Development of microfluidic platform capable of high-throughput absolute quantification of single-cell multiple intracellular proteins from tumor cell lines and patient tumor samples.

Quantification of single-cell proteins plays key roles in cell heterogeneity while due to technical limitations absolute numbers of multiple intracellular proteins from large populations of single cells were still missing, leading to compromised results in cell-type classifications. This paper presents a microfluidic platform capable of high-throughput absolute quantification of single-cell multiple types of intracellular proteins where cells stained with fluorescent labelled antibodies are aspirated into the constriction microchannels with excited fluorescent signals detected and translated into numbers of binding sites of targeted proteins based on calibration curves formed by flushing gradient solutions of fluorescent labelled antibodies directly into constriction microchannels. Based on this approach, single-cell numbers of binding sites of β-actin, α-tubulin and β-tubulin from tens of thousands of five representative tumor cell lines were first quantified, reporting cell-type classification rates of 83.0 ± 7.1%. Then single-cell numbers of binding sites of β-actin, biotin and RhoA from thousands of five tumor cell lines with varieties in malignant levels were quantified, reporting cell-type classification rates of 93.7 ± 2.8%. Furthermore, single-cell numbers of binding sites of Ras, c-Myc and p53 from thousands of cells derived from two oral tumor lines of CAL 27, WSU-HN6 and two oral tumor patient samples were quantified, contributing to high classifications of both tumor cell lines (98.6%) and tumor patient samples (83.4%). In conclusion, the developed microfluidic platform was capable of quantifying multiple intracellular proteins from large populations of single cells, and the collected data of protein expressions enabled effective cell-type classifications.

[1]  Kevin Maher,et al.  Quantitative flow cytometry in the clinical laboratory , 2005 .

[2]  Rong Fan,et al.  A Clinical Microchip for Evaluation of Single Immune Cells Reveals High Functional Heterogeneity in Phenotypically Similar T Cells Nih Public Access Author Manuscript Design Rationale and Detection Limit of the Scbc Online Methods Microchip Fabrication On-chip Secretion Profiling Supplementary Mater , 2022 .

[3]  Corbin E. Meacham,et al.  Tumour heterogeneity and cancer cell plasticity , 2013, Nature.

[4]  C. Moritz Tubulin or Not Tubulin: Heading Toward Total Protein Staining as Loading Control in Western Blots , 2017, Proteomics.

[5]  David A. Weitz,et al.  Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices , 2017, Nature Reviews Genetics.

[6]  Junbo Wang,et al.  A microfluidic flow cytometer enabling absolute quantification of single-cell intracellular proteins. , 2017, Lab on a chip.

[7]  J Christopher Love,et al.  Multidimensional analysis of the frequencies and rates of cytokine secretion from single cells by quantitative microengraving. , 2010, Lab on a chip.

[8]  Amy E. Herr,et al.  Single-cell western blotting , 2014, Nature Methods.

[9]  J. Heath,et al.  Integrated measurement of intracellular proteins and transcripts in single cells. , 2018, Lab on a chip.

[10]  Rong Fan,et al.  Chemistries for patterning robust DNA microbarcodes enable multiplex assays of cytoplasm proteins from single cancer cells. , 2010, Chemphyschem : a European journal of chemical physics and physical chemistry.

[11]  G E Marti,et al.  Quantitative flow cytometry: history, practice, theory, consensus, inter-laboratory variation and present status. , 2002, Cytotherapy.

[12]  Navin Varadarajan,et al.  Rapid, efficient functional characterization and recovery of HIV-specific human CD8+ T cells using microengraving , 2012, Proceedings of the National Academy of Sciences.

[13]  J. Buhmann,et al.  Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry , 2014, Nature Methods.

[14]  Guo-Jun Zhang,et al.  An integrated chip for rapid, sensitive, and multiplexed detection of cardiac biomarkers from fingerprick blood. , 2011, Biosensors & bioelectronics.

[15]  V. Haroutunian,et al.  Expression of four housekeeping proteins in elderly patients with schizophrenia , 2009, Journal of Neural Transmission.

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

[17]  Robert A. Hoffman,et al.  NIST/ISAC standardization study: Variability in assignment of intensity values to fluorescence standard beads and in cross calibration of standard beads to hard dyed beads , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[18]  J. C. Love,et al.  A microengraving method for rapid selection of single cells producing antigen-specific antibodies , 2006, Nature Biotechnology.

[19]  Xiaoli Zhang,et al.  Single-molecule-counting protein microarray assay with nanoliter samples and its application in the dynamic protein expression of living cells. , 2011, Biosensors & bioelectronics.

[20]  Rosamonde E Banks,et al.  Housekeeping proteins: A preliminary study illustrating some limitations as useful references in protein expression studies , 2005, Proteomics.

[21]  J. Heath,et al.  Allosteric Inhibitor of KRas Identified Using a Barcoded Assay Microchip Platform. , 2018, Analytical chemistry.

[22]  Bernd Bodenmiller,et al.  Unraveling cell populations in tumors by single-cell mass cytometry. , 2015, Current opinion in biotechnology.

[23]  J Christopher Love,et al.  Massively parallel detection of gene expression in single cells using subnanolitre wells. , 2010, Lab on a chip.

[24]  Lani F. Wu,et al.  Cellular Heterogeneity: Do Differences Make a Difference? , 2010, Cell.

[25]  Junbo Wang,et al.  Development of Microfluidic Systems Enabling High-Throughput Single-Cell Protein Characterization , 2016, Sensors.

[26]  Sean C. Bendall,et al.  Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum , 2011, Science.

[27]  C. Stewart,et al.  Four color compensation. , 1999, Cytometry.

[28]  A. Oudenaarden,et al.  Every Cell Is Special: Genome-wide Studies Add a New Dimension to Single-Cell Biology , 2014, Cell.

[29]  P. Chattopadhyay,et al.  Cytometry: today's technology and tomorrow's horizons. , 2012, Methods.

[30]  Rong Fan,et al.  Single-cell proteomic chip for profiling intracellular signaling pathways in single tumor cells , 2011, Proceedings of the National Academy of Sciences.

[31]  Junbo Wang,et al.  A Microfluidic Fluorescent Flow Cytometry Capable of Quantifying Cell Sizes and Numbers of Specific Cytosolic Proteins , 2018, Scientific Reports.

[32]  G E Marti,et al.  Quantitative flow cytometry: inter-laboratory variation. , 1998, Cytometry.

[33]  Wei Wei,et al.  Single cell proteomics in biomedicine: High‐dimensional data acquisition, visualization, and analysis , 2017, Proteomics.

[34]  Dmitry Bandura,et al.  Highly multiparametric analysis by mass cytometry. , 2010, Journal of immunological methods.

[35]  Kyujung Kim,et al.  Microfluidic assay-based optical measurement techniques for cell analysis: A review of recent progress. , 2016, Biosensors & bioelectronics.

[36]  William G Telford,et al.  Flow cytometry of fluorescent proteins. , 2012, Methods.

[37]  Amy E Herr,et al.  Profiling protein expression in circulating tumour cells using microfluidic western blotting , 2017, Nature Communications.

[38]  N. McGranahan,et al.  The causes and consequences of genetic heterogeneity in cancer evolution , 2013, Nature.

[39]  O. Ornatsky,et al.  Mass cytometry: technique for real time single cell multitarget immunoassay based on inductively coupled plasma time-of-flight mass spectrometry. , 2009, Analytical chemistry.

[40]  G. Nolan,et al.  Mass Cytometry: Single Cells, Many Features , 2016, Cell.

[41]  Alexandra J. Baumann,et al.  Recent advancements of flow cytometry: new applications in hematology and oncology , 2014, Expert review of molecular diagnostics.