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Quantitative dot blot analysis (QDB), a versatile high throughput immunoblot method.


ABSTRACT: Lacking access to an affordable method of high throughput immunoblot analysis for daily use remains a big challenge for scientists worldwide. We proposed here Quantitative Dot Blot analysis (QDB) to meet this demand. With the defined linear range, QDB analysis fundamentally transforms traditional immunoblot method into a true quantitative assay. Its convenience in analyzing large number of samples also enables bench scientists to examine protein expression levels from multiple parameters. In addition, the small amount of sample lysates needed for analysis means significant saving in research sources and efforts. This method was evaluated at both cellular and tissue levels with unexpected observations otherwise would be hard to achieve using conventional immunoblot methods like Western blot analysis. Using QDB technique, we were able to observed an age-dependent significant alteration of CAPG protein expression level in TRAMP mice. We believe that the adoption of QDB analysis would have immediate impact on biological and biomedical research to provide much needed high-throughput information at protein level in this "Big Data" era.

SUBMITTER: Tian G 

PROVIDER: S-EPMC5601674 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Quantitative dot blot analysis (QDB), a versatile high throughput immunoblot method.

Tian Geng G   Tang Fangrong F   Yang Chunhua C   Zhang Wenfeng W   Bergquist Jonas J   Wang Bin B   Mi Jia J   Zhang Jiandi J  

Oncotarget 20170419 35


Lacking access to an affordable method of high throughput immunoblot analysis for daily use remains a big challenge for scientists worldwide. We proposed here Quantitative Dot Blot analysis (QDB) to meet this demand. With the defined linear range, QDB analysis fundamentally transforms traditional immunoblot method into a true quantitative assay. Its convenience in analyzing large number of samples also enables bench scientists to examine protein expression levels from multiple parameters. In add  ...[more]

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