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Featured researches published by YanHong Wang.


PLOS ONE | 2014

Characterization of Transcriptional Complexity during Adipose Tissue Development in Bovines of Different Ages and Sexes

Yang Zhou; Jiajie Sun; Congjun Li; YanHong Wang; Lan Li; Hanfang Cai; Xianyong Lan; Chuzhao Lei; Xin Zhao; Hong Chen

Background Adipose tissue has long been recognized to play an extremely important role in development. In bovines, it not only serves a fundamental function but also plays a key role in the quality of beef and, consequently, has drawn much public attention. Age and sex are two key factors that affect the development of adipose tissue, and there has not yet been a global study detailing the effects of these two factors on expressional differences of adipose tissues. Results In this study, total RNA from the back fat of fetal bovines, adult bulls, adult heifers and adult steers were used to construct libraries for Illumina next-generation sequencing. We detected the expression levels of 12,233 genes, with over 3,000 differently expressed genes when comparing fetal and adult patterns and an average of 1000 differently expressed genes when comparing adult patterns. Multiple Gene Ontology terms and pathways were found to be significantly enriched for these differentially expressed genes. Of the 12,233 detected genes, a total of 4,753 genes (38.85%) underwent alternative splicing events, and over 50% were specifically expressed in each library. Over 4,000 novel transcript units were discovered for one library, whereas only approximately 30% were considered to have coding ability, which supplied a large amount of information for the lncRNA study. Additionally, we detected 56,564 (fetal bovine), 65,154 (adult bull), 78,061 (adult heifer) and 86,965 (adult steer) putative single nucleotide polymorphisms located in coding regions of the four pooled libraries. Conclusion Here, we present, for the first time, a complete dataset involving the spatial and temporal transcriptome of bovine adipose tissue using RNA-seq. These data will facilitate the understanding of the effects of age and sex on the development of adipose tissue and supply essential information towards further studies on the genomes of beef cattle and other related mammals.


Journal of Nutrition | 2014

Deep RNA Sequencing Reveals that MicroRNAs Play a Key Role in Lactation in Rats

Chunlei Zhang; YuLong Zhao; YanHong Wang; Hui Wu; Xingtang Fang; Hong Chen

Understanding the regulatory contribution of maternal physiology to difficulties with lactation is beneficial to both mother and infant. MicroRNAs (miRNAs), a type of noncoding RNA, may be involved in the regulation of mammary gland development and function. In the present study, a deep RNA sequencing (RNA-seq) technique was used to compare the expression profile of miRNAs and mRNAs of 2 pooled RNA samples from day 1 and day 7 postpartum (n = 1/d) rat (Rattus norvegicus) mammary glands to identify key miRNAs and their target genes that may control the rate-limiting steps of lactation. A total of 395 and 400 known miRNAs were identified in days 1 and 7 postpartum rat mammary samples, respectively. Compared with day 1 postpartum, 27 miRNAs were differentially expressed at day 7 postpartum. The expression differences between lactation periods were further analyzed by real-time quantitative polymerase chain reaction (qPCR) (n = 5). The ΔΔCt values of rno-miR-30, rno-miR-1, rno-miR-145-3p, rno-miR-142, rno-miR-7a-5p, rno-miR-3571, rno-miR-224-5p, rno-miR-362-5p, rno-miR-342-3p, rno-miR-322-3p, rno-miR-18a-5p, and rno-miR-202-5p between the 2 libraries varied from 0.64 to 9.44; the ΔΔCt values of rno-miR-133, rno-miR-190a-5p, rno-miR-27a-5p, rno-miR-451-5p, rno-miR-3120, rno-miR-23a-5p, rno-miR-20a-3p, rno-miR-92a-1-5p, and rno-miR-134-5p between the 2 libraries varied from -1.02 to -4.37 (P < 0.05). The intersection of the expressed mRNA genes from RNA-seq and putative target genes of differentially expressed miRNAs, termed mammary gland target genes (MTGs), was analyzed. The results indicated that 1259 MTGs overlapped between the 2 gene sets. The expression of 14 randomly selected genes of the MTGs was further confirmed by real-time qPCR (R(2) = 0.86, P < 0.01). The downregulated MTGs were enriched for the pathways involved in lipid biosynthesis. This gene cluster included 24 lipid metabolic process-related genes, which were putative targets of 10 differentially expressed miRNAs. These results will be helpful in discovering the biologic underpinnings of poor lactation performance in women attempting to breastfeed.


Journal of Dairy Science | 2016

Circular RNA of cattle casein genes are highly expressed in bovine mammary gland

Chunlei Zhang; Hui Wu; YanHong Wang; ShiQi Zhu; JunQiang Liu; Xingtang Fang; Hong Chen

Recent studies have revealed that, in addition to hormones and other protein factors, noncoding RNA molecules play an important regulatory role in milk protein synthesis. Circular RNAs (circRNAs) are universally expressed noncoding RNA species that have been proposed recently to regulate the expression of their parental genes. In the present study, the deep RNA-sequencing technique known as RNA-seq was used to compare expression profiles of circRNAs from 2 pooled RNA samples from cow mammary gland on d 90 and 250 postpartum and to identify the key circRNAs involved in lactation. A total of 4,804 and 4,048 circRNAs were identified in the cow mammary gland on d 90 and 250 postpartum, respectively, of which only 2,231 circRNAs were co-expressed at both lactation stages, suggesting high stage specificity in the circRNAs. The enrichment of some Gene Ontology terms for the circRNA parental genes differed between lactation stages. Among the top 10 enriched Gene Ontology terms, vesicle, endoplasmic reticulum, and mitochondrial lumen were more common on lactation d 90. All 4 casein-coding genes (CSN1S1, CSN1S2, CSN2, and CSN3) produced circRNAs in the cattle mammary gland. In total, 80 circRNAs were identified from these 4 genes; circRNAs from CSN1S1 had very high abundance, and 3 of them accounted for 36% of all the circRNAs expressed in the mammary gland on lactation d 90. Three circRNAs from CSN1S1, 1 circRNA from CSN1S2, and 1 circRNA from CSN2 were all more highly expressed on lactation d 90 than on lactation d 250, as confirmed by quantitative PCR. These circRNAs had several target sites for the microRNA miR-2284 family and were predicted to target CSN1S1 and CSN2 mRNA, suggesting their potential involvement in regulating expression of the casein genes.


PLOS ONE | 2014

Identification and profiling of microRNAs and their target genes from developing caprine skeletal Muscle.

YanHong Wang; Chunlei Zhang; Xingtang Fang; YuLong Zhao; Xiaohui Chen; Jiajie Sun; Yang Zhou; Jianjin Wang; Yongan Wang; Xianyong Lan; Hong Chen

Goat is an important agricultural animal for meat production. Functional studies have demonstrated that microRNAs (miRNAs) regulate gene expression at the post-transcriptional level and play an important role in various biological processes. Although studies on miRNAs expression profiles have been performed in various animals, relatively limited information about goat muscle miRNAs has been reported. To investigate the miRNAs involved in regulating different periods of skeletal muscle development, we herein performed a comprehensive research for expression profiles of caprine miRNAs during two developmental stages of skeletal muscles: fetal stage and six month-old stage. As a result, 15,627,457 and 15,593,721 clean reads were obtained from the fetal goat library (FC) and the six month old goat library (SMC), respectively. 464 known miRNAs and 83 novel miRNA candidates were identified. Furthermore, by comparing the miRNA profile, 336 differentially expressed miRNAs were identified and then the potential targets of the differentially expressed miRNAs were predicted. To understand the regulatory network of miRNAs during muscle development, the mRNA expression profiles for the two development stages were characterized and 7322 differentially expressed genes (DEGs) were identified. Then the potential targets of miRNAs were compared to the DEGs, the intersection of the two gene sets were screened out and called differentially expressed targets (DE-targets), which were involved in 231 pathways. Ten of the 231 pathways that have smallest P-value were shown as network figures. Based on the analysis of pathways and networks, we found that miR-424-5p and miR-29a might have important regulatory effect on muscle development, which needed to be further studied. This study provided the first global view of the miRNAs in caprine muscle tissues. Our results help elucidation of complex regulatory networks between miRNAs and mRNAs and for the study of muscle development.


Journal of Breast Cancer | 2015

Expression Patterns of Circular RNAs from Primary Kinase Transcripts in the Mammary Glands of Lactating Rats

Chunlei Zhang; Hui Wu; YanHong Wang; YuLong Zhao; Xingtang Fang; Caifa Chen; Hong Chen

Purpose Circular RNAs (circRNAs), a novel class of RNAs, perform important functions in biological processes. However, the role of circRNAs in the mammary gland remains unknown. The present study is aimed at identifying and characterizing the circRNAs expressed in the mammary gland of lactating rats. Methods Deep sequencing of RNase R-enriched rat lactating mammary gland samples was performed and circRNAs were predicted using a previously reported computational pipeline. Gene ontology terms of circRNA-producing genes were also analyzed. Results A total of 6,824 and 4,523 circRNAs were identified from rat mammary glands at two different lactation stages. Numerous circRNAs were specifically expressed at different lactation stages, and only 1,314 circRNAs were detected at both lactation stages. The majority of the candidate circRNAs map to noncoding intronic and intergenic regions. The results demonstrate a circular preference or specificity of some genes. DAVID analysis revealed an enrichment of protein kinases and related proteins among the set of genes encoding circRNAs. Interestingly, four protein-coding genes (Rev3l, IGSF11, MAML2, and LPP) that also transcribe high levels of circRNAs have been reported to be involved in cancer. Conclusion Our findings provide the basis for comparison between breast cancer profiles and for selecting representative circRNA candidates for future functional characterization in breast development and breast cancer.


Research in Veterinary Science | 2012

The association of bovine T1R family of receptors polymorphisms with cattle growth traits

Chunlei Zhang; J. Yuan; Q. Wang; YanHong Wang; Xingtang Fang; Chuzhao Lei; D.Y. Yang; Hong Chen

The three members of the T1R class of taste-specific G protein-coupled receptors have been proven to function in combination with heterodimeric sweet and umami taste receptors in many mammals that affect food intake. This may in turn affect growth traits of livestock. We performed a comprehensive evaluation of single-nucleotide polymorphisms (SNPs) in the bovine TAS1R gene family, which encodes receptors for umami and sweet tastes. Complete DNA sequences of TAS1R1-, TAS1R2-, and TAS1R3-coding regions, obtained from 436 unrelated female cattle, representing three breeds (Qinchuan, Jiaxian Red, Luxi), revealed substantial coding and noncoding diversity. A total of nine SNPs in the TAS1R1 gene were identified, among which seven SNPs were in the coding region, and two SNPs were in the introns. All five SNPs in the TAS1R2 gene and all three SNPs in the TAS1R3 gene were identified in the coding region. Four SNPs (TAS1R1 g.5081C>T, TAS1R1 g.5110C>A, TAS1R2 g.288A>G, TAS1R2 g.2552T>C) were significantly associated with body height of Qinchuan cattle (P<0.05). The heterozygous genotypes of the four SNPs showed a molecular heterosis on cattle heights at hip cross and sacra. The individuals with different genotypic combinations of the four SNPs had significant association with heights at hip cross and sacra (P<0.05).


Research in Veterinary Science | 2011

The polymorphisms of bovine melanocortin-3 receptor pseudogene

Chunlei Zhang; YanHong Wang; Chuzhao Lei; Xingtang Fang; Hong Chen

Mammalian melanocortin-3 receptor (MC3R) plays an important role in the central control of energy homeostasis, and several functional polymorphisms of mc3r have been detected. Interestingly, the bovine mc3r was a pseudogene, and its polymorphisms and function remain to be investigated. Single-strand conformation polymorphism (SSCP) showed 5, 2 and 3 genotypes in fragment F1, F2 and F3 of mc3r in seven cattle breeds, respectively. All genotypes revealed novel sequences. Three SNPs 657G>T, 756C>T, 822T>C were detected in fragment F1, five SNPs 1091T>C, 1133T>C, 1144C>T, 1259T>C and 1319G>A were detected in fragment F2, and two SNPs 1687G>A, 1860C>T were detected in F3. The SNPs in fragment F1 and F2 were located at exon 2. The five SNPs in fragment F2 demonstrated a tight linkage disequilibrium status. Variation detected here might have an impact on the function of bovine mc3r pseudogene.


Molecular Nutrition & Food Research | 2017

Milk protein synthesis is regulated by T1R1/T1R3, a G protein‐coupled taste receptor, through the mTOR pathway in the mouse mammary gland

JunQiang Liu; YanHong Wang; Dewei Li; Yanhuan Wang; Menglu Li; Caifa Chen; Xingtang Fang; Hong Chen; Chunlei Zhang

SCOPE Understanding the regulatory mechanism of milk protein synthesis is important to develop strategies to improve milk protein and enhance lactation performance. The mammalian target of rapamycin (mTOR) pathway is a crucial modulator of protein synthesis. In this study, we want to investigate if T1R1/T1R3 can regulate milk protein synthesis and mediate the mTOR pathway in the mice mammary gland in vivo. METHODS AND RESULTS T1R1 knockout mice, WT mice, and mammary explants were used. The weigh-suckle-weigh method was used to quantify the milk yield. The expression level of β-casein and AA transporter mRNA were analyzed by qPCR. Western blot was used to analyze protein abundance of members of the mTOR pathway. As expected, the knockout of T1R1 not only reduced the total milk yield in the mice mammary glands, but also repressed β-casein synthesis. Additionally, the phosphorylation of 4EBP1 and S6K was significantly decreased in T1R1 knockout mice. The T1R1 knockout also increased the protein abundance of the AA transporter SLC3A2 and mRNA expression of SLC7A5/SLC3A2 and SLC1A5. Activation of the mTOR pathway was repressed by inhibition of T1R3 or T1R1 knockout in mammary gland explants. CONCLUSION T1R1/T1R3 modulates the mTOR pathway to regulate milk protein synthesis in the mouse mammary gland in vivo.


International Journal of Biological Macromolecules | 2018

A Zfp609 circular RNA regulates myoblast differentiation by sponging miR-194-5p

YanHong Wang; Menglu Li; Yanhuan Wang; Jia Liu; MoLan Zhang; Xingtang Fang; Hong Chen; Chunlei Zhang

Skeletal muscle development and growth regulatory mechanism is the focus of both animal genetics and medicine. The recent studies indicate that covalently closed circular RNAs (circRNAs) also play important role on muscle development through sequestering specific miRNAs. The present study was conducted to determine the functional roles of circZfp609, a recently identified circRNA, in the regulation of myogenesis in mouse myoblast cell line (C2C12). circZfp609 is predicted to has binding sites of miR-194-5p. circZfp609 knockdown increased the expression of Myf5 and MyoG, which indicated that circZfp609 suppressed myogenic differentiation. Via a luciferase screening assay, circZfp609 is observed to sponge to miR-194-5p with four potential binding sites. Specifically, we show that circZfp609 can sponge miR-194-5p to sequester its inhibition on BCLAF1 so as to repress the myogenic differentiation. Modulation of circZfp609 expression in muscle tissue may emerge as a potential target in breeding strategies attempting to control muscle development.


Analytical Biochemistry | 2007

Enhance the efficiency of single-strand conformation polymorphism analysis by short polyacrylamide gel and modified silver staining

Chunlei Zhang; YanHong Wang; Hong Chen; Xianyong Lan; Chuzhao Lei

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Hong Chen

Laboratory of Molecular Biology

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Chunlei Zhang

Jiangsu Normal University

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Xingtang Fang

Jiangsu Normal University

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Xianyong Lan

Laboratory of Molecular Biology

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Hui Wu

Jiangsu Normal University

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JunQiang Liu

Jiangsu Normal University

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YuLong Zhao

Jiangsu Normal University

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Yang Zhou

Laboratory of Molecular Biology

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Caifa Chen

Jiangsu Normal University

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