User profiles for Wenjie Shu

Wenjie Shu

Beijing Institute of Radiation Medicine
Verified email at bmi.ac.cn
Cited by 2028

Deep learning and its applications in biomedicine

C Cao, F Liu, H Tan, D Song, W Shu… - Genomics …, 2018 - academic.oup.com
Advances in biological and medical technologies have been providing us explosive volumes
of biological and physiological data, such as medical images, electroencephalography, …

[HTML][HTML] Comprehensive identification and annotation of cell type-specific and ubiquitous CTCF-binding sites in the human genome

H Chen, Y Tian, W Shu, X Bo, S Wang - PloS one, 2012 - journals.plos.org
Chromatin insulators are DNA elements that regulate the level of gene expression either by
preventing gene silencing through the maintenance of heterochromatin boundaries or by …

BiRen: predicting enhancers with a deep-learning-based model using the DNA sequence alone

…, F Liu, C Ren, Z Ouyang, Z Xie, X Bo, W Shu - …, 2017 - academic.oup.com
Motivation Enhancer elements are noncoding stretches of DNA that play key roles in
controlling gene expression programmes. Despite major efforts to develop accurate enhancer …

Embryonic defects induced by maternal obesity in mice derive from Stella insufficiency in oocytes

…, J Ge, H Wang, YL Miao, X Guo, KH Moley, W Shu… - Nature Genetics, 2018 - nature.com
Maternal obesity can impair embryo development and offspring health, yet the mechanisms
responsible remain poorly understood. In a high-fat diet (HFD)-based female mouse model …

[HTML][HTML] PEDLA: predicting enhancers with a deep learning-based algorithmic framework

F Liu, H Li, C Ren, X Bo, W Shu - Scientific reports, 2016 - nature.com
Transcriptional enhancers are non-coding segments of DNA that play a central role in the
spatiotemporal regulation of gene expression programs. However, systematically and …

METTL3-mediated m6A is required for murine oocyte maturation and maternal-to-zygotic transition

…, Y Hu, C Ren, Q Cao, S Zhou, Y Cao, M Li, W Shu… - Cell Cycle, 2020 - Taylor & Francis
N 6 -methyladenosine (m 6 A) is the most prevalent epigenetic modification of messenger
RNA (mRNA) in higher eukaryotes; this modification is mainly catalyzed by a …

Oocyte competence is maintained by m6A methyltransferase KIAA1429-mediated RNA metabolism during mouse follicular development

…, Q Lu, S Zhou, L Liu, L Liu, B Shen, W Shu… - Cell Death & …, 2020 - nature.com
KIAA1429 (also known as vir-like m 6 A methyltransferase-associated protein (VIRMA)), a
newly identified component of the RNA m 6 A methyltransferase complex, plays critical roles in …

[PDF][PDF] Characterization of metabolic patterns in mouse oocytes during meiotic maturation

L Li, S Zhu, W Shu, Y Guo, Y Guan, J Zeng, H Wang… - Molecular cell, 2020 - cell.com
Well-balanced and timed metabolism is essential for making a high-quality egg. However,
the metabolic framework that supports oocyte development remains poorly understood. Here, …

A methylation-phosphorylation switch determines Plk1 kinase activity and function in DNA damage repair

…, X Zhao, H Duan, B Cheng, Y Liu, M Zhao, W Shu… - Science …, 2019 - science.org
Polo-like kinase 1 (Plk1) is a crucial regulator of cell cycle progression; but the mechanism
of regulation of Plk1 activity is not well understood. We present evidence that Plk1 activity is …

De novo identification of replication-timing domains in the human genome by deep learning

F Liu, C Ren, H Li, P Zhou, X Bo, W Shu - Bioinformatics, 2016 - academic.oup.com
Motivation: The de novo identification of the initiation and termination zones—regions that
replicate earlier or later than their upstream and downstream neighbours, respectively—…