Quantitative tissue cytometry (Tissomics): multimodal slide-based cytometry, confocal imaging, and volume rendering is the key

Multiplexed high-content cytometric analysis of cells is a prerequisite for Cytomics and Systems Biology. Slide Based Cytometry (SBC) analysis yields quantitative cell related data on various cell constituents. It allows to measure and identify in high-throughput hundred-thousands of objects and obtain cytometric data on light absorption, scatter and fluorescence signals. Selected cells of interest can be rescanned and morphologically evaluated. To be cytometric SBC measurement needs high focal depth in order to acquire the fluorescence of the whole cell. For tissue analysis section thickness of >30μm is needed to reduce cell sectioning leading in multiple labelled specimens to an overestimation of multiple stained cells due to stereology, mimicking co-expression or elevated expression that is in fact due to coincidences in the z-axis direction. By confocal sectioning and 3D-reconstruction these overlays could be eliminated but confocal 3D imaging is slow and the resulting data are not cytometric. To overcome this obstacle, we combined SBC analysis with confocal imaging using a Laser Scanning Cytometer (iCys, Compucyte Corp., MA). Single to triple labelled 30-120μm thick human brain sections were scanned cytometrically (up to three laser 405nm, 488nm, 633nm) and double and triple labeled cells were identified. In the second step these objects were relocated, scanned confocally and 3D-reconstructed (Mathematica®, MathGL3d). This combination of high-throughput SBC and high-resolution confocal imaging enables for unequivocal identification of multiple labelled objects and is a prerequisite for Cytomic tissue analysis, Tissomics. (Support: HBFG 036/379-1)

[1]  Nan Wang,et al.  Getting the right cells to the array: Gene expression microarray analysis of cell mixtures and sorted cells , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[2]  C Cremer,et al.  Three‐dimensional spectral precision distance microscopy of chromatin nanostructures after triple‐colour DNA labelling: a study of the BCR region on chromosome 22 and the Philadelphia chromosome , 2000, Journal of microscopy.

[3]  A. Smith,et al.  Cell cycle markers in the hippocampus in Alzheimer’s disease , 1997, Acta Neuropathologica.

[4]  J. Lakowicz,et al.  Fluorescence lifetime imaging of nuclear DNA: effect of fluorescence resonance energy transfer. , 2000, Cytometry.

[5]  Karl Herrup,et al.  Neuronal Cell Death Is Preceded by Cell Cycle Events at All Stages of Alzheimer's Disease , 2003, The Journal of Neuroscience.

[6]  N. Heintz Cell death and the cell cycle: a relationship between transformation and neurodegeneration? , 1993, Trends in biochemical sciences.

[7]  Attila Tárnok,et al.  Clinical applications of laser scanning cytometry. , 2002, Cytometry.

[8]  Y. Yung,et al.  Constitutional Aneuploidy in the Normal Human Brain , 2005, The Journal of Neuroscience.

[9]  Attila Tárnok,et al.  Polychromatic (eight‐color) slide‐based cytometry for the phenotyping of leukocyte, NK, and NKT subsets , 2005, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[10]  A. Mittag,et al.  Iterative restaining as a pivotal tool for n‐color immunophenotyping by slide‐based cytometry , 2006, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[11]  K. Herrup,et al.  DNA Replication Precedes Neuronal Cell Death in Alzheimer's Disease , 2001, The Journal of Neuroscience.

[12]  E. D’Emilia,et al.  SNOM and AFM microscopy techniques to study the effect of non‐ionizing radiation on the morphological and biochemical properties of human keratinocytes cell line (HaCaT) , 2004, Journal of microscopy.

[13]  Josef Smolle,et al.  Tissue Counter Analysis of Histologic Sections of Melanoma: Influence of Mask Size and Shape, Feature Selection, Statistical Methods and Tissue Preparation , 2002, Analytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology.

[14]  A Kriete,et al.  Automated Tissue Analysis – a Bioinformatics Perspective , 2005, Methods of Information in Medicine.

[15]  S. Hell Toward fluorescence nanoscopy , 2003, Nature Biotechnology.

[16]  V. Mareš,et al.  A cytochemical and autoradiographic study of nuclear DNA in mouse Purkinje cells. , 1973, Brain research.

[17]  M. Smith,et al.  Abnormal expression of the cell cycle regulators P16 and CDK4 in Alzheimer's disease. , 1997, The American journal of pathology.

[18]  J. Fujimoto Optical coherence tomography for ultrahigh resolution in vivo imaging , 2003, Nature Biotechnology.

[19]  U. Gärtner,et al.  Expression of the cyclin‐dependent kinase inhibitor p16 in Alzheimer's disease , 1996, Neuroreport.

[20]  I. V. Soloviev,et al.  The Variation of Aneuploidy Frequency in the Developing and Adult Human Brain Revealed by an Interphase FISH Study , 2005, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[21]  Zsolt Tulassay,et al.  Scanning fluorescent microscopy is an alternative for quantitative fluorescent cell analysis , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[22]  N. Stone,et al.  The use of Raman spectroscopy to identify and characterize transitional cell carcinoma in vitro , 2004, BJU international.

[23]  L. Lapham Cytologic and cytochemical studies of neuroglia. I. A study of the problem of amitosis in reactive protoplasmic astrocytes. , 1962, The American journal of pathology.

[24]  A. Smith,et al.  Expression of cell division markers in the hippocampus in Alzheimer’s disease and other neurodegenerative conditions , 1997, Acta Neuropathologica.

[25]  Robert F. Murphy,et al.  Object type recognition for automated analysis of protein subcellular location , 2005, IEEE Transactions on Image Processing.

[26]  G. Schütz,et al.  Ultra-sensitive fluorescence reader for bioanalysis. , 2004, Current pharmaceutical biotechnology.

[27]  C. Mandarim-de-Lacerda,et al.  Stereological tools in biomedical research. , 2003, Anais da Academia Brasileira de Ciencias.

[28]  T. Arendt,et al.  Neuronal expression of cycline dependent kinase inhibitors of the INK4 family in Alzheimer's disease , 1998, Journal of Neural Transmission.

[29]  J P Rigaut,et al.  Three-dimensional DNA image cytometry by confocal scanning laser microscopy in thick tissue blocks of prostatic lesions. , 1997, Cytometry.

[30]  K. Herrup,et al.  Re-expression of cell cycle proteins induces neuronal cell death during Alzheimer's disease. , 2002, Journal of Alzheimer's disease : JAD.

[31]  P. Chattopadhyay,et al.  Seventeen-colour flow cytometry: unravelling the immune system , 2004, Nature Reviews Immunology.

[32]  B. Molnár,et al.  Digital slide and virtual microscopy based routine and telepathology evaluation of routine gastrointestinal biopsy specimens , 2003, Journal of clinical pathology.

[33]  J. Schmid,et al.  Application of spectral imaging microscopy in cytomics and fluorescence resonance energy transfer (FRET) analysis , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[34]  C. Lippa,et al.  Ki‐67 Immunoreactivity in Alzheimer's Disease and Other Neurodegenerative Disorders , 1995, Journal of neuropathology and experimental neurology.

[35]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[36]  H V Westerhoff The silicon cell, not dead but live! , 2001, Metabolic engineering.

[37]  Scott E. Fraser,et al.  Digitizing life at the level of the cell: high-performance laser-scanning microscopy and image analysis for in toto imaging of development , 2003, Mechanisms of Development.

[38]  Marion Peter,et al.  Imaging molecular interactions by multiphoton FLIM , 2004, Biology of the cell.

[39]  R. Ecker,et al.  Microscopy‐based multicolor tissue cytometry at the single‐cell level , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[40]  G. Jicha,et al.  Aberrant Expression of Mitotic Cdc2/Cyclin B1 Kinase in Degenerating Neurons of Alzheimer’s Disease Brain , 1997, The Journal of Neuroscience.

[41]  J. Price,et al.  Ultra-rare-event detection performance of a custom scanning cytometer on a model preparation of fetal nRBCs. , 2000, Cytometry.

[42]  R. Murphy,et al.  Objective Clustering of Proteins Based on Subcellular Location Patterns , 2005, Journal of biomedicine & biotechnology.

[43]  L. Kamentsky,et al.  Next-generation laser scanning cytometry. , 2004, Methods in cell biology.

[44]  G. Cox,et al.  Whole-mount sections displaying microvascular and glandular structures in human uterus using multiphoton excitation microscopy. , 2003, Micron.

[45]  Attila Tárnok,et al.  Quantitative histology by multicolor slide‐based cytometry , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[46]  T. Arendt,et al.  Activated Mitogenic Signaling Induces a Process of Dedifferentiation in Alzheimer's Disease That Eventually Results in Cell Death , 2000, Annals of the New York Academy of Sciences.

[47]  I. Vincent,et al.  The cell cycle Cdc25A tyrosine phosphatase is activated in degenerating postmitotic neurons in Alzheimer's disease. , 2000, The American journal of pathology.

[48]  J. Eilers,et al.  Calbindin D28k targets myo-inositol monophosphatase in spines and dendrites of cerebellar Purkinje neurons. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[49]  Andres Kriete,et al.  Combined histomorphometric and gene-expression profiling applied to toxicology , 2003, Genome Biology.

[50]  K. Herrup,et al.  Ectopic Cell Cycle Proteins Predict the Sites of Neuronal Cell Death in Alzheimer’s Disease Brain , 1998, The Journal of Neuroscience.

[51]  Leslie M Loew,et al.  Second-harmonic imaging microscopy for visualizing biomolecular arrays in cells, tissues and organisms , 2003, Nature Biotechnology.

[52]  E. Weibel Practical methods for biological morphometry , 1979 .