Systematic Studies of All PIH Proteins in Zebrafish Reveal Their Distinct
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Bayesian Hierarchical Modeling of High-Throughput Genomic Data with Applications to Cancer Bioinformatics and Stem Cell Differentiation
BAYESIAN HIERARCHICAL MODELING OF HIGH-THROUGHPUT GENOMIC DATA WITH APPLICATIONS TO CANCER BIOINFORMATICS AND STEM CELL DIFFERENTIATION by Keegan D. Korthauer A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Statistics) at the UNIVERSITY OF WISCONSIN–MADISON 2015 Date of final oral examination: 05/04/15 The dissertation is approved by the following members of the Final Oral Committee: Christina Kendziorski, Professor, Biostatistics and Medical Informatics Michael A. Newton, Professor, Statistics Sunduz Kele¸s,Professor, Biostatistics and Medical Informatics Sijian Wang, Associate Professor, Biostatistics and Medical Informatics Michael N. Gould, Professor, Oncology © Copyright by Keegan D. Korthauer 2015 All Rights Reserved i in memory of my grandparents Ma and Pa FL Grandma and John ii ACKNOWLEDGMENTS First and foremost, I am deeply grateful to my thesis advisor Christina Kendziorski for her invaluable advice, enthusiastic support, and unending patience throughout my time at UW-Madison. She has provided sound wisdom on everything from methodological principles to the intricacies of academic research. I especially appreciate that she has always encouraged me to eke out my own path and I attribute a great deal of credit to her for the successes I have achieved thus far. I also owe special thanks to my committee member Professor Michael Newton, who guided me through one of my first collaborative research experiences and has continued to provide key advice on my thesis research. I am also indebted to the other members of my thesis committee, Professor Sunduz Kele¸s,Professor Sijian Wang, and Professor Michael Gould, whose valuable comments, questions, and suggestions have greatly improved this dissertation. -
ZMYND10 Functions in a Chaperone Relay During Axonemal Dynein Assembly
bioRxiv preprint doi: https://doi.org/10.1101/233718; this version posted December 13, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 ZMYND10 functions in a chaperone relay during axonemal dynein assembly. 2 3 Girish R Mali1,9 , Patricia Yeyati1, Seiya Mizuno2, Margaret A Keighren1, Petra zur Lage3, Amaya 4 Garcia-Munoz4, Atsuko Shimada5, Hiroyuki Takeda5, Frank Edlich6, Satoru Takahashi2,7, Alex von 5 Kreigsheim4,8, Andrew Jarman3 and Pleasantine Mill1,*. 6 7 1. MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of 8 Edinburgh, Edinburgh, UK, EH4 2XU 9 2. Laboratory Animal Resource Centre, University of Tsukuba, Tsukuba, Japan, 305-8575 10 3. Centre for Integrative Physiology, University of Edinburgh, Edinburgh, UK, EH8 9XD 11 4. Systems Biology Ireland, University College Dublin, Dublin, Ireland 12 5. Department of Biological Sciences, University of Tokyo, Tokyo, Japan, 113-0033 13 6. Institute for Biochemistry and Molecular Biology, University of Freiburg, Freiburg, Germany, 14 79104 15 7. Department of Anatomy and Embryology, Faculty of Medicine, University of Tsukuba, Tsukuba, 16 Japan, 305-8575 17 8. Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, University 18 of Edinburgh, Edinburgh, UK, EH4 2XU 19 9. Current address: MRC Laboratory of Molecular Biology, Cambridge, UK, CB2 0QH 20 * Corresponding author: [email protected] 21 22 23 24 25 26 27 28 29 30 31 1 bioRxiv preprint doi: https://doi.org/10.1101/233718; this version posted December 13, 2017. -
Supplementary Materials Functional Characterization of Rare RAB12
1 Supplementary materials Functional characterization of rare RAB12 variants and their role in musician’s and other dystonias Eva Hebert et al. Figure S1. Photograph of Individual L-10289 (mildly affected mother of the index patient from Family D) showing a 15-degree tilt of the trunk to the right as well as dystonic posturing of the right hand (involuntary flexion of the third to fifth finger and thumb and extension of the index finger). 2 Figure S2. TFRC colocalized with wildtype and mutant FLAG-RAB12. Immunofluorescent staining of fibroblasts expressing FLAG-RAB12 WT, p.Gly13Asp, or p.Ile196Val revealed predominant perinuclear localization of TFRC (red) which overlaps with the localization of FLAG-RAB12 (green) in all three cell lines (WT, p.Gly13Asp, p.Ile196Val). The nucleus was stained with DAPI (blue). Scale bar: 20µm. 3 Figure S3. Lysosomal degradation of the physiological dimeric TFRC was not affected by the RAB12 mutations. Western Blot analysis revealed the degradation of TFRC in patient fibroblasts with endogenous expression of RAB12 (a, b) in fibroblasts ectopically expressing FLAG-RAB12 (c, d), and in SH-SY5Y cells ectopically expressing FLAG-RAB12 (e, f). Cells were treated with Bafilomycin A1 for 24h. ß-actin served as loading control and for normalization. Bars in B, D, and F indicate means of three independent experiments ± SEM. ctrl control, WT wildtype 4 Figure S4. Relative LC3-II protein levels are marginally increased in SH-SY5Y cells overexpressing RAB12 Gly13Asp protein and p62 levels remained constant. a) Western Blot of proteins extracted from stably transfected SH-SY5Y cells. Expression of FLAG-tagged RAB12 WT equals the expression of mutated RAB12 proteins (Gly13Asp, I196Val) (lane 3, 5, 7). -
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. -
Utilization of Genomic Sequencing for Population Screening of Immunodeficiencies in the Newborn
© American College of Medical Genetics and Genomics ORIGINAL RESEARCH ARTICLE Utilization of genomic sequencing for population screening of immunodeficiencies in the newborn Ashleigh R. Pavey, MD1,2,3, Dale L. Bodian, PhD3, Thierry Vilboux, PhD3, Alina Khromykh, MD3, Natalie S. Hauser, MD3,4, Kathi Huddleston, PhD3, Elisabeth Klein, DNP3, Aaron Black, MS3, Megan S. Kane, PhD3, Ramaswamy K. Iyer, PhD3, John E. Niederhuber, MD3,5 and Benjamin D. Solomon, MD3,4,6 Purpose: Immunodeficiency screening has been added to many Results: WGS provides adequate coverage for most known state-directed newborn screening programs. The current metho- immunodeficiency-related genes. 13,476 distinct variants and dology is limited to screening for severe T-cell lymphopenia 8,502 distinct predicted protein-impacting variants were identified disorders. We evaluated the potential of genomic sequencing to in this cohort; five individuals carried potentially pathogenic augment current newborn screening for immunodeficiency, – variants requiring expert clinical correlation. One clinically including identification of non T cell disorders. asymptomatic individual was found genomically to have comple- Methods: We analyzed whole-genome sequencing (WGS) and ment component 9 deficiency. Of the symptomatic children, one clinical data from a cohort of 1,349 newborn–parent trios by was molecularly identified as having an immunodeficiency condi- genotype-first and phenotype-first approaches. For the genotype- tion and two were found to have other molecular diagnoses. first approach, we analyzed predicted protein-impacting variants in Conclusion: Neonatal genomic sequencing can potentially aug- 329 immunodeficiency-related genes in the WGS data. As a ment newborn screening for immunodeficiency. phenotype-first approach, electronic health records were used to identify children with clinical features suggestive of immunodefi- Genet Med advance online publication 15 June 2017 ciency. -
Establishment of the Early Cilia Preassembly Protein Complex
Establishment of the early cilia preassembly protein PNAS PLUS complex during motile ciliogenesis Amjad Horania,1, Alessandro Ustioneb, Tao Huangc, Amy L. Firthd, Jiehong Panc, Sean P. Gunstenc, Jeffrey A. Haspelc, David W. Pistonb, and Steven L. Brodyc aDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110; bDepartment of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO 63110; cDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110; and dDepartment of Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA 90033 Edited by Kathryn V. Anderson, Sloan Kettering Institute, New York, NY, and approved December 27, 2017 (received for review September 9, 2017) Motile cilia are characterized by dynein motor units, which preas- function of these proteins is unknown; however, missing dynein semble in the cytoplasm before trafficking into the cilia. Proteins motor complexes in the cilia of mutants and cytoplasmic locali- required for dynein preassembly were discovered by finding human zation (or absence in the cilia proteome) suggest a role in the mutations that result in absent ciliary motors, but little is known preassembly of dynein motor complexes. Studies in C. reinhardtii about their expression, function, or interactions. By monitoring show motor components in the cell body before transport to ciliogenesis in primary airway epithelial cells and MCIDAS-regulated flagella (22–25). However, the expression, interactions, and induced pluripotent stem cells, we uncovered two phases of expres- functions of preassembly proteins, as well as the steps required sion of preassembly proteins. An early phase, composed of HEATR2, for preassembly, are undefined. -
De Novo, Systemic, Deleterious Amino Acid Substitutions Are Common in Large Cytoskeleton‑Related Protein Coding Regions
BIOMEDICAL REPORTS 6: 211-216, 2017 De novo, systemic, deleterious amino acid substitutions are common in large cytoskeleton‑related protein coding regions REBECCA J. STOLL1, GRACE R. THOMPSON1, MOHAMMAD D. SAMY1 and GEORGE BLANCK1,2 1Department of Molecular Medicine, Morsani College of Medicine, University of South Florida; 2Immunology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA Received June 13, 2016; Accepted October 31, 2016 DOI: 10.3892/br.2016.826 Abstract. Human mutagenesis is largely random, thus large Introduction coding regions, simply on the basis of probability, represent relatively large mutagenesis targets. Thus, we considered Genetic damage is largely random and therefore tends to the possibility that large cytoskeletal-protein related coding affect the larger, functional regions of the human genome regions (CPCRs), including extra-cellular matrix (ECM) more frequently than the smaller regions (1). For example, coding regions, would have systemic nucleotide variants that a systematic study has revealed that cancer fusion genes, on are not present in common SNP databases. Presumably, such average, are statistically, significantly larger than other human variants arose recently in development or in recent, preceding genes (2,3). The large introns of potential cancer fusion genes generations. Using matched breast cancer and blood-derived presumably allow for many different productive recombina- normal datasets from the cancer genome atlas, CPCR single tion opportunities, i.e., many recombinations that would allow nucleotide variants (SNVs) not present in the All SNPs(142) for exon juxtaposition and the generation of hybrid proteins. or 1000 Genomes databases were identified. Using the Protein Smaller cancer fusion genes tend to be associated with the rare Variation Effect Analyzer internet-based tool, it was discov- types of cancer, for example EWS RNA binding protein 1 in ered that apparent, systemic mutations (not shared among Ewing's sarcoma. -
Next Generation Massively Parallel Sequencing of Targeted
ARTICLE Next generation massively parallel sequencing of targeted exomes to identify genetic mutations in primary ciliary dyskinesia: Implications for application to clinical testing Jonathan S. Berg, MD, PhD1,2, James P. Evans, MD, PhD1,2, Margaret W. Leigh, MD3, Heymut Omran, MD4, Chris Bizon, PhD5, Ketan Mane, PhD5, Michael R. Knowles, MD2, Karen E. Weck, MD1,6, and Maimoona A. Zariwala, PhD6 Purpose: Advances in genetic sequencing technology have the potential rimary ciliary dyskinesia (PCD) is an autosomal recessive to enhance testing for genes associated with genetically heterogeneous Pdisorder involving abnormalities of motile cilia, resulting in clinical syndromes, such as primary ciliary dyskinesia. The objective of a range of manifestations including situs inversus, neonatal this study was to investigate the performance characteristics of exon- respiratory distress at full-term birth, recurrent otitis media, capture technology coupled with massively parallel sequencing for chronic sinusitis, chronic bronchitis that may result in bronchi- 1–3 clinical diagnostic evaluation. Methods: We performed a pilot study of ectasis, and male infertility. The disorder is genetically het- four individuals with a variety of previously identified primary ciliary erogeneous, rendering molecular diagnosis challenging given dyskinesia mutations. We designed a custom array (NimbleGen) to that mutations in nine different genes (DNAH5, DNAH11, capture 2089 exons from 79 genes associated with primary ciliary DNAI1, DNAI2, KTU, LRRC50, RSPH9, RSPH4A, and TX- dyskinesia or ciliary function and sequenced the enriched material using NDC3) account for only approximately 1/3 of PCD cases.4 the GS FLX Titanium (Roche 454) platform. Bioinformatics analysis DNAH5 and DNAI1 account for the majority of known muta- was performed in a blinded fashion in an attempt to detect the previ- tions, and the other genes each account for a small number of ously identified mutations and validate the process. -
The Cytoskeleton of Giardia Lamblia
International Journal for Parasitology 33 (2003) 3–28 www.parasitology-online.com Invited review The cytoskeleton of Giardia lamblia Heidi G. Elmendorfa,*, Scott C. Dawsonb, J. Michael McCafferyc aDepartment of Biology, Georgetown University, 348 Reiss Building 37th and O Sts. NW, Washington, DC 20057, USA bDepartment of Molecular and Cell Biology, University of California Berkeley, 345 LSA Building, Berkeley, CA 94720, USA cDepartment of Biology, Johns Hopkins University, Integrated Imaging Center, Baltimore, MD 21218, USA Received 18 July 2002; received in revised form 18 September 2002; accepted 19 September 2002 Abstract Giardia lamblia is a ubiquitous intestinal pathogen of mammals. Evolutionary studies have also defined it as a member of one of the earliest diverging eukaryotic lineages that we are able to cultivate and study in the laboratory. Despite early recognition of its striking structure resembling a half pear endowed with eight flagella and a unique ventral disk, a molecular understanding of the cytoskeleton of Giardia has been slow to emerge. Perhaps most importantly, although the association of Giardia with diarrhoeal disease has been known for several hundred years, little is known of the mechanism by which Giardia exacts such a toll on its host. What is clear, however, is that the flagella and disk are essential for parasite motility and attachment to host intestinal epithelial cells. Because peristaltic flow expels intestinal contents, attachment is necessary for parasites to remain in the small intestine and cause diarrhoea, underscoring the essential role of the cytoskeleton in virulence. This review presents current day knowledge of the cytoskeleton, focusing on its role in motility and attachment. -
Antibody List 2014
Antibody List 2014 Office of Technology Transfer, DKFZ Terms and Conditions Terms and conditions for licensing DKFZ’s antibodies are available upon request. Disclaimer This antibody list is neither exhaustive nor qualifies as a commercial catalogue. DKFZ has prepared the contents of this list to the best of its knowledge and confirms to the best of its knowledge that the listed antibodies are created at or in cooperation with DKFZ. DKFZ does not warrant that any listed antibody is available. Moreover DKFZ does not warrant that any listed antibody and / or the use thereof is not protected by any third party rights. Contact: Office of Technology Transfer (T010) Deutsches Krebsforschungszentrum (DKFZ) German Cancer Research Center Im Neuenheimer Feld 280 69120 Heidelberg Germany E-mail: [email protected] Index MMP9 AATF Hexa-His MPO ABCB5 HIP128 Myo II AID HIP150 NET1 AGO1 HIPK-2 Nephrin AuroraC HIPPI NF1 APC Histone H1.0 NM-1 (NMy1) BPAG Histone H1.2 NMUR-2 BPV1 L1 Histone H1.3 NO-52 BPV1 E7 Histone H1.4 NO-66 BTG2 HLA-DM NO-145 CCDC103 HLA-DO NPHP1 CCR4 HLA-DP NPHP3 CCR8 HLA-DQ NPHP4 CCR9 HLA-DR NPM CCR10 HPV11 L1 Nup88 CD3 HPV11 E2 Nus/S-tag CD19 HPV16 L1 OCAB CD22 HPV16 L2 ODA7 CD23 HPV16 E5 PACS-1 CD37 HPV16 E6 PACT CD53 HPV16 E7 p16 CD56 HPV18 E6 p27KIP CD71 HPV18 E7 p53 CD171 (L1CAM) HPV20 E6 Pick CEACAM1 HPV20 E7 PKD1 Cep170 HPV27 E6 PIF Densin HPV27 E7 Plasminogen acitvator (PA) DLL4 HSC70 Podocin DNAH3 HSP70 PSA DNAH5 Jade1 PSMA DNAH8 JAM4 PTEN DNAH11 Ki67 RFP2 DNAse1 KTU RGS7 DSC2 LaminA RIP140 EGFR LaminB1 -
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 -
Cytoskeleton Cytoskeleton
CYTOSKELETON CYTOSKELETON The cytoskeleton is composed of three principal types of protein filaments: actin filaments, intermediate filaments, and microtubules, which are held together and linked to subcellular organelles and the plasma membrane by a variety of accessory proteins Muscle Contraction • Skeletal muscles are bundles of muscle fibers • Most of the cytoplasm consists of myofibrils, which are cylindrical bundles of two types of filaments: thick filaments of myosin (about 15 run in diameter) and thin filaments of actin (about 7 nm in diameter). • Each myofibril is organized as a chain of contractile units called sarcomeres, which are responsible for the striated appearance of skeletal and cardiac muscle. Structure of muscle cells Sarcomere • The ends of each sarcomere are defined by the Z disc. • Within each sarcomere, dark bands (called A bands because they are anisotropic when viewed with polarized light) alternate with light bands (called I bands for isotropic). • The I bands contain only thin (actin) filaments, whereas the A bands contain thick (myosin) filaments. • The myosin and actin filaments overlap in peripheral regions of the A band, whereas a middle region (called the H zone) contains only myosin. Muscle contraction • The basis for understanding muscle contraction is the sliding filament model, first proposed in 1954 both by Andrew Huxley and Ralph Niedergerke and by Hugh Huxley and Jean Hanson • During muscle contraction each sarcomere shortens, bringing the Z discs closer together. • There is no change in the width of the A band, but both the I bands and the H zone almost completely disappear. • These changes are explained by the actin and myosin filaments sliding past one another so that the actin filaments move into the A band and H zone.