Ehrlich Samuel, VandeLoo Alexandra D, Badawy Mohamed, Gonzalez Mercedes M, Stockslager Max, Yang Aimei, Sinha Sapna, Bracha Shahar, Park Demian, Magondu Benjamin, Yang Bo, Boyden Edward S, Forest Craig R
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States.
School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States.
bioRxiv. 2025 Aug 24:2025.08.19.671087. doi: 10.1101/2025.08.19.671087.
Our ability to engineer opsins is limited by an incomplete understanding of how sequence variations influence function. The vastness of opsin sequence space makes systematic exploration difficult.
In recognition of the need for datasets linking opsin genetic sequence to function, we pursued a novel method for screening channel-rhodopsins to obtain these datasets. In this method, we integrate advances in robotic intracellular electrophysiology (Patch) to measure optogenetic properties (Excite), harvest individual cells of interest (Pick) and subsequently sequence them (Sequence), thus tying sequence to function.
We used this method to sequence more than 50 cells with associated functional characterization. We further demonstrate the utility of this method with experiments on heterogeneous populations of known opsins and single point mutations of a known opsin. Of these point mutations, we found C160W ablates ChrimsonR's response to light.
Compared to traditional manual patch clamp screening, which is labor-intensive and low-throughput, this approach enables more efficient, standardized, and scalable characterization of large opsin libraries. This method can enable opsin engineering with large datasets to increase our understanding of opsin sequence-function relationships.
我们对视蛋白进行工程改造的能力受到对序列变异如何影响功能的不完全理解的限制。视蛋白序列空间的巨大性使得系统探索变得困难。
认识到需要将视蛋白基因序列与功能联系起来的数据集,我们采用了一种筛选通道视紫红质的新方法来获取这些数据集。在这种方法中,我们整合了机器人细胞内电生理学(膜片钳)的进展来测量光遗传学特性(激发),收获感兴趣的单个细胞(挑选)并随后对其进行测序(测序),从而将序列与功能联系起来。
我们使用这种方法对50多个细胞进行了测序,并进行了相关的功能表征。我们通过对已知视蛋白的异质群体和已知视蛋白的单点突变进行实验,进一步证明了这种方法的实用性。在这些点突变中,我们发现C160W消除了深红视紫红质(ChrimsonR)对光的反应。
与传统的手动膜片钳筛选相比,传统方法劳动强度大且通量低,这种方法能够更高效、标准化和可扩展地表征大型视蛋白文库。这种方法可以利用大型数据集进行视蛋白工程,以增进我们对视蛋白序列-功能关系的理解。