High-sensitivity Flow Cytometer Research Articles

Calibration and standardization of extracellular vesicle measurements by flow cytometry for translational prostate cancer research.

Extracellular vesicles (EVs) are microscopic particles released naturally in biofluids by all cell types. Since EVs inherits genomic and proteomic patterns from the cell of origin, they are emerging as promising liquid biomarkers for human diseases. Flow cytometry is a popular method that is able to detect, characterize and determine the concentration of EVs with minimal sample preparation. However, the limited awareness of the scientific community to utilize standardization and calibration methods of flow cytometers is an important roadblock for data reproducibility and inter-laboratory comparison. A significant collaborative effort by the Extracellular Vesicle Flow Cytometry Working Group has led to the development of guidelines and best practices for using flow cytometry and reporting data in a way to improve rigor and reproducibility in EV research. At first look, standardization and calibration of flow cytometry for EV detection may seem burdensome and technically challenging for non-academic laboratories with limited technical training and knowledge in EV flow cytometry. In this study, we build on prior research efforts and provide a systematic approach to evaluate the performance of a high sensitivity flow cytometer (herein Apogee A60-Micro Plus) and fine-tune settings to improve detection sensitivity for EVs. We performed calibration of our flow cytometer to generate data with comparable units (nanometers, MESF). Finally, we applied our optimized protocol to measure the concentrations of prostate-derived EVs in healthy individuals and prostate cancer patients. In conclusion, our proof-of-feasibility study can serve as a scientific and technical framework for other groups motivated in using flow cytometry for EV research.

This Is a Title in Title Case: Prediction of CML Evolution By Telomere Length Analysis at the Single-Chromosome Level

Telomeresplay a vital role in DNA repair activities and protecting chromosomes from degradation[1]. Telomeres are shortened during each cell division because of the end replication problem. After several cell division, telomeres are shortened to a critical length (< 3 kb), and eventually lead to overall genomic instability and triggering the DNA damage response[2-3], which is related to the cancerization of numerous cancers. The commonly used method to estimate telomere length isterminal restriction fragment (TRF) basedon southern blot, which requires thousands of cells and provides only a crude estimate of the average telomere length of all cells analyzed. However, it is believed that the frequency of critically short telomeres, rather than the mean telomere length, is a crucial factor for telomere dysfunction. Therefore, analysis of telomere length at the single-chromosome level is necessary to determine the frequency of critically short telomeres. Here, we describe the development of a high-throughput method for telomere length analysis at the single-chromosome level by using a laboratory-built high-sensitivity flow cytometer (HSFCM)[4] combined with targeted fluorescent peptide nucleic acid (PNA) probes. The unambiguous detection of the telomere signalsfrom a single chromosome was achieved via HSFCM analysis. The fluorescence intensity of single chromosome was converted to the probe number by a calibration curve, and was further transformed to the base pair number of the telomere. Five representative cell lines were analyzed to compare their telomere length and the ratio of critically short telomeres at the single-chromosome level. The potential of using frequency of short telomere for disease treatment monitoring is examined by analyzing the telomere length in lymphocyte of leukemia patients. The abundance of short telomeres was compared between healthy donors and patients with chronic myeloid leukemia (CML) to see whether it can be used to predict the efficacy of therapeutics. Moreover, the quantity of short telomeres was compared among patients with acute leukemia, patients in different phases of CML and healthy donors to see whether it can be used as a marker for disease progression prediction in CML. Reference [1] Blackburn E. H., Epel E. S., Lin J., Science,2015, 350, 1193-1198. [2]Collado M., Blasco M. A., Serrano M., Cell, 2007, 130, 223-233. [3] Deng Y., Chan S. S., Chang S., Nat. Rev. Cancer, 2008, 8, 450-458. [4] Yang LL, Zhu SB, Hang W, Wu LN, Yan XM, Anal. Chem., 2009, 81, 2555-2563. Figure 1 Disclosures No relevant conflicts of interest to declare.

Light-Scattering Sizing of Single Submicron Particles by High-Sensitivity Flow Cytometry.

Rapid and reliable size measurement of single submicron particles (100-1000 nm) is important for quality control of particulate matter, biomedical research, environmental study, and drug delivery system development. Though direct measurement of the elastically scattered light from individual submicron particles represents the simplest method for particle size measurement, the inadequate instrument sensitivity and complicated relationship between scattering intensity and particle size render it a great challenge. Combining the superior sensitivity of a laboratory-built high-sensitivity flow cytometer (HSFCM) in the side scattering (SSC) detection of single nanoparticles and the great efforts in synthesizing 38 highly monodisperse silica spheres ranging from 180 to 880 nm with small size intervals, here we report the first comprehensive comparison between the experimentally measured and Mie theory calculated intensities of light scattered by single submicron particles. Good agreements were observed for both the silica spheres and polystyrene beads at both the perpendicular and the parallel polarizations of the incident laser beam. Compared with perpendicular polarization, parallel polarization can resolve differently sized beads better due to the continuously increased scattering intensity with particle size. The predictive capability of the simple numerical model constructed in present work can be exploited to allow us to foresee scattering behavior on flow cytometers. More importantly, the linear correlation between the measured and the calculated scattering intensities enables us to develop a method that can measure the particle size of submicron particles with the precision and accuracy of Mie theory rather than a calibration curve fitted by several sparsely separated size reference standards. Comparable sizing resolution and accuracy to those of electron microscopy were demonstrated for Gram-positive bacteria Staphylococcus aureus. The as-developed method shows great potential in guiding the accurate size measurement of submicron particles.

Protein Profiling and Sizing of Extracellular Vesicles from Colorectal Cancer Patients via Flow Cytometry.

Extracellular vesicles (EVs) have stimulated considerable scientific and clinical interest, yet protein profiling and sizing of individual EVs remains challenging due to their small particle size, low abundance of proteins, and overall heterogeneity. Building upon a laboratory-built high-sensitivity flow cytometer (HSFCM), we report here a rapid approach for quantitative multiparameter analysis of single EVs down to 40 nm with an analysis rate up to 10 000 particles per minute. Statistically robust particle size distribution was acquired in minutes with a resolution and profile well matched with those of cryo-TEM measurements. Subpopulations of EVs expressing CD9, CD63, and/or CD81 were quantified upon immunofluorescent staining. When HSFCM was used to analyze blood samples, a significantly elevated level of CD147-positive EVs was identified in colorectal cancer patients compared to healthy controls (P < 0.001). HSFCM provides a sensitive and rapid platform for surface protein profiling and sizing of individual EVs, which could greatly aid the understanding of EV-mediated intercellular communication and the development of advanced diagnostic and therapeutic strategies.

High-Throughput Single-Particle Analysis of Metal-Enhanced Fluorescence in Free Solution Using Ag@SiO2 Core-Shell Nanoparticles.

Metal-enhanced fluorescence (MEF) based on localized surface plasmon resonance (LSPR) is an effective strategy to increase the detection sensitivity in biotechnology and biomedicine. Because plasmonic nanoparticles are intrinsically heterogeneous, high-throughput single-particle analysis of MEF in free solution are highly demanded for the mechanistic understanding and control of this nanoscale process. Here, we report the application of a laboratory-built high-sensitivity flow cytometer (HSFCM) to investigate the fluorescence-enhancing effect of individual plasmonic nanoparticles on nearby fluorophore molecules. Ag@SiO2 core-shell nanoparticles were used as the model system which comprised a silver core, a silica shell, and an FITC-doped thin layer of silica shell. FITC-doped silica nanoparticles of the same particle size but without silver core were used as the counterparts. Both the side scattering and fluorescence signals of single nanoparticles in suspension were measured simultaneously by the HSFCM at a speed of thousands of particles per minute. The roles of silver core size (40-100 nm) and fluorophore-metal distance (5-30 nm) were systematically examined. Fluorescence enhancement factor exceeding 30 was observed at silver core size of 70 nm and silica shell thickness of 5 nm. Compared with ensemble-averaged spectrofluorometric measurements, our experimental observation at the single-particle level was well supported by the finite difference time domain (FDTD) calculation. It allows us to achieve a fundamental understanding of MEF, which is important to the design and control of plasmonic nanostructures for efficient fluorescence enhancement.

Rapid and Quantitative Measurement of Single Quantum Dots in a Sheath Flow Cuvette.

Semiconducting quantum dots (QDs) are finding a wide range of biomedical applications due to their intense fluorescence brightness and long-term photostability. Here, we report precise quantification of the fluorescence intensity of single QDs on a laboratory-built high-sensitivity flow cytometer (HSFCM). The nearly uniform illumination of the particles at the intense portions of the radiation field resulted in narrowly distributed signals with high signal-to-noise ratios. By analysis of thousands of QDs individually in as little time as 1 min, intrinsic polydispersity was quickly revealed in a statistically robust manner. Applications of this technique in QD quality assessment, study of metal ion influence, and evaluation of aggregation upon biomolecule coupling are presented. Moreover, an accurate measurement of the QD particle concentration was achieved via single-particle enumeration. HSFCM is believed to provide a powerful characterization tool for QD synthesis and application development.

Multiparameter Quantification of Liposomal Nanomedicines at the Single-Particle Level by High-Sensitivity Flow Cytometry.

Drug-encapsulated liposomes have been considered the most clinically acceptable drug-delivery systems. However, current methods fall short in the quantitative characterization of individual nanoliposomes because of their small sizes and large heterogeneity. Here, we report a high-throughput method for the absolute quantification of particle size, drug content, fraction of drug encapsulation, and particle concentration of liposomal nanomedicines at the single-particle level. A laboratory-built high-sensitivity flow cytometer was used to simultaneously detect the side-scatter and fluorescence signals generated by individual nanomedicine particles at a speed up to 10 000 nanoparticles/min. To cope with the size dependence of the refractive index of liposomal nanomedicines, different sizes of doxorubicin-loaded liposomes were fabricated and characterized to serve as the calibration standards for the measurement of both particle size and drug content. This method provides a highly practical platform for the characterization of liposomal nanomedicines, and broad applications can be envisioned.

Rapid quantification of live/dead lactic acid bacteria in probiotic products using high-sensitivity flow cytometry

A laboratory-built high-sensitivity flow cytometer (HSFCM) was employed for the rapid and accurate detection of lactic acid bacteria (LAB) and their viability in probiotic products. LAB were stained with both the cell membrane-permeable SYTO 9 green-fluorescent nucleic acid stain and the red-fluorescent nucleic acid stain, propidium iodide, which penetrates only bacteria with compromised membranes. The side scatter and dual-color fluorescence signals of single bacteria were detected simultaneously by the HSFCM. Ultra-high temperature processing milk and skim milk spiked with Lactobacillus casei were used as the model systems for the optimization of sample pretreatment and staining. The viable LAB counts measured by the HSFCM were in good agreement with those of the plate count method, and the measured ratios between the live and dead LAB matched well with the theoretical ratios. The established method was successfully applied to the rapid quantification of live/dead LAB in yogurts and fermented milk beverages of different brands. Moreover, the concentration and viability status of LAB in ambient yogurt, a relatively new yet popular milk product in China, are also reported.

Label‐Free Analysis of Single Viruses with a Resolution Comparable to That of Electron Microscopy and the Throughput of Flow Cytometry

AbstractViruses are by far the most abundant biological entities on our planet, yet existing characterization methods are limited by either their speed or lack of resolution. By applying a laboratory‐built high‐sensitivity flow cytometer (HSFCM) to precisely quantify the extremely weak elastically scattered light from single viral particles, we herein report the label‐free analysis of viruses with a resolution comparable to that of electron microscopy and the throughput of flow cytometry. The detection of single viruses with diameters down to 27 nm is described. T7 and lambda bacteriophages, which differ in size by as little as 4 nm, could be baseline‐resolved. Moreover, subtle structural differences of the same viral particles can be discriminated. Using monodisperse silica nanoparticles as the size reference standards, the virus sizes measured by the HSFCM are in agreement with the equivalent particle diameters derived from their structural dimensions. The HSFCM opens a new avenue for virus characterization.

Label-Free Analysis of Single Viruses with a Resolution Comparable to That of Electron Microscopy and the Throughput of Flow Cytometry.

Viruses are by far the most abundant biological entities on our planet, yet existing characterization methods are limited by either their speed or lack of resolution. By applying a laboratory-built high-sensitivity flow cytometer (HSFCM) to precisely quantify the extremely weak elastically scattered light from single viral particles, we herein report the label-free analysis of viruses with a resolution comparable to that of electron microscopy and the throughput of flow cytometry. The detection of single viruses with diameters down to 27 nm is described. T7 and lambda bacteriophages, which differ in size by as little as 4 nm, could be baseline-resolved. Moreover, subtle structural differences of the same viral particles can be discriminated. Using monodisperse silica nanoparticles as the size reference standards, the virus sizes measured by the HSFCM are in agreement with the equivalent particle diameters derived from their structural dimensions. The HSFCM opens a new avenue for virus characterization.

Quantitative characterization of doxorubicin-encapsulated liposomes by a laboratory-built high sensitivity flow cytometer

Quantitative characterization of doxorubicin-encapsulated liposomes by a laboratory-built high sensitivity flow cytometer

Probing minority population of antibiotic-resistant bacteria

The evolution and spread of antibiotic-resistant pathogens has become a major threat to public health. Advanced tools are urgently needed to quickly diagnose antibiotic-resistant infections to initiate appropriate treatment. Here we report the development of a highly sensitive flow cytometric method to probe minority population of antibiotic-resistant bacteria via single cell detection. Monoclonal antibody against TEM-1 β-lactamase and Alexa Fluor 488-conjugated secondary antibody were used to selectively label resistant bacteria green, and nucleic acid dye SYTO 62 was used to stain all the bacteria red. A laboratory-built high sensitivity flow cytometer (HSFCM) was applied to simultaneously detect the side scatter and dual-color fluorescence signals of single bacteria. By using E. coli JM109/pUC19 and E. coli JM109 as the model systems for antibiotic-resistant and antibiotic-susceptible bacteria, respectively, as low as 0.1% of antibiotic-resistant bacteria were accurately quantified. By monitoring the dynamic population change of a bacterial culture with the administration of antibiotics, we confirmed that under the antimicrobial pressure, the original low population of antibiotic-resistant bacteria outcompeted susceptible strains and became the dominant population after 5hours of growth. Detection of antibiotic-resistant infection in clinical urine samples was achieved without cultivation, and the bacterial load of susceptible and resistant strains can be faithfully quantified. Overall, the HSFCM-based quantitative method provides a powerful tool for the fundamental studies of antibiotic resistance and holds the potential to provide rapid and precise guidance in clinical therapies.

High sensitivity flow cytometry of membrane vesicles.

Extracellular vesicles (EVs) are attracting attention as vehicles for inter-cellular signaling that may have value as diagnostic or therapeutic targets. EVs are released by many cell types and by different mechanisms, resulting in phenotypic heterogeneity that makes them a challenge to study. Flow cytometry is a popular tool for characterizing heterogeneous mixtures of particles such as cell types within blood, but the small size of EVs makes them difficult to measure using conventional flow cytometry. To address this limitation, a high sensitivity flow cytometer was constructed and EV measurement approaches that allowed them to enumerate and estimate the size of individual EVs, as well as measure the presence of surface markers to identify phenotypic subsets of EVs. Several fluorescent membrane probes were evaluated and it was found that the voltage sensing dye di-8-ANEPPS could produce vesicle fluorescence in proportion to vesicle surface area, allowing for accurate measurements of EV number and size. Fluorescence-labeled annexin V and anti-CD61 antibody was used to measure the abundance of these surface markers on EVs in rat plasma. It was shown that treatment of platelet rich plasma with calcium ionophore resulted in an increase in the fraction of annexin V and CD61-positive EVs. Vesicle flow cytometry using fluorescence-based detection of EVs has the potential to realize the potential of cell-derived membrane vesicles as functional biomarkers for a variety of applications.

Rapid detection and enumeration of total bacteria in drinking water and tea beverages using a laboratory-built high-sensitivity flow cytometer

This paper describes a method for the rapid detection and enumeration of total bacteria in drinking water and tea beverages.

Identification of mitochondria-targeting anticancer compounds by an in vitro strategy.

Mitochondria play a pivotal role in determining the point-of-no-return of the apoptotic process. Therefore, anticancer drugs that directly target mitochondria hold great potential to evade resistance mechanisms that have developed toward conventional chemotherapeutics. In this study, we report the development of an in vitro strategy to quickly identify the therapeutic agents that induce apoptosis via directly affecting mitochondria. This result is achieved by treating isolated mitochondria with potential anticancer compounds, followed by simultaneously measuring the side scatter and mitochondrial membrane potential (Δψ(m)) fluorescence of individual mitochondria using a laboratory-built high-sensitivity flow cytometer. The feasibility of this method was tested with eight widely used anticarcinogens. Dose-dependent Δψ(m) losses were observed for paclitaxel, antimycin A, betulinic acid, curcumin, ABT-737, and triptolide, but not for cisplatin or actinomycin D, which agrees well with their mechanisms of apoptosis induction reported in the literature. The as-developed method offers an effective approach to identify mitochondria-targeting anticancer compounds.

High-throughput single-cell analysis of low copy number β-galactosidase by a laboratory-built high-sensitivity flow cytometer

Single-cell analysis is vital in providing insights into the heterogeneity in molecular content and phenotypic characteristics of complex or clonal cell populations. As many essential proteins and most transcription factors are produced at a low copy number, analytical tools with superior sensitivity to enable the analysis of low abundance proteins in single cells are in high demand. β-galactosidase (β-gal) has been the standard cellular reporter for gene expression in both prokaryotic and eukaryotic cells. Here we report the development of a high-throughput method for the single-cell analysis of low copy number β-gal proteins using a laboratory-built high-sensitivity flow cytometer (HSFCM). Upon fluorescence staining with a fluorogenic substrate, quantitative measurements of the basal and near-basal expression of β-gal in single Escherichia coli BL21(DE3) cells were demonstrated. Statistical distribution can be determined quickly by analyzing thousands of individual cells in 1–2min, which reveals the heterogeneous expression pattern that is otherwise masked by the ensemble analysis. Combined with the quantitative fluorometric assay and the rapid bacterial enumeration by HSFCM, the β-gal expression distribution profile could be converted from arbitrary fluorescence units to protein copy numbers per cell. The sensitivity and speed of the HSFCM offers great capability in quantitative analysis of low abundance proteins in single cells, which would help gaining a deeper insight into the heterogeneity and fundamental biological processes in microbial populations.

High-Throughput Multiparameter Analysis of Individual Mitochondria

Mitochondria are one of the most important organelles responsible for cellular energy metabolism and apoptosis regulation. However, single-mitochondrion analysis is challenging, because of their small sizes and the low content of organelle constituents. Here, we report the development of a sensitive and versatile platform for high-throughput multiparameter analysis of individual mitochondria. Employing specific fluorescent staining with a laboratory-built high-sensitivity flow cytometer (HSFCM), we demonstrate the simultaneous detection of side scatter, cardiolipin, and mitochondria DNA (mtDNA) of a single mitochondrion. Simultaneous measurements of side scatter, porin, and cytochrome c of individual mitochondria are reported for the first time. Correlation analysis among multiple attributes on an organelle-by-organelle basis could provide a more definitive assessment of the purity, structure integrity, and apoptosis-related proteins of isolated mitochondria than bulk measurement. This work represents a significant advancement in single-mitochondrion analysis. We believe that the HSFCM holds great potential for studying apoptotic signal transduction pathways at the single-mitochondrion level.

Detection and Quantification of Bacterial Autofluorescence at the Single-Cell Level by a Laboratory-Built High-Sensitivity Flow Cytometer

Cellular autofluorescence can affect the sensitivity of fluorescence microscopic or flow cytometric assays by interfering with or even precluding the detection of low-level specific fluorescence. Here we developed a method to detect and quantify bacterial autofluorescence in the green region of the spectrum at the single-cell level using a laboratory-built high-sensitivity flow cytometer (HSFCM). The detection of the very weak bacterial autofluorescence was confirmed by analyzing polystyrene beads of comparable and larger size than bacteria in parallel. Dithionite reduction and air re-exposure experiments verified that the green autofluorescence mainly originates from endogenous flavins. Bacterial autofluorescence was quantified by calibrating the fluorescence intensity of nanospheres with known FITC equivalents, and autofluorescence distribution was generated by analyzing thousands of bacterial cells in 1 min. Among the eight bacterial strains tested, it was found that bacterial autofluorescence can vary from 80 to 1400 FITC equivalents per cell, depending on the bacterial species, and a relatively large cell-to-cell variation in autofluorescence intensity was observed. Quantitative measurements of bacterial autofluorescence provide a reference for the background signals that can be expected with bacteria, which is important in guiding studies of low-level gene expression and for the detection of low-abundance biological molecules in individual bacterial cells. This paper presents the first quantification of bacterial autofluorescence in FITC equivalents.

Size Differentiation and Absolute Quantification of Gold Nanoparticles via Single Particle Detection with a Laboratory-Built High-Sensitivity Flow Cytometer

Employing single nanoparticle detection with a laboratory-built high-sensitivity flow cytometer, we developed a simple and versatile platform that is capable of detecting the surface plasmon resonance scattering of gold nanoparticles (GNPs) as small as 24 nm, differentiating GNPs of different sizes, and providing accurate quantification of GNPs. Low-concentration samples (fM to pM) in small volumes (microL) can be measured in minutes with an analysis rate of up to 100-200 GNPs per second. Among these features, absolute quantification provides a distinct advantage because it does not require standard samples.