The anatomy of many neural circuits is being characterized with increasing resolution, but their molecular properties remain mostly unknown. Here, we characterize gene expression patterns in distinct neural cell types of the Drosophila visual system using genetic lines to access individual cell types, the TAPIN-seq method to measure their transcriptomes, and a probabilistic method to interpret these measurements. We used these tools to build a resource of high-resolution transcriptomes for 100 driver lines covering 67 cell types, available at http://www.opticlobe.com. Combining these transcriptomes with recently reported connectomes helps characterize how information is transmitted and processed across a range of scales, from individual synapses to circuit pathways. We describe examples that include identifying neurotransmitters, including cases of apparent co-release, generating functional hypotheses based on receptor expression, as well as identifying strong commonalities between different cell types.

中文翻译：

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探索神经回路功能的遗传，基因组和计算资源

许多神经回路的解剖学都以增加的分辨率为特征，但它们的分子性质仍然未知。在这里，我们表征果蝇的不同神经细胞类型中的基因表达模式使用遗传系访问单个细胞类型的视觉系统，测量其转录组的TAPIN-seq方法以及解释这些测量值的概率方法。我们使用这些工具为涵盖67种细胞类型的100条驱动程序系建立了高分辨率转录组资源，可从http://www.opticlobe.com获得。将这些转录组与最近报道的连接组结合起来，有助于表征如何从各个突触到电路通路，在各种尺度上传输和处理信息。我们描述的示例包括识别神经递质（包括明显的共释放病例），基于受体表达产生功能假设以及识别不同细胞类型之间的强共性。