G
Guoshuai Cai
Researcher at University of South Carolina
Publications - 73
Citations - 2885
Guoshuai Cai is an academic researcher from University of South Carolina. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 17, co-authored 48 publications receiving 2336 citations. Previous affiliations of Guoshuai Cai include Dartmouth College & University of Texas MD Anderson Cancer Center.
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Journal ArticleDOI
miRecords: an integrated resource for microRNA–target interactions
TL;DR: The miRecords as mentioned in this paper database contains 1135 records of validated miRNA-target interactions between 301 miRNAs and 902 target genes in seven animal species in seven species.
Journal ArticleDOI
Tobacco Smoking Increases the Lung Gene Expression of ACE2, the Receptor of SARS-CoV-2.
TL;DR: It is imperative to identify potential risk factors, such as cigarette smoking, which is a substantial risk factor for various important bacterial and viral infections, to enable effective prevention and care in the current severe global emergency.
Journal ArticleDOI
Long Non Coding RNA MALAT1 Promotes Tumor Growth and Metastasis by Inducing Epithelial-Mesenchymal Transition in Oral Squamous Cell Carcinoma
Xuan Zhou,Su Liu,Guoshuai Cai,Lingping Kong,Tingting Zhang,Yu Ren,Yansheng Wu,Mei Mei,Lun Zhang,Xudong Wang +9 more
TL;DR: It is found that MALAT1 is overexpressed in OSCC tissues compared to normal oral mucosa by real-time PCR, and mechanistic insight is provided into the role of MALat1 in regulating OSCC metastasis, suggesting that Malat1 is an important prognostic factor and therapeutic target for OSCC.
Posted ContentDOI
Bulk and single-cell transcriptomics identify tobacco-use disparity in lung gene expression of ACE2, the receptor of 2019-nCov
TL;DR: This study analyzed four large-scale bulk transcriptomic datasets of normal lung tissue and two single-cell transcriptomic dataset to investigate the disparities related to race, age, gender and smoking status in ACE2 gene expression and its distribution among cell types.
Journal ArticleDOI
Multiomics Evaluation of Gastrointestinal and Other Clinical Characteristics of COVID-19.
TL;DR: In this article, the authors performed an integrated omics analysis at the genome, transcriptome, and proteome levels in bulk tissues and single cells across species to decipher the potential routes for SARS-CoV-2 infection in depth.