5.9
CiteScore
5.9
Impact Factor

2017 Vol. 44, No. 5

Editorial
Bioinformaticians wrestling with the big biomedical data
Yu Xue, Xiu-Jie Wang
2017, 44(5): 223-225. doi: 10.1016/j.jgg.2017.05.002
Abstract (71) HTML PDF (1)
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Original research
HCSGD: An integrated database of human cellular senescence genes
Qiongye Dong, Hongqing Han, Xuehui Liu, Lei Wei, Wei Zhang, Zhen Zhao, Michael Q. Zhang, Xiaowo Wang
2017, 44(5): 227-234. doi: 10.1016/j.jgg.2017.04.001
Abstract (116) HTML PDF (2)
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Cellular senescence is an irreversible cell cycle arrest program in response to various exogenous and endogenous stimuli like telomere dysfunction and DNA damage. It has been widely accepted as an anti-tumor program and is also found closely related to embryo development, tissue repair, organismal aging and age-related degenerative diseases. In the past decades, numerous efforts have been made to uncover the gene regulatory mechanisms of cellular senescence. There is a strong demand to integrate these data from various resources into one open platform. To facilitate researchers on cellular senescence, we have developed Human Cellular Senescence Gene Database (HCSGD) by integrating multiple online published data sources into a comprehensive senescence gene annotation platform (http://bioinfo.au.tsinghua.edu.cn/member/xwwang/HCSGD). Potential Human Cellular Senescence Genes (HCSGS) were collected by combining information from published literatures, gene expression profiling data and Protein-Protein Interaction networks. Additionally, genes are annotated with gene ontology annotation and microRNA/drug/compound target information. HCSGD provides a valuable resource to visualize cellular senescence gene networks, browse annotated functional information, and retrieve senescence-associated genes with a user-friendly web interface.
Rice Expression Database (RED): An integrated RNA-Seq-derived gene expression database for rice
Lin Xia, Dong Zou, Jian Sang, Xingjian Xu, Hongyan Yin, Mengwei Li, Shuangyang Wu, Songnian Hu, Lili Hao, Zhang Zhang
2017, 44(5): 235-241. doi: 10.1016/j.jgg.2017.05.003
Abstract (226) HTML PDF (22)
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Rice is one of the most important stable food as well as a monocotyledonous model organism for the plant research community. Here, we present RED (Rice Expression Database; http://expression.ic4r.org), an integrated database of rice gene expression profiles derived entirely from RNA-Seq data. RED features a comprehensive collection of 284 high-quality RNA-Seq experiments, integrates a large number of gene expression profiles and covers a wide range of rice growth stages as well as various treatments. Based on massive expression profiles, RED provides a list of housekeeping and tissue-specific genes and dynamically constructs co-expression networks for gene(s) of interest. Besides, it provides user-friendly web interfaces for querying, browsing and visualizing expression profiles of concerned genes. Together, as a core resource in BIG Data Center, RED bears great utility for characterizing the function of rice genes and better understanding important biological processes and mechanisms underlying complex agronomic traits in rice.
PLMD: An updated data resource of protein lysine modifications
Haodong Xu, Jiaqi Zhou, Shaofeng Lin, Wankun Deng, Ying Zhang, Yu Xue
2017, 44(5): 243-250. doi: 10.1016/j.jgg.2017.03.007
Abstract (354) HTML PDF (17)
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Post-translational modifications (PTMs) occurring at protein lysine residues, or protein lysine modifications (PLMs), play critical roles in regulating biological processes. Due to the explosive expansion of the amount of PLM substrates and the discovery of novel PLM types, here we greatly updated our previous studies, and presented a much more integrative resource of protein lysine modification database (PLMD). In PLMD, we totally collected and integrated 284,780 modification events in 53,501 proteins across 176 eukaryotes and prokaryotes for up to 20 types of PLMs, including ubiquitination, acetylation, sumoylation, methylation, succinylation, malonylation, glutarylation, glycation, formylation, hydroxylation, butyrylation, propionylation, crotonylation, pupylation, neddylation, 2-hydroxyisobutyrylation, phosphoglycerylation, carboxylation, lipoylation and biotinylation. Using the data set, a motif-based analysis was performed for each PLM type, and the results demonstrated that different PLM types preferentially recognize distinct sequence motifs for the modifications. Moreover, various PLMs synergistically orchestrate specific cellular biological processes by mutual crosstalks with each other, and we totally found 65,297 PLM events involved in 90 types of PLM co-occurrences on the same lysine residues. Finally, various options were provided for accessing the data, while original references and other annotations were also present for each PLM substrate. Taken together, we anticipated the PLMD database can serve as a useful resource for further researches of PLMs. PLMD 3.0 was implemented in PHP + MySQL and freely available at http://plmd.biocuckoo.org.
SysFinder: A customized platform for search, comparison and assisted design of appropriate animal models based on systematic similarity
Shuang Yang, Guoqing Zhang, Wan Liu, Zhen Wang, Jifeng Zhang, Dongshan Yang, Y. Eugene Chen, Hong Sun, Yixue Li
2017, 44(5): 251-258. doi: 10.1016/j.jgg.2017.05.001
Abstract (93) HTML PDF (1)
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Animal models are increasingly gaining values by cross-comparisons of response or resistance to clinical agents used for patients. However, many disease mechanisms and drug effects generated from animal models are not transferable to human. To address these issues, we developed SysFinder (http://lifecenter.sgst.cn/SysFinder), a platform for scientists to find appropriate animal models for translational research. SysFinder offers a “topic-centered” approach for systematic comparisons of human genes, whose functions are involved in a specific scientific topic, to the corresponding homologous genes of animal models. Scientific topic can be a certain disease, drug, gene function or biological pathway. SysFinder calculates multi-level similarity indexes to evaluate the similarities between human and animal models in specified scientific topics. Meanwhile, SysFinder offers species-specific information to investigate the differences in molecular mechanisms between humans and animal models. Furthermore, SysFinder provides a user-friendly platform for determination of short guide RNAs (sgRNAs) and homology arms to design a new animal model. Case studies illustrate the ability of SysFinder in helping experimental scientists. SysFinder is a useful platform for experimental scientists to carry out their research in the human molecular mechanisms.
DRodVir: A resource for exploring the virome diversity in rodents
Lihong Chen, Bo Liu, Zhiqiang Wu, Qi Jin, Jian Yang
2017, 44(5): 259-264. doi: 10.1016/j.jgg.2017.04.004
Abstract (74) HTML PDF (3)
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Emerging zoonotic diseases have received tremendous interests in recent years, as they pose a significant threat to human health, animal welfare, and economic stability. A high proportion of zoonoses originate from wildlife reservoirs. Rodents are the most numerous, widespread, and diverse group of mammals on the earth and are reservoirs for many zoonotic viruses responsible for significant morbidity and mortality. A better understanding of virome diversity in rodents would be of importance for researchers and professionals in the field. Therefore, we developed the DRodVir database (http://www.mgc.ac.cn/DRodVir/), a comprehensive, up-to-date, and well-curated repository of rodent-associated animal viruses. The database currently covers 7690 sequences from 5491 rodent-associated mammal viruses of 26 viral families detected from 194 rodent species in 93 countries worldwide. In addition to virus sequences, the database provides detailed information on related samples and host rodents, as well as a set of online analytical tools for text query, BLAST search and phylogenetic reconstruction. The DRodVir database will help virologists better understand the virome diversity of rodents. Moreover, it will be a valuable tool for epidemiologists and zoologists for easy monitoring and tracking of the current and future zoonotic diseases. As a data application example, we further compared the current status of rodent-associated viruses with bat-associated viruses to highlight the necessity for including additional host species and geographic regions in future investigations, which will help us achieve a better understanding of the virome diversities in the two major reservoirs of emerging zoonotic infectious diseases.
Letter to the editor
lncRInter: A database of experimentally validated long non-coding RNA interaction
Chun-Jie Liu, Changhan Gao, Zhaowu Ma, Renhuai Cong, Qiong Zhang, An-Yuan Guo
2017, 44(5): 265-268. doi: 10.1016/j.jgg.2017.01.004
Abstract (123) HTML PDF (7)
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mTD: A database of microRNAs affecting therapeutic effects of drugs
Xiao Chen, Wen-Bin Xie, Pei-Pei Xiao, Xing-Ming Zhao, Hong Yan
2017, 44(5): 269-271. doi: 10.1016/j.jgg.2017.04.003
Abstract (101) HTML PDF (4)
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ADMETNet: The knowledge base of pharmacokinetics and toxicology network
Quan Xu, Ke Liu, Xingming Lin, Yangmei Qin, Linshan Chen, Jiao Cheng, Mindong Zhong, Qiushun He, Yinbo Li, Tingwu Wang, Jianbo Pan, Menglu Peng, Lixia Yao, Zhiliang Ji
2017, 44(5): 273-276. doi: 10.1016/j.jgg.2017.04.005
Abstract (110) HTML PDF (2)
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CMGene: A literature-based database and knowledge resource for cancer metastasis genes
Yining Liu, Zhe Li, Jiachun Lu, Min Zhao, Hong Qu
2017, 44(5): 277-279. doi: 10.1016/j.jgg.2017.04.006
Abstract (81) HTML PDF (3)
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VirusMap: A visualization database for the influenza A virus
Yubin Xie, Xiaotong Luo, Zhihao He, Yueyuan Zheng, Zhixiang Zuo, Qi Zhao, Yanyan Miao, Jian Ren
2017, 44(5): 281-284. doi: 10.1016/j.jgg.2017.04.002
Abstract (70) HTML PDF (2)
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