Molecular genetics of neuronal recognition in Drosophila: evolution and function of immunoglobulin superfamily cell adhesion molecules.
Molecular genetics of neuronal recognition in Drosophila: evolution and function of immunoglobulin superfamily cell adhesion molecules.
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果蝇神经元识别的分子遗传学：免疫球蛋白超家族细胞粘附分子的进化和功能。
DOI：
10.1101/sqb.1990.055.01.034
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发表时间：
1990
期刊：
影响因子：
--
通讯作者：
Goodman,CS
中科院分区：
文献类型：
--
作者：
Grenningloh,G;Bieber,AJ;Rehm,EJ;Snow,PM;Traquina,ZR;Hortsch,M;Patel,NH;Goodman,CS
神经元识别的一种形式是神经元生长锥在其识别和沿着特定轴突表面延伸的能力中表现出的显著选择性，这一过程被称为选择性束化。在1983年的冷泉港分子神经生物学研讨会上，Raper, Bastiani, and Goodman （1983c）在对蚱蜢选择性束动机制进行了一系列描述性和实验性研究的基础上提出(Raper et al. 1983 a, b, 1984；Bastiani et al. 1984)认为相邻的轴突通路必须被表面识别分子区别标记，这使得生长锥能够区分它们——他们称之为标记通路假说。我们实验室随后对蚱蜢（Bastiani et al. 1986; Doe et al. 1986; du Lac et al. 1986）和一种简单脊椎动物（鱼的脊髓；见Kuwada 1986）进行的细胞分析进一步支持了这一假设。大约在同一时间，我们的实验室与剑桥大学的Michael Bate合作进行的其他研究表明，从大蚱蜢胚胎（具有高度可识别的神经元）中学到的知识可以直接应用于具有强大遗传学的小得多的果蝇（Thomas et al. 1984），从而打开了对这个问题进行细胞、经典遗传学和分子遗传学综合分析的大门（参见，例如，Goodman et al. 1984）。几年前，为了鉴定对发育中的神经系统具有特异性的分子，我们的实验室开始进行一系列单克隆抗体筛选，以鉴定昆虫胚胎中轴突通路亚群发育过程中差异表达的表面糖蛋白（Bastiani et al. 1987; Patel et al. 1987; Bieber et al. 1989）。这项工作的长期目标是识别和描述果蝇中编码这些神经元识别分子的基因，识别这些基因中的突变，并将这些突变作为神经元识别详细遗传分析的起点。我们最初鉴定并随后克隆了编码四种不同表面糖蛋白的基因，这些糖蛋白在不同的重叠上动态表达
One form of neuronal recognition is the remarkable selectivity shown by neuronal growth cones in their ability to recognize and extend along specific axonal surfaces, a process called selective fasciculation. At the Cold Spring Harbor Symposium on Molecular Neurobiology in 1983, Raper, Bastiani, and Goodman (1983c) proposed on the basis of a long series of descriptive and experimental studies on the mechanisms of selective fasciculation in the grasshopper (Raper et al. 1983 a, b, 1984; Bastiani et al. 1984) that neighboring axon pathways must be differentially labeled by surface recognition molecules, which allow growth cones to distinguish among them--a notion they called the labeled pathways hypothesis. Subsequent cellular analysis from our laboratory in both the grasshopper (Bastiani et al. 1986; Doe et al. 1986; du Lac et al. 1986) and a simple vertebrate (the fish spinal cord; see Kuwada 1986) further supported this hypothesis. At about the same time, other studies from our laboratory, in collaboration with Michael Bate at Cambridge, showed that what had been learned from the large grasshopper embryo with its highly accessible identified neurons could be directly applied to the much smaller fruitfly, Drosophila, with its powerful genetics (Thomas et al. 1984), thus opening the door to a combined cellular, classical genetic, and molecular genetic analyses of this problem (see, eg, Goodman et al. 1984). Several years ago, in an attempt to identify molecules that impart specificity on the developing nervous system, our laboratory began a series of monoclonal antibody screens to identify surface glycoproteins that are differentially expressed during development on subsets of axon pathways in the insect embryo (Bastiani et al. 1987; Patel et al. 1987; Bieber et al. 1989). The longterm goal of this work was to identify and characterize the genes encoding these neuronal recognition molecules in Drosophila, to identify mutations in these genes, and to use these mutations as the starting point for a detailed genetic analysis of neuronal recognition. We initially identified and subsequently cloned the genes encoding four different surface glycoproteins that are dynamically expressed on different overlapping