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Proteomic identification of unique photoreceptor disc components reveals the presence of PRCD a protein linked to retinal degeneration

机译:蛋白质组学鉴定独特的感光盘成分揭示了PRCD(一种与视网膜变性有关的蛋白)的存在

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摘要

Visual signal transduction takes place on the surface of flat membrane vesicles called photoreceptor discs, which reside inside the light-sensitive outer segment organelle of vertebrate photoreceptor cells. While biochemical studies have indicated that discs are built with a handful of highly specialized proteins, proteomic studies have yielded databases consisting of hundreds of entries. We addressed this controversy by employing protein correlation profiling which allows identification of unique components of organelles that can be fractionated but not purified to absolute homogeneity. We subjected discs to sequential steps of fractionation and identified the relative amounts of proteins in each fraction by label-free quantitative mass spectrometry. This analysis demonstrated that the photoreceptor disc proteome contains only eleven components, which satisfy the hallmark criterion for being unique disc-resident components: the retention of a constant molar ratio among themselves across fractionation steps. Remarkably, one of them is PRCD, a protein whose mutations have been shown to cause blindness, yet cellular localization remained completely unknown. Identification of PRCD as a novel disc-specific protein facilitates understanding its functional role and the pathobiological significance of its mutations. Our study provides a striking example how protein correlation profiling allows a distinction between constitutive components of cellular organelles and their inevitable contaminants.
机译:视觉信号转导发生在称为感光盘的扁平膜囊泡表面,该膜囊位于脊椎动物感光细胞的感光外部节细胞器内部。生化研究表明,光盘是由少数高度专业化的蛋白质构建而成的,而蛋白质组学研究则产生了包含数百个条目的数据库。我们通过使用蛋白质相关谱分析解决了这一争议,该蛋白相关谱分析可以鉴定细胞器的独特成分,这些成分可以分离但不能纯化为绝对同质。我们对圆盘进行了分级分离的连续步骤,并通过无标记定量质谱法鉴定了每个级分中蛋白质的相对含量。该分析表明,感光盘蛋白质组仅包含11个组分,满足唯一的盘驻留组分的标志标准:在分馏步骤之间彼此之间保持恒定的摩尔比。值得注意的是,其中之一是PRCD,一种蛋白质,其突变已显示出引起失明,但细胞定位仍然完全未知。将PRCD鉴定为一种新型的盘特异性蛋白有助于了解其功能作用及其突变的病理生物学意义。我们的研究提供了一个引人注目的例子,即蛋白质相关性分析如何区分细胞器的组成成分和不可避免的污染物。

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