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On April 6, the International Journal of Bioinformatics published online the latest research advances of Feng Yinggroup of the Shanghai Institute of Life Sciences (in the field of population health) of the Chinese Academy of Sciences and Wu Wenwu, a professor at Zhejiang Agricultural and Foraging University, and Dr. Zong Jie of Shanghai Lebing Biotech Co., Ltd., CASH: a constructing comprehensive spling site method for detecting alternative splicing events.
the study developed the pre-mRNA variable shear analysis software CASH (Comprehensive Alternative Splicing Hunting) and used the software to study the conservative and evolution of the shear protein SRSF10's shear regulation patterns in different species. the discovery of
pre-mRNA variable shear events is a prerequisite for the study of variable shearing, while genome annotations (including the most important pattern organisms such as humans, athropomorthic mustard, etc.) have inaccurate or uncommented variable shear events;
Based on previous research (Zhou X, Wu W*et al, 2014, NAR), Dr. Wu Wenwu and Dr. Zong Jie, etc., developed the variable shear analysis software CASH, which uses high-volume transcription group data to directly construct variable shear events based on clipping points, thus revealing variable clipping events with differential expression between samples;
Based on the pre-mRNA variable shear analysis software CASH, the variable shear regulation of the shear factor SRSF10 was further studied, and it was found that the genes regulated by SRSF10 were less conservative among different species, but the shearing effect of the sRSF10 binding bit sequence and its regulation was highly conservative among species.
CASH software in this study can facilitate the discovery of variable shears by other researchers and provide the necessary support for further functional research on variable shears, and the variable shear regulation studies involving the shear factor SRSF10 can help to gain insight into the molecular mechanism processes in which variable shears occur.
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