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Xie DF, Crouzet C, LoPresti K, Wang Y, Robinson C, Jones W, Muqolli F, Fang C, Cribbs DH, Fisher M, Choi B. Semi-automated protocol to quantify and characterize fluorescent three-dimensional vascular images. PLoS One 2024; 19:e0289109. [PMID: 38753706 PMCID: PMC11098357 DOI: 10.1371/journal.pone.0289109] [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: 08/30/2022] [Accepted: 07/11/2023] [Indexed: 05/18/2024] Open
Abstract
The microvasculature facilitates gas exchange, provides nutrients to cells, and regulates blood flow in response to stimuli. Vascular abnormalities are an indicator of pathology for various conditions, such as compromised vessel integrity in small vessel disease and angiogenesis in tumors. Traditional immunohistochemistry enables the visualization of tissue cross-sections containing exogenously labeled vasculature. Although this approach can be utilized to quantify vascular changes within small fields of view, it is not a practical way to study the vasculature on the scale of whole organs. Three-dimensional (3D) imaging presents a more appropriate method to visualize the vascular architecture in tissue. Here we describe the complete protocol that we use to characterize the vasculature of different organs in mice encompassing the methods to fluorescently label vessels, optically clear tissue, collect 3D vascular images, and quantify these vascular images with a semi-automated approach. To validate the automated segmentation of vascular images, one user manually segmented one hundred random regions of interest across different vascular images. The automated segmentation results had an average sensitivity of 83±11% and an average specificity of 91±6% when compared to manual segmentation. Applying this procedure of image analysis presents a method to reliably quantify and characterize vascular networks in a timely fashion. This procedure is also applicable to other methods of tissue clearing and vascular labels that generate 3D images of microvasculature.
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Affiliation(s)
- Danny F. Xie
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - Christian Crouzet
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - Krystal LoPresti
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - Yuke Wang
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - Christopher Robinson
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
| | - William Jones
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
| | - Fjolla Muqolli
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
| | - Chuo Fang
- Department of Neurology, University of California-Irvine, Irvine, CA, United States of America
| | - David H. Cribbs
- Institute for Memory Impairments and Neurological Disorders, University of California-Irvine, Irvine, CA, United States of America
| | - Mark Fisher
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Neurology, University of California-Irvine, Irvine, CA, United States of America
- Institute for Memory Impairments and Neurological Disorders, University of California-Irvine, Irvine, CA, United States of America
- Department of Pathology & Laboratory Medicine, University of California-Irvine, Irvine, CA, United States of America
| | - Bernard Choi
- Beckman Laser Institute and Medical Clinic, University of California-Irvine, Irvine, CA, United States of America
- Department of Biomedical Engineering, University of California-Irvine, Irvine, CA, United States of America
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2
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Li P, Liu Z. Glycan-specific molecularly imprinted polymers towards cancer diagnostics: merits, applications, and future perspectives. Chem Soc Rev 2024; 53:1870-1891. [PMID: 38223993 DOI: 10.1039/d3cs00842h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
Aberrant glycans are a hallmark of cancer states. Notably, emerging evidence has demonstrated that the diagnosis of cancers with tumour-specific glycan patterns holds great potential to address unmet medical needs, especially in improving diagnostic sensitivity and selectivity. However, despite vast glycans having been identified as potent markers, glycan-based diagnostic methods remain largely limited in clinical practice. There are several reasons that prevent them from reaching the market, and the lack of anti-glycan antibodies is one of the most challenging hurdles. With the increasing need for accelerating the translational process, numerous efforts have been made to find antibody alternatives, such as lectins, boronic acids and aptamers. However, issues concerning affinity, selectivity, stability and versatility are yet to be fully addressed. Molecularly imprinted polymers (MIPs), synthetic antibody mimics with tailored cavities for target molecules, hold the potential to revolutionize this dismal progress. MIPs can bind a wide range of glycan markers, even those without specific antibodies. This capacity effectively broadens the clinical applicability of glycan-based diagnostics. Additionally, glycoform-resolved diagnosis can also be achieved through customization of MIPs, allowing for more precise diagnostic applications. In this review, we intent to introduce the current status of glycans as potential biomarkers and critically evaluate the challenges that hinder the development of in vitro diagnostic assays, with a particular focus on glycan-specific recognition entities. Moreover, we highlight the key role of MIPs in this area and provide examples of their successful use. Finally, we conclude the review with the remaining challenges, future outlook, and emerging opportunities.
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Affiliation(s)
- Pengfei Li
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, Jiangsu, China.
| | - Zhen Liu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, Jiangsu, China.
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Malkovskiy AV, Tom A, Joubert LM, Bao Z. Visualization of the distribution of covalently cross-linked hydrogels in CLARITY brain-polymer hybrids for different monomer concentrations. Sci Rep 2022; 12:13549. [PMID: 35941350 PMCID: PMC9360022 DOI: 10.1038/s41598-022-17687-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/29/2022] [Indexed: 11/09/2022] Open
Abstract
CLARITY is a tissue preservation and optical clearing technique whereby a hydrogel is formed directly within the architectural confines of ex vivo brain tissue. In this work, the extent of polymer gel formation and crosslinking within tissue was assessed using Raman spectroscopy and rheology on CLARITY samples prepared with a range of acrylamide monomer (AAm) concentrations (1%, 4%, 8%, 12% w/v). Raman spectroscopy of individual neurons within hybrids revealed the chemical presence and distribution of polyacrylamide within the mouse hippocampus. Consistent with rheological measurements, lower %AAm concentration decreased shear elastic modulus G', providing a practical correlation with sample permeability and protein retention. Permeability of F(ab)'2 secondary fluorescent antibody changes from 9.3 to 1.4 µm2 s-1 going from 1 to 12%. Notably, protein retention increased linearly relative to standard PFA-fixed tissue from 96.6% when AAm concentration exceeded 1%, with 12% AAm samples retaining up to ~ 99.3% native protein. This suggests that though 1% AAm offers high permeability, additional %AAm may be required to enhance protein. Our quantitative results on polymer distribution, stability, protein retention, and macromolecule permeability can be used to guide the design of future CLARITY-based tissue-clearing solutions, and establish protocols for characterization of novel tissue-polymer hybrid biomaterials using chemical spectroscopy and rheology.
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Affiliation(s)
| | - Ariane Tom
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Lydia-Marie Joubert
- Cell Sciences Imaging Facility (CSIF), Stanford University, Stanford, CA, 94305, USA
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, CA, 94305, USA.
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Zhu J, Liu X, Deng Y, Li D, Yu T, Zhu D. Tissue optical clearing for 3D visualization of vascular networks: A review. Vascul Pharmacol 2021; 141:106905. [PMID: 34506969 DOI: 10.1016/j.vph.2021.106905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 08/31/2021] [Accepted: 09/02/2021] [Indexed: 12/01/2022]
Abstract
Reconstruction of the vasculature of intact tissues/organs down to the capillary level is essential for understanding the development and remodeling of vascular networks under physiological and pathological conditions. Optical imaging techniques can provide sufficient resolution to distinguish small vessels with several microns, but the imaging depth is somewhat limited due to the high light scattering of opaque tissue. Recently, various tissue optical clearing methods have been developed to overcome light attenuation and improve the imaging depth both for ex-vivo and in-vivo visualizations. Tissue clearing combined with vessel labeling techniques and advanced optical tomography enables successful mapping of the vasculature of different tissues/organs, as well as dynamically monitoring vessel function under normal and pathological conditions. Here, we briefly introduce the commonly-used labeling strategies for entire vascular networks, the current tissue optical clearing techniques available for various tissues, as well as the advanced optical imaging techniques for fast, high-resolution structural and functional imaging for blood vessels. We also discuss the applications of these techniques in the 3D visualization of vascular networks in normal tissues, and the vascular remodeling in several typical pathological models in clinical research. This review is expected to provide valuable insights for researchers to study the potential mechanisms of various vessel-associated diseases using tissue optical clearing pipeline.
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Affiliation(s)
- Jingtan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Xiaomei Liu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Yating Deng
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Dongyu Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Tingting Yu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
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Kumar V, Krolewski DM, Hebda-Bauer EK, Parsegian A, Martin B, Foltz M, Akil H, Watson SJ. Optimization and evaluation of fluorescence in situ hybridization chain reaction in cleared fresh-frozen brain tissues. Brain Struct Funct 2021; 226:481-499. [PMID: 33386994 DOI: 10.1007/s00429-020-02194-4] [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] [Received: 08/13/2019] [Accepted: 11/27/2020] [Indexed: 11/27/2022]
Abstract
Transcript labeling in intact tissues using in situ hybridization chain reaction has potential to provide vital spatiotemporal information for molecular characterization of heterogeneous neuronal populations. However, large tissue labeling in non-perfused or fresh-frozen rodent and postmortem human samples, which provide more flexible utilization than perfused tissues, is largely unexplored. In the present study, we optimized the combination of in situ hybridization chain reaction in fresh-frozen rodent brains and then evaluated the uniformity of neuronal labeling between two clearing methods, CLARITY and iDISCO+. We found that CLARITY yielded higher signal-to-noise ratios but more limited imaging depth and required longer clearing times, whereas, iDISCO+ resulted in better tissue clearing, greater imaging depth and a more uniform labeling of larger samples. Based on these results, we used iDISCO+-cleared fresh-frozen rodent brains to further validate this combination and map the expression of a few genes of interest pertaining to mood disorders. We then examined the potential of in situ hybridization chain reaction to label transcripts in cleared postmortem human brain tissues. The combination failed to produce adequate mRNA labeling in postmortem human cortical slices but produced visually adequate labeling in the cerebellum tissues. We next, investigated the multiplexing ability of in situ hybridization chain reaction in cleared tissues which revealed inconsistent fluorescence output depending upon the fluorophore conjugated to the hairpins. Finally, we applied our optimized protocol to assess the effect of glucocorticoid receptor overexpression on basal somatostatin expression in the mouse cortex. The constitutive glucocorticoid receptor overexpression resulted in lower number density of somatostatin-expressing neurons compared to wild type. Overall, the combination of in situ hybridization chain reaction with clearing methods, especially iDISCO+, may find broad application in the transcript analysis in rodent studies, but its limited use in postmortem human tissues can be improved by further optimizations.
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Affiliation(s)
- Vivek Kumar
- Michigan Neuroscience Institute, University of Michigan, 205 Zina Pitcher pl, Ann Arbor, MI, 48109, USA.
| | - David M Krolewski
- Michigan Neuroscience Institute, University of Michigan, 205 Zina Pitcher pl, Ann Arbor, MI, 48109, USA
| | - Elaine K Hebda-Bauer
- Michigan Neuroscience Institute, University of Michigan, 205 Zina Pitcher pl, Ann Arbor, MI, 48109, USA
| | - Aram Parsegian
- Michigan Neuroscience Institute, University of Michigan, 205 Zina Pitcher pl, Ann Arbor, MI, 48109, USA
| | - Brian Martin
- Michigan Neuroscience Institute, University of Michigan, 205 Zina Pitcher pl, Ann Arbor, MI, 48109, USA
| | - Matthew Foltz
- Michigan Neuroscience Institute, University of Michigan, 205 Zina Pitcher pl, Ann Arbor, MI, 48109, USA
| | - Huda Akil
- Michigan Neuroscience Institute, University of Michigan, 205 Zina Pitcher pl, Ann Arbor, MI, 48109, USA
| | - Stanley J Watson
- Michigan Neuroscience Institute, University of Michigan, 205 Zina Pitcher pl, Ann Arbor, MI, 48109, USA
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Charlton JR, Xu Y, Wu T, deRonde KA, Hughes JL, Dutta S, Oxley GT, Cwiek A, Cathro HP, Charlton NP, Conaway MR, Baldelomar EJ, Parvin N, Bennett KM. Magnetic resonance imaging accurately tracks kidney pathology and heterogeneity in the transition from acute kidney injury to chronic kidney disease. Kidney Int 2020; 99:173-185. [PMID: 32916180 DOI: 10.1016/j.kint.2020.08.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 08/07/2020] [Accepted: 08/20/2020] [Indexed: 01/09/2023]
Abstract
Acute kidney injury (AKI) increases the risk for chronic kidney disease (CKD). However, there are few tools to detect microstructural changes after AKI. Here, cationic ferritin-enhanced magnetic resonance imaging (CFE-MRI) was applied to examine the heterogeneity of kidney pathology in the transition from AKI to CKD. Adult male mice received folic acid followed by cationic ferritin and were euthanized at four days (AKI), four weeks (CKD-4) or 12 weeks (CKD-12). Kidneys were examined by histologic methods and CFE-MRI. In the CKD-4 and CKD-12 groups, glomerular number was reduced and atubular cortical lesions were observed. Apparent glomerular volume was larger in the AKI, CKD-4 and CKD-12 groups compared to controls. Glomerular hypertrophy occurred with ageing. Interglomerular distance and glomerular density were combined with other MRI metrics to distinguish the AKI and CKD groups from controls. Despite significant heterogeneity, the noninvasive (MRI-based) metrics were as accurate as invasive (histological) metrics at distinguishing AKI and CKD from controls. To assess the toxicity of cationic ferritin in a CKD model, CKD-4 mice received cationic ferritin and were examined one week later. The CKD-4 groups with and without cationic ferritin were similar, except the iron content of the kidney, liver, and spleen was greater in the CKD-4 plus cationic ferritin group. Thus, our study demonstrates the accuracy and safety of CFE-MRI to detect whole kidney pathology allowing for the development of novel biomarkers of kidney disease and providing a foundation for future in vivo longitudinal studies in mouse models of AKI and CKD to track nephron fate.
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Affiliation(s)
- Jennifer R Charlton
- Department of Pediatrics, Division Nephrology, University of Virginia, Charlottesville, Virginia, USA.
| | - Yanzhe Xu
- ASU-Mayo Center for Innovative Imaging, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona, USA
| | - Teresa Wu
- ASU-Mayo Center for Innovative Imaging, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona, USA
| | - Kim A deRonde
- Department of Pediatrics, Division Nephrology, University of Virginia, Charlottesville, Virginia, USA
| | | | - Shourik Dutta
- School of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Gavin T Oxley
- University of Virginia, Charlottesville, Virginia, USA
| | | | - Helen P Cathro
- Department of Pathology University of Virginia, Charlottesville, Virginia, USA
| | - Nathan P Charlton
- Department of Toxicology, University of Virginia, Virginia, Charlottesville, USA
| | - Mark R Conaway
- Division of Translational Research and Applied Statistics Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Edwin J Baldelomar
- Department of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Neda Parvin
- Department of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Kevin M Bennett
- Department of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
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Gradinaru V, Treweek J, Overton K, Deisseroth K. Hydrogel-Tissue Chemistry: Principles and Applications. Annu Rev Biophys 2019; 47:355-376. [PMID: 29792820 PMCID: PMC6359929 DOI: 10.1146/annurev-biophys-070317-032905] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Over the past five years, a rapidly developing experimental approach has enabled high-resolution and high-content information retrieval from intact multicellular animal (metazoan) systems. New chemical and physical forms are created in the hydrogel-tissue chemistry process, and the retention and retrieval of crucial phenotypic information regarding constituent cells and molecules (and their joint interrelationships) are thereby enabled. For example, rich data sets defining both single-cell-resolution gene expression and single-cell-resolution activity during behavior can now be collected while still preserving information on three-dimensional positioning and/or brain-wide wiring of those very same neurons-even within vertebrate brains. This new approach and its variants, as applied to neuroscience, are beginning to illuminate the fundamental cellular and chemical representations of sensation, cognition, and action. More generally, reimagining metazoans as metareactants-or positionally defined three-dimensional graphs of constituent chemicals made available for ongoing functionalization, transformation, and readout-is stimulating innovation across biology and medicine.
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Affiliation(s)
- Viviana Gradinaru
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Jennifer Treweek
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Kristin Overton
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA;
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA; .,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305, USA.,H oward Hughes Medical Institute, Stanford University, Stanford, California 94305, USA
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8
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Three-dimensional imaging and quantitative analysis in CLARITY processed breast cancer tissues. Sci Rep 2019; 9:5624. [PMID: 30948791 PMCID: PMC6449377 DOI: 10.1038/s41598-019-41957-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 03/18/2019] [Indexed: 02/07/2023] Open
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