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Liu P, Mao Z, Zhao Y, Yin J, Chu C, Chen X, Lu J. Hydrogel-Reactive-Microenvironment Powering Reconfiguration of Polymer Architectures. Adv Sci (Weinh) 2024:e2307830. [PMID: 38588016 DOI: 10.1002/advs.202307830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/13/2024] [Indexed: 04/10/2024]
Abstract
Reconfiguration of architected structures has great significance for achieving new topologies and functions of engineering materials. Existing reconfigurable strategies have been reported, including approaches based on heat, mechanical instability, swelling, origami/kirigami designs, and electromagnetic actuation. However, these approaches mainly involve physical interactions between the host materials and the relevant stimuli. Herein, a novel, easy-manipulated, and controllable reconfiguration strategy for polymer architectures is proposed by using a chemical reaction of host material within a hydrogel reactive microenvironment. 3D printed polycaprolactone (PCL) lattices transformed in an aqueous polyacrylamide (PAAm) hydrogel precursor solution, in which ultraviolet (UV) light triggered heterogeneous grafting polymerization between PCL and AAm. In situ microscopy shows that PCL beams go through volumetric expansion and cooperative buckling, resulting in transformation of PCL lattices into sinusoidal patterns. The transformation process can be tuned easily and patterned through the adjustment of the PCL beam diameter, unit cell width, and UV light on-off state. Controlling domain formation is achieved by using UV masks. This framework enables the design, fabrication, and programming of architected materials and inspires the development of novel 4D printing approaches.
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Affiliation(s)
- Pengchao Liu
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China
- CityU-Shenzhen Futian Research Institute, Shenzhen, China
| | - Zhengyi Mao
- CityU-Shenzhen Futian Research Institute, Shenzhen, China
- Centre for Advanced Structural Materials, City University of Hong Kong Shenzhen Research Institute, Greater Bay Joint Division, Shenyang National Laboratory for Materials Science, Shenzhen, China
| | - Yan Zhao
- State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, China
| | - Jian'an Yin
- CityU-Shenzhen Futian Research Institute, Shenzhen, China
| | | | - Xuliang Chen
- CityU-Shenzhen Futian Research Institute, Shenzhen, China
| | - Jian Lu
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China
- CityU-Shenzhen Futian Research Institute, Shenzhen, China
- Centre for Advanced Structural Materials, City University of Hong Kong Shenzhen Research Institute, Greater Bay Joint Division, Shenyang National Laboratory for Materials Science, Shenzhen, China
- Laboratory of Nanomaterials & Nanomechanics, City University of Hong Kong, Hong Kong, China
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Laitman BM, Charytonowicz D, Zhu AJ, Lynch K, Varelas EA, Burton M, Andreou C, Kore P, Kirke DN, Chen YW, Beaumont KG, Sebra R, Genden EM, Courey MS. High-Resolution Profiling of Human Vocal Fold Cellular Landscapes With Single-Nuclei RNA Sequencing. Laryngoscope 2024. [PMID: 38415934 DOI: 10.1002/lary.31334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 12/28/2023] [Accepted: 01/23/2024] [Indexed: 02/29/2024]
Abstract
INTRODUCTION The function of the vocal folds (VFs) is determined by the phenotype, abundance, and distribution of differentiated cells within specific microenvironments. Identifying this histologic framework is crucial in understanding laryngeal disease. A paucity of studies investigating VF cellular heterogeneity has been undertaken. Here, we examined the cellular landscape of human VFs by utilizing single-nuclei RNA-sequencing. METHODS Normal true VF tissue was excised from five patients undergoing pitch elevation surgery. Tissue was snap frozen in liquid nitrogen and subjected to cellular digestion and nuclear extraction. Nuclei were processed for single-nucleus sequencing using the 10X Genomics Chromium platform. Sequencing reads were assembled using cellranger and analyzed with the scanpy package in python. RESULTS RNA sequencing revealed 18 global cell clusters. While many were of epithelial origin, expected cell types, such as fibroblasts, immune cells, muscle cells, and endothelial cells were present. Subcluster analysis defined unique epithelial, immune, and fibroblast subpopulations. CONCLUSION This study evaluated the cellular heterogeneity of normal human VFs by utilizing single-nuclei RNA-sequencing. With further confirmation through additional spatial sequencing and microscopic imaging, a novel cellular map of the VFs may provide insight into new cellular targets for VF disease. LEVEL OF EVIDENCE NA Laryngoscope, 2024.
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Affiliation(s)
- Benjamin M Laitman
- Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | | | - Ashley J Zhu
- Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Katie Lynch
- Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Eleni A Varelas
- Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Madeline Burton
- Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Christina Andreou
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Pragati Kore
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Diana N Kirke
- Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Ya-Wen Chen
- Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Kristin G Beaumont
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Eric M Genden
- Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
| | - Mark S Courey
- Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, U.S.A
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Diao S, Chen P, Showkatian E, Bandyopadhyay R, Rojas FR, Zhu B, Hong L, Aminu M, Saad MB, Salehjahromi M, Muneer A, Sujit SJ, Behrens C, Gibbons DL, Heymach JV, Kalhor N, Wistuba II, Solis Soto LM, Zhang J, Qin W, Wu J. Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis. Cancers (Basel) 2023; 15:4824. [PMID: 37835518 PMCID: PMC10571722 DOI: 10.3390/cancers15194824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 09/24/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
Histopathologic whole-slide images (WSI) are generally considered the gold standard for cancer diagnosis and prognosis. Survival prediction based on WSI has recently attracted substantial attention. Nevertheless, it remains a central challenge owing to the inherent difficulties of predicting patient prognosis and effectively extracting informative survival-specific representations from WSI with highly compounded gigapixels. In this study, we present a fully automated cellular-level dual global fusion pipeline for survival prediction. Specifically, the proposed method first describes the composition of different cell populations on WSI. Then, it generates dimension-reduced WSI-embedded maps, allowing for efficient investigation of the tumor microenvironment. In addition, we introduce a novel dual global fusion network to incorporate global and inter-patch features of cell distribution, which enables the sufficient fusion of different types and locations of cells. We further validate the proposed pipeline using The Cancer Genome Atlas lung adenocarcinoma dataset. Our model achieves a C-index of 0.675 (±0.05) in the five-fold cross-validation setting and surpasses comparable methods. Further, we extensively analyze embedded map features and survival probabilities. These experimental results manifest the potential of our proposed pipeline for applications using WSI in lung adenocarcinoma and other malignancies.
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Affiliation(s)
- Songhui Diao
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Pingjun Chen
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Eman Showkatian
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rukhmini Bandyopadhyay
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Frank R. Rojas
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Bo Zhu
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lingzhi Hong
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Muhammad Aminu
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Maliazurina B. Saad
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Morteza Salehjahromi
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Amgad Muneer
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sheeba J. Sujit
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Carmen Behrens
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Don L. Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - John V. Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Neda Kalhor
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ignacio I. Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Luisa M. Solis Soto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wenjian Qin
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jia Wu
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Wimmer BH, Moraïs S, Zalk R, Mizrahi I, Medalia O. Phylogenetic diversity of core rumen microbiota as described by cryo-ET. Microlife 2023; 4:uqad010. [PMID: 37223726 PMCID: PMC10117717 DOI: 10.1093/femsml/uqad010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 03/22/2023] [Indexed: 05/25/2023]
Abstract
Microbial taxonomy is critical for describing ecosystem composition, yet the link between taxonomy and properties of microbes, such as their cellular architecture, remains poorly defined. We hypothesized that the cellular architecture represents microbial niche adaptation. We used cryo-electron microscopy and tomography to analyze microbial morphology in order to associate cellular architecture with phylogeny and genomic contents. As a model system, we chose the core rumen microbiome and imaged a large isolate collection covering 90% of its richness at the order level. Based on quantifications of several morphological features, we found that the visual similarity of microbiota is significantly related to their phylogenetic distance. Up to the Family level, closely related microbes have similar cellular architectures, which are highly correlated with genome similarity. However, in more distantly related bacteria, the correlation both with taxonomy and genome similarity is lost. This is the first comprehensive study of microbial cellular architecture and our results highlight that structure remains an important parameter in classification of microorganisms, along with functional parameters such as metabolomics. Furthermore, the high-quality images presented in this study represent a reference database for the identification of bacteria in anaerobic ecosystems.
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Affiliation(s)
| | | | - Ran Zalk
- Ilse Katz Institute for Nanoscale Science and Technology, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Itzhak Mizrahi
- Corresponding author. Faculty of Natural Sciences, Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel. Tel: +972 8 647 9836; Fax: +972 8 647 9839; E-mail:
| | - Ohad Medalia
- Corresponding author. Department of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. Tel: +41 44 635 5522; E-mail:
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Wang Z, Cao F, Chen K, Yan Y, Chen Y, Zhang Y, Zhu X, Wei B, Xiong Y, Lv Z. Cellular Structure Fabricated on Ni Wire by a Simple and Cost-Effective Direct-Flame Approach and Its Application in Fiber-Shaped Supercapacitors. ChemSusChem 2018; 11:985-993. [PMID: 29319239 DOI: 10.1002/cssc.201701886] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 01/04/2018] [Indexed: 06/07/2023]
Abstract
Cellular metals with the large surface/volume ratios and excellent electrical conductivity are widely applicable and have thus been studied extensively. It is highly desirable to develop a facile and cost-effective process for fabrication of porous metallic structures, and yet more so for micro/nanoporous structures. A direct-flame strategy is developed for in situ fabrication of micron-scale cellular architecture on a Ni metal precursor. The flame provides the required heat and also serves as a fuel reformer, which provides a gas mixture of H2 , CO, and O2 for redox treatment of metallic Ni. The redox processes at elevated temperatures allow fast reconstruction of the metal, leading to a cellular structure on Ni wire. This process is simple and clean and avoids the use of sacrificial materials or templates. Furthermore, nanocrystalline MnO2 is coated on the microporous Ni wire (MPNW) to form a supercapacitor electrode. The MnO2 /MPNW electrode and the corresponding fiber-shaped supercapacitor exhibit high specific capacitance and excellent cycling stability. Moreover, this work provides a novel strategy for the fabrication of cellular metals and alloys for a variety of applications, including catalysis, energy storage and conversion, and chemical sensing.
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Affiliation(s)
- Zhihong Wang
- Department of Physics, Harbin Institute of Technology, Yikuang Street 2#, Harbin, Heilongjiang, 150001, PR China
| | - Fenhui Cao
- School of Mechatronic Engineering, Daqing Normal University, Daqing, Heilongjiang, 163712, PR China
| | - Kongfa Chen
- College of Materials Science and Engineering, Fuzhou University, Fuzhou, Fujian, 350108, PR China
| | - Yingming Yan
- Department of Physics, Harbin Institute of Technology, Yikuang Street 2#, Harbin, Heilongjiang, 150001, PR China
| | - Yifu Chen
- Department of Physics, Harbin Institute of Technology, Yikuang Street 2#, Harbin, Heilongjiang, 150001, PR China
| | - Yaohui Zhang
- Department of Physics, Harbin Institute of Technology, Yikuang Street 2#, Harbin, Heilongjiang, 150001, PR China
| | - Xingbao Zhu
- Department of Physics, Harbin Institute of Technology, Yikuang Street 2#, Harbin, Heilongjiang, 150001, PR China
| | - Bo Wei
- Department of Physics, Harbin Institute of Technology, Yikuang Street 2#, Harbin, Heilongjiang, 150001, PR China
| | - Yueping Xiong
- MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, PR China
| | - Zhe Lv
- Department of Physics, Harbin Institute of Technology, Yikuang Street 2#, Harbin, Heilongjiang, 150001, PR China
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Gu Z. 0.1 kilopascal difference for mechanophenotyping: soft matrix precisely regulates cellular architecture for invasion. Bioarchitecture 2014; 4:116-8. [PMID: 25029598 DOI: 10.4161/bioa.29175] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Current knowledge understands the mesenchymal cell invasion in a 3D matrix as a combined process of cell-to-matrix adhesion based cell migration and matrix remodeling. Excluding cell invasion stimulated by cytokines and chemokines, the basal cell invasion itself is a complicated process that can be regulated by matrix ligand type, density, geometry, and stiffness, etc. Understanding such a complicated biological process requires delicate dissections into simplified model studies by altering only one or two elements at a time. Past cell motility studies focusing on matrix stiffness have revealed that a stiffer matrix promotes 2D X-Y axis lateral cell motility. Here, we comment on two recent studies that report, instead of stiffer matrix, a softer matrix promotes matrix proteolysis and the formation of invadosome-like protrusions (ILPs) along the 3D Z axis. These studies also reveal that soft matrix precisely regulates such ILPs formation in the stiffness scale range of 0.1 kilopascal in normal cells. In contrast, malignant cells such as cancer cells can form ILPs in response to a much wider range of matrix stiffness. Further, different cancer cells respond to their own favorable range of matrix stiffness to spontaneously form ILPs. Thus, we hereby propose the idea of utilizing the matrix stiffness to precisely regulate ILP formation as a mechanophenotyping tool for cancer metastasis prediction and pathological diagnosis.
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Affiliation(s)
- Zhizhan Gu
- Division of Rheumatology, Immunology, and Allergy; Department of Medicine; Brigham and Women's Hospital; Harvard Medical School; Boston, MA USA
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Rudko DA, Klassen LM, de Chickera SN, Gati JS, Dekaban GA, Menon RS. Origins of R2* orientation dependence in gray and white matter. Proc Natl Acad Sci U S A 2014; 111:E159-67. [PMID: 24374633 DOI: 10.1073/pnas.1306516111] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Estimates of the apparent transverse relaxation rate (R2*) can be used to quantify important properties of biological tissue. Surprisingly, the mechanism of R2* dependence on tissue orientation is not well understood. The primary goal of this paper was to characterize orientation dependence of R2* in gray and white matter and relate it to independent measurements of two other susceptibility based parameters: the local Larmor frequency shift (fL) and quantitative volume magnetic susceptibility (Δχ). Through this comparative analysis we calculated scaling relations quantifying R2' (reversible contribution to the transverse relaxation rate from local field inhomogeneities) in a voxel given measurements of the local Larmor frequency shift. R2' is a measure of both perturber geometry and density and is related to tissue microstructure. Additionally, two methods (the Generalized Lorentzian model and iterative dipole inversion) for calculating Δχ were compared in gray and white matter. The value of Δχ derived from fitting the Generalized Lorentzian model was then connected to the observed R2* orientation dependence using image-registered optical density measurements from histochemical staining. Our results demonstrate that the R2* and fL of white and cortical gray matter are well described by a sinusoidal dependence on the orientation of the tissue and a linear dependence on the volume fraction of myelin in the tissue. In deep brain gray matter structures, where there is no obvious symmetry axis, R2* and fL have no orientation dependence but retain a linear dependence on tissue iron concentration and hence Δχ.
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