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On June 13, 2021, the authoritative international proteomics journal " Molecular & Cellular Proteomics " published an online publication by the research team of Yang Fuquan of the Institute of Biophysics of the Chinese Academy of Sciences and the team of Academician Chen Runsheng on the long-chain non-coding RNA (lncRNA) encoding polypeptide.
lncRNAs are generally considered to be a type of non-coding RNAs transcripts that are greater than 200 bases in length and do not encode proteins
At present, the large-scale discovery and identification of SEPs still face many challenges, which are mainly reflected in the following aspects: 1) lncRNA is relatively poorly conserved among species, and has tissue specificity and spatiotemporal specificity, making lncRNA encode polypeptides The tissue and spatio-temporal expression of lncRNA is very dynamic; 2) As the number of SEPs currently discovered and identified is still relatively limited, it is difficult to determine the biological characteristics of lncRNA-encoded peptides, such as sequence information, conservation, and chemical properties (such as RNA and peptides).
In response to the above limitations and challenges, Fuquan Yang’s research group and Academician Chen Runsheng’s research group collaborated to systematically mine the smORF in the lncRNA transcripts of humans and mice in the NONCODE database, and constructed human and human resources with 3.
Systematic discovery and identification of lncRNA-encoded peptides (SEPs) based on biological mass spectrometry
Using this technology platform, the research team has achieved the following research results: 1) Discovered and identified 762 highly reliable tumor cell lines from 8 human tumor cell lines, 3 mouse cell lines, and 8 healthy mouse tissues.
This work was funded by the National Natural Science Foundation of China's major research project "Non-coding RNA Regulation Mechanism in the Process of Gene Information Transmission" cultivation project and the Ministry of Science and Technology Key Research and Development Program
Article link: https://#secsectitle0035
(Contribution: Yang Fuquan Research Group)
