109 research outputs found

    Identifying human perivascular stem cell subsets

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    Perivascular stem cells (PSCs) include pericytes and adventitial cells. PSCs present multiple properties. PSCs are involved in angiogenesis, immunoregulation, and haematopoiesis support and are multi-lineage progenitor cells. Therefore, PSCs are a heterogeneous group of cells. We investigated PSC subsets based on novel markers: CD10 and CD107a. We analysed whether the expression of CD10 or CD107a on PSCs from foetal muscle correlates with the capability of differentiation and fibroblast-colony forming unit (CFU-f) content. The CD10-positive or CD107apositive PSCs were separated from CD10-negative or CD107a-negative PSCs by cell sorting. CFU-f was quantified. The differentiation of PSC subsets in culture was documented by cytochemistry. We confirmed that CD10 and CD107a PSCs subsets exist in multiple human tissues. CD10-positive and CD10-negative PSC subsets show similar ability for both CFU-f potential and osteogenesis in vitro.CD107anegative cells show higher CFU-f potential. However, CD107a-positive PSCs were associated with a higher osteogenic differentiation potential in human foetal muscle in vitro. Our study provides early evidence that CD107a-positive adventitial cells present a subset that is prone to differentiate into osteoblasts

    Research on dynamic load characteristics and active control strategy of electro-mechanical coupling powertrain of drum shearer cutting unit under impact load

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    In order to extend the service life of the long-chain gear transmission system of a drum shearer, an electro-mechanical coupling model of a drum shearer cutting unit is established. The model considers the dynamic characteristics of the motor, time-varying meshing stiffness, as well as the drum load characteristics. Additionally, the dynamic characteristics and control strategy for suppressing the dynamic load of the gear transmission system under impact load are investigated based on this model. Firstly, the influence of the gear transmission system of the drum shearer cutting unit under impact load is analyzed. Then, on that basis, the active control strategy based on motor torque compensation is proposed to suppress the dynamic load of the gear transmission system caused by mutational external load. Finally, the suppression effect on the dynamic load of the gear transmission system is analyzed. Research results indicate that this control strategy has good control effects to suppress the dynamic load caused by a mutational external load, which confirms the effectiveness of the proposed control strategy

    Identification and profiling of microRNA between back and belly Skin in Rex rabbits (Oryctolagus cuniculus)

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    [EN] Skin is an important trait for Rex rabbits and skin development is influenced by many processes, including hair follicle cycling, keratinocyte differentiation and formation of coat colour and skin morphogenesis. We identified differentially expressed microRNAs (miRNAs) between the back and belly skin in Rex rabbits. In total, 211 miRNAs (90 upregulated miRNAs and 121 downregulated miRNAs) were identified with a |log2 (fold change)|>1 and P-value<0.05. Using target gene prediction for the miRNAs, differentially expressed predicted target genes were identified and the functional enrichment and signalling pathways of these target genes were processed to reveal their biological functions. A number of differentially expressed miRNAs were found to be involved in regulation of the cell cycle, skin epithelium differentiation, keratinocyte proliferation, hair follicle development and melanogenesis. In addition, target genes regulated by miRNAs play key roles in the activities of the Hedgehog signalling pathway, Wnt signalling pathway, Osteoclast differentiation and MAPK pathway, revealing mechanisms of skin development. Nine candidate miRNAs and 5 predicted target genes were selected for verification of their expression by quantitative reverse transcription polymerase chain reaction. A regulation network of miRNA and their target genes was constructed by analysing the GO enrichment and signalling pathways. Further studies should be carried out to validate the regulatory relationships between candidate miRNAs and their target genes.This study was supported by the Modern Agricultural Industrial System Special Funding (CARS-44-A-1), the Priority Academic Programme Development of Jiangsu Higher Education Institutions (2014-134) and the General Programme of Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (16KJB230001).Zhao, B.; Chen, Y.; Mu, L.; Hu, S.; Wu, X. (2018). Identification and profiling of microRNA between back and belly Skin in Rex rabbits (Oryctolagus cuniculus). World Rabbit Science. 26(2):179-190. https://doi.org/10.4995/wrs.2018.7058SWORD179190262Adamidi C. 2008. Discovering microRNAs from deep sequencing data using miRDeep. Nature Biotechnol., 26: 407-415. https://doi.org/10.1038/nbt1394Adijanto J., Castorino J.J., Wang Z.X., Maminishkis A., Grunwald G.B., Philp N.J. 2012. Microphthalmia-associated transcription factor (MITF) promotes differentiation of human retinal pigment epithelium (RPE) by regulating microRNAs-204/211 expression. J. Biol. Chem., 287: 20491-https://doi.org/10.1074/jbc.M112.354761Ahmed M.I., Alam M., Emelianov V.U., Poterlowicz K., Patel A., Sharov A.A., Mardaryev A.N., Botchkareva N.V. 2014. MicroRNA-214 controls skin and hair follicle development by modulating the activity of the Wnt pathway. J. Cell Biol., 207: 549-567. https://doi.org/10.1083/jcb.201404001Alexander M., Kawahara G., Motohashi N., Casar J., Eisenberg I., Myers J., Gasperini M., Estrella E., Kho A., Mitsuhashi S. 2013. MicroRNA-199a is induced in dystrophic muscle and affects WNT signaling, cell proliferation, and myogenic differentiation. Cell Death Diff., 20: 1194-1208. https://doi.org/10.1038/cdd.2013.62Anders S. 2010. Analysing RNA-Seq data with the DESeq package. Mol. Biol., 43: 1-17.Andl T., Botchkareva N.V. 2015. MicroRNAs (miRNAs) in the control of HF development and cycling: the next frontiers in hair research. Exp. Dermatol., 24: 821-826. https://doi.org/10.1111/exd.12785Andl T., Reddy S.T., Gaddapara T., Millar S.E. 2002. WNT signals are required for the initiation of hair follicle development. Develop. Cell, 2: 643-653. https://doi.org/10.1016/S1534-5807(02)00167-3Antonini D., Russo MT., De Rosa L., Gorrese M., Del Vecchio L., Missero C. 2010. Transcriptional repression of miR-34 family contributes to p63-mediated cell cycle progression in epidermal cells. J. Invest. Dermatol., 130: 1249-1257. https://doi.org/10.1038/jid.2009.438Athar M., Tang X., Lee J.L., Kopelovich L., Kim AL. 2006. Hedgehog signalling in skin development and cancer. Exp. Dermatol., 15: 667-677. https://doi.org/10.1111/j.1600-0625.2006.00473.xBartel D.P. 2004. MicroRNAs: genomics, biogenesis, mechanism, and function. 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Plos One 9: e93750. https://doi.org/10.1371/journal.pone.0093750Fuchs E. 2007. Scratching the surface of skin development. Nature, 445: 834-842. https://doi.org/10.1038/nature05659Georges S.A., Chau B.N., Braun C.J., Zhang X., Dobbelstein M. 2009. Cell cycle arrest or apoptosis by p53: are microRNAs-192/215 and-34 making the decision? Cell Cycle 8: 677-682. https://doi.org/10.4161/cc.8.5.8076Jackson S.J., Zhang Z., Feng D., Flagg M., O'Loughlin E., Wang D., Stokes N., Fuchs E., Yi R. 2013. Rapid and widespread suppression of self-renewal by microRNA-203 during epidermal differentiation. Development, 140: 1882-1891. https://doi.org/10.1242/dev.089649Katoh Y., Katoh M. 2008. Hedgehog signaling, epithelial-tomesenchymal transition and miRNA (review). Int. J. Mol. Med., 22: 271-275. https://doi.org/10.3892/ijmm_00000019Kim K., Vinayagam A., Perrimon N. 2014. A rapid genomewide microRNA screen identifies miR-14 as a modulator of Hedgehog signaling. 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    Functional and effective connectivity analysis of drug-resistant epilepsy: a resting-state fMRI analysis

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    ObjectiveEpilepsy is considered as a neural network disorder. Seizure activity in epilepsy may disturb brain networks and damage brain functions. We propose using resting-state functional magnetic resonance imaging (rs-fMRI) data to characterize connectivity patterns in drug-resistant epilepsy.MethodsThis study enrolled 47 participants, including 28 with drug-resistant epilepsy and 19 healthy controls. Functional and effective connectivity was employed to assess drug-resistant epilepsy patients within resting state networks. The resting state functional connectivity (FC) analysis was performed to assess connectivity between each patient and healthy controls within the default mode network (DMN) and the dorsal attention network (DAN). In addition, dynamic causal modeling was used to compute effective connectivity (EC). Finally, a statistical analysis was performed to evaluate our findings.ResultsThe FC analysis revealed significant connectivity changes in patients giving 64.3% (18/28) and 78.6% (22/28) for DMN and DAN, respectively. Statistical analysis of FC was significant between the medial prefrontal cortex, posterior cingulate cortex, and bilateral inferior parietal cortex for DMN. For DAN, it was significant between the left and the right intraparietal sulcus and the frontal eye field. For the DMN, the patient group showed significant EC connectivity in the right inferior parietal cortex and the medial prefrontal cortex for the DMN. There was also bilateral connectivity between the medial prefrontal cortex and the posterior cingulate cortex, as well as between the left and right inferior parietal cortex. For DAN, patients showed significant connectivity in the right frontal eye field and the right intraparietal sulcus. Bilateral connectivity was also found between the left frontal eye field and the left intraparietal sulcus, as well as between the right frontal eye field and the right intraparietal sulcus. The statistical analysis of the EC revealed a significant result in the medial prefrontal cortex and the right intraparietal cortex for the DMN. The DAN was found significant in the left frontal eye field, as well as the left and right intraparietal sulcus.ConclusionOur results provide preliminary evidence to support that the combination of functional and effective connectivity analysis of rs-fMRI can aid in diagnosing epilepsy in the DMN and DAN networks

    Lysosomal protein surface expression discriminates fat- from bone-forming human mesenchymal precursor cells

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    Tissue resident mesenchymal stem/stromal cells (MSCs) occupy perivascular spaces. Profiling human adipose perivascular mesenchyme with antibody arrays identified 16 novel surface antigens, including endolysosomal protein CD107a. Surface CD107a expression segregates MSCs into functionally distinct subsets. In culture, CD107a(low) cells demonstrate high colony formation, osteoprogenitor cell frequency, and osteogenic potential. Conversely, CD107a(high) cells include almost exclusively adipocyte progenitor cells. Accordingly, human CD107a(low) cells drove dramatic bone formation after intramuscular transplantation in mice, and induced spine fusion in rats, whereas CD107a(high) cells did not. CD107a protein trafficking to the cell surface is associated with exocytosis during early adipogenic differentiation. RNA sequencing also suggested that CD107a(low) cells are precursors of CD107a(high) cells. These results document the molecular and functional diversity of perivascular regenerative cells, and show that relocation to cell surface of a lysosomal protein marks the transition from osteo- to adipogenic potential in native human MSCs, a population of substantial therapeutic interest

    Systematic Analysis of Non-coding RNAs Involved in the Angora Rabbit (Oryctolagus cuniculus) Hair Follicle Cycle by RNA Sequencing

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    The hair follicle (HF) cycle is a complicated and dynamic process in mammals, associated with various signaling pathways and gene expression patterns. Non-coding RNAs (ncRNAs) are RNA molecules that are not translated into proteins but are involved in the regulation of various cellular and biological processes. This study explored the relationship between ncRNAs and the HF cycle by developing a synchronization model in Angora rabbits. Transcriptome analysis was performed to investigate ncRNAs and mRNAs associated with the various stages of the HF cycle. One hundred and eleven long non-coding RNAs (lncRNAs), 247 circular RNAs (circRNAs), 97 microRNAs (miRNAs), and 1,168 mRNAs were differentially expressed during the three HF growth stages. Quantitative real-time PCR was used to validate the ncRNA transcriptome analysis results. Gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses provided information on the possible roles of ncRNAs and mRNAs during the HF cycle. In addition, lncRNA–miRNA–mRNA and circRNA–miRNA–mRNA ceRNA networks were constructed to investigate the underlying relationships between ncRNAs and mRNAs. LNC_002919 and novel_circ_0026326 were found to act as ceRNAs and participated in the regulation of the HF cycle as miR-320-3p sponges. This research comprehensively identified candidate regulatory ncRNAs during the HF cycle by transcriptome analysis, highlighting the possible association between ncRNAs and the regulation of hair growth. This study provides a basis for systematic further research and new insights on the regulation of the HF cycle

    Histone H1.0 couples cellular mechanical behaviors to chromatin structure

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    Tuning of genome structure and function is accomplished by chromatin-binding proteins, which determine the transcriptome and phenotype of the cell. Here we investigate how communication between extracellular stress and chromatin structure may regulate cellular mechanical behaviors. We demonstrate that histone H1.0, which compacts nucleosomes into higher-order chromatin fibers, controls genome organization and cellular stress response. We show that histone H1.0 has privileged expression in fibroblasts across tissue types and that its expression is necessary and sufficient to induce myofibroblast activation. Depletion of histone H1.0 prevents cytokine-induced fibroblast contraction, proliferation and migration via inhibition of a transcriptome comprising extracellular matrix, cytoskeletal and contractile genes, through a process that involves locus-specific H3K27 acetylation. Transient depletion of histone H1.0 in vivo prevents fibrosis in cardiac muscle. These findings identify an unexpected role of linker histones to orchestrate cellular mechanical behaviors, directly coupling force generation, nuclear organization and gene transcription

    Deubiquitination of MITF-M Regulates Melanocytes Proliferation and Apoptosis

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    Microphthalmia-associated transcription factor-M (MITF-M) is the key gene in the proliferation and differentiation of melanocytes, which undergoes an array of post-translation modifications. As shown in our previous study, deubiquitinase USP13 is directly involved in melanogenesis. However, it is still ambiguous that the effect of USP13-mediated MITF-M expression on melanocytes proliferation and apoptosis. Herein, we found that MITF-M overexpressing melanocytes showed high cell proliferation, reduced apoptosis, and increased melanin levels. Besides, melanin-related genes, TYR, DCT, GPNMB, and PMEL, were significantly up-regulated in MITF-M overexpressing melanocytes. Furthermore, Exogenous USP13 significantly upregulated the endogenous MITF-M protein level, downregulated USP13 significantly inhibited MITF-M protein levels, without altering MITF-M mRNA expression. In addition, USP13 upregulation mitigated the MITF-M degradation and significantly increased the half-life of MITF-M. Also, USP13 stabilized the exogenous MITF protein levels. In conclusion, the MITF-M level was regulated by USP13 deubiquitinase in melanocytes, affecting melanocytes proliferation and apoptosis. This study provides the theoretical basis for coat color transformation that could be useful in the development of the new breed in fur animals
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