Microfluidic reactors for advancing the MS analysis of fast biological responses

The response of cells to physical or chemical stimuli is complex, unfolding on time-scales from seconds to days, with or without de novo protein synthesis, and involving signaling processes that are transient or sustained. By combining the technology of microfluidics that supports fast and precise execution of a variety of cell handling operations, with that of mass spectrometry detection that facilitates an accurate and complex characterization of the protein complement of cells, in this work, we developed a platform that supports (near) real-time sampling and proteome-level capturing of cellular responses to a perturbation such as treatment with mitogens. The geometric design of the chip supports three critical features: (a) capture of a sufficient number of cells to meet the detection limit requirements of mass spectrometry instrumentation, (b) fluid delivery for uniform stimulation of the resident cells, and (c) fast cell recovery, lysis and processing for accurate sampling of time-sensitive cellular responses to a stimulus. COMSOL simulations and microscopy were used to predict and evaluate the flow behavior inside the microfluidic device. Proteomic analysis of the cellular extracts generated by the chip experiments revealed that the identified proteins were representative of all cellular locations, exosomes, and major biological processes related to proliferation and signaling, demonstrating that the device holds promising potential for integration into complex lab-on-chip work-flows that address systems biology questions. The applicability of the chips to study time-sensitive cellular responses is discussed in terms of technological challenges and biological relevance.Microfluidics: Weighing the benefits of real-time cellular monitoringChip-scale devices that quickly deliver proteins expressed by cells to mass spectrometers may bring quantitative insights into the early stages of cancer. Many proteins generated by cells during signaling events are transient and present in numbers too small to be detected by typical analytical instruments. Iulia Lazar and colleagues from Virginia Tech in Blacksburg, United States have developed a microfluidic system that improves the capture of these biomolecules by exposing cells, held in high-capacity chambers, to a crosswise flow of stimulating agents. This setup yielded faster and more accurate mass spectrometry analysis of the cellular protein content than the systems that delivered agents lengthwise along the sample chambers. Experiments with breast cancer cells enabled the team to identify hundreds of proteins involved in growth and division processes in the few minutes following exposure to mitosis-triggering substances.

[1]  Kazuhiro Aoki,et al.  Stochastic ERK activation induced by noise and cell-to-cell propagation regulates cell density-dependent proliferation. , 2013, Molecular cell.

[2]  A. Herr,et al.  Microfluidics: reframing biological enquiry , 2015, Nature Reviews Molecular Cell Biology.

[3]  Jung-Hwan Park,et al.  Wireless induction heating in a microfluidic device for cell lysis. , 2010, Lab on a chip.

[4]  R. Milo What is the total number of protein molecules per cell volume? A call to rethink some published values , 2013, BioEssays : news and reviews in molecular, cellular and developmental biology.

[5]  C. Fenselau,et al.  Evaluation of Spectral Counting for Relative Quantitation of Proteoforms in Top-Down Proteomics. , 2016, Analytical chemistry.

[6]  Sang Youl Yoon,et al.  Handheld mechanical cell lysis chip with ultra-sharp silicon nano-blade arrays for rapid intracellular protein extraction. , 2010, Lab on a chip.

[7]  Ronan M. T. Fleming,et al.  Advantages and challenges of microfluidic cell culture in polydimethylsiloxane devices. , 2015, Biosensors & bioelectronics.

[8]  Rashid Bashir,et al.  Ultra-localized single cell electroporation using silicon nanowires. , 2013, Lab on a chip.

[9]  I. Hoeschele,et al.  Cell Cycle Model System for Advancing Cancer Biomarker Research , 2017, Scientific Reports.

[10]  Luke P. Lee,et al.  Continuous perfusion microfluidic cell culture array for high-throughput cell-based assays. , 2005, Biotechnology and bioengineering.

[11]  Chang Lu,et al.  Genomic DNA extraction from cells by electroporation on an integrated microfluidic platform. , 2012, Analytical chemistry.

[12]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[13]  R. Cheong,et al.  Using a Microfluidic Device for High-Content Analysis of Cell Signaling , 2009, Science Signaling.

[14]  I. Lazar,et al.  Proteomic study reveals a functional network of cancer markers in the G1-Stage of the breast cancer cell cycle , 2014, BMC Cancer.

[15]  Ananda L Roy,et al.  Regulation of primary response genes. , 2011, Molecular cell.

[16]  Jungkyu Kim,et al.  Microfluidic sample preparation: cell lysis and nucleic acid purification. , 2009, Integrative biology : quantitative biosciences from nano to macro.

[17]  Robert C. Wolpert,et al.  A Review of the , 1985 .

[18]  I. Lazar,et al.  Endogenous protein "barcode" for data validation and normalization in quantitative MS analysis. , 2014, Analytical chemistry.

[19]  Dong Pyo Kim,et al.  Nanowire-integrated microfluidic devices for facile and reagent-free mechanical cell lysis. , 2012, Lab on a chip.

[20]  L. Gervais,et al.  Microfluidic Chips for Point‐of‐Care Immunodiagnostics , 2011, Advanced materials.

[21]  Jukka Westermarck,et al.  Phosphatase‐mediated crosstalk between MAPK signaling pathways in the regulation of cell survival , 2008, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[22]  Ryan A. Kellogg,et al.  High-throughput microfluidic single-cell analysis pipeline for studies of signaling dynamics , 2014, Nature Protocols.

[23]  J. Audet,et al.  Current techniques for single-cell lysis , 2008, Journal of The Royal Society Interface.

[24]  N. Navin,et al.  Advances and applications of single-cell sequencing technologies. , 2015, Molecular cell.

[25]  A. Paulus,et al.  Enhanced Peptide Identification Using Capillary UHPLC and Orbitrap Mass Spectrometry , 2017 .

[26]  D. Beebe,et al.  The present and future role of microfluidics in biomedical research , 2014, Nature.

[27]  Ponnambalam Ravi Selvaganapathy,et al.  A Review on Macroscale and Microscale Cell Lysis Methods , 2017, Micromachines.

[28]  Chin Wee Tan,et al.  Wnt Signalling Pathway Parameters for Mammalian Cells , 2012, PloS one.

[29]  Payam Shahi,et al.  Single-Cell RT-PCR in Microfluidic Droplets with Integrated Chemical Lysis. , 2018, Analytical chemistry.

[30]  Andrew R. Jones,et al.  Evaluation of Parameters for Confident Phosphorylation Site Localization Using an Orbitrap Fusion Tribrid Mass Spectrometer. , 2017, Journal of proteome research.

[31]  Rachel M. Adams,et al.  Systematic comparison of label-free, metabolic labeling, and isobaric chemical labeling for quantitative proteomics on LTQ Orbitrap Velos. , 2012, Journal of proteome research.

[32]  Vasan Venugopalan,et al.  Examination of laser microbeam cell lysis in a PDMS microfluidic channel using time-resolved imaging. , 2008, Lab on a chip.

[33]  Chien-Chung Peng,et al.  Drug testing and flow cytometry analysis on a large number of uniform sized tumor spheroids using a microfluidic device , 2016, Scientific Reports.

[34]  F. Drabløs,et al.  Gene regulation in the immediate-early response process. , 2016, Advances in biological regulation.

[35]  Z. Nie,et al.  Microfluidic 3D cell culture: potential application for tissue-based bioassays. , 2012, Bioanalysis.

[36]  Yingfu Li,et al.  Electrophoretic Concentration and Electrical Lysis of Bacteria in a Microfluidic Device Using a Nanoporous Membrane , 2017, Micromachines.

[37]  Dafu Cui,et al.  Microfluidic Biochip for Blood Cell Lysis , 2006 .

[38]  Iulia M Lazar,et al.  Microfluidic LC device with orthogonal sample extraction for on-chip MALDI-MS detection. , 2013, Lab on a Chip.

[39]  Q. Fang,et al.  Microfluidics for cell-based high throughput screening platforms - A review. , 2016, Analytica chimica acta.

[40]  R. Setterquist,et al.  Exosomes: current knowledge of their composition, biological functions, and diagnostic and therapeutic potentials. , 2012, Biochimica et biophysica acta.

[41]  Shashi K Murthy,et al.  An Integrated Platform for Isolation, Processing, and Mass Spectrometry-based Proteomic Profiling of Rare Cells in Whole Blood* , 2015, Molecular & Cellular Proteomics.

[42]  Richard M Maceiczyk,et al.  Small but Perfectly Formed? Successes, Challenges, and Opportunities for Microfluidics in the Chemical and Biological Sciences , 2017 .

[43]  Damian Szklarczyk,et al.  The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible , 2016, Nucleic Acids Res..

[44]  A. Abate,et al.  Ultrahigh-throughput Mammalian single-cell reverse-transcriptase polymerase chain reaction in microfluidic drops. , 2013, Analytical chemistry.

[45]  Sandeep Kumar Jha,et al.  An integrated PCR microfluidic chip incorporating aseptic electrochemical cell lysis and capillary electrophoresis amperometric DNA detection for rapid and quantitative genetic analysis. , 2012, Lab on a chip.

[46]  J. Santiago,et al.  Integrated printed circuit board device for cell lysis and nucleic acid extraction. , 2012, Analytical chemistry.

[47]  M. Mann,et al.  Decoding signalling networks by mass spectrometry-based proteomics , 2010, Nature Reviews Molecular Cell Biology.

[48]  Paul Yager,et al.  Cell lysis and protein extraction in a microfluidic device with detection by a fluorogenic enzyme assay. , 2002, Analytical chemistry.

[49]  Zhuangde Jiang,et al.  Emerging microfluidic devices for cell lysis: a review. , 2014, Lab on a chip.

[50]  Walter Kolch,et al.  Functional proteomics to dissect tyrosine kinase signalling pathways in cancer , 2010, Nature Reviews Cancer.