首页> 外文期刊>Journal of biomolecular techniques :JBT. >Robust, Quantitative, Label-free Phosphoproteomics Platform: Automated Enrichment and 2D-LC/MS/MS
【24h】

Robust, Quantitative, Label-free Phosphoproteomics Platform: Automated Enrichment and 2D-LC/MS/MS

机译:健壮,定量,无标签的磷酸蛋白质组学平台:自动富集和2D-LC / MS / MS

获取原文
           

摘要

Traditionally, quantitative phosphoproteomics strategies were limited to the use of stable-isotope labeled cell cultures, which is still the most commonly used sample type. Recent developments have been made using label-free techniques which make the analysis applicable to biological fluids and tissues, matrices which are not amenable to SILAC-based approaches. Here we describe an automated capillary-based enrichment strategy that achieves the robust quantitative reproducibility essential for the success of label-free workflows. For the phosphopeptide enrichment column, a fused-silica capillary was packed with titania particles to the appropriate dimension for the quantity of digested protein to be enriched. The column was placed in-line with a Waters CapLC pump, autosampler, and UV detector. Enrichment of phosphopeptides was performed through a series of injections of sample, wash buffer, and elution buffer. Quantitative reproducibility of the procedure was determined using area-under-the-curve measurements after accurate mass/retention time alignment and robust mean normalization of identified phosphopeptides from four replicate enrichments analyzed by LC/MS/MS on a Waters Synapt G1. The average CV of the 516 identified phosphopeptides was 8.7%, with an enrichment specificity of ~80%. In addition to the enrichment, the described platform also includes improvements to the LC/MS/MS analysis of enriched samples. This strategy employs the high/low pH separation of phosphopeptides that has been recently used to increase the coverage of un-enriched samples in a reasonable time frame. By adjusting the fractionation to compensate for the more acidic nature of phosphopeptides, a 3-fraction 2DLC/MS/MS method using a Waters nanoAcquity coupled to a Synapt G2 was implemented to increase the coverage of an enriched rat brain lysate from 472 to 932 over a single dimension analysis while only increasing the total analysis time by 70%. Additionally, 97% of phosphopeptides were identified in a single 2D fraction. Articles from Journal of Biomolecular Techniques : JBT are provided here courtesy of The Association of Biomolecular Resource Facilities.
机译:传统上,定量蛋白质组学策略仅限于使用稳定同位素标记的细胞培养物,后者仍然是最常用的样品类型。使用无标记技术已取得了最新进展,该技术使分析适用于生物流体和组织,不适用于基于SILAC的方法的基质。在这里,我们描述了一种基于毛细管的自动化富集策略,该策略实现了无标签工作流程成功所必需的强大的定量重现性。对于磷酸肽富集柱,在熔融石英毛细管中填充二氧化钛颗粒,使其尺寸适合要富集的消化蛋白质的量。将色谱柱与Waters CapLC泵,自动进样器和UV检测器串联放置。通过一系列样品,洗涤缓冲液和洗脱缓冲液的注射进行磷酸肽的富集。在准确的质量/保留时间比对和在Waters Synapt G1上通过LC / MS / MS分析的四个重复富集物中鉴定出的磷酸肽的可靠平均归一化之后,使用曲线下面积测量确定该程序的定量重现性。鉴定出的516种磷酸肽的平均CV为8.7%,富集特异性为〜80%。除了富集,所描述的平台还包括对富集样品的LC / MS / MS分析的改进。该策略采用了磷酸肽的高/低pH分离技术,该技术最近已用于在合理的时间范围内增加未富集样品的覆盖范围。通过调节分馏以补偿磷酸肽的更酸性性质,实施了使用结合了Synapt G2的Waters nanoAcquity的3-馏分2DLC / MS / MS方法,将富集的大鼠脑裂解液的覆盖范围从472增加到932。一维分析,而总分析时间仅增加70%。另外,在单个2D馏分中鉴定出97%的磷酸肽。这里由生物分子资源设施协会提供了《生物分子技术杂志》上的文章:JBT。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号