Ornithine Decarboxylase-1 (ODC-1) Mouse Monoclonal Antibody [Clone ODC1/485]

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Ornithine Decarboxylase-1 (ODC-1) Mouse Monoclonal Antibody [Clone ODC1/485]

NeoBiotechnologies, Inc. 2 Union Square Union City, CA 94587 Tel: 510-376-5603 Email: [email protected] , [email protected] Website: www.NeoBiotechnologies.com Ornithine Decarboxylase-1 (ODC-1) Mouse Monoclonal Antibody [Clone ODC1/485] Catalog No Format Size Price (USD) 4953-MSM1-P0 Purified Ab with BSA and Azide at 200ug/ml 20 ug 199.00 4953-MSM1-P1 Purified Ab with BSA and Azide at 200ug/ml 100 ug 459.00 4953-MSM1-P1ABX Purified Ab WITHOUT BSA and Azide at 1.0mg/ml 100 ug 459.00 Human Entrez Gene ID 4953 Immunogen Recombinant full-length human ODC-1 protein Human SwissProt P11926 Host / Ig Isotype Mouse / IgG1, kappa Human Unigene 467701 Mol. Weight of Antigen 53kDa Human Gene Symbol ODC1 Cellular Localization Cytoplasmic Human Chromosome 2p25.1 Species Reactivity Human. Mouse. Rat. Location Positive Control PC3 or LNCaP cells. Placental tissue lysate. Placenta, Synonyms Ornithine decarboxylase structural 1; RNODC Prostate or Testicular carcinoma. Formalin-fixed, paraffin-embedded Rat Pancreas stained with ODC1 Mouse Monoclonal Antibody (ODC1/485). Specificity & Comments Supplied As Recognizes a 53kDa protein, identified as the Ornithine Decarboxylase 200ug/ml of Ab Purified from Bioreactor Concentrate by Protein A/G. (ODC-1). ODC is the initial and rate-limiting enzyme in the biosynthetic Prepared in 10mM PBS with 0.05% BSA & 0.05% azide. Also available pathway of polyamines and is involved in the conversion of ornithine to WITHOUT BSA & azide at 1.0mg/ml. putrescine. The biological activity of ODC-1 is rapidly induced in response to virtually all agents known to promote cell proliferation including hormones, Storage and Stability drugs, growth factors, mitogens, and tumor promoters. Reportedly, ODC mRNA levels are elevated in lung carcinomas as well as in colon adenomas Antibody with azide - store at 2 to 8°C. Antibody without azide - store at -20 and carcinomas. ODC activity in colorectal carcinomas is greater than those to -80°C. Antibody is stable for 24 months. Non-hazardous. No MSDS in adenomas and normal mucosa. required. Known Applications & Suggested Dilutions Limitations This antibody is available for research use only and is not approved for use in diagnosis. Western Blot (0.5-1ug/ml) Flow Cytometry (1-2ug/million cells) Warranty Immunofluorescence (1-2ug/ml) There are no warranties, expressed or implied, which extend beyond this Western Blot (1-2ug/ml) description. Company is not liable for any personal injury or economic Immunohistochemistry (Formalin-fixed) (0.25-0.5ug/ml for 30 minutes at loss resulting from this product. RT)(Staining of formalin-fixed tissues requires heating tissue sections in 10mM Tris with 1mM EDTA, pH 9.0, for 45 min at 95&degC followed by cooling at RT for 20 minutes) Optimal dilution for a specific application should be determined. Key References 1. Schipper RG; et al. Journal of Immunological Methods, 1993, 161(2):205-15. NBT00485.

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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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