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Zhao B, Katuwawala A, Oldfield CJ, Hu G, Wu Z, Uversky VN, Kurgan L. Intrinsic Disorder in Human RNA-Binding Proteins. J Mol Biol 2021; 433:167229. [PMID: 34487791 DOI: 10.1016/j.jmb.2021.167229] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/30/2021] [Accepted: 08/31/2021] [Indexed: 12/24/2022]
Abstract
Although RNA-binding proteins (RBPs) are known to be enriched in intrinsic disorder, no previous analysis focused on RBPs interacting with specific RNA types. We fill this gap with a comprehensive analysis of the putative disorder in RBPs binding to six common RNA types: messenger RNA (mRNA), transfer RNA (tRNA), small nuclear RNA (snRNA), non-coding RNA (ncRNA), ribosomal RNA (rRNA), and internal ribosome RNA (irRNA). We also analyze the amount of putative intrinsic disorder in the RNA-binding domains (RBDs) and non-RNA-binding-domain regions (non-RBD regions). Consistent with previous studies, we show that in comparison with human proteome, RBPs are significantly enriched in disorder. However, closer examination finds significant enrichment in predicted disorder for the mRNA-, rRNA- and snRNA-binding proteins, while the proteins that interact with ncRNA and irRNA are not enriched in disorder, and the tRNA-binding proteins are significantly depleted in disorder. We show a consistent pattern of significant disorder enrichment in the non-RBD regions coupled with low levels of disorder in RBDs, which suggests that disorder is relatively rarely utilized in the RNA-binding regions. Our analysis of the non-RBD regions suggests that disorder harbors posttranslational modification sites and is involved in the putative interactions with DNA. Importantly, we utilize experimental data from DisProt and independent data from Pfam to validate the above observations that rely on the disorder predictions. This study provides new insights into the distribution of disorder across proteins that bind different RNA types and the functional role of disorder in the regions where it is enriched.
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Affiliation(s)
- Bi Zhao
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Akila Katuwawala
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Christopher J Oldfield
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Gang Hu
- School of Statistics and Data Science, LPMC and KLMDASR, Nankai University, Tianjin 300071, China
| | - Zhonghua Wu
- School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China
| | - Vladimir N Uversky
- Department of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
| | - Lukasz Kurgan
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA.
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2
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Gardinier JD. The Diminishing Returns of Mechanical Loading and Potential Mechanisms that Desensitize Osteocytes. Curr Osteoporos Rep 2021; 19:436-443. [PMID: 34216359 PMCID: PMC9306018 DOI: 10.1007/s11914-021-00693-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/27/2021] [Indexed: 11/30/2022]
Abstract
Adaptation to mechanical loading is critical to maintaining bone mass and offers therapeutic potential to preventing age-related bone loss and osteoporosis. However, increasing the duration of loading is met with "diminishing returns" as the anabolic response quickly becomes saturated. As a result, the anabolic response to daily activities and repetitive bouts of loading is limited by the underlying mechanisms that desensitize and render bone unresponsive at the cellular level. Osteocytes are the primary cells that respond to skeletal loading and facilitate the overall anabolic response. Although many of osteocytes' signaling mechanisms activated in response to loading are considered anabolic in nature, several of them can also render osteocytes insensitive to further stimuli and thereby creating a negative feedback loop that limits osteocytes' overall response. The purpose of this review is to examine the potential mechanisms that may contribute to the loss of mechanosensitivity. In particular, we examined the inactivation/desensitization of ion channels and signaling molecules along with the potential role of endocytosis and cytoskeletal reorganization. The significance in defining the negative feedback loop is the potential to identify unique targets for enabling osteocytes to maintain their sensitivity. In doing so, we can begin to cultivate new strategies that capitalize on the anabolic nature of daily activities that repeatedly load the skeleton.
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Xiao W, Xin L, Cao R, Wu X, Tian R, Che L, Sun L, Ferraro P, Pan F. Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning. LAB ON A CHIP 2021; 21:1385-1394. [PMID: 33585849 DOI: 10.1039/d0lc01113d] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
We present sensing time-lapse morphogenesis of living bone cells under micro-fluidic shear stress (FSS) by digital holographic (DH) microscopy. To remove the effect of aberrations on quantitative measurements, we propose a numerical and automatic method to compensate for aberrations based on a convolutional neural network (CNN). For the first time, the aberration compensation issue is considered as a regression task where optimal coefficients for constructing the phase aberration map act as responses corresponding to the input aberrated phase image. We adopted tens of thousands of living cells' phase images reconstructed from digital holograms for training the CNN. The experiments demonstrate that, based on the trained network, phase aberrations can be totally removed in real-time without any hypothesis of object and aberration phase, knowledge of the setup's physical parameters, and the operation of selecting background regions; hence, the morphogenesis of the bone cells under FSS is accurately detected and quantitatively analyzed. The results show that the proposed method could provide a highly efficient and versatile way to investigate the effects of micro-FSS on living biological cells in microfluidic lab-on-chip platforms thanks to the combination of phase-contrast label-free microcopy with artificial intelligence.
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Affiliation(s)
- Wen Xiao
- Key Laboratory of Precision Opto-mechatronics Technology, School of Instrumentation & Optoelectronic Engineering, Beihang University, Beijing 100191, China.
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Zhao B, Katuwawala A, Uversky VN, Kurgan L. IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cell. Cell Mol Life Sci 2021; 78:2371-2385. [PMID: 32997198 PMCID: PMC11071772 DOI: 10.1007/s00018-020-03654-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 09/09/2020] [Accepted: 09/22/2020] [Indexed: 12/11/2022]
Abstract
Intrinsic disorder can be found in all proteomes of all kingdoms of life and in viruses, being particularly prevalent in the eukaryotes. We conduct a comprehensive analysis of the intrinsic disorder in the human proteins while mapping them into 24 compartments of the human cell. In agreement with previous studies, we show that human proteins are significantly enriched in disorder relative to a generic protein set that represents the protein universe. In fact, the fraction of proteins with long disordered regions and the average protein-level disorder content in the human proteome are about 3 times higher than in the protein universe. Furthermore, levels of intrinsic disorder in the majority of human subcellular compartments significantly exceed the average disorder content in the protein universe. Relative to the overall amount of disorder in the human proteome, proteins localized in the nucleus and cytoskeleton have significantly increased amounts of disorder, measured by both high disorder content and presence of multiple long intrinsically disordered regions. We empirically demonstrate that, on average, human proteins are assigned to 2.3 subcellular compartments, with proteins localized to few subcellular compartments being more disordered than the proteins that are localized to many compartments. Functionally, the disordered proteins localized in the most disorder-enriched subcellular compartments are primarily responsible for interactions with nucleic acids and protein partners. This is the first-time disorder is comprehensively mapped into the human cell. Our observations add a missing piece to the puzzle of functional disorder and its organization inside the cell.
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Affiliation(s)
- Bi Zhao
- Department of Computer Science, Virginia Commonwealth University, 401 West Main Street, Room E4225, Richmond, VA, 23284, USA
| | - Akila Katuwawala
- Department of Computer Science, Virginia Commonwealth University, 401 West Main Street, Room E4225, Richmond, VA, 23284, USA
| | - Vladimir N Uversky
- Department of Molecular Medicine, USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, 12901 Bruce B. Downs Blvd. MDC07, Tampa, FL, 33612, USA.
- Laboratory of New Methods in Biology, Institute for Biological Instrumentation of the Russian Academy of Sciences, Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Pushchino, Russia.
| | - Lukasz Kurgan
- Department of Computer Science, Virginia Commonwealth University, 401 West Main Street, Room E4225, Richmond, VA, 23284, USA.
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Onaizah O, Xu L, Middleton K, You L, Diller E. Local stimulation of osteocytes using a magnetically actuated oscillating beam. PLoS One 2020; 15:e0235366. [PMID: 32598396 PMCID: PMC7323988 DOI: 10.1371/journal.pone.0235366] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 06/13/2020] [Indexed: 11/18/2022] Open
Abstract
Mechanical loading on bone tissue is an important physiological stimulus that plays a key role in bone growth, fracture repair, and treatment of bone diseases. Osteocytes (bone cells embedded in bone matrix) are well accepted as the sensor cells to mechanical loading and play a critical role in regulating the bone structure in response to mechanical loading. To understand the response of osteocytes to differential mechanical stimulation in physiologically relevant arrangements, there is a need for a platform which can locally stimulate bone cells with different levels of fluid shear stress. In this study, we developed a device aiming to achieve non-contact local mechanical stimulation of osteocytes with a magnetically actuated beam that generates the fluid shear stresses encountered in vivo. The stimulating beam was made from a composite of magnetic powder and polymer, where a magnetic field was used to precisely oscillate the beam in the horizontal plane. The beam is placed above a cell-seeded surface with an estimated gap height of 5 μm. Finite element simulations were performed to quantify the shear stress values and to generate a shear stress map in the region of interest. Osteocytes were seeded on the device and were stimulated while their intracellular calcium responses were quantified and correlated with their position and local shear stress value. We observed that cells closer to the oscillating beam respond earlier compared to cells further away from the local shear stress gradient generated by the oscillating beam. We have demonstrated the capability of our device to mimic the propagation of calcium signalling to osteocytes outside of the stimulatory region. This device will allow for future studies of osteocyte network signalling with a physiologically accurate localized shear stress gradient.
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Affiliation(s)
- Onaizah Onaizah
- Department of Mechanical and Industrial Engineering, University of Toronto, Ontario, Toronto, Canada
| | - Liangcheng Xu
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Ontario, Toronto, Canada
| | - Kevin Middleton
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Ontario, Toronto, Canada
| | - Lidan You
- Department of Mechanical and Industrial Engineering, University of Toronto, Ontario, Toronto, Canada
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Ontario, Toronto, Canada
| | - Eric Diller
- Department of Mechanical and Industrial Engineering, University of Toronto, Ontario, Toronto, Canada
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Ghadermarzi S, Li X, Li M, Kurgan L. Sequence-Derived Markers of Drug Targets and Potentially Druggable Human Proteins. Front Genet 2019; 10:1075. [PMID: 31803227 PMCID: PMC6872670 DOI: 10.3389/fgene.2019.01075] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 10/09/2019] [Indexed: 12/16/2022] Open
Abstract
Recent research shows that majority of the druggable human proteome is yet to be annotated and explored. Accurate identification of these unexplored druggable proteins would facilitate development, screening, repurposing, and repositioning of drugs, as well as prediction of new drug–protein interactions. We contrast the current drug targets against the datasets of non-druggable and possibly druggable proteins to formulate markers that could be used to identify druggable proteins. We focus on the markers that can be extracted from protein sequences or names/identifiers to ensure that they can be applied across the entire human proteome. These markers quantify key features covered in the past works (topological features of PPIs, cellular functions, and subcellular locations) and several novel factors (intrinsic disorder, residue-level conservation, alternative splicing isoforms, domains, and sequence-derived solvent accessibility). We find that the possibly druggable proteins have significantly higher abundance of alternative splicing isoforms, relatively large number of domains, higher degree of centrality in the protein-protein interaction networks, and lower numbers of conserved and surface residues, when compared with the non-druggable proteins. We show that the current drug targets and possibly druggable proteins share involvement in the catalytic and signaling functions. However, unlike the drug targets, the possibly druggable proteins participate in the metabolic and biosynthesis processes, are enriched in the intrinsic disorder, interact with proteins and nucleic acids, and are localized across the cell. To sum up, we formulate several markers that can help with finding novel druggable human proteins and provide interesting insights into the cellular functions and subcellular locations of the current drug targets and potentially druggable proteins.
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Affiliation(s)
- Sina Ghadermarzi
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA, United States
| | - Xingyi Li
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Min Li
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Lukasz Kurgan
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA, United States
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Pontiggia D, Spinelli F, Fabbri C, Licursi V, Negri R, De Lorenzo G, Mattei B. Changes in the microsomal proteome of tomato fruit during ripening. Sci Rep 2019; 9:14350. [PMID: 31586085 PMCID: PMC6778153 DOI: 10.1038/s41598-019-50575-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Accepted: 08/23/2019] [Indexed: 11/09/2022] Open
Abstract
The variations in the membrane proteome of tomato fruit pericarp during ripening have been investigated by mass spectrometry-based label-free proteomics. Mature green (MG30) and red ripe (R45) stages were chosen because they are pivotal in the ripening process: MG30 corresponds to the end of cellular expansion, when fruit growth has stopped and fruit starts ripening, whereas R45 corresponds to the mature fruit. Protein patterns were markedly different: among the 1315 proteins identified with at least two unique peptides, 145 significantly varied in abundance in the process of fruit ripening. The subcellular and biochemical fractionation resulted in GO term enrichment for organelle proteins in our dataset, and allowed the detection of low-abundance proteins that were not detected in previous proteomic studies on tomato fruits. Functional annotation showed that the largest proportion of identified proteins were involved in cell wall metabolism, vesicle-mediated transport, hormone biosynthesis, secondary metabolism, lipid metabolism, protein synthesis and degradation, carbohydrate metabolic processes, signalling and response to stress.
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Affiliation(s)
- Daniela Pontiggia
- Department of Biology and Biotechnology "C. Darwin", Sapienza University of Rome, Rome, Italy
| | - Francesco Spinelli
- Department of Biology and Biotechnology "C. Darwin", Sapienza University of Rome, Rome, Italy
| | - Claudia Fabbri
- Department of Biology and Biotechnology "C. Darwin", Sapienza University of Rome, Rome, Italy
| | - Valerio Licursi
- Department of Biology and Biotechnology "C. Darwin", Sapienza University of Rome, Rome, Italy.,Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy
| | - Rodolfo Negri
- Department of Biology and Biotechnology "C. Darwin", Sapienza University of Rome, Rome, Italy.,Foundation Cenci Bolognetti-Institut Pasteur, Rome, Italy
| | - Giulia De Lorenzo
- Department of Biology and Biotechnology "C. Darwin", Sapienza University of Rome, Rome, Italy. .,Foundation Cenci Bolognetti-Institut Pasteur, Rome, Italy.
| | - Benedetta Mattei
- Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
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8
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Wang X, He Y, Tian S, Zhu F, Huang B, Zhang J, Chen Z, Wang H. Fluid Shear Stress Increases Osteocyte and Inhibits Osteoclasts via Downregulating Receptor-Activator of Nuclear Factor κB (RANK)/Osteoprotegerin Expression in Myeloma Microenvironment. Med Sci Monit 2019; 25:5961-5968. [PMID: 31400110 PMCID: PMC6699202 DOI: 10.12659/msm.915986] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Background The aim of this study was to determine the effects of myeloma cells exposed to fluid shear stress on osteocytes and osteoclasts, and clarify the potential underlying mechanisms. Material/methods A flow and a non-flow model were established using a flow fluid chamber. The myeloma cell line U266 and murine osteocytic MLO-Y4 cells were cultured in vitro. The osteocytes and osteoclasts were examined under a microscope. Osteoclasts were stained for tartrate-resistant acid phosphatase (TRAP) activity. RANKL and osteoprotegerin (OPG) gene expression were detected using reverse transcription-quantitative polymerase chain reaction. Results Compared with the controls, Y4 cells cultured with U266 culture supernatant showed altered morphology, fewer osteocytes, increased RANKL gene expression, a higher RANKL/OPG gene ratio, and a greater number of TRAP-positive osteoclasts (P<0.05 for all). Compared to the no-flow model, the flow model showed a higher number of Y4 cells, increased OPG gene expression, decreased RANKL gene expression, a lower RANKL/OPG gene ratio, and fewer TRAP-positive osteoclasts (P<0.05 for all). Conclusions Our study revealed that fluid shear stress ameliorated the inhibitory effects of myeloma cells on osteocyte growth and inhibited osteoclast proliferation by means of decreasing RANKL/OPG gene expression. This may have clinical implications in patients with multiple myeloma in that mechanical loading with low-intensity vibration or mild exercise may prevent the progression of myeloma bone disease.
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Affiliation(s)
- Xiaotao Wang
- Department of Hematology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China (mainland)
| | - Yuchan He
- Department of Hematology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China (mainland)
| | - Shen Tian
- Department of Hematology, The Second Affiliated Hospital of Guilin Medical University,, Guilin, Guangxi, China (mainland)
| | - Fangxiao Zhu
- Department of Rheumatic Immunology, The Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China (mainland)
| | - Bo Huang
- Department of Hematology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China (mainland)
| | - Junyan Zhang
- Department of Hematology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China (mainland)
| | - Zhong Chen
- Department of Hematology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China (mainland)
| | - Hangfei Wang
- Department of Hematology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China (mainland)
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Wang Y, Zeng Z, Cheng Y, Zhao L, Yan Q, Qiu Y, Hu J, Guo J. Orthodontic compressive force modulates Ets-1/Tks5 pathway to promote the formation of circumferential invadopodia and the fusion of osteoclast precursors. J Cell Physiol 2018; 234:12685-12691. [PMID: 30523634 DOI: 10.1002/jcp.27879] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 11/14/2018] [Indexed: 01/27/2023]
Abstract
During orthodontic treatment a mechanical force is applied to the teeth. However, it remains unclear how mechanical force promotes the maturation and fusion of osteoclast precursors into osteoclasts. In this study, we aimed to explore the mechanism by which orthodontic compressive force promotes osteoclast maturation. We used a RAW264.7 macrophage-like cell line derived from Balb/c mice as the experimental model. We found that compressive force promoted the maturation of osteoclasts based on tartrate-resistant acid phosphatase staining and the formation of invadopodia based on immunstaining of Tks5 and F-actin. Moreover, we found that compressive force upregulated the expression of Ets-1 and Tks5 and promoted the activation of Ets-1 in RAW264.7 cells. Furthermore, we identified Tks5 as a transcription target of Ets-1 in RAW264.7 cells and demonstrated that Ets-1 mediates the effects of compressive force on Tks5 upregulation, invadopodia formation and cell fusion in osteoclasts. In conclusion, Ets-1 is upregulated by compressive force and it is essential to transducing the mechanical signal to promote invadopodia formation and osteoclast fusion. Our findings provide novel insight into the mechanism underlying osteoclast maturation and fusion during orthodontic treatment.
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Affiliation(s)
- Yifan Wang
- Shandong Provincial Key Laboratory of Oral Tissue Regeneration, School of Stomatology, Shandong University, Jinan, China.,Department of Orthodontics, School of Stomatology, Shandong University, Jinan, China
| | - Zhimin Zeng
- Department of Orthodontics, School of Stomatology, Kunming Medical University, Kunming, Yunnan, China
| | - Yali Cheng
- Department of Orthodontics, School of Stomatology, Kunming Medical University, Kunming, Yunnan, China
| | - Liyao Zhao
- Department of Orthodontics, School of Stomatology, Kunming Medical University, Kunming, Yunnan, China
| | - Qiqi Yan
- Department of Orthodontics, School of Stomatology, Kunming Medical University, Kunming, Yunnan, China
| | - Yu Qiu
- Department of Orthodontics, School of Stomatology, Kunming Medical University, Kunming, Yunnan, China
| | - Jiangtian Hu
- Department of Orthodontics, School of Stomatology, Kunming Medical University, Kunming, Yunnan, China
| | - Jie Guo
- Shandong Provincial Key Laboratory of Oral Tissue Regeneration, School of Stomatology, Shandong University, Jinan, China.,Department of Orthodontics, School of Stomatology, Shandong University, Jinan, China
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