TMPRSS4 polyclonal antibody
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Specification
Product Description
Goat polyclonal antibody raised against synthetic peptide of TMPRSS4.
Immunogen
A synthetic peptide corresponding to human TMPRSS4.
Sequence
DSTRCNADDAYQGE
Host
Goat
Theoretical MW (kDa)
48.2, 47.6
Reactivity
Human
Form
Liquid
Purification
Antigen affinity purification
Concentration
0.5 mg/mL
Quality Control Testing
Antibody Reactive Against Synthetic Peptide.
Recommend Usage
ELISA (1:1000)
Western Blot (1-3 ug/mL)
The optimal working dilution should be determined by the end user.Storage Buffer
In Tris saline, pH 7.3 (0.5% BSA, 0.02% sodium azide)
Storage Instruction
Store at -20°C.
Aliquot to avoid repeated freezing and thawing.Note
This product contains sodium azide: a POISONOUS AND HAZARDOUS SUBSTANCE which should be handled by trained staff only.
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Applications
Western Blot (Tissue lysate)
TMPRSS4 polyclonal antibody (Cat # PAB11594) (1 ug/mL) staining of human bone marrow lysate (35 ug protein in RIPA buffer). Primary incubation was 1 hour. Detected by chemiluminescence.Enzyme-linked Immunoabsorbent Assay
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Gene Info — TMPRSS4
Entrez GeneID
56649Protein Accession#
NP_063947.1;NP_001077416.1Gene Name
TMPRSS4
Gene Alias
MT-SP2, TMPRSS3
Gene Description
transmembrane protease, serine 4
Omim ID
606565Gene Ontology
HyperlinkGene Summary
This gene encodes a member of the serine protease family. Serine proteases are known to be involved in a variety of biological processes, whose malfunction often leads to human diseases and disorders. This gene was identified as a gene overexpressed in pancreatic carcinoma. The encoded protein is membrane bound with a N-terminal anchor sequence and a glycosylated extracellular region containing the serine protease domain. Multiple transcript variants encoding different isoforms have been found for this gene. [provided by RefSeq
Other Designations
membrane-type serine protease 2|transmembrane serine protease 3|type II membrane serine protease
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Interactome
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Publication Reference
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Structural templates predict novel protein interactions and targets from pancreas tumour gene expression data.
Dawelbait G, Winter C, Zhang Y, Pilarsky C, Grutzmann R, Heinrich JC, Schroeder M.
Bioinformatics 2007 Jul; 23(13):i115.
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Structural templates predict novel protein interactions and targets from pancreas tumour gene expression data.
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