在神經科學研究中，將個別的神經細胞結構明確的看清楚是研究生物體的行為以及神經網路之基礎的目標原則。在果蠅的生物系統中已經發展出非常多強而有力的基因轉殖工具，提供我們研究神經調控的知識。由啟動子Gal4啟動的上游活化續列UAS雙向系統在果蠅的基因轉殖的調控研究當中，是使用最廣泛的工具，但是通常以Gal4起始表現神經圖譜的訊號當中，由於過多的表達而導致我們很難有良好的限制表達訊號並且有太多的重疊，很難將個別的神經分別清楚來達成我們標定單一神經網路圖譜的首要目標。在這篇研究之中，我們使用”果蠅彩虹腦”和”彩虹腦”這些多種不同色彩的螢光標定技術，藉由Gal4/UAS系統的控制，使多種螢光蛋白隨機組合，表達在不同的單一細胞中，並且測試不同的熱休克時間之長短、次數及時間，找出最合適的熱休克條件來滿足我們的目標，也就是利用果蠅彩虹腦的技術賦予不同的單一細胞不同種螢光蛋白表達，借此區分複雜的果蠅腦神經網路圖譜中我們所需的標的神經細胞，並且比較這兩種基因工具的優缺點。我們之後的研究目標是利用這個更為快速方便的新技術來建構整隻果蠅的神經網路圖譜。

Clearly visualize individual neural structures is a basic principal goal for studying behaviors and underlying neural circuits of living creature in neuroscience. In Drosophila, there have been developed many powerful genetic tool for neural manipulation. Gal4-upstream activating sequence (UAS) system is the most widely used, but Gal4-driver expression patterns are often too widespread and overlap that rarely restrictive enough to map neural circuits. In this study, we use the multicolor fluorescence labeling technique called “Flybow” and “Brainbow” to create a stochastic expression of distinctive fluorescence proteins under Gal4/UAS binary system control. We tested different heat shock conditions to fulfill the most suitable circumstance for distinguish target neurons in the sophisticated Drosophila brain by expressing unequal XFPs, and compare these two genetic tools about their advantages and disadvantages. Our final goal is to achieve the faster neural circuitry map of brainwide connections in Drosophila.

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