Rabbit Anti-MAK16/RBM13/FITC Conjugated Antibody-SL18637R-FITC

Total Page：16

File Type：pdf, Size：1020Kb

Rabbit Anti-MAK16/RBM13/FITC Conjugated Antibody-SL18637R-FITC

SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-MAK16/RBM13/FITC Conjugated antibody SL18637R-FITC Product Name: Anti-MAK16/RBM13/FITC Chinese Name: FITC标记的RNABinding proteinMAK16抗体 MAK16 homolog (S. cerevisiae); MAK16 homolog; MAK16L; NNP78; protein Alias: MAK16 homolog; Protein RBM13; RBM13; RNA binding motif protein 13; RNA binding protein. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Dog,Pig,Cow,Rabbit,Sheep, ICC=1:50-200IF=1:50-200 Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 35kDa Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human MAK16/RBM13 Lsotype: IgGwww.sunlongbiotech.com Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. background: RBM13 is a nucleolar protein containing 300 amino acids that belongs to the MAK16 family. The gene encoding RBM13 maps to human chromosome 8, which consists of Product Detail: nearly 146 million base pairs, encodes over 800 genes and is associated with a variety of diseases and malignancies. Schizophrenia, bipolar disorder, Trisomy 8, Pfeiffer syndrome, congenital hypothyroidism, Waardenburg syndrome and some leukemias and lymphomas are thought to occur as a result of defects in specific genes that map to chromosome 8. Subcellular Location: Nuclear; nucleolus Similarity: Belongs to the MAK16 family. Database links: Entrez Gene: 84549 Human Entrez Gene: 306526 Rat SwissProt: Q9BXY0 Human Unigene: 160904 Rat Important Note: This product as supplied is intended for research use only, not for use in human, therapeutic or diagnostic applications. www.sunlongbiotech.com.

Copy Link

Recommended publications

Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins.
[Show full text]
Quantitative Proteomics Identifies Redox Switches for Global Translation
ARTICLE DOI: 10.1038/s41467-017-02694-8 OPEN Quantitative proteomics identiﬁes redox switches for global translation modulation by mitochondrially produced reactive oxygen species Ulrike Topf1,2, Ida Suppanz3,4, Lukasz Samluk1,2, Lidia Wrobel1, Alexander Böser3, Paulina Sakowska1, Bettina Knapp3, Martyna K. Pietrzyk1,2, Agnieszka Chacinska1,2 & Bettina Warscheid3,4,5 1234567890():,; The generation of reactive oxygen species (ROS) is inevitably linked to life. However, the precise role of ROS in signalling and speciﬁc targets is largely unknown. We perform a global proteomic analysis to delineate the yeast redoxome to a depth of more than 4,300 unique cysteine residues in over 2,200 proteins. Mapping of redox-active thiols in proteins exposed to exogenous or endogenous mitochondria-derived oxidative stress reveals ROS-sensitive sites in several components of the translation apparatus. Mitochondria are the major source of cellular ROS. We demonstrate that increased levels of intracellular ROS caused by dysfunctional mitochondria serve as a signal to attenuate global protein synthesis. Hence, we propose a universal mechanism that controls protein synthesis by inducing reversible changes in the translation machinery upon modulating the redox status of proteins involved in translation. This crosstalk between mitochondria and protein synthesis may have an important contribution to pathologies caused by dysfunctional mitochondria. 1 International Institute of Molecular and Cell Biology, 4 Ks. Trojdena Street, 02-109 Warsaw, Poland. 2 Centre of New Technologies, University of Warsaw, S. Banacha 2c, 02-097 Warsaw, Poland. 3 Faculty of Biology, Institute of Biology II, Biochemistry–Functional Proteomics, University of Freiburg, Schänzlestrasse 1, 79104 Freiburg, Germany. 4 BIOSS Centre for Biological Signalling Studies, University of Freiburg, Schänzlestrasse 18, 79104 Freiburg, Germany.
[Show full text]
Defective Repression of OLE3::LUC 1 (DROL1) Is Specifically Required for the Splicing of AT–AC-Type Introns in Arabidopsis
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.19.345900; this version posted October 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Defective Repression of OLE3::LUC 1 (DROL1) is specifically required for the splicing of 2 AT–AC-type introns in Arabidopsis 3 4 Takamasa Suzuki1*, Tomomi Shinagawa1, Tomoko Niwa1, Hibiki Akeda1, Satoki 5 Hashimoto1, Hideki Tanaka1, Fumiya Yamasaki1, Tsutae Kawai1, Tetsuya Higashiyama2, 3, 4, 6 Kenzo Nakamura1 7 8 1Department of Biological Chemistry, College of Bioscience and Biotechnology, Chubu 9 University, 1200 Matsumoto-cho, Kasugai, Aichi 487-8501, Japan 10 2Institute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, Furo-cho, 11 Chikusa-ku, Nagoya, Aichi 464-8601, Japan; 12 3Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Aichi 13 464-8602, Japan; 14 4Department of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1 15 Hongo, Bukyo-ku, Tokyo 113-0033, Japan 16 17 *Corresponding author: 18 Phone: +81-568-51-6369 19 Fax: +81-568-52-6594 20 E-mail: [email protected] 21 22 Running title: DROL1 specifically splice AT–AC introns 23 24 The authors responsible for distribution of materials integral to the findings presented in this 25 article in accordance with the policy described in the Instructions for Authors 26 (www.plantcell.org) are: Takamasa S.
[Show full text]
UC Berkeley UC Berkeley Electronic Theses and Dissertations
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Networks of Splice Factor Regulation by Unproductive Splicing Coupled With NMD Permalink https://escholarship.org/uc/item/4md923q7 Author Desai, Anna Publication Date 2017 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Networks of Splice Factor Regulation by Unproductive Splicing Coupled With NMD by Anna Maria Desai A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Comparative Biochemistry in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Steven E. Brenner, Chair Professor Donald Rio Professor Lin He Fall 2017 Abstract Networks of Splice Factor Regulation by Unproductive Splicing Coupled With NMD by Anna Maria Desai Doctor of Philosophy in Comparative Biochemistry University of California, Berkeley Professor Steven E. Brenner, Chair Virtually all multi-exon genes undergo alternative splicing (AS) to generate multiple protein isoforms. Alternative splicing is regulated by splicing factors, such as the serine/arginine rich (SR) protein family and the heterogeneous nuclear ribonucleoproteins (hnRNPs). Splicing factors are essential and highly conserved. It has been shown that splicing factors modulate alternative splicing of their own transcripts and of transcripts encoding other splicing factors. However, the extent of this alternative splicing regulation has not yet been determined. I hypothesize that the splicing factor network extends to many SR and hnRNP proteins, and is regulated by alternative splicing coupled to the nonsense mediated mRNA decay (NMD) surveillance pathway. The NMD pathway has a role in preventing accumulation of erroneous transcripts with dominant negative phenotypes.
[Show full text]
Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis
Getting “Under the Skin”: Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis by Kristen Monét Brown A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Epidemiological Science) in the University of Michigan 2017 Doctoral Committee: Professor Ana V. Diez-Roux, Co-Chair, Drexel University Professor Sharon R. Kardia, Co-Chair Professor Bhramar Mukherjee Assistant Professor Belinda Needham Assistant Professor Jennifer A. Smith © Kristen Monét Brown, 2017 [email protected] ORCID iD: 0000-0002-9955-0568 Dedication I dedicate this dissertation to my grandmother, Gertrude Delores Hampton. Nanny, no one wanted to see me become “Dr. Brown” more than you. I know that you are standing over the bannister of heaven smiling and beaming with pride. I love you more than my words could ever fully express. ii Acknowledgements First, I give honor to God, who is the head of my life. Truly, without Him, none of this would be possible. Countless times throughout this doctoral journey I have relied my favorite scripture, “And we know that all things work together for good, to them that love God, to them who are called according to His purpose (Romans 8:28).” Secondly, I acknowledge my parents, James and Marilyn Brown. From an early age, you two instilled in me the value of education and have been my biggest cheerleaders throughout my entire life. I thank you for your unconditional love, encouragement, sacrifices, and support. I would not be here today without you. I truly thank God that out of the all of the people in the world that He could have chosen to be my parents, that He chose the two of you.
[Show full text]
INTACT) Nirav M
© 2014. Published by The Company of Biologists Ltd | Development (2014) 141, 962-973 doi:10.1242/dev.098327 RESEARCH ARTICLE TECHNIQUES AND RESOURCES Proteomic profiling of cardiac tissue by isolation of nuclei tagged in specific cell types (INTACT) Nirav M. Amin1,2, Todd M. Greco3, Lauren M. Kuchenbrod1,4, Maggie M. Rigney5, Mei-I Chung5, John B. Wallingford5,6, Ileana M. Cristea3 and Frank L. Conlon1,2,4,* ABSTRACT cell populations can be isolated on the basis of the expression of a The proper dissection of the molecular mechanisms governing the tissue- or cell-specific surface antigen using, for example, panning specification and differentiation of specific cell types requires isolation or fluorescence-activated cell sorting (FACS) (Barker et al., 1975; of pure cell populations from heterogeneous tissues and whole Barres et al., 1988; Mage et al., 1977; Wysocki and Sato, 1978, organisms. Here, we describe a method for purification of nuclei from Dorrell et al., 2008; Flores-Langarica et al., 2005; Hoi et al., 2010; defined cell or tissue types in vertebrate embryos using INTACT Lawson et al., 2007; Osorio et al., 2008; Pruszak et al., 2009; (isolation of nuclei tagged in specific cell types). This method, Sugiyama et al., 2007; Shen et al., 2003, Claycomb et al., 1998). previously developed in plants, flies and worms, utilizes in vivo However, these approaches require either that the cell population of tagging of the nuclear envelope with biotin and the subsequent interest expresses a unique surface antigen or a reporter construct(s) affinity purification of the labeled nuclei. In this study we successfully that is exclusive to a specific cell or tissue type (Aubert et al., 2003; purified nuclei of cardiac and skeletal muscle from Xenopus using this Bonn et al., 2012a; Bonn et al., 2012b; Fox et al., 2005; Jesty et al., strategy.
[Show full text]
Genomic Profile of Copy Number Variants on the Short Arm of Human
European Journal of Human Genetics (2010) 18, 1114–1120 & 2010 Macmillan Publishers Limited All rights reserved 1018-4813/10 www.nature.com/ejhg ARTICLE Genomic proﬁle of copy number variants on the short arm of human chromosome 8 Shihui Yu*,1, Stephanie Fiedler1, Andrew Stegner1 and William D Graf2 We evaluated 966 consecutive pediatric patients with various developmental disorders by high-resolution microarray-based comparative genomic hybridization and found 10 individuals with pathogenic copy number variants (CNVs) on the short arm of chromosome 8 (8p), representing approximately 1% of the patients analyzed. Two patients with 8p terminal deletion associated with interstitial inverted duplication (inv dup del(8p)) had different mechanisms leading to the formation of a dicentric intermediate during meiosis. Three probands carried an identical B5.0 Mb interstitial duplication of chromosome 8p23.1. Four possible hotspots within 8p were observed at nucleotide coordinates of B10.45, 24.32–24.82, 32.19–32.77, and 38.94–39.72 Mb involving the formation of recurrent genomic rearrangements. Other CNVs with deletion- or duplication- speciﬁc start or stop coordinates on the 8p provide useful information for exploring the basic mechanisms of complex structural rearrangements in the human genome. European Journal of Human Genetics (2010) 18, 1114–1120; doi:10.1038/ejhg.2010.66; published online 12 May 2010 Keywords: microarray-based comparative genomic hybridization; short arm of chromosome 8; copy number variant; genomic disorders INTRODUCTION MATERIALS AND METHODS The short arm of human chromosome 8 (8p) spans about 44 million Specimen acquisition base pairs containing 484 annotated genes (NCBI Build 36.3 of The DNA samples used for this research study came from 966 consecutive the human genome).1 Point mutations in more than 50 genes on pediatric patients referred for genome-wide screen testing by aCGH in our the 8p are associated with various genetic disorders and diseases laboratory.
[Show full text]
Transitive Functional Annotation by Shortest-Path Analysis of Gene Expression Data
Transitive functional annotation by shortest-path analysis of gene expression data Xianghong Zhou*, Ming-Chih J. Kao*, and Wing Hung Wong*†‡ *Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115; and †Department of Statistics, Harvard University, Cambridge, MA 02138 Edited by Michael S. Waterman, University of Southern California, Los Angeles, CA, and approved July 19, 2002 (received for review March 18, 2002) Current methods for the functional analysis of microarray gene example, (i) some biological processes are protracted in time, expression data make the implicit assumption that genes with similar e.g., the cell cycle, so that expression relationships are revealed expression profiles have similar functions in cells. However, among at different time points along the process. Using transitive genes involved in the same biological pathway, not all gene pairs co-expression, we can establish linkages between these genes to show high expression similarity. Here, we propose that transitive unveil the complete pathway. (ii) genetic and biochemical net- expression similarity among genes can be used as an important works of a cell must withstand substantial random perturbations. attribute to link genes of the same biological pathway. Based on Based on the principle of efficiency, mechanisms such as neg- large-scale yeast microarray expression data, we use the shortest- ative feedback loops limit the number of genes that fluctuate in path analysis to identify transitive genes between two given genes their expressions. Thus different sets of experiments perturb from the same biological process. We find that not only functionally different segments of a biological pathway to different extents, related genes with correlated expression profiles are identified but so that the expression relationships among genes along the also those without.
[Show full text]
Integrated Analysis of RNA-Binding Proteins in Human Colorectal Cancer Xuehui Fan, Lili Liu, Yue Shi, Fanghan Guo, Haining Wang, Xiuli Zhao, Di Zhong and Guozhong Li*
Fan et al. World Journal of Surgical Oncology (2020) 18:222 https://doi.org/10.1186/s12957-020-01995-5 RESEARCH Open Access Integrated analysis of RNA-binding proteins in human colorectal cancer Xuehui Fan, Lili Liu, Yue Shi, Fanghan Guo, Haining Wang, Xiuli Zhao, Di Zhong and Guozhong Li* Abstract Background: Although RNA-binding proteins play an essential role in a variety of different tumours, there are still limited efforts made to systematically analyse the role of RNA-binding proteins (RBPs) in the survival of colorectal cancer (CRC) patients. Methods: Analysis of CRC transcriptome data collected from the TCGA database was conducted, and RBPs were extracted from CRC. R software was applied to analyse the differentially expressed genes (DEGs) of RBPs. To identify related pathways and perform functional annotation of RBP DEGs, Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were carried out using the database for annotation, visualization and integrated discovery. Protein-protein interactions (PPIs) of these DEGs were analysed based on the Search Tool for the Retrieval of Interacting Genes (STRING) database and visualized by Cytoscape software. Based on the Cox regression analysis of the prognostic value of RBPs (from the PPI network) with survival time, the RBPs related to survival were identified, and a prognostic model was constructed. To verify the model, the data stored in the TCGA database were designated as the training set, while the chip data obtained from the GEO database were treated as the test set. Then, both survival analysis and ROC curve verification were conducted.
[Show full text]
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulﬁllment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacriﬁces. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ......................................................
[Show full text]
LEF-1 Drives Aberrant Я-Catenin Nuclear Localization in Myeloid
Acute Myeloid Leukemia SUPPLEMENTARY APPENDIX LEF-1 drives aberrant -catenin nuclear localization in myeloid leukemia cells β Rhys G. Morgan, 1,2 Jenna Ridsdale, 3 Megan Payne, 1 Kate J. Heesom, 4 Marieangela C. Wilson, 4 Andrew Davidson, 1 Alexander Greenhough, 1 Sara Davies, 3 Ann C. Williams, 1 Allison Blair, 1 Marian L. Waterman, 5 Alex Tonks 3 and Richard L. Darley 3 1School of Life Sciences, University of Sussex, Brighton, UK; 2School of Cellular and Molecular Medicine, University of Bristol, UK; 3Depart - ment of Haematology, Division of Cancer and Genetics, School of Medicine, Cardiff University, UK; 4University of Bristol Proteomics Facility, UK and 5Department of Microbiology and Molecular Genetics, University of California, Irvine, CA, USA ©2019 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2018.202846 Received: July 26, 2018. Accepted: January 3, 2019. Pre-published: January 10, 2019. Correspondence: RICHARD DARLEY - [email protected] RHYS MORGAN - [email protected] Morgan et al, 2019 LEF-1 regulates β-catenin nuclear localization Supplementary Table S1. Clinical characteristics of AML/MDS patient diagnostic/relapse samples used in this study. Patient Age (at Sex WBC Sample Secondary Genetic information Other clinical information no. diagnosis) count type disease (x109/L) (Y/N) 1 76 F 389 LP N Normal karyotype, NPM1+, FLT3+ n/a 2 4 M n/a BM n/a n/a n/a 3 10 F n/a BM n/a n/a Deceased 4 n/a n/a >200 PB Y n/a Post-allogeneic transplant. M0/1 (previously diagnosed with M3 10 years previous) 5 6 M n/a BM Y n/a Relapse 6 17 M n/a BM Y n/a Post-BMT for AML following 2 relapses.
[Show full text]
Arabidopsis Response to the Carcinogen Benzo[A]Pyrene
ARABIDOPSIS RESPONSE TO THE CARCINOGEN BENZO[A]PYRENE A DISSERTATION SUBMITTED TO THE GRADUATE DIVISION OF THE UNIVERSITY OF HAW AIT IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN TROPICAL PLANT AND SOE. SCIENCES DECEMBER 2008 By Beth Irikura Dissertation Committee: Robert Pauli, Chairperson Henrik Albert Paul Moore Ming-Li Wang Paul Patek We certify that we have read this dissertation and that, in our opinion, it is satisfactory in scope and quality as a dissertation for the degree of Doctor of Philosophy in Tropical Plant and Soil Sciences. DISSERTATION COMMITTEE Chairperson 11 ©Copyright by Beth Irikxira 2008 All Rights Reserved 111 ACKNOWLEDGEMENTS I am fortunate to have been able to design a project that has held my interest throughout. Funding was provided in part by ARCS Foundation awards and a U.S. Dept, of Education GAANN Fellowship in Interdisciplinary Biotechnology. I’d like to acknowledge the people and situations that made this research possible. First, I thank my father for demonstrating a profound love of science, while encouraging his children to explore all other conceivable options. My mother’s death by lung cancer at the age of 54 interrupted my college education, too late to stop me from getting a BA in English literature, but so early that it forced me to reevaluate priorities. My mother also pioneered in our family, showing that an artist could teach science. The last photo of my mother is from late 1983. She’s dressed up as a chicken, and she’s laughing. I like to think she was trying to signal the connection between avian sarcoma virus and cancer, which provided the first molecular understanding of cancer processes.
[Show full text]