PRSS2 Polyclonal Antibody

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PRODUCT DATA SHEET Bioworld Technology,Inc. PRSS2 polyclonal antibody Catalog: BS61619 Host: Rabbit Reactivity: Human,Mouse,Rat BackGround: Applications: This gene belongs to the trypsin family of serine proteas- WB: 1:500~1:1000 es and encodes anionic trypsinogen. It is part of a cluster Storage&Stability: of trypsinogen genes that are located within the T cell re- Store at 4°C short term. Aliquot and store at -20°C long ceptor beta locus. Enzymes of this family cleave peptide term. Avoid freeze-thaw cycles. bonds that follow lysine or arginine residues. This protein Specificity: is found at high levels in pancreatic juice and its upregu- PRSS2 polyclonal antibody detects endogenous levels of lation is a characteristic feature of pancreatitis. This pro- PRSS2 protein. tein has also been found to activate pro-urokinase in DATA: ovarian tumors, suggesting a function in tumor invasion. In addition, this enzyme is able to cleave across the type II collagen triple helix in rheumatoid arthritis synovitis tissue, potentially participating in the degradation of type II collagen-rich cartilage matrix. Alternative splicing re- sults in multiple transcript variants. Product: Western blot (WB) analysis of PRSS2 polyclonal antibody at 1:500 Rabbit IgG, 1mg/ml in PBS with 0.02% sodium azide, dilution 50% glycerol, pH7.2 Lane1:HT102 whole cell lysate(40ug) Molecular Weight: Lane2:SW620 whole cell lysate(40ug) ~ 26 kDa Lane3:CT26 whole cell lysate(40ug) Swiss-Prot: Lane4:PC12 whole cell lysate(40ug) P07478 Note: Purification&Purity: For research use only, not for use in diagnostic procedure. The antibody was affinity-purified from rabbit antiserum by affinity-chromatography using epitope-specific im- munogen and the purity is > 95% (by SDS-PAGE). Bioworld Technology, Inc. Bioworld technology, co. Ltd. Add： 1660 South Highway 100, Suite 500 St. Louis Park, Add： No 9, weidi road Qixia District Nanjing, 210046, MN 55416,USA. P. R. China. Email: [email protected] Email: [email protected] Tel: 6123263284 Tel: 0086-025-68037686 Fax: 6122933841 Fax: 0086-025-68035151 .

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PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks.
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Identification of Pancreatic Juice Proteins As Biomarkers of Pancreatic Cancer
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B Inhibition in a Mouse Model of Chronic Colitis1
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Trypsin-Encoding PRSS1-PRSS2 Variations
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Trypsin-Encoding PRSS1-PRSS2 Variations Influence the Risk Of
Trypsin-encoding PRSS1-PRSS2 variations influence the risk of asparaginase- associated pancreatitis in children with acute lymphoblastic leukemia A ponte di legno toxicity working group report on behalf of the Ponte di Legno toxicity working group Published in: Haematologica DOI: 10.3324/haematol.2018.199356 Publication date: 2019 Document version Publisher's PDF, also known as Version of record Document license: CC BY-NC Citation for published version (APA): on behalf of the Ponte di Legno toxicity working group (2019). Trypsin-encoding PRSS1-PRSS2 variations influence the risk of asparaginase-associated pancreatitis in children with acute lymphoblastic leukemia: A ponte di legno toxicity working group report. Haematologica, 104(3), 556-563. https://doi.org/10.3324/haematol.2018.199356 Download date: 30. Sep. 2021 ARTICLE Acute Lymphoblastic Leukemia Ferrata Storti Foundation Trypsin-encoding PRSS1-PRSS2 variations influence the risk of asparaginase-associated pancreatitis in children with acute lymphoblastic leukemia: a Ponte di Legno toxicity working group report Haematologica 2019 Benjamin O. Wolthers,1 Thomas L. Frandsen,1 Chirag J. Patel,2 Rachid Abaji,3 Volume 104(3):556-563 Andishe Attarbaschi,4 Shlomit Barzilai,5 Antonella Colombini,6 Gabriele Escherich,7 Marie Grosjean,8 Maja Krajinovic,3,9 Eric Larsen,10 Der-Cherng Liang,11 Anja Möricke,12 Kirsten K. Rasmussen,1 Sujith Samarasinghe,13 Lewis B. Silverman,14 Inge M. van der Sluis,15 Martin Stanulla,16 Morten Tulstrup,1 Rachita Yadav,8,17 Wenjian Yang,18 Ester Zapotocka,19 Ramneek
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Cervix Cancer
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