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Guo J, Wang J, Zhang K, Yang Z, Li B, Pan Y, Yu H, Yu S, Abbas Raza SH, Kuraz Abebea B, Zan L. Molecular cloning of TPM3 gene in qinchuan cattle and its effect on myoblast proliferation and differentiation. Anim Biotechnol 2024; 35:2345238. [PMID: 38775564 DOI: 10.1080/10495398.2024.2345238] [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] [Indexed: 05/30/2024]
Abstract
Tropomyosin 3 (TPM3) plays a significant role as a regulatory protein in muscle contraction, affecting the growth and development of skeletal muscles. Despite its importance, limited research has been conducted to investigate the influence of TPM3 on bovine skeletal muscle development. Therefore, this study revealed the role of TPM3 in bovine myoblast growth and development. This research involved conducting a thorough examination of the Qinchuan cattle TPM3 gene using bioinformatics tools to examine its sequence and structural characteristics. Furthermore, TPM3 expression was evaluated in various bovine tissues and cells using quantitative real-time polymerase chain reaction (qRT-PCR). The results showed that the coding region of TPM3 spans 855 bp, with the 161st base being the T base, encoding a protein with 284 amino acids and 19 phosphorylation sites. This protein demonstrated high conservation across species while displaying a predominant α-helix secondary structure despite being an unstable acidic protein. Notably, a noticeable increase in TPM3 expression was observed in the longissimus dorsi muscle and myocardium of calves and adult cattle. Expression patterns varied during different stages of myoblast differentiation. Functional studies that involved interference with TPM3 in Qinchuan cattle myoblasts revealed a very significantly decrease in S-phase cell numbers and EdU-positive staining (P < 0.01), and disrupted myotube morphology. Moreover, interference with TPM3 resulted in significantly (P < 0.05) or highly significantly (P < 0.01) decreased mRNA and protein levels of key proliferation and differentiation markers, indicating its role in the modulation of myoblast behavior. These findings suggest that TPM3 plays an essential role in bovine skeletal muscle growth by influencing myoblast proliferation and differentiation. This study provides a foundation for further exploration into the mechanisms underlying TPM3-mediated regulation of bovine muscle development and provides valuable insights that could guide future research directions as well as potential applications for livestock breeding and addressing muscle-related disorders.
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Affiliation(s)
- Juntao Guo
- College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Jianfang Wang
- College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Ke Zhang
- College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Zhimei Yang
- College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Bingzhi Li
- Yangling Vocational and Technical College, Yangling, China
| | - Yueting Pan
- College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Hengwei Yu
- College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Shengchen Yu
- College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Sayed Haidar Abbas Raza
- Guangdong Provincial Key Laboratory of Food Quality and Safety/Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, China
| | - Belete Kuraz Abebea
- College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A and F University, Yangling, China
- National Beef Cattle Improvement Center, Yangling, China
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Ding W, Gong W, Liu H, Hu H, Shi L, Ren X, Cao Y, Zhang A, Shi X, Li Z, Bou T, Dugarjaviin M, Bai D. Changes of mRNA, miRNA and lncRNA expression contributing to skeletal muscle differences between fetus and adult Mongolian horses. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2024; 52:101294. [PMID: 39180870 DOI: 10.1016/j.cbd.2024.101294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 07/15/2024] [Accepted: 07/15/2024] [Indexed: 08/27/2024]
Abstract
The growth and development of myofibers, as the fundamental units comprising muscle tissue, and their composition type are indeed among the most crucial factors influencing skeletal muscle types. Muscle fiber adaptation is closely associated with alterations in physiological conditions. Muscle fiber types undergo dynamic changes in fetus and adult horses. Our aim is to investigate the mechanisms influencing the differences in muscle fiber types between fetal and adult stages of Mongolian horses. The study investigated the distribution of muscle fiber types within longissimus dorsi muscle of fetus and adult Mongolian horses. A total of 652 differentially expressed genes (DEGs), 476 Differentially expressed lncRNAs (DELs), and 174 Differentially expressed miRNAs (DEMIRs) were identified using deep RNA-seq analysis. The results of functional analysis reveal the transformations in muscle fiber type from the fetal to adult stage in Mongolian horses. The up-regulated DEGs were implicated in the development and differentiation of muscle fibers, while down-regulated DEGs were associated with muscle fiber contraction, transformation, and metabolism. Additionally, connections between non-coding RNA and mRNA landscapes were identified based on their functional alterations, some non-coding RNA target genes may be associated with immunity. These data have broadened our understanding of the specific roles and interrelationships among regulatory molecules involved in Mongolian horse development, this provides new perspectives for selecting and breeding superior individuals and for disease prevention.
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Affiliation(s)
- Wenqi Ding
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Wendian Gong
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Huiying Liu
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Hanwen Hu
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Lin Shi
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Xiujuan Ren
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Yuying Cao
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Aaron Zhang
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Xiaoyuan Shi
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Zheng Li
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Tugeqin Bou
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Manglai Dugarjaviin
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Dongyi Bai
- Key Laboratory of Equus Germplasm Innovation (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equus Research Center, College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
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Lin Y, Sun L, Lv Y, Liao R, Zhang K, Zhou J, Zhang S, Xu J, He M, Wu C, Zhang D, Shen X, Dai J, Gao J. Transcriptomic and metabolomic dissection of skeletal muscle of crossbred Chongming white goats with different meat production performance. BMC Genomics 2024; 25:443. [PMID: 38704563 PMCID: PMC11069289 DOI: 10.1186/s12864-024-10304-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 04/12/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND The transcriptome and metabolome dissection of the skeletal muscle of high- and low- growing individuals from a crossbred population of the indigenous Chongming white goat and the Boer goat were performed to discover the potential functional differentially expressed genes (DEGs) and differential expression metabolites (DEMs). RESULTS A total of 2812 DEGs were detected in 6 groups at three time stages (3,6,12 Month) in skeletal muscle using the RNA-seq method. A DEGs set containing seven muscle function related genes (TNNT1, TNNC1, TNNI1, MYBPC2, MYL2, MHY7, and CSRP3) was discovered, and their expression tended to increase as goat muscle development progressed. Seven DEGs (TNNT1, FABP3, TPM3, DES, PPP1R27, RCAN1, LMOD2) in the skeletal muscle of goats in the fast-growing and slow-growing groups was verified their expression difference by reverse transcription-quantitative polymerase chain reaction. Further, through the Liquid chromatography-mass spectrometry (LC-MS) approach, a total of 183 DEMs in various groups of the muscle samples and these DEMs such as Queuine and Keto-PGF1α, which demonstrated different abundance between the goat fast-growing group and slow-growing group. Through weighted correlation network analysis (WGCNA), the study correlated the DEGs with the DEMs and identified 4 DEGs modules associated with 18 metabolites. CONCLUSION This study benefits to dissection candidate genes and regulatory networks related to goat meat production performance, and the joint analysis of transcriptomic and metabolomic data provided insights into the study of goat muscle development.
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Affiliation(s)
- Yuexia Lin
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Lingwei Sun
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Yuhua Lv
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Rongrong Liao
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Keqing Zhang
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Jinyong Zhou
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Shushan Zhang
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Jiehuan Xu
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Mengqian He
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Caifeng Wu
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Defu Zhang
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Xiaohui Shen
- Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China.
| | - Jianjun Dai
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China.
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China.
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China.
| | - Jun Gao
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China.
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China.
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China.
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Wang X, Peng Y, Liang H, Zahoor Khan M, Ren W, Huang B, Chen Y, Xing S, Zhan Y, Wang C. Comprehensive transcriptomic analysis unveils the interplay of mRNA and LncRNA expression in shaping collagen organization and skin development in Dezhou donkeys. Front Genet 2024; 15:1335591. [PMID: 38404668 PMCID: PMC10884126 DOI: 10.3389/fgene.2024.1335591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/26/2024] [Indexed: 02/27/2024] Open
Abstract
The primary focus of donkey hide gelatin processing lies in the dermal layer of donkey hide due to its abundant collagen content. However, the molecular mechanism involved in collagen organization and skin development in donkey skin tissue across various developmental stages remains incomplete. The current study aims to investigate the transcriptomic screening of lncRNAs and mRNA associated with skin development and collagen organization across different ages in Dezhou donkeys' skin. In the pursuit of this objective, we used nine skin tissue samples obtained from Dezhou donkeys at various ages including 8-month fetal stage, followed by 2 and 8 years. RNA-seq analysis was performed for the transcriptomic profiling of differentially expressed genes (DEGs) and lncRNAs associated with skin development in different age groups. Our investigation revealed the presence of 6,582, 6,455, and 405 differentially expressed genes and 654, 789, and 29 differentially expressed LncRNAs within the skin tissues of Dezhou donkeys when comparing young donkeys (YD) vs. middle-aged donkeys (MD), YD vs. old donkeys (OD), and MD vs. OD, respectively. Furthermore, we identified Collagen Type I Alpha 1 Chain (COL1A1), Collagen Type III Alpha 1 Chain (COL3A1), and Collagen Type VI Alpha 5 Chain (COL6A5) as key genes involved in collagen synthesis, with COL1A1 being subject to cis-regulation by several differentially expressed LncRNAs, including ENSEAST00005041187, ENSEAST00005038497, and MSTRG.17248.1, among others. Interestingly, collagen organizational and skin development linked pathways including Protein digestion and absorption, metabolic pathways, Phosphatidylinositol 3-Kinase-Protein Kinase B signaling pathway (PI3K-Akt signaling pathway), Extracellular Matrix-Receptor Interaction (ECM-receptor interaction), and Relaxin signaling were also reported across different age groups in Dezhou donkey skin. These findings enhance our comprehension of the molecular mechanisms underlying Dezhou donkey skin development and collagen biosynthesis and organization, thus furnishing a solid theoretical foundation for future research endeavors in this domain.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Yandong Zhan
- Liaocheng Research Institute of Donkey High-Efficiency Breeding, Liaocheng University, Liaocheng, China
| | - Changfa Wang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding, Liaocheng University, Liaocheng, China
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Zhao H, Jiang R, Feng Z, Wang X, Zhang C. Transcription factor LHX9 (LIM Homeobox 9) enhances pyruvate kinase PKM2 activity to induce glycolytic metabolic reprogramming in cancer stem cells, promoting gastric cancer progression. J Transl Med 2023; 21:833. [PMID: 37980488 PMCID: PMC10657563 DOI: 10.1186/s12967-023-04658-7] [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: 05/22/2023] [Accepted: 10/25/2023] [Indexed: 11/20/2023] Open
Abstract
BACKGROUND Glycolytic metabolic reprogramming is a phenomenon in which cells undergo altered metabolic patterns during malignant transformation, mainly involving various aspects of glycolysis, electron transport chain, oxidative phosphorylation, and pentose phosphate pathway. This reprogramming phenomenon can be used as one of the markers of tumorigenesis and development. Pyruvate kinase is the third rate-limiting enzyme in the sugar metabolism process by specifically catalyzing the irreversible conversion of PEP to pyruvate. PURPOSE This study aimed to reveal the critical mediator(s) that regulate glycolytic metabolism reprogramming in gastric cancer and their underlying molecular mechanism and then explore the molecular mechanisms by which LHX9 may be involved in regulating gastric cancer (GC) progression. METHODS Firstly, we downloaded the GC and glycolysis-related microarray datasets from TCGA and MSigDB databases and took the intersection to screen out the transcription factor LHX9 that regulates GC glycolytic metabolic reprogramming. Software packages were used for differential analysis, single gene predictive analysis, and Venn diagram. In addition, an enrichment analysis of the glycolytic pathway was performed. Immunohistochemical staining was performed for LHX9 and PKM2 protein expression in 90 GC patients, and the association between their expressions was evaluated by Spearman's correlation coefficient method. Three human GC cell lines (AGS, NCI-N87, HGC-27) were selected for in vitro experimental validation. Flow cytometry was utilized to determine the stem cell marker CD44 expression status in GCSCs. A sphere formation assay was performed to evaluate the sphere-forming capabilities of GCSCs. In addition, RT-qPCR and Western blot experiments were employed to investigate the tumor stem cell markers OCT4 and SOX2 expression levels in GCSCs. Furthermore, a lentiviral expression vector was constructed to assess the impact of downregulating LHX9 or PKM2 on the glycolytic metabolic reprogramming of GCSCs. The proliferation, migration, and invasion of GCSCs were then detected by CCK-8, EdU, and Transwell assays. Subsequently, the mutual binding of LHX9 and PKM2 was verified using chromatin immunoprecipitation and dual luciferase reporter genes. In vivo experiments were verified by establishing a subcutaneous transplantation tumor model in nude mice, observing the size and volume of tumors in vivo in nude mice, and obtaining fresh tissues for subsequent experiments. RESULTS Bioinformatics analysis revealed that LHX9 might be involved in the occurrence and development of GC through regulating glycolytic metabolism. High LHX9 expression could be used as a reference marker for prognosis prediction of GC patients. Clinical tissue assays revealed that LHX9 and PKM2 were highly expressed in GC tissues. Meanwhile, GC tissues also highly expressed glycolysis-associated protein GLUT1 and tumor cell stemness marker CD44. In vitro cellular assays showed that LHX9 could enhance its activity and induce glycolytic metabolic reprogramming in GCSCs through direct binding to PKM2. In addition, the knockdown of LHX9 inhibited PKM2 activity and glycolytic metabolic reprogramming and suppressed the proliferation, migration, and invasive ability of GCSCs. In vivo animal experiments further confirmed that the knockdown of LHX9 could reduce the tumorigenic ability of GCSCs in nude mice by inhibiting PKM2 activity and glycolytic metabolic reprogramming. CONCLUSION The findings suggest that both LHX9 and PKM2 are highly expressed in GCs, and LHX9 may induce the reprogramming of glycolytic metabolism through transcriptional activation of PKM2, enhancing the malignant biological properties of GCSCs and ultimately promoting GC progression.
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Affiliation(s)
- Hongying Zhao
- Department of Oncology, Xuzhou City Cancer Hospital, Xuzhou Third People's Hospital, Jiangsu Province, Xuzhou Hospital Affiliated to Jiangsu University, No. 131, Huancheng Road, Gulou District, Xuzhou, 221000, People's Republic of China.
| | - Rongke Jiang
- Department of Oncology, Xuzhou City Cancer Hospital, Xuzhou Third People's Hospital, Jiangsu Province, Xuzhou Hospital Affiliated to Jiangsu University, No. 131, Huancheng Road, Gulou District, Xuzhou, 221000, People's Republic of China
| | - Zhijing Feng
- Jiangsu University, Zhenjiang, 212013, People's Republic of China
| | - Xue Wang
- Department of Oncology, Xuzhou City Cancer Hospital, Xuzhou Third People's Hospital, Jiangsu Province, Xuzhou Hospital Affiliated to Jiangsu University, No. 131, Huancheng Road, Gulou District, Xuzhou, 221000, People's Republic of China
| | - Chunmei Zhang
- Department of Oncology, Xuzhou City Cancer Hospital, Xuzhou Third People's Hospital, Jiangsu Province, Xuzhou Hospital Affiliated to Jiangsu University, No. 131, Huancheng Road, Gulou District, Xuzhou, 221000, People's Republic of China
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Huang B, Khan MZ, Chai W, Ullah Q, Wang C. Exploring Genetic Markers: Mitochondrial DNA and Genomic Screening for Biodiversity and Production Traits in Donkeys. Animals (Basel) 2023; 13:2725. [PMID: 37684989 PMCID: PMC10486882 DOI: 10.3390/ani13172725] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/15/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
Donkeys (Equus asinus) play a pivotal role as essential livestock in arid and semi-arid regions, serving various purposes such as transportation, agriculture, and milk production. Despite their significance, donkey breeding has often been overlooked in comparison to other livestock species, resulting in limited genetic improvement programs. Preserving donkey genetic resources within each country necessitates the establishment of breed conservation programs, focusing on managing genetic diversity among populations. In recent years, significant strides have been made in sequencing and analyzing complete mitochondrial DNA (mtDNA) molecules in donkeys. Notably, numerous studies have honed in on the mitochondrial D-loop region, renowned for its remarkable variability and higher substitution rate within the mtDNA genome, rendering it an effective genetic marker for assessing genetic diversity in donkeys. Furthermore, genetic markers at the RNA/DNA level have emerged as indispensable tools for enhancing production and reproduction traits in donkeys. Traditional animal breeding approaches based solely on phenotypic traits, such as milk yields, weight, and height, are influenced by both genetic and environmental factors. To overcome these challenges, genetic markers, such as polymorphisms, InDel, or entire gene sequences associated with desirable traits in animals, have achieved widespread usage in animal breeding practices. These markers have proven increasingly valuable for facilitating the selection of productive and reproductive traits in donkeys. This comprehensive review examines the cutting-edge research on mitochondrial DNA as a tool for assessing donkey biodiversity. Additionally, it highlights the role of genetic markers at the DNA/RNA level, enabling the informed selection of optimal production and reproductive traits in donkeys, thereby driving advancements in donkey genetic conservation and breeding programs.
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Affiliation(s)
- Bingjian Huang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Agricultural Science and Engineering School, Liaocheng University, Liaocheng 252000, China
- College of Life Sciences, Liaocheng University, Liaocheng 252059, China
| | - Muhammad Zahoor Khan
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Agricultural Science and Engineering School, Liaocheng University, Liaocheng 252000, China
- Faculty of Veterinary and Animal Sciences, University of Agriculture, Dera Ismail Khan 29220, Pakistan
| | - Wenqiong Chai
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Agricultural Science and Engineering School, Liaocheng University, Liaocheng 252000, China
| | - Qudrat Ullah
- Faculty of Veterinary and Animal Sciences, University of Agriculture, Dera Ismail Khan 29220, Pakistan
| | - Changfa Wang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Agricultural Science and Engineering School, Liaocheng University, Liaocheng 252000, China
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Boonlaos A, Uddin MJ, Temyord K, Jattawa D, Kayan A. Muscle fiber characteristics and expression level of Troponin T3, Toll-like receptor 2, and Toll-like receptor 4 genes in chicken meat with white striping. Vet World 2023; 16:1415-1420. [PMID: 37621550 PMCID: PMC10446722 DOI: 10.14202/vetworld.2023.1415-1420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 05/31/2023] [Indexed: 08/26/2023] Open
Abstract
Background and Aim The poultry industry faces an emerging muscular defect in chicken meat called white striping (WS). The biological processes associated with WS myopathy are immune system activation, angiogenesis, hypoxia, cell death, and striated muscle contraction. We examined the Troponin T3 (TNNT3), Toll-like receptor 2 (TLR2), and Toll-like receptor 4 (TLR4) genes based on their functions related to muscle contraction and the innate immune system. This study aimed to determine the muscle fiber characteristics (MFCs) and expression level of TNNT3, TLR2, and TLR4 genes in white striping chicken meat (WSCM). Materials and Methods A total of 428 breast samples were randomly collected from a commercial poultry processing plant. The samples were classified into four levels: 0 (normal), 1 (moderate WS), 2 (severe WS), and 3 (extreme WS). Five samples per group were selected to evaluate MFCs, including total number of muscle fibers, muscle fiber diameter, cross-sectional area, endomysium thickness, and perimysium thickness. Five samples per group were selected for ribonucleic acid (RNA) isolation to evaluate the messenger RNA (mRNA) expression levels of TNNT3, TLR2, and TLR4 genes related to WS. Results Statistical analysis revealed that the total number of fibers, endomysium thickness, and perimysium thickness significantly differed between groups (p < 0.05). Muscle fiber diameter and cross-sectional area did not significantly differ (p > 0.05). The expression of the TNNT3 gene did not significantly differ among groups (p > 0.05). Toll-like receptor 2 and TLR4 mRNA expression significantly differed among groups (p < 0.05). Conclusion These detailed MFCs will provide baseline information to observe WS in chicken meat. Toll-like receptor 2 and TLR4 genes may play a role in the occurrence of WS in chicken meat through non-specific immune reactions.
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Affiliation(s)
- Antika Boonlaos
- Department of Animal Science, Faculty of Agriculture, Kasetsart University, Bangkok, Thailand
| | - Muhammad Jasim Uddin
- School of Veterinary Medicine, Murdoch University, Western Australia, Australia
- Center for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Murdoch, Australia
| | - Katchaporn Temyord
- Bureau of Livestock Standard and Certification, Department of Livestock Development, Bangkok, Thailand
| | - Danai Jattawa
- Department of Animal Science, Faculty of Agriculture, Kasetsart University, Bangkok, Thailand
| | - Autchara Kayan
- Department of Animal Science, Faculty of Agriculture, Kasetsart University, Bangkok, Thailand
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Zhelankin AV, Iulmetova LN, Ahmetov II, Generozov EV, Sharova EI. Diversity and Differential Expression of MicroRNAs in the Human Skeletal Muscle with Distinct Fiber Type Composition. Life (Basel) 2023; 13:659. [PMID: 36983815 PMCID: PMC10056610 DOI: 10.3390/life13030659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/06/2023] Open
Abstract
The ratio of fast- and slow-twitch fibers in human skeletal muscle is variable and largely determined by genetic factors. In this study, we investigated the contribution of microRNA (miRNA) in skeletal muscle fiber type composition. The study involved biopsy samples of the vastus lateralis muscle from 24 male participants with distinct fiber type ratios. The miRNA study included samples from five endurance athletes and five power athletes with the predominance of slow-twitch (61.6-72.8%) and fast-twitch (69.3-80.7%) fibers, respectively. Total and small RNA were extracted from tissue samples. Total RNA sequencing (N = 24) revealed 352 differentially expressed genes between the groups with the predominance of fast- and slow-twitch muscle fibers. Small RNA sequencing showed upregulation of miR-206, miR-501-3p and miR-185-5p, and downregulation of miR-499a-5p and miR-208-5p in the group of power athletes with fast-twitch fiber predominance. Two miRtronic miRNAs, miR-208b-3p and miR-499a-5p, had strong correlations in expression with their host genes (MYH7 and MYH7B, respectively). Correlations between the expression of miRNAs and their experimentally validated messenger RNA (mRNA) targets were calculated, and 11 miRNA-mRNA interactions with strong negative correlations were identified. Two of them belonged to miR-208b-3p and miR-499a-5p, indicating their regulatory links with the expression of CDKN1A and FOXO4, respectively.
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Affiliation(s)
- Andrey V. Zhelankin
- Department of Molecular Biology and Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
| | - Liliia N. Iulmetova
- Department of Molecular Biology and Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
| | - Ildus I. Ahmetov
- Department of Molecular Biology and Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK
| | - Eduard V. Generozov
- Department of Molecular Biology and Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
| | - Elena I. Sharova
- Department of Molecular Biology and Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
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