Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization
BMC MEDICAL INFORMATICS AND DECISION MAKING
Authors: Wang, Charles C. N.; Jin, Jennifer; Chang, Jan-Gowth; Hayakawa, Masahiro; Kitazawa, Atsushi; Tsai, Jeffrey J. P.; Sheu, Phillip C. -Y.
Abstract
Background Gastrointestinal (GI) cancer including colorectal cancer, gastric cancer, pancreatic cancer, etc., are among the most frequent malignancies diagnosed annually and represent a major public health problem worldwide. Methods This paper reports an aided curation pipeline to identify potential influential genes for gastrointestinal cancer. The curation pipeline integrates biomedical literature to identify named entities by Bi-LSTM-CNN-CRF methods. The entities and their associations can be used to construct a graph, and from which we can compute the sets of co-occurring genes that are the most influential based on an influence maximization algorithm. Results The sets of co-occurring genes that are the most influential that we discover include RARA - CRBP1, CASP3 - BCL2, BCL2 - CASP3 - CRBP1, RARA - CASP3 - CRBP1, FOXJ1 - RASSF3 - ESR1, FOXJ1 - RASSF1A - ESR1, FOXJ1 - RASSF1A - TNFAIP8 - ESR1. With TCGA and functional and pathway enrichment analysis, we prove the proposed approach works well in the context of gastrointestinal cancer. Conclusions Our pipeline that uses text mining to identify objects and relationships to construct a graph and uses graph-based influence maximization to discover the most influential co-occurring genes presents a viable direction to assist knowledge discovery for clinical applications.
Long noncoding RNA UCA1 from hypoxia-conditioned hMSC-derived exosomes: a novel molecular target for cardioprotection through miR-873-5p/XIAP axis
CELL DEATH & DISEASE
Authors: Sun, Ling; Zhu, Wenwu; Zhao, Pengcheng; Wang, Qingjie; Fan, Baohan; Zhu, Yeqian; Lu, Yao; Chen, Qiushi; Zhang, Jian; Zhang, Fengxiang
Abstract
Exosomes (Exo) secreted from mesenchymal stem cells (hMSCs) are protective against myocardial injury. The purpose of the study was to investigate the role and mechanisms by which exosomes promote cardiomyocyte survival and function following myocardial infarction (MI). hMSCs were cultured under hypoxic and normoxic conditions. Hypoxia-conditioned hMSC-derived exosomes (Hypo-Exo) and normoxic-conditioned hMSC-derived exosomes (Nor-Exo) were collected and intramyocardially injected into rats with MI. The therapeutic effects of Hypo-Exo and Nor-Exo were evaluated after 4 weeks. Quantitative real-time PCR (qRT-PCR) was used to detect the expression of candidate long noncoding RNA urothelial carcinoma associated 1 (lncRNA-UCA1) in Nor-Exo and Hypo-Exo. Intramyocardial injection of lncRNA-UCA1-knockdown-Hypo-Exo in a rat model of MI was then performed and the cardiac function was characterized. The target and downstream of the molecular mechanism lncRNA-UCA1 was disclosed by luciferase reporter assays and western blot. Circulating exosomal lncRNA-UCA1 level in AMI patients and healthy volunteers was assessed. We found that (1) hMSC exosomal (from hypoxic and normoxic conditions) cardioprotection in vitro and in vivo correlated with the presence of encapsulated lncRNA-UCA1 in exosomes; (2) lncRNA-UCA1 targeted miR-873 via sponging, reducing the latter's suppressive effects on its target XIAP, and this translated into AMPK phosphorylation and increased level of the antiapoptotic protein BCL2; and (3) plasma derived from patients with AMI contained exosomes enriched with the lncRNA-UCA1, unlike that from normal subjects. This study demonstrates that Hypo-Exo lncRNA-UCA1 plays a cardioprotective role via the miR-873-5p/XIAP axis and circulating exosomal lncRNA-UCA1 may be a promising novel biomarker for the diagnosis of AMI.