Maximising bioproduction in CHO cell by interdisciplinary engineering and AI

虽然CHO细胞是生物生产中使用最多的细胞系之一(拥有1000亿GB的市场)，但目前商业上可获得的CHO细胞无法适应和恢复细胞平衡，导致应激诱导的细胞凋亡和不良的蛋白质修饰。此外，生物技术行业缺乏在小规模或大规模实验的生产过程中检查实际细胞活性的在线方法。这些痛点限制了基于CHO的重组蛋白生产的效率和产量，导致了制造过程中相当大的资源、时间和材料的浪费。GeneNet Technology与CPI(Centre For Process Innovation)以及台湾的Cytena BPS和Instant Nanobiensors合作，在这里设计了一种压力感应遗传电路和AI细胞，嵌入到当前的生物生产(孵化器)中进行实时测试。结合Cytena BPS下一代生物反应器的尖端技术，允许培养微调和实时收集培养和生理条件的数据，以及Instant NanoBiosors的光纤粒子等离子体共振技术检测生物标记物的表达，我们将在CHO细胞生物生产过程中收集全面的培养、生理和生物标记物数据。这些综合数据将被输入到GeneNet的突破性技术--人工神经网络(ANN)遗传电路中。人工神经网络遗传电路是合成生物学和基因工程领域的前沿技术。在过去的十年里，合成遗传电路只将简单的逻辑(与/或/非)门应用于生物计算。GeneNet的突破性技术使遗传电路类似于深度学习计算机，将CHO细胞变成更智能的人工智能计算机。所有这些都将使我们能够设计智能的压力感应CHO细胞，以最大限度地提高蛋白质生产效率和产量，使我们的下游客户以及更广泛的行业和社会整体受益。

Although CHO cells are one of the most highly employed cell lines in bioproduction (with \>£100 Billion market), current commercially available CHO cells inability to adapt and restore cell balance leads to stress-induced apoptosis and undesirable protein modifications. Further, the biotechnology industry lacks in-line methods to examine the actual cell viability during production in small or large-scale experiments. These pain points limit CHO-based recombinant protein production's efficiency and yield, leading to a considerable waste of resources, time and materials in manufacturing.GeneNet Technology, in collaboration with CPI (Centre for Process Innovation) and Taiwan based Cytena BPS and Instant NanoBiosensor, is here to engineer a stress sensing genetic circuit and AI cell embedded to current bioproduction (incubator) in real-time testing method. Combining cutting edge technology from Cytena BPS' next-generation bioreactor, which allows culture fine-tuning and real-time data collection from culturing and physiological conditions, and Instant NanoBiosensors' Fiber Optic Particle Plasmon Resonance technology which detects biomarker expression, we will gather comprehensive culturing, physiological and biomarker data during CHO cell bioproduction. This comprehensive data will be fed into GeneNet's ground-breaking technology, Artificial neural network (ANN) genetic circuits. ANN genetic circuits are the cutting-edge technology in synthetic biology and genetic engineering. In the past decade, synthetic genetic circuits only apply simple logic (AND/OR/NOT) gates to biocomputing. GeneNet's ground-breaking technology makes genetic circuits analogous to deep learning computers, turning CHO cells into smarter AI computers. All this will enable us to engineer smart, stress-sensing CHO cells to maximise protein production efficiency and yield, benefiting our downstream clients and wider industry and society as a whole.