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Articles by Chuyun Chen
Unbiased screen of human transcriptome reveals an unexpected role of 3’UTRs in translation initiation
Abstract Although most eukaryotic mRNAs require a 5ʹ-cap for translation initiation, some can also be translated through a poorly studied cap-independent pathway. Here we develop a circRNA-based system and unbiasedly identify more than 10,000 sequences in the human transcriptome that contain Cap-independent Translation Initiators (CiTIs). Surprisingly, most of the identified CiTIs are located in 3’UTRs, which mainly promote translation initiation in mRNAs bearing highly structured 5’UTR.
Multi-omics identifies a T2DM-associated immune-regulatory network modulated by electroacupuncture
Abstract Background: Recent studies suggest a link between immune-related processes and type 2 diabetes (T2DM), yet the specific genes and mechanisms remain unclear. This study aimed to explore the mechanistic relationship by integrating multi-omics data. Methods: We identified T2DM-associated candidate genes through summary data-based Mendelian Randomization (SMR) and colocalization analyses using immune-related QTL data and large-scale GWAS data.
Association of echocardiographic cardiac valve calcification with major adverse cardiovascular events in patients on acute myocardial infarction
The authors have declared no competing interest. This study was financed by the National Key Research and Development Program of China (2021YFC2500503). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
Analysis of RNA translation with a deep learning architecture provides new insight into translation control
Abstract Accurate annotation of coding regions in RNAs is essential for understanding gene translation. We developed a deep neural network to directly predict and analyze translation initiation and termination sites from RNA sequences. Trained with human transcripts, our model learned hidden rules of translation control and achieved a near perfect prediction of canonical translation sites across entire human transcriptome.
Accurate prediction of RNA translation with a deep learning architecture
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