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Martins SG, Ribeiro V, Melo C, Paulino-Cavaco C, Antonini D, Dayalan Naidu S, Murtinheira F, Fonseca I, Saget B, Pita M, Fernandes DR, Gameiro Dos Santos P, Rodrigues G, Zilhão R, Herrera F, Dinkova-Kostova AT, Carlos AR, Thorsteinsdóttir S. Laminin-α2 chain deficiency in skeletal muscle causes dysregulation of multiple cellular mechanisms. Life Sci Alliance 2024; 7:e202402829. [PMID: 39379105 PMCID: PMC11463332 DOI: 10.26508/lsa.202402829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 09/13/2024] [Accepted: 09/13/2024] [Indexed: 10/10/2024] Open
Abstract
LAMA2, coding for the laminin-α2 chain, is a crucial ECM component, particularly abundant in skeletal muscle. Mutations in LAMA2 trigger the often-lethal LAMA2-congenital muscular dystrophy (LAMA2-CMD). Various phenotypes have been linked to LAMA2-CMD; nevertheless, the precise mechanisms that malfunction during disease onset in utero remain unknown. We generated Lama2-deficient C2C12 cells and found that Lama2-deficient myoblasts display proliferation, differentiation, and fusion defects, DNA damage, oxidative stress, and mitochondrial dysfunction. Moreover, fetal myoblasts isolated from the dy W mouse model of LAMA2-CMD display impaired differentiation and fusion in vitro. We also showed that disease onset during fetal development is characterized by a significant down-regulation of gene expression in muscle fibers, causing pronounced effects on cytoskeletal organization, muscle differentiation, and altered DNA repair and oxidative stress responses. Together, our findings provide unique insights into the critical importance of the laminin-α2 chain for muscle differentiation and muscle cell homeostasis.
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Affiliation(s)
- Susana G Martins
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Vanessa Ribeiro
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Catarina Melo
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Cláudia Paulino-Cavaco
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Dario Antonini
- Department of Biology, University of Naples "Federico II", Naples, Italy
| | - Sharadha Dayalan Naidu
- Jacqui Wood Cancer Centre, Division of Cellular and Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Fernanda Murtinheira
- https://ror.org/01c27hj86 Biosystems and Integrative Sciences Institute (BioISI), Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Inês Fonseca
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Bérénice Saget
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Mafalda Pita
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Diogo R Fernandes
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Pedro Gameiro Dos Santos
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Gabriela Rodrigues
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Rita Zilhão
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Vegetal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Federico Herrera
- https://ror.org/01c27hj86 Biosystems and Integrative Sciences Institute (BioISI), Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Albena T Dinkova-Kostova
- Jacqui Wood Cancer Centre, Division of Cellular and Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Ana Rita Carlos
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Sólveig Thorsteinsdóttir
- https://ror.org/01c27hj86 Centre for Ecology, Evolution and Environmental Changes (CE3C) & CHANGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- https://ror.org/01c27hj86 Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
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2
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Shi B, Shi X, Zuo Z, Zhao S, Zhao Z, Wang J, Zhou H, Luo Y, Hu J, Hickford JGH. Identification of differentially expressed genes at different post-natal development stages of longissimus dorsi muscle in Tianzhu white yak. Gene X 2022; 823:146356. [PMID: 35227854 DOI: 10.1016/j.gene.2022.146356] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 01/28/2022] [Accepted: 02/15/2022] [Indexed: 02/04/2023] Open
Abstract
The regulatory mechanisms controlling post-natal muscle development in the yak (Bos grunniens) are still largely unknown, yet the growth and development of muscle is a complex process that plays a crucial role in determining the yield and quality of an animal's meat. In this study, we performed a transcriptome analysis based on the RNA sequencing (RNA-Seq) of yak longissimus dorsi muscle tissue obtained from calves (6 months of age; 6 M), young adults (30 months of age; 30 M) and adult (54 months of age; 54 M) to identify which genes are differentially expressed and to investigate their temporal expression profiles. In total, 1788 differentially expressed genes (DEGs) (|log2FC| ≥ 1, P-adjusted < 0.05) were detected by pairwise comparisons between the different age groups. The expression levels of 10 of the DEGs were confirmed using reverse transcription-quantitative PCR (RT-qPCR), and the results were consistent with the transcriptome profile. A time-series expression profile analysis clustered the DEGs into four groups that could be divided into two classes (P < 0.05): class 1 profiles, which had up-regulated patterns of gene expression and class 2 profiles, which featured down-regulated patterns. Based on that cluster analysis, GO enrichment analysis revealed 1073, 127, and 184 terms as significantly enriched in biological process (BP), cellular component (CC), and molecular function (MF) categories in the class 1 profiles, while 714, 66, and 206 terms were significantly enriched in BP, CC, and MF in the class 2 profiles. A KEGG pathway analysis revealed that DEGs from the class 1 profiles were enriched in 62 pathways, with the most enriched being the phosphoinositide 3-kinase (PI3K) - protein kinase B (Akt)-signaling pathway. The DEGs from the class 2 profiles were enriched in 16 pathways, of which forkhead box protein O (FoxO) - signaling was the most enriched. Taken together, these results provide insight into the mechanisms of skeletal muscle development, as well suggesting some potential genes of importance for yak meat production.
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Affiliation(s)
- Bingang Shi
- Faculty of Animal Science and Technology & Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Xuehong Shi
- Faculty of Animal Science and Technology & Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Zhi Zuo
- Faculty of Animal Science and Technology & Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Shijie Zhao
- Faculty of Animal Science and Technology & Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Zhidong Zhao
- Faculty of Animal Science and Technology & Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Jiqing Wang
- Faculty of Animal Science and Technology & Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Huitong Zhou
- Gene-Marker Laboratory, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand
| | - Yuzhu Luo
- Faculty of Animal Science and Technology & Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Jiang Hu
- Faculty of Animal Science and Technology & Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China.
| | - Jon G H Hickford
- Gene-Marker Laboratory, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand.
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Shao M, Shi K, Zhao Q, Duan Y, Shen Y, Tian J, He K, Li D, Yu M, Lu Y, Tang Y, Feng C. Transcriptome Analysis Reveals the Differentially Expressed Genes Associated with Growth in Guangxi Partridge Chickens. Genes (Basel) 2022; 13:genes13050798. [PMID: 35627183 PMCID: PMC9140345 DOI: 10.3390/genes13050798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/27/2022] [Accepted: 04/27/2022] [Indexed: 02/04/2023] Open
Abstract
The Guangxi Partridge chicken is a well-known chicken breed in southern China with good meat quality, which has been bred as a meat breed to satisfy the increased demand of consumers. Compared with line D whose body weight is maintained at the average of the unselected group, the growth rate and weight of the selected chicken group (line S) increased significantly after breeding for four generations. Herein, transcriptome analysis was performed to identify pivotal genes and signal pathways of selective breeding that contributed to potential mechanisms of growth and development under artificial selection pressure. The average body weight of line S chickens was 1.724 kg at 90 d of age, which showed a significant increase at 90 d of age than line D chickens (1.509 kg), although only the internal organ ratios of lung and kidney changed after standardizing by body weight. The myofiber area and myofiber density of thigh muscles were affected by selection to a greater extent than that of breast muscle. We identified 51, 210, 31, 388, and 100 differentially expressed genes (DEGs) in the hypothalamus, pituitary, breast muscle, thigh muscle, and liver between the two lines, respectively. Several key genes were identified in the hypothalamus-pituitary-muscle axis, such as FST, THSB, PTPRJ, CD36, PITX1, PITX2, AMPD1, PRKAB1, PRKAB2, and related genes for muscle development, which were attached to the cytokine–cytokine receptor interaction signaling pathway, the PPAR signaling pathway, and lipid metabolism. However, signaling molecular pathways and the cell community showed that elevated activity in the liver of line S fowl was mainly involved in focal adhesion, ECM-receptor interaction, cell adhesion molecules, and signal transduction. Collectively, muscle development, lipid metabolism, and several signaling pathways played crucial roles in the improving growth performance of Guangxi Partridge chickens under artificial selection for growth rate. These results support further study of the adaptation of birds under selective pressure.
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Affiliation(s)
- Minghui Shao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
| | - Kai Shi
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
| | - Qian Zhao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
| | - Ying Duan
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
| | - Yangyang Shen
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
| | - Jinjie Tian
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
| | - Kun He
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
| | - Dongfeng Li
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
| | - Minli Yu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
| | - Yangqing Lu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Animal Science and Technology, Guangxi University, Nanning 530004, China;
| | - Yanfei Tang
- Guangxi Fufeng Agricultural and Animal Husbandry Group Co., Ltd., Nanning 530024, China;
| | - Chungang Feng
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (M.S.); (K.S.); (Q.Z.); (Y.D.); (Y.S.); (J.T.); (K.H.); (D.L.); (M.Y.)
- Correspondence:
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4
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Yu J, Cheng W, Jia M, Chen L, Gu C, Ren HQ, Wu B. Toxicity of perfluorooctanoic acid on zebrafish early embryonic development determined by single-cell RNA sequencing. JOURNAL OF HAZARDOUS MATERIALS 2022; 427:127888. [PMID: 34862108 DOI: 10.1016/j.jhazmat.2021.127888] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 11/08/2021] [Accepted: 11/20/2021] [Indexed: 05/27/2023]
Abstract
The perfluorooctanoic acid (PFOA) poses a high risk for aquatic organisms. Nevertheless, the current toxicity studies rarely report how PFOA affects different cell populations during the embryonic development of fish. Here, the zebrafish embryos at 2-30 hpf were exposed to 1-100 μg/L PFOA. The heartbeat and locomotor behavior were significantly decreased after ≥ 25 μg/L PFOA exposure. The single-cell RNA sequencing showed that PFOA exposure influenced nine cell populations, including heart cells, hatching gland cells, macrophages, lens cells, ionocytes, melanoblasts, optic cup cells, periderm cells, and differentiating neurons cells. Among them, heart cells were the most affected cell population. Functions of cardiac muscle contraction, actin cytoskeleton and oxygen binding were significantly changed in the heart cells, which were involved in the altered expressions of tnni2a.4, acta1a, atp1a1a.2, mylpfa, and so on. Besides, the changes of apoptotic process, innate immune response, and translation in lens cells, hatching gland cells, macrophages and ionocytes should also be of concern. Our study indicates that 2-30 hpf of embryonic development is the sensitivity window for the PFOA exposure. Identification of the target cell population provides clear information of the toxic endpoint of PFOA, which sheds new light on the risk assessment of PFOA on aquatic organisms.
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Affiliation(s)
- Jing Yu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Wanqing Cheng
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Min Jia
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Ling Chen
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Cheng Gu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Hong-Qiang Ren
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China
| | - Bing Wu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, PR China.
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Pohl J, Golovko O, Carlsson G, Örn S, Schmitz M, Ahi EP. Gene co-expression network analysis reveals mechanisms underlying ozone-induced carbamazepine toxicity in zebrafish (Danio rerio) embryos. CHEMOSPHERE 2021; 276:130282. [PMID: 34088109 DOI: 10.1016/j.chemosphere.2021.130282] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/24/2021] [Accepted: 03/11/2021] [Indexed: 06/12/2023]
Abstract
Sewage effluent ozonation can reduce concentrations of chemical pollutants including pharmaceutical residues. However, the formation of potentially toxic ozonation byproducts (OBPs) is a matter of concern. This study sought to elucidate toxicity mechanisms of ozonated carbamazepine (CBZ), an anti-epileptic drug frequently detected in sewage effluents and surface water, in zebrafish embryos (Danio rerio). Embryos were exposed to ozonated and non-ozonated CBZ from 3 h post-fertilization (hpf) until 144 hpf. Embryotoxicity endpoints (proportion of dead and malformed embryos) were assessed at 24, 48, and 144 hpf. Heart rate was recorded at 48 hpf. Exposure to ozonated CBZ gave rise to cardiovascular-related malformations and reduced heart rate. Moreover, embryo-larvae exposed to ozonated CBZ displayed a lack of swim bladder inflation. Hence, the expression patterns of CBZ target genes involved in cardiovascular and embryonal development were investigated through a stepwise gene co-expression analysis approach. Two co-expression networks and their upstream transcription regulators were identified, offering mechanistic explanations for the observed toxicity phenotypes. The study presents a novel application of gene co-expression analysis elucidating potential toxicity mechanisms of an ozonated pharmaceutical with environmental relevance. The resulting data was used to establish a putative adverse outcome pathway (AOP).
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Affiliation(s)
- Johannes Pohl
- Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Box 7028, 75007, Uppsala, Sweden.
| | - Oksana Golovko
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Box 7050, 75007, Uppsala, Sweden
| | - Gunnar Carlsson
- Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Box 7028, 75007, Uppsala, Sweden
| | - Stefan Örn
- Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Box 7028, 75007, Uppsala, Sweden
| | - Monika Schmitz
- Department of Organismal Biology, Comparative Physiology Section, Uppsala University, Norbyvägen 18A, 75236, Uppsala, Sweden
| | - Ehsan Pashay Ahi
- Department of Organismal Biology, Comparative Physiology Section, Uppsala University, Norbyvägen 18A, 75236, Uppsala, Sweden; Organismal and Evolutionary Biology Research Programme, University of Helsinki, Viikinkaari 9, 00014, Helsinki, Finland
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Chen Z, Li XY, Guo P, Wang DL. MYBPC2 and MYL1 as Significant Gene Markers for Rhabdomyosarcoma. Technol Cancer Res Treat 2021; 20:1533033820979669. [PMID: 33499774 PMCID: PMC7844451 DOI: 10.1177/1533033820979669] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Rhabdomyosarcoma is the most common soft tissue tumor in children. Rhabdomyosarcoma commonly results in pain and bleeding caused by tumor compression and is prone to early metastasis and recurrence, which can seriously affect the therapeutic outcomes and long-term prognosis. Up to 37.7% of rhabdomyosarcomas may metastasize. Therefore, the molecular mechanisms underlying rhabdomyosarcoma must be explored to identify an effective target for its early diagnosis and specific treatment. METHODS A dataset of 18 rhabdomyosarcoma tissue samples and 6 healthy skeletal muscle samples was downloaded. Differentially expressed genes between rhabdomyosarcoma and healthy tissue samples were identified by GEO2R. Kyoto Encyclopedia of Genes and Genomes and gene ontology pathway enrichment analyses were performed. A protein-protein interaction network was constructed, and hub genes were identified. Expression and survival analyses of hub genes were performed. Additionally, 30 patients with rhabdomyosarcoma were recruited, and overall survival information and samples were collected. Reverse transcription quantitative real-time polymerase chain reaction assays were performed to verify the expression of MYBPC2 and MYL1 in rhabdomyosarcoma tumor tissues. The Kaplan-Meier method was used to explore overall survival based on our clinical data. RESULTS In total, 164 genes were up-regulated and 394 were down-regulated in rhabdomyosarcoma tumor tissues. Gene ontology analysis revealed that variations were predominantly enriched in the cell cycle, muscle contraction, muscle system processes, cytoskeleton, nucleotide binding, and cytoskeletal protein binding. The protein-protein interaction network revealed 3274 edges, and 441 nodes were constructed. Ten hub genes were identified; of these, MYBPC2 and MYL1 were significantly up-regulated in rhabdomyosarcoma. Compared with the healthy group, patients with rhabdomyosarcoma exhibiting high expression of MYBPC2 and MYL1 exhibited significantly worse overall survival. CONCLUSIONS We found differentially expressed genes between rhabdomyosarcoma and healthy tissue samples. MYBPC2 and MYL1 may be involved in the pathogenesis of rhabdomyosarcoma and therefore deserve further exploration.
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Affiliation(s)
- Zihang Chen
- General Surgery Department, Hangzhou Fuyang District First People's Hospital, Hangzhou, People's Republic of China
| | - Xing-Yu Li
- School of Basic Medicine, Peking University, Beijing, People's Republic of China
| | - Peng Guo
- Department of Orthopedics, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Dong-Lai Wang
- Department of Orthopedics, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China
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Altered miRNA and mRNA Expression in Sika Deer Skeletal Muscle with Age. Genes (Basel) 2020; 11:genes11020172. [PMID: 32041309 PMCID: PMC7073773 DOI: 10.3390/genes11020172] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 02/03/2020] [Accepted: 02/04/2020] [Indexed: 12/18/2022] Open
Abstract
Studies of the gene and miRNA expression profiles associated with the postnatal late growth, development, and aging of skeletal muscle are lacking in sika deer. To understand the molecular mechanisms of the growth and development of sika deer skeletal muscle, we used de novo RNA sequencing (RNA-seq) and microRNA sequencing (miRNA-seq) analyses to determine the differentially expressed (DE) unigenes and miRNAs from skeletal muscle tissues at 1, 3, 5, and 10 years in sika deer. A total of 51,716 unigenes, 171 known miRNAs, and 60 novel miRNAs were identified based on four mRNA and small RNA libraries. A total of 2,044 unigenes and 11 miRNAs were differentially expressed between adolescence and juvenile sika deer, 1,946 unigenes and 4 miRNAs were differentially expressed between adult and adolescent sika deer, and 2,209 unigenes and 1 miRNAs were differentially expressed between aged and adult sika deer. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that DE unigenes and miRNA were mainly related to energy and substance metabolism, processes that are closely associate with the growth, development, and aging of skeletal muscle. We also constructed mRNA–mRNA and miRNA–mRNA interaction networks related to the growth, development, and aging of skeletal muscle. The results show that mRNA (Myh1, Myh2, Myh7, ACTN3, etc.) and miRNAs (miR-133a, miR-133c, miR-192, miR-151-3p, etc.) may play important roles in muscle growth and development, and mRNA (WWP1, DEK, UCP3, FUS, etc.) and miRNAs (miR-17-5p, miR-378b, miR-199a-5p, miR-7, etc.) may have key roles in muscle aging. In this study, we determined the dynamic miRNA and unigenes transcriptome in muscle tissue for the first time in sika deer. The age-dependent miRNAs and unigenes identified will offer insights into the molecular mechanism underlying muscle development, growth, and maintenance and will also provide valuable information for sika deer genetic breeding.
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Lin YS, Chang TH, Shi CS, Wang YZ, Ho WC, Huang HD, Chang ST, Pan KL, Chen MC. Liver X Receptor/Retinoid X Receptor Pathway Plays a Regulatory Role in Pacing-Induced Cardiomyopathy. J Am Heart Assoc 2020; 8:e009146. [PMID: 30612502 PMCID: PMC6405706 DOI: 10.1161/jaha.118.009146] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background The molecular mechanisms through which high‐demand pacing induce myocardial dysfunction remain unclear. Methods and Results We created atrioventricular block in pigs using dependent right ventricular septal pacing for 6 months. Echocardiography was performed to evaluate dyssynchrony between pacing (n=6) and sham control (n=6) groups. Microarray and enrichment analyses were used to identify differentially expressed genes (DEGs) in the left ventricular (LV) myocardium between pacing and sham control groups. Histopathological and protein changes were also analyzed and an A cell pacing model was also performed. Pacing significantly increased mechanical dyssynchrony. Enrichment analysis using Ingenuity Pathway Analysis and the activation z‐score analysis method demonstrated that there were 5 DEGs (ABCA1, APOD, CLU, LY96, and SERPINF1) in the LV septum (z‐score=−0.447) and 5 DEGs (APOD, CLU, LY96, MSR1, and SERPINF1) in the LV free wall (z‐score=−1.000) inhibited the liver X receptor/retinoid X receptor (LXR/RXR) pathway, and 4 DEGs (ACTA2, MYL1, PPP2R3A, and SNAI2) activated the integrin‐linked kinase (ILK) pathway in the LV septum (z‐score=1.000). The pacing group had a larger cell size, higher degree of myolysis and fibrosis, and increased expression of intracellular lipid, inflammatory cytokines, and apoptotic markers than the sham control group. The causal relationships between pacing and DEGs related to LXR/RXR and ILK pathways, apoptosis, fibrosis, and lipid expression after pacing were confirmed in the cell pacing model. Luciferase reporter assay in the cell pacing model also supported inhibition of the LXR pathway by pacing. Conclusions Right ventricular septal‐dependent pacing was associated with persistent LV dyssynchrony–induced cardiomyopathy through inhibition of the LXR/RXR pathway.
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Affiliation(s)
- Yu-Sheng Lin
- 1 Division of Cardiology Chang Gung Memorial Hospital Chiayi Taiwan.,2 Graduate Institute of Clinical Medical Sciences College of Medicine Chang Gung University Taoyuan Taiwan
| | - Tzu-Hao Chang
- 3 Graduate Institute of Biomedical Informatics Taipei Medical University Taipei Taiwan
| | - Chung-Sheng Shi
- 2 Graduate Institute of Clinical Medical Sciences College of Medicine Chang Gung University Taoyuan Taiwan
| | - Yi-Zhen Wang
- 4 Division of Cardiology Department of Internal Medicine Kaohsiung Chang Gung Memorial Hospital Chang Gung University College of Medicine Kaohsiung Taiwan
| | - Wan-Chun Ho
- 4 Division of Cardiology Department of Internal Medicine Kaohsiung Chang Gung Memorial Hospital Chang Gung University College of Medicine Kaohsiung Taiwan
| | - Hsien-Da Huang
- 5 The Warshel Institute of Computational Biology School of Science and Technology The Chinese University of Hong Kong Shenzhen China.,6 Department of Biological Science and Technology National Chiao Tung University Hsinchu Taiwan
| | - Shih-Tai Chang
- 1 Division of Cardiology Chang Gung Memorial Hospital Chiayi Taiwan
| | - Kuo-Li Pan
- 1 Division of Cardiology Chang Gung Memorial Hospital Chiayi Taiwan
| | - Mien-Cheng Chen
- 4 Division of Cardiology Department of Internal Medicine Kaohsiung Chang Gung Memorial Hospital Chang Gung University College of Medicine Kaohsiung Taiwan
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9
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Chen M, Yao YL, Yang Y, Zhu M, Tang Y, Liu S, Li K, Tang Z. Comprehensive Profiles of mRNAs and miRNAs Reveal Molecular Characteristics of Multiple Organ Physiologies and Development in Pigs. Front Genet 2019; 10:756. [PMID: 31552085 PMCID: PMC6737989 DOI: 10.3389/fgene.2019.00756] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 07/17/2019] [Indexed: 12/13/2022] Open
Abstract
The pig (Sus scrofa) is not only an important livestock animal but also widely used as a biomedical model. However, the understanding of the molecular characteristics of organs and of the developmental skeletal muscle of the pig is severely limited. Here, we performed a comprehensive transcriptome profiling of mRNAs and miRNAs across nine tissues and three skeletal muscle developmental stages in the Guizhou miniature pig. The reproductive organs (ovary and testis) had greater transcriptome complexity and activity than other tissues, and the highest transcriptome similarity was between skeletal muscle and heart (R = 0.79). We identified 1,819 mRNAs and 96 miRNAs to be tissue-specific in nine organs. Testis had the largest number of tissue-specific mRNAs (992) and miRNAs (40). Only 15 genes and two miRNAs were specifically expressed in skeletal muscle and fat, respectively. During postnatal skeletal muscle development, the mRNAs associated with focal adhesion, Notch signaling, protein digestion, and absorption pathways were up-regulated from D0 to D30 and then down-regulated from D30 and D240, while genes with opposing expression patterns were significantly enriched in the oxidative phosphorylation and proteasome pathways. The miRNAs mainly regulated genes associated with insulin, Wnt, fatty acid biosynthesis, Notch, MAPK, TGF-beta, insulin secretion, ECM-receptor interaction, focal adhesion, and calcium signaling pathways. We also identified 37 new miRNA-mRNA interaction pairs involved in skeletal muscle development. Overall, our data not only provide a rich resource for understanding pig organ physiology and development but also aid the study of the molecular functions of mRNA and miRNA in mammals.
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Affiliation(s)
- Muya Chen
- Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yi Long Yao
- Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yalan Yang
- Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Min Zhu
- Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yijie Tang
- Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Siyuan Liu
- Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Kui Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhonglin Tang
- Research Centre for Animal Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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10
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Ravenscroft G, Zaharieva IT, Bortolotti CA, Lambrughi M, Pignataro M, Borsari M, Sewry CA, Phadke R, Haliloglu G, Ong R, Goullée H, Whyte T, Consortium UK, Manzur A, Talim B, Kaya U, Osborn DPS, Forrest ARR, Laing NG, Muntoni F. Bi-allelic mutations in MYL1 cause a severe congenital myopathy. Hum Mol Genet 2019; 27:4263-4272. [PMID: 30215711 DOI: 10.1093/hmg/ddy320] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 09/07/2018] [Indexed: 01/26/2023] Open
Abstract
Congenital myopathies are typically characterised by early onset hypotonia, weakness and hallmark features on biopsy. Despite the rapid pace of gene discovery, ∼50% of patients with a congenital myopathy remain without a genetic diagnosis following screening of known disease genes. We performed exome sequencing on two consanguineous probands diagnosed with a congenital myopathy and muscle biopsy showing selective atrophy/hypotrophy or absence of type II myofibres. We identified variants in the gene (MYL1) encoding the skeletal muscle fast-twitch specific myosin essential light chain (ELC) in both probands. A homozygous essential splice acceptor variant (c.479-2A > G, predicted to result in skipping of exon 5 was identified in Proband 1, and a homozygous missense substitution (c.488T>G, p.(Met163Arg)) was identified in Proband 2. Protein modelling of the p.(Met163Arg) substitution predicted it might impede intermolecular interactions that facilitate binding to the IQ domain of myosin heavy chain, thus likely impacting on the structure and functioning of the myosin motor. MYL1 was markedly reduced in skeletal muscle from both probands, suggesting that the missense substitution likely results in an unstable protein. Knock down of myl1 in zebrafish resulted in abnormal morphology, disrupted muscle structure and impaired touch-evoked escape responses, thus confirming that skeletal muscle fast-twitch specific myosin ELC is critical for myofibre development and function. Our data implicate MYL1 as a crucial protein for adequate skeletal muscle function and that MYL1 deficiency is associated with severe congenital myopathy.
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Affiliation(s)
- Gianina Ravenscroft
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Irina T Zaharieva
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | - Carlo A Bortolotti
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Matteo Lambrughi
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Marcello Pignataro
- Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Marco Borsari
- Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Caroline A Sewry
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | - Rahul Phadke
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | - Goknur Haliloglu
- Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Royston Ong
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Hayley Goullée
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Tamieka Whyte
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | | | - Adnan Manzur
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK
| | - Beril Talim
- Pediatric Pathology Unit, Hacettepe University Children's Hospital, Ankara, Turkey
| | - Ulkuhan Kaya
- Department of Pediatric Neurology, Dr. Sami Ulus Maternity and Children's Research and Training Hospital, Ministry of Health, Ankara, Turkey
| | - Daniel P S Osborn
- Cardiovascular and Cell Sciences Institute, St George's University of London, Cranmer Terrace, London SW17 0RE, UK
| | - Alistair R R Forrest
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Nigel G Laing
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands WA, Australia
| | - Francesco Muntoni
- The Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health & Great Ormond Street Hospital, London, UK.,NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, London WC1N 1EH, UK
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11
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Park JW, Lee JH, Kim SW, Han JS, Kang KS, Kim SJ, Park TS. Muscle differentiation induced up-regulation of calcium-related gene expression in quail myoblasts. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2018; 31:1507-1515. [PMID: 29879808 PMCID: PMC6127575 DOI: 10.5713/ajas.18.0302] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 05/29/2018] [Indexed: 11/27/2022]
Abstract
Objective In the poultry industry, the most important economic traits are meat quality and carcass yield. Thus, many studies were conducted to investigate the regulatory pathways during muscle differentiation. To gain insight of muscle differentiation mechanism during growth period, we identified and validated calcium-related genes which were highly expressed during muscle differentiation through mRNA sequencing analysis. Methods We conducted next-generation-sequencing (NGS) analysis of mRNA from undifferentiated QM7 cells and differentiated QM7 cells (day 1 to day 3 of differentiation periods). Subsequently, we obtained calcium related genes related to muscle differentiation process and examined the expression patterns by quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Results Through RNA sequencing analysis, we found that the transcription levels of six genes (troponin C1, slow skeletal and cardiac type [TNNC1], myosin light chain 1 [MYL1], MYL3, phospholamban [PLN], caveolin 3 [CAV3], and calsequestrin 2 [CASQ2]) particularly related to calcium regulation were gradually increased according to days of myotube differentiation. Subsequently, we validated the expression patterns of calcium-related genes in quail myoblasts. These results indicated that TNNC1, MYL1, MYL3, PLN, CAV3, CASQ2 responded to differentiation and growth performance in quail muscle. Conclusion These results indicated that calcium regulation might play a critical role in muscle differentiation. Thus, these findings suggest that further studies would be warranted to investigate the role of calcium ion in muscle differentiation and could provide a useful biomarker for muscle differentiation and growth.
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Affiliation(s)
- Jeong-Woong Park
- Institute of Green-Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea
| | - Jeong Hyo Lee
- Institute of Green-Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea
| | - Seo Woo Kim
- Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Korea
| | - Ji Seon Han
- Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Korea
| | - Kyung Soo Kang
- Bio Division, Medikinetics, Inc., Pyeongtaek 17792, Korea
| | - Sung-Jo Kim
- Division of Cosmetics and Biotechnology, Hoseo University, Asan 31499, Korea
| | - Tae Sub Park
- Institute of Green-Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea.,Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Korea
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12
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Taglietti V, Maroli G, Cermenati S, Monteverde S, Ferrante A, Rossi G, Cossu G, Beltrame M, Messina G. Nfix Induces a Switch in Sox6 Transcriptional Activity to Regulate MyHC-I Expression in Fetal Muscle. Cell Rep 2017; 17:2354-2366. [PMID: 27880909 PMCID: PMC5149531 DOI: 10.1016/j.celrep.2016.10.082] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Revised: 09/08/2016] [Accepted: 10/24/2016] [Indexed: 02/01/2023] Open
Abstract
Sox6 belongs to the Sox gene family and plays a pivotal role in fiber type differentiation, suppressing transcription of slow-fiber-specific genes during fetal development. Here, we show that Sox6 plays opposite roles in MyHC-I regulation, acting as a positive and negative regulator of MyHC-I expression during embryonic and fetal myogenesis, respectively. During embryonic myogenesis, Sox6 positively regulates MyHC-I via transcriptional activation of Mef2C, whereas during fetal myogenesis, Sox6 requires and cooperates with the transcription factor Nfix in repressing MyHC-I expression. Mechanistically, Nfix is necessary for Sox6 binding to the MyHC-I promoter and thus for Sox6 repressive function, revealing a key role for Nfix in driving Sox6 activity. This feature is evolutionarily conserved, since the orthologs Nfixa and Sox6 contribute to repression of the slow-twitch phenotype in zebrafish embryos. These data demonstrate functional cooperation between Sox6 and Nfix in regulating MyHC-I expression during prenatal muscle development. Sox6 has opposite roles in MyHC-I regulation during embryonic and fetal myogenesis In embryonic muscle, Sox6 enhances MyHC-I expression via regulation of Mef2C In fetal muscle, Nfix is required for Sox6-mediated repression of MyHC-I The Sox6 and Nfixa orthologs cooperate in repressing smyhc1 in zebrafish
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Affiliation(s)
| | - Giovanni Maroli
- Department of Biosciences, University of Milan, Milan 20133, Italy
| | - Solei Cermenati
- Department of Biosciences, University of Milan, Milan 20133, Italy
| | | | - Andrea Ferrante
- Department of Biosciences, University of Milan, Milan 20133, Italy
| | - Giuliana Rossi
- Department of Biosciences, University of Milan, Milan 20133, Italy
| | - Giulio Cossu
- Department of Biosciences, University of Milan, Milan 20133, Italy; Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Oxford Road, M13 9PL Manchester, UK
| | - Monica Beltrame
- Department of Biosciences, University of Milan, Milan 20133, Italy
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13
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Yoshida GM, Lhorente JP, Carvalheiro R, Yáñez JM. Bayesian genome-wide association analysis for body weight in farmed Atlantic salmon (Salmo salar L.). Anim Genet 2017; 48:698-703. [PMID: 29044715 DOI: 10.1111/age.12621] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/15/2017] [Indexed: 12/15/2022]
Abstract
We performed a genome-wide association study to detect markers associated with growth traits in Atlantic salmon. The analyzed traits included body weight at tagging (BWT) and body weight at 25 months (BW25M). Genotypes of 4662 animals were imputed from the 50K SNP chip to the 200K SNP chip using fimpute software. The markers were simultaneously modeled using Bayes C to identify genomic regions associated with the traits. We identified windows explaining a maximum of 3.71% and 3.61% of the genetic variance for BWT and BW25M respectively. We found potential candidate genes located within the top ten 1-Mb windows for BWT and BW25M. For instance, the vitronectin (VTN) gene, which has been previously reported to be associated with cell growth, was found within one of the top ten 1-Mb windows for BWT. In addition, the WNT1-inducible-signaling pathway protein 3, melanocortin 2 receptor accessory protein 2, myosin light chain kinase, transforming growth factor beta receptor type 3 and myosin light chain 1 genes, which have been reported to be associated with skeletal growth in humans, growth stimulation during the larval stage in zebrafish, body weight in pigs, feed conversion in chickens and growth rate of sheep skeletal muscle respectively, were found within some of the top ten 1-Mb windows for BW25M. These results indicate that growth traits are most likely controlled by many variants with relatively small effects in Atlantic salmon. The genomic regions associated with the traits studied here may provide further insight into the functional regions underlying growth traits in this species.
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Affiliation(s)
- G M Yoshida
- Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Av Santa Rosa 11735, La Pintana, Santiago, 8820808, Chile.,Animal Science Department, Faculdade de Ciências Agrárias e Veterinárias (FCAV), Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Campus Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane, 14884-900, Jaboticabal, Brazil
| | | | - R Carvalheiro
- Animal Science Department, Faculdade de Ciências Agrárias e Veterinárias (FCAV), Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP), Campus Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane, 14884-900, Jaboticabal, Brazil
| | - J M Yáñez
- Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Av Santa Rosa 11735, La Pintana, Santiago, 8820808, Chile.,Aquainnovo, Cardonal S/N, Puerto Montt, Chile
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14
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Wang YH, Zhang CL, Plath M, Fang XT, Lan XY, Zhou Y, Chen H. Global transcriptional profiling of longissimus thoracis muscle tissue in fetal and juvenile domestic goat using RNA sequencing. Anim Genet 2015; 46:655-65. [PMID: 26364974 DOI: 10.1111/age.12338] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2015] [Indexed: 01/05/2023]
Abstract
Domestic goats are important meat production animals; however, data from transcriptional profiling of skeletal muscle tissue in goat have thus far been scarce. We used comparative transcriptional profiling based on RNA sequencing of longissimus thoracis muscle tissue obtained from fetal goat muscle tissue (27 512 850 clean cDNA reads) and 6-month-old goat muscle tissue (27 582 908 reads) to identify genes that are differentially expressed, novel transcript units and alternative splicing events. Gene annotation revealed that 15 960 and 14 981 genes were expressed in the fetal and juvenile libraries respectively. We detected 6432 differentially expressed genes and, when considering GO terms, found 34, 27 and 55 terms to be significantly enriched in molecular function, cellular component and biological process categories respectively. Pathway analysis revealed that larger numbers of differentially expressed genes were enriched in fetal myogenesis or cell proliferation and differentiation-related pathways (such as Wnt), genes involved in the cell cycle and the Notch signaling pathway, and most of the differentially expressed genes involved in these pathways were downregulated in the juvenile goat library. These genes may be involved in various regulation mechanisms during muscle tissue differentiation between the two development stages examined herein. The identified novel transcript units, including both non-coding and coding RNA, as well as alternative splicing events increase the level of complexity of regulation mechanisms during muscle tissue formation and differentiation. Our study provides a comparative transcriptome analysis on goat muscle tissue, which will provide a valuable genomic resource for future studies investigating the molecular basis of skeletal muscle development.
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Affiliation(s)
- Y H Wang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China.,Institute of Cellular and Molecular Biology, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, China
| | - C L Zhang
- Institute of Cellular and Molecular Biology, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, China
| | - M Plath
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China
| | - X T Fang
- Institute of Cellular and Molecular Biology, Jiangsu Normal University, Xuzhou, Jiangsu, 221116, China
| | - X Y Lan
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China
| | - Y Zhou
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China
| | - H Chen
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, China
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15
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Zhang C, Wang G, Ji Z, Liu Z, Hou L, Liu G, Wang J. Molecular cloning, characterisation and mRNA expression analysis of the sheep myosin light chain 1 gene. Gene 2015; 569:51-9. [DOI: 10.1016/j.gene.2015.04.048] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2014] [Revised: 04/02/2015] [Accepted: 04/20/2015] [Indexed: 10/23/2022]
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16
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Gene coexpression networks reveal key drivers of phenotypic divergence in porcine muscle. BMC Genomics 2015; 16:50. [PMID: 25651817 PMCID: PMC4328970 DOI: 10.1186/s12864-015-1238-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2014] [Accepted: 01/12/2015] [Indexed: 01/12/2023] Open
Abstract
Background Domestication of the wild pig has led to obese and lean phenotype breeds, and evolutionary genome research has sought to identify the regulatory mechanisms underlying this phenotypic diversity. However, revealing the molecular mechanisms underlying muscle phenotype variation based on differentially expressed genes has proved to be difficult. To characterize the mechanisms regulating muscle phenotype variation under artificial selection, we aimed to provide an integrated view of genome organization by weighted gene coexpression network analysis. Results Our analysis was based on 20 publicly available next-generation sequencing datasets of lean and obese pig muscle generated from 10 developmental stages. The evolution of the constructed coexpression modules was examined using the genome resequencing data of 37 domestic pigs and 11 wild boars. Our results showed the regulation of muscle development might be more complex than had been previously acknowledged, and is regulated by the coordinated action of muscle, nerve and immunity related genes. Breed-specific modules that regulated muscle phenotype divergence were identified, and hundreds of hub genes with major roles in muscle development were determined to be responsible for key functional distinctions between breeds. Our evolutionary analysis showed that the role of changes in the coding sequence under positive selection in muscle phenotype divergence was minor. Conclusions Muscle phenotype divergence was found to be regulated by the divergence of coexpression network modules under artificial selection, and not by changes in the coding sequence of genes. Our results present multiple lines of evidence suggesting links between modules and muscle phenotypes, and provide insights into the molecular bases of genome organization in muscle development and phenotype variation. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1238-5) contains supplementary material, which is available to authorized users.
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17
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Neto OA, Tassy O, Biancalana V, Zanoteli E, Pourquié O, Laporte J. Integrative data mining highlights candidate genes for monogenic myopathies. PLoS One 2014; 9:e110888. [PMID: 25353622 PMCID: PMC4213015 DOI: 10.1371/journal.pone.0110888] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2014] [Accepted: 09/18/2014] [Indexed: 11/25/2022] Open
Abstract
Inherited myopathies are a heterogeneous group of disabling disorders with still barely understood pathological mechanisms. Around 40% of afflicted patients remain without a molecular diagnosis after exclusion of known genes. The advent of high-throughput sequencing has opened avenues to the discovery of new implicated genes, but a working list of prioritized candidate genes is necessary to deal with the complexity of analyzing large-scale sequencing data. Here we used an integrative data mining strategy to analyze the genetic network linked to myopathies, derive specific signatures for inherited myopathy and related disorders, and identify and rank candidate genes for these groups. Training sets of genes were selected after literature review and used in Manteia, a public web-based data mining system, to extract disease group signatures in the form of enriched descriptor terms, which include functional annotation, human and mouse phenotypes, as well as biological pathways and protein interactions. These specific signatures were then used as an input to mine and rank candidate genes, followed by filtration against skeletal muscle expression and association with known diseases. Signatures and identified candidate genes highlight both potential common pathological mechanisms and allelic disease groups. Recent discoveries of gene associations to diseases, like B3GALNT2, GMPPB and B3GNT1 to congenital muscular dystrophies, were prioritized in the ranked lists, suggesting a posteriori validation of our approach and predictions. We show an example of how the ranked lists can be used to help analyze high-throughput sequencing data to identify candidate genes, and highlight the best candidate genes matching genomic regions linked to myopathies without known causative genes. This strategy can be automatized to generate fresh candidate gene lists, which help cope with database annotation updates as new knowledge is incorporated.
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Affiliation(s)
- Osorio Abath Neto
- Dept. of Translational Medicine and Neurogenetics, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France
- Departamento de Neurologia, Faculdade de Medicina de São Paulo (FMUSP), São Paulo, Brazil
| | - Olivier Tassy
- Dept. of Development & Stem Cells, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France
| | - Valérie Biancalana
- Dept. of Translational Medicine and Neurogenetics, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France
- Faculté de Médecine, Laboratoire de Diagnostic Génétique, Nouvel Hopital Civil, Strasbourg, France
| | - Edmar Zanoteli
- Departamento de Neurologia, Faculdade de Medicina de São Paulo (FMUSP), São Paulo, Brazil
| | - Olivier Pourquié
- Dept. of Development & Stem Cells, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France
| | - Jocelyn Laporte
- Dept. of Translational Medicine and Neurogenetics, IGBMC, INSERM U964, CNRS UMR7104, University of Strasbourg, Collège de France, Illkirch, Strasbourg, France
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Myhre JL, Hills JA, Jean F, Pilgrim DB. Unc45b is essential for early myofibrillogenesis and costamere formation in zebrafish. Dev Biol 2014; 390:26-40. [DOI: 10.1016/j.ydbio.2014.02.022] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2014] [Accepted: 02/25/2014] [Indexed: 01/16/2023]
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Nord H, Burguiere AC, Muck J, Nord C, Ahlgren U, von Hofsten J. Differential regulation of myosin heavy chains defines new muscle domains in zebrafish. Mol Biol Cell 2014; 25:1384-95. [PMID: 24523292 PMCID: PMC3983002 DOI: 10.1091/mbc.e13-08-0486] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Numerous muscle lineages are formed during myogenesis within both slow- and fast-specific cell groups. New muscle domains are identified along the anteroposterior axis in zebrafish and are defined by individual nonoverlapping expression of myosin heavy chain isoforms differentially regulated by retinoic acid and wnt. Numerous muscle lineages are formed during myogenesis within both slow- and fast-specific cell groups. In this study, we show that six fast muscle–specific myosin heavy chain genes have unique expression patterns in the zebrafish embryo. The expression of tail-specific myosin heavy chain (fmyhc2.1) requires wnt signaling and is essential for fast muscle organization within the tail. Retinoic acid treatment results in reduced wnt signaling, which leads to loss of the fmyhc2.1 domain. Retinoic acid treatment also results in a shift of muscle identity within two trunk domains defined by expression of fmyhc1.2 and fmyhc1.3 in favor of the anteriormost myosin isoform, fmyhc1.2. In summary, we identify new muscle domains along the anteroposterior axis in the zebrafish that are defined by individual nonoverlapping, differentially regulated expression of myosin heavy chain isoforms.
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Affiliation(s)
- Hanna Nord
- Umeå Centre for Molecular Medicine, Umeå University, SE-901 87 Umeå, Sweden
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Andersson Lendahl M, Zetterberg H. The Nordic countries meeting on the zebrafish as a model for development and disease 2012. Zebrafish 2013; 10:124-5. [PMID: 23590403 DOI: 10.1089/zeb.2013.0869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The first Nordic Countries Meeting on the Zebrafish as a Model for Development and Disease took place at Karolinska Institutet in Stockholm, November 21-23, 2012. The meeting gathered 130 scientists, students, and company representatives from Iceland, Finland, Norway, Denmark, and Sweden, as well as invited guests and keynote speakers from England, Scotland, Germany, Poland, The Netherlands, Singapore, Japan, and the United States. Presentations covered a wide range of topics, including developmental biology, genetics, evolutionary biology, toxicology, behavioral studies, and disease mechanisms. The need for formal guidance and training in zebrafish housing, husbandry, and health monitoring was recognized, and the meeting expressed its support for the joint working group of the FELASA/COST action BM0804 EuFishBioMed. The decision was made to turn the Nordic meeting into an annual event and create a Nordic network of zebrafish researchers.
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Yao Z, Farr GH, Tapscott SJ, Maves L. Pbx and Prdm1a transcription factors differentially regulate subsets of the fast skeletal muscle program in zebrafish. Biol Open 2013; 2:546-55. [PMID: 23789105 PMCID: PMC3683157 DOI: 10.1242/bio.20133921] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2012] [Accepted: 03/01/2013] [Indexed: 01/08/2023] Open
Abstract
The basic helix–loop–helix factor Myod initiates skeletal muscle differentiation by directly and sequentially activating sets of muscle differentiation genes, including those encoding muscle contractile proteins. We hypothesize that Pbx homeodomain proteins direct Myod to a subset of its transcriptional targets, in particular fast-twitch muscle differentiation genes, thereby regulating the competence of muscle precursor cells to differentiate. We have previously shown that Pbx proteins bind with Myod on the promoter of the zebrafish fast muscle gene mylpfa and that Pbx proteins are required for Myod to activate mylpfa expression and the fast-twitch muscle-specific differentiation program in zebrafish embryos. Here we have investigated the interactions of Pbx with another muscle fiber-type regulator, Prdm1a, a SET-domain DNA-binding factor that directly represses mylpfa expression and fast muscle differentiation. The prdm1a mutant phenotype, early and increased fast muscle differentiation, is the opposite of the Pbx-null phenotype, delayed and reduced fast muscle differentiation. To determine whether Pbx and Prdm1a have opposing activities on a common set of genes, we used RNA-seq analysis to globally assess gene expression in zebrafish embryos with single- and double-losses-of-function for Pbx and Prdm1a. We find that the levels of expression of certain fast muscle genes are increased or approximately wild type in pbx2/4-MO;prdm1a−/− embryos, suggesting that Pbx activity normally counters the repressive action of Prdm1a for a subset of the fast muscle program. However, other fast muscle genes require Pbx but are not regulated by Prdm1a. Thus, our findings reveal that subsets of the fast muscle program are differentially regulated by Pbx and Prdm1a. Our findings provide an example of how Pbx homeodomain proteins act in a balance with other transcription factors to regulate subsets of a cellular differentiation program.
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Affiliation(s)
- Zizhen Yao
- Division of Human Biology, Fred Hutchinson Cancer Research Center , 1100 Fairview Avenue North, Seattle, WA 98109 , USA
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Nord H, Nygård Skalman L, von Hofsten J. Six1 regulates proliferation of Pax7-positive muscle progenitors in zebrafish. J Cell Sci 2013; 126:1868-80. [PMID: 23444384 DOI: 10.1242/jcs.119917] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In the embryonic zebrafish, skeletal muscle fibres are formed from muscle progenitors in the paraxial mesoderm. The embryonic myotome is mostly constituted of fast-twitch-specific fibres, which are formed from a fast-specific progenitor cell pool. The most lateral fraction of the fast domain in the myotome of zebrafish embryos derives from the Pax7-positive dermomyotome-like cells. In this study, we show that two genes, belonging to the sine oculus class 1 (six1) genes (six1a and six1b), are both essential for the regulation of Pax7(+) cell proliferation and, consequently, in their differentiation during the establishment of the zebrafish dermomyotome. In both six1a and six1b morphant embryos, Pax7(+) cells are initially formed but fail to proliferate, as detected by reduced levels of the proliferation marker phosphohistone3 and reduced brdU incorporation. In congruence, overexpression of six1a or six1b leads to increased Pax7(+) cell number and reduced or alternatively delayed fibre cell differentiation. Bone morphogenetic protein signalling has previously been suggested to inhibit differentiation of Pax7(+) cells in the dermomyotome. Here we show that the remaining Pax7(+) cells in six1a and six1b morphant embryos also have significantly reduced pSmad1/5/8 levels and propose that this leads to a reduced proliferative activity, which may result in a premature differentiation of Pax7(+) cells in the zebrafish dermomyotome. In summary, we show a mechanism for Six1a and Six1b in establishing the Pax7(+) cell derived part of the fast muscle and suggest new important roles for Six1 in the regulation of the Pax7(+) muscle cell population through pSmad1/5/8 signalling.
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Affiliation(s)
- Hanna Nord
- Umeå Center for Molecular Medicine, UCMM, Umeå University, 901 87 Umeå, Sweden
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