种属反应性
human
包装
kit of 96 wells (12 strips x 8 wells)
技术
ELISA: suitable
输入
sample type cell culture supernatant(s)
sample type serum
sample type plasma
assay range
inter-assay cv: <12%
intra-assay cv: <10%
sensitivity: 0.82 ng/mL
standard curve range: 0.819-200 ng/mL
检测方法
colorimetric
运输
wet ice
储存温度
−20°C
基因信息
human ... GAPDH(2597)
一般描述
The GAPHD (glyceraldehyde-3-phosphate dehydrogenase) gene is mapped to human chromosome 12p13.31. GAPHD encodes a multifunctional protein which is a glycolytic enzyme.
This ELISA antibody pair detects human GAPHD. Other species not yet determined.
应用
For research use only. Not for use in diagnostic procedures.
Please refer to the attached Protocolfor details.
Please refer to the attached Protocolfor details.
生化/生理作用
GAPHD (glyceraldehyde-3-phosphate dehydrogenase) is associated with the progression of Huntington′s disease by increasing cytotoxicity. Gaphd is often referred to as glycolytic enzyme and catalyzes the sixth step in glycolysis. The Gaphd enzyme possess uracil-DNA glycosylase activity. The enzyme regulates transcription, posttranscriptional gene expression, intracellular membrane trafficking and apoptosis.
其他说明
A sample Certificate of Analysis is available for this product. Please type the word sample in the text box provided for lot number.
警示用语：
Warning
危险声明
预防措施声明
危险分类
Met. Corr. 1
储存分类代码
8A - Combustible corrosive hazardous materials
闪点(°F)
Not applicable
闪点(°C)
Not applicable
法规信息
新产品
此项目有
Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) aggregation causes mitochondrial dysfunction during oxidative stress-induced cell death.
Nakajima H, et al.
The Journal of Biological Chemistry (2017)
A hydrocortisone derivative binds to GAPDH and reduces the toxicity of extracellular polyglutamine-containing aggregates.
Lazarev V F, et al.
Biochemical and Biophysical Research Communications, 487(3), 723-727 (2017)
Role of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) in DNA repair
Kosova A A, et al.
Biochemistry (Moscow), 82(6), 643-654 (2017)
Prediction of potential cancer-risk regions based on transcriptome data: towards a comprehensive view.
Alisoltani A, et al.
PLoS ONE, 9(5), e96320-e96320 (2014)
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