Evaluation of the variation in sample preparation for comparative proteomics using stable isotope labeling by amino acids in cell culture.
نویسندگان
چکیده
In comparative proteomic studies, it is important to know the variability associated with sample preparation. In this study, we report the strategy of using SILAC (stable isotope labeling by amino acids in cell culture) to evaluate the effect of the variation in sample preparation for quantitative proteomics. Variability can be measured when equal amounts of light and heavy SILAC samples undergo the same sample preparation procedures in parallel, and the two samples are mixed for relative protein quantitation by mass spectrometry. The high quantitative accuracy of SILAC allows for characterization of small variations. First, the reproducibility of immunoprecipitation (IP) and in-gel digestion was evaluated, and the impact of replicate number on quantitative accuracy was characterized. Second, we evaluated the overall variation in a comparative workflow involving three sequential sample preparation steps: IP, SDS-PAGE fractionation, and in-gel digestion. The evaluation of individual sample preparation steps was very valuable for experimental design: the optimal number of replicates for each step could be readily determined and the overall variation of the workflow could be predicted from the variation of the individual steps involved. By using informed experimental design, we demonstrated that the error associated with multiple steps of sample preparation in a comparative experiment can be limited to a reasonably low level.
منابع مشابه
Quantitative cancer proteomics: stable isotope labeling with amino acids in cell culture (SILAC) as a tool for prostate cancer research.
Microarrays have been the primary means for large-scale analyses of genes implicated in cancer progression. However, more recently a need has been recognized for investigating cancer development directly at the protein level. In this report, we have applied a comparative proteomic technique to the study of metastatic prostate cancer. This technology, termed stable isotope labeling with amino ac...
متن کاملStable isotope labeling of Arabidopsis thaliana cells and quantitative proteomics by mass spectrometry.
Quantitative analysis of protein expression is an important tool for the examination of complex biological systems. Albeit its importance, quantitative proteomics is still a challenging task because of the high dynamic range of protein amounts in the cell and the variation in the physical properties of proteins. Stable isotope labeling by amino acids in cell culture (SILAC) has been successfull...
متن کاملComparing SILAC- and Stable Isotope Dimethyl-Labeling Approaches for Quantitative Proteomics
Stable isotope labeling is widely used to encode and quantify proteins in mass-spectrometry-based proteomics. We compared metabolic labeling with stable isotope labeling by amino acids in cell culture (SILAC) and chemical labeling by stable isotope dimethyl labeling and find that they have comparable accuracy and quantitative dynamic range in unfractionated proteome analyses and affinity pull-d...
متن کاملStable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.
Quantitative proteomics has traditionally been performed by two-dimensional gel electrophoresis, but recently, mass spectrometric methods based on stable isotope quantitation have shown great promise for the simultaneous and automated identification and quantitation of complex protein mixtures. Here we describe a method, termed SILAC, for stable isotope labeling by amino acids in cell culture, ...
متن کاملRare cell proteomic reactor applied to stable isotope labeling by amino acids in cell culture (SILAC)-based quantitative proteomics study of human embryonic stem cell differentiation.
The molecular basis governing the differentiation of human embryonic stem cells (hESCs) remains largely unknown. Systems-level analysis by proteomics provides a unique approach to tackle this question. However, the requirement of a large number of cells for proteomics analysis (i.e. 10(6)-10(7) cells) makes this assay challenging, especially for the study of rare events during hESCs lineage spe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Journal of proteome research
دوره 8 3 شماره
صفحات -
تاریخ انتشار 2009