我们到了吗?评估单细胞蛋白质组学在解答生物学假设方面的准备情况。

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Alyssa A Nitz, Jose Humberto Giraldez Chavez, Zachary G Eliason, Samuel H Payne
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引用次数: 0

摘要

单细胞分析是生物学许多领域中一个活跃的研究领域。通过单细胞分辨率的测量,研究人员可以对不同的群体进行研究,而不会因为样本平均值而丢失具有生物学意义的信息。许多技术已被用于研究单细胞,包括基于质谱的单细胞蛋白质组学(SCP)。通过改进数据采集和分析,单细胞蛋白质组学在过去几年中取得了长足的发展,蛋白质组学的深度也随之提高。由于方法开发一直是单细胞蛋白质组学的重点,因此生物应用只是作为概念验证的一部分。不过,SCP 方法目前已覆盖了大量蛋白质组,并已在许多实验室实施。因此,我们需要解决的一个首要问题是,目前的技术是否已准备好广泛应用于生物学研究。在本视角中,我们探讨了 SCP 在三个生物研究主题领域的应用潜力:细胞注释、发育轨迹和空间绘图。我们发现 SCP 的主要限制在于样本吞吐量。迄今为止,蛋白质组深度一直是方法开发的主要目标,因此我们主张改变重点,促进测量数以万计的单细胞蛋白质组,使生物应用超越概念验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Are We There Yet? Assessing the Readiness of Single-Cell Proteomics to Answer Biological Hypotheses.

Are We There Yet? Assessing the Readiness of Single-Cell Proteomics to Answer Biological Hypotheses.

Single-cell analysis is an active area of research in many fields of biology. Measurements at single-cell resolution allow researchers to study diverse populations without losing biologically meaningful information to sample averages. Many technologies have been used to study single cells, including mass spectrometry-based single-cell proteomics (SCP). SCP has seen a lot of growth over the past couple of years through improvements in data acquisition and analysis, leading to greater proteomic depth. Because method development has been the main focus in SCP, biological applications have been sprinkled in only as proof-of-concept. However, SCP methods now provide significant coverage of the proteome and have been implemented in many laboratories. Thus, a primary question to address in our community is whether the current state of technology is ready for widespread adoption for biological inquiry. In this Perspective, we examine the potential for SCP in three thematic areas of biological investigation: cell annotation, developmental trajectories, and spatial mapping. We identify that the primary limitation of SCP is sample throughput. As proteome depth has been the primary target for method development to date, we advocate for a change in focus to facilitate measuring tens of thousands of single-cell proteomes to enable biological applications beyond proof-of-concept.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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