Trna Metabolism and Neurodevelopmental Disorders
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TSEN54 Rabbit Pab Antibody
TSEN54 rabbit pAb antibody Catalog No : Source: Concentration : Mol.Wt. (Da): A22945 Rabbit 1 mg/ml 58819 Applications WB,IHC,ELISA Reactivity Human Dilution WB: 1:500 - 1:2000. IHC: 1:100 - 1:300. ELISA: 1:20000. Not yet tested in other applications. Storage -20°C/1 year Specificity TSEN54 Polyclonal Antibody detects endogenous levels of TSEN54 protein. Source / Purification The antibody was affinity-purified from rabbit antiserum by affinity- chromatography using epitope-specific immunogen. Immunogen The antiserum was produced against synthesized peptide derived from human TSEN54. AA range:261-310 Uniprot No Q7Z6J9 Alternative names TSEN54; SEN54; tRNA-splicing endonuclease subunit Sen54; SEN54 homolog; HsSEN54; tRNA-intron endonuclease Sen54 Form Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide. Clonality Polyclonal Isotype IgG Conjugation Background tRNA splicing endonuclease subunit 54(TSEN54) Homo sapiens This gene encodes a subunit of the tRNA splicing endonuclease complex, which catalyzes the removal of introns from precursor tRNAs. The complex is also implicated in pre-mRNA 3-prime end processing. Mutations in this gene result in pontocerebellar hypoplasia type 2.[provided by RefSeq, Oct 2009], Other TSEN54, tRNA-splicing endonuclease subunit Sen54 Produtc Images: Application Key: WB-Western IP-Immunoprecipitation IHC-Immunohistochemistry ChIP-Chromatin Immunoprecipitation A AAB Biosciences Products www.aabsci.cn FOR RESEARCH USE ONLY. NOT FOR HUMAN OR DIAGNOSTIC USE. IF-Immunofluorescence F-Flow Cytometry E-P-ELISA-Peptide Species Cross-Reactivity Key: H-Human M-Mouse R-Rat Hm-Hamster Mk-Monkey Vir-Virus Mi-Mink C-Chicken Dm-D. melanogaster X-Xenopus Z-Zebrafish B-Bovine Dg-Dog Pg-Pig Sc-S. -
TRNT1 Gene Trna Nucleotidyl Transferase 1
TRNT1 gene tRNA nucleotidyl transferase 1 Normal Function The TRNT1 gene provides instructions for making a protein involved in the production ( synthesis) of other proteins. During protein synthesis, a molecule called transfer RNA ( tRNA) helps assemble protein building blocks (amino acids) into a chain that forms the protein. Each tRNA carries a specific amino acid to the growing chain. The TRNT1 protein modifies tRNAs by adding a series of three DNA building blocks (nucleotides), called a CCA trinucleotide, to the molecule. This modification is essential for the correct amino acid to be attached to each tRNA. While most protein synthesis occurs in the fluid surrounding the nucleus (cytoplasm), some proteins are synthesized in cell structures called mitochondria, which are the energy-producing centers in cells. Many mitochondrial proteins form groups (complexes) that carry out the reactions that produce energy. Separate tRNA molecules are used to build proteins in the cytoplasm and mitochondria. The TRNT1 protein attaches the CCA trinucleotide to both cytoplasmic and mitochondrial tRNA molecules. Health Conditions Related to Genetic Changes TRNT1 deficiency More than 20 TRNT1 gene mutations have been found to cause TRNT1 deficiency, a condition with a range of signs and symptoms that affect many body systems. Features can include a blood disorder called sideroblastic anemia, recurrent fevers, a shortage of immune cells called B cells that leads to impairment of the immune system ( immunodeficiency), delayed development of speech and motor skills, and eye abnormalities that cause vision problems. The severity of the condition varies among affected individuals. The TRNT1 gene mutations that cause TRNT1 deficiency lead to a shortage (deficiency) of functional TRNT1 protein. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
By Submitted in Partial Satisfaction of the Requirements for Degree of in In
Developments of Two Imaging based Technologies for Cell Biology Researches by Xiaowei Yan DISSERTATION Submitted in partial satisfaction of the requirements for degree of DOCTOR OF PHILOSOPHY in Biochemistry and Molecular Biology in the GRADUATE DIVISION of the UNIVERSITY OF CALIFORNIA, SAN FRANCISCO Approved: ______________________________________________________________________________Ronald Vale Chair ______________________________________________________________________________Jonathan Weissman ______________________________________________________________________________Orion Weiner ______________________________________________________________________________ ______________________________________________________________________________ Committee Members Copyright 2021 By Xiaowei Yan ii DEDICATION Everything happens for the best. To my family, who supported me with all their love. iii ACKNOWLEDGEMENTS The greatest joy of my PhD has been joining UCSF, working and learning with such a fantastic group of scientists. I am extremely grateful for all the support and mentorship I received and would like to thank: My mentor, Ron Vale, who is such a great and generous person. Thank you for showing me that science is so much fun and thank you for always giving me the freedom in pursuing my interest. I am grateful for all the guidance from you and thank you for always supporting me whenever I needed. You are a person full of wisdom, and I have been learning so much from you and your attitude to science, science community and even life will continue inspire me. Thank you for being my mentor and thank you for being such a great mentor. Everyone else in Vale lab, past and present, for making our lab a sweet home. I would like to give my special thank to Marvin (Marvin Tanenbaum) and Nico (Nico Stuurman), two other mentors for me in the lab. I would like to thank them for helping me adapt to our lab, for all the valuable advice and for all the happiness during the time that we work together. -
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. -
Epigenetic Mechanisms of Lncrnas Binding to Protein in Carcinogenesis
cancers Review Epigenetic Mechanisms of LncRNAs Binding to Protein in Carcinogenesis Tae-Jin Shin, Kang-Hoon Lee and Je-Yoel Cho * Department of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul 08826, Korea; [email protected] (T.-J.S.); [email protected] (K.-H.L.) * Correspondence: [email protected]; Tel.: +82-02-800-1268 Received: 21 September 2020; Accepted: 9 October 2020; Published: 11 October 2020 Simple Summary: The functional analysis of lncRNA, which has recently been investigated in various fields of biological research, is critical to understanding the delicate control of cells and the occurrence of diseases. The interaction between proteins and lncRNA, which has been found to be a major mechanism, has been reported to play an important role in cancer development and progress. This review thus organized the lncRNAs and related proteins involved in the cancer process, from carcinogenesis to metastasis and resistance to chemotherapy, to better understand cancer and to further develop new treatments for it. This will provide a new perspective on clinical cancer diagnosis, prognosis, and treatment. Abstract: Epigenetic dysregulation is an important feature for cancer initiation and progression. Long non-coding RNAs (lncRNAs) are transcripts that stably present as RNA forms with no translated protein and have lengths larger than 200 nucleotides. LncRNA can epigenetically regulate either oncogenes or tumor suppressor genes. Nowadays, the combined research of lncRNA plus protein analysis is gaining more attention. LncRNA controls gene expression directly by binding to transcription factors of target genes and indirectly by complexing with other proteins to bind to target proteins and cause protein degradation, reduced protein stability, or interference with the binding of other proteins. -
BOLA3 Deficiency Controls Endothelial Metabolism and Glycine Homeostasis in Pulmonary Hypertension
BOLA (BolA Family Member 3) Deficiency Controls Endothelial Metabolism and Glycine Homeostasis in Pulmonary Hypertension The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Yu, Qiujun et al. “BOLA (BolA Family Member 3) Deficiency Controls Endothelial Metabolism and Glycine Homeostasis in Pulmonary Hypertension.” Circulation 139 (2019): 2238-2255 © 2019 The Author(s) As Published https://dx.doi.org/10.1161/CIRCULATIONAHA.118.035889 Publisher Ovid Technologies (Wolters Kluwer Health) Version Author's final manuscript Citable link https://hdl.handle.net/1721.1/125622 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike Detailed Terms http://creativecommons.org/licenses/by-nc-sa/4.0/ HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Circulation Manuscript Author . Author manuscript; Manuscript Author available in PMC 2020 May 07. Published in final edited form as: Circulation. 2019 May 07; 139(19): 2238–2255. doi:10.1161/CIRCULATIONAHA.118.035889. BOLA3 deficiency controls endothelial metabolism and glycine homeostasis in pulmonary hypertension Qiujun Yu, MD, PhD1, Yi-Yin Tai, MS1, Ying Tang, MS1, Jingsi Zhao, MS1, Vinny Negi, PhD1, Miranda K. Culley, BA1, Jyotsna Pilli, PhD1, Wei Sun, MD1, Karin Brugger, MD2, Johannes Mayr, MD2, Rajeev Saggar, MD3, Rajan Saggar, MD4, W. Dean Wallace, MD4, David J. Ross, MD4, Aaron B. Waxman, MD, PhD5, Stacy G. Wendell, PhD6,7, Steven J. Mullett, BS7, John Sembrat, BS1, Mauricio Rojas, MD1, Omar F. Khan, PhD8, James E. Dahlman, PhD9, Masataka Sugahara, MD1, Nobuyuki Kagiyama, MD1, Taijyu Satoh, MD1, Manling Zhang, MD, MS1, Ning Feng, MD, PhD1, John Gorcsan III, MD10, Sara O. -
Análise Integrativa De Perfis Transcricionais De Pacientes Com
UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. -
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 -
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. -
WO 2016/115632 Al 28 July 2016 (28.07.2016) W P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2016/115632 Al 28 July 2016 (28.07.2016) W P O P C T (51) International Patent Classification: (72) Inventors: TARNOPOLSKY, Mark; 309-397 King C12N 5/ 0 (2006.01) C12N 15/53 (2006.01) Street West, Dundas, Ontario L9H 1W9 (CA). SAFDAR, A61K 35/12 (2015.01) C12N 15/54 (2006.01) Adeel; c/o McMaster University, 1200 Main Street West, A61K 9/51 (2006.01) C12N 15/55 (2006.01) Hamilton, Ontario L8N 3Z5 (CA). C12N 15/11 (2006.01) C12N 15/85 (2006.01) (74) Agent: TANDAN, Susan; Gowling WLG (Canada) LLP, C12N 15/12 (2006.01) C12N 5/071 (2010.01) One Main Street West, Hamilton, Ontario L8P 4Z5 (CA). (21) International Application Number: (81) Designated States indicated, PCT/CA20 16/050046 (unless otherwise for every kind of national protection available): AE, AG, AL, AM, (22) International Filing Date: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, 2 1 January 2016 (21 .01 .2016) BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (25) Filing Language: English HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, (26) Publication Language: English KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, (30) Priority Data: PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, 62/105,967 2 1 January 2015 (21.01.2015) US SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 62/1 12,940 6 February 2015 (06.02.2015) US TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
NC RNA Symposium 2019 Fin
Organizing Committee: Co-Chairs of the Organizing Committee: Stacy Horner, Ph.D. (Duke) Robin Stanley, Ph.D. (NIEHS) Members of Organizing Committee: Christopher Holley, M.D, Ph.D. (Duke) Kate Meyer, Ph.D. (Duke) Hashim Al-Hashimi, Ph.D. (Duke) Hala Abou Assi, Ph.D. (Duke) Margot Wuebbens, Ph.D. (Duke) Sponsors: Symposium on RNA Biology XIII: RNA Tool and Target 2019 Meeting Agenda Thursday, October 17th, 2019 Great Hall of the Trent Semans Center, Duke University 12:00 – 1:00 PM Registration (Great Hall) 1:00 – 2:35 PM SESSION I: TRANSLATION FIDELITY Chair: Amanda Hargrove, Duke University 1:00 PM Opening Remarks, Stacy Horner, Duke University 1:10 PM Keynote Lecture: Rachel Green, Johns Hopkins University “Colliding Ribosomes as an integrator of Cytoplasmic Stress Responses” 1:50 PM Yu-Hua Lo, NIEHS “Unraveling the mechanism of substrate processing by the AAA-ATPase Rix7” 2:05 PM Hani Zaher, Washington University “RNA damage, the ribosome and quality control” 2:35 PM Break 3:00 – 5:00 PM SESSION II: RNA PROCESSING Chair: Jimena Giudice, UNC Chapel Hill 3:00 PM Rui Zhao, University of Colorado “A unified mechanism for intron definition, exon definition, and back-splicing” 3:30 PM Adam Black, UNC Chapel Hill “Clathrin heavy chain splice forms differentially affect striated muscle physiology” 3:45 PM Nicholas Conrad, University of Texas Southwestern “Mechanisms regulating S-adenosylmethionine homeostasis through intron detention” 4:15 PM Marcos Morgan, NIEHS “Role of RNA uridylation in germ line differentiation” 4:45 PM Jianguo Huang,