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Standardization of a sample preparation and analytical workflow for proteomics of archival endometrial cancer tissue

机译:存档子宫内膜癌组织蛋白质组学的样品制备和分析工作流程的标准化

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The goal of the present study was to establish a standard operating procedure for mass spectrometry (MS)-based proteomic analysis of laser microdissected (LMD) formalin-fixed, paraffin-embedded (FFPE) uterine tissue. High resolution bioimage analysis of a large endometrial cancer tissue microarray immunostained for the breast cancer type 1 susceptibility protein enabled precise counting of cells to establish that there is an average of 600 cellsL of endometrial cancer tissue. We sought to characterize the peptide recovery from various volumes of tissue gathered by LMD and processed/digested using the present methodology. We observed a nearly linear increase in peptide recovery amount with increasing tissue volume dissected. There was little discernible difference in the peptide recovery from stromal versus malignant epithelium, and there was no apparent difference in the day-to-day recovery. This methodology reproducibly results in 100 ng of digested peptides per nL of endometrial tissue, or ~25 pg peptides/endometrial cancer cell. Results from liquid chromatography (LC)-MS/MS experiments to assess the impact of total peptide load on column on the total number of peptides and proteins identified from FFPE tissue digests prepared with the present methodology indicate a demonstrable increase in the total number of peptides identified up to 1000 ng, beyond which diminishing returns were observed. Furthermore, we observed no impact on the peptide identification rates from analyses of equivalent peptide amounts derived from lower volume LMD samples. These results show that this single-tube collection-to-injection proteomics (CTIP) workflow represents a straightforward, scalable, and highly reliable methodology for sample preparation to enable high throughput LMD-MS analysis of tissues derived from biopsy or surgery.
机译:本研究的目的是建立基于质谱(MS)的激光显微解剖(LMD)福尔马林固定,石蜡包埋(FFPE)子宫组织的蛋白质组学分析的标准操作程序。大型子宫内膜癌组织微阵列对1型乳腺癌易感蛋白进行了免疫染色的高分辨率生物图像分析能够对细胞进行精确计数,从而确定子宫内膜癌组织平均有600个细胞/ nL。我们试图表征使用本方法从LMD收集并经过处理/消化的各种组织中回收肽的特性。我们观察到随着组织体积的增加,肽回收量几乎呈线性增加。从基质上皮和恶性上皮中回收的肽几乎没有可辨别的差异,并且在日常回收中没有明显的差异。这种方法可重复产生每nL子宫内膜组织100 ng的消化肽,或〜25 pg肽/子宫内膜癌细胞。液相色谱(LC)-MS / MS实验的结果(评估用本方法制备的FFPE组织消化液中鉴定的肽和蛋白质总数对柱上总肽负荷的影响)表明,肽总数明显增加鉴定出的最大浓度为1000 ng,超过此值则观察到递减的结果。此外,我们从分析来自较小体积LMD样品的等效肽量中未观察到对肽鉴定率的影响。这些结果表明,这种单管收集到注射蛋白质组学(CTIP)工作流程代表了一种简单,可扩展且高度可靠的样品制备方法,可实现对活检或手术组织的高通量LMD-MS分析。

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