PQBP1, a Factor Linked to Intellectual Disability, Affects Alternative Splicing Associated with Neurite Outgrowth
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Genetic Variants Contribute to Gene Expression Variability in Humans
INVESTIGATION Genetic Variants Contribute to Gene Expression Variability in Humans Amanda M. Hulse* and James J. Cai*,†,1 *Interdisciplinary Program in Genetics and †Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas 77843-4458 ABSTRACT Expression quantitative trait loci (eQTL) studies have established convincing relationships between genetic variants and gene expression. Most of these studies focused on the mean of gene expression level, but not the variance of gene expression level (i.e., gene expression variability). In the present study, we systematically explore genome-wide association between genetic variants and gene expression variability in humans. We adapt the double generalized linear model (dglm) to simultaneously fit the means and the variances of gene expression among the three possible genotypes of a biallelic SNP. The genomic loci showing significant association between the variances of gene expression and the genotypes are termed expression variability QTL (evQTL). Using a data set of gene expression in lymphoblastoid cell lines (LCLs) derived from 210 HapMap individuals, we identify cis-acting evQTL involving 218 distinct genes, among which 8 genes, ADCY1, CTNNA2, DAAM2, FERMT2, IL6, PLOD2, SNX7, and TNFRSF11B, are cross-validated using an extra expression data set of the same LCLs. We also identify 300 trans-acting evQTL between .13,000 common SNPs and 500 randomly selected representative genes. We employ two distinct scenarios, emphasizing single-SNP and multiple-SNP effects on expression variability, to explain the formation of evQTL. We argue that detecting evQTL may represent a novel method for effectively screening for genetic interactions, especially when the multiple-SNP influence on expression variability is implied. -
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 Intellectual Disability Gene PQBP1 Rescues Alzheimer’S Disease
Molecular Psychiatry (2018) 23:2090–2110 https://doi.org/10.1038/s41380-018-0253-8 ARTICLE The intellectual disability gene PQBP1 rescues Alzheimer’s disease pathology 1 1 1 1 1 2 Hikari Tanaka ● Kanoh Kondo ● Xigui Chen ● Hidenori Homma ● Kazuhiko Tagawa ● Aurelian Kerever ● 2 3 3 4 1 1,5 Shigeki Aoki ● Takashi Saito ● Takaomi Saido ● Shin-ichi Muramatsu ● Kyota Fujita ● Hitoshi Okazawa Received: 9 May 2018 / Revised: 9 August 2018 / Accepted: 6 September 2018 / Published online: 3 October 2018 © The Author(s) 2018. This article is published with open access Abstract Early-phase pathologies of Alzheimer’s disease (AD) are attracting much attention after clinical trials of drugs designed to remove beta-amyloid (Aβ) aggregates failed to recover memory and cognitive function in symptomatic AD patients. Here, we show that phosphorylation of serine/arginine repetitive matrix 2 (SRRM2) at Ser1068, which is observed in the brains of early phase AD mouse models and postmortem end-stage AD patients, prevents its nuclear translocation by inhibiting interaction with T-complex protein subunit α. SRRM2 deficiency in neurons destabilized polyglutamine binding protein 1 (PQBP1), a causative gene for intellectual disability (ID), greatly affecting the splicing patterns of synapse-related genes, as 1234567890();,: 1234567890();,: demonstrated in a newly generated PQBP1-conditional knockout model. PQBP1 and SRRM2 were downregulated in cortical neurons of human AD patients and mouse AD models, and the AAV-PQBP1 vector recovered RNA splicing, the synapse phenotype, and the cognitive decline in the two mouse models. Finally, the kinases responsible for the phosphorylation of SRRM2 at Ser1068 were identified as ERK1/2 (MAPK3/1). -
Supp Material.Pdf
Simon et al. Supplementary information: Table of contents p.1 Supplementary material and methods p.2-4 • PoIy(I)-poly(C) Treatment • Flow Cytometry and Immunohistochemistry • Western Blotting • Quantitative RT-PCR • Fluorescence In Situ Hybridization • RNA-Seq • Exome capture • Sequencing Supplementary Figures and Tables Suppl. items Description pages Figure 1 Inactivation of Ezh2 affects normal thymocyte development 5 Figure 2 Ezh2 mouse leukemias express cell surface T cell receptor 6 Figure 3 Expression of EZH2 and Hox genes in T-ALL 7 Figure 4 Additional mutation et deletion of chromatin modifiers in T-ALL 8 Figure 5 PRC2 expression and activity in human lymphoproliferative disease 9 Figure 6 PRC2 regulatory network (String analysis) 10 Table 1 Primers and probes for detection of PRC2 genes 11 Table 2 Patient and T-ALL characteristics 12 Table 3 Statistics of RNA and DNA sequencing 13 Table 4 Mutations found in human T-ALLs (see Fig. 3D and Suppl. Fig. 4) 14 Table 5 SNP populations in analyzed human T-ALL samples 15 Table 6 List of altered genes in T-ALL for DAVID analysis 20 Table 7 List of David functional clusters 31 Table 8 List of acquired SNP tested in normal non leukemic DNA 32 1 Simon et al. Supplementary Material and Methods PoIy(I)-poly(C) Treatment. pIpC (GE Healthcare Lifesciences) was dissolved in endotoxin-free D-PBS (Gibco) at a concentration of 2 mg/ml. Mice received four consecutive injections of 150 μg pIpC every other day. The day of the last pIpC injection was designated as day 0 of experiment. -
WW Domains Provide a Platform for the Assembly of Multiprotein Networks† Robert J
MOLECULAR AND CELLULAR BIOLOGY, Aug. 2005, p. 7092–7106 Vol. 25, No. 16 0270-7306/05/$08.00ϩ0 doi:10.1128/MCB.25.16.7092–7106.2005 Copyright © 2005, American Society for Microbiology. All Rights Reserved. WW Domains Provide a Platform for the Assembly of Multiprotein Networks† Robert J. Ingham,1 Karen Colwill,1 Caley Howard,1 Sabine Dettwiler,2 Caesar S. H. Lim,1,3 Joanna Yu,1,3 Kadija Hersi,1 Judith Raaijmakers,1 Gerald Gish,1 Geraldine Mbamalu,1 Lorne Taylor,1 Benny Yeung,1 Galina Vassilovski,1 Manish Amin,1 Fu Chen,4 Liudmila Matskova,4 Go¨sta Winberg,4 Ingemar Ernberg,4 Rune Linding,1 Paul O’Donnell,1 Andrei Starostine,1 Walter Keller,2 Pavel Metalnikov,1Chris Stark,1 and Tony Pawson1,3* Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada1; Department of Molecular and Medical Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada3; Department of Cell Biology, Biozentrum, University of Basel, Klingelbergstrasse 70, CH-4056 Basel, Switzerland2; and Karolinska Institutet, Microbiology and Tumor Biology Center (MTC), SE-171 Stockholm, Sweden4 Received 8 April 2005/Returned for modification 5 May 2005/Accepted 22 May 2005 WW domains are protein modules that mediate protein-protein interactions through recognition of proline- rich peptide motifs and phosphorylated serine/threonine-proline sites. To pursue the functional properties of WW domains, we employed mass spectrometry to identify 148 proteins that associate with 10 human WW domains. Many of these proteins represent novel WW domain-binding partners and are components of multiprotein complexes involved in molecular processes, such as transcription, RNA processing, and cytoskel- etal regulation. -
Protein-Protein Interaction Network Alignment and Evolution
Protein-Protein Interaction Network Alignment and Evolution by Brian Man-Kin Law A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Computer Science University of Toronto © Copyright by Brian Law 2019 Protein-Protein Interaction Network Alignment and Evolution Brian Law Doctor of Philosophy Computer Science University of Toronto 2019 Abstract Network alignment is an emerging analysis method enabled by the rapid large-scale collection of protein-protein interaction data for many different species. As sequence alignment did for gene evolution, network alignment will hopefully provide new insights into network evolution and serve as a new bioinformatic tool for making biological inferences across species. Using new SH3 binding data from Saccharomyces cerevisiae , Caenorhabditis elegans , and Homo sapiens , I construct new interface-interaction networks and devise a new network alignment method for these networks. With appropriate parameterization, this method is highly successful at generating alignments that reflect known protein orthology information and contain high network topology overlap. However, close examination of the optimal parameterization reveals a heavy reliance on protein sequence similarity and fungibility of other data features, including network topology data, an observation that may also pertain to protein-protein interaction network alignment. Closer examination of interactomic data, along with established orthology data, reveals that protein-protein interaction conservation is quite low across multiple species, suggesting that the high network topology overlap achieved by contemporary network aligners is ill-advised if biological relevance of results is desired. Further consideration of gene duplication and protein ii binding sites reveal additional PPI evolution phenomena further reducing the network topology overlap expected in network alignments, casting doubt on the utility of network alignment metrics solely based on network topology. -
Specificity Profiles of Protein Recognition Domains in the Molecular Medicine
Aus dem Institut für Medizinische Immunologie der Medizinischen Fakultät Charité – Universitätsmedizin Berlin DISSERTATION Specificity Profiles of Protein Recognition Domains in the Molecular Medicine zur Erlangung des akademischen Grades Doctor rerum medicinalium (Dr. rer. medic.) vorgelegt der Medizinischen Fakultät Charité – Universitätsmedizin Berlin von Víctor E. Tapia Mancilla aus Valparaíso, Chile Datum der Promotion: .. 22.06.2014.......................... Inhaltsverzeichnis Zusammenfassung.................................................................................................................................................1 ABSTRAKT......................................................................................................................................................................1 ABSTRACT ....................................................................................................................................................................2 INTRODUCTION ............................................................................................................................................................3 Specificity Profiles......................................................................................................................................................3 BAG-Family Co-Chaperone Commitment in Proteostasis.........................................................................................4 The Intriguing Role of PQBP1 in X-LID.....................................................................................................................5 -
Mutations in the Polyglutamine Binding Protein 1 Gene Cause X
BRIEF COMMUNICATIONS 1. Schrimshaw, N.S. & Murray, E.B. Am. J. Clin. Nutr. 48, 1059–1179 (1988). 9. Dunner, S. et al. Genet. Sel. Evol. 35, 103–118 (2003). 2. Feldman, M.W. & Cavalli-Sforza, L.L. in Mathematical evolutionary theory (ed. 10. Loftus, R.T. et al. Mol. Ecol. 8, 2015–2022 (1999). Feldman, M.W.) 145–173 (Princeton University Press, Princeton, New Jersey, 11. MacHugh, D.E., Loftus, R.T., Cunningham, P. & Bradley, D.G. Anim. Genet. 29, 1989). 333–340 (1998). 3. Midgley, M.S. TRB Culture: The First Farmers of the North European Plain 12. Medjugorac, I., Kustermann, W., Lazar, P., Russ, I. & Pirchner, F. Anim. Genet. 25, (Edinburgh University Press, Edinburgh, 1992). 19–27 (1994). 4. Enattah, N.S. et al. Nat. Genet. 30, 233–237 (2002). 13. Troy, C. et al. Nature 410, 1088–1091 (2001). 5. Ward, R., Honeycutt, L. & Derr, J.N. Genetics 147, 1863–1872 (1997). 14. Hill, A.V., Jepson, A., Plebanski, M. & Gilbert, S.C. Philos. Trans. R. Soc. Lond. B 6. Dudd, S. & Evershed, P. Science 282, 1478–1480 (1998). Biol. Sci. 352, 1317–1325 (1997). 7. Balasse, M. & Tresset, A. J. Archaeol. Sci. 29, 853–859 (2002). 15. Zvelebil, M. in Archaeogenetics: DNA and the Population History of Europe (ed. 8. Tishkoff, S.A. et al. Science 293, 455–462 (2001). Boyle, K.) 57–79 (MacDonald Institute Cambridge, Cambridge, 2000). Mutations in the polyglutamine deleted in affected males of family N40 (ref. 4). In all families, these mutations segregated with the disease and were present in all oblig- binding protein 1 gene cause X- ate heterozygotes that we tested. -
TXNL4A Rabbit Pab
Leader in Biomolecular Solutions for Life Science TXNL4A Rabbit pAb Catalog No.: A10138 Basic Information Background Catalog No. The protein encoded by this gene is a member of the U5 small ribonucleoprotein particle A10138 (snRNP), and is involved in pre-mRNA splicing. This protein contains a thioredoxin-like fold and it is expected to interact with multiple proteins. Protein-protein interactions Observed MW have been observed with the polyglutamine tract-binding protein 1 (PQBP1). Mutations 13kDa in both the coding region and promoter region of this gene have been associated with Burn-McKeown syndrome, which is a rare disorder characterized by craniofacial Calculated MW dysmorphisms, cardiac defects, hearing loss, and bilateral choanal atresia. A 16kDa pseudogene of this gene is found on chromosome 2. Alternative splicing results in multiple transcript variants. Category Primary antibody Applications WB Cross-Reactivity Human, Mouse Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 10907 P83876 Immunogen Recombinant fusion protein containing a sequence corresponding to amino acids 1-142 of human TXNL4A (NP_006692.1). Synonyms TXNL4A;BMKS;DIB1;DIM1;SNRNP15;TXNL4;U5-15kD Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of various cell lines, using TXNL4A antibody (A10138) at 1:1000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. -
A New Microdeletion Syndrome Involving TBC1D24, ATP6V0C and PDPK1 Causes Epilepsy, Microcephaly and Developmental Delay. Bettina
Manuscript (All Manuscript Text Pages, including Title Page, References and Figure Legends) A new microdeletion syndrome involving TBC1D24, ATP6V0C and PDPK1 causes epilepsy, microcephaly and developmental delay. Bettina E Mucha1, Siddhart Banka2, Norbert Fonya Ajeawung3, Sirinart Molidperee3, Gary G Chen4, Mary Kay Koenig5, Rhamat B Adejumo5, Marianne Till6, Michael Harbord7, Renee Perrier8, Emmanuelle Lemyre9, Renee-Myriam Boucher10, Brian G Skotko11, Jessica L Waxler11, Mary Ann Thomas8, Jennelle C Hodge12, Jozef Gecz13, Jillian Nicholl14, Lesley McGregor14, Tobias Linden15, Sanjay M Sisodiya16, Damien Sanlaville6, Sau W Cheung17, Carl Ernst4, Philippe M Campeau9 1. Division of Medical Genetics, Department of Specialized Medicine, McGill University Health Centre, Montreal, QC, Canada. 2. Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, M13 9PL, Manchester, UK. 3. Centre de Recherche du CHU Sainte-Justine, Montreal, QC, Canada 4. Department of Psychiatry, McGill University, Montreal, Canada. 5. Department of Pediatrics, Division of Child & Adolescent Neurology, The University of Texas McGovern Medical School, Houston, Texas, USA. 6. Service de Génétique CHU de Lyon-GH Est, Lyon, France. 7. Department of Pediatrics, Flinders Medical Centre, Bedford Park, South Australia, Australia. ___________________________________________________________________ This is the author's manuscript of the article published in final edited form as: Mucha, B. E., Banka, S., Ajeawung, N. F., Molidperee, S., Chen, G. G., Koenig, M. K., … Campeau, P. M. (2018). A new microdeletion syndrome involving TBC1D24, ATP6V0C , and PDPK1 causes epilepsy, microcephaly, and developmental delay. Genetics in Medicine, 1. https://doi.org/10.1038/s41436-018-0290-3 8. Department of Medical Genetics, University of Calgary, Calgary, AB, Canada. -
UNDERSTANDING the ROLE of SPLICING FACTORS in CENTRIOLE DUPLICATION by Elizabeth Michelle Park a Dissertation Submitted to John
UNDERSTANDING THE ROLE OF SPLICING FACTORS IN CENTRIOLE DUPLICATION by Elizabeth Michelle Park A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland January 2020 © 2020 Elizabeth Park All rights reserved Abstract The centriole is a microtubule-based structure that forms the core of the centrosome, the major microtubule organizing center of the cell. Each centrosome contains precisely two centrioles that are surrounded by pericentriolar material that nucleates microtubules and plays crucial roles in the cell. Cycling cells undergo exactly one round of centriole duplication that is regulated numerically, spatially, and temporally alongside the duplication of the cell’s DNA. This regulation is important for cell health and viability, as aberrations in centriole number can lead to diseases such as cancer. The complete molecular mechanisms regulating centriole duplication have not yet been discovered. Recent work identified that a subset of splicing factors is required for centriole biogenesis. This revealed a previously unstudied means of post-transcriptional regulation that centriole proteins could undergo to ensure that the centriolar building blocks are translated in stoichiometrically appropriate amounts. While this subset of splicing factors was identified as playing a role in centriole duplication, the precise mechanism by which they regulate centriole biogenesis at the post transcriptional level was not identified. I sought to identify novel means of regulating centriole duplication. I uncovered an additional splicing factor, WBP11, that upon depletion, yields similar phenotypes to the depletion of the fourteen other splicing factors implicated in centriole biogenesis. I found that WBP11, SNW1, and likely other centriole-related splicing factors are required to splice out short, weak introns such as those found at the 3’ terminus of the TUBGCP6 pre-mRNA. -
X-Linked Mental Retardation: a Clinical Guide
JMG Online First, published on August 23, 2005 as 10.1136/jmg.2005.033043 J Med Genet: first published as 10.1136/jmg.2005.033043 on 23 August 2005. Downloaded from X-linked Mental Retardation: a clinical guide F Lucy Raymond University Lecturer and Honorary Consultant in Medical Genetics Running title: XLMR review http://jmg.bmj.com/ Cambridge Institute of Medical Research, Department of Medical Genetics, on September 30, 2021 by guest. Protected copyright. University of Cambridge, Addenbrookes Hospital Cambridge CB2 2XY, UK T: 44 (0) 1223 762609 F: 44 (0)1223 331206 Correspondence: [email protected] Key words: Mental Retardation; X chromosome; recurrence risks; X-linked; XLMR XLMR review 1 Copyright Article author (or their employer) 2005. Produced by BMJ Publishing Group Ltd under licence. J Med Genet: first published as 10.1136/jmg.2005.033043 on 23 August 2005. Downloaded from Abstract Mental retardation is more common in males than females in the population and the predominant cause of this is the presence of mutations in any one of 24 genes on the X chromosome. The prevalence of each gene as a cause of mental retardation is low and less common than Fragile X syndrome. Expansions in FMR1 are still the most common cause of X-linked mental retardation. Systematic screening of all other X- linked genes in X-linked families with mental retardation is currently not feasible in a clinical setting. This review discusses the phenotypes of genes that cause syndromic and non-syndromic mental retardation, as these may be the focus of more targeted mutation analysis: NLGN3, NLGN4, RPS6KA3(RSK2), OPHN1, ATRX, SLC6A8, ARX, SYN1, AGTR2, MECP2, PQBP1, SMCX and SLC16A2.