Results 131 to 140 of about 752,944 (283)

Dosage Sensing, Threshold Responses, and Epigenetic Memory: A Systems Biology Perspective on Random X‐Chromosome Inactivation

, 2020
X‐chromosome inactivation ensures dosage compensation between the sexes in mammals by randomly choosing one out of the two X chromosomes in females for inactivation.
Barr M. L., Comings D. E., Delbrück M., Rastan S., Rosspopoff O.   +4 more
core   +1 more source

Extracting LncRNA-protein Interactions from Literature Using a Text Feature-based Approach

IFAC-PapersOnLine, 2015
Abstract Long non-coding RNAs (lncRNAs) play important roles in regulating transcriptional and posttranscriptional levels. Knowledge of lncRNA-protein interactions (LPIs) is crucial for biologists to explain biological mechanism and guide experiments.
Qiguang Zang, Dongdong Sun, Huanqing Feng, Ao Li   +3 more
openaire   +1 more source

PIK3CA Mutations Downregulate PPT1 to Promote Adipogenesis by Suppressing P300 Depalmitoylation and Phase Separation

Advanced Science, EarlyView.
This study demonstrates that somatic PIK3CA mutations suppress PPT1 expression via activation of the PI3K–AKT–c‐JUN axis. This reduction in PPT1 weakens its interaction with P300, thereby increasing palmitoylation at C1176 of P300 and protecting P300 from lysosomal degradation.
Hongrui Chen, Zening Huang, Rui Chang, Wei Gao, Yajing Qiu, Bin Sun, Chen Hua, Xiaoxi Lin   +7 more
wiley   +1 more source

Protocol for detecting lncRNA-protein interactions in vitro by tRSA RNA pull-down assay

STAR Protocols
Summary: Long non-coding RNAs (lncRNAs) work together with diverse RNA-binding proteins (RBPs) to fulfill key regulations in important cellular functions.
Liyun Jiang, Jun Yang, Reqing He, Youlin Zhu, Dong Wang   +4 more
doaj   +1 more source

Fusion of multi-source relationships and topology to infer lncRNA-protein interactions

Molecular Therapy - Nucleic Acids
Long non-coding RNAs (lncRNAs) are important factors involved in biological regulatory networks. Accurately predicting lncRNA-protein interactions (LPIs) is vital for clarifying lncRNA's functions and pathogenic mechanisms. Existing deep learning models have yet to yield satisfactory results in LPI prediction.
Xinyu Zhang, Mingzhe Liu, Zhen Li, Linlin Zhuo, Xiangzheng Fu, Quan Zou   +5 more
openaire   +3 more sources

Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs

Advanced Science, EarlyView.
Integrated multi‐omics across pig breeds and tissues reveals key principles of post‐transcriptional translational regulation and their contribution to trait formation. A gene network framework integrating transcriptomic and translatomic data is developed and applied to elucidate the genetic basis of meat production, offering new insights into mammalian
Chao Wang, Yuanyuan Zhang, Choulin Chen, Xiaoxian Xu, Shenghua Qin, Junyan Qi, Yongzhou Bao, Huiming Li, Ruipu Chen, Weigang Zheng, Zhilong Chen, Lingzhao Fang, Yunxiang Zhao, Yuwen Liu   +13 more
wiley   +1 more source

Regulation of angiogenesis in cerebral ischemic rats through ceRNA networks and its impact on cerebral ischemic stroke prognosis

Brain Research Bulletin
Background: Cerebral ischemic stroke (CIS) represents a major cerebrovascular disorder characterized by high incidence and disability rates, significantly compromising patient quality of life and survival.
Wenfeng Cao, Mingyue Wang, Wen Chai, Chaoqun Luo, Yanmei Wang, Xinhua Zhou, Jie Li, Lingjuan Li   +7 more
doaj   +1 more source

ATP Citrate Lyase and LncRNA NONMMUT010685 Play Crucial Role in Nonalcoholic Fatty Liver Disease Based on Analysis of Microarray Data

Cellular Physiology and Biochemistry, 2018
Background/Aims: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of liver disease with unclear molecular mechanisms. Our study intended to identify potential long non-coding RNAs (lncRNAs) and genes, and to determine the potential ...
Tao-tao Ma, Cheng Huang, Ying Ni, You Yang, Jun Li   +4 more
doaj   +1 more source

Guidelines for the Anti‐Obesity Assays of Food Bioactives in Caenorhabditis elegans

AgriFood: Journal of Agricultural Products for Food, EarlyView.
This Guideline uses Caenorhabditis elegans as a model organism to systematically explain and summarize the research strategies and experimental methods for the anti‐obesity effects of food bioactives. ABSTRACT The obesity has become a global public health problem and is closely related to a variety of chronic diseases.
Rui Lu
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source