Literature DB >> 30239683

ATD: a comprehensive bioinformatics resource for deciphering the association of autophagy and diseases.

Wenjing Wang1,2, Peng Zhang1, Leijie Li1, Zhaobin Chen1, Weiyang Bai1,3, Guiyou Liu3, Liangcai Zhang4, Haiyang Jia5, Li Li2, Yingcui Yu6, Mingzhi Liao1.   

Abstract

Autophagy is the natural, regulated, destructive mechanism of the eukaryotes cell that disassembles unnecessary or dysfunctional components. In recent years, the association between autophagy and diseases has attracted more and more attention, but our understanding of the molecular mechanism about the association in the system perspective is limited and ambiguous. Hence, we developed the comprehensive bioinformatics resource Autophagy To Disease (ATD, http://auto2disease.nwsuaflmz.com) to archive autophagy-associated diseases. This resource provides bioinformatics annotation system about genes and chemicals about autophagy and human diseases by extracting results from previous studies with text mining technology. Based on the big data from ATD, we found that some classes of disease tend to be related with autophagy, including respiratory disease, cancer, urogenital disease and digestive system disease. We also found that some classes of autophagy-related diseases have a strong association among each other and constitute modules. Furthermore, we extracted the autophagy-disease-related genes (ADGs) from ATD and provided a novel algorithm Optimized Random Forest with Label model to predict potential ADGs. This bioinformatics annotation system about autophagy and human diseases may provide a basic resource for the further detection of the molecular mechanisms of autophagy pathway to disease.

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Year:  2018        PMID: 30239683      PMCID: PMC6146119          DOI: 10.1093/database/bay093

Source DB:  PubMed          Journal:  Database (Oxford)        ISSN: 1758-0463            Impact factor:   3.451


  34 in total

1.  The Gene Ontology (GO) database and informatics resource.

Authors:  M A Harris; J Clark; A Ireland; J Lomax; M Ashburner; R Foulger; K Eilbeck; S Lewis; B Marshall; C Mungall; J Richter; G M Rubin; J A Blake; C Bult; M Dolan; H Drabkin; J T Eppig; D P Hill; L Ni; M Ringwald; R Balakrishnan; J M Cherry; K R Christie; M C Costanzo; S S Dwight; S Engel; D G Fisk; J E Hirschman; E L Hong; R S Nash; A Sethuraman; C L Theesfeld; D Botstein; K Dolinski; B Feierbach; T Berardini; S Mundodi; S Y Rhee; R Apweiler; D Barrell; E Camon; E Dimmer; V Lee; R Chisholm; P Gaudet; W Kibbe; R Kishore; E M Schwarz; P Sternberg; M Gwinn; L Hannick; J Wortman; M Berriman; V Wood; N de la Cruz; P Tonellato; P Jaiswal; T Seigfried; R White
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  Tagging gene and protein names in biomedical text.

Authors:  Lorraine Tanabe; W John Wilbur
Journal:  Bioinformatics       Date:  2002-08       Impact factor: 6.937

Review 3.  Autophagy and aging: the importance of maintaining "clean" cells.

Authors:  Ana Maria Cuervo; Ettore Bergamini; Ulf T Brunk; Wulf Dröge; Martine Ffrench; Alexei Terman
Journal:  Autophagy       Date:  2005-10-13       Impact factor: 16.016

4.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

Review 5.  Autophagy: process and function.

Authors:  Noboru Mizushima
Journal:  Genes Dev       Date:  2007-11-15       Impact factor: 11.361

6.  Sera from patients with type 2 diabetes and neuropathy induce autophagy and colocalization with mitochondria in SY5Y cells.

Authors:  Roberto Towns; Yukiko Kabeya; Tamotsu Yoshimori; Chunfang Guo; Yu Shangguan; Shuangsong Hong; Mariana Kaplan; Daniel J Klionsky; John W Wiley
Journal:  Autophagy       Date:  2005-10-02       Impact factor: 16.016

7.  The NIH Roadmap Epigenomics Mapping Consortium.

Authors:  Bradley E Bernstein; John A Stamatoyannopoulos; Joseph F Costello; Bing Ren; Aleksandar Milosavljevic; Alexander Meissner; Manolis Kellis; Marco A Marra; Arthur L Beaudet; Joseph R Ecker; Peggy J Farnham; Martin Hirst; Eric S Lander; Tarjei S Mikkelsen; James A Thomson
Journal:  Nat Biotechnol       Date:  2010-10       Impact factor: 54.908

8.  Autophagy Regulatory Network - a systems-level bioinformatics resource for studying the mechanism and regulation of autophagy.

Authors:  Dénes Türei; László Földvári-Nagy; Dávid Fazekas; Dezső Módos; János Kubisch; Tamás Kadlecsik; Amanda Demeter; Katalin Lenti; Péter Csermely; Tibor Vellai; Tamás Korcsmáros
Journal:  Autophagy       Date:  2015       Impact factor: 16.016

9.  Defective recognition of LC3B by mutant SQSTM1/p62 implicates impairment of autophagy as a pathogenic mechanism in ALS-FTLD.

Authors:  Alice Goode; Kevin Butler; Jed Long; James Cavey; Daniel Scott; Barry Shaw; Jill Sollenberger; Christopher Gell; Terje Johansen; Neil J Oldham; Mark S Searle; Robert Layfield
Journal:  Autophagy       Date:  2016-05-09       Impact factor: 16.016

Review 10.  Degradation of misfolded proteins in neurodegenerative diseases: therapeutic targets and strategies.

Authors:  Aaron Ciechanover; Yong Tae Kwon
Journal:  Exp Mol Med       Date:  2015-03-13       Impact factor: 8.718

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  4 in total

1.  Autophagy and Tumor Database: ATdb, a novel database connecting autophagy and tumor.

Authors:  Kelie Chen; Dexin Yang; Fan Zhao; Shengchao Wang; Yao Ye; Wenjie Sun; Haohua Lu; Zhi Ruan; Jinming Xu; Tianru Wang; Guang Lu; Liming Wang; Yu Shi; Honghe Zhang; Han Wu; Weiguo Lu; Han-Ming Shen; Dajing Xia; Yihua Wu
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

2.  An exploratory text analysis of the autophagy research field.

Authors:  Willa Wen-You Yim; Yoshitaka Kurikawa; Noboru Mizushima
Journal:  Autophagy       Date:  2021-11-23       Impact factor: 13.391

3.  Tracing the footsteps of autophagy in computational biology.

Authors:  Dipanka Tanu Sarmah; Nandadulal Bairagi; Samrat Chatterjee
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

4.  The modification of ferroptosis and abnormal lipometabolism through overexpression and knockdown of potential prognostic biomarker perilipin2 in gastric carcinoma.

Authors:  Xiaoying Sun; Shaojuan Yang; Xuechao Feng; Yaowu Zheng; Jinsong Zhou; Hai Wang; Yucheng Zhang; Hongyan Sun; Chengyan He
Journal:  Gastric Cancer       Date:  2019-09-13       Impact factor: 7.370

  4 in total

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