Recessive VARS2 Mutation Underlies a Novel Syndrome with Epilepsy, Mental Retardation, Short Stature, Growth Hormone Deficiency

Total Page:16

File Type:pdf, Size:1020Kb

Recessive VARS2 Mutation Underlies a Novel Syndrome with Epilepsy, Mental Retardation, Short Stature, Growth Hormone Deficiency Alsemari et al. Human Genomics (2017) 11:28 DOI 10.1186/s40246-017-0124-4 PRIMARY RESEARCH Open Access Recessive VARS2 mutation underlies a novel syndrome with epilepsy, mental retardation, short stature, growth hormone deficiency, and hypogonadism Abdulaziz Alsemari1,3, Banan Al-Younes2,3, Ewa Goljan2,3, Dyala Jaroudi2,3, Faisal BinHumaid2,3, Brian F. Meyer2,3, Stefan T. Arold4 and Dorota Monies2,3* Abstract Background: Most mitochondrial and cytoplasmic aminoacyl-tRNA synthetases (aaRSs) are encoded by nuclear genes. Syndromic disorders resulting from mutation of aaRSs genes display significant phenotypic heterogeneity. We expand aaRSs-related phenotypes through characterization of the clinical and molecular basis of a novel autosomal-recessive syndrome manifesting severe mental retardation, ataxia, speech impairment, epilepsy, short stature, microcephaly, hypogonadism, and growth hormone deficiency. Results: A G>A variant in exon 29 of VARS2 (c.3650G>A) (NM_006295) was identified in the index case. This homozygous variant was confirmed by Sanger sequencing and segregated with disease in the family studied. The c.3650G>A change results in alteration of arginine to histidine at residue 1217 (R1217H) of the mature protein and is predicted to be pathogenic. Conclusions: These findings contribute to a growing list of aaRSs disorders, broadens the spectrum of phenotypes attributable to VARS2 mutations, and provides new insight into genotype-phenotype correlations among the mitochondrial synthetase genes. Keywords: Syndromic, Angelman, Mitochondrial, Dysmorphism, Hypogonadism, Vitamin D deficiency Background A number of single-gene disorders result in mental re- Mental retardation (MR) affects approximately 1–3% of tardation. Many of these are associated with atypical or the human population. Both genetic and environmental dysmorphic physical characteristics. Such conditions in- factors are responsible for causing MR, but in almost clude fragile X syndrome, neurofibromatosis, tuberous 60% of the cases, the actual cause cannot be identified sclerosis, Noonan’s syndrome, Cornelia de Lange’s syn- precisely [1, 2]. In developed countries, most severe drome, and Angelman syndrome(AS) [5]. AS is usually forms of intellectual disability are thought to have a gen- considered as a diagnosis in individuals with severe de- etic cause [3]. Mutations in more than 400 genes have velopmental delay, in combination with seizures, ataxia, been linked to intellectual disability, but most of these hypermotoric behaviors, and absence of speech. Ninety mutations have a very low prevalence and their pheno- percent of these individuals have an identifiable molecu- types are often indistinguishable [4]. lar defect that results in the loss of expression of mater- nally inherited UBE3A (encoding E6AP) in the brain [6]. Over the last few years, many novel syndromes that * Correspondence: [email protected] mimic AS have been delineated and it is now recognized 2 Department of Genetics, King Faisal Specialist Hospital and Research Centre, that some individuals who were clinically diagnosed with MBC 03, PO Box 3354, Riyadh 11211, Saudi Arabia “ ” 3Saudi Human Genome Project, King Abdulaziz City for Science and test-negative AS have one of these AS-like syndromes Technology, Riyadh, Saudi Arabia instead. Their phenotypes include severe intellectual Full list of author information is available at the end of the article © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Alsemari et al. Human Genomics (2017) 11:28 Page 2 of 7 disability, motor delay, variable degrees of speech delay sequence was generated per sequencing run. Reads were ranging from being completely non-verbal to being able mapped to UCSC hg19 (http://genome.ucsc.edu/) and to speak in short sentences, autistic and maladaptive be- variants identified using the Ion Torrent pipeline (Life haviors, short attention span, and seizures [7]. Technologies, Carlsbad, CA, USA). The resultant variant We report a novel autosomal recessive syndromic dis- caller file (vcf) was filtered to include only homozygous order with clinical resemblance to AS. The clinical variants within the pre-determined ROH (shared by af- spectrum includes severe mental retardation, ataxia, fecteds only) that were absent from dbSNP, 1000 ge- speech impairment, epilepsy, short stature, microceph- nomes, approximately 2000 Saudi exomes. Included aly, flap occiput, protruding tongue, prognathia, tremu- variants were further selected based upon pathogenicity lous movement of limbs, apparent happy demeanor, predicted by Polyphen2 (http://genetics.bwh.harvar- easily excitable personality, and excessive chewing d.edu/pph2/) and SIFT (http://sift.jcvi.org/). Potential mouth behaviors. In addition, there were severe growth causative variants were confirmed by Sanger sequencing hormone deficiency, hypogonadism, and severe osteo- and screened further for familial segregation based upon malacia. Whole exome sequencing of the affected pa- autosomal recessive inheritance. For confirmation, an tients identified a homozygous mutation in VARS2. amplicon incorporating the candidate variant was ampli- fied and sequenced using a BigDye Terminator kit (Ap- Methods plied Biosystems, Foster City, CA) and run on an ABI Subjects and nucleic acid extraction 3730xl automated sequencer (Applied Biosystems, Foster Four patients from a consanguineous extended family City, CA). SeqScape v.2.6 software (Applied Biosystems, from the same region of Saudi Arabia were examined by Foster City, CA) was used to align sequence data and a neurologist (AAS), in the department of Neurosci- identify variants. ences, King Faisal Specialist Hospital and Research Center (KFSHRC). They were diagnosed with an Computational structural analysis of mutants Angelman-like syndrome. All subjects were enrolled Sequences were retrieved from the Uniprot database. under a KFSHRC IRB-approved (RAC# 13-MED2056- BLAST and SwissModel [8] were used to search for suit- 20) protocol with full-written informed consent. Gen- able structural templates in the Protein Data Bank omic DNA was extracted from peripheral blood samples (PDB). SwissModel, RaptorX [9], and I-Tasser [10] were using standard procedures (Flexi Gene DNA Handbook, used to produce homology models. Models were manu- Qiagen). Samples were quantitated spectrophotometric- ally inspected, and mutations evaluated, using the Pymol ally and stored at − 20 °C. program (pymol.org). Disorder and secondary structure elements were predicted using RaptorX. Transmem- Linkage and homozygosity mapping brane helices were predicted using Phobius [11]. Func- All participating individuals (affected and unaffected) tional information was compiled from various resources, were genotyped using an Affymetrix Axiom array (Affy- including Uniprot [12], InterPro [13], and publications metrix, Santa Clara, CA, USA) following the manufac- associated with the model templates used. turer’s protocol (http://www.affymetrix.com/support/ technical/manuals.affx). Resulting genotypes were ana- Results lyzed for shared runs of homozygosity (ROH) using Clinical profile autoSNPa (http://dna.leeds.ac.uk/autosnpa/). Linkage The index case (V:3) (Fig. 1a), a 23-year-old male was analysis was performed using the Allegro module of Easy a product of full-term pregnancy and normal delivery. Linkage assuming autosomal recessive inheritance and He was well until the age of 4 months when he 100% penetrance (http://genetik.charite.de/hoffmann/ started to have generalized tonic clonic seizures. At easyLINKAGE/index.html). the age of 1 year, the family noticed that the patient had delayed development. He had delayed sitting, de- Whole exome sequencing and analysis layed standing, and only started to crawl at the age of DNA was amplified to obtain a whole exome Ion Proton 2 years. The patient eventually exhibited severe devel- AmpliSeq library which was further used for emulsion opmental delay and severe speech impairment. The PCR on an Ion OneTouch System followed by an en- speech impairment was more receptive than expres- richment process using an Ion OneTouch ES, both pro- sive. Upon reviewing his family history, there were cedures following the manufacturer’s instructions (Life three other similarly affected siblings (one brother Technologies, Carlsbad, CA, USA). The template- and two sisters). He also has four similarly affected positive Ion PI Ion Sphere particles were processed for cousins (two males and two females) (Fig. 1a). sequencing on the Ion Proton sequencer (Life Technolo- Affected individuals usually have incoordination of move- gies, Carlsbad, CA, USA). Approximately 15–17 Gb of ment until adolescence at which point they stop walking, Alsemari et al. Human Genomics (2017) 11:28 Page 3 of 7 Fig. 1 Identification of disease locus on chromosome 6: a Pedigree of extended family with a novel syndromic disorder. b Genome-wide linkage analysis revealed a peak with a maximum LOD score of 4.11 on chromosome 6. c AutoSNPa output
Recommended publications
  • Pathway-Specific Dopaminergic Deficits in a Mouse Model of Angelman Syndrome
    Pathway-specific dopaminergic deficits in a mouse model of Angelman syndrome Thorfinn T. Riday, … , Benjamin D. Philpot, C.J. Malanga J Clin Invest. 2012;122(12):4544-4554. https://doi.org/10.1172/JCI61888. Research Article Neuroscience Angelman syndrome (AS) is a neurodevelopmental disorder caused by maternal deletions or mutations of the ubiquitin ligase E3A (UBE3A) allele and characterized by minimal verbal communication, seizures, and disorders of voluntary movement. Previous studies have suggested that abnormal dopamine neurotransmission may underlie some of these deficits, but no effective treatment currently exists for the core features of AS. A clinical trial of levodopa (l-DOPA) in AS is ongoing, although the underlying rationale for this treatment strategy has not yet been thoroughly examined in preclinical models. We found that AS model mice lacking maternal Ube3a (Ube3am–/p+ mice) exhibit behavioral deficits that correlated with abnormal dopamine signaling. These deficits were not due to loss of dopaminergic neurons or impaired dopamine synthesis. Unexpectedly, Ube3am–/p+ mice exhibited increased dopamine release in the mesolimbic pathway while also exhibiting a decrease in dopamine release in the nigrostriatal pathway, as measured with fast-scan cyclic voltammetry. These findings demonstrate the complex effects of UBE3A loss on dopamine signaling in subcortical motor pathways that may inform ongoing clinical trials of l-DOPA therapy in patients with AS. Find the latest version: https://jci.me/61888/pdf Research article Pathway-specific dopaminergic deficits in a mouse model of Angelman syndrome Thorfinn T. Riday,1,2 Elyse C. Dankoski,1 Michael C. Krouse,3 Eric W. Fish,3 Paul L.
    [Show full text]
  • Supplementary Information Method CLEAR-CLIP. Mouse Keratinocytes
    Supplementary Information Method CLEAR-CLIP. Mouse keratinocytes of the designated genotype were maintained in E-low calcium medium. Inducible cells were treated with 3 ug/ml final concentration doxycycline for 24 hours before performing CLEAR-CLIP. One 15cm dish of confluent cells was used per sample. Cells were washed once with cold PBS. 10mls of cold PBS was then added and cells were irradiated with 300mJ/cm2 UVC (254nM wavelength). Cells were then scraped from the plates in cold PBS and pelleted by centrifugation at 1,000g for 2 minutes. Pellets were frozen at -80oC until needed. Cells were then lysed on ice with occasional vortexing in 1ml of lysis buffer (50mM Tris-HCl pH 7.4, 100mM NaCl, 1mM MgCl2, 0.1 mM CaCl2, 1% NP-40, 0.5% Sodium Deoxycholate, 0.1% SDS) containing 1X protease inhibitors (Roche #88665) and RNaseOUT (Invitrogen #10777019) at 4ul/ml final concentration. Next, TurboDNase (Invitrogen #AM2238, 10U), RNase A (0.13ug) and RNase T1 (0.13U) were added and samples were incubated at 37oC for 5 minutes with occasional mixing. Samples were immediately placed on ice and then centrifuged at 16,160g at 4oC for 20 minutes to clear lysate. 25ul of Protein-G Dynabeads (Invitrogen #10004D) were used per IP. Dynabeads were pre-washed with lysis buffer and pre- incubated with 3ul of Wako Anti-Mouse-Ago2 (2D4) antibody. The dynabead/antibody mixture was added to the lysate and rocked for 2 hours at 4oC. All steps after the IP were done on bead until samples were loaded into the polyacrylamide gel.
    [Show full text]
  • Transcriptomic Profile Induced in Bone Marrow Mesenchymal Stromal Cells After Interaction with Multiple Myeloma Cells
    www.impactjournals.com/oncotarget/ Oncotarget, Vol. 5, No. 18 Transcriptomic profile induced in bone marrow mesenchymal stromal cells after interaction with multiple myeloma cells: implications in myeloma progression and myeloma bone disease Antonio Garcia-Gomez1,2,3, Javier De Las Rivas1, Enrique M. Ocio1,2, Elena Díaz- Rodríguez1, Juan C. Montero1, Montserrat Martín1,3, Juan F. Blanco2, Fermín M. Sanchez-Guijo2,3, Atanasio Pandiella1,2, Jesús F. San Miguel1,2,3 and Mercedes Garayoa1,2,3 1 Centro de Investigación del Cáncer, IBMCC (Universidad de Salamanca-CSIC), Salamanca, Spain 2 Hospital Universitario de Salamanca-IBSAL, Salamanca, Spain 3 Centro en Red de Medicina Regenerativa y Terapia Celular de Castilla y León, Salamanca, Spain Correspondence to: Mercedes Garayoa, email: [email protected] Keywords: multiple myeloma, bone marrow mesenchymal stromal cells, tumor-stroma interactions, gene expression profiling, co- culture techniques, myeloma bone disease Received: January 6, 2014 Accepted: June 2, 2014 Published: June 4, 2014 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Despite evidence about the implication of the bone marrow (BM) stromal microenvironment in multiple myeloma (MM) cell growth and survival, little is known about the effects of myelomatous cells on BM stromal cells. Mesenchymal stromal cells (MSCs) from healthy donors (dMSCs) or myeloma patients (pMSCs) were co- cultured with the myeloma cell line MM.1S, and the transcriptomic profile of MSCs induced by this interaction was analyzed. Deregulated genes after co-culture common to both d/pMSCs revealed functional involvement in tumor microenvironment cross- talk, myeloma growth induction and drug resistance, angiogenesis and signals for osteoclast activation and osteoblast inhibition.
    [Show full text]
  • The Autism Protein Ube3a/E6AP Remodels Neuronal Dendritic Arborization Via Caspase-Dependent Microtubule Destabilization
    The Journal of Neuroscience, January 10, 2018 • 38(2):363–378 • 363 Neurobiology of Disease The Autism Protein Ube3A/E6AP Remodels Neuronal Dendritic Arborization via Caspase-Dependent Microtubule Destabilization Natasha Khatri,1,2 James P. Gilbert,1 Yuda Huo,1 Roozhin Sharaflari,1 Michael Nee,1 Hui Qiao,1 and XHeng-Ye Man1,2 1Department of Biology, Boston University, Boston, Massachusetts 02215, and 2Department of Pharmacology & Experimental Therapeutics, Boston University School of Medicine, Boston, Massachusetts 02118 UBE3A gene copy number variation and the resulting overexpression of the protein E6AP is directly linked to autism spectrum disorders (ASDs).However,theunderlyingcellularandmolecularneurobiologyremainslessclear.HerewereporttheroleofASD-relatedincreased dosage of Ube3A/E6AP in dendritic arborization during brain development. We show that increased E6AP expression in primary cul- tured neurons leads to a reduction in dendritic branch number and length. The E6AP-dependent remodeling of dendritic arborization results from retraction of dendrites by thinning and fragmentation at the tips of dendrite branches, leading to shortening or removal of dendrites. This remodeling effect is mediated by the ubiquitination and degradation of XIAP (X-linked inhibitors of aptosis protein) by E6AP, which leads to activation of caspase-3 and cleavage of microtubules. In vivo, male and female Ube3A 2X ASD mice show decreased XIAP levels, increased caspase-3 activation, and elevated levels of tubulin cleavage. Consistently, dendritic branching and spine density are reduced in cortical neurons of Ube3A 2X ASD mice. In revealing an important role for Ube3A/E6AP in ASD-related developmental alteration in dendritic arborization and synapse formation, our findings provide new insights into the pathogenesis of Ube3A/E6AP- dependent ASD.
    [Show full text]
  • 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
    [Show full text]
  • Abstracts from the 50Th European Society of Human Genetics Conference: Electronic Posters
    European Journal of Human Genetics (2019) 26:820–1023 https://doi.org/10.1038/s41431-018-0248-6 ABSTRACT Abstracts from the 50th European Society of Human Genetics Conference: Electronic Posters Copenhagen, Denmark, May 27–30, 2017 Published online: 1 October 2018 © European Society of Human Genetics 2018 The ESHG 2017 marks the 50th Anniversary of the first ESHG Conference which took place in Copenhagen in 1967. Additional information about the event may be found on the conference website: https://2017.eshg.org/ Sponsorship: Publication of this supplement is sponsored by the European Society of Human Genetics. All authors were asked to address any potential bias in their abstract and to declare any competing financial interests. These disclosures are listed at the end of each abstract. Contributions of up to EUR 10 000 (ten thousand euros, or equivalent value in kind) per year per company are considered "modest". Contributions above EUR 10 000 per year are considered "significant". 1234567890();,: 1234567890();,: E-P01 Reproductive Genetics/Prenatal and fetal echocardiography. The molecular karyotyping Genetics revealed a gain in 8p11.22-p23.1 region with a size of 27.2 Mb containing 122 OMIM gene and a loss in 8p23.1- E-P01.02 p23.3 region with a size of 6.8 Mb containing 15 OMIM Prenatal diagnosis in a case of 8p inverted gene. The findings were correlated with 8p inverted dupli- duplication deletion syndrome cation deletion syndrome. Conclusion: Our study empha- sizes the importance of using additional molecular O¨. Kırbıyık, K. M. Erdog˘an, O¨.O¨zer Kaya, B. O¨zyılmaz, cytogenetic methods in clinical follow-up of complex Y.
    [Show full text]
  • Supplementary Table 9. Functional Annotation Clustering Results for the Union (GS3) of the Top Genes from the SNP-Level and Gene-Based Analyses (See ST4)
    Supplementary Table 9. Functional Annotation Clustering Results for the union (GS3) of the top genes from the SNP-level and Gene-based analyses (see ST4) Column Header Key Annotation Cluster Name of cluster, sorted by descending Enrichment score Enrichment Score EASE enrichment score for functional annotation cluster Category Pathway Database Term Pathway name/Identifier Count Number of genes in the submitted list in the specified term % Percentage of identified genes in the submitted list associated with the specified term PValue Significance level associated with the EASE enrichment score for the term Genes List of genes present in the term List Total Number of genes from the submitted list present in the category Pop Hits Number of genes involved in the specified term (category-specific) Pop Total Number of genes in the human genome background (category-specific) Fold Enrichment Ratio of the proportion of count to list total and population hits to population total Bonferroni Bonferroni adjustment of p-value Benjamini Benjamini adjustment of p-value FDR False Discovery Rate of p-value (percent form) Annotation Cluster 1 Enrichment Score: 3.8978262119731335 Category Term Count % PValue Genes List Total Pop Hits Pop Total Fold Enrichment Bonferroni Benjamini FDR GOTERM_CC_DIRECT GO:0005886~plasma membrane 383 24.33290978 5.74E-05 SLC9A9, XRCC5, HRAS, CHMP3, ATP1B2, EFNA1, OSMR, SLC9A3, EFNA3, UTRN, SYT6, ZNRF2, APP, AT1425 4121 18224 1.18857065 0.038655922 0.038655922 0.086284383 UP_KEYWORDS Membrane 626 39.77128335 1.53E-04 SLC9A9, HRAS,
    [Show full text]
  • Targeting the Ubiquitin System in Glioblastoma', Frontiers in Oncology
    Citation for published version: Licchesi, J 2020, 'Targeting the Ubiquitin System in Glioblastoma', Frontiers in Oncology. https://doi.org/10.3389/fonc.2020.574011 DOI: 10.3389/fonc.2020.574011 Publication date: 2020 Document Version Publisher's PDF, also known as Version of record Link to publication University of Bath Alternative formats If you require this document in an alternative format, please contact: [email protected] General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 24. Sep. 2021 REVIEW published: 25 November 2020 doi: 10.3389/fonc.2020.574011 Targeting the Ubiquitin System in Glioblastoma Nico Scholz 1, Kathreena M. Kurian 2, Florian A. Siebzehnrubl 3 and Julien D. F. Licchesi 1* 1 Department of Biology & Biochemistry, University of Bath, Bath, United Kingdom, 2 Brain Tumour Research Group, Institute of Clinical Neurosciences, University of Bristol, Bristol, United Kingdom, 3 Cardiff University School of Biosciences, European Cancer Stem Cell Research Institute, Cardiff, United Kingdom Glioblastoma is the most common primary brain tumor in adults with poor overall outcome and 5-year survival of less than 5%. Treatment has not changed much in the last decade or so, with surgical resection and radio/chemotherapy being the main options.
    [Show full text]
  • Anti-VARS (Aa 994-1102) Polyclonal Antibody (DPAB-DC3179) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
    Anti-VARS (aa 994-1102) polyclonal antibody (DPAB-DC3179) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Antigen Description Aminoacyl-tRNA synthetases catalyze the aminoacylation of tRNA by their cognate amino acid. Because of their central role in linking amino acids with nucleotide triplets contained in tRNAs, aminoacyl-tRNA synthetases are thought to be among the first proteins that appeared in evolution. The protein encoded by this gene belongs to class-I aminoacyl-tRNA synthetase family and is located in the class III region of the major histocompatibility complex. Immunogen VARS (NP_006286, 994 a.a. ~ 1102 a.a) partial recombinant protein with GST tag. The sequence is AVRLSNQGFQAYDFPAVTTAQYSFWLYELCDVYLECLKPVLNGVDQVAAECARQTLYTCLDVG LRLLSPFMPFVTEELFQRLPRRMPQAPPSLCVTPYPEPSECSWKDP Source/Host Mouse Species Reactivity Human Conjugate Unconjugated Applications WB (Recombinant protein), ELISA, Size 50 μl Buffer 50 % glycerol Preservative None Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. GENE INFORMATION Gene Name VARS valyl-tRNA synthetase [ Homo sapiens (human) ] Official Symbol VARS Synonyms VARS; valyl-tRNA synthetase; G7A; VARS1; VARS2; valine--tRNA ligase; valRS; protein G7a; valyl-tRNA synthetase 2; valine tRNA ligase 1, cytoplasmic; 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 1 © Creative Diagnostics All Rights Reserved Entrez Gene ID 7407 Protein Refseq NP_006286 UniProt ID A0A024RCN6 Chromosome Location 6p21.3 Pathway Aminoacyl-tRNA biosynthesis; Cytosolic tRNA aminoacylation; tRNA Aminoacylation; Function ATP binding; aminoacyl-tRNA editing activity; valine-tRNA ligase activity; 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 2 © Creative Diagnostics All Rights Reserved.
    [Show full text]
  • Supplementary Data.Xlsx
    Electronic Supplementary Material (ESI) for Molecular BioSystems. This journal is © The Royal Society of Chemistry 2016 Average Average spectral spectral Fold UniProt IDGene Protein Name counts- counts- enrichm negative positive ent sample sample P12821 ACE HUMAN - ACE Angiotensin-converting enzyme 0 79.75 #DIV/0! Q71U36 TBA1A HUMAN - TUBA1A Tubulin alpha-1A chain 0 59.5 #DIV/0! P17812 PYRG1 HUMAN - CTPS1 CTP synthase 1 0 43.5 #DIV/0! P23921 RIR1 HUMAN - RRM1 Ribonucleoside-diphosphate reductase large subunit 0 35 #DIV/0! P49915GUAA HUMAN - GMPS GMP synthase 0 30.5 #DIV/0! P30153 2AAA HUMAN - PPP2R1A Serine/threonine-protein phosphatase 2A 65 kDa0 regulatory subunit29 A#DIV/0! alpha isoform P55786 PSA HUMAN - NPEPPS Puromycin-sensitive aminopeptidase 0 28.75 #DIV/0! O43143 DHX15 HUMAN - DHX15 Putative pre-mRNA-splicing factor ATP-dependent RNA0 helicase28.25 DHX15#DIV/0! P15170 ERF3A HUMAN - GSPT1 Eukaryotic peptide chain release factor GTP-binding0 subunit ERF3A24.75 #DIV/0! P09874PARP1HUMAN - PARP1 Poly 0 23.5 #DIV/0! Q9BXJ9 NAA15 HUMAN - NAA15 N-alpha-acetyltransferase 15, NatA auxiliary subunit0 23 #DIV/0! B0V043 B0V043 HUMAN - VARS Valyl-tRNA synthetase 0 20 #DIV/0! Q86VP6 CAND1 HUMAN - CAND1 Cullin-associated NEDD8-dissociated protein 1 0 19.5 #DIV/0! P04080CYTB HUMAN - CSTB Cystatin-B 0 19 #DIV/0! Q93009 UBP7 HUMAN - USP7 Ubiquitin carboxyl-terminal hydrolase 7 0 18 #DIV/0! Q9Y2L1 RRP44 HUMAN - DIS3 Exosome complex exonuclease RRP44 0 18 #DIV/0! Q13748 TBA3C HUMAN - TUBA3D Tubulin alpha-3C/D chain 0 18 #DIV/0! P29144 TPP2 HUMAN
    [Show full text]
  • Downloaded Per Proteome Cohort Via the Web- Site Links of Table 1, Also Providing Information on the Deposited Spectral Datasets
    www.nature.com/scientificreports OPEN Assessment of a complete and classifed platelet proteome from genome‑wide transcripts of human platelets and megakaryocytes covering platelet functions Jingnan Huang1,2*, Frauke Swieringa1,2,9, Fiorella A. Solari2,9, Isabella Provenzale1, Luigi Grassi3, Ilaria De Simone1, Constance C. F. M. J. Baaten1,4, Rachel Cavill5, Albert Sickmann2,6,7,9, Mattia Frontini3,8,9 & Johan W. M. Heemskerk1,9* Novel platelet and megakaryocyte transcriptome analysis allows prediction of the full or theoretical proteome of a representative human platelet. Here, we integrated the established platelet proteomes from six cohorts of healthy subjects, encompassing 5.2 k proteins, with two novel genome‑wide transcriptomes (57.8 k mRNAs). For 14.8 k protein‑coding transcripts, we assigned the proteins to 21 UniProt‑based classes, based on their preferential intracellular localization and presumed function. This classifed transcriptome‑proteome profle of platelets revealed: (i) Absence of 37.2 k genome‑ wide transcripts. (ii) High quantitative similarity of platelet and megakaryocyte transcriptomes (R = 0.75) for 14.8 k protein‑coding genes, but not for 3.8 k RNA genes or 1.9 k pseudogenes (R = 0.43–0.54), suggesting redistribution of mRNAs upon platelet shedding from megakaryocytes. (iii) Copy numbers of 3.5 k proteins that were restricted in size by the corresponding transcript levels (iv) Near complete coverage of identifed proteins in the relevant transcriptome (log2fpkm > 0.20) except for plasma‑derived secretory proteins, pointing to adhesion and uptake of such proteins. (v) Underrepresentation in the identifed proteome of nuclear‑related, membrane and signaling proteins, as well proteins with low‑level transcripts.
    [Show full text]
  • Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen
    CLINICAL RESEARCH www.jasn.org Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen Rany M. Salem ,1 Jennifer N. Todd,2,3,4 Niina Sandholm ,5,6,7 Joanne B. Cole ,2,3,4 Wei-Min Chen,8 Darrell Andrews,9 Marcus G. Pezzolesi,10 Paul M. McKeigue,11 Linda T. Hiraki,12 Chengxiang Qiu,13 Viji Nair,14 Chen Di Liao,12 Jing Jing Cao,12 Erkka Valo ,5,6,7 Suna Onengut-Gumuscu,8 Adam M. Smiles,15 Stuart J. McGurnaghan,16 Jani K. Haukka,5,6,7 Valma Harjutsalo,5,6,7,17 Eoin P. Brennan,9 Natalie van Zuydam,18,19 Emma Ahlqvist,20 Ross Doyle,9 Tarunveer S. Ahluwalia ,21 Maria Lajer,21 Maria F. Hughes,9 Jihwan Park,13 Jan Skupien,15 Athina Spiliopoulou,11 Andrew Liu,22 Rajasree Menon,14,23 Carine M. Boustany-Kari,24 Hyun M. Kang,23,25 Robert G. Nelson,26 Ronald Klein,27 Barbara E. Klein,27 Kristine E. Lee ,27 Xiaoyu Gao,28 Michael Mauer,29 Silvia Maestroni,30 Maria Luiza Caramori,29 Ian H. de Boer ,31 Rachel G. Miller,32 Jingchuan Guo ,32 Andrew P. Boright,12 David Tregouet,33,34 Beata Gyorgy,33,34 Janet K. Snell-Bergeon,35 David M. Maahs,36 Shelley B. Bull ,37 Angelo J. Canty,38 Colin N.A. Palmer,39 Lars Stechemesser,40 Bernhard Paulweber,40 Raimund Weitgasser,40,41 Jelizaveta Sokolovska,42 Vita Rovıte,43 Valdis Pırags, 42,44 Edita Prakapiene,45 Lina Radzeviciene,46 Rasa Verkauskiene,46 Nicolae Mircea Panduru,6,47 Leif C.
    [Show full text]