Brunoro Giselle Villa Flor, Carvalho Paulo Costa, Ferreira André Teixeira da Silva, Perales Jonas, Valente Richard Hemmi, de Moura Gallo Claudia Vitória, Pagnoncelli Dante, Neves-Ferreira Ana Gisele da Costa
Laboratory of Toxinology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil.
Laboratory for Proteomics and Protein Engineering, Carlos Chagas Institute, Fiocruz, Paraná, Brazil.
J Proteomics. 2015 Mar 18;117:86-94. doi: 10.1016/j.jprot.2015.01.011. Epub 2015 Jan 29.
NAF is a breast fluid that is closely related to the tumor microenvironment and a valuable sample for studying breast cancer. To perform an in-depth proteomic analysis of this sample, aliquots of a single NAF digest were analyzed by the following peptide-centric fractionation strategies: a) 30-cm reversed-phase (RP) column on-line with an LTQ-Orbitrap XL; b) off-line strong cation-exchange (SCX) column; and c) pI-based OFFGEL fractionation. All fractions from approaches (b) and (c) were further analyzed on a 10-cm RP column hyphenated to the same mass spectrometer. The RP-30cm, SCX/RP-10cm, and OFFGEL/RP-10cm approaches identified 1676, 2930, and 3240 peptides, which corresponded to 193, 390 and 528 proteins, respectively. In our cumulative dataset, 4466 distinct NAF peptides corresponded to a total of 557 proteins, of which only 34% were identified by all three approaches. No exclusive protein identification was associated to the RP-30cm approach, while SCX/RP-10cm and OFFGEL/RP-10cm contributed to 28 and 166 exclusive identifications, respectively. Each approach provided additional information related to energy metabolism (fermentation process/carbohydrate biosynthesis). In conclusion, the pre-fractionation platforms used were complementary for the comprehensive characterization of NAF and our work provides methodological information for future quantitative cancer-related NAF sample studies.
High-resolution peptide separation is a sine qua non condition for achieving extensive proteome coverage. Various techniques have been employed to improve peptide fractionation prior to LC-MS/MS, thus allowing a comprehensive characterization of complex biological samples. Although fractionation efficiency is very sample-dependent, this issue is commonly overlooked, and a "cookbook" approach is routinely used during this critical step. The present study provides a systematic comparison of analytical information needed for the successful large-scale differential proteomic analysis of NAF samples from breast cancer patients, a precious and volume-limited biological sample. It reinforces the importance of optimizing sample-specific fractionation protocols for information retrieval from mass spectrometric analysis.
NAF是一种与肿瘤微环境密切相关的乳腺液,是研究乳腺癌的宝贵样本。为了对该样本进行深入的蛋白质组学分析,通过以下以肽为中心的分级分离策略对单个NAF消化物的等分试样进行分析:a)与LTQ-Orbitrap XL联机的30厘米反相(RP)柱;b)离线强阳离子交换(SCX)柱;c)基于pI的OFFGEL分级分离。方法(b)和(c)的所有级分在连接到同一质谱仪的10厘米RP柱上进一步分析。RP-30cm、SCX/RP-10cm和OFFGEL/RP-10cm方法分别鉴定出1676、2930和3240个肽段,分别对应193、390和528种蛋白质。在我们的累积数据集中,4466个不同的NAF肽段对应总共557种蛋白质,其中只有34%通过所有三种方法鉴定出来。没有唯一的蛋白质鉴定与RP-30cm方法相关,而SCX/RP-10cm和OFFGEL/RP-10cm分别贡献了28个和166个唯一鉴定。每种方法都提供了与能量代谢(发酵过程/碳水化合物生物合成)相关的额外信息。总之,所使用的预分级分离平台对于NAF的全面表征具有互补性,我们的工作为未来与癌症相关的NAF定量样本研究提供了方法学信息。
高分辨率肽分离是实现广泛蛋白质组覆盖的必要条件。在LC-MS/MS之前,已采用各种技术来改善肽分级分离,从而能够对复杂生物样本进行全面表征。尽管分级分离效率非常依赖于样本,但这个问题通常被忽视,并且在这个关键步骤中通常采用“照本宣科”的方法。本研究对来自乳腺癌患者的珍贵且量有限的生物样本NAF样本进行成功的大规模差异蛋白质组分析所需的分析信息进行了系统比较。它强化了优化样本特异性分级分离方案以从质谱分析中检索信息的重要性。