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Wang S, Larina IV, Larin KV. Label-free optical imaging in developmental biology [Invited]. Biomed Opt Express 2020; 11:2017-2040. [PMID: 32341864 PMCID: PMC7173889 DOI: 10.1364/boe.381359] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/30/2020] [Accepted: 02/25/2020] [Indexed: 05/03/2023]
Abstract
Application of optical imaging in developmental biology marks an exciting frontier in biomedical optics. Optical resolution and imaging depth allow for investigation of growing embryos at subcellular, cellular, and whole organism levels, while the complexity and variety of embryonic processes set multiple challenges stimulating the development of various live dynamic embryonic imaging approaches. Among other optical methods, label-free optical techniques attract an increasing interest as they allow investigation of developmental mechanisms without application of exogenous markers or fluorescent reporters. There has been a boost in development of label-free optical imaging techniques for studying embryonic development in animal models over the last decade, which revealed new information about early development and created new areas for investigation. Here, we review the recent progress in label-free optical embryonic imaging, discuss specific applications, and comment on future developments at the interface of photonics, engineering, and developmental biology.
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Affiliation(s)
- Shang Wang
- Department of Biomedical Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ 07030, USA
| | - Irina V. Larina
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Kirill V. Larin
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
- Department of Biomedical Engineering, University of Houston, 3605 Cullen Boulevard, Houston, TX 77204, USA
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2
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Rieckher M, Kyparissidis-Kokkinidis I, Zacharopoulos A, Kourmoulakis G, Tavernarakis N, Ripoll J, Zacharakis G. A customized light sheet microscope to measure spatio-temporal protein dynamics in small model organisms. PLoS One 2015; 10:e0127869. [PMID: 26000610 DOI: 10.1371/journal.pone.0127869] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Accepted: 04/20/2015] [Indexed: 12/24/2022] Open
Abstract
We describe a customizable and cost-effective light sheet microscopy (LSM) platform for rapid three-dimensional imaging of protein dynamics in small model organisms. The system is designed for high acquisition speeds and enables extended time-lapse in vivo experiments when using fluorescently labeled specimens. We demonstrate the capability of the setup to monitor gene expression and protein localization during ageing and upon starvation stress in longitudinal studies in individual or small groups of adult Caenorhabditis elegans nematodes. The system is equipped to readily perform fluorescence recovery after photobleaching (FRAP), which allows monitoring protein recovery and distribution under low photobleaching conditions. Our imaging platform is designed to easily switch between light sheet microscopy and optical projection tomography (OPT) modalities. The setup permits monitoring of spatio-temporal expression and localization of ageing biomarkers of subcellular size and can be conveniently adapted to image a wide range of small model organisms and tissue samples.
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Wong MD, Dazai J, Walls JR, Gale NW, Henkelman RM. Design and implementation of a custom built optical projection tomography system. PLoS One 2013; 8:e73491. [PMID: 24023880 PMCID: PMC3762719 DOI: 10.1371/journal.pone.0073491] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2013] [Accepted: 07/23/2013] [Indexed: 11/18/2022] Open
Abstract
Optical projection tomography (OPT) is an imaging modality that has, in the last decade, answered numerous biological questions owing to its ability to view gene expression in 3 dimensions (3D) at high resolution for samples up to several cm3. This has increased demand for a cabinet OPT system, especially for mouse embryo phenotyping, for which OPT was primarily designed for. The Medical Research Council (MRC) Technology group (UK) released a commercial OPT system, constructed by Skyscan, called the Bioptonics OPT 3001 scanner that was installed in a limited number of locations. The Bioptonics system has been discontinued and currently there is no commercial OPT system available. Therefore, a few research institutions have built their own OPT system, choosing parts and a design specific to their biological applications. Some of these custom built OPT systems are preferred over the commercial Bioptonics system, as they provide improved performance based on stable translation and rotation stages and up to date CCD cameras coupled with objective lenses of high numerical aperture, increasing the resolution of the images. Here, we present a detailed description of a custom built OPT system that is robust and easy to build and install. Included is a hardware parts list, instructions for assembly, a description of the acquisition software and a free download site, and methods for calibration. The described OPT system can acquire a full 3D data set in 10 minutes at 6.7 micron isotropic resolution. The presented guide will hopefully increase adoption of OPT throughout the research community, for the OPT system described can be implemented by personnel with minimal expertise in optics or engineering who have access to a machine shop.
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Affiliation(s)
- Michael D. Wong
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Mouse Imaging Centre (MICe), Hospital for Sick Children, Toronto, Ontario, Canada
- * E-mail:
| | - Jun Dazai
- Mouse Imaging Centre (MICe), Hospital for Sick Children, Toronto, Ontario, Canada
| | - Johnathon R. Walls
- Regeneron Pharmaceuticals, Tarrytown, New York, United States of America
| | - Nicholas W. Gale
- Regeneron Pharmaceuticals, Tarrytown, New York, United States of America
| | - R. Mark Henkelman
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Mouse Imaging Centre (MICe), Hospital for Sick Children, Toronto, Ontario, Canada
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Cheddad A, Svensson C, Sharpe J, Georgsson F, Ahlgren U. Image processing assisted algorithms for optical projection tomography. IEEE Trans Med Imaging 2012; 31:1-15. [PMID: 21768046 DOI: 10.1109/tmi.2011.2161590] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Since it was first presented in 2002, optical projection tomography (OPT) has emerged as a powerful tool for the study of biomedical specimen on the mm to cm scale. In this paper, we present computational tools to further improve OPT image acquisition and tomographic reconstruction. More specifically, these methods provide: semi-automatic and precise positioning of a sample at the axis of rotation and a fast and robust algorithm for determination of postalignment values throughout the specimen as compared to existing methods. These tools are easily integrated for use with current commercial OPT scanners and should also be possible to implement in "home made" or experimental setups for OPT imaging. They generally contribute to increase acquisition speed and quality of OPT data and thereby significantly simplify and improve a number of three-dimensional and quantitative OPT based assessments.
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Affiliation(s)
- Abbas Cheddad
- Umeå Centre for Molecular Medicine, Umeå University, S-901 87 Umeå, Sweden.
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Rossignol E. Genetics and function of neocortical GABAergic interneurons in neurodevelopmental disorders. Neural Plast 2011; 2011:649325. [PMID: 21876820 DOI: 10.1155/2011/649325] [Citation(s) in RCA: 147] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2011] [Accepted: 05/04/2011] [Indexed: 12/04/2022] Open
Abstract
A dysfunction of cortical and limbic GABAergic circuits has been postulated to contribute to multiple neurodevelopmental disorders in humans, including schizophrenia, autism, and epilepsy. In the current paper, I summarize the characteristics that underlie the great diversity of cortical GABAergic interneurons and explore how the multiple roles of these cells in developing and mature circuits might contribute to the aforementioned disorders. Furthermore, I review the tightly controlled genetic cascades that determine the fate of cortical interneurons and summarize how the dysfunction of genes important for the generation, specification, maturation, and function of cortical interneurons might contribute to these disorders.
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Yi H, Xue L, Guo MX, Ma J, Zeng Y, Wang W, Cai JY, Hu HM, Shu HB, Shi YB, Li WX. Gene expression atlas for human embryogenesis. FASEB J 2010; 24:3341-50. [PMID: 20430792 DOI: 10.1096/fj.10-158782] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Human embryogenesis is believed to involve an integrated set of complex yet coordinated development of different organs and tissues mediated by the changes in the spatiotemporal expression of many genes. Here, we report a genome-wide expression analysis during wk 4-9 of human embryogenesis, a critical period when most organs develop. About half of all human genes are expressed, and 18.6% of the expressed genes were significantly regulated during this important period. We further identified >5000 regulated genes, most of which previously were not known to be associated with animal development. Our study fills an important gap in mammalian developmental studies by identifying functional pathways involved in this critical but previously not studied period. Our study also revealed that the genes involved here are distinct from those during early embryogenesis, which include three groups of maternal genes. Furthermore, we discovered that genes in a given developmental process are regulated coordinately. This led us to develop an easily searchable database of this entire collection of gene expression profiles, allowing for the identification new genes important for a particular developmental process/pathway and deducing the potential function of a novel gene. The validity of the predictions from the database was demonstrated with two examples through spatiotemporal analyses of the two novel genes. Such a database should serve as a highly valuable resource for the molecular analysis of human development and pathogenesis.
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Affiliation(s)
- Hong Yi
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, P.R. China
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Roddy KA, Nowlan NC, Prendergast PJ, Murphy P. 3D representation of the developing chick knee joint: a novel approach integrating multiple components. J Anat 2010; 214:374-87. [PMID: 19245504 DOI: 10.1111/j.1469-7580.2008.01040.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
The knee joint has a highly complex 3-dimensional (3D) morphology that is sculpted at the interface of the forming long bones as they are generated in the embryo. Although it is clear that regulatory genes guide joint formation, the mechanisms that are responsible for morphogenesis of the knee are poorly understood. Certainly the process involves integration across several tissues and physical/mechanical influences from neighbouring tissues are important. We describe the acquisition of shape in the chick knee joint in detail and show that by HH34 the joint already displays shape characteristics of the adult structure. Through imaging developing cartilage, tendons, ligaments and muscle across developmental stages from HH28-34 we have built 3D representations of the forming structure including the various components important in knee formation. We describe the timing of muscle and tendon development in parallel with the refinement of cartilage shape, showing when and where (tendon attachment points) muscle forces are applied to the cartilage elements. Shape begins to emerge as the tendons are forming (HH30-32) but is fully refined (HH34) in the presence of tendons. The resulting integrated 3D representations of the developing knee across time will serve as the foundation for computational analysis of the mechanical environment, and experimental approaches to investigating morphogenetic mechanisms.
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Affiliation(s)
- Karen A Roddy
- Department of Zoology, School of Natural Sciences, Trinity College, Dublin, Ireland
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Papadakis AE, Zacharakis G, Ripoll J, Zacharopoulou F, Maris TG, Damilakis J. Three-dimensional radiation dosimetry with optical projection tomography. ACTA ACUST UNITED AC 2009. [DOI: 10.1088/1742-6596/164/1/012027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Abstract
Microscopic imaging is an important tool for characterizing tissue morphology and pathology. 3D reconstruction and visualization of large sample tissue structure requires registration of large sets of high-resolution images. However, the scale of this problem presents a challenge for automatic registration methods. In this paper we present a novel method for efficient automatic registration using graphics processing units (GPUs) and parallel programming. Comparing a C++ CPU implementation with Compute Unified Device Architecture (CUDA) libraries and pthreads running on GPU we achieve a speed-up factor of up to 4.11× with a single GPU and 6.68× with a GPU pair. We present execution times for a benchmark composed of two sets of large-scale images: mouse placenta (16K × 16K pixels) and breast cancer tumors (23K × 62K pixels). It takes more than 12 hours for the genetic case in C++ to register a typical sample composed of 500 consecutive slides, which was reduced to less than 2 hours using two GPUs, in addition to a very promising scalability for extending those gains easily on a large number of GPUs in a distributed system.
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Affiliation(s)
- Antonio Ruiz
- Computer Architecture Department, Campus Teatinos, University of Malaga, 29071 Malaga, Spain
| | - Manuel Ujaldon
- Computer Architecture Department, Campus Teatinos, University of Malaga, 29071 Malaga, Spain
| | - Lee Cooper
- Biomedical Informatics Department, Ohio State University, 333 West 10th Avenue, Columbus, OH 43210, USA
| | - Kun Huang
- Biomedical Informatics Department, Ohio State University, 333 West 10th Avenue, Columbus, OH 43210, USA
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Bayatti N, Sarma S, Shaw C, Eyre JA, Vouyiouklis DA, Lindsay S, Clowry GJ. Progressive loss of PAX6, TBR2, NEUROD and TBR1 mRNA gradients correlates with translocation of EMX2 to the cortical plate during human cortical development. Eur J Neurosci 2009; 28:1449-56. [PMID: 18973570 PMCID: PMC2675014 DOI: 10.1111/j.1460-9568.2008.06475.x] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The transcription factors Emx2 and Pax6 are expressed in the proliferating zones of the developing rodent neocortex, and gradients of expression interact in specifying caudal and rostral identities. Pax6 is also involved in corticoneurogenesis, being expressed by radial glial progenitors that give rise to cells that also sequentially express Tbr2, NeuroD and Tbr1, genes temporally downstream of Pax6. In this study, using in situ hybridization, we analysed the expression of EMX2, PAX6, TBR2, NEUROD and TBR1 mRNA in the developing human cortex between 8 and 12 postconceptional weeks (PCW). EMX2 mRNA was expressed in the ventricular (VZ) and subventricular zones (SVZ), but also in the cortical plate, unlike in the rodent. However, gradients of expression were similar to that of the rodent at all ages studied. PAX6 mRNA expression was limited to the VZ and SVZ. At 8 PCW, PAX6 was highly expressed rostrally but less so caudally, as has been seen in the rodent, however this gradient disappeared early in corticogenesis, by 9 PCW. There was less restricted compartment-specific expression of TBR2, NEUROD and TBR1 mRNA than in the rodent, where the gradients of expression were similar to that of PAX6 prior to 9 PCW. The gradient disappeared for TBR2 by 10 PCW, and for NEUROD and TBR1 by 12 PCW. These data support recent reports that EMX2 but not PAX6 is more directly involved in arealization, highlighting that analysis of human development allows better spatio-temporal resolution than studies in rodents.
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Affiliation(s)
- Nadhim Bayatti
- Institute of Neuroscience, Newcastle University, Newcastle-upon-Tyne, UK
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Mosaliganti K, Pan T, Ridgway R, Sharp R, Cooper L, Gulacy A, Sharma A, Irfanoglu O, Machiraju R, Kurc T, de Bruin A, Wenzel P, Leone G, Saltz J, Huang K. An imaging workflow for characterizing phenotypical change in large histological mouse model datasets. J Biomed Inform 2008; 41:863-73. [PMID: 18502696 PMCID: PMC2657595 DOI: 10.1016/j.jbi.2008.03.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2007] [Revised: 03/10/2008] [Accepted: 03/16/2008] [Indexed: 11/18/2022]
Abstract
MOTIVATION This paper presents a workflow designed to quantitatively characterize the 3D structural attributes of macroscopic tissue specimens acquired at a micron level resolution using light microscopy. The specific application is a study of the morphological change in a mouse placenta induced by knocking out the retinoblastoma gene. RESULT This workflow includes four major components: (i) serial section image acquisition, (ii) image preprocessing, (iii) image analysis involving 2D pair-wise registration, 2D segmentation and 3D reconstruction, and (iv) visualization and quantification of phenotyping parameters. Several new algorithms have been developed within each workflow component. The results confirm the hypotheses that (i) the volume of labyrinth tissue decreases in mutant mice with the retinoblastoma (Rb) gene knockout and (ii) there is more interdigitation at the surface between the labyrinth and spongiotrophoblast tissues in mutant placenta. Additional confidence stem from agreement in the 3D visualization and the quantitative results generated. AVAILABILITY The source code is available upon request.
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Affiliation(s)
- Kishore Mosaliganti
- Department of Biomedical Informatics, The Ohio State University
- Department of Computer Science and Engineering, The Ohio State University
| | - Tony Pan
- Department of Biomedical Informatics, The Ohio State University
| | - Randall Ridgway
- Department of Computer Science and Engineering, The Ohio State University
| | - Richard Sharp
- Department of Computer Science and Engineering, The Ohio State University
| | - Lee Cooper
- Department of Biomedical Informatics, The Ohio State University
| | - Alex Gulacy
- Department of Biomedical Informatics, The Ohio State University
| | - Ashish Sharma
- Department of Biomedical Informatics, The Ohio State University
| | - Okan Irfanoglu
- Department of Computer Science and Engineering, The Ohio State University
| | - Raghu Machiraju
- Department of Biomedical Informatics, The Ohio State University
- Department of Computer Science and Engineering, The Ohio State University
| | - Tahsin Kurc
- Department of Biomedical Informatics, The Ohio State University
| | - Alain de Bruin
- Department of Human Cancer Genetics, The Ohio State University
| | - Pamela Wenzel
- Department of Human Cancer Genetics, The Ohio State University
| | - Gustavo Leone
- Department of Human Cancer Genetics, The Ohio State University
| | - Joel Saltz
- Department of Biomedical Informatics, The Ohio State University
- Department of Computer Science and Engineering, The Ohio State University
| | - Kun Huang
- Department of Biomedical Informatics, The Ohio State University
- Department of Computer Science and Engineering, The Ohio State University
- The Biomedical Informatics Shared Resources, The Ohio State University
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Hartenstein V, Cardona A, Pereanu W, Younossi-Hartenstein A. Modeling the Developing Drosophila Brain: Rationale, Technique, and Application. Bioscience 2008. [DOI: 10.1641/b580910] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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Darrell A, Meyer H, Marias K, Brady M, Ripoll J. Weighted filtered backprojection for quantitative fluorescence optical projection tomography. Phys Med Biol 2008; 53:3863-81. [DOI: 10.1088/0031-9155/53/14/010] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Lau C, Ng L, Thompson C, Pathak S, Kuan L, Jones A, Hawrylycz M. Exploration and visualization of gene expression with neuroanatomy in the adult mouse brain. BMC Bioinformatics 2008; 9:153. [PMID: 18366675 PMCID: PMC2375125 DOI: 10.1186/1471-2105-9-153] [Citation(s) in RCA: 73] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2007] [Accepted: 03/18/2008] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Spatially mapped large scale gene expression databases enable quantitative comparison of data measurements across genes, anatomy, and phenotype. In most ongoing efforts to study gene expression in the mammalian brain, significant resources are applied to the mapping and visualization of data. This paper describes the implementation and utility of Brain Explorer, a 3D visualization tool for studying in situ hybridization-based (ISH) expression patterns in the Allen Brain Atlas, a genome-wide survey of 21,000 expression patterns in the C57BL\6J adult mouse brain. RESULTS Brain Explorer enables users to visualize gene expression data from the C57Bl/6J mouse brain in 3D at a resolution of 100 microm3, allowing co-display of several experiments as well as 179 reference neuro-anatomical structures. Brain Explorer also allows viewing of the original ISH images referenced from any point in a 3D data set. Anatomic and spatial homology searches can be performed from the application to find data sets with expression in specific structures and with similar expression patterns. This latter feature allows for anatomy independent queries and genome wide expression correlation studies. CONCLUSION These tools offer convenient access to detailed expression information in the adult mouse brain and the ability to perform data mining and visualization of gene expression and neuroanatomy in an integrated manner.
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Abstract
Background The major hindrance to imaging the intact adult Drosophila is that the dark exoskeleton makes it impossible to image through the cuticle. We have overcome this obstacle and describe a method whereby the internal organs of adult Drosophila can be imaged in 3D by bleaching and clearing the adult and then imaging using a technique called optical projection tomography (OPT). The data is displayed as 2D optical sections and also in 3D to provide detail on the shape and structure of the adult anatomy. Methodology We have used OPT to visualize in 2D and 3D the detailed internal anatomy of the intact adult Drosophila. In addition this clearing method used for OPT was tested for imaging with confocal microscopy. Using OPT we have visualized the size and shape of neurodegenerative vacuoles from within the head capsule of flies that suffer from age-related neurodegeneration due to a lack of ADAR mediated RNA-editing. In addition we have visualized tau-lacZ expression in 2D and 3D. This shows that the wholemount adult can be stained without any manipulation and that this stain penetrates well as we have mapped the localization pattern with respect to the internal anatomy. Conclusion We show for the first time that the intact adult Drosophila can be imaged in 3D using OPT, also we show that this method of clearing is also suitable for confocal microscopy to image the brain from within the intact head. The major advantage of this is that organs can be represented in 3D in their natural surroundings. Furthermore optical sections are generated in each of the three planes and are not prone to the technical limitations that are associated with manual sectioning. OPT can be used to dissect mutant phenotypes and to globally map gene expression in both 2D and 3D.
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Affiliation(s)
- Leeanne McGurk
- Medical Research Council Human Genetics Unit, Edinburgh, United Kingdom
| | - Harris Morrison
- Medical Research Council Human Genetics Unit, Edinburgh, United Kingdom
| | - Liam P. Keegan
- Medical Research Council Human Genetics Unit, Edinburgh, United Kingdom
| | - James Sharpe
- Systems Biology Program, Centre de Regulació Genòmica, Barcelona, Spain
| | - Mary A. O'Connell
- Medical Research Council Human Genetics Unit, Edinburgh, United Kingdom
- * To whom correspondence should be addressed. E-mail: Mary.O'
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Abstract
Studies of human embryos and fetuses have highlighted developmental differences between humans and model organisms. In addition to describing the normal biology of our own species, a justification in itself, studies of early human development have aided identification of candidate disease genes mapped by positional cloning strategies, understanding pathophysiology, where human disorders are not faithfully reproduced by models in other species, and, more recently, potential therapies based on human embryonic stem and embryonic germ cells. In this article, we review these applications. We also discuss when and how to study human embryo and early fetuses and some of the regulations of this research.
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Affiliation(s)
- H Ostrer
- Human Genetics Program, Department of Pediatrics, New York University School of Medicine, New York, NY 10016, USA.
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Lee K, Avondo J, Morrison H, Blot L, Stark M, Sharpe J, Bangham A, Coen E. Visualizing plant development and gene expression in three dimensions using optical projection tomography. Plant Cell 2006; 18:2145-56. [PMID: 16905654 PMCID: PMC1560903 DOI: 10.1105/tpc.106.043042] [Citation(s) in RCA: 97] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2006] [Revised: 06/16/2006] [Accepted: 07/21/2006] [Indexed: 05/11/2023]
Abstract
A deeper understanding of the mechanisms that underlie plant growth and development requires quantitative data on three-dimensional (3D) morphology and gene activity at a variety of stages and scales. To address this, we have explored the use of optical projection tomography (OPT) as a method for capturing 3D data from plant specimens. We show that OPT can be conveniently applied to a wide variety of plant material at a range of scales, including seedlings, leaves, flowers, roots, seeds, embryos, and meristems. At the highest resolution, large individual cells can be seen in the context of the surrounding plant structure. For naturally semitransparent structures, such as roots, live 3D imaging using OPT is also possible. 3D domains of gene expression can be visualized using either marker genes, such as beta-glucuronidase, or more directly by whole-mount in situ hybridization. We also describe tools and software that allow the 3D data to be readily quantified and visualized interactively in different ways.
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Affiliation(s)
- Karen Lee
- Department of Cell and Developmental Biology, John Ines Centre, Norwich Research Park, Norwich, NR4 7UH United Kingdom
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Abstract
With the sequence of the mouse genome known, it is now possible to create or identify mutations in every gene to determine the molecules necessary for normal development. Consequently, there is a growing need for advanced phenotyping tools to best understand defects produced by altering gene function. Perhaps nothing is more satisfying than to directly observe a process in action; to disturb it and see for ourselves how the process changes before our very eyes. No doubt, this desire is what drove the invention of the very first microscopes and continues to this day to fuel progress in the field of biological imaging. Because mouse embryos are small and develop embedded within many tissue layers within the nurturing environment of the mother, directly observing the dynamic, micro- and nanoscopic events of early mammalian development has proven to be one of the greater challenges for imaging scientists. Here, I will review some of the imaging methods being used to study mouse development, highlighting the results obtained from imaging.
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Affiliation(s)
- Mary E Dickinson
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, Texas 77030, USA.
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