Albert Eye Research Institute, 2310 Erwin Road, Durham NC 27710, USA.
Mol Cell Proteomics. 2011 Mar;10(3):M110.002469. doi: 10.1074/mcp.M110.002469. Epub 2010 Dec 20.
The retina is a highly ordered tissue whose outermost layers are formed by subcellular compartments of photoreceptors generating light-evoked electrical responses. We studied protein distributions among individual photoreceptor compartments by separating the entire photoreceptor layer of a flat-mounted frozen retina into a series of thin tangential cryosections and analyzing protein compositions of each section by label-free quantitative mass spectrometry. Based on 5038 confidently identified peptides assigned to 896 protein database entries, we generated a quantitative proteomic database (a "map") correlating the distribution profiles of identified proteins with the profiles of marker proteins representing individual compartments of photoreceptors and adjacent cells. We evaluated the applicability of several common peptide-to-protein quantification algorithms in the context of our database and found that the highest reliability was obtained by summing the intensities of all peptides representing a given protein, using at least the 5-6 most intense peptides when applicable. We used this proteome map to investigate the distribution of glycolytic enzymes, critical in fulfilling the extremely high metabolic demands of photoreceptor cells, and obtained two major findings. First, unlike the majority of neurons rich in hexokinase I, but similar to other highly metabolically active cells, photoreceptors express hexokinase II. Hexokinase II has a very high catalytic activity when associated with mitochondria, and indeed we found it colocalized with mitochondria in photoreceptors. Second, photoreceptors contain very little triosephosphate isomerase, an enzyme converting dihydroxyacetone phosphate into glyceraldehyde-3-phosphate. This may serve as a functional adaptation because dihydroxyacetone phosphate is a major precursor in phospholipid biosynthesis, a process particularly active in photoreceptors because of the constant renewal of their light-sensitive membrane disc stacks. Overall, our approach for proteomic profiling of very small tissue amounts at a resolution of a few microns, combining cryosectioning and liquid chromatography-tandem MS, can be applied for quantitative investigation of proteomes where spatial resolution is paramount.
视网膜是一种高度有序的组织,其最外层由光感受器的亚细胞隔室形成,产生光诱发的电响应。我们通过将冷冻视网膜的整个光感受器层分离成一系列薄的切线冷冻切片,并用无标记定量质谱分析每个切片的蛋白质组成,来研究单个光感受器隔室中的蛋白质分布。基于 5038 个可置信鉴定的肽段,分配给 896 个蛋白质数据库条目,我们生成了一个定量蛋白质组学数据库(“图谱”),将鉴定的蛋白质的分布图谱与代表光感受器和相邻细胞各个隔室的标记蛋白的分布图谱相关联。我们评估了几种常见肽段到蛋白质定量算法在我们的数据库中的适用性,并发现通过将代表给定蛋白质的所有肽段的强度相加(在适用的情况下,至少使用 5-6 个最强的肽段),可以获得最高的可靠性。我们使用这个蛋白质组图谱来研究糖酵解酶的分布,糖酵解酶在满足光感受器细胞极高的代谢需求方面至关重要,得到了两个主要发现。首先,与富含己糖激酶 I 的大多数神经元不同,但与其他高度代谢活跃的细胞相似,光感受器表达己糖激酶 II。己糖激酶 II 与线粒体结合时具有非常高的催化活性,事实上,我们发现它与光感受器中的线粒体共定位。其次,光感受器中含有很少的磷酸丙糖异构酶,该酶将二羟丙酮磷酸转化为甘油醛-3-磷酸。这可能是一种功能适应,因为二羟丙酮磷酸是磷脂生物合成的主要前体,由于光敏感膜盘堆叠的不断更新,这个过程在光感受器中特别活跃。总的来说,我们的方法可以应用于非常小的组织量的蛋白质组学分析,分辨率为几微米,结合冷冻切片和液相色谱-串联质谱,用于需要空间分辨率的蛋白质组的定量研究。