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26 results on '"Tu, Siang-Jyun"'

10. Whole exome sequencing identifies MAP3K1, MSH2, and MLH1 as potential cancer‐predisposing genes in familial early‐onset colorectal cancer.

Author

Fatemi, Nayeralsadat, Tu, Siang‐Jyun, Chung, Chin‐Chun, Moghadam, Pardis Ketabi, Mojarad, Ehsan Nazemalhosseini, Sadeghi, Amir, Totonchi, Mehdi, Aghdaei, Hamid Asadzadeh, and Chang, Jan‐Gowth

Subjects
COLORECTAL cancer, GENETIC variation, GENES, FUNCTIONAL analysis, SEQUENCE analysis, HEREDITARY nonpolyposis colorectal cancer
Abstract

The incidence of early‐onset colorectal cancer (CRC), which affects people under 50, is increasing for unknown reasons. Additionally, no underlying genetic cause is found in 20%–30% of patients suspected of having familial CRC syndrome. Whole exome sequencing (WES) has generated evidence for new genes associated with CRC susceptibility, but many patients remain undiagnosed. This study applied WES in five early‐onset CRC patients from three unrelated families to identify novel genetic variants that could be linked to rapid disease development. Furthermore, the candidate variants were validated using Sanger sequencing. Two heterozygote variations, c.1077‐2A>G and c.199G>A, were found in the MSH2 and the MLH1 genes, respectively. Sanger sequencing analysis confirmed that these (likely) pathogenic mutations segregated in all the affected families' members. In addition, we identified a rare heterozygote variant (c.175C>T) with suspected pathogenic potential in the MAP3K1 gene; formally the variant is of uncertain significance (VUS). Our findings support the hypothesis that CRC onset may be oligogenic and molecularly heterogeneous. Larger and more robust studies are needed to understand the genetic basis of early‐onset CRC development, combined with novel functional analyses and omics approaches. [ABSTRACT FROM AUTHOR]

Published
2023
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11. Integrated genomic analyses of hepatocellular carcinoma

Author

Chang, Ya-Sian, primary, Tu, Siang-Jyun, additional, Chen, Hong-Da, additional, Hsu, Ming-Hon, additional, Chen, Yu-Chia, additional, Chao, Dy-San, additional, Chung, Chin-Chun, additional, Chou, Yu-Pao, additional, Chang, Chieh-Min, additional, Lee, Ya-Ting, additional, Yen, Ju-Chen, additional, Jeng, Long-Bin, additional, and Chang, Jan-Gowth, additional

Published
2022
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12. Whole exome sequencing identifies MAP3K1, MSH2, and MLH1as potential cancer‐predisposing genes in familial early‐onset colorectal cancer

Author

Fatemi, Nayeralsadat, Tu, Siang‐Jyun, Chung, Chin‐Chun, Moghadam, Pardis Ketabi, Mojarad, Ehsan Nazemalhosseini, Sadeghi, Amir, Totonchi, Mehdi, Aghdaei, Hamid Asadzadeh, and Chang, Jan‐Gowth

Abstract

The incidence of early‐onset colorectal cancer (CRC), which affects people under 50, is increasing for unknown reasons. Additionally, no underlying genetic cause is found in 20%–30% of patients suspected of having familial CRC syndrome. Whole exome sequencing (WES) has generated evidence for new genes associated with CRC susceptibility, but many patients remain undiagnosed. This study applied WES in five early‐onset CRC patients from three unrelated families to identify novel genetic variants that could be linked to rapid disease development. Furthermore, the candidate variants were validated using Sanger sequencing. Two heterozygote variations, c.1077‐2A>G and c.199G>A, were found in the MSH2and the MLH1genes, respectively. Sanger sequencing analysis confirmed that these (likely) pathogenic mutations segregated in all the affected families' members. In addition, we identified a rare heterozygote variant (c.175C>T) with suspected pathogenic potential in the MAP3K1gene; formally the variant is of uncertain significance (VUS). Our findings support the hypothesis that CRC onset may be oligogenic and molecularly heterogeneous. Larger and more robust studies are needed to understand the genetic basis of early‐onset CRC development, combined with novel functional analyses and omics approaches.

Published
2023
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13. Enterotype-based Analysis of Gut Microbiota along the Conventional Adenoma-Carcinoma Colorectal Cancer Pathway

Author

Yang, Tzu-Wei, Lee, Wei-Hsiang, Tu, Siang-Jyun, Huang, Wei-Chih, Chen, Hui-Mei, Sun, Ting-Hsuan, Tsai, Ming-Chang, Wang, Chi-Chih, Chen, Hsuan-Yi, Huang, Chi-Chou, Shiu, Bei-Hao, Yang, Tzu-Ling, Huang, Hsin-Tzu, Chou, Yu-Pao, Chou, Chih-Hung, Huang, Ya-Rong, Sun, Yi-Run, Liang, Chao, Lin, Feng-Mao, Ho, Shinn-Ying, Chen, Wen-Liang, Yang, Shun-Fa, Ueng, Kwo-Chang, Huang, Hsien-Da, Huang, Chien-Ning, Jong, Yuh-Jyh, and Lin, Chun-Che

Published
2019
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20. Genomic Biomarkers of Survival in Patients with Adenocarcinoma of the Uterine Cervix Receiving Chemoradiotherapy

Author

Lin, Ying-Chun, primary, Chen, Yu-Chia, additional, Chen, Rui-Yun, additional, Huang, Yi-Xuan, additional, Tu, Siang-Jyun, additional, Liang, Ji-An, additional, Hung, Yao-Ching, additional, Yeh, Lian-Shung, additional, Chang, Wei-Chun, additional, Lin, Wu-Chou, additional, Chang, Yin-Yi, additional, Chen, Shang-Wen, additional, and Chang, Jan-Gowth, additional

Published
2020
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22. miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions

Author

Chou, Chih-Hung, primary, Shrestha, Sirjana, additional, Yang, Chi-Dung, additional, Chang, Nai-Wen, additional, Lin, Yu-Ling, additional, Liao, Kuang-Wen, additional, Huang, Wei-Chi, additional, Sun, Ting-Hsuan, additional, Tu, Siang-Jyun, additional, Lee, Wei-Hsiang, additional, Chiew, Men-Yee, additional, Tai, Chun-San, additional, Wei, Ting-Yen, additional, Tsai, Tzi-Ren, additional, Huang, Hsin-Tzu, additional, Wang, Chung-Yu, additional, Wu, Hsin-Yi, additional, Ho, Shu-Yi, additional, Chen, Pin-Rong, additional, Chuang, Cheng-Hsun, additional, Hsieh, Pei-Jung, additional, Wu, Yi-Shin, additional, Chen, Wen-Liang, additional, Li, Meng-Ju, additional, Wu, Yu-Chun, additional, Huang, Xin-Yi, additional, Ng, Fung Ling, additional, Buddhakosai, Waradee, additional, Huang, Pei-Chun, additional, Lan, Kuan-Chun, additional, Huang, Chia-Yen, additional, Weng, Shun-Long, additional, Cheng, Yeong-Nan, additional, Liang, Chao, additional, Hsu, Wen-Lian, additional, and Huang, Hsien-Da, additional

Published
2017
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23. Haptoglobin expression correlates with tumor differentiation and five-year overall survival rate in hepatocellular carcinoma

Author

Tai, Chun-San, primary, Lin, Yan-Ren, additional, Teng, Tsung-Han, additional, Lin, Ping-Yi, additional, Tu, Siang-Jyun, additional, Chou, Chih-Hung, additional, Huang, Ya-Rong, additional, Huang, Wei-Chih, additional, Weng, Shun-Long, additional, Huang, Hsien-Da, additional, Chen, Yao-Li, additional, and Chen, Wen Liang, additional

Published
2017
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24. miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database

Author

Chou, Chih-Hung, primary, Chang, Nai-Wen, additional, Shrestha, Sirjana, additional, Hsu, Sheng-Da, additional, Lin, Yu-Ling, additional, Lee, Wei-Hsiang, additional, Yang, Chi-Dung, additional, Hong, Hsiao-Chin, additional, Wei, Ting-Yen, additional, Tu, Siang-Jyun, additional, Tsai, Tzi-Ren, additional, Ho, Shu-Yi, additional, Jian, Ting-Yan, additional, Wu, Hsin-Yi, additional, Chen, Pin-Rong, additional, Lin, Nai-Chieh, additional, Huang, Hsin-Tzu, additional, Yang, Tzu-Ling, additional, Pai, Chung-Yuan, additional, Tai, Chun-San, additional, Chen, Wen-Liang, additional, Huang, Chia-Yen, additional, Liu, Chun-Chi, additional, Weng, Shun-Long, additional, Liao, Kuang-Wen, additional, Hsu, Wen-Lian, additional, and Huang, Hsien-Da, additional

Published
2015
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26. miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database.

Author

Chou CH, Chang NW, Shrestha S, Hsu SD, Lin YL, Lee WH, Yang CD, Hong HC, Wei TY, Tu SJ, Tsai TR, Ho SY, Jian TY, Wu HY, Chen PR, Lin NC, Huang HT, Yang TL, Pai CY, Tai CS, Chen WL, Huang CY, Liu CC, Weng SL, Liao KW, Hsu WL, and Huang HD

Subjects
Disease genetics, Gene Expression Profiling, Humans, RNA, Messenger chemistry, Sequence Analysis, RNA, Databases, Nucleic Acid, MicroRNAs metabolism, RNA, Messenger metabolism
Abstract

MicroRNAs (miRNAs) are small non-coding RNAs of approximately 22 nucleotides, which negatively regulate the gene expression at the post-transcriptional level. This study describes an update of the miRTarBase (http://miRTarBase.mbc.nctu.edu.tw/) that provides information about experimentally validated miRNA-target interactions (MTIs). The latest update of the miRTarBase expanded it to identify systematically Argonaute-miRNA-RNA interactions from 138 crosslinking and immunoprecipitation sequencing (CLIP-seq) data sets that were generated by 21 independent studies. The database contains 4966 articles, 7439 strongly validated MTIs (using reporter assays or western blots) and 348 007 MTIs from CLIP-seq. The number of MTIs in the miRTarBase has increased around 7-fold since the 2014 miRTarBase update. The miRNA and gene expression profiles from The Cancer Genome Atlas (TCGA) are integrated to provide an effective overview of this exponential growth in the miRNA experimental data. These improvements make the miRTarBase one of the more comprehensively annotated, experimentally validated miRNA-target interactions databases and motivate additional miRNA research efforts., (© The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Published
2016
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