Literature DB >> 27037912

GAMDB: a web resource to connect microRNAs with autophagy in gerontology.

Lan Zhang1, Tao Xie1, Mao Tian1, Jingjing Li1, Sicheng Song1, Liang Ouyang1, Bo Liu1, Haoyang Cai2.   

Abstract

OBJECTIVES: MicroRNAs (miRNAs) are endogenous ~23 nucleotides (nt) RNAs, regulating gene expression by pairing to the mRNAs of protein-coding genes to direct their post-transcriptional repression. Both in normal and aberrant activities, miRNAs contribute to a recurring paradigm of cellular behaviors in pathological settings, especially in gerontology. Autophagy, a multi-step lysosomal degradation process with function to degrade long-lived proteins and damaged organelles, has significant impact on gerontology. Thus, elucidating how miRNAs participate in autophagy may enlarge the scope of miRNA in autophagy and facilitate researches in gerontology.
MATERIALS AND METHODS: Herein, based upon the published studies, predicted targets and gerontology-related diseases, we constructed a web resource named Gerontology-Autophagic-MicroRNA Database (GAMDB) (http://gamdb.liu-lab.com/index.php), which contained 836 autophagy-related miRNAs, 197 targeted genes/proteins and 56 aging-related diseases such as Parkinson' disease, Alzheimer's disease and Huntington's disease. RESULTS AND
CONCLUSION: We made use of large amounts of data to elucidate the intricate relationships between microRNA-regulated autophagic mechanisms and gerontology. This database will facilitate better understanding of autophagy regulation network in gerontology and thus promoting gerontology-related therapy in the future.
© 2016 John Wiley & Sons Ltd.

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Year:  2016        PMID: 27037912      PMCID: PMC6496910          DOI: 10.1111/cpr.12247

Source DB:  PubMed          Journal:  Cell Prolif        ISSN: 0960-7722            Impact factor:   6.831


  33 in total

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Journal:  Autophagy       Date:  2012-02-01       Impact factor: 16.016

2.  Targeting microRNA-30a-mediated autophagy enhances imatinib activity against human chronic myeloid leukemia cells.

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Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-18       Impact factor: 11.205

4.  miR-101 inhibits autophagy and enhances cisplatin-induced apoptosis in hepatocellular carcinoma cells.

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Journal:  Oncol Rep       Date:  2013-03-07       Impact factor: 3.906

5.  The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14.

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Review 6.  Ageing populations: the challenges ahead.

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Review 7.  The hallmarks of aging.

Authors:  Carlos López-Otín; Maria A Blasco; Linda Partridge; Manuel Serrano; Guido Kroemer
Journal:  Cell       Date:  2013-06-06       Impact factor: 41.582

Review 8.  MicroRNAs in apoptosis, autophagy and necroptosis.

Authors:  Zhenyi Su; Zuozhang Yang; Yongqing Xu; Yongbin Chen; Qiang Yu
Journal:  Oncotarget       Date:  2015-04-20

9.  Gene Ontology Consortium: going forward.

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10.  miRBase: annotating high confidence microRNAs using deep sequencing data.

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Journal:  Nucleic Acids Res       Date:  2013-11-25       Impact factor: 16.971

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  5 in total

Review 1.  Deconvoluting the complexity of microRNAs in autophagy to improve potential cancer therapy.

Authors:  Dahong Yao; Yingnan Jiang; Suyu Gao; Lei Shang; Yuqian Zhao; Jian Huang; Jinhui Wang; Shilin Yang; Lixia Chen
Journal:  Cell Prolif       Date:  2016-07-20       Impact factor: 6.831

Review 2.  The emergence of noncoding RNAs as Heracles in autophagy.

Authors:  Jian Zhang; Peiyuan Wang; Lin Wan; Shouping Xu; Da Pang
Journal:  Autophagy       Date:  2017-04-25       Impact factor: 16.016

3.  ATGPred-FL: sequence-based prediction of autophagy proteins with feature representation learning.

Authors:  Shihu Jiao; Zheng Chen; Lichao Zhang; Xun Zhou; Lei Shi
Journal:  Amino Acids       Date:  2022-03-14       Impact factor: 3.520

Review 4.  Autophagy regulates death of retinal pigment epithelium cells in age-related macular degeneration.

Authors:  Kai Kaarniranta; Paulina Tokarz; Ali Koskela; Jussi Paterno; Janusz Blasiak
Journal:  Cell Biol Toxicol       Date:  2016-11-29       Impact factor: 6.691

Review 5.  What We Learned From Big Data for Autophagy Research.

Authors:  Anne-Claire Jacomin; Lejla Gul; Padhmanand Sudhakar; Tamas Korcsmaros; Ioannis P Nezis
Journal:  Front Cell Dev Biol       Date:  2018-08-17
  5 in total

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