1.Dynamic Landscapes of tRNA Transcriptomes and Translatomes in Diverse Mouse Tissues.
Peng YU ; Siting ZHOU ; Yan GAO ; Yu LIANG ; Wenbing GUO ; Dan Ohtan WANG ; Shuaiwen DING ; Shuibin LIN ; Jinkai WANG ; Yixian CUN
Genomics, Proteomics & Bioinformatics 2023;21(4):834-849
Although the function of tRNAs in the translational process is well established, it remains controversial whether tRNA abundance is tightly associated with translational efficiency (TE) in mammals. Moreover, how critically the expression of tRNAs contributes to the establishment of tissue-specific proteomes in mammals has not been well addressed. Here, we measured both tRNA expression using demethylase-tRNA sequencing (DM-tRNA-seq) and TE of mRNAs using ribosome-tagging sequencing (RiboTag-seq) in the brain, heart, and testis of mice. Remarkable variation in the expression of tRNA isodecoders was observed among different tissues. When the statistical effect of isodecoder-grouping on reducing variations is considered through permutating the anticodons, we observed an expected reduction in the variation of anticodon expression across all samples, an unexpected smaller variation of anticodon usage bias, and an unexpected larger variation of tRNA isotype expression at amino acid level. Regardless of whether or not they share the same anticodons, the isodecoders encoding the same amino acids are co-expressed across different tissues. Based on the expression of tRNAs and the TE of mRNAs, we find that the tRNA adaptation index (tAI) and TE are significantly correlated in the same tissues but not between tissues; and tRNA expression and the amino acid composition of translating peptides are positively correlated in the same tissues but not between tissues. We therefore hypothesize that the tissue-specific expression of tRNAs might be due to post-transcriptional mechanisms. This study provides a resource for tRNA and translation studies, as well as novel insights into the dynamics of tRNAs and their roles in translational regulation.
Animals
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Mice
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Anticodon/genetics*
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Transcriptome
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Protein Biosynthesis
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RNA, Transfer/chemistry*
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Amino Acids/metabolism*
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Mammals/metabolism*
2.Optimization of the Technology of Extracting Total Flavonoids from Sophora Japonica by Response Surface Methodology
Xinsheng PENG ; Siting LIANG ; Shenglan SHEN ; Shaotang MAI ; Yanhong HUANG
China Pharmacy 2005;0(21):-
OBJECTIVE: To optimize the technology of extracting total flavonoids from Sophora japonica.METHODS: The extracting technology of total flavonoids (from Sophora japonica) was optimized by response surface methodology(RSM) with ethanol concentration,solid-solvent ratio,extracting temperature,extracting time and extracting times as factors and the yield of total flavonoids as index.RESULTS: The optimal parameters were determined as follows: the ethanol concentration was 60%;the solid-solvent ratio was 1∶10;the extracting was conducted for 1 time(90 min) at 90 ℃.CONCLUSION:The optimized extraction technology was simple and stable and which serves as references for industrial large scale production.

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