Alpha-Amylase 2B Antibody / AMY2B (F54556)

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Alpha-amylase 2B Antibody / AMY2B (F54556) Catalog No. Formulation Size F54556-0.4ML In 1X PBS, pH 7.4, with 0.09% sodium azide 0.4 ml F54556-0.08ML In 1X PBS, pH 7.4, with 0.09% sodium azide 0.08 ml Bulk quote request Availability 1-3 business days Species Reactivity Human Format Purified Clonality Polyclonal (rabbit origin) Isotype Rabbit Ig Purity Antigen affinity purified UniProt P19961 Localization Cytoplasmic Applications Immunofluorescence : 1:25 Flow cytometry : 1:25 (1x10e6 cells) Immunohistochemistry (FFPE) : 1:25 Western blot : 1:500-1:2000 Limitations This Alpha-amylase 2B antibody is available for research use only. Western blot testing of human 1) HL60, 2) CEM and 3) K562 cell lysate with Alpha-amylase 2B antibody. Predicted molecular weight ~57 kDa. Immunofluorescent staining of human HEK293 cells with Alpha-amylase 2B antibody (green) and DAPI nuclear stain (blue). IHC testing of FFPE human brain tissue with Alpha-amylase 2B antibody. HIER: steam section in pH6 citrate buffer for 20 min and allow to cool prior to staining. Flow cytometry testing of human CEM cells with Alpha-amylase 2B antibody; Blue=isotype control, Green= Alpha-amylase 2B antibody. Description Amylases are secreted proteins that hydrolyze 1,4-alpha-glucoside bonds in oligosaccharides and polysaccharides, and thus catalyze the first step in digestion of dietary starch and glycogen. The human genome has a cluster of several amylase genes that are expressed at high levels in either salivary gland or pancreas. This gene encodes an amylase isoenzyme produced by the pancreas. Application Notes The stated application concentrations are suggested starting points. Titration of the Alpha-amylase 2B antibody may be required due to differences in protocols and secondary/substrate sensitivity. Immunogen A portion of amino acids 74-100 from the human protein was used as the immunogen for the Alpha-amylase 2B antibody. Storage Aliquot the Alpha-amylase 2B antibody and store frozen at -20oC or colder. Avoid repeated freeze-thaw cycles. Ordering: Phone:858.663.9055 | Fax:1.267.821.0800 | Email:[email protected] Copyright © NSJ Bioreagents. All rights reserved.

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Structural Forms of the Human Amylase Locus and Their Relationships to Snps, Haplotypes, and Obesity
Structural Forms of the Human Amylase Locus and Their Relationships to SNPs, Haplotypes, and Obesity The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Usher, Christina Leigh. 2015. Structural Forms of the Human Amylase Locus and Their Relationships to SNPs, Haplotypes, and Obesity. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467224 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Structural forms of the human amylase locus and their relationships to SNPs, haplotypes, and obesity A dissertation presented by Christina Leigh Usher to The Division of Medical Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of Genetics and Genomics Harvard University Cambridge, Massachusetts March 2015 © 2015 Christina Leigh Usher All rights reserved. Dissertation Advisor: Professor Steven McCarroll Christina Leigh Usher Structural forms of the human amylase locus and their relationships to SNPs, haplotypes, and obesity Abstract Hundreds of human genes reside in structurally complex loci that elude molecular analysis and assessment in genome-wide association studies (GWAS). One such locus contains the three different amylase genes (AMY2B, AMY2A, and AMY1) responsible for digesting starch into sugar. The copy number of AMY1 is reported to be the genome’s largest influence on obesity, yet has gone undetected in GWAS.
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Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected]
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bioRxiv preprint doi: https://doi.org/10.1101/659078; this version posted June 3, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Improved detection of gene fusions by applying statistical methods reveals new oncogenic RNA cancer drivers Roozbeh Dehghannasiri1, Donald Eric Freeman1,2, Milos Jordanski3, Gillian L. Hsieh1, Ana Damljanovic4, Erik Lehnert4, Julia Salzman1,2,5* Author affiliation 1Department of Biochemistry, Stanford University, Stanford, CA 94305 2Department of Biomedical Data Science, Stanford University, Stanford, CA 94305 3Department of Computer Science, University of Belgrade, Belgrade, Serbia 4Seven Bridges Genomics, Cambridge, MA 02142 5Stanford Cancer Institute, Stanford, CA 94305 *Corresponding author [email protected] Short Abstract: The extent to which gene fusions function as drivers of cancer remains a critical open question. Current algorithms do not sufficiently identify false-positive fusions arising during library preparation, sequencing, and alignment. Here, we introduce a new algorithm, DEEPEST, that uses statistical modeling to minimize false-positives while increasing the sensitivity of fusion detection. In 9,946 tumor RNA-sequencing datasets from The Cancer Genome Atlas (TCGA) across 33 tumor types, DEEPEST identifies 31,007 fusions, 30% more than identified by other methods, while calling ten-fold fewer false-positive fusions in non-transformed human tissues. We leverage the increased precision of DEEPEST to discover new cancer biology. For example, 888 new candidate oncogenes are identified based on over-representation in DEEPEST-Fusion calls, and 1,078 previously unreported fusions involving long intergenic noncoding RNAs partners, demonstrating a previously unappreciated prevalence and potential for function.
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Supplementary Note 1 - Copy Number Estimation with Fastcn
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Mus Musculus) Was Subject to Repeated Introgression Including the Rescue of a Pseudogene Miriam Linnenbrink†, Kristian K
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