Ultra High-Throughput Multiparametric Imaging Flow Cytometry: Towards Diffraction-Limited Sub-Cellular Detection

Flow cytometry is widely recognized as the gold-standard technique for the analysis and enumeration of heterogeneous cellular populations and has become an indispensable tool in diagnostics,1 rare-cell detection2 and single-cell proteomics.3 Although contemporary flow cytometers are able to analyse many thousands of cells per second, with classification based on scattering or fluorescence criteria, the vast majority require unacceptably large sample volumes, and do not allow the acquisition of spatial information. Herein, we report a sheathless, microfluidic imaging flow cytometer that incorporates stroboscopic illumination for blur-free fluorescence and brightfield detection at analytical throughputs in excess of 60,000 cells/s and 400,000 cells per second respectively. Our imaging platform is capable of multi-parametric fluorescence quantification and subcellular (co-)localization analysis of cellular structures down to 500 nm with microscopy image quality. We demonstrate the efficacy of our approach by performing challenging high-throughput localization analysis of cytoplasmic RNA granules in yeast and human cells. Results suggest significant utility of the imaging flow cytometer in the screening of rare events at the subcellular level for diagnostic applications.

[1]  Yasuyuki Ozeki,et al.  Ultrafast confocal fluorescence microscopy beyond the fluorescence lifetime limit , 2018 .

[2]  S. Alberti,et al.  Cell adaptation upon stress: the emerging role of membrane-less compartments. , 2017, Current opinion in cell biology.

[3]  A. Orth,et al.  Akt-mediated phosphorylation of argonaute 2 downregulates cleavage and upregulates translational repression of MicroRNA targets. , 2013, Molecules and Cells.

[4]  Wendy N Erber,et al.  Applications of imaging flow cytometry in the diagnostic assessment of acute leukaemia. , 2017, Methods.

[5]  M. Peter,et al.  Reversible protein aggregation is a protective mechanism to ensure cell cycle restart after stress , 2017, Nature Cell Biology.

[6]  Yasuyuki Ozeki,et al.  On-chip light-sheet fluorescence imaging flow cytometry at a high flow speed of 1 m/s. , 2018, Biomedical optics express.

[7]  R. Mains,et al.  Flow cytometry‐assisted purification and proteomic analysis of the corticotropes dense‐core secretory granules , 2008, Proteomics.

[8]  J. Buchan mRNP granules , 2014, RNA biology.

[9]  P. Graves,et al.  Phosphorylation of Argonaute 2 at serine-387 facilitates its localization to processing bodies. , 2008, The Biochemical journal.

[10]  Andrew J. deMello,et al.  High-Throughput Multi-parametric Imaging Flow Cytometry , 2017 .

[11]  Yu-Hwa Lo,et al.  Imaging Cells in Flow Cytometer Using Spatial-Temporal Transformation , 2015, Scientific Reports.

[12]  Bahram Jalali,et al.  High-throughput single-microparticle imaging flow analyzer , 2012, Proceedings of the National Academy of Sciences.

[13]  Roy Parker,et al.  P bodies and the control of mRNA translation and degradation. , 2007, Molecular cell.

[14]  A. Cossarizza,et al.  Innovative Flow Cytometry Allows Accurate Identification of Rare Circulating Cells Involved in Endothelial Dysfunction , 2016, PloS one.

[15]  J. P. McCoy,et al.  Imaging flow cytometry for automated detection of hypoxia‐induced erythrocyte shape change in sickle cell disease , 2014, American journal of hematology.

[16]  I. Vorobjev,et al.  Imaging Flow Cytometry , 2012, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[17]  F Locatelli,et al.  Validation of flow cytometric phospho-STAT5 as a diagnostic tool for juvenile myelomonocytic leukemia , 2013, Blood Cancer Journal.

[18]  J. J. Moser,et al.  Identification of GW182 and its novel isoform TNGW1 as translational repressors in Ago2-mediated silencing , 2008, Journal of Cell Science.

[19]  M. Peter,et al.  Reversible, functional amyloids: towards an understanding of their regulation in yeast and humans , 2018, Cell cycle.

[20]  P. Sharp,et al.  Quantifying Argonaute proteins in and out of GW/P-bodies: implications in microRNA activities. , 2013, Advances in experimental medicine and biology.

[21]  Huan-Cheng Chang,et al.  Wide-field imaging and flow cytometric analysis of cancer cells in blood by fluorescent nanodiamond labeling and time gating , 2014, Scientific Reports.

[22]  D. Grier,et al.  Methods of Digital Video Microscopy for Colloidal Studies , 1996 .

[23]  William E. Ortyn,et al.  Cellular image analysis and imaging by flow cytometry. , 2007, Clinics in laboratory medicine.

[24]  A. Shyu,et al.  Ago-TNRC6 complex triggers microRNA-mediated mRNA decay by promoting biphasic deadenylation followed by decapping , 2009, Nature Structural &Molecular Biology.

[25]  R. Parker,et al.  Principles and Properties of Stress Granules. , 2016, Trends in cell biology.

[26]  Andy K. S. Lau,et al.  Ultrafast laser-scanning time-stretch imaging at visible wavelengths , 2016, Light: Science & Applications.

[27]  Lucas Pelkmans,et al.  A Systems-Level Study Reveals Regulators of Membrane-less Organelles in Human Cells. , 2018, Molecular cell.

[28]  A. deMello,et al.  Elasto-Inertial Focusing of Mammalian Cells and Bacteria Using Low Molecular, Low Viscosity PEO Solutions. , 2017, Analytical chemistry.

[29]  Fumihito Arai,et al.  Intelligent Image-Activated Cell Sorting , 2018, Cell.

[30]  J. Choo,et al.  An optofluidic system with integrated microlens arrays for parallel imaging flow cytometry. , 2018, Lab on a chip.

[31]  G. Sczakiel,et al.  Cell stress is related to re-localization of Argonaute 2 and to decreased RNA interference in human cells , 2010, Nucleic acids research.