GeneFriends: An RNA-seq co-expression tool for functional annotation and candidate gene prioritization
GeneFriends:用于功能注释和候选基因优先级排序的 RNA-seq 共表达工具
基本信息
- 批准号:BB/K016741/1
- 负责人:
- 金额:$ 12.02万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2013
- 资助国家:英国
- 起止时间:2013 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Over the past decade, and in part thanks to the sequencing of the human genome, research in the field of genetics has rapidly expanded leading to the identification of many genes associated with multiple human diseases and traits. Even though science has gained a broader understanding of most human diseases, many unanswered questions remain and the genetic basis of the majority of human common diseases and most human traits is only partly understood. This project aims to construct a new online tool to help researchers infer the functions of unknown genes as well as identify candidate new players for roles in diseases and in biological processes. This tool will be based on data obtained from the state-of-the-art RNA sequencing technology (RNA-seq). This technology allows researchers to measure the activity of genes in a given sample with greater accuracy than previous methods and is capable of measuring genes that to not encode proteins. A growing number of researchers currently employ RNA-seq, yet many genes associated with diseases and processes have unknown functions, which impedes understanding the mechanisms involved. To address this issue, our proposed tool, entitled GeneFriends, employs a guilt-by-association methodology to the analysis of genes. This approach identifies which genes tend to be activated simultaneously across multiple samples. Based on the idea that genes that are activated at the same time are functionally related, it is possible to predict the functions of previously unstudied genes based on the functions of the known genes they are co-activated with. To determine how genes tend to be co-activated, thousands of publicly available samples of previously measured gene levels using RNA-seq will be combined. This way a map will be generated that describes which genes generally tend to act together. GeneFriends will allow scientists and clinicians to infer the function of unknown genes. Additionally, GeneFriends can be used to associate new genes with diseases and processes based on the fact that they were active at the same time as other genes previously identified as important for that disease or process. The corresponding tool created in this project will then allow researchers to relate new factors to diseases, identify candidate drug targets, potentially leading to new types of diagnosis and treatments. GeneFriends will be initially created for humans and mice and will be made freely available online for researchers, clinicians and commercial companies to use.
在过去的十年中,由于人类基因组的测序,遗传学领域的研究迅速扩展,导致鉴定了许多与多种人类疾病和特征相关的基因。尽管科学对大多数人类疾病有了更广泛的了解,但仍然存在许多未解决的问题,并且大多数人类常见疾病和大多数人类特征的遗传基础仅部分理解。该项目旨在构建一种新的在线工具,以帮助研究人员推断未知基因的功能,并确定候选人在疾病和生物过程中角色的新参与者。该工具将基于从最先进的RNA测序技术(RNA-Seq)获得的数据。该技术使研究人员可以比以前的方法更准确地测量给定样品中基因的活性,并且能够测量不编码蛋白质的基因。越来越多的研究人员目前采用RNA-seq,但是许多与疾病和过程相关的基因具有未知的功能,这阻碍了理解所涉及的机制。为了解决这个问题,我们提出的题为Genefriends的工具对基因分析采用了内gui感。这种方法可以识别哪些基因在多个样品中倾向于同时激活。基于以下想法:同时激活的基因在功能上相关,可以根据与已知基因的功能相关的功能来预测先前未研究的基因的功能。为了确定基因倾向于共激活的基因,将合并数千个先前测量的基因水平的公开样品。这样,将生成地图,描述哪些基因通常倾向于一起起作用。基因朋友将允许科学家和临床医生推断未知基因的功能。此外,基于基于疾病和过程的新基因与以前对该疾病或过程重要的其他基因同时活跃的事实,可以使用基因和过程将新基因与疾病和过程联系起来。然后,该项目创建的相应工具将使研究人员能够将新因素与疾病联系,识别候选药物靶标,并可能导致新型的诊断和治疗。最初将为人类和老鼠创建Genefriends,并将在线免费提供,以供研究人员,临床医生和商业公司使用。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Additional file 2: of A comparison of human and mouse gene co-expression networks reveals conservation and divergence at the tissue, pathway and disease levels
附加文件2:人类和小鼠基因共表达网络的比较揭示了组织、途径和疾病水平上的保守性和分歧
- DOI:10.6084/m9.figshare.c.3598718_d1
- 发表时间:2015
- 期刊:
- 影响因子:0
- 作者:Monaco G
- 通讯作者:Monaco G
GeneFriends: a human RNA-seq-based gene and transcript co-expression database.
- DOI:10.1093/nar/gku1042
- 发表时间:2015-01
- 期刊:
- 影响因子:14.9
- 作者:van Dam S;Craig T;de Magalhães JP
- 通讯作者:de Magalhães JP
Gene co-expression analysis for functional classification and gene-disease predictions.
- DOI:10.1093/bib/bbw139
- 发表时间:2018-07-20
- 期刊:
- 影响因子:9.5
- 作者:van Dam S;Võsa U;van der Graaf A;Franke L;de Magalhães JP
- 通讯作者:de Magalhães JP
A direct communication proposal to test the Zoo Hypothesis
测试动物园假说的直接沟通建议
- DOI:10.1016/j.spacepol.2016.06.001
- 发表时间:2016
- 期刊:
- 影响因子:1.1
- 作者:De Magalhães J
- 通讯作者:De Magalhães J
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Joao Magalhaes其他文献
Joao Magalhaes的其他文献
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{{ truncateString('Joao Magalhaes', 18)}}的其他基金
The Human Ageing Genomic Resources
人类衰老基因组资源
- 批准号:
BB/R014949/2 - 财政年份:2023
- 资助金额:
$ 12.02万 - 项目类别:
Research Grant
Machine Learning to Unravel Anti-Ageing Compounds
机器学习揭示抗衰老化合物
- 批准号:
BB/V010123/2 - 财政年份:2023
- 资助金额:
$ 12.02万 - 项目类别:
Research Grant
Machine Learning to Unravel Anti-Ageing Compounds
机器学习揭示抗衰老化合物
- 批准号:
BB/V010123/1 - 财政年份:2021
- 资助金额:
$ 12.02万 - 项目类别:
Research Grant
The Human Ageing Genomic Resources
人类衰老基因组资源
- 批准号:
BB/R014949/1 - 财政年份:2018
- 资助金额:
$ 12.02万 - 项目类别:
Research Grant
Using massive-scale mRNA sequencing to unravel the mechanisms of ageing and its modulation by diet
利用大规模 mRNA 测序揭示衰老机制及其饮食调节
- 批准号:
BB/H008497/1 - 财政年份:2010
- 资助金额:
$ 12.02万 - 项目类别:
Research Grant
The digital ageing map: development of web tools for the integration and visualization of age-related changes at various biological levels
数字衰老地图:开发网络工具,用于整合和可视化不同生物水平上与年龄相关的变化
- 批准号:
BB/G024774/1 - 财政年份:2009
- 资助金额:
$ 12.02万 - 项目类别:
Research Grant
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