Rabbit Anti-LRG1/FITC Conjugated Antibody

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Rabbit Anti-LRG1/FITC Conjugated Antibody

SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-LRG1/FITC Conjugated antibody SL10536R-FITC Product Name: Anti-LRG1/FITC Chinese Name: FITC标记的富含亮氨酸α2glycoprotein抗体 1300008B03Rik; 2310031E04Rik; A2GL_HUMAN; HMFT1766; Leucine rich alpha 2 Alias: glycoprotein; Leucine-rich alpha-2-glycoprotein 1; Leucine-rich alpha-2-glycoprotein; Leucine-rich alpha-2-glycoprotein precursor; LRG; LRG1. Organism Species: Rabbit Clonality: Polyclonal React Species: Human, Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 38kDa Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human LRG1 Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01Mwww.sunlongbiotech.com 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: The leucine-rich repeat (LRR) family of proteins, including LRG1, have been shown to be involved in protein-protein interaction, signal transduction, and cell adhesion and development. LRG1 is expressed during granulocyte differentiation (O'Donnell et al., Product Detail: 2002 [PubMed 12223515]).[supplied by OMIM, Mar 2008] Subcellular Location: Secreted. Tissue Specificity: Plasma. Similarity: Contains 8 LRR (leucine-rich) repeats. Contains 1 LRRCT domain. Database links: Entrez Gene: 116844Human Entrez Gene: 76905Mouse Entrez Gene: 367455Rat Omim: 611289Human SwissProt: P02750Human Unigene: 655559Human Unigene: 348025Mouse Unigene: 17847Rat Important Note: This product as supplied is intended for research use only, not for use in human, therapeutic or diagnostic applications. www.sunlongbiotech.com.

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LRG1 Promotes Diabetic Kidney Disease Progression by Enhancing TGF-B–Induced Angiogenesis
BASIC RESEARCH www.jasn.org LRG1 Promotes Diabetic Kidney Disease Progression by Enhancing TGF-b–Induced Angiogenesis Quan Hong,1,2 Lu Zhang,3,1 Jia Fu,1 Divya A. Verghese,1 Kinsuk Chauhan,1 Girish N. Nadkarni,1 Zhengzhe Li,1 Wenjun Ju,4 Matthias Kretzler ,4 Guang-Yan Cai,2 Xiang-Mei Chen,2 Vivette D. D’Agati,5 Steven G. Coca ,1 Detlef Schlondorff,1 John C. He,1,6 and Kyung Lee1 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Glomerular endothelial dysfunction and neoangiogenesis have long been implicated in the pathogenesis of diabetic kidney disease (DKD). However, the specific molecular pathways contributing to these processes in the early stages of DKD are not well understood. Our recent transcriptomic profiling of glomerular endothelial cells identified a number of proangiogenic genes that were upregulated in diabetic mice, including leucine-rich a-2-glycoprotein 1 (LRG1). LRG1 was previously shown to promote neovascularization in mouse models of ocular disease by potentiating endothelial TGF-b/activin receptor- like kinase 1 (ALK1) signaling. However, LRG1’s role in the kidney, particularly in the setting of DKD, has been unclear. Methods We analyzed expression of LRG1 mRNA in glomeruli of diabetic kidneys and assessed its localization by RNA in situ hybridization. We examined the effects of genetic ablation of Lrg1 on DKD progression in unilaterally nephrectomized, streptozotocin-induced diabetic mice at 12 and 20 weeks after diabetes induction. We also assessed whether plasma LRG1 was associated with renal outcome in patients with type 2 diabetes.
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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.
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LRG1 (C-4): Sc-390920
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LRG1) As a Target for a Potential Antibody– Drug Conjugate (ADC
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