Relevance of Single Cell and Single Molecule Studies at Different Biological and Physical Length Scales

Wenfa Ng
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Abstract

Scale transcends multiple levels of biological and physical organization, and is the critical factor that determines success of any scientific investigation. Specifically, the scale at which a question is posed plays a crucial role in influencing the type of experiments and apparatuses needed. Single cell and single molecule experiments came to the fore of experiment science due to its capability at addressing a fundamental problem in biology and physical science: does the same behavior in cells and molecules transcend different length and population scales? Thus far, single cell experiments could be achieved with trapping of single cell using optical tweezer traps and microfluidic channels. The same, however, is not true for single molecule studies, which remains in the realm of theoretical and simulation studies. Specifically, single molecule experiment remains at the hundreds to thousands of molecules level, where possible skew in the population of molecules sampled could provide a false depiction of molecular reality of a larger population. But, what do scientists learn from single cell and single molecule studies? Is it the uncovering of mysteries of the probabilistic behavior at the single entity level, guided by perhaps quantum mechanics? The answer is no for single cell studies, given that cellular decision making require the input of tens to hundreds of molecular sensors and effectors within a cell. Hence, single cell behavior is not random, but directed at a nutrient or concentration gradient or signaling source. On the other hand, enzymatic catalysis of a single molecule substrate with the active site involves a quantum mechanical crosstalk. Thus, reaction between the substrate molecule and the active site proceeds if suitable energy levels (i.e., quantum mechanical states) are found for both parties. Given that distribution of quantum mechanical states is probabilistic, stochasticity rules single molecule interaction such as a covalent bond formation reaction between reactant A and B. Thus, single cell and single molecule studies do hold relevance in biological and physical sciences research if the correct experiment tool is used for a pertinent question at an appropriate length and population scale. For example, while tremendous amount of basic understanding could be derived from single cell experiments, single cell perspective is not relevant to questions examining the interactions between two large subpopulations of cells. Single molecule experiments, on the other hand, remains in the theoretical and simulation realm for highlighting the effect of quantum mechanics in guiding the behavior of molecules at the nanoscale.
不同生物和物理长度尺度下单细胞和单分子研究的相关性
规模超越了生物和物理组织的多个层面,是决定任何科学研究成功的关键因素。具体而言,提出问题的规模在影响所需实验和设备的类型方面起着至关重要的作用。单细胞和单分子实验之所以成为实验科学的前沿,是因为它能够解决生物学和物理科学中的一个基本问题:细胞和分子中的相同行为是否超越了不同的长度和种群规模?到目前为止,单细胞实验可以通过使用光学镊子陷阱和微流体通道捕获单细胞来实现。然而,单分子研究却并非如此,它仍停留在理论和模拟研究领域。具体而言,单分子实验仍停留在数百至数千个分子的水平上,在这种水平上,采样的分子群体中可能存在的偏差可能会对更大群体的分子现实提供错误的描述。但是,科学家们从单细胞和单分子研究中学到了什么?这是在量子力学的指导下,在单个实体层面上揭开概率行为的奥秘吗?单细胞研究的答案是否定的,因为细胞决策需要在细胞内输入数十到数百个分子传感器和效应器。因此,单细胞行为不是随机的,而是针对营养或浓度梯度或信号源。另一方面,具有活性位点的单分子底物的酶催化涉及量子机械串扰。因此,如果为双方找到合适的能级(即量子机械态),则底物分子和活性位点之间的反应进行。假设量子力学态的分布是概率的、随机性规则单分子相互作用例如反应物a和B之间的共价键形成反应。因此,如果在适当的长度和群体规模下对相关问题使用正确的实验工具,单细胞和单分子研究在生物和物理科学研究中确实具有相关性。例如,虽然单细胞实验可以获得大量的基本理解,但单细胞视角与研究两个大细胞亚群之间相互作用的问题无关。另一方面,单分子实验仍停留在理论和模拟领域,以突出量子力学在指导分子纳米级行为方面的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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