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Guo Y, Mi J, Ye C, Ao Y, Shi M, Shan Z, Li B, Chen Z, Chen Z, Vasilev K, Xiao Y. A practical guide to promote informatics-driven efficient biotopographic material development. Bioact Mater 2021; 8:515-528. [PMID: 34541417 PMCID: PMC8433058 DOI: 10.1016/j.bioactmat.2021.06.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/31/2021] [Accepted: 06/10/2021] [Indexed: 01/14/2023] Open
Abstract
Micro/nano topographic structures have shown great utility in many biomedical areas including cell therapies, tissue engineering, and implantable devices. Computer-assisted informatics methods hold great promise for the design of topographic structures with targeted properties for a specific medical application. To benefit from these methods, researchers and engineers require a highly reusable “one structural parameter – one set of cell responses” database. However, existing confounding factors in topographic cell culture devices seriously impede the acquisition of this kind of data. Through carefully dissecting the confounding factors and their possible reasons for emergence, we developed corresponding guideline requirements for topographic cell culture device development to remove or control the influence of such factors. Based on these requirements, we then suggested potential strategies to meet them. In this work, we also experimentally demonstrated a topographic cell culture device with controlled confounding factors based on these guideline requirements and corresponding strategies. A “guideline for the development of topographic cell culture devices” was summarized to instruct researchers to develop topographic cell culture devices with the confounding factors removed or well controlled. This guideline aims to promote the establishment of a highly reusable “one structural parameter – one set of cell responses” database that could facilitate the application of informatics methods, such as artificial intelligence, in the rational design of future biotopographic structures with high efficacy.
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Affiliation(s)
- Yuanlong Guo
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China
| | - Jiaomei Mi
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China
| | - Chen Ye
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China
| | - Yong Ao
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China
| | - Mengru Shi
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China
| | - Zhengjie Shan
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China
| | - Bingzhi Li
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China
| | - Zetao Chen
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China
- Corresponding author.
| | - Zhuofan Chen
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China
| | - Krasimir Vasilev
- Academic Unit of Science, Technology, Engineering and Mathematics (STEM), University of South Australia, Mawson Lakes, SA, 5095, Australia
| | - Yin Xiao
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, 4059, Australia
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2
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Jaeschke A, Harvey NR, Tsurkan M, Werner C, Griffiths LR, Haupt LM, Bray LJ. Techniques for RNA extraction from cells cultured in starPEG-heparin hydrogels. Open Biol 2021; 11:200388. [PMID: 34062095 PMCID: PMC8169204 DOI: 10.1098/rsob.200388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Three-dimensional (3D) cell culture models that provide a biologically relevant microenvironment are imperative to investigate cell–cell and cell–matrix interactions in vitro. Semi-synthetic star-shaped poly(ethylene glycol) (starPEG)–heparin hydrogels are widely used for 3D cell culture due to their highly tuneable biochemical and biomechanical properties. Changes in gene expression levels are commonly used as a measure of cellular responses. However, the isolation of high-quality RNA presents a challenge as contamination of the RNA with hydrogel residue, such as polymer or glycosaminoglycan fragments, can impact template quality and quantity, limiting effective gene expression analyses. Here, we compare two protocols for the extraction of high-quality RNA from starPEG–heparin hydrogels and assess three subsequent purification techniques. Removal of hydrogel residue by centrifugation was found to be essential for obtaining high-quality RNA in both isolation methods. However, purification of the RNA did not result in further improvements in RNA quality. Furthermore, we show the suitability of the extracted RNA for cDNA synthesis of three endogenous control genes confirmed via quantitative polymerase chain reaction (qPCR). The methods and techniques shown can be tailored for other hydrogel models based on natural or semi-synthetic materials to provide robust templates for all gene expression analyses.
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Affiliation(s)
- Anna Jaeschke
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Australia.,School of Mechanical, Medical and Process Engineering, Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Australia
| | - Nicholas R Harvey
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Australia.,Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), Kelvin Grove, Australia
| | - Mikhail Tsurkan
- Leibniz Institute of Polymer Research Dresden, Saxony, Germany
| | - Carsten Werner
- Leibniz Institute of Polymer Research Dresden, Saxony, Germany
| | - Lyn R Griffiths
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Australia.,Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), Kelvin Grove, Australia
| | - Larisa M Haupt
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Australia.,Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), Kelvin Grove, Australia.,ARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology (QUT), Kelvin Grove, Australia
| | - Laura J Bray
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Australia.,ARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology (QUT), Kelvin Grove, Australia.,School of Mechanical, Medical and Process Engineering, Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Australia
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Kim S, Lee SS, Son B, Kim JA, Hwang NS, Park TH. Partially Digested Osteoblast Cell Line-Derived Extracellular Matrix Induces Rapid Mineralization and Osteogenesis. ACS Biomater Sci Eng 2021; 7:1134-1146. [PMID: 33523650 DOI: 10.1021/acsbiomaterials.0c01349] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
An extracellular matrix (ECM) utilized as a biomaterial can be obtained from organs of living organisms. Therefore, it has some limitations in its supply because of insufficient organs. Furthermore, therapeutic efficacy of ECMs varies depending on factors such as donor's health condition and age. For this reason, ECMs obtained from a cell line could be a good alternative because they can be produced under a controlled environment with uniform quality. Thus, the purpose of this study was to investigate the potential of the MC3T3-E1 cell line-derived ECM as bone graft. The optimized decellularization process was developed to separate the ECM from MC3T3-E1, osteoblast cell line, using Trypsin-EDTA and Triton X-100. The decellularized ECM was partially digested using pepsin. Also, human bone marrow-derived mesenchymal stem cells induced faster osteogenesis on the ECM-coated surface than on the collagen-coated surface. Partially digested ECM fragments were embedded on the polyethylene glycol scaffold without additional chemical modification or crosslinking. Micro-computed tomography and histological analysis results showed that the ECM in the scaffold promoted actual bone regeneration after in vivo implantation to a mouse calvarial defect model. This study suggests that the bone-specific ECM derived from the cell line can replace the ECM from organs for application in tissue engineering and regenerative medicine.
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Affiliation(s)
- Seulha Kim
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
| | - Seunghun S Lee
- Interdisciplinary Program in Bioengineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
| | - Boram Son
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
| | - Jeong Ah Kim
- Center for Scientific Instrumentation, Korea Basic Science Institute, Cheongju, Chungbuk 28119, Republic of Korea
| | - Nathaniel S Hwang
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.,Interdisciplinary Program in Bioengineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.,BioMAX/N-Bio Institute, Institute of BioEngineerig, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
| | - Tai Hyun Park
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.,Interdisciplinary Program in Bioengineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.,BioMAX/N-Bio Institute, Institute of BioEngineerig, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
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Farrag M, Abri S, Leipzig ND. pH-dependent RNA isolation from cells encapsulated in chitosan-based biomaterials. Int J Biol Macromol 2020; 146:422-430. [PMID: 31904458 DOI: 10.1016/j.ijbiomac.2019.12.263] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 12/20/2019] [Accepted: 12/30/2019] [Indexed: 02/05/2023]
Abstract
Chitosan has emerged as a useful biomaterial employed in tissue engineering and drug delivery applications due to its tunable and interesting properties. However, chitosan is protonated at biological pH and thus carries positive charges, which renders chitosan incompatible with conventional methods of RNA extraction. RNA extraction is an important step in investigating cell responses and behavior through studying their gene expression transcriptional profiles. While some researchers have tried different techniques to improve the yield and purity of RNA extracted from cells encapsulated in chitosan-based biomaterials, no single study has investigated the effects of manipulating pH of the homogenate during RNA extraction on the yield and quality of total RNA. This study confirms the release and binding of RNA from chitosan to be pH dependent while analyzing the impact of pH changes during the tissue disruption and homogenization step of extraction on the resulting yield and quality of isolated RNA. This concept was applied to three commonly used methods of RNA extraction, using adult neural stem/progenitor cells (aNSPCs) encapsulated within methacrylamide chitosan (MAC) as a model chitosan-based bioscaffold. High pH conditions resulted in high yields with good quality using both TRIzol and CTAB. pH of the homogenate did not affect RNeasy spin columns, which worked best in neutral conditions with good quality, however, the overall yield was low. Results in total show that pH affected RNA interaction with a chitosan-based bioscaffold, and thus altered the concentration, purity, and integrity of isolated RNA, dependent on the method used.
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Affiliation(s)
- Mahmoud Farrag
- Integrated Bioscience Program, the University of Akron, Akron, OH, USA.
| | - Shahrzad Abri
- Department of Chemical, Biomolecular, and Corrosion Engineering, the University of Akron, Akron, OH, USA
| | - Nic D Leipzig
- Integrated Bioscience Program, the University of Akron, Akron, OH, USA; Department of Chemical, Biomolecular, and Corrosion Engineering, the University of Akron, Akron, OH, USA.
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RNA extraction from self-assembling peptide hydrogels to allow qPCR analysis of encapsulated cells. PLoS One 2018; 13:e0197517. [PMID: 29864116 PMCID: PMC5986125 DOI: 10.1371/journal.pone.0197517] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 05/03/2018] [Indexed: 12/21/2022] Open
Abstract
Self-assembling peptide hydrogels offer a novel 3-dimensional platform for many applications in cell culture and tissue engineering but are not compatible with current methods of RNA isolation; owing to interactions between RNA and the biomaterial. This study investigates the use of two techniques based on two different basic extraction principles: solution-based extraction and direct solid-state binding of RNA respectively, to extract RNA from cells encapsulated in four β-sheet forming self-assembling peptide hydrogels with varying net positive charge. RNA-peptide fibril interactions, rather than RNA-peptide molecular complexing, were found to interfere with the extraction process resulting in low yields. A column-based approach relying on RNA-specific binding was shown to be more suited to extracting RNA with higher purity from these peptide hydrogels owing to its reliance on strong specific RNA binding interactions which compete directly with RNA-peptide fibril interactions. In order to reduce the amount of fibrils present and improve RNA yields a broad spectrum enzyme solution-pronase-was used to partially digest the hydrogels before RNA extraction. This pre-treatment was shown to significantly increase the yield of RNA extracted, allowing downstream RT-qPCR to be performed.
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Guerra AD, Rose WE, Hematti P, Kao WJ. Minocycline enhances the mesenchymal stromal/stem cell pro-healing phenotype in triple antimicrobial-loaded hydrogels. Acta Biomater 2017; 51:184-196. [PMID: 28069512 DOI: 10.1016/j.actbio.2017.01.021] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 01/04/2017] [Accepted: 01/05/2017] [Indexed: 01/12/2023]
Abstract
Mesenchymal stromal/stem cells (MSCs) have demonstrated pro-healing properties including an anti-inflammatory cytokine profile and the promotion of angiogenesis via expression of growth factors in pre-clinical models. MSCs encapsulated in poly(ethylene glycol) diacrylate (PEGdA) and thiolated gelatin poly(ethylene glycol) (Gel-PEG-Cys) crosslinked hydrogels have led to controlled cellular presentation at wound sites with favorable wound healing outcomes. However, the therapeutic potential of MSC-loaded hydrogels may be limited by non-specific protein adsorption on the delivery matrix that could facilitate the initial adhesion of microorganisms and subsequent virulent biofilm formation. Antimicrobials loaded concurrently in the hydrogels with MSCs could reduce microbial bioburden and promote healing, but the antimicrobial effect on the MSC wound healing capacity and the antibacterial efficacy of the hydrogels is unknown. We demonstrate that minocycline specifically induces a favorable change in MSC migration capacity, proliferation, gene expression, extracellular matrix (ECM) attachment, and adhesion molecule and growth factor release with subsequent increased angiogenesis. We then demonstrate that hydrogels loaded with MSCs, minocycline, vancomycin, and linezolid can significantly decrease bacterial bioburden. Our study suggests that minocycline can serve as a dual mechanism for the regenerative capacity of MSCs and the reduction of bioburden in triple antimicrobial-loaded hydrogels. STATEMENT OF SIGNIFICANCE Wound healing is a complex biological process that can be hindered by bacterial infection, excessive inflammation, and inadequate microvasculature. In this study, we develop a new formulation of poly(ethylene glycol) diacrylate and thiolated gelatin poly(ethylene glycol) crosslinked hydrogels loaded with minocycline, vancomycin, linezolid, and mesenchymal stromal/stem cells that induces a favorable wound healing phenotype in mesenchymal stromal/stem cells and prevents bacterial bioburden on the hydrogel. This combinatorial approach to biomaterial development has the potential to impact wound healing for contaminated full thickness cutaneous wounds.
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Affiliation(s)
- Alberto Daniel Guerra
- School of Pharmacy, Division of Pharmaceutical Sciences, Pharmacy Practice Division, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA.
| | - Warren E Rose
- School of Pharmacy, Division of Pharmaceutical Sciences, Pharmacy Practice Division, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA.
| | - Peiman Hematti
- School of Medicine and Public Health, Department of Medicine, Wisconsin Carbone Cancer Center, University of Wisconsin-Madison, 1685 Highland Avenue, Madison, WI 53705, USA.
| | - W John Kao
- School of Pharmacy, Division of Pharmaceutical Sciences, Pharmacy Practice Division, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA; College of Engineering, Department of Biomedical Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706, USA; School of Medicine and Public Health, Department of Surgery, University of Wisconsin-Madison, 1685 Highland Avenue, Madison, WI 53705, USA.
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7
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Nwokeoji AO, Kilby PM, Portwood DE, Dickman MJ. RNASwift: A rapid, versatile RNA extraction method free from phenol and chloroform. Anal Biochem 2016; 512:36-46. [DOI: 10.1016/j.ab.2016.08.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Revised: 07/29/2016] [Accepted: 08/01/2016] [Indexed: 12/11/2022]
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Clevenger TN, Luna G, Boctor D, Fisher SK, Clegg DO. Cell-mediated remodeling of biomimetic encapsulating hydrogels triggered by adipogenic differentiation of adipose stem cells. J Tissue Eng 2016; 7:2041731416670482. [PMID: 27733898 PMCID: PMC5040235 DOI: 10.1177/2041731416670482] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Accepted: 08/31/2016] [Indexed: 01/18/2023] Open
Abstract
One of the most common regenerative therapies is autologous fat grafting, which frequently suffers from unexpected volume loss. One approach is to deliver adipose stem cells encapsulated in the engineered hydrogels supportive of cell survival, differentiation, and integration after transplant. We describe an encapsulating, biomimetic poly(ethylene)-glycol hydrogel, with embedded peptides for attachment and biodegradation. Poly(ethylene)-glycol hydrogels containing an Arg–Gly–Asp attachment sequence and a matrix metalloprotease 3/10 cleavage site supported adipose stem cell survival and showed remodeling initiated by adipogenic differentiation. Arg–Gly–Asp–matrix metalloprotease 3/10 cleavage site hydrogels showed an increased number and area of lacunae or holes after adipose stem cell differentiation. Image analysis of adipose stem cells in Arg–Gly–Asp–matrix metalloprotease 3/10 cleavage site hydrogels showed larger Voronoi domains, while cell density remained unchanged. The differentiated adipocytes residing within these newly remodeled spaces express proteins and messenger RNAs indicative of adipocytic differentiation. These engineered scaffolds may provide niches for stem cell differentiation and could prove useful in soft tissue regeneration.
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Affiliation(s)
- Tracy N Clevenger
- Center for Stem Cell Biology and Engineering, University of California, Santa Barbara, CA, USA; Neuroscience Research Institute, University of California, Santa Barbara, CA, USA; Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Gabriel Luna
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA; Center for Bio-Image Informatics, University of California, Santa Barbara, CA, USA
| | - Daniel Boctor
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Steven K Fisher
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA; Center for Bio-Image Informatics, University of California, Santa Barbara, CA, USA
| | - Dennis O Clegg
- Center for Stem Cell Biology and Engineering, University of California, Santa Barbara, CA, USA; Neuroscience Research Institute, University of California, Santa Barbara, CA, USA; Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
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