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8. Additional file 1: of Skeletal muscle in aged mice reveals extensive transformation of muscle gene expression

Author

I-Hsuan Lin, Junn-Liang Chang, Hua, Kate, Wan-Chen Huang, Ming-Ta Hsu, and Chen, Yi-Fan

Subjects
sense organs, skin and connective tissue diseases
Abstract

Table S1. The expression fold changes of cardiac function-associated genes during aging process. Table S2. The expression fold changes of genes relating to metabolism during aging process. Table S3. The expression fold changes of immune-related genes during aging process. Table S4. The expression fold changes of genes relating to vessel functions during aging process. (DOCX 37 kb)

Published
2018
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10. MicroRNA‑23a/27a/24‑2 cluster promotes gastric cancer cell proliferation synergistically

Author

Hua, Kate, primary, Chen, Yu‑Ting, additional, Chen, Chian‑Feng, additional, Tang, Ya‑Syuan, additional, Huang, Tzu‑Ting, additional, Lin, Yu‑Cheng, additional, Yeh, Tien‑Shun, additional, Huang, Kuo‑Hung, additional, Lee, Hsin‑Chen, additional, Hsu, Ming‑Ta, additional, Chi, Chin‑Wen, additional, Wu, Chew‑Wun, additional, Lin, Chi‑Hung, additional, and Ping, Yueh‑Hsin, additional

Published
2018
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13. Single-cell analysis of castration-resistant prostate cancers to identify potential biomarkers for diagnosis and prognosis of neuroendocrine prostate cancer.

Author

Hong YC, Hu TY, Hsu CS, Yeh WW, Wong WZ, Shen TW, Chang CH, Hua K, Tung CY, Peng YC, Huang WJ, Chang PC, and Lin TP

Abstract

The high heterogeneity and low percentage of neuroendocrine cells in prostate cancer limit the utility of traditional bulk RNA sequencing and even single-cell RNA sequencing to find better biomarkers for early diagnosis and stratification. Re-clustering of specific cell-type holds great promise for identification of intra-cell-type heterogeneity. However, this has not yet been used in studying neuroendocrine prostate cancer heterogeneity. Neuroendocrine cluster(s) were individually identified in each castration-resistant prostate cancer specimen and combined for trajectory analysis. Three neuroendocrine states were identified. Neuroendocrine state 2 with the highest AR score was considered the initial starting state of neuroendocrine transdifferentiation. State 1 and state 3 with distinct high neuroendocrine scores and marker genes enriched in N-Myc and REST target genes, respectively, were considered as two different types of neuroendocrine differentiated cancer cells. These two states contained distinct groups of prostate cancer biomarkers and a strong distinguishing ability of normal versus cancerous prostate across different pathological grading was found in the N-Myc-associated state. Our data highlight the central role of N-Myc and REST in mediating lineage plasticity and classifying neuroendocrine phenotypes., Competing Interests: None., (AJCR Copyright © 2023.)

Published
2023

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