WW Domains Provide a Platform for the Assembly of Multiprotein Networks† Robert J
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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. -
PQBP1, a Factor Linked to Intellectual Disability, Affects Alternative Splicing Associated with Neurite Outgrowth
Downloaded from genesdev.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press PQBP1, a factor linked to intellectual disability, affects alternative splicing associated with neurite outgrowth Qingqing Wang,1 Michael J. Moore,2 Guillaume Adelmant,3,4,5 Jarrod A. Marto,3,4,5 and Pamela A. Silver1,6,7 1Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA; 2Laboratory of Molecular Neuro- Oncology, The Rockefeller University, New York, New York 10065, USA; 3Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA; 4Blais Proteomics Center, 5Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA; 6Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02115, USA Polyglutamine-binding protein 1 (PQBP1) is a highly conserved protein associated with neurodegenerative disorders. Here, we identify PQBP1 as an alternative messenger RNA (mRNA) splicing (AS) effector capable of influencing splicing of multiple mRNA targets. PQBP1 is associated with many splicing factors, including the key U2 small nuclear ribonucleoprotein (snRNP) component SF3B1 (subunit 1 of the splicing factor 3B [SF3B] protein complex). Loss of functional PQBP1 reduced SF3B1 substrate mRNA association and led to significant changes in AS patterns. Depletion of PQBP1 in primary mouse neurons reduced dendritic outgrowth and altered AS of mRNAs enriched for functions in neuron projection development. Disease-linked PQBP1 mutants were deficient in splicing factor associations and could not complement neurite outgrowth defects. Our results indicate that PQBP1 can affect the AS of multiple mRNAs and indicate specific affected targets whose splice site determination may contribute to the disease phenotype in PQBP1-linked neurological disorders. -
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. -
The Hippo Pathway Target, YAP, Promotes Metastasis Through Its TEAD-Interaction Domain
The Hippo pathway target, YAP, promotes metastasis PNAS PLUS through its TEAD-interaction domain John M. Lamara, Patrick Sterna,1, Hui Liua,b,2, Jeffrey W. Schindlera,b, Zhi-Gang Jianga,c, and Richard O. Hynesa,b,c,3 cHoward Hughes Medical Institute, aKoch Institute for Integrative Cancer Research, and bDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139 Contributed by Richard O. Hynes, July 23, 2012 (sent for review February 28, 2012) The transcriptional coactivator Yes-associated protein (YAP) is 14-3-3 proteins (1, 9) and α-catenin (10, 11). LATS-mediated a major regulator of organ size and proliferation in vertebrates. phosphorylation of YAP also can promote YAP ubiquitination As such, YAP can act as an oncogene in several tissue types if its and subsequent proteasomal degradation (12). Several addi- activity is increased aberrantly. Although no activating mutations tional proteins are involved in Hippo pathway-dependent and in the yap1 gene have been identified in human cancer, yap1 is -independent regulation of YAP and TAZ, including the FERM located on the 11q22 amplicon, which is amplified in several hu- domain proteins Merlin/NF2 and FRMD6, the junctional pro- man tumors. In addition, mutations or epigenetic silencing of teins ZO-2 and AJUB, the polarity complex proteins Crumbs, members of the Hippo pathway, which represses YAP function, Angiomotin, Scribble, and KIBRA, and the protein phosphatases have been identified in human cancers. Here we demonstrate that, PP2A and ASPP1 (6–8). Thus, YAP protein levels and activity are in addition to increasing tumor growth, increased YAP activity is regulated tightly at multiple levels. -
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. -
High-Throughput Methods for Identification of Protein-Protein Interactions Involving Short Linear Motifs Cecilia Blikstad and Ylva Ivarsson*
Blikstad and Ivarsson Cell Communication and Signaling (2015) 13:38 DOI 10.1186/s12964-015-0116-8 REVIEW Open Access High-throughput methods for identification of protein-protein interactions involving short linear motifs Cecilia Blikstad and Ylva Ivarsson* Abstract Interactions between modular domains and short linear motifs (3–10 amino acids peptide stretches) are crucial for cell signaling. The motifs typically reside in the disordered regions of the proteome and the interactions are often transient, allowing for rapid changes in response to changing stimuli. The properties that make domain-motif interactions suitable for cell signaling also make them difficult to capture experimentally and they are therefore largely underrepresented in the known protein-protein interaction networks. Most of the knowledge on domain-motif interactions is derived from low-throughput studies, although there exist dedicated high-throughput methods for the identification of domain-motif interactions. The methods include arrays of peptides or proteins, display of peptides on phage or yeast, and yeast-two-hybrid experiments. We here provide a survey of scalable methods for domain-motif interaction profiling. These methods have frequently been applied to a limited number of ubiquitous domain families. It is now time to apply them to a broader set of peptide binding proteins, to provide a comprehensive picture of the linear motifs in the human proteome and to link them to their potential binding partners. Despite the plethora of methods, it is still a challenge for most approaches to identify interactions that rely on post-translational modification or context dependent or conditional interactions, suggesting directions for further method development. -
Phosphoserine/Threonine Binding Minireview Domains: You Can’T Pserious?
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Structure, Vol. 9, R33±R38, March, 2001, 2001 Elsevier Science Ltd. All rights reserved. PII S0969-2126(01)00580-9 PhosphoSerine/Threonine Binding Minireview Domains: You Can't pSERious? Michael B. Yaffe,*³ and Stephen J. Smerdon²³ 14-3-3 Proteins *Center for Cancer Research The term ª14-3-3º denotes a family of dimeric ␣-helical Massachusetts Institute of Technology pSer/Thr binding proteins present in high abundance in 77 Massachusetts Avenue, E18-580 all eukaryotic cells [1]. 14-3-3 proteins were the first Cambridge, Massachusetts 02139 molecules to be recognized as distinct pSer/Thr binding ² Division of Protein Structure proteins, forming tight complexes with phosphorylated National Institute for Medical Research ligands containing either of two sequence motifs, R[S/ The Ridgeway Ar]XpSXP and RX[Ar/S]XpSXP, respectively, where pS Mill Hill denotes both phosphoserine and phosphothreonine, London NW7 1AA and Ar denotes aromatic residues [2, 3]. In addition, a United Kingdom few 14-3-3 binding ligands have been identified whose sequences deviate significantly from these motifs or do not require phosphorylation for binding. Summary Over 50 distinct substrates have been identified that bind to 14-3-3, many of which play critical roles in regu- The fundamental biological importance of protein phos- lating progression through the cell cycle, activation of phorylation is underlined by the existence of more than the Erk1/2 subfamily of MAP kinases, initiation of apo- 500 protein kinase genes within the human genome. -
0085AD. Genes &
Cell Death and Differentiation (1999) 6, 883 ± 889 ã 1999 Stockton Press All rights reserved 13509047/99 $15.00 http://www.stockton-press.co.uk/cdd WW domain-containing FBP-30 is regulated by p53 1 ,1 Valerie Depraetere and Pierre Golstein* Introduction 1 Centre d'Immunologie INSERM-CNRS de Marseille-Luminy, Case 906, 13288 Subtractive approaches might be appropriate to clone cell Marseille Cedex 9, France death signalling genes in systems where PCD is dependent * corresponding author: Dr. Pierre Golstein, Centre d'Immunologie INSERM- on RNA synthesis,1±6 whereas many of the genes encoding CNRS de Marseille-Luminy, Case 906, 13288 Marseille Cedex 9, France. the cell death machinery, which is thought to be constitutively tel: +33 491269468; fax: +33 491269430; e-mail: [email protected] expressed in all cells,7 would not be identified by such a procedure. The aim of the present study was to look for genes Received 24.3.99; revised 17.6.99; accepted 13.7.99 the expression of which is induced upon g-irradiation and may Edited by B. Osborne lead to activation of the cell death program. Thymocytes were chosen as a model because of their high sensitivity to g- irradiation, and because g-irradiation-induced death of Abstract thymocytes is dependent upon p53 expression and upon RNA and protein synthesis.3,4 A subtractive cloning approach A subtractive cloning approach was used to clone genes was developed to clone genes which are up-regulated in g- transcriptionally induced in thymocytes undergoing pro- irradiated- as compared to untreated-wild-type murine grammed cell death after g-irradiation. -
WW Domains Olivier Staub and Daniela Rotin*
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Minireview 495 WW domains Olivier Staub and Daniela Rotin* WW domains are recently described protein–protein epithelial Na+ channel (ENaC) [8,9] were shown to associ- interaction modules; they bind to proline-rich ate in vitro and in living cells with the WW domains of sequences that usually also contain a tyrosine. These Nedd4 [8]. In the latter, each of the three subunits of the domains have been detected in several unrelated channel (a, b and g, ENaC) contains a single PY motif proteins, often alongside other domains. Recent located at the C terminus (PPPAY, PPPNY, PPP(R/K)Y, studies suggest that WW domains in specific proteins for a, b and g ENaC, respectively). The biological signifi- may play a role in diseases such as hypertension or cance of these ENaC–Nedd4 interactions is discussed muscular dystrophy. below. PY motifs have been identified in many other unrelated proteins, such as viral gag proteins, interleukin Addresses: The Hospital For Sick Children, Division of Respiratory receptors and several serine/threonine kinases [10], but Research, 555 University Avenue and Department of Biochemistry, the significance of these occurrences has still to be deter- University of Toronto, Toronto, Ontario M5G 1X8, Canada. mined. The PY motif differs from SH3-binding (xPpxP, *Corresponding author. E-mail: [email protected] where p is usually also a Pro) motifs [4,11], and accord- ingly, preliminary in vitro binding studies indicate it does Structure 4 15 May 1996, :495–499 not bind SH3-domains [7,8]. -
Learning Protein Constitutive Motifs from Sequence Data
Manuscript SUBMITTED TO eLife Learning PROTEIN CONSTITUTIVE MOTIFS FROM SEQUENCE DATA Jérôme Tubiana, Simona Cocco, Rémi Monasson LaborATORY OF Physics OF THE Ecole Normale Supérieure, CNRS & PSL Research, 24 RUE Lhomond, 75005 Paris, FrANCE AbstrACT Statistical ANALYSIS OF Evolutionary-rELATED PROTEIN SEQUENCES PROVIDES INSIGHTS ABOUT THEIR STRUCTURe, function, AND HISTORY. WE SHOW THAT Restricted Boltzmann Machines (RBM), DESIGNED TO LEARN COMPLEX high-dimensional DATA AND THEIR STATISTICAL FEATURes, CAN EffiCIENTLY MODEL PROTEIN FAMILIES FROM SEQUENCE information. WE HERE APPLY RBM TO TWENTY PROTEIN families, AND PRESENT DETAILED RESULTS FOR TWO SHORT PROTEIN domains, Kunitz AND WW, ONE LONG CHAPERONE PRotein, Hsp70, AND SYNTHETIC LATTICE PROTEINS FOR benchmarking. The FEATURES INFERRED BY THE RBM ARE BIOLOGICALLY INTERPRetable: THEY ARE RELATED TO STRUCTURE (such AS Residue-rESIDUE TERTIARY contacts, EXTENDED SECONDARY MOTIFS ( -helix AND -sheet) AND INTRINSICALLY DISORDERED Regions), TO FUNCTION (such AS ACTIVITY AND LIGAND SPECIficity), OR TO PHYLOGENETIC IDENTITY. IN addition, WE USE RBM TO DESIGN NEW PROTEIN SEQUENCES WITH PUTATIVE PROPERTIES BY COMPOSING AND TURNING UP OR DOWN THE DIffERENT MODES AT will. Our WORK THEREFORE SHOWS THAT RBM ARE A VERSATILE AND PRACTICAL TOOL TO UNVEIL AND EXPLOIT THE genotype-phenotype RELATIONSHIP FOR PROTEIN families. Sequencing OF MANY ORGANISM GENOMES HAS LED OVER THE RECENT YEARS TO THE COLLECTION OF A HUGE NUMBER OF PROTEIN sequences, GATHERED IN DATABASES SUCH AS UniPrOT OR PFAM Finn ET al. (2013). Sequences WITH A COMMON ANCESTRAL origin, DEfiNING A FAMILY (Fig. 1A), ARE LIKELY TO CODE FOR PROTEINS WITH SIMILAR FUNCTIONS AND STRUCTURes, HENCE PROVIDING A UNIQUE WINDOW INTO THE RELATIONSHIP BETWEEN GENOTYPE (sequence content) AND PHENOTYPE (biological FEATURes). -
Multisite Protein Modification and Intramolecular Signaling
Oncogene (2005) 24, 1653–1662 & 2005 Nature Publishing Group All rights reserved 0950-9232/05 $30.00 www.nature.com/onc REVIEW Multisite protein modification and intramolecular signaling Xiang-Jiao Yang*,1 1Molecular Oncology Group, Department of Medicine, McGill University Health Center, Montreal, Quebec, Canada H3A 1A1 Post-translational modification is a major mechanism by into proper structuraland functionalstates. Many other which protein function is regulated in eukaryotes.Instead covalent modifications are transient and play important of single-site action, many proteins such as histones, p53, roles in regulating protein function. Instead of single-site RNA polymerase II, tubulin, Cdc25C and tyrosine kinases modification, various proteins are modified at multiple are modified at multiple sites by modifications like sites, a phenomenon referred to as multisite modifica- phosphorylation, acetylation, methylation, ubiquitination, tion. The multiplicity of modification sites on a protein sumoylation and citrullination.Multisite modification on often correlates with its biological importance and the a protein constitutes a complex regulatory program that complexity of the corresponding organism. Here, I resembles a dynamic ‘molecular barcode’ and transduces utilize selected proteins, including histones, RNA molecular information to and from signaling pathways. polymerase II, p53, Cdc25C and PDGF receptor-b,to This program imparts effects through ‘loss-of-function’ illustrate the complexity of multisite modification and and ‘gain-of-function’ mechanisms.Among