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Adapting the Stretched Sample Method from Tissue Profiling to Imaging

机译:使拉伸样本方法从组织分析变为成像

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摘要

The characterization and localization of peptides and proteins in tissues provides information that aids in understanding function and in characterizing disease states. Over the past decades, the use of mass spectrometry for the profiling and imaging of biological compounds from tissues has evolved into a powerful modality to accomplish these studies. One recently described sampling approach, the stretched sample method (Anal. Chem. 2006, 78, 6826), places a tissue section onto an array of glass beads embedded on a Parafilm M membrane. When the membrane is stretched, it separates the tissue section into thousands of cell-sized pieces for tissue profiling by MALDI MS. The physical separation between beads eliminates analyte redistribution during matrix application and allows long analyte extraction periods without loss of spatial resolution. Here we enhance this sampling approach by introducing algorithms that enable the reconstruction of ion images from these stretched samples. As the first step, a sample-tailored data acquisition method is devised to obtain mass spectra exclusively from the beads, thereby reducing the time, instrument resources, and data handling required for such MS imaging experiments. Next, an image reconstruction algorithm matches data acquired from the stretched sample to the initial bead locations. The efficacy of this method is demonstrated using peptide-coated beads with known peptide distributions and appears well-suited to the MS imaging of heterogeneous tissue samples.
机译:肽和蛋白质在组织中的表征和定位提供了有助于理解功能和表征疾病状态的信息。在过去的几十年中,使用质谱对组织中的生物化合物进行轮廓分析和成像已发展成为完成这些研究的强大方法。最近描述的一种采样方法是拉伸采样方法(Anal。Chem。2006,78,6826),将组织切片置于嵌入Parafilm M膜的一系列玻璃珠上。当膜被拉伸时,它将组织切片分成成千个细胞大小的片,用于通过MALDI MS进行组织分析。珠粒之间的物理分离消除了基质应用过程中分析物的重新分布,并允许较长的分析物提取时间而不会损失空间分辨率。在这里,我们通过引入可从这些拉伸样品中重建离子图像的算法来增强这种采样方法。第一步,设计了一种针对样品的数据采集方法,专门从微珠中获得质谱图,从而减少了此类MS成像实验所需的时间,仪器资源和数据处理。接下来,图像重建算法将从拉伸样本中获取的数据与初始磁珠位置进行匹配。使用具有已知肽分布的肽包被的珠子证明了该方法的有效性,并且看起来非常适合异质组织样品的MS成像。

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