Co-expression analysis among microRNAs, long non-coding RNAs, and messenger RNAs to understand the pathogenesis and progression of diabetic kidney disease at the genetic level
机构:[1]Department of Geriatric Endocrinology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650031, China内科科室干疗科内分泌科老年内分泌科昆明医科大学附属第一医院[2]Department of Nephrology, First People’s Hospital of Yunnan Province, Kunming, Yunnan 650032, China云南省第一人民医院[3]Computer Science Department, School of Computing, University of South Alabama, Mobile, AL 36688, USA[4]Department of Endocrinology and Metabolism, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650031, China内科科室内分泌科昆明医科大学附属第一医院
Diabetic kidney disease (DKD) is a serious disease that presents a major health problem worldwide. There is a desperate need to explore novel biomarkers to further facilitate the early diagnosis and effective treatment in DKD patients, thus preventing them from developing end-stage renal disease (ESRD). However, most regulation mechanisms at the genetic level in DKD still remain unclear. In this paper, we describe our innovative methodologies that integrate biological, computational, and statistical approaches to investigate important roles performed by regulations among microRNAs (miRs), long non-coding RNAs (lncRNAs), and messenger RNAs (mRNAs) in DKD. We conducted fully transparent, rigorously designed experiments. Our robust and reproducible results identified hsa-miR-223-3p as a candidate novel biomarker performing important roles in DKD disease process. (C) 2017 Published by Elsevier Inc.
基金:
National Natural Science Foundation of China (NSFC, Regional Science Fund Project)National Natural Science Foundation of China [81560126]; Yunnan Health and Family Planning Commission [2016NS019]; Yunnan Applied Basic Research Projects [2016FB127]; Chengdu Medical College [CYZ15-08]; National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China [81660141]; National Cancer Institute (NCI) of the National Institutes of Health (NIH)United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Cancer Institute (NCI) [U01CA180982]
语种:
外文
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2018]版:
大类|2 区生物
小类|2 区生化研究方法3 区生化与分子生物学
最新[2023]版:
大类|3 区生物学
小类|3 区生化研究方法3 区生化与分子生物学
JCR分区:
出版当年[2017]版:
Q1BIOCHEMICAL RESEARCH METHODSQ2BIOCHEMISTRY & MOLECULAR BIOLOGY
最新[2023]版:
Q1BIOCHEMICAL RESEARCH METHODSQ2BIOCHEMISTRY & MOLECULAR BIOLOGY
第一作者机构:[1]Department of Geriatric Endocrinology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650031, China
通讯作者:
推荐引用方式(GB/T 7714):
Zhang Lihua,Li Rong,He Junyi,et al.Co-expression analysis among microRNAs, long non-coding RNAs, and messenger RNAs to understand the pathogenesis and progression of diabetic kidney disease at the genetic level[J].METHODS.2017,124:46-56.doi:10.1016/j.ymeth.2017.05.023.
APA:
Zhang, Lihua,Li, Rong,He, Junyi,Yang, Qiuping,Wu, Yanan...&Wu, Bin.(2017).Co-expression analysis among microRNAs, long non-coding RNAs, and messenger RNAs to understand the pathogenesis and progression of diabetic kidney disease at the genetic level.METHODS,124,
MLA:
Zhang, Lihua,et al."Co-expression analysis among microRNAs, long non-coding RNAs, and messenger RNAs to understand the pathogenesis and progression of diabetic kidney disease at the genetic level".METHODS 124.(2017):46-56