4.6 Article

Gradient-free determination of isoelectric points of proteins on chip

期刊

PHYSICAL CHEMISTRY CHEMICAL PHYSICS
卷 19, 期 34, 页码 23060-23067

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c7cp01503h

关键词

-

资金

  1. Biotechnology and Biological Sciences Research Council
  2. Newman Foundation
  3. Elan Pharmaceuticals
  4. European Research Council under the European Union [337969]
  5. BBSRC [BB/J002119/1] Funding Source: UKRI
  6. Biotechnology and Biological Sciences Research Council [BB/J002119/1, 1127850] Funding Source: researchfish
  7. Engineering and Physical Sciences Research Council [1510942] Funding Source: researchfish

向作者/读者索取更多资源

The isoelectric point (pI) of a protein is a key characteristic that influences its overall electrostatic behaviour. The majority of conventional methods for the determination of the isoelectric point of a molecule rely on the use of spatial gradients in pH, although significant practical challenges are associated with such techniques, notably the difficulty in generating a stable and well controlled pH gradient. Here, we introduce a gradient-free approach, exploiting a microfluidic platform which allows us to perform rapid pH change on chip and probe the electrophoretic mobility of species in a controlled field. In particular, in this approach, the pH of the electrolyte solution is modulated in time rather than in space, as in the case for conventional determinations of the isoelectric point. To demonstrate the general approachability of this platform, we have measured the isoelectric points of representative set of seven proteins, bovine serum albumin, beta-lactoglobulin, ribonuclease A, ovalbumin, human transferrin, ubiquitin and myoglobin in microlitre sample volumes. The ability to conduct measurements in free solution thus provides the basis for the rapid determination of isoelectric points of proteins under a wide variety of solution conditions and in small volumes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据