Výsledky vyhledávání - "epigenetic network"

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Neuronal Lhx1 expression is regulated by DNMT1-dependent modulation of histone marks

Autor: Judit Symmank, Cathrin Bayer, Julia Reichard, Daniel Pensold, Geraldine Zimmer-Bensch

Publikováno v: Epigenetics, Vol 15, Iss 11, Pp 1259-1274 (2020)

Apart from the conventional view of repressive promoter methylation, the DNA methyltransferase 1 (DNMT1) was recently described to modulate gene expression through a variety of interactions with diverse epigenetic key players. We here investigated th

Externí odkaz: https://doaj.org/article/5cfafd3b3e4d43fcbae83ce178948e3e

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Investigation of the Genome-Wide Genetic and Epigenetic Networks for Drug Discovery Based on Systems Biology Approaches in Colorectal Cancer

Autor: Shan-Ju Yeh, Shuo-Wei Chen, Bor-Sen Chen

Publikováno v: Frontiers in Genetics, Vol 11 (2020)

Colorectal cancer (CRC) is the third most commonly diagnosed type of cancer worldwide. The mechanisms leading to the progression of CRC are involved in both genetic and epigenetic regulations. In this study, we applied systems biology methods to iden

Externí odkaz: https://doaj.org/article/8c4709266f1d4f589f09009714f7714f

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Multiple-Molecule Drug Design Based on Systems Biology Approaches and Deep Neural Network to Mitigate Human Skin Aging

Autor: Shan-Ju Yeh, Jin-Fu Lin, Bor-Sen Chen

Publikováno v: Molecules, Vol 26, Iss 11, p 3178 (2021)

Human skin aging is affected by various biological signaling pathways, microenvironment factors and epigenetic regulations. With the increasing demand for cosmetics and pharmaceuticals to prevent or reverse skin aging year by year, designing multiple

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Investigating Core Signaling Pathways of Hepatitis B Virus Pathogenesis for Biomarkers Identification and Drug Discovery via Systems Biology and Deep Learning Method

Autor: Shen Chang, Lily Hui-Ching Wang, Bor-Sen Chen

Publikováno v: Biomedicines, Vol 8, Iss 9, p 320 (2020)

Hepatitis B Virus (HBV) infection is a major cause of morbidity and mortality worldwide. However, poor understanding of its pathogenesis often gives rise to intractable immune escape and prognosis recurrence. Thus, a valid systematic approach based o

Externí odkaz: https://doaj.org/article/dfe7e129d1814194a22f75eafae1303f

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Investigating Common Pathogenic Mechanisms between Homo sapiens and Different Strains of Candida albicans for Drug Design: Systems Biology Approach via Two-Sided NGS Data Identification

Autor: Shan-Ju Yeh, Chun-Chieh Yeh, Chung-Yu Lan, Bor-Sen Chen

Publikováno v: Toxins, Vol 11, Iss 2, p 119 (2019)

Candida albicans (C. albicans) is the most prevalent fungal species. Although it is a healthy microbiota, genetic and epigenetic alterations in host and pathogen, and microenvironment changes would lead to thrush, vaginal yeast infection, and even he

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Systems Medicine Design for Triple-Negative Breast Cancer and Non-Triple-Negative Breast Cancer Based on Systems Identification and Carcinogenic Mechanisms

Autor: Bo-Jie Hsu, Shan-Ju Yeh, Bor-Sen Chen

Publikováno v: International Journal of Molecular Sciences
Volume 22
Issue 6
International Journal of Molecular Sciences, Vol 22, Iss 3083, p 3083 (2021)

Triple-negative breast cancer (TNBC) is a heterogeneous subtype of breast cancers with poor prognosis. The etiology of triple-negative breast cancer (TNBC) is involved in various biological signal cascades and multifactorial aberrations of genetic, e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29b22ce8dc2278868087eb1d0696a4ac

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Comparing progression molecular mechanisms between lung adenocarcinoma and lung squamous cell carcinoma based on genetic and epigenetic networks: big data mining and genome-wide systems identification

Autor: Bor-Sen Chen, Cheng-Wei Li, Chien-An Chang, Lily Hui-Ching Wang, Shan-Ju Yeh

Publikováno v: Oncotarget

Non-small-cell lung cancer (NSCLC) is the predominant type of lung cancer in the world. Lung adenocarcinoma (LADC) and lung squamous cell carcinoma (LSCC) are subtypes of NSCLC. We usually regard them as different disease due to their unique molecula

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94844b645191b15776957c219ce90286
https://doi.org/10.18632/oncotarget.26940

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Identifying Drug Targets of Oral Squamous Cell Carcinoma through a Systems Biology Method and Genome-Wide Microarray Data for Drug Discovery by Deep Learning and Drug Design Specifications

Autor: Yi-Chung, Lin, Bor-Sen, Chen

Publikováno v: International Journal of Molecular Sciences; Volume 23; Issue 18; Pages: 10409

In this study, we provide a systems biology method to investigate the carcinogenic mechanism of oral squamous cell carcinoma (OSCC) in order to identify some important biomarkers as drug targets. Further, a systematic drug discovery method with a dee

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a263a905517f8a6f8d34a4839d79294
https://doi.org/10.3390/ijms231810409

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