Bone CLARITY: Clearing, imaging, and computational analysis of osteoprogenitors within intact bone marrow

Bone clearing and light-sheet microscopy enables visualization and quantification of fluorescent single cells in intact bone. Peeking in on osteoprogenitors The eyes may be the windows to the soul, but a window into the bone—specifically bone marrow—would be useful for studying bone development and disease. Greenbaum et al. developed a method of whole-bone optical clearing, using a series of reagents under continuous flow to delipidate and decalcify bone tissue. This process renders the entire bone transparent but does not affect endogenous fluorescence, making this compatible with reporter mice. Using light sheet fluorescence microscopy, the authors counted and mapped the number of fluorescently labeled osteoprogenitors within cleared mouse tibia, vertebral column, and femur bones treated with sclerostin antibody. With reduced variability compared to standard section analysis, this Bone CLARITY and computational analysis will be a useful tool for bone research. Bone tissue harbors unique and essential physiological processes, such as hematopoiesis, bone growth, and bone remodeling. To enable visualization of these processes at the cellular level in an intact environment, we developed “Bone CLARITY,” a bone tissue clearing method. We used Bone CLARITY and a custom-built light-sheet fluorescence microscope to detect the endogenous fluorescence of Sox9-tdTomato+ osteoprogenitor cells in the tibia, femur, and vertebral column of adult transgenic mice. To obtain a complete distribution map of these osteoprogenitor cells, we developed a computational pipeline that semiautomatically detects individual Sox9-tdTomato+ cells in their native three-dimensional environment. Our computational method counted all labeled osteoprogenitor cells without relying on sampling techniques and displayed increased precision when compared with traditional stereology techniques for estimating the total number of these rare cells. We demonstrate the value of the clearing-imaging pipeline by quantifying changes in the population of Sox9-tdTomato–labeled osteoprogenitor cells after sclerostin antibody treatment. Bone tissue clearing is able to provide fast and comprehensive visualization of biological processes in intact bone tissue.

[1]  H J Gundersen,et al.  The efficiency of systematic sampling in stereology and its prediction * , 1987, Journal of microscopy.

[2]  J. Deng,et al.  Sox9‐expressing precursors are the cellular origin of the cruciate ligament of the knee joint and the limb tendons , 2010, Genesis.

[3]  K. Deisseroth,et al.  Advanced CLARITY for rapid and high-resolution imaging of intact tissues , 2014, Nature Protocols.

[4]  Valery V. Tuchin,et al.  Optical Clearing of Cranial Bone , 2008 .

[5]  S. Pacini,et al.  Commentary: Structural and functional features of central nervous system lymphatic vessels , 2015, Front. Neurosci..

[6]  M. Ochs,et al.  A review of recent developments and applications of morphometry/stereology in lung research. , 2015, American journal of physiology. Lung cellular and molecular physiology.

[7]  P. Dineen,et al.  Now and in the future. , 1970, AORN journal.

[8]  Rajan P Kulkarni,et al.  Single-Cell Phenotyping within Transparent Intact Tissue through Whole-Body Clearing , 2014, Cell.

[9]  T M Keaveny,et al.  Three-dimensional imaging of trabecular bone using the computer numerically controlled milling technique. , 1997, Bone.

[10]  Konrad Sandau,et al.  Unbiased Stereology. Three‐Dimensional Measurement in Microscopy. , 1999 .

[11]  Dimitri Perrin,et al.  Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging , 2015, Nature Protocols.

[12]  S. Khosla,et al.  Emerging therapeutic opportunities for skeletal restoration , 2011, Nature Reviews Drug Discovery.

[13]  Yudong D. He,et al.  Time-dependent cellular and transcriptional changes in the osteoblast lineage associated with sclerostin antibody treatment in ovariectomized rats. , 2016, Bone.

[14]  Florent Elefteriou,et al.  Genetic mouse models for bone studies--strengths and limitations. , 2011, Bone.

[15]  Giulio Iannello,et al.  TeraStitcher - A tool for fast automatic 3D-stitching of teravoxel-sized microscopy images , 2012, BMC Bioinformatics.

[16]  A. Schierloh,et al.  Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain , 2007, Nature Methods.

[17]  S. Morrison,et al.  The bone marrow niche for haematopoietic stem cells , 2014, Nature.

[18]  Nathan C Shaner,et al.  A guide to choosing fluorescent proteins , 2005, Nature Methods.

[19]  Timothy J Keyes,et al.  Structural and functional features of central nervous system lymphatics , 2015, Nature.

[20]  Michael Detmar,et al.  A dural lymphatic vascular system that drains brain interstitial fluid and macromolecules , 2015 .

[21]  W. Horton,et al.  Advances in treatment of achondroplasia and osteoarthritis. , 2016, Human molecular genetics.

[22]  Dimitri Perrin,et al.  Whole-Body Imaging with Single-Cell Resolution by Tissue Decolorization , 2014, Cell.

[23]  Christopher Price,et al.  Seeing through Musculoskeletal Tissues: Improving In Situ Imaging of Bone and the Lacunar Canalicular System through Optical Clearing , 2016, PloS one.

[24]  Craig R. Slyfield,et al.  Three‐dimensional dynamic bone histomorphometry , 2012, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[25]  D. Dempster Osteoporosis and the burden of osteoporosis-related fractures. , 2011, The American journal of managed care.

[26]  Aaron S. Andalman,et al.  Structural and molecular interrogation of intact biological systems , 2013, Nature.

[27]  T. Rachner,et al.  Osteoporosis: now and the future , 2011, The Lancet.

[28]  Hiroki R Ueda,et al.  Whole-body and Whole-Organ Clearing and Imaging Techniques with Single-Cell Resolution: Toward Organism-Level Systems Biology in Mammals. , 2016, Cell chemical biology.

[29]  N. Plesnila,et al.  Shrinkage-mediated imaging of entire organs and organisms using uDISCO , 2016, Nature Methods.

[30]  Pavel Tomancak,et al.  Guide to light-sheet microscopy for adventurous biologists , 2014, Nature Methods.

[31]  H. Gundersen,et al.  The efficiency of systematic sampling in stereology — reconsidered , 1999, Journal of microscopy.

[32]  Viviana Gradinaru,et al.  Single-molecule RNA detection at depth by hybridization chain reaction and tissue hydrogel embedding and clearing , 2016, Development.

[33]  Jeff W. Lichtman,et al.  Clarifying Tissue Clearing , 2015, Cell.

[34]  P. Bianco,et al.  Skeletal stem cells , 2015, Development.

[35]  Corey P. Neu,et al.  Optical Clearing in Dense Connective Tissues to Visualize Cellular Connectivity In Situ , 2015, PloS one.

[36]  Ulrich Kubitscheck,et al.  Scanned light sheet microscopy with confocal slit detection. , 2012, Optics Express.

[37]  Artifacts of light , 2013, Nature Methods.

[38]  C P Neu,et al.  Optical clearing in collagen- and proteoglycan-rich osteochondral tissues. , 2015, Osteoarthritis and cartilage.

[39]  H. J. G. Gundersen,et al.  The new stereological tools: Disector, fractionator, nucleator and point sampled intercepts and their use in pathological research and diagnosis , 1988, APMIS : acta pathologica, microbiologica, et immunologica Scandinavica.

[40]  Fanxin Long,et al.  Building strong bones: molecular regulation of the osteoblast lineage , 2011, Nature Reviews Molecular Cell Biology.

[41]  Charless C. Fowlkes,et al.  Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping , 2015, Nature Protocols.

[42]  Frank Bradke,et al.  Three-dimensional imaging of solvent-cleared organs using 3DISCO , 2012, Nature Protocols.

[43]  Yudong D. He,et al.  Transcriptional Profiling of Laser Capture Microdissected Subpopulations of the Osteoblast Lineage Provides Insight Into the Early Response to Sclerostin Antibody in Rats , 2015, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[44]  D. C. Sterio The unbiased estimation of number and sizes of arbitrary particles using the disector , 1984, Journal of microscopy.

[45]  D. Goltzman,et al.  Discoveries, drugs and skeletal disorders , 2002, Nature Reviews Drug Discovery.

[46]  J. E. Gardi,et al.  The proportionator: Unbiased stereological estimation using biased automatic image analysis and non-uniform probability proportional to size sampling , 2008, Comput. Biol. Medicine.

[47]  R. Weiler,et al.  Chemical Clearing and Dehydration of GFP Expressing Mouse Brains , 2012, PloS one.

[48]  H. Gundersen Stereology of arbitrary particles * , 1986, Journal of microscopy.

[49]  H. Kronenberg,et al.  A Subset of Chondrogenic Cells Provides Early Mesenchymal Progenitors in Growing Bones , 2014, Nature Cell Biology.

[50]  Zhiyu Zhao,et al.  Deep imaging of bone marrow shows non-dividing stem cells are mainly perisinusoidal , 2015, Nature.