLE Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior Pan Zhang1,2, Justin S. Rhodes3,4, Theodore Garland, Jr.5, Sam D. Perez3, Bruce R. Southey2, Sandra L. Rodriguez-Zas2,6,7* 1 Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 2 Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United a1111111111 States of America, 3 Beckman Institute for Advanced Science and Technology, Urbana, IL, United States of a1111111111 America, 4 Center for Nutrition, Learning and Memory, University of Illinois at Urbana-Champaign, Urbana, a1111111111 IL, United States of America, 5 Department of Evolution, Ecology, and Organismal Biology, University of a1111111111 California, Riverside, CA, United States of America, 6 Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 7 Carle Woese Institute for Genomic Biology, a1111111111 University of Illinois at Urbana-Champaign, Urbana, IL, United States of America * [email protected] OPEN ACCESS Abstract Citation: Zhang P, Rhodes JS, Garland T, Jr., Perez SD, Southey BR, Rodriguez-Zas SL (2018) Brain Mouse lines selectively bred for high voluntary wheel-running behavior are helpful models region-dependent gene networks associated with for uncovering gene networks associated with increased motivation for physical activity and selective breeding for increased voluntary wheel- other reward-dependent behaviors. -
Profound Functional and Molecular Diversity of Mitochondria Revealed by Cell Type-Specific Profiling in Vivo
bioRxiv preprint doi: https://doi.org/10.1101/403774; this version posted August 29, 2018. 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. Profound functional and molecular diversity of mitochondria revealed by cell type-specific profiling in vivo Authors: Caroline Fecher1,2,3,#, Laura Trovò1,2,#, Stephan A. Müller2,4, Nicolas Snaidero1,2, Jennifer Wettmarshausen5,6, Sylvia Heink7, Oskar Ortiz8,$, Ingrid Wagner9, Ralf Kühn8,$$, Jana Hartmann10, Rosa Maria Karl10, Arthur Konnerth10,11,12, Thomas Korn7,11, Wolfgang Wurst2,8,11,13, Doron Merkler9, Stefan F. Lichtenthaler2,4,11, Fabiana Perocchi5,6,11 and Thomas Misgeld1,2,11,12,* Affiliations: 1 Institute of Neuronal Cell Biology, Technical University of Munich, Germany 2 German Center for Neurodegenerative Diseases, Munich, Germany 3 Graduate School of Systemic Neuroscience, Ludwig-Maximilians University, Munich, Germany 4 Neuroproteomics, School of Medicine, Klinikum rechts der Isar, and Institute for Advanced Study, Technical University of Munich, Germany 5 Gene Center Munich, Ludwig-Maximilians University, Munich, Germany 6 Institute for Diabetes and Obesity, Helmholtz Zentrum München, Munich, Germany 7 Experimental Neuroimmunology, Klinikum rechts der Isar, Technical University of Munich, Germany 8 Institute of Developmental Genetics, Helmholtz Zentrum München, Munich, Germany 9 Department of -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
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. -
Homer1 Promotes Dendritic Spine Growth Through Ankyrin-G and Its Loss Reshapes the Synaptic Proteome
Molecular Psychiatry (2021) 26:1775–1789 https://doi.org/10.1038/s41380-020-00991-1 ARTICLE Homer1 promotes dendritic spine growth through ankyrin-G and its loss reshapes the synaptic proteome 1 1 2 1,5 2 Sehyoun Yoon ● Nicolas H. Piguel ● Natalia Khalatyan ● Leonardo E. Dionisio ● Jeffrey N. Savas ● Peter Penzes 1,3,4 Received: 22 February 2020 / Revised: 24 November 2020 / Accepted: 7 December 2020 / Published online: 4 January 2021 © The Author(s), under exclusive licence to Springer Nature Limited part of Springer Nature 2021. This article is published with open access Abstract Homer1 is a synaptic scaffold protein that regulates glutamatergic synapses and spine morphogenesis. HOMER1 knockout (KO) mice show behavioral abnormalities related to psychiatric disorders, and HOMER1 has been associated with psychiatric disorders such as addiction, autism disorder (ASD), schizophrenia (SZ), and depression. However, the mechanisms by which it promotes spine stability and its global function in maintaining the synaptic proteome has not yet been fully investigated. Here, we used computational approaches to identify global functions for proteins containing the Homer1-interacting PPXXF motif within the postsynaptic compartment. Ankyrin-G was one of the most topologically important nodes in the postsynaptic peripheral 1234567890();,: 1234567890();,: membrane subnetwork, and we show that one of the PPXXF motifs, present in the postsynaptically-enriched 190 kDa isoform of ankyrin-G (ankyrin-G 190), is recognized by the EVH1 domain of Homer1. We use proximity ligation combined with super- resolution microscopy to map the interaction of ankyrin-G and Homer1 to distinct nanodomains within the spine head and correlate them with spine head size.