Shu-Chuan Lee

Dr. Shu-Chuan Lee

Institute of Plant and Microbial Biology, Academia Sinica, Taipei, 11529, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 April 2011 in Journal of Cell Biology
Verified
Journal Article
Open access
CWChih-Hang Wu
Chih-Hang Wu
SLShu-Chuan Lee
Shu-Chuan Lee
CWChao-Wen Wang
Chao-Wen Wang
Many plant RNA viruses use their nonstructural proteins to target and move through the cortical endoplasmic reticulum (ER) tubules within the plant intercellular junction for cell-to-cell spreading. Most of these proteins, including the triple-gene-block 3 protein (TGBp3) of Potexvirus, are ER membrane proteins. We previously showed that TGBp3 of the Bamboo mosaic potexvirus partitions into tubular subdomains of the ER in both yeast and plants, but the mechanism and physiological significance of this localization is unclear. Here, we demonstrate that a sorting signal present in TGBp3 is necessary and sufficient for its oligomerization and for targeting integral membrane proteins into puncta within curved ER tubules. Mutations in the TGBp3 sorting signal impair viral spread, and plants infected with viruses harboring these mutants were either asymptomatic or had reduced symptoms. Thus, we propose that Potexvirus use the sorting signal in TGBp3 to target infectious viral derivatives to cortical ER tubules for transmission through the intercellular junctions in plants.

1 January 2012 in Journal of Cell Science
Verified
Journal Article
Closed access
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CWChao-Wen Wang
Chao-Wen Wang
SLShu-Chuan Lee
Shu-Chuan Lee
Lipid droplets (LDs) are central organelles for maintaining lipid homeostasis. However, how cells control the size and number of LDs remains largely unknown. Herein, we report that Ubx2, a UBX-domain-containing protein involved in endoplasmic reticulum (ER)-associated degradation (ERAD), is crucial for LD maintenance. Ubx2 redistributes from ER to LDs when LDs start to form and enlarge during diauxic shift and in the stationary phase. ubx2Δ cells contain abnormal number and reduced size of LDs and their triacylglycerol (TAG) is reduced to 50% of the normal level. Deletion of either UBX or UBA domain in Ubx2 has no effect, but deletion of both causes LD phenotypes similar to that in ubx2Δ. The reduced TAG in ubx2Δ is likely due to mislocalization of Lro1, one of the two TAG-synthesizing enzymes in yeast, which moves along the ER and distributes dynamically to the putative LD assembly sites abutting LDs. Thus, Ubx2 is important for the maintenance of cellular TAG homeostasis likely through Lro1. The mammalian Ubxd8 expressed in yeast complements the defect of ubx2Δ, implying a functional conservation for these UBX-domain-containing proteins in lipid homeostasis.

4 October 2016 in The Plant Cell
Verified
Journal Article
Open access
PDF file
CCChih-Hao Chang
Chih-Hao Chang
FHFu-Chen Hsu
Fu-Chen Hsu
SLShu-Chuan Lee
Shu-Chuan Lee
YLYih-Shan Lo
Yih-Shan Lo
JWJiun-Da Wang
Jiun-Da Wang
NLNa-Sheng Lin
Na-Sheng Lin
Bamboo mosaic virus satellite RNA can move autonomously in a fibrillarin-dependent manner in the absence of its helper virus in Nicotiana benthamiana.


9 November 2017 in Bioinformatics
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Journal Article
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KTKuan-Chieh Tseng
Kuan-Chieh Tseng
YCYi-Fan Chiang-Hsieh
Yi-Fan Chiang-Hsieh
HPHsuan Pai
Hsuan Pai
CCChi-Nga Chow
Chi-Nga Chow
SLShu-Chuan Lee
Shu-Chuan Lee
Wen-Chi ChangWen-Chi Chang
Wen-Chi Chang
MicroRNAs (miRNAs) are endogenous non-coding small RNAs (of about 22 nucleotides), which play an important role in the post-transcriptional regulation of gene expression via either mRNA cleavage or translation inhibition. Several machine learning-based approaches have been developed to identify novel miRNAs from next generation sequencing (NGS) data. Typically, precursor/genomic sequences are required as references for most methods. However, the non-availability of genomic sequences is often a limitation in miRNA discovery in non-model plants. A systematic approach to determine novel miRNAs without reference sequences is thus necessary. In this study, an effective method was developed to identify miRNAs from non-model plants based only on NGS datasets. The miRNA prediction model was trained with several duplex structure-related features of mature miRNAs and their passenger strands using a support vector machine algorithm. The accuracy of the independent test reached 96.61% and 93.04% for dicots (Arabidopsis) and monocots (rice), respectively. Furthermore, true small RNA sequencing data from orchids was tested in this study. Twenty-one predicted orchid miRNAs were selected and experimentally validated. Significantly, 18 of them were confirmed in the qRT-PCR experiment. This novel approach was also compiled as a user-friendly program called microRPM (miRNA Prediction Model). This resource is freely available at http://microRPM.itps.ncku.edu.tw. nslin@sinica.edu.tw or sarah321@mail.ncku.edu.tw Supplementary data are available at Bioinformatics online.