Expanding tunable selection in yeast using auxotrophic markers URA3 and TRP1
This paper converts traditional binary auxotrophic markers into tunable selection tools in yeast, enabling quantitative analysis of gene expression through growth outcomes.
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Tsinghua Shenzhen International Graduate SchoolORCID 0000-0003-3249-030XUnclaimed ORCID profile · follow to get notified of new preprints
5 papers
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This paper converts traditional binary auxotrophic markers into tunable selection tools in yeast, enabling quantitative analysis of gene expression through growth outcomes.
Xuefang Gu, Dexin Shen, Xing Quan, Tatsuhisa Tsuboi
The paper investigates how cell size affects P-body assembly in yeast, finding a nucleation distance of 2.2 micrometers that links cell geometry to condensate formation.
Dexin Shen, Qionghua Zhu, Xiquan Pang…·Tatsuhisa Tsuboi
PB-scope uses deep learning to analyze PB dynamics and identifies drugs affecting JAK signaling pathway.
Abdul Haseeb Khan, Xuefang Gu, Rutvik J. Patel…·Tatsuhisa Tsuboi
This study shows that mitochondrial fragmentation increases protein expression noise due to stochastic co-translational targeting, and that fission-fusion processes reduce this heterogeneity.
Taisei Wakigawa, Yusuke Kimura, Mari Mito…·Shintaro Iwasaki
The paper shows that gravity and mechanical forces influence mitochondrial translation by affecting signaling pathways and malonylation of the translational machinery.