Predicted Drosophila Interactome Resource and web tool for functional interpretation of differentially expressed genes

Author:

Ding Xiao-Bao1,Jin Jie1,Tao Yu-Tian1,Guo Wen-Ping1,Ruan Li1,Yang Qiao-lei2,Chen Peng-Cheng2,Yao Heng2,Zhang Hai-bo1,Chen Xin123

Affiliation:

1. Institute of Big Data and Artificial Intelligence in Medicine, School of Electronics and Information Engineering, Taizhou University, 1139 Shifu Avenue, Taizhou 318000, China

2. Institute of Pharmaceutical Biotechnology and the First Affiliated Hospital Department of Radiation Oncology, Zhejiang University School of Medicine, 866 Yuhantang Rd, Hangzhou 310058, China

3. Joint Institute for Genetics and Genome Medicine between Zhejiang University and University of Toronto, Zhejiang University, 866 Yuhantang Rd, Hangzhou 310058, China

Abstract

Abstract Drosophila melanogaster is a well-established model organism that is widely used in genetic studies. This species enjoys the availability of a wide range of research tools, well-annotated reference databases and highly similar gene circuitry to other insects. To facilitate molecular mechanism studies in Drosophila, we present the Predicted Drosophila Interactome Resource (PDIR), a database of high-quality predicted functional gene interactions. These interactions were inferred from evidence in 10 public databases providing information for functional gene interactions from diverse perspectives. The current version of PDIR includes 102 835 putative functional associations with balanced sensitivity and specificity, which are expected to cover 22.56% of all Drosophila protein interactions. This set of functional interactions is a good reference for hypothesis formulation in molecular mechanism studies. At the same time, these interactions also serve as a high-quality reference interactome for gene set linkage analysis (GSLA), which is a web tool for the interpretation of the potential functional impacts of a set of changed genes observed in transcriptomics analyses. In a case study, we show that the PDIR/GSLA system was able to produce a more comprehensive and concise interpretation of the collective functional impact of multiple simultaneously changed genes compared with the widely used gene set annotation tools, including PANTHER and David. PDIR and its associated GSLA service can be accessed at http://drosophila.biomedtzc.cn.

Funder

Breeding program of Taizhou University

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Reference45 articles.

1. Drosophila melanogaster—the model organism of choice for the complex biology of multi-cellular organisms;Beckingham;Gravit. Space Biol. Bull.,2005

2. Introduction: Drosophila—a model system for developmental biology;Tolwinski;J Dev Biol,2017

3. Functions of long non-coding RNAs in human disease and their conservation in Drosophila development;Rogoyski;Biochem. Soc. Trans.,2017

4. Drosophila melanogaster as a model organism for Alzheimer’s disease;Prüßing;Mol. Neurodegener.,2013

5. Cell competition and tumorigenesis in the imaginal discs of Drosophila;Morata;Semin. Cancer Biol,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3