1
|
Wang X, Zhang J, Su J, Huang T, Lian L, Nie Q, Zhang X, Li J, Wang Y. Genome-wide mapping of the binding sites of myocyte enhancer factor 2A in chicken primary myoblasts. Poult Sci 2024; 103:104097. [PMID: 39094502 DOI: 10.1016/j.psj.2024.104097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 07/04/2024] [Accepted: 07/09/2024] [Indexed: 08/04/2024] Open
Abstract
Myocyte enhancer factor 2A (MEF2A) is a transcription factor that plays a critical role in cell proliferation, differentiation and apoptosis. In contrast to the wide characterization of its regulation mechanism in mammalian skeletal muscle, its role in chickens is limited. Especially, its wide target genes remain to be identified. Therefore, we utilized Cleavage Under Targets and Tagmentation (CUT&Tag) technology to reveal the genome-wide binding profile of MEF2A in chicken primary myoblasts thus gaining insights into its potential role in muscle development. Our results revealed that MEF2A binding sites were primarily distributed in intergenic and intronic regions. Within the promoter region, although only 8.87% of MEF2A binding sites were found, these binding sites were concentrated around the transcription start site (TSS). Following peak annotation, a total of 1903 genes were identified as potential targets of MEF2A. Gene Ontology (GO) enrichment analysis further revealed that MEF2A target genes may be involved in the regulation of embryonic development in multiple organ systems, including muscle development, gland development, and visual system development. Moreover, a comparison of the MEF2A target genes identified in chicken primary myoblasts with those in mouse C2C12 cells revealed 388 target genes are conserved across species, 1515 target genes are chicken specific. Among these conserved genes, ankyrin repeat and SOCS box containing 5 (ASB5), transmembrane protein 182 (TMEM182), myomesin 2 (MYOM2), leucyl and cystinyl aminopeptidase (LNPEP), actinin alpha 2 (ACTN2), sorbin and SH3 domain containing 1 (SORBS1), ankyrin 3 (ANK3), sarcoglycan delta (SGCD), and ORAI calcium release-activated calcium modulator 1 (ORAI1) exhibited consistent expression patterns with MEF2A during embryonic muscle development. Finally, TMEM182, as an important negative regulator of muscle development, has been validated to be regulated by MEF2A by dual-luciferase and quantitative real-time PCR (qPCR) assays. In summary, our study for the first time provides a wide landscape of MEF2A target genes in chicken primary myoblasts, which supports the active role of MEF2A in chicken muscle development.
Collapse
Affiliation(s)
- Xinglong Wang
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Jiannan Zhang
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Jiancheng Su
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Tianjiao Huang
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Ling Lian
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, PR China
| | - Qinghua Nie
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, PR China
| | - Xin Zhang
- Joint Nutrition Center for Animal Feeding of Sichuan University-Shengliyuan Group
| | - Juan Li
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, PR China; Joint Nutrition Center for Animal Feeding of Sichuan University-Shengliyuan Group
| | - Yajun Wang
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, PR China; Joint Nutrition Center for Animal Feeding of Sichuan University-Shengliyuan Group.
| |
Collapse
|
2
|
Li D, Wan X, Yun Y, Li Y, Duan W. Genes Selectively Expressed in Rat Organs. Curr Genomics 2024; 25:261-297. [PMID: 39156728 PMCID: PMC11327808 DOI: 10.2174/0113892029273121240401060228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/24/2023] [Accepted: 12/05/2023] [Indexed: 08/20/2024] Open
Abstract
Background Understanding organic functions at a molecular level is important for scientists to unveil the disease mechanism and to develop diagnostic or therapeutic methods. Aims The present study tried to find genes selectively expressed in 11 rat organs, including the adrenal gland, brain, colon, duodenum, heart, ileum, kidney, liver, lung, spleen, and stomach. Materials and Methods Three normal male Sprague-Dawley (SD) rats were anesthetized, their organs mentioned above were harvested, and RNA in the fresh organs was extracted. Purified RNA was reversely transcribed and sequenced using the Solexa high-throughput sequencing technique. The abundance of a gene was measured by the expected value of fragments per kilobase of transcript sequence per million base pairs sequenced (FPKM). Genes in organs with the highest expression level were sought out and compared with their median value in organs. If a gene in the highest expressed organ was significantly different (p < 0.05) from that in the medianly expressed organ, accompanied by q value < 0.05, and accounted for more than 70% of the total abundance, the gene was assumed as the selective gene in the organ. Results & Discussion The Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Ontology (GO) pathways were enriched by the highest expressed genes. Based on the criterion, 1,406 selective genes were screened out, 1,283 of which were described in the gene bank and 123 of which were waiting to be described. KEGG and GO pathways in the organs were partly confirmed by the known understandings and a good portion of the pathways needed further investigation. Conclusion The novel selective genes and organic functional pathways are useful for scientists to unveil the mechanisms of the organs at the molecular level, and the selective genes' products are candidate disease markers for organs.
Collapse
Affiliation(s)
- Dan Li
- The Department of Pharmacology, School of Basic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Xulian Wan
- School of Basic Medicine, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| | - Yu Yun
- The Department of Pharmacology, School of Basic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Yongkun Li
- School of Basic Medicine, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| | - Weigang Duan
- School of Basic Medicine, Yunnan University of Traditional Chinese Medicine, Kunming, 650500, China
| |
Collapse
|
3
|
Chen G, Lin Z, Peng H, Zhang S, Zhang Z, Zhang X, Nie Q, Luo W. The transmembrane protein TMEM182 promotes fat deposition and alters metabolomics and lipidomics. Int J Biol Macromol 2024; 259:129144. [PMID: 38181918 DOI: 10.1016/j.ijbiomac.2023.129144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 12/10/2023] [Accepted: 12/28/2023] [Indexed: 01/07/2024]
Abstract
TMEM182, a transmembrane protein highly expressed in muscle and adipose tissues, plays a crucial role in muscle cell differentiation, metabolism, and signaling. However, its role in fat deposition and metabolism is still unknown. In this study, we used overexpression and knockout models to examine the impact of TMEM182 on fat synthesis and metabolism. Our results showed that TMEM182 overexpression increased the expression of fat synthesis-related genes and promoted the differentiation of preadipocytes into fat cells. In TMEM182 knockout mice, there was a significant decrease in abdominal fat deposition. RNA sequencing results showed that TMEM182 overexpression in preadipocytes enhanced the activity of pathways related to fat formation, ECM-receptor interaction, and cell adhesion. Furthermore, our analysis using UPLC-MS/MS showed that TMEM182 significantly altered the metabolite and lipid content and composition in chicken breast muscle. Specifically, TMEM182 increased the content of amino acids and their derivatives in chicken breast muscle, promoting amino acid metabolic pathways. Lipidomics also revealed a significant increase in the content of glycerophospholipids, sphingolipids, and phospholipids in the breast muscle after TMEM182 overexpression. These findings suggest that TMEM182 plays a crucial role in regulating fat deposition and metabolism, making it a potential target for treating obesity-related diseases and animal breeding.
Collapse
Affiliation(s)
- Genghua Chen
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Zetong Lin
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Haoqi Peng
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Shuai Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Zihao Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Xiquan Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Qinghua Nie
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Wen Luo
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China; State Key Laboratory of Livestock and Poultry Breeding, Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China.
| |
Collapse
|
4
|
Lin ZT, Chen GH, Peng X, Zhang ZH, Li T, Lin HX, Liang SS, Zheng YB, Yao ZP, Luo W. A 2-bp deletion in intron 1 of TMEM182 is associated with TMEM182 mRNA expression and chicken body weight. Br Poult Sci 2023; 64:11-18. [PMID: 35759289 DOI: 10.1080/00071668.2022.2094217] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
1. Searching for molecular markers related to growth and carcase traits plays a critical role in improvement of the production performance of broilers. Previous studies found that transmembrane protein 182 (TMEM182) inhibits skeletal muscle development, growth, and regeneration, implying that the TMEM182 gene plays an important role during the development process of skeletal muscle.2. A novel 2-bp indel in intron 1 of TMEM182 was detected in a yellow chicken population derived from the cross of White Recessive Rock chickens with Xinghua chickens, and three genotypes II (inserted homozygote), ID (inserted and deleted heterozygote) and DD (deleted homozygote) were observed. Association analyses indicated that the indel was significantly associated with the body weight, muscle fibre area, breast muscle weight and wing weight in the F2 population.3. The expression of TMEM182 in leg muscle of chickens with II genotype was higher than that with DD genotype, with the 2-bp indel located in one of the putative PAX4 binding sites. Further research through luciferase assays revealed that the PAX4 could bind to the putative binding site and increase the TMEM182 transcription, with the 2-bp deletion disrupting the binding of PAX4.4. The present study provides evidence for the association of the novel 2-bp indel in intron 1 of TMEM182 with the growth and carcase traits of chickens. This 2-bp indel could be used as a genetic marker in broiler breeding.
Collapse
Affiliation(s)
- Z T Lin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| | - G H Chen
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| | - X Peng
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| | - Z H Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| | - T Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| | - H X Lin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| | - S S Liang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| | - Y B Zheng
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| | - Z P Yao
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| | - W Luo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong, China
| |
Collapse
|
5
|
Halli K, Bohlouli M, Schulz L, Sundrum A, König S. Estimation of direct and maternal genetic effects and annotation of potential candidate genes for weight and meat quality traits in a genotyped outdoor dual-purpose cattle breed. Transl Anim Sci 2022; 6:txac022. [PMID: 35308836 PMCID: PMC8925308 DOI: 10.1093/tas/txac022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Indexed: 12/03/2022] Open
Abstract
With regard to potential applications of genomic selection in small numbered breeds, we evaluated genomic models and focused on potential candidate gene annotations for weight and meat quality traits in the local Rotes Höhenvieh (RHV) breed. Traits included 6,003 birth weights (BWT), 5,719 200 d-weights (200dw), 4,594 365 d-weights (365dw), and 547 records for intramuscular fat content (IMF). A total of 581,304 SNP from 370 genotyped cattle with phenotypic records were included in genomic analyses. Model evaluations focused on single- and multiple-trait models with direct and with direct and maternal genetic effects. Genetic relationship matrices were based on pedigree (A-matrix), SNP markers (G-matrix), or both (H-matrix). Genome-wide association studies (GWASs) were carried out using linear mixed models to identify potential candidate genes for the traits of interest. De-regressed proofs (DRP) for direct and maternal genetic components were used as pseudo-phenotypes in the GWAS. Accuracies of direct breeding values were higher from models based on G or on H compared to A. Highest accuracies (> 0.89) were obtained for IMF with multiple-trait models using the G-matrix. Direct heritabilities with maternal genetic effects ranged from 0.62 to 0.66 for BWT, from 0.45 to 0.55 for 200dW, from 0.40 to 0.44 for 365dW, and from 0.48 to 0.75 for IMF. Maternal heritabilities for BWT, 200dW, and 365dW were in a narrow range from 0.21 to 0.24, 0.24 to 0.27, and 0.21 to 0.25, respectively, and from 0.25 to 0.65 for IMF. Direct genetic correlations among body weight traits were positive and favorable, and very similar from different models but showed a stronger variation with 0.31 (A), −0.13 (G), and 0.45 (H) between BWT and IMF. In gene annotations, we identified 6, 3, 1, and 6 potential candidate genes for direct genetic effect on BWT, 200dW, 365dW, and IMF traits, respectively. Regarding maternal genetic effects, four (SHROOM3, ZNF609, PECAM1, and TEX2) and two (TMEM182 and SEC11A) genes were detected as potential candidate genes for BWT and 365dW, respectively. Potential candidate genes for maternal effect on IMF were GRHL2, FGA, FGB, and CTNNA3. As the most important finding from a practical breeding perspective, a small number of genotyped RHV cattle enabled accurate breeding values for high heritability IMF.
Collapse
Affiliation(s)
- K Halli
- Institute of Animal Breeding and Genetics, Justus-Liebig-University, Giessen, Germany
| | - M Bohlouli
- Institute of Animal Breeding and Genetics, Justus-Liebig-University, Giessen, Germany
| | - L Schulz
- Department of Animal Nutrition and Animal Health, Kassel University, Witzenhausen, Germany
| | - A Sundrum
- Department of Animal Nutrition and Animal Health, Kassel University, Witzenhausen, Germany
| | - S König
- Institute of Animal Breeding and Genetics, Justus-Liebig-University, Giessen, Germany
| |
Collapse
|
6
|
Raza SHA, Liang C, Guohua W, Pant SD, Mohammedsaleh ZM, Shater AF, Alotaibi MA, Khan R, Schreurs N, Cheng G, Mei C, Zan L. Screening and Identification of Muscle-Specific Candidate Genes via Mouse Microarray Data Analysis. Front Vet Sci 2021; 8:794628. [PMID: 34966817 PMCID: PMC8710720 DOI: 10.3389/fvets.2021.794628] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/22/2021] [Indexed: 01/17/2023] Open
Abstract
Muscle tissue is involved with every stage of life activities and has roles in biological processes. For example, the blood circulation system needs the heart muscle to transport blood to all parts, and the movement cannot be separated from the participation of skeletal muscle. However, the process of muscle development and the regulatory mechanisms of muscle development are not clear at present. In this study, we used bioinformatics techniques to identify differentially expressed genes specifically expressed in multiple muscle tissues of mice as potential candidate genes for studying the regulatory mechanisms of muscle development. Mouse tissue microarray data from 18 tissue samples was selected from the GEO database for analysis. Muscle tissue as the treatment group, and the other 17 tissues as the control group. Genes expressed in the muscle tissue were different to those in the other 17 tissues and identified 272 differential genes with highly specific expression in muscle tissue, including 260 up-regulated genes and 12 down regulated genes. is the genes were associated with the myofibril, contractile fibers, and sarcomere, cytoskeletal protein binding, and actin binding. KEGG pathway analysis showed that the differentially expressed genes in muscle tissue were mainly concentrated in pathways for AMPK signaling, cGMP PKG signaling calcium signaling, glycolysis, and, arginine and proline metabolism. A PPI protein interaction network was constructed for the selected differential genes, and the MCODE module used for modular analysis. Five modules with Score > 3.0 are selected. Then the Cytoscape software was used to analyze the tissue specificity of differential genes, and the genes with high degree scores collected, and some common genes selected for quantitative PCR verification. The conclusion is that we have screened the differentially expressed gene set specific to mouse muscle to provide potential candidate genes for the study of the important mechanisms of muscle development.
Collapse
Affiliation(s)
| | - Chengcheng Liang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Wang Guohua
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Sameer D Pant
- School of Animal & Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW, Australia
| | - Zuhair M Mohammedsaleh
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Saudi Arabia
| | - Abdullah F Shater
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Saudi Arabia
| | | | - Rajwali Khan
- Department of Livestock Management, Breeding and Genetic, The University of Agriculture Peshawar, Peshawar, Pakistan
| | - Nicola Schreurs
- Animal Science, School of Agriculture and Environment, Massey University, Palmerston North, New Zealand
| | - Gong Cheng
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Chugang Mei
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, China.,National Beef Cattle Improvement Center, Northwest A&F University, Yangling, China
| |
Collapse
|
7
|
Luo W, Lin Z, Chen J, Chen G, Zhang S, Liu M, Li H, He D, Liang S, Luo Q, Zhang D, Nie Q, Zhang X. TMEM182 interacts with integrin beta 1 and regulates myoblast differentiation and muscle regeneration. J Cachexia Sarcopenia Muscle 2021; 12:1704-1723. [PMID: 34427057 PMCID: PMC8718073 DOI: 10.1002/jcsm.12767] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/28/2021] [Accepted: 07/10/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Transmembrane proteins are vital for intercellular signalling and play important roles in the control of cell fate. However, their physiological functions and mechanisms of action in myogenesis and muscle disorders remain largely unexplored. It has been found that transmembrane protein 182 (TMEM182) is dramatically up-regulated during myogenesis, but its detailed functions remain unclear. This study aimed to analyse the function of TMEM182 during myogenesis and muscle regeneration. METHODS RNA sequencing, quantitative real-time polymerase chain reaction, and immunofluorescence approaches were used to analyse TMEM182 expression during myoblast differentiation. A dual-luciferase reporter assay was used to identify the promoter region of the TMEM182 gene, and a chromatin immunoprecipitation assay was used to investigate the regulation TMEM182 transcription by MyoD. We used chickens and TMEM182-knockout mice as in vivo models to examine the function of TMEM182 in muscle growth and muscle regeneration. Chickens and mouse primary myoblasts were used to extend the findings to in vitro effects on myoblast differentiation and fusion. Co-immunoprecipitation and mass spectrometry were used to identify the interaction between TMEM182 and integrin beta 1 (ITGB1). The molecular mechanism by which TMEM182 regulates myogenesis and muscle regeneration was examined by Transwell migration, cell wound healing, adhesion, glutathione-S-transferse pull down, protein purification, and RNA immunoprecipitation assays. RESULTS TMEM182 was specifically expressed in skeletal muscle and adipose tissue and was regulated at the transcriptional level by the myogenic regulatory factor MyoD1. Functionally, TMEM182 inhibited myoblast differentiation and fusion. The in vivo studies indicated that TMEM182 induced muscle fibre atrophy and delayed muscle regeneration. TMEM182 knockout in mice led to significant increases in body weight, muscle mass, muscle fibre number, and muscle fibre diameter. Skeletal muscle regeneration was accelerated in TMEM182-knockout mice. Furthermore, we revealed that the inhibitory roles of TMEM182 in skeletal muscle depend on ITGB1, an essential membrane receptor involved in cell adhesion and muscle formation. TMEM182 directly interacted with ITGB1, and this interaction required an extracellular hybrid domain of ITGB1 (aa 387-470) and a conserved region (aa 52-62) within the large extracellular loop of TMEM182. Mechanistically, TMEM182 modulated ITGB1 activation by coordinating the association between ITGB1 and laminin and regulating the intracellular signalling of ITGB1. Myogenic deletion of TMEM182 increased the binding activity of ITGB1 to laminin and induced the activation of the FAK-ERK and FAK-Akt signalling axes during myogenesis. CONCLUSIONS Our data reveal that TMEM182 is a novel negative regulator of myogenic differentiation and muscle regeneration.
Collapse
Affiliation(s)
- Wen Luo
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, China.,Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China.,Department of Orthaepedics and Traumatology, The Chinese University of Hong Kong, Hongkong
| | - Zetong Lin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Jiahui Chen
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Genghua Chen
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Siyu Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Manqing Liu
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, China.,Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Hongmei Li
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, China.,Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Danlin He
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, China.,Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Shaodong Liang
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, China.,Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Qingbin Luo
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, China.,Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Dexiang Zhang
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, China.,Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China
| | - Qinghua Nie
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, China.,Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China.,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
| | - Xiquan Zhang
- Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou, China.,Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, China.,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
| |
Collapse
|
8
|
Weldenegodguad M, Pokharel K, Niiranen L, Soppela P, Ammosov I, Honkatukia M, Lindeberg H, Peippo J, Reilas T, Mazzullo N, Mäkelä KA, Nyman T, Tervahauta A, Herzig KH, Stammler F, Kantanen J. Adipose gene expression profiles reveal insights into the adaptation of northern Eurasian semi-domestic reindeer (Rangifer tarandus). Commun Biol 2021; 4:1170. [PMID: 34620965 PMCID: PMC8497613 DOI: 10.1038/s42003-021-02703-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 09/21/2021] [Indexed: 02/08/2023] Open
Abstract
Reindeer (Rangifer tarandus) are semi-domesticated animals adapted to the challenging conditions of northern Eurasia. Adipose tissues play a crucial role in northern animals by altering gene expression in their tissues to regulate energy homoeostasis and thermogenic activity. Here, we perform transcriptome profiling by RNA sequencing of adipose tissues from three different anatomical depots: metacarpal (bone marrow), perirenal, and prescapular fat in Finnish and Even reindeer (in Sakha) during spring and winter. A total of 16,212 genes are expressed in our data. Gene expression profiles in metacarpal tissue are distinct from perirenal and prescapular adipose tissues. Notably, metacarpal adipose tissue appears to have a significant role in the regulation of the energy metabolism of reindeer in spring when their nutritional condition is poor after winter. During spring, genes associated with the immune system are upregulated in the perirenal and prescapular adipose tissue. Blood and tissue parameters reflecting general physiological and metabolic status show less seasonal variation in Even reindeer than in Finnish reindeer. This study identifies candidate genes potentially involved in immune response, fat deposition, and energy metabolism and provides new information on the mechanisms by which reindeer adapt to harsh arctic conditions.
Collapse
Affiliation(s)
- Melak Weldenegodguad
- grid.22642.300000 0004 4668 6757Natural Resources Institute Finland (Luke), Jokioinen, Finland ,grid.9668.10000 0001 0726 2490Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Kisun Pokharel
- grid.22642.300000 0004 4668 6757Natural Resources Institute Finland (Luke), Jokioinen, Finland
| | - Laura Niiranen
- grid.10858.340000 0001 0941 4873Research Unit of Biomedicine, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Päivi Soppela
- grid.37430.330000 0001 0744 995XArctic Centre, University of Lapland, Rovaniemi, Finland
| | - Innokentyi Ammosov
- grid.495192.2Laboratory of Reindeer Husbandry and Traditional Industries, Yakut Scientific Research Institute of Agriculture, Yakutsk, The Sakha Republic (Yakutia) Russia
| | | | - Heli Lindeberg
- grid.22642.300000 0004 4668 6757Natural Resources Institute Finland (Luke), Maaninka, Finland
| | - Jaana Peippo
- grid.22642.300000 0004 4668 6757Natural Resources Institute Finland (Luke), Jokioinen, Finland ,NordGen—Nordic Genetic Resource Center, Ås, Norway
| | - Tiina Reilas
- grid.22642.300000 0004 4668 6757Natural Resources Institute Finland (Luke), Jokioinen, Finland
| | - Nuccio Mazzullo
- grid.37430.330000 0001 0744 995XArctic Centre, University of Lapland, Rovaniemi, Finland
| | - Kari A. Mäkelä
- grid.10858.340000 0001 0941 4873Research Unit of Biomedicine, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Tommi Nyman
- grid.454322.60000 0004 4910 9859Department of Ecosystems in the Barents Region, Norwegian Institute of Bioeconomy Research, Svanvik, Norway
| | - Arja Tervahauta
- grid.9668.10000 0001 0726 2490Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Karl-Heinz Herzig
- grid.10858.340000 0001 0941 4873Research Unit of Biomedicine, Faculty of Medicine, University of Oulu, Oulu, Finland ,grid.10858.340000 0001 0941 4873Medical Research Center, Faculty of Medicine, University of Oulu, Oulu, Finland ,grid.412326.00000 0004 4685 4917Oulu University Hospital, Oulu, Finland ,grid.22254.330000 0001 2205 0971Institute of Pediatrics, Poznań University of Medical Sciences, Poznań, Poland
| | - Florian Stammler
- grid.37430.330000 0001 0744 995XArctic Centre, University of Lapland, Rovaniemi, Finland
| | - Juha Kantanen
- grid.22642.300000 0004 4668 6757Natural Resources Institute Finland (Luke), Jokioinen, Finland
| |
Collapse
|
9
|
Ma M, Lee JH, Kim M. Identification of a TMEM182 rs141764639 polymorphism associated with central obesity by regulating tumor necrosis factor-α in a Korean population. J Diabetes Complications 2020; 34:107732. [PMID: 32938560 DOI: 10.1016/j.jdiacomp.2020.107732] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 08/19/2020] [Accepted: 08/24/2020] [Indexed: 11/25/2022]
Abstract
AIMS To investigate the effect of a single nucleotide polymorphism (SNP) in transmembrane protein 182 (TMEM182) on the risk of having central obesity and the related phenotype. METHODS In total, 2141 subjects with central obesity (n = 827) and normal controls (n = 1314) were included. The most strongly associated SNPs were related to waist circumference, and one SNP, rs141764639, was identified in TMEM182 (p = 7.30E-06, q = 0.0326). RESULTS The TC genotype was associated with more central obesity; higher levels of blood pressure, glucose-related parameters, and inflammatory markers; abnormal lipid profiles; and smaller LDL particle sizes than the major allele homozygotes in the total population. TNF-α in the TC genotype showed extremely high levels compared to the TT genotype. There were significant interactions between the genotypes and waist circumference in relation to LDL particle size, TNF-α level, and IL-6 level. Compared with the reference group, the odds ratio for central obesity in C allele carriers was significantly increased by 2-fold. CONCLUSIONS The polymorphism of TMEM182 rs141764639 might have an effect on the incidence of central obesity in the Korean population by interacting with the upregulation of TNF-α, a proinflammatory cytokine. Moreover, LDL particle size, which is an atherogenic lipid profile trait, was associated with the TMEM182 rs141764639 genotype.
Collapse
Affiliation(s)
- Minjueng Ma
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul 03722, Republic of Korea
| | - Jong Ho Lee
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul 03722, Republic of Korea
| | - Minjoo Kim
- Department of Food and Nutrition, College of Life Science and Nano Technology, Hannam University, Daejeon 34054, Republic of Korea.
| |
Collapse
|
10
|
Freebern E, Santos DJA, Fang L, Jiang J, Parker Gaddis KL, Liu GE, VanRaden PM, Maltecca C, Cole JB, Ma L. GWAS and fine-mapping of livability and six disease traits in Holstein cattle. BMC Genomics 2020; 21:41. [PMID: 31931710 PMCID: PMC6958677 DOI: 10.1186/s12864-020-6461-z] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 01/07/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Health traits are of significant economic importance to the dairy industry due to their effects on milk production and associated treatment costs. Genome-wide association studies (GWAS) provide a means to identify associated genomic variants and thus reveal insights into the genetic architecture of complex traits and diseases. The objective of this study is to investigate the genetic basis of seven health traits in dairy cattle and to identify potential candidate genes associated with cattle health using GWAS, fine mapping, and analyses of multi-tissue transcriptome data. RESULTS We studied cow livability and six direct disease traits, mastitis, ketosis, hypocalcemia, displaced abomasum, metritis, and retained placenta, using de-regressed breeding values and more than three million imputed DNA sequence variants. After data edits and filtering on reliability, the number of bulls included in the analyses ranged from 11,880 (hypocalcemia) to 24,699 (livability). GWAS was performed using a mixed-model association test, and a Bayesian fine-mapping procedure was conducted to calculate a posterior probability of causality to each variant and gene in the candidate regions. The GWAS detected a total of eight genome-wide significant associations for three traits, cow livability, ketosis, and hypocalcemia, including the bovine Major Histocompatibility Complex (MHC) region associated with livability. Our fine-mapping of associated regions reported 20 candidate genes with the highest posterior probabilities of causality for cattle health. Combined with transcriptome data across multiple tissues in cattle, we further exploited these candidate genes to identify specific expression patterns in disease-related tissues and relevant biological explanations such as the expression of Group-specific Component (GC) in the liver and association with mastitis as well as the Coiled-Coil Domain Containing 88C (CCDC88C) expression in CD8 cells and association with cow livability. CONCLUSIONS Collectively, our analyses report six significant associations and 20 candidate genes of cattle health. With the integration of multi-tissue transcriptome data, our results provide useful information for future functional studies and better understanding of the biological relationship between genetics and disease susceptibility in cattle.
Collapse
Affiliation(s)
- Ellen Freebern
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742 USA
| | - Daniel J. A. Santos
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742 USA
| | - Lingzhao Fang
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742 USA
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Service, USDA, Beltsville, MD 20705 USA
| | - Jicai Jiang
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742 USA
| | | | - George E. Liu
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Service, USDA, Beltsville, MD 20705 USA
| | - Paul M. VanRaden
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Service, USDA, Beltsville, MD 20705 USA
| | - Christian Maltecca
- Department of Animal Science, North Carolina State University, Raleigh, 27695 USA
| | - John B. Cole
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Service, USDA, Beltsville, MD 20705 USA
| | - Li Ma
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742 USA
| |
Collapse
|
11
|
Kang K, Li J, Li R, Xu X, Liu J, Qin L, Huang T, Wu J, Jiao M, Wei M, Wang H, Wang T, Zhang Q. Potentially Critical Roles of NDUFB5, TIMMDC1, and VDAC3 in the Progression of Septic Cardiomyopathy Through Integrated Bioinformatics Analysis. DNA Cell Biol 2019; 39:105-117. [PMID: 31794266 DOI: 10.1089/dna.2019.4859] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Septic cardiomyopathy (SC) is a rare and harmful cardiovascular disease with decreased left ventricular (LV) output and multiple organ failure, which poses a serious threat to human life. Despite the advances in SC, its diagnostic basis and treatment methods are limited, and the specific diagnostic biomarkers and its candidate regulatory targets have not yet been fully established. In this study, the GSE79962 gene expression profile was retrieved, with 20 patients with SC and 11 healthy donors as control. Weighted gene coexpression network analysis (WGCNA) was employed to investigate gene modules that were strongly correlated with clinical phenotypes. Blue module was found to be most significantly related to SC. Moreover, Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed on the coexpression genes in blue module and showed that it was associated with metabolic pathways, oxidative phosphorylation, and cardiac muscle contraction. Furthermore, a total of 10 hub genes NDUFB5, TIMMDC1, VDAC3, COQ10A, MRPL16 (mitochondrial ribosomal protein L16), C3orf43, TMEM182, DLAT, NDUFA8, and PDHB (pyruvate dehydrogenase E1 beta subunit) in the blue module were identified at transcriptional level and further validated at translational level in myocardium of an lipopolysaccharide-induced septic cardiac dysfunction mouse model. Overall, the results of quantitative real-time polymerase chain reaction were consistent with most of the microarray analysis results. Intriguingly, we observed that the highest change was NDUFB5, TIMMDC1, and VDAC3. These identified and validated genes provided references that would advance the understanding of molecular mechanisms of SC. Taken together, using WGCNA, the hub genes NDUFB5, TIMMDC1, and VDAC3 might serve as potential biomarkers for diagnosis and/or therapeutic targets for precise treatment of SC in the future.
Collapse
Affiliation(s)
- Kai Kang
- Department of Cardiology of Affiliated Hospital, Weifang Medical University, Weifang, China
| | - Jingtian Li
- Department of Cardiology of Affiliated Hospital, Weifang Medical University, Weifang, China
| | - Ruidong Li
- Graduate Program in Genetics, Genomics, and Bioinformatics, University of California, Riverside, Riverside, California
| | - Xiufeng Xu
- Department of Neurology of Affiliated Hospital, Weifang Medical University, Weifang, China
| | - Jianli Liu
- Department of Cardiology of Affiliated Hospital, Weifang Medical University, Weifang, China
| | - Limin Qin
- Department of Cardiology of Affiliated Hospital, Weifang Medical University, Weifang, China
| | - Tao Huang
- Department of Cardiology of Affiliated Hospital, Weifang Medical University, Weifang, China
| | - Jinhua Wu
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Jiao
- Department of Cardiology of Affiliated Hospital, Weifang Medical University, Weifang, China
| | - Miaomiao Wei
- Department of Cardiology of Affiliated Hospital, Weifang Medical University, Weifang, China
| | - Hongjie Wang
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tao Wang
- Department of Cardiology of Affiliated Hospital, Weifang Medical University, Weifang, China
| | - Quan Zhang
- Department of Cardiology of Affiliated Hospital, Weifang Medical University, Weifang, China
| |
Collapse
|
12
|
Hsing EW, Shiah SG, Peng HY, Chen YW, Chuu CP, Hsiao JR, Lyu PC, Chang JY. TNF-α-induced miR-450a mediates TMEM182 expression to promote oral squamous cell carcinoma motility. PLoS One 2019; 14:e0213463. [PMID: 30893332 PMCID: PMC6426234 DOI: 10.1371/journal.pone.0213463] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 02/21/2019] [Indexed: 12/20/2022] Open
Abstract
Distant metastasis leads oral cancer patients into a poor survival rate and a high recurrence stage. During tumor progression, dysregulated microRNAs (miRNAs) have been reported to involve tumor initiation and modulate oral cancer malignancy. MiR-450a was significantly upregulated in oral squamous cell carcinoma (OSCC) patients without functional reports. This study was attempted to uncover the molecular mechanism of novel miR-450a in OSCC. Mir-450a expression was examined by quantitative RT-PCR, both in OSCC cell lines and patients. Specific target of miR-450a was determined by software prediction, luciferase reporter assay, and correlation with target protein expression. The functions of miR-450a and TMEM182 were accessed by adhesion and transwell invasion analyses. Determination of the expression and cellular localization of TMEM182 was examined by RT-PCR and by immunofluorescence staining. The signaling pathways involved in regulation of miR-450a were investigated using the kinase inhibitors. Overexpression of miR-450a in OSCC cells impaired cell adhesion ability and induced invasiveness, which demonstrated the functional role of miR-450a as an onco-miRNA. Interestingly, tumor necrosis factor alpha (TNF-α)-mediated expression of TMEM182 was regulated by miR-450a induction. MiR-450a-reduced cellular adhesion was abolished by TMEM182 restoration. Furthermore, the oncogenic activity of TNF-α/miR-450a/TMEM182 axis was primarily through activating extracellular signal-regulated kinase 1/2 (ERK1/2) signaling pathway. ERK1/2 inhibitor prevented the TNF-α-induced miR-450a expression and enhanced adhesion ability. Our data suggested that TNF-α-induced ERK1/2-dependent miR-450a against TMEM182 expression exerted a great influence on increasing OSCC motility. Overall, our results provide novel molecular insights into how TNF-α contributes to oral carcinogenesis through miR-450a that targets TMEM182.
Collapse
Affiliation(s)
- En-Wei Hsing
- National Institute of Cancer Research, National Health Research Institutes, Miaoli, Taiwan
- Structural Biology Program, Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
| | - Shine-Gwo Shiah
- National Institute of Cancer Research, National Health Research Institutes, Miaoli, Taiwan
| | - Hsuan-Yu Peng
- National Institute of Cancer Research, National Health Research Institutes, Miaoli, Taiwan
| | - Ya-Wen Chen
- National Institute of Cancer Research, National Health Research Institutes, Miaoli, Taiwan
| | - Chih-Pin Chuu
- Institute of Cellular and System Medicine, National Health Research Institutes, Miaoli, Taiwan
| | - Jenn-Ren Hsiao
- Department of Otolaryngology, Head and Neck Collaborative Oncology Group, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ping-Chiang Lyu
- Structural Biology Program, Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
| | - Jang-Yang Chang
- National Institute of Cancer Research, National Health Research Institutes, Miaoli, Taiwan
- Division of Hematology and Oncology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- * E-mail:
| |
Collapse
|
13
|
Yau WW, Singh BK, Lesmana R, Zhou J, Sinha RA, Wong KA, Wu Y, Bay BH, Sugii S, Sun L, Yen PM. Thyroid hormone (T 3) stimulates brown adipose tissue activation via mitochondrial biogenesis and MTOR-mediated mitophagy. Autophagy 2018; 15:131-150. [PMID: 30209975 DOI: 10.1080/15548627.2018.1511263] [Citation(s) in RCA: 134] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The thyroid hormone triiodothyronine (T3) activates thermogenesis by uncoupling electron transport from ATP synthesis in brown adipose tissue (BAT) mitochondria. Although T3 can induce thermogenesis by sympathetic innervation, little is known about its cell autonomous effects on BAT mitochondria. We thus examined effects of T3 on mitochondrial activity, autophagy, and metabolism in primary brown adipocytes and BAT and found that T3 increased fatty acid oxidation and mitochondrial respiration as well as autophagic flux, mitophagy, and mitochondrial biogenesis. Interestingly, there was no significant induction of intracellular reactive oxygen species (ROS) despite high mitochondrial respiration and UCP1 induction by T3. However, when cells were treated with Atg5 siRNA to block autophagy, induction of mitochondrial respiration by T3 decreased, and was accompanied by ROS accumulation, demonstrating a critical role for autophagic mitochondrial turnover. We next generated an Atg5 conditional knockout mouse model (Atg5 cKO) by injecting Ucp1 promoter-driven Cre-expressing adenovirus into Atg5Flox/Flox mice to examine effects of BAT-specific autophagy on thermogenesis in vivo. Hyperthyroid Atg5 cKO mice exhibited lower body temperature than hyperthyroid or euthyroid control mice. Metabolomic analysis showed that T3 increased short and long chain acylcarnitines in BAT, consistent with increased β-oxidation. T3 also decreased amino acid levels, and in conjunction with SIRT1 activation, decreased MTOR activity to stimulate autophagy. In summary, T3 has direct effects on mitochondrial autophagy, activity, and turnover in BAT that are essential for thermogenesis. Stimulation of BAT activity by thyroid hormone or its analogs may represent a potential therapeutic strategy for obesity and metabolic diseases. Abbreviations: ACACA: acetyl-Coenzyme A carboxylase alpha; AMPK: AMP-activated protein kinase; Acsl1: acyl-CoA synthetase long-chain family member 1; ATG5: autophagy related 5; ATG7: autophagy related 7; ATP: adenosine triphosphate; BAT: brown adipose tissue; cKO: conditional knockout; COX4I1: cytochrome c oxidase subunit 4I1; Cpt1b: carnitine palmitoyltransferase 1b, muscle; CQ: chloroquine; DAPI: 4',6-diamidino-2-phenylindole; DIO2: deiodinase, iodothyronine, type 2; DMEM: Dulbecco's modified Eagle's medium; EIF4EBP1: eukaryotic translation initiation factor 4E binding protein 1; Fabp4: fatty acid binding protein 4, adipocyte; FBS: fetal bovine serum; FCCP: carbonyl cyanide-4-(trifluoromethoxy)phenylhydrazone; FGF: fibroblast growth factor; FOXO1: forkhead box O1; GAPDH: glyceraldehyde-3-phosphate dehydrogenase; GFP: green fluorescent protein; Gpx1: glutathione peroxidase 1; Lipe: lipase, hormone sensitive; MAP1LC3B: microtubule-associated protein 1 light chain 3; mRNA: messenger RNA; MTORC1: mechanistic target of rapamycin kinase complex 1; NAD: nicotinamide adenine dinucleotide; Nrf1: nuclear respiratory factor 1; OCR: oxygen consumption rate; PBS: phosphate-buffered saline; PCR: polymerase chain reaction; PPARGC1A: peroxisome proliferative activated receptor, gamma, coactivator 1 alpha; Pnpla2: patatin-like phospholipase domain containing 2; Prdm16: PR domain containing 16; PRKA: protein kinase, AMP-activated; RPS6KB: ribosomal protein S6 kinase; RFP: red fluorescent protein; ROS: reactive oxygen species; SD: standard deviation; SEM: standard error of the mean; siRNA: small interfering RNA; SIRT1: sirtuin 1; Sod1: superoxide dismutase 1, soluble; Sod2: superoxide dismutase 2, mitochondrial; SQSTM1: sequestosome 1; T3: 3,5,3'-triiodothyronine; TFEB: transcription factor EB; TOMM20: translocase of outer mitochondrial membrane 20; UCP1: uncoupling protein 1 (mitochondrial, proton carrier); ULK1: unc-51 like kinase 1; VDAC1: voltage-dependent anion channel 1; WAT: white adipose tissue.
Collapse
Affiliation(s)
- Winifred W Yau
- a Laboratory of Hormonal Regulation , Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School , Singapore
| | - Brijesh K Singh
- a Laboratory of Hormonal Regulation , Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School , Singapore
| | - Ronny Lesmana
- a Laboratory of Hormonal Regulation , Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School , Singapore.,b Physiology Division, Department of Anatomy, Physiology and Biology Cell, Faculty of Medicine , Universitas Padjadjaran , Bandung , Indonesia.,c Central laboratory , Universitas Padjadjaran , Bandung , Indonesia
| | - Jin Zhou
- a Laboratory of Hormonal Regulation , Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School , Singapore
| | - Rohit A Sinha
- a Laboratory of Hormonal Regulation , Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School , Singapore.,d Department of Endocrinology , Sanjay Gandhi Postgraduate Institute of Medical Sciences , Lucknow , India
| | - Kiraely A Wong
- a Laboratory of Hormonal Regulation , Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School , Singapore
| | - Yajun Wu
- e Department of Anatomy , Yong Loo Lin School of Medicine, National University of Singapore , Singapore
| | - Boon-Huat Bay
- e Department of Anatomy , Yong Loo Lin School of Medicine, National University of Singapore , Singapore
| | - Shigeki Sugii
- a Laboratory of Hormonal Regulation , Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School , Singapore.,f Fat Metabolism and Stem Cell Group , Singapore Bioimaging Consortium, A*STAR , Singapore
| | - Lei Sun
- a Laboratory of Hormonal Regulation , Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School , Singapore
| | - Paul M Yen
- a Laboratory of Hormonal Regulation , Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School , Singapore.,g Sarah W. Stedman Nutrition and Metabolism Center, Departments of Medicine and Pharmacology and Cancer Biology , Duke University Medical Center , Durham , NC , USA
| |
Collapse
|
14
|
Mudadu MA, Porto-Neto LR, Mokry FB, Tizioto PC, Oliveira PSN, Tullio RR, Nassu RT, Niciura SCM, Tholon P, Alencar MM, Higa RH, Rosa AN, Feijó GLD, Ferraz ALJ, Silva LOC, Medeiros SR, Lanna DP, Nascimento ML, Chaves AS, Souza ARDL, Packer IU, Torres RAA, Siqueira F, Mourão GB, Coutinho LL, Reverter A, Regitano LCA. Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle. BMC Genomics 2016; 17:235. [PMID: 26979536 PMCID: PMC4791965 DOI: 10.1186/s12864-016-2535-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 02/25/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Nelore is the major beef cattle breed in Brazil with more than 130 million heads. Genome-wide association studies (GWAS) are often used to associate markers and genomic regions to growth and meat quality traits that can be used to assist selection programs. An alternative methodology to traditional GWAS that involves the construction of gene network interactions, derived from results of several GWAS is the AWM (Association Weight Matrices)/PCIT (Partial Correlation and Information Theory). With the aim of evaluating the genetic architecture of Brazilian Nelore cattle, we used high-density SNP genotyping data (~770,000 SNP) from 780 Nelore animals comprising 34 half-sibling families derived from highly disseminated and unrelated sires from across Brazil. The AWM/PCIT methodology was employed to evaluate the genes that participate in a series of eight phenotypes related to growth and meat quality obtained from this Nelore sample. RESULTS Our results indicate a lack of structuring between the individuals studied since principal component analyses were not able to differentiate families by its sires or by its ancestral lineages. The application of the AWM/PCIT methodology revealed a trio of transcription factors (comprising VDR, LHX9 and ZEB1) which in combination connected 66 genes through 359 edges and whose biological functions were inspected, some revealing to participate in biological growth processes in literature searches. CONCLUSIONS The diversity of the Nelore sample studied is not high enough to differentiate among families neither by sires nor by using the available ancestral lineage information. The gene networks constructed from the AWM/PCIT methodology were a useful alternative in characterizing genes and gene networks that were allegedly influential in growth and meat quality traits in Nelore cattle.
Collapse
Affiliation(s)
- Maurício A Mudadu
- Embrapa Agricultural Informatics, Av. André Tosello, 209, Campinas, SP, Brazil. .,Embrapa Southeast Livestock, Rodovia Washington Luiz, Km 234, São Carlos, SP, Brazil.
| | - Laercio R Porto-Neto
- Commonwealth Scientific and Industrial Research Organization - Agriculture, 306 Carmody Road, Brisbane, QLD, Australia
| | - Fabiana B Mokry
- Department of Genetics and Evolution, Federal University of São Carlos, Rodovia Washington Luiz, Km 235, São Carlos, SP, Brazil
| | - Polyana C Tizioto
- Department of Genetics and Evolution, Federal University of São Carlos, Rodovia Washington Luiz, Km 235, São Carlos, SP, Brazil
| | - Priscila S N Oliveira
- Department of Genetics and Evolution, Federal University of São Carlos, Rodovia Washington Luiz, Km 235, São Carlos, SP, Brazil
| | - Rymer R Tullio
- Embrapa Southeast Livestock, Rodovia Washington Luiz, Km 234, São Carlos, SP, Brazil
| | - Renata T Nassu
- Embrapa Southeast Livestock, Rodovia Washington Luiz, Km 234, São Carlos, SP, Brazil
| | - Simone C M Niciura
- Embrapa Southeast Livestock, Rodovia Washington Luiz, Km 234, São Carlos, SP, Brazil
| | - Patrícia Tholon
- Embrapa Southeast Livestock, Rodovia Washington Luiz, Km 234, São Carlos, SP, Brazil
| | - Maurício M Alencar
- Embrapa Southeast Livestock, Rodovia Washington Luiz, Km 234, São Carlos, SP, Brazil
| | - Roberto H Higa
- Embrapa Agricultural Informatics, Av. André Tosello, 209, Campinas, SP, Brazil
| | - Antônio N Rosa
- Embrapa Beef Cattle, Av. Rádio Maia, 830, Campo Grande, MS, Brazil
| | - Gélson L D Feijó
- Embrapa Beef Cattle, Av. Rádio Maia, 830, Campo Grande, MS, Brazil
| | - André L J Ferraz
- State University of Mato Grosso do Sul, Rodovia Uems-Aquidauana km 12, Aquidauana, MS, Brazil
| | - Luiz O C Silva
- Embrapa Beef Cattle, Av. Rádio Maia, 830, Campo Grande, MS, Brazil
| | | | - Dante P Lanna
- Department of Animal Science, University of São Paulo, Av. Padua Dias, 11306, Piracicaba, SP, Brazil
| | - Michele L Nascimento
- Department of Animal Science, University of São Paulo, Av. Padua Dias, 11306, Piracicaba, SP, Brazil
| | - Amália S Chaves
- Department of Animal Science, University of São Paulo, Av. Padua Dias, 11306, Piracicaba, SP, Brazil
| | - Andrea R D L Souza
- Faculdade de Medicina Veterinaria e Zootecnia, Federal University of Mato Grosso do Sul, Av. Senador Filinto Müller, 2443, Campo Grande, MS, Brazil
| | - Irineu U Packer
- Department of Animal Science, University of São Paulo, Av. Padua Dias, 11306, Piracicaba, SP, Brazil
| | | | - Fabiane Siqueira
- Embrapa Beef Cattle, Av. Rádio Maia, 830, Campo Grande, MS, Brazil
| | - Gerson B Mourão
- Department of Animal Science, University of São Paulo, Av. Padua Dias, 11306, Piracicaba, SP, Brazil
| | - Luiz L Coutinho
- Department of Animal Science, University of São Paulo, Av. Padua Dias, 11306, Piracicaba, SP, Brazil
| | - Antonio Reverter
- Commonwealth Scientific and Industrial Research Organization - Agriculture, 306 Carmody Road, Brisbane, QLD, Australia
| | - Luciana C A Regitano
- Embrapa Southeast Livestock, Rodovia Washington Luiz, Km 234, São Carlos, SP, Brazil
| |
Collapse
|
15
|
Kim YK, Kim Y, Hwang MY, Shimokawa K, Won S, Kato N, Tabara Y, Yokota M, Han BG, Lee JH, Kim BJ. Identification of a genetic variant at 2q12.1 associated with blood pressure in East Asians by genome-wide scan including gene-environment interactions. BMC MEDICAL GENETICS 2014; 15:65. [PMID: 24903457 PMCID: PMC4059884 DOI: 10.1186/1471-2350-15-65] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Accepted: 06/02/2014] [Indexed: 01/01/2023]
Abstract
Background Genome-wide association studies have identified many genetic loci associated with blood pressure (BP). Genetic effects on BP can be altered by environmental exposures via multiple biological pathways. Especially, obesity is one of important environmental risk factors that can have considerable effect on BP and it may interact with genetic factors. Given that, we aimed to test whether genetic factors and obesity may jointly influence BP. Methods We performed meta-analyses of genome-wide association data for systolic blood pressure (SBP) and diastolic blood pressure (DBP) that included analyses of interaction between single nucleotide polymorphisms (SNPs) and the obesity-related anthropometric measures, body mass index (BMI), height, weight, and waist/hip ratio (WHR) in East-Asians (n = 12,030). Results We identified that rs13390641 on 2q12.1 demonstrated significant association with SBP when the interaction between SNPs and BMI was considered (P < 5 × 10 -8). The gene located nearest to rs13390641, TMEM182, encodes transmembrane protein 182. In stratified analyses, the effect of rs13390641 on BP was much stronger in obese individuals (BMI ≥ 30) than non-obese individuals and the effect of BMI on BP was strongest in individuals with the homozygous A allele of rs13390641. Conclusions Our analyses that included interactions between SNPs and environmental factors identified a genetic variant associated with BP that was overlooked in standard analyses in which only genetic factors were included. This result also revealed a potential mechanism that integrates genetic factors and obesity related traits in the development of high BP.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Bong-Jo Kim
- Division of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, 363-700 Chungcheongbuk-do, Republic of Korea.
| |
Collapse
|
16
|
Characterization of genes for beef marbling based on applying gene coexpression network. Int J Genomics 2014; 2014:708562. [PMID: 24624372 PMCID: PMC3929194 DOI: 10.1155/2014/708562] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2013] [Revised: 11/19/2013] [Accepted: 12/07/2013] [Indexed: 12/29/2022] Open
Abstract
Marbling is an important trait in characterization beef quality and a major factor for determining the price of beef in the Korean beef market. In particular, marbling is a complex trait and needs a system-level approach for identifying candidate genes related to the trait. To find the candidate gene associated with marbling, we used a weighted gene coexpression network analysis from the expression value of bovine genes. Hub genes were identified; they were topologically centered with large degree and BC values in the global network. We performed gene expression analysis to detect candidate genes in M. longissimus with divergent marbling phenotype (marbling scores 2 to 7) using qRT-PCR. The results demonstrate that transmembrane protein 60 (TMEM60) and dihydropyrimidine dehydrogenase (DPYD) are associated with increasing marbling fat. We suggest that the network-based approach in livestock may be an important method for analyzing the complex effects of candidate genes associated with complex traits like marbling or tenderness.
Collapse
|
17
|
Ren G, Beech C, Smas CM. The immunoglobulin superfamily protein differentiation of embryonic stem cells 1 (dies1) has a regulatory role in preadipocyte to adipocyte conversion. PLoS One 2013; 8:e65531. [PMID: 23799023 PMCID: PMC3684596 DOI: 10.1371/journal.pone.0065531] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2013] [Accepted: 05/01/2013] [Indexed: 11/19/2022] Open
Abstract
Differentiation of Embryonic Stem Cells 1 (Dies1) was recently identified as a novel type I immunoglobulin (IgG) domain-containing plasma membrane protein important for effective differentiation of a murine pluripotent embryonic stem cell line. In this setting, Dies1 enhances bone morphogenetic protein 4 (BMP4) signaling. Here we show Dies1 transcript expression is induced ∼225-fold during in vitro adipogenesis of 3T3-L1 murine preadipocytes. Immunocytochemical imaging using ectopic expression of Flag-tagged Dies1 in 3T3-L1 adipocytes revealed localization to the adipocyte plasma membrane. Modulation of adipocyte phenotype with with tumor necrosis factor-α (TNFα) treatment or by siRNA knockdown of the master pro-adipogenic transcription factor peroxisome proliferator activated receptor gamma (PPARγ) resulted in a 90% and 60% reduction of Dies1 transcript levels, respectively. Moreover, siRNA-mediated Dies1 knockdown in 3T3-L1 preadipocytes inhibited adipogenic conversion. Such cultures had a 35% decrease in lipid content and a 45%–65% reduction in expression of key adipocyte transcripts, including that for PPARγ. The standard protocol for full in vitro adipogenic conversion of committed preadipocytes, such as 3T3-L1, does not include BMP4 treatment. Thus we posit the positive role of Dies1 in adipogenesis, unlike that for Dies1 in differentiation of embryonic stem cells, does not include its pro-BMP4 effects. In support of this idea, 3T3-L1 adipocytes knocked down for Dies1 did not evidence decreased phospho-Smad1 levels upon BMP4 exposure. qPCR analysis of Dies1 transcript in multiple murine and human tissues reveals high enrichment in white adipose tissue (WAT). Interestingly, we observed a 10-fold induction of Dies1 transcript in WAT of fasted vs. fed mice, suggesting a role for Dies1 in nutritional response of mature fat cells in vivo. Together our data identify Dies1 as a new differentiation-dependent adipocyte plasma membrane protein whose expression is required for effective adipogenesis and that may also play a role in regard to nutritional status in WAT.
Collapse
Affiliation(s)
- Gang Ren
- Department of Biochemistry and Cancer Biology, University of Toledo College of Medicine, Toledo, Ohio, United States of America
| | - Cameron Beech
- Department of Biochemistry and Cancer Biology, University of Toledo College of Medicine, Toledo, Ohio, United States of America
| | - Cynthia M. Smas
- Department of Biochemistry and Cancer Biology, University of Toledo College of Medicine, Toledo, Ohio, United States of America
- Center for Diabetes and Endocrine Research, University of Toledo College of Medicine, Toledo, Ohio, United States of America
- * E-mail:
| |
Collapse
|
18
|
Association of HK2 and NCK2 with normal tension glaucoma in the Japanese population. PLoS One 2013; 8:e54115. [PMID: 23349798 PMCID: PMC3551945 DOI: 10.1371/journal.pone.0054115] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2012] [Accepted: 12/06/2012] [Indexed: 12/26/2022] Open
Abstract
Although family studies and genome-wide association studies have shown that genetic factors play a role in glaucoma, it has been difficult to identify the specific genetic variants involved. We tested 669 single nucleotide polymorphisms (SNPs) from the region of chromosome 2 that includes the GLC1B glaucoma locus for association with primary open-angle glaucoma (POAG) and normal tension glaucoma (NTG) in the Japanese population. We performed a two-stage case-control study. The first cohort consisted of 123 POAG cases, 121 NTG cases and 120 controls: the second cohort consisted of 187 POAG cases, 286 NTG cases, and 271 controls. Out of six SNPs showing significant association with POAG in the first round screening, seven SNPs were tested in the second round. Rs678350 in the HK2 gene coding sequence showed significant allelic (p = 0.0027 in Stage Two, 2.7XE-4 in meta-analysis) association with POAG, and significant allelic (p = 4.7XE-4 in Stage Two, 1.0XE-5 in meta-analysis) association with NTG. Although alleles in the TMEM182 gene did not show significant association with glaucoma in the second round, subjects with the A/A allele in TMEM182 rs869833 showed worse visual field mean deviation (p = 0.01). Even though rs2033008 in the NCK2 gene coding sequence did not show significant association in the first round, it had previously shown association with NTG so it was tested for association with NTG in round 2 (p = 0.0053 in Stage Two). Immunohistochemistry showed that both HK2 and NCK2 are expressed in the retinal ganglion cell layer. Once multi-testing was taken into account, only HK2 showed significant association with POAG and NTG in Stage Two. Our data also support previous reports of NCK2 association with NTG, and raise questions about what role TMEM182 might play in phenotypic variability. Our data suggest that HK2 may play an important role in NTG in the Japanese population.
Collapse
|
19
|
Zhao YM, Basu U, Dodson MV, Basarb JA, Guan LL. Proteome differences associated with fat accumulation in bovine subcutaneous adipose tissues. Proteome Sci 2010; 8:14. [PMID: 20298566 PMCID: PMC2853513 DOI: 10.1186/1477-5956-8-14] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2009] [Accepted: 03/18/2010] [Indexed: 01/03/2023] Open
Abstract
Background The fat components of red meat products have been of interest to researchers due to the health aspects of excess fat consumption by humans. We hypothesized that differences in protein expression have an impact on adipose tissue formation during beef cattle development and growth. Therefore, in this study we evaluated the differences in the discernable proteome of subcutaneous adipose tissues of 35 beef crossbred steers [Charolais × Red Angus (CHAR) (n = 13) and Hereford × Angus (HEAN) (n = 22)] with different back fat (BF) thicknesses. The goal was to identify specific protein markers that could be associated with adipose tissue formation in beef cows. Results Approximately 541-580 protein spots were detected and compared in each crossbred group, and 33 and 36 protein spots showed expression differences between tissues with high and low BF thicknesses from HEAN and CHAR crossbed, respectively. The annexin 1 protein was highly expressed in both crossbred steers that had a higher BF thickness (p < 0.05) and this was further validated by a western blot analysis. In 13 tissues of CHAR animals and 22 tissues of HEAN animals, the relative expression of annexin 1 was significantly different (p < 0.05) between tissues with high and low BF thicknesses. Conclusion The increased expression of annexin 1 protein has been found to be associated with higher BF thickness in both crossbred steers. This result lays the foundation for future studies to develop the protein marker for assessing animals with different BF thickness.
Collapse
Affiliation(s)
- Yong Mei Zhao
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta T6G 2P5, Canada.,Department of Life Science, Xi'an University of Arts and Science, Shaanxi, Xi'an710065, PR China
| | - Urmila Basu
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta T6G 2P5, Canada
| | - Michael V Dodson
- Department of Animal Sciences, Washington State University, PO Box 646310, Pullman, Washington, 99164, USA
| | - John A Basarb
- Alberta Agriculture and Rural Development, Lacombe Research Centre, Lacombe, AB, T4L1W1, Canada
| | - Le Luo Guan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta T6G 2P5, Canada
| |
Collapse
|