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Genetic Screens

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...

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Updated: May 9, 2025

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

Published on: October 27, 2017

从基因到途径:一个精选的基因方法,精确的途径重建在Teleost鱼的转录组学.

Marcela Herrera¹, Stefano Vianello², Laurie Mitchell¹

¹Marine Eco-Evo-Devo Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.

Journal of experimental zoology. Part B, Molecular and developmental evolution

|April 29, 2025

概括

这项研究引入了一份手动策划的远距离鱼类转录组的基因列表,改善了非模型生物的数据解释. 该资源有助于研究人员通过向基因分析了解鱼类生理和适应.

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Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

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A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

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Last Updated: May 9, 2025

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

Published on: October 27, 2017

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Published on: August 10, 2009

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

科学领域:

进行比较的基因组学.
分子生物学分子生物学
水生生物学水生生物学

背景情况:

高通量测序产生了大量的数据,具有挑战性的解释,特别是对于非模型生物.
像基因本体学 (GO) 和基因和基因组的京都百科全书 (KEGG) 等自动化分析缺乏非模型物种的特异性.
远距离鱼类研究需要专门的工具来准确的转录基因数据分析.

研究的目的:

开发一个专门用于远距离鱼转录组学的手动策划的基因列表.
提高非模型鱼类基因丰富分析的特异性和可靠性.
支持关于远鱼生理学,发育和适应性的研究.

主要方法:

由跨学科专家手动策划基因列表.
基因的优先考虑是基于teleost生理学和实验证据中已确定的角色.
专注于关键的生物过程,包括激素信号传递,新陈代谢和度调节.

主要成果:

已经创建了一个针对远距离鱼转录组学的定制基因列表.
该名单包括对激素信号传递,新陈代谢,消化,视力和度调节至关重要的基因.
这种资源提供了一个可靠的起点,为teleost转录学研究.

结论:

策划的基因列表改善了对远鱼的转录基因数据的解释.
这种资源简化了用于远距离宇宙研究的基因选择和分析.
列表的合作完善将确保其对科学界的持续有用性.