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监测多个细胞周期中单细胞基因表达的动态变化。

Monitoring dynamics of single-cell gene expression over multiple cell cycles.

作者信息

Cookson Scott, Ostroff Natalie, Pang Wyming Lee, Volfson Dmitri, Hasty Jeff

机构信息

Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA.

出版信息

Mol Syst Biol. 2005;1:2005.0024. doi: 10.1038/msb4100032. Epub 2005 Nov 22.

DOI:10.1038/msb4100032
PMID:16729059
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1681470/
Abstract

Recent progress in reconstructing gene regulatory networks has established a framework for a quantitative description of the dynamics of many important cellular processes. Such a description will require novel experimental techniques that enable the generation of time-series data for the governing regulatory proteins in a large number of individual living cells. Here, we utilize microfabrication to construct a Tesla microchemostat that permits single-cell fluorescence imaging of gene expression over many cellular generations. The device is used to capture and constrain asymmetrically dividing or motile cells within a trapping region and to deliver nutrients and regulate the cellular population within this region. We illustrate the operation of the microchemostat with Saccharomyces cerevisiae and explore the evolution of single-cell gene expression and cycle time as a function of generation. Our findings highlight the importance of novel assays for quantifying the dynamics of gene expression and cellular growth, and establish a methodology for exploring the effects of gene expression on long-term processes such as cellular aging.

摘要

基因调控网络重建的最新进展为定量描述许多重要细胞过程的动态建立了一个框架。这样的描述将需要新颖的实验技术,以便能够为大量单个活细胞中起调控作用的调节蛋白生成时间序列数据。在这里,我们利用微制造技术构建了一个特斯拉微型恒化器,它可以在多个细胞世代中对基因表达进行单细胞荧光成像。该装置用于在捕获区域内捕获和限制不对称分裂或运动的细胞,并提供营养物质并调节该区域内的细胞群体。我们用酿酒酵母说明了微型恒化器的操作,并探索了单细胞基因表达和周期时间随世代的演变。我们的研究结果突出了用于量化基因表达和细胞生长动态的新颖检测方法的重要性,并建立了一种探索基因表达对细胞衰老等长期过程影响的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e781/1681470/52a11e602a2e/msb4100032-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e781/1681470/99b945648694/msb4100032-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e781/1681470/e7380e91f096/msb4100032-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e781/1681470/52a11e602a2e/msb4100032-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e781/1681470/99b945648694/msb4100032-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e781/1681470/e7380e91f096/msb4100032-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e781/1681470/52a11e602a2e/msb4100032-f3.jpg

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本文引用的文献

1
A microfluidic chemostat for experiments with bacterial and yeast cells.一种用于细菌和酵母细胞实验的微流控恒化器。
Nat Methods. 2005 Sep;2(9):685-9. doi: 10.1038/nmeth784.
2
Long-term monitoring of bacteria undergoing programmed population control in a microchemostat.在微型恒化器中对经历程序性种群控制的细菌进行长期监测。
Science. 2005 Jul 1;309(5731):137-40. doi: 10.1126/science.1109173.
3
Molecular interaction map of the p53 and Mdm2 logic elements, which control the Off-On switch of p53 in response to DNA damage.p53和Mdm2逻辑元件的分子相互作用图谱,其控制p53响应DNA损伤的开-关开关。
Transl Med Aging. 2020;4:151-160. doi: 10.1016/j.tma.2019.09.002. Epub 2019 Sep 12.
4
Imaging-based screens of pool-synthesized cell libraries.基于成像的池合成细胞文库筛选。
Nat Methods. 2021 Apr;18(4):358-365. doi: 10.1038/s41592-020-01053-8. Epub 2021 Feb 15.
5
A microfluidic device for inferring metabolic landscapes in yeast monolayer colonies.一种用于推断酵母单层菌落代谢景观的微流控装置。
Elife. 2019 Jul 1;8:e47951. doi: 10.7554/eLife.47951.
6
Complex signal processing in synthetic gene circuits using cooperative regulatory assemblies.利用协同调控组件进行合成基因回路中的复杂信号处理。
Science. 2019 May 10;364(6440):593-597. doi: 10.1126/science.aau8287. Epub 2019 Apr 18.
7
Multiple inputs ensure yeast cell size homeostasis during cell cycle progression.多种输入确保了酵母细胞在细胞周期进程中保持细胞大小的平衡。
Elife. 2018 Jul 4;7:e34025. doi: 10.7554/eLife.34025.
8
Microfluidics and single-cell microscopy to study stochastic processes in bacteria.微流控和单细胞显微镜技术用于研究细菌中的随机过程。
Curr Opin Microbiol. 2018 Jun;43:186-192. doi: 10.1016/j.mib.2017.12.004. Epub 2018 Feb 27.
9
Role of growth rate on the orientational alignment of in a slit.生长速率对狭缝中[具体物质,原文未明确]取向排列的作用。
R Soc Open Sci. 2017 Jun 21;4(6):170463. doi: 10.1098/rsos.170463. eCollection 2017 Jun.
10
Microfluidic Platforms for Yeast-Based Aging Studies.用于基于酵母的衰老研究的微流控平台
Small. 2016 Nov;12(42):5787-5801. doi: 10.1002/smll.201602006. Epub 2016 Sep 26.
Biochem Biophys Res Commun. 2005 Jun 10;331(3):816-27. doi: 10.1016/j.bbrc.2005.03.186.
4
A synthetic multicellular system for programmed pattern formation.一种用于程序化模式形成的合成多细胞系统。
Nature. 2005 Apr 28;434(7037):1130-4. doi: 10.1038/nature03461.
5
Noise propagation in gene networks.基因网络中的噪声传播。
Science. 2005 Mar 25;307(5717):1965-9. doi: 10.1126/science.1109090.
6
Gene regulation at the single-cell level.单细胞水平的基因调控。
Science. 2005 Mar 25;307(5717):1962-5. doi: 10.1126/science.1106914.
7
Differentiation-on-a-chip: a microfluidic platform for long-term cell culture studies.芯片上的分化:用于长期细胞培养研究的微流控平台。
Lab Chip. 2005 Jan;5(1):14-9. doi: 10.1039/b405719h. Epub 2004 Jul 26.
8
Aging and genetic instability in yeast.酵母中的衰老与遗传不稳定性
Curr Opin Microbiol. 2004 Dec;7(6):673-9. doi: 10.1016/j.mib.2004.10.008.
9
Checking on DNA damage in S phase.检查S期的DNA损伤。
Nat Rev Mol Cell Biol. 2004 Oct;5(10):792-804. doi: 10.1038/nrm1493.
10
Network responses to DNA damaging agents.对DNA损伤剂的网络反应。
DNA Repair (Amst). 2004 Aug-Sep;3(8-9):1123-32. doi: 10.1016/j.dnarep.2004.03.013.