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Can I read Quantitative Protein Microarrays for Time‐resolved Measurements of Protein Phosphorylation on EtoBox?
Quantitative Protein Microarrays for Time‐resolved Measurements of Protein Phosphorylation by Ulrike Korf; Sophia Derdak; Achim Tresch; Frauke Henjes; Sabrina Schumacher; Christian Schmidt; Bettina Hahn; Wolf D. Lehmann; Annemarie Poustka; Tim Beissbarth; Ursula Klingmüller is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Quantitative Protein Microarrays for Time‐resolved Measurements of Protein Phosphorylation about?
## Abstract The quantitative analysis of signaling networks requires highly sensitive methods for the time‐resolved determination of protein phosphorylation. For this reason, we developed a quantitative protein microarray that monitors the activation of multiple signaling pathways in parallel, and at high temporal resolution. A label‐free sandwich approach was combined with near infrared detection, thus permitting the accurate quantification of low‐level phosphoproteins in limited biological samples corresponding to less than 50 000 cells, and with a very low standard deviation of approximately 5%. The identification of suitable antibody pairs was facilitated by determining their accuracy and dynamic range using our customized software package __Quantpro__. Thus, we are providing an important tool to generate quantitative data for systems biology approaches, and to drive innovative diagnostic applications.
Who reads Quantitative Protein Microarrays for Time‐resolved Measurements of Protein Phosphorylation?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Ulrike Korf; Sophia Derdak; Achim Tresch; Frauke Henjes; Sabrina Schumacher; Christian Schmidt; Bettina Hahn; Wolf D. Lehmann; Annemarie Poustka; Tim Beissbarth; Ursula Klingmüller
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Ltd.; Wiley; Research Square (ISSN 1615-9853)
- Published
- 2008
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)