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Wang D, Tan L, Zhi Y, Bu L, Wang Y, Wang Z, Guo Y, Tian W, Xu C, Li D, Li Z, Jiang R, Han R, Li G, Wang Y, Xia D, Tian Y, Dunn IC, Hu X, Li H, Zhao Y, Kang X, Liu X. Genome-wide variation study and inter-tissue communication analysis unveil regulatory mechanisms of egg-laying performance in chickens. Nat Commun 2024; 15:7069. [PMID: 39152103 PMCID: PMC11329784 DOI: 10.1038/s41467-024-50809-9] [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: 12/10/2023] [Accepted: 07/22/2024] [Indexed: 08/19/2024] Open
Abstract
Egg-laying performance is of great economic importance in poultry, but the underlying genetic mechanisms are still elusive. In this work, we conduct a multi-omics and multi-tissue integrative study in hens with distinct egg production, to detect the hub candidate genes and construct hub molecular networks contributing to egg-laying phenotypic differences. We identifiy three hub candidate genes as egg-laying facilitators: TFPI2, which promotes the GnRH secretion in hypothalamic neuron cells; CAMK2D, which promotes the FSHβ and LHβ secretion in pituitary cells; and OSTN, which promotes granulosa cell proliferation and the synthesis of sex steroid hormones. We reveal key endocrine factors involving egg production by inter-tissue crosstalk analysis, and demonstrate that both a hepatokine, APOA4, and an adipokine, ANGPTL2, could increase egg production by inter-tissue communication with hypothalamic-pituitary-ovarian axis. Together, These results reveal the molecular mechanisms of multi-tissue coordinative regulation of chicken egg-laying performance and provide key insights to avian reproductive regulation.
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Affiliation(s)
- Dandan Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, China
| | - Lizhi Tan
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Yihao Zhi
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Lina Bu
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Yangyang Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Zhang Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Yulong Guo
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Weihua Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Chunlin Xu
- Henan Sangao Agriculture and Animal Husbandry Co, Ltd, Gushi, China
| | - Donghua Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, China
| | - Zhuanjian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, China
| | - Ruirui Jiang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, China
| | - Ruili Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, China
| | - Guoxi Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, China
| | - Yongqiang Wang
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, China
| | - Dong Xia
- Department of Pathobiology and Population Sciences, The Royal Veterinary College, London, UK
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, China
| | - Ian C Dunn
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK
| | - Xiaoxiang Hu
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Hong Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, China.
| | - Yiqiang Zhao
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, China.
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, China.
| | - Xiaojun Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China.
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, China.
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Wang J, Liu Y, Gao Y, Liang J, Wang B, Xia Q, Xie Y, Shan F, Xia Q. Comprehensive bioinformatics analysis and molecular validation of lncRNAs-mediated ceRNAs network in schizophrenia. Life Sci 2022; 312:121205. [PMID: 36410410 DOI: 10.1016/j.lfs.2022.121205] [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: 06/27/2022] [Revised: 10/31/2022] [Accepted: 11/14/2022] [Indexed: 11/19/2022]
Abstract
AIMS The present study aimed to investigate how Schizophrenia (SCZ)-specific long non-coding RNAs (lncRNAs) served as competing endogenous RNAs (ceRNAs) to modulate the biological functions and pathways involved in the pathogenesis of SCZ. MAIN METHODS Microarray dataset (GSE54913) was obtained from Gene Expression Omnibus (GEO) database. Differently expressed (DE) lncRNAs and mRNAs were identified by "limma" package. The binding miRNAs of lncRNAs and target mRNAs of shared miRNAs were predicted by miRcode, miRDB, miRTarbase and targetscan databases. Following the ceRNAs theory, interaction network was established and visualized with the cytoscape. Functional enrichment analysis uncovered the concentrated functions and signaling pathways that may be associated with SCZ progression. Protein-protein interaction (PPI) analysis was utilized to determine hub genes. Quantitative real-time PCR (qRT-PCR) and receiver operating characteristic curve (ROC) were performed to evaluate the expression and diagnostic value of ceRNAs members, respectively. KEY FINDINGS DElncRNAs and DEmRNAs were initially screened from GSE54913 to construct the SCZ-related ceRNAs network with 42 nodes and 53 edges. Functional enrichment analysis revealed that ceRNAs members appeared to be highly correlated with transcription factor activation, cell replication and tumor-related pathways. Once validated, a significant ceRNAs subnetwork was proposed as being implicated in the pathogenesis of SCZ. ROC analysis indicated that SCZ-related ceRNAs members may be sensitive diagnostic biomarkers for SCZ. SIGNIFICANCE The significant SCZ-related ceRNAs subnetworks (lncRNA-C2orf48A/hsa-miR-20b-5p,-17-5p/KIF23, FOXJ2) may represent promising predictive and diagnostic biomarkers and provide novel insights into the mechanism by which lncRNAs act as microRNA sponges and contribute to the pathogenesis of SCZ.
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Affiliation(s)
- Jiequan Wang
- Department of Pharmacy, Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui 230000, China; Department of Pharmacy, Anhui Mental Health Center, Hefei, Anhui 230000, China; Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, Anhui 230000, China
| | - Yaru Liu
- Department of Pharmacy, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China; The Grade 3 Pharmaceutical Chemistry Laboratory of State Administration of Traditional Chinese Medicine, Hefei, Anhui 230022, China
| | - Yejun Gao
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, China
| | - Jun Liang
- Department of Pharmacy, Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui 230000, China; Department of Pharmacy, Anhui Mental Health Center, Hefei, Anhui 230000, China; Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, Anhui 230000, China
| | - Baoshi Wang
- Department of Pharmacy, Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui 230000, China; Department of Pharmacy, Anhui Mental Health Center, Hefei, Anhui 230000, China; Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, Anhui 230000, China
| | - Quan Xia
- Department of Pharmacy, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China; The Grade 3 Pharmaceutical Chemistry Laboratory of State Administration of Traditional Chinese Medicine, Hefei, Anhui 230022, China
| | - Yawen Xie
- Department of Pharmacy, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China; The Grade 3 Pharmaceutical Chemistry Laboratory of State Administration of Traditional Chinese Medicine, Hefei, Anhui 230022, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, China
| | - Feng Shan
- Department of Pharmacy, Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui 230000, China; Department of Pharmacy, Anhui Mental Health Center, Hefei, Anhui 230000, China; Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, Anhui 230000, China
| | - Qingrong Xia
- Department of Pharmacy, Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui 230000, China; Department of Pharmacy, Anhui Mental Health Center, Hefei, Anhui 230000, China; Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, Anhui 230000, China.
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Germline FOXJ2 overexpression causes male infertility via aberrant autophagy activation by LAMP2A upregulation. Cell Death Dis 2022; 13:665. [PMID: 35908066 PMCID: PMC9338950 DOI: 10.1038/s41419-022-05116-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 07/15/2022] [Accepted: 07/18/2022] [Indexed: 01/21/2023]
Abstract
Spermatogenesis is a complex biological process that produces haploid spermatozoa and requires precise regulation by many tissue-specific factors. In this study, we explored the role and mechanism of Fork head box J2 (FOXJ2, which is highly expressed in spermatocytes) in the regulation of spermatogenesis using a germline-specific conditional Foxj2 knock-in mouse model (Stra8-Cre; Foxj2 tg/tg mouse). Foxj2 overexpression in mouse testes led to spermatogenesis failure, which started at the initiation of meiosis, and resulted in male infertility. Lysosomes and autophagy-related genes were upregulated in Stra8-cre; Foxj2 tg/tg mouse testes and the number of autolysosomes in the spermatocytes in Stra8-cre; Foxj2 tg/tg mice was increased. Chromatin immunoprecipitation-PCR and Dual-luciferase reporter assays showed that Lamp2 (encoding lysosome-associated membrane protein-2) was a target of FOXJ2. Foxj2 overexpression increased the expression levels of Lamp2a and Hsc70 (70-kDa cytoplasmic heat shock protein) in the Stra8-cre; Foxj2 tg/tg mouse testes. Our results suggested that Foxj2 overexpression in the germ cells of mouse testes affects chaperone-mediated autophagy by upregulating LAMP2A, leading to spermatogenesis failure at the initiation of meiosis, thus resulting in male infertility. Our findings provide a new insight into the function of FOXJ2 in spermatogenesis and the significance of autophagy regulation in spermatogenesis.
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Janssen R, Schomburg C, Prpic NM, Budd GE. A comprehensive study of arthropod and onychophoran Fox gene expression patterns. PLoS One 2022; 17:e0270790. [PMID: 35802758 PMCID: PMC9269926 DOI: 10.1371/journal.pone.0270790] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 06/20/2022] [Indexed: 11/19/2022] Open
Abstract
Fox genes represent an evolutionary old class of transcription factor encoding genes that evolved in the last common ancestor of fungi and animals. They represent key-components of multiple gene regulatory networks (GRNs) that are essential for embryonic development. Most of our knowledge about the function of Fox genes comes from vertebrate research, and for arthropods the only comprehensive gene expression analysis is that of the fly Drosophila melanogaster. For other arthropods, only selected Fox genes have been investigated. In this study, we provide the first comprehensive gene expression analysis of arthropod Fox genes including representative species of all main groups of arthropods, Pancrustacea, Myriapoda and Chelicerata. We also provide the first comprehensive analysis of Fox gene expression in an onychophoran species. Our data show that many of the Fox genes likely retained their function during panarthropod evolution highlighting their importance in development. Comparison with published data from other groups of animals shows that this high degree of evolutionary conservation often dates back beyond the last common ancestor of Panarthropoda.
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Affiliation(s)
- Ralf Janssen
- Department of Earth Sciences, Palaeobiology, Uppsala University, Uppsala, Sweden
- * E-mail:
| | - Christoph Schomburg
- AG Zoologie mit dem Schwerpunkt Molekulare Entwicklungsbiologie, Institut für Allgemeine Zoologie und Entwicklungsbiologie, Justus-Liebig-Universität Gießen, Gießen, Germany
- Fachgebiet Botanik, Institut für Biologie, Universität Kassel, Kassel, Germany
| | - Nikola-Michael Prpic
- AG Zoologie mit dem Schwerpunkt Molekulare Entwicklungsbiologie, Institut für Allgemeine Zoologie und Entwicklungsbiologie, Justus-Liebig-Universität Gießen, Gießen, Germany
| | - Graham E. Budd
- Department of Earth Sciences, Palaeobiology, Uppsala University, Uppsala, Sweden
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Identification of Critical Genes and Signaling Pathways in Human Monocytes Following High-Intensity Exercise. Healthcare (Basel) 2021; 9:healthcare9060618. [PMID: 34067297 PMCID: PMC8224747 DOI: 10.3390/healthcare9060618] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 05/16/2021] [Accepted: 05/17/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Monocytes are critical components, not only for innate immunity, but also for the activation of the adaptive immune system. Many studies in animals and humans have demonstrated that monocytes may be closely associated with chronic inflammatory diseases and be proved to be pivotal in the association between high-intensity exercise and anti-inflammation response. However, the underlying molecular mechanisms driving this are barely understood. The present study aimed to screen for potential hub genes and candidate signaling pathways associated with the effects of high-intensity exercise on human monocytes through bioinformatics analysis. MATERIALS AND METHODS The GSE51835 gene expression dataset was downloaded from the Gene Expression Omnibus database. The dataset consists of 12 monocyte samples from two groups of pre-exercise and post-exercise individuals. Identifying differentially expressed genes (DEGs) with R software, and functional annotation and pathway analyses were then performed with related web databases. Subsequently, a protein-protein interaction (PPI) network which discovers key functional protein and a transcription factors-DEGs network which predicts upstream regulators were constructed. RESULTS A total of 146 differentially expressed genes were identified, including 95 upregulated and 51 downregulated genes. Gene Ontology analysis indicated that in the biological process functional group, these DEGs were mainly involved in cellular response to hydrogen peroxide, response to unfolded protein, negative regulation of cell proliferation, cellular response to laminar fluid shear stress, and positive regulation of protein metabolic process. The top five enrichment pathways in a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were the FoxO signaling pathway, protein processing in the endoplasmic reticulum, influenza A, the ErbB signaling pathway, and the MAPK signaling pathway. TNF, DUSP1, ATF3, CXCR4, NR4A1, BHLHE40, CDKN1B, SOCS3, TNFAIP3, and MCL1 were the top 10 potential hub genes. The most important modules obtained in the PPI network were performed KEGG pathway analysis, which showed that these genes were mainly involved in the MAPK signaling pathway, the IL-17 signaling pathway, the TNF signaling pathway, osteoclast differentiation, and apoptosis. A transcription factor (TF) target network illustrated that FOXJ2 was a critical regulatory factor. CONCLUSIONS This study identified the essential genes and pathways associated with exercise and monocytes. Among these, four essential genes (TNF, DUSP1, CXCR4, and NR4A1) and the FoxO signaling pathway play vital roles in the immune function of monocytes. High-intensity exercise may improve the resistance of chronic inflammatory diseases by regulating the expression of these genes.
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Chioccarelli T, Pierantoni R, Manfrevola F, Porreca V, Fasano S, Chianese R, Cobellis G. Histone Post-Translational Modifications and CircRNAs in Mouse and Human Spermatozoa: Potential Epigenetic Marks to Assess Human Sperm Quality. J Clin Med 2020; 9:jcm9030640. [PMID: 32121034 PMCID: PMC7141194 DOI: 10.3390/jcm9030640] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 02/20/2020] [Accepted: 02/20/2020] [Indexed: 12/14/2022] Open
Abstract
Spermatozoa (SPZ) are motile cells, characterized by a cargo of epigenetic information including histone post-translational modifications (histone PTMs) and non-coding RNAs. Specific histone PTMs are present in developing germ cells, with a key role in spermatogenic events such as self-renewal and commitment of spermatogonia (SPG), meiotic recombination, nuclear condensation in spermatids (SPT). Nuclear condensation is related to chromatin remodeling events and requires a massive histone-to-protamine exchange. After this event a small percentage of chromatin is condensed by histones and SPZ contain nucleoprotamines and a small fraction of nucleohistone chromatin carrying a landascape of histone PTMs. Circular RNAs (circRNAs), a new class of non-coding RNAs, characterized by a nonlinear back-spliced junction, able to play as microRNA (miRNA) sponges, protein scaffolds and translation templates, have been recently characterized in both human and mouse SPZ. Since their abundance in eukaryote tissues, it is challenging to deepen their biological function, especially in the field of reproduction. Here we review the critical role of histone PTMs in male germ cells and the profile of circRNAs in mouse and human SPZ. Furthermore, we discuss their suggested role as novel epigenetic biomarkers to assess sperm quality and improve artificial insemination procedure.
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Genome-Wide Identification and Characterization of Fox Genes in the Honeybee, Apis cerana, and Comparative Analysis with Other Bee Fox Genes. Int J Genomics 2018; 2018:5702061. [PMID: 29850474 PMCID: PMC5926511 DOI: 10.1155/2018/5702061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2017] [Revised: 11/28/2017] [Accepted: 03/28/2018] [Indexed: 12/13/2022] Open
Abstract
The forkhead box (Fox) gene family, one of the most important families of transcription factors, participates in various biological processes. However, Fox genes in Hymenoptera are still poorly known. In this study, 14 Fox genes were identified in the genome of Apis cerana. In addition, 16 (Apis mellifera), 13 (Apis dorsata), 16 (Apis florea), 17 (Bombus terrestris), 16 (Bombus impatiens), and 18 (Megachile rotundata) Fox genes were identified in their genomes, respectively. Phylogenetic analyses suggest that FoxA is absent in the genome of A. dorsata genome. Similarly, FoxG is missing in the genomes A. cerana and A. dorsata. Temporal expression profiles obtained by quantitative real-time PCR revealed that Fox genes have distinct expression patterns in A. cerana, especially for three genes ACSNU03719T0 (AcFoxN4), ACSNU05765T0 (AcFoxB), and ACSNU07465T0 (AcFoxL2), which displayed high expression at the egg stage. Tissue expression patterns showed that FoxJ1 is significantly higher in the antennae of A. cerana and A. mellifera compared to other tissues. These results may facilitate a better understanding of the potential physiological functions of the Fox gene family in A. cerana and provide valuable information for a comprehensive functional analysis of the Fox gene family in Hymenopterans.
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Hu F, Xu K, Zhou Y, Wu C, Wang S, Xiao J, Wen M, Zhao R, Luo K, Tao M, Duan W, Liu S. Different expression patterns of sperm motility-related genes in testis of diploid and tetraploid cyprinid fish†. Biol Reprod 2018; 96:907-920. [PMID: 28340181 PMCID: PMC5441299 DOI: 10.1093/biolre/iox010] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 03/01/2017] [Indexed: 11/25/2022] Open
Abstract
Sperm motility is an important standard to measure the fertility of male. In our previous study, we found that the diploid spermatozoa from allotetraploid hybrid (4nAT) had longer durations of rapid and slow progressive motility than haploid spermatozoa from common carp (COC). In this study, to explore sperm motility-related molecular mechanisms, we compared the testis tissues transcriptomes from 2-year-old male COC and 4nAT. The RNA-seq data revealed that 2985 genes were differentially expressed between COC and 4nAT, including 2216 upregulated and 769 downregulated genes in 4nAT. Some differentially expressed genes, such as tubulin genes, dynein, axonemal, heavy chain(dnah) genes, mitogen-activated protein kinase(mapk) genes, tektin 4, FOX transcription factors, proteasome genes, and ubiquitin carboxyl-terminal hydrolase(uchl) genes, are involved in the regulation of cell division, flagellar and ciliary motility, gene transcription, cytoskeleton, energy metabolism, and the ubiquitin–proteasome system, suggesting that these genes were related to sperm motility of the 4nAT. We confirmed the differential expression of 12 such genes in 4nAT by quantitative PCR. By western blotting, we also confirmed increased expression of Uchl3 in 4nAT testis. In addition, we identified 1915 and 2551 predicted long noncoding RNA (lncRNA) transcripts from testis tissue transcriptomes of COC and 4nAT, respectively. Of these, 1575 lncRNAs were specifically expressed in 4nAT and 939 were specifically expressed in COC. This study provides insights into the transcriptome profile of testis tissues from diploid and tetraploid, which are useful for research on regulatory mechanisms behind sperm motility in male polyploidy.
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Affiliation(s)
- Fangzhou Hu
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Kang Xu
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Yunfan Zhou
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Chang Wu
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Shi Wang
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Jun Xiao
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Min Wen
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Rurong Zhao
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Kaikun Luo
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Min Tao
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Wei Duan
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
| | - Shaojun Liu
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Normal University, Changsha, Hunan, P. R. of China.,College of Life Sciences, Hunan Normal University, Changsha, Hunan, P. R. of China
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Kurihara M, Otsuka K, Matsubara S, Shiraishi A, Satake H, Kimura AP. A Testis-Specific Long Non-Coding RNA, lncRNA-Tcam1, Regulates Immune-Related Genes in Mouse Male Germ Cells. Front Endocrinol (Lausanne) 2017; 8:299. [PMID: 29163367 PMCID: PMC5673629 DOI: 10.3389/fendo.2017.00299] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 10/16/2017] [Indexed: 12/11/2022] Open
Abstract
Spermatogenesis is precisely controlled by hormones from the hypothalamus-pituitary-gonadal axis and testis-specific genes, but the regulatory mechanism is not fully understood. Recently, a large number of long non-coding RNAs (lncRNAs) are found to be transcribed at each stage of meiosis of male germ cells, and their functions in spermatogenesis have yet to be fully investigated. lncRNA-testicular cell adhesion molecule 1 (lncRNA-Tcam1) is a nuclear lncRNA which is specifically expressed in mouse male germ cells and presumed to play a role in gene regulation during meiosis. Here, we present the identification of potential target genes of lncRNA-Tcam1 using spermatocyte-derived GC-2spd(ts) cells. Initially, 55 target gene candidates were detected by RNA-sequencing of two GC-2spd(ts) cell clones that were stably transfected with transgenes to express lncRNA-Tcam1 at different levels. Expression of 21 genes of the candidates was found to be correlated with lncRNA-Tcam1 at 7-14 postnatal days, when lncRNA-Tcam1 expression was elevated. Subsequently, we examined expression levels of the 21 genes in other two GC-2spd(ts) clones, and 11 genes exhibited the correlation with lncRNA-Tcam1. Induction of lncRNA-Tcam1 transcription using the Tet-off system verified that six genes, Trim30a, Ifit3, Tgtp2, Ifi47, Oas1g, and Gbp3, were upregulated in GC-2spd(ts) cells, indicating that lncRNA-Tcam1 is responsible for the regulation of gene expression of the six genes. In addition, five of the six genes, namely, Ifit3, Tgtp2, Ifi47, Oas1g, and Gbp3, are immune response genes, and Trim30a is a negative regulator of immune response. Altogether, the present study suggests that lncRNA-Tcam1 is responsible for gene regulation for the immune response during spermatogenesis.
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Affiliation(s)
- Misuzu Kurihara
- Graduate School of Life Science, Hokkaido University, Sapporo, Japan
| | - Kai Otsuka
- Graduate School of Life Science, Hokkaido University, Sapporo, Japan
| | - Shin Matsubara
- Bioorganic Research Institute, Suntory Foundation for Life Sciences, Kyoto, Japan
| | - Akira Shiraishi
- Bioorganic Research Institute, Suntory Foundation for Life Sciences, Kyoto, Japan
| | - Honoo Satake
- Bioorganic Research Institute, Suntory Foundation for Life Sciences, Kyoto, Japan
| | - Atsushi P. Kimura
- Graduate School of Life Science, Hokkaido University, Sapporo, Japan
- Department of Biological Sciences, Faculty of Science, Hokkaido University, Sapporo, Japan
- *Correspondence: Atsushi P. Kimura,
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Ni L, Xie H, Tan L. Multiple roles of FOXJ3 in spermatogenesis: A lesson from Foxj3 conditional knockout mouse models. Mol Reprod Dev 2016; 83:1060-1069. [PMID: 27739607 DOI: 10.1002/mrd.22750] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 09/29/2016] [Indexed: 01/08/2023]
Abstract
The transcription factor FOXJ3 (Forkhead box J3) is highly expressed in spermatogonia and meiotic spermatocytes within mouse testes. Here, we addressed how FOXJ3 might participate in spermatogenesis using two conditional knockout mouse models in which Foxj3 was deleted from either spermatogonia or meiotic spermatocytes. Both models exhibited complete male sterility, but distinct etiologies: Deleting FOXJ3 from spermatogonia using Foxj3flox/flox , Mvh-Cre mice caused Sertoli-cell-only syndrome in males. Foxj3-deficient spermatogonia were lost as early as postnatal Day 4, partially due to the accumulation of DNA double-stranded breaks. In contrast, loss of FOXJ3 in spermatocytes using Foxj3flox/flox , Stra8-Cre mice led to meiotic arrest. Indeed, the mRNA abundance of meiotic arrest-related proteins (Rad51, Dmc1, Brca1, Brca2, Brit1, Eif4g3, Hop2, Hormad1, and Rnf212) was significantly reduced in Foxj3flox/flox , Stra8-Cre spermatocytes. Thus, we conclude that FOXJ3 is required for the survival of spermatogonia and participates in spermatocyte meiosis. Mol. Reprod. Dev. 83: 1060-1069, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Lili Ni
- Reproductive Medical Department of The Second Affiliated Hospital of Zhengzhou University, Zhenghou, Henan Province, China
| | - Hongchang Xie
- Kidney Transplant Department of The First Affiliated Hospital of Zhengzhou University, Zhenghou, Henan Province, China
| | - Li Tan
- Reproductive Medical Department of The Second Affiliated Hospital of Zhengzhou University, Zhenghou, Henan Province, China
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