• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

高通量生长表型测量中的生长速率。

Measuring growth rate in high-throughput growth phenotyping.

机构信息

University of Gothenburg, Department of Cell and Molecular Biology, Lundberg Laboratory, Medicinaregatan 9C, Göteborg, Sweden.

出版信息

Curr Opin Biotechnol. 2011 Feb;22(1):94-102. doi: 10.1016/j.copbio.2010.10.013. Epub 2010 Nov 20.

DOI:10.1016/j.copbio.2010.10.013
PMID:21095113
Abstract

Growth rate is an important variable and parameter in biology with a central role in evolutionary, functional genomics, and systems biology studies. In this review the pros and cons of the different technologies presently available for high-throughput measurements of growth rate are discussed. Growth rate can be measured in liquid microcultivation of individual strains, in competition between strains, as growing colonies on agar, as division of individual cells, and estimated from molecular reporters. Irrespective of methodology, statistical issues such as spatial biases and batch effects are crucial to investigate and correct for to ensure low false discovery rates. The rather low correlations between studies indicate that cross-laboratory comparison and standardization are pressing issue to assure high-quality and comparable growth-rate data.

摘要

增长率是生物学中的一个重要变量和参数,在进化、功能基因组学和系统生物学研究中起着核心作用。在这篇综述中,讨论了目前可用于高通量测量增长率的不同技术的优缺点。可以在液体微培养单个菌株、菌株竞争、琼脂上生长菌落、个体细胞分裂以及分子报告中测量增长率。无论采用何种方法,空间偏差和批次效应等统计问题对于进行调查和纠正以确保低错误发现率至关重要。研究之间相关性较低表明,跨实验室比较和标准化是确保高质量和可比增长率数据的紧迫问题。

相似文献

1
Measuring growth rate in high-throughput growth phenotyping.高通量生长表型测量中的生长速率。
Curr Opin Biotechnol. 2011 Feb;22(1):94-102. doi: 10.1016/j.copbio.2010.10.013. Epub 2010 Nov 20.
2
PHENOS: a high-throughput and flexible tool for microorganism growth phenotyping on solid media.PHENOS:一种用于固体培养基上微生物生长表型分析的高通量、灵活的工具。
BMC Microbiol. 2018 Jan 24;18(1):9. doi: 10.1186/s12866-017-1143-y.
3
Developments in three-dimensional cell culture technology aimed at improving the accuracy of in vitro analyses.旨在提高体外分析准确性的三维细胞培养技术的发展。
Biochem Soc Trans. 2010 Aug;38(4):1072-5. doi: 10.1042/BST0381072.
4
Accurate, precise modeling of cell proliferation kinetics from time-lapse imaging and automated image analysis of agar yeast culture arrays.通过延时成像和琼脂酵母培养阵列的自动图像分析对细胞增殖动力学进行准确、精确的建模。
BMC Syst Biol. 2007 Jan 8;1:3. doi: 10.1186/1752-0509-1-3.
5
[Steering the acquisition process and multiparameter analysis of an image].[引导图像采集过程及多参数分析]
Postepy Biochem. 2010;56(2):209-32.
6
On-line multi-analyzer monitoring of biomass, glucose and acetate for growth rate control of a Vibrio cholerae fed-batch cultivation.在线多分析仪监测霍乱弧菌补料分批培养中生物量、葡萄糖和乙酸盐以控制生长速率
J Biotechnol. 2005 Jan 12;115(1):67-79. doi: 10.1016/j.jbiotec.2004.07.013.
7
pH measurement and a rational and practical pH control strategy for high throughput cell culture system.pH 值测量及高通量细胞培养系统的合理实用的 pH 值控制策略。
Biotechnol Prog. 2010 May-Jun;26(3):872-80. doi: 10.1002/btpr.369.
8
Lab-on-a-chip devices as an emerging platform for stem cell biology.微流控芯片装置作为一种新兴的干细胞生物学研究平台。
Lab Chip. 2010 Aug 21;10(16):2019-31. doi: 10.1039/c004689b. Epub 2010 Jun 16.
9
Correction for interference by test samples in high-throughput assays.高通量分析中测试样品干扰的校正。
J Biomol Screen. 2009 Sep;14(8):1008-16. doi: 10.1177/1087057109341768. Epub 2009 Jul 30.
10
Next generation microfluidic platforms for high-throughput protein biochemistry.用于高通量蛋白质生物化学的下一代微流控平台。
Curr Opin Biotechnol. 2011 Feb;22(1):59-65. doi: 10.1016/j.copbio.2010.08.010.

引用本文的文献

1
Yeast Complementation Assays Demonstrating the Importance of the Affinity Tag Position in Membrane Protein Purification, as Exemplified by UreI, the pH-Gated Urea Channel of .酵母互补分析证明了亲和标签位置在膜蛋白纯化中的重要性,以嗜热栖热菌的pH门控尿素通道UreI为例。
Small Sci. 2025 Jan 27;5(5):2400571. doi: 10.1002/smsc.202400571. eCollection 2025 May.
2
Quantifying massively parallel microbial growth with spatially mediated interactions.通过空间介导的相互作用对大规模平行微生物生长进行量化。
PLoS Comput Biol. 2024 Jul 22;20(7):e1011585. doi: 10.1371/journal.pcbi.1011585. eCollection 2024 Jul.
3
Phytoremediation: a transgenic perspective in omics era.
植物修复:组学时代的转基因视角。
Transgenic Res. 2024 Aug;33(4):175-194. doi: 10.1007/s11248-024-00393-x. Epub 2024 Jun 26.
4
Using colony size to measure fitness in Saccharomyces cerevisiae.使用菌落大小来衡量酿酒酵母的适合度。
PLoS One. 2022 Oct 13;17(10):e0271709. doi: 10.1371/journal.pone.0271709. eCollection 2022.
5
Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity.机器学习通过将细菌种群动态与环境多样性相关联,辅助发现生长决策要素。
Elife. 2022 Aug 26;11:e76846. doi: 10.7554/eLife.76846.
6
, a python toolbox for assessing microbial growth and cell viability in high-throughput colony screens.一个用于评估高通量集落筛选中微生物生长和细胞活力的 Python 工具包。
Elife. 2020 Jun 16;9:e55160. doi: 10.7554/eLife.55160.
7
An Overexpression Experiment Does Not Support the Hypothesis That Avoidance of Toxicity Determines the Rate of Protein Evolution.一项过表达实验并不支持“避免毒性决定蛋白质进化速率”这一假说。
Genome Biol Evol. 2020 May 1;12(5):589-596. doi: 10.1093/gbe/evaa067.
8
Interactively AUDIT Your Growth Curves with a Suite of R Packages.使用一系列 R 包交互式地 AUDIT 您的生长曲线。
G3 (Bethesda). 2020 Mar 5;10(3):933-943. doi: 10.1534/g3.119.400898.
9
Predicting the decision making chemicals used for bacterial growth.预测用于细菌生长的决策化学品。
Sci Rep. 2019 May 10;9(1):7251. doi: 10.1038/s41598-019-43587-8.
10
A decay effect of the growth rate associated with genome reduction in Escherichia coli.大肠杆菌基因组缩小与生长速度相关的衰减效应。
BMC Microbiol. 2018 Sep 3;18(1):101. doi: 10.1186/s12866-018-1242-4.