ARP45619 P050) Data Sheet

Total Page:16

File Type:pdf, Size:1020Kb

ARP45619 P050) Data Sheet NR5A1 antibody - middle region (ARP45619_P050) Data Sheet Product Number ARP45619_P050 Product Name NR5A1 antibody - middle region (ARP45619_P050) Size 50ug Gene Symbol NR5A1 Alias Symbols AD4BP; ELP; FTZ1; FTZF1; SF-1; SF1; POF7; SPGF8; SRXY3 Nucleotide Accession# NM_004959 Protein Size (# AA) 461 amino acids Molecular Weight 52kDa Product Format Lyophilized powder NCBI Gene Id 2516 Host Rabbit Clonality Polyclonal Official Gene Full Name Nuclear receptor subfamily 5, group A, member 1 Gene Family NR This is a rabbit polyclonal antibody against NR5A1. It was validated on Western Blot using a cell lysate as a Description positive control. Aviva Systems Biology strives to provide antibodies covering each member of a whole protein family of your interest. We also use our best efforts to provide you antibodies recognize various epitopes of a target protein. For availability of antibody needed for your experiment, please inquire (). Peptide Sequence Synthetic peptide located within the following region: SLHGPEPKGLAAGPPAGPLGDFGAPALPMAVPGAHGPLAGYLYPAFPGRA Target Reference Clark,H.F., Mol. Cell. Biochem. 307 (1-2), 65-71 (2008) NR5A1 is an important regulator of steroidogeneisis which is present in human skin and its appendages. It plays a role in regulating p450scc expression with TReP-132 and CBP/p300. The protein encoded by this gene Description of Target is a transcriptional activator involved in sex determination. The encoded protein binds DNA as a monomer. Defects in this gene are a cause of XY sex reversal with or without adrenal failure as well as adrenocortical insufficiency without ovarian defect. Publication Note: This RefSeq record includes a subset of the publications that are available for this gene. Please see the Entrez Gene record to access additional publications. AR, CTNNB1, EDF1, GATA4, GTF2B, JUN, MAPK1, NCOA1, NFKB2, NFYA, NR0B1, NRIP1, PIAS1, PITX1, Partner Proteins PNRC2, PROX1, SMARCD3, SOX2, SOX8, SOX9, SP1, TBX19, TRERF1, ZNF653, CTNNB1, EDF1, GATA4, GTF2B, JUN, NCOA1, NR0B1, NRIP1, PITX1, SOX9, SP1, TRERF1, ZNF653 Reconstitution and Add 50 ul of distilled water. Final anti-NR5A1 antibody concentration is 1 mg/ml in PBS buffer with 2% sucrose. Storage For longer periods of storage, store at -20C. Avoid repeat freeze-thaw cycles. Lead Time Domestic: within 24 hours delivery International: 3-5 business days Blocking Peptide For anti-NR5A1 antibody is Catalog # AAP45619 (Previous Catalog # AAPP11902) Immunogen The immunogen for anti-NR5A1 antibody: synthetic peptide directed towards the middle region of human NR5A1 Swissprot Id Q13285 Protein Name Steroidogenic factor 1 Protein Accession # NP_004950 Purification Affinity Purified Species Reactivity Human, Pig, Guinea pig, Dog, Horse, Rat, Rabbit, Bovine, Sheep Application IHC, WB Predicted Homology Based on Immunogen Human: 100%; Pig: 92%; Guinea pig: 91%; Dog: 86%; Rat: 86%; Horse: 86%; Sheep: 79%; Bovine: 79%; Rabbit: 79% Sequence Human THP-1 WB Suggested Anti-NR5A1 Antibody Titration: 0.2- 1 ug/ml ELISA Titer: 1:1562500 Positive Control: THP-1 cell lysate Image 1 __________________________________________________________________________________________________________________________________________________________________ This product is for Research Use Only. Not for diagnostic, human, or veterinary use. Optimal conditions of its use should be determined by end users..
Recommended publications
  • Analysis of Trans Esnps Infers Regulatory Network Architecture
    Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation.
    [Show full text]
  • Activated Peripheral-Blood-Derived Mononuclear Cells
    Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays.
    [Show full text]
  • 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.
    [Show full text]
  • 4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
    Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4).
    [Show full text]
  • Epigenetics Page 1
    Epigenetics esiRNA ID Gene Name Gene Description Ensembl ID HU-13237-1 ACTL6A actin-like 6A ENSG00000136518 HU-13925-1 ACTL6B actin-like 6B ENSG00000077080 HU-14457-1 ACTR1A ARP1 actin-related protein 1 homolog A, centractin alpha (yeast) ENSG00000138107 HU-10579-1 ACTR2 ARP2 actin-related protein 2 homolog (yeast) ENSG00000138071 HU-10837-1 ACTR3 ARP3 actin-related protein 3 homolog (yeast) ENSG00000115091 HU-09776-1 ACTR5 ARP5 actin-related protein 5 homolog (yeast) ENSG00000101442 HU-00773-1 ACTR6 ARP6 actin-related protein 6 homolog (yeast) ENSG00000075089 HU-07176-1 ACTR8 ARP8 actin-related protein 8 homolog (yeast) ENSG00000113812 HU-09411-1 AHCTF1 AT hook containing transcription factor 1 ENSG00000153207 HU-15150-1 AIRE autoimmune regulator ENSG00000160224 HU-12332-1 AKAP1 A kinase (PRKA) anchor protein 1 ENSG00000121057 HU-04065-1 ALG13 asparagine-linked glycosylation 13 homolog (S. cerevisiae) ENSG00000101901 HU-13552-1 ALKBH1 alkB, alkylation repair homolog 1 (E. coli) ENSG00000100601 HU-06662-1 ARID1A AT rich interactive domain 1A (SWI-like) ENSG00000117713 HU-12790-1 ARID1B AT rich interactive domain 1B (SWI1-like) ENSG00000049618 HU-09415-1 ARID2 AT rich interactive domain 2 (ARID, RFX-like) ENSG00000189079 HU-03890-1 ARID3A AT rich interactive domain 3A (BRIGHT-like) ENSG00000116017 HU-14677-1 ARID3B AT rich interactive domain 3B (BRIGHT-like) ENSG00000179361 HU-14203-1 ARID3C AT rich interactive domain 3C (BRIGHT-like) ENSG00000205143 HU-09104-1 ARID4A AT rich interactive domain 4A (RBP1-like) ENSG00000032219 HU-12512-1 ARID4B AT rich interactive domain 4B (RBP1-like) ENSG00000054267 HU-12520-1 ARID5A AT rich interactive domain 5A (MRF1-like) ENSG00000196843 HU-06595-1 ARID5B AT rich interactive domain 5B (MRF1-like) ENSG00000150347 HU-00556-1 ASF1A ASF1 anti-silencing function 1 homolog A (S.
    [Show full text]
  • Ten Commandments for a Good Scientist
    Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Wageningen 2010 Thesis committee Thesis supervisors Prof. dr. ir. Ivonne M.C.M. Rietjens Professor of Toxicology Wageningen University Prof. dr. Albertinka J. Murk Personal chair at the sub-department of Toxicology Wageningen University Thesis co-supervisor Dr. ir. Jacques J.M. Vervoort Associate professor at the Laboratory of Biochemistry Wageningen University Other members Prof. dr. Michael R. Muller, Wageningen University Prof. dr. ir. Huub F.J. Savelkoul, Wageningen University Prof. dr. Everardus J. van Zoelen, Radboud University Nijmegen Dr. ir. Toine F.H. Bovee, RIKILT, Wageningen This research was conducted under the auspices of the Graduate School VLAG Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Thesis submitted in fulfillment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus Prof. dr. M.J. Kropff, in the presence of the Thesis Committee appointed by the Academic Board to be defended in public on Tuesday 14 September 2010 at 4 p.m. in the Aula Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds. Ana María Sotoca Covaleda Thesis Wageningen University, Wageningen, The Netherlands, 2010, With references, and with summary in Dutch. ISBN: 978-90-8585-707-5 “Caminante no hay camino, se hace camino al andar. Al andar se hace camino, y al volver la vista atrás se ve la senda que nunca se ha de volver a pisar” - Antonio Machado – A mi madre.
    [Show full text]
  • SUPPLEMENTARY MATERIAL Bone Morphogenetic Protein 4 Promotes
    www.intjdevbiol.com doi: 10.1387/ijdb.160040mk SUPPLEMENTARY MATERIAL corresponding to: Bone morphogenetic protein 4 promotes craniofacial neural crest induction from human pluripotent stem cells SUMIYO MIMURA, MIKA SUGA, KAORI OKADA, MASAKI KINEHARA, HIROKI NIKAWA and MIHO K. FURUE* *Address correspondence to: Miho Kusuda Furue. Laboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki, Osaka 567-0085, Japan. Tel: 81-72-641-9819. Fax: 81-72-641-9812. E-mail: [email protected] Full text for this paper is available at: http://dx.doi.org/10.1387/ijdb.160040mk TABLE S1 PRIMER LIST FOR QRT-PCR Gene forward reverse AP2α AATTTCTCAACCGACAACATT ATCTGTTTTGTAGCCAGGAGC CDX2 CTGGAGCTGGAGAAGGAGTTTC ATTTTAACCTGCCTCTCAGAGAGC DLX1 AGTTTGCAGTTGCAGGCTTT CCCTGCTTCATCAGCTTCTT FOXD3 CAGCGGTTCGGCGGGAGG TGAGTGAGAGGTTGTGGCGGATG GAPDH CAAAGTTGTCATGGATGACC CCATGGAGAAGGCTGGGG MSX1 GGATCAGACTTCGGAGAGTGAACT GCCTTCCCTTTAACCCTCACA NANOG TGAACCTCAGCTACAAACAG TGGTGGTAGGAAGAGTAAAG OCT4 GACAGGGGGAGGGGAGGAGCTAGG CTTCCCTCCAACCAGTTGCCCCAAA PAX3 TTGCAATGGCCTCTCAC AGGGGAGAGCGCGTAATC PAX6 GTCCATCTTTGCTTGGGAAA TAGCCAGGTTGCGAAGAACT p75 TCATCCCTGTCTATTGCTCCA TGTTCTGCTTGCAGCTGTTC SOX9 AATGGAGCAGCGAAATCAAC CAGAGAGATTTAGCACACTGATC SOX10 GACCAGTACCCGCACCTG CGCTTGTCACTTTCGTTCAG Suppl. Fig. S1. Comparison of the gene expression profiles of the ES cells and the cells induced by NC and NC-B condition. Scatter plots compares the normalized expression of every gene on the array (refer to Table S3). The central line
    [Show full text]
  • Uttrykking Final Ph[1].D THESIS TUYEN 27.10.06
    Nuclear Receptor Coregulators Role of Protein-Protein Interactions and cAMP/PKA Signaling Tuyen Thi Van Hoang Dissertation for the degree philosophiae doctor (PhD) at the University of Bergen October 2006 2 TABLE OF CONTENTS SCIENTIFIC ENVIRONMENTS.............................................................................................. 5 ACKNOWLEDGEMENTS ....................................................................................................... 7 LIST OF PAPERS...................................................................................................................... 9 ABBREVIATIONS.................................................................................................................. 11 PREFACE ................................................................................................................................ 13 INTRODUCTION.................................................................................................................... 15 1. Nuclear receptors ........................................................................................................... 15 1.1. Functional and structural domains ............................................................................ 15 1.2. Subfamilies and activation mechanisms ................................................................... 15 1.3. Steroidogenic factor-1............................................................................................... 19 1.3.1. Functional and structural domains ....................................................................
    [Show full text]
  • Genome-Scale Identification of Transcription Factors That Mediate An
    ARTICLE DOI: 10.1038/s41467-018-04406-2 OPEN Genome-scale identification of transcription factors that mediate an inflammatory network during breast cellular transformation Zhe Ji 1,2,4, Lizhi He1, Asaf Rotem1,2,5, Andreas Janzer1,6, Christine S. Cheng2,7, Aviv Regev2,3 & Kevin Struhl 1 Transient activation of Src oncoprotein in non-transformed, breast epithelial cells can initiate an epigenetic switch to the stably transformed state via a positive feedback loop that involves 1234567890():,; the inflammatory transcription factors STAT3 and NF-κB. Here, we develop an experimental and computational pipeline that includes 1) a Bayesian network model (AccessTF) that accurately predicts protein-bound DNA sequence motifs based on chromatin accessibility, and 2) a scoring system (TFScore) that rank-orders transcription factors as candidates for being important for a biological process. Genetic experiments validate TFScore and suggest that more than 40 transcription factors contribute to the oncogenic state in this model. Interestingly, individual depletion of several of these factors results in similar transcriptional profiles, indicating that a complex and interconnected transcriptional network promotes a stable oncogenic state. The combined experimental and computational pipeline represents a general approach to comprehensively identify transcriptional regulators important for a biological process. 1 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA. 2 Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. 3 Department of Biology, Howard Hughes Medical Institute and David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 20140, USA. 4Present address: Department of Pharmacology and Biomedical Engineering, Northwestern University, Evanston 60611 IL, USA.
    [Show full text]
  • Chain Gene Induced by GM-CSF Β Receptor Regulation of Human High-Affinity Ige Molecular Mechanisms for Transcriptional
    Molecular Mechanisms for Transcriptional Regulation of Human High-Affinity IgE Receptor β-Chain Gene Induced by GM-CSF This information is current as Kyoko Takahashi, Natsuko Hayashi, Shuichi Kaminogawa of September 23, 2021. and Chisei Ra J Immunol 2006; 177:4605-4611; ; doi: 10.4049/jimmunol.177.7.4605 http://www.jimmunol.org/content/177/7/4605 Downloaded from References This article cites 39 articles, 16 of which you can access for free at: http://www.jimmunol.org/content/177/7/4605.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 23, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2006 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Molecular Mechanisms for Transcriptional Regulation of Human High-Affinity IgE Receptor ␤-Chain Gene Induced by GM-CSF1 Kyoko Takahashi,*† Natsuko Hayashi,*‡ Shuichi Kaminogawa,† and Chisei Ra2* The ␤-chain of the high-affinity receptor for IgE (Fc␧RI) plays an important role in regulating activation of Fc␧RI-expressing cells such as mast cells in allergic reactions.
    [Show full text]
  • Cell-Specific Alterations in Pitx1 Regulatory Landscape Activation Caused 2 by the Loss of a Single Enhancer
    bioRxiv preprint doi: https://doi.org/10.1101/2021.03.10.434611; this version posted March 10, 2021. 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 Cell-specific alterations in Pitx1 regulatory landscape activation caused 2 by the loss of a single enhancer 3 4 5 Raquel Rouco1,2*, Olimpia Bompadre1,2*, Antonella Rauseo1,2, Olivier Fazio3, Fabrizio Thorel3, 6 Rodrigue Peraldi1,2, Guillaume Andrey1,2 7 8 9 1Department of Genetic Medicine and Development, Faculty of Medicine, University of 10 Geneva, Geneva, Switzerland 11 2Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, 12 Switzerland 13 3 Transgenesis Core Facility, Faculty of Medicine, University of Geneva, Geneva, Switzerland 14 15 *Authors contributed equally 16 Correspondence: [email protected] 17 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.10.434611; this version posted March 10, 2021. 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. 18 Abstract 19 20 Most developmental genes rely on multiple transcriptional enhancers for their accurate expression 21 during embryogenesis. Because enhancers may have partially redundant activities, the loss of one 22 of them often leads to a partial loss of gene expression and concurrent moderate phenotypic 23 outcome, if any.
    [Show full text]
  • Tpit (TBX19) (NM 005149) Human Recombinant Protein Product Data
    OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TP310787 Tpit (TBX19) (NM_005149) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Recombinant protein of human T-box 19 (TBX19) Species: Human Expression Host: HEK293T Tag: C-Myc/DDK Predicted MW: 48.1 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25 mM Tris.HCl, pH 7.3, 100 mM glycine, 10% glycerol Bioactivity: ELISpot (PMID: 30008158) Preparation: Recombinant protein was captured through anti-DDK affinity column followed by conventional chromatography steps. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_005140 Locus ID: 9095 UniProt ID: O60806, B3KRD9 RefSeq Size: 2882 Cytogenetics: 1q24.2 RefSeq ORF: 1344 Synonyms: dJ747L4.1; TBS19; TPIT This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 Tpit (TBX19) (NM_005149) Human Recombinant Protein – TP310787 Summary: This gene is a member of a phylogenetically conserved family of genes that share a common DNA-binding domain, the T-box. T-box genes encode transcription factors involved in the regulation of developmental processes. Mutations in this gene were found in patients with isolated deficiency of pituitary POMC-derived ACTH, suggesting an essential role for this gene in differentiation of the pituitary POMC lineage.
    [Show full text]