Skip to main content

Development of a high-throughput γ-H2AX assay based on imaging flow cytometry

Abstract

Background

Measurement of γ-H2AX foci levels in cells provides a sensitive and reliable method for quantitation of the radiation-induced DNA damage response. The objective of the present study was to develop a rapid, high-throughput γ-H2AX assay based on imaging flow cytometry (IFC) using the ImageStream®X Mk II (ISX) platform to evaluate DNA double strand break (DSB) repair kinetics in human peripheral blood cells after exposure to ionizing irradiation.

Methods

The γ-H2AX protocol was developed and optimized for small volumes (100 μL) of human blood in Matrix™ 96-tube format. Blood cell lymphocytes were identified and captured by ISX INSPIRE™ software and analyzed by Data Exploration and Analysis Software.

Results

Dose- and time-dependent γ-H2AX levels corresponding to radiation exposure were measured at various time points over 24 h using the IFC system. γ-H2AX fluorescence intensity at 1 h after exposure, increased linearly with increasing radiation dose (R2 = 0.98) for the four human donors tested, whereas the dose response for the mean number of γ-H2AX foci/cell was not as robust (R2 = 0.81). Radiation-induced γ-H2AX levels rapidly increased within 30 min and reached a maximum by ~ 1 h, after which time there was fast decline by 6 h, followed by a much slower rate of disappearance up to 24 h. A mathematical approach for quantifying DNA repair kinetics using the rate of γ-H2AX decay (decay constant, Kdec), and yield of residual unrepaired breaks (Fres) demonstrated differences in individual repair capacity between the healthy donors.

Conclusions

The results indicate that the IFC-based γ-H2AX protocol may provide a practical and high-throughput platform for measurements of individual global DNA DSB repair capacity which can facilitate precision medicine by predicting individual radiosensitivity and risk of developing adverse effects related to radiotherapy treatment.

Background

Double Strand Breaks (DSBs) are one of the most important types of DNA damage. DSBs are more difficult to repair than many other lesions and their incorrect repair (e.g., misrejoining of broken DNA strands from different chromosomes) can result in cytotoxic or genomic alterations. Defects in the DNA repair machinery may increase cell vulnerability to DNA-damaging agents and accumulation of mutations in the genome, and could lead to the development of various disorders including cancers. Epidemiological evidence supports a strong association between global DSB repair capacity and cancer risk [1,2,3], radiation sensitivity [4, 5] and response to cancer therapy [6, 7]. The association between genetic defects in DNA repair and increased clinical radiosensitivity has been identified in many studies and used as a basis for the development of predictive assays for normal tissue toxicity [8].

Over the past decade, the γ-H2AX assay has been applied to a variety of cell types and tissues to correlate γ-H2AX levels with DNA damage and repair [9,10,11,12,13]. Following radiation exposure, histone H2AX is rapidly phosphorylated by ATM and/or DNA-PK kinases at or near the vicinity of DNA DSB sites to form γ-H2AX [14]. Immunolabeling of γ-H2AX provides a quantitative measurement and direct visualization of DSBs as fluorescent nuclear foci. At the cellular level, the kinetics of formation or loss of γ-H2AX foci may reflect the rate or efficiency of DSB repair [15]. The biphasic nature of DSB repair kinetics has been associated with different repair pathways that allow repair for a fast (initial few hours) and slow component (hours to days) of repair [16, 17]. Additionally, there is evidence that the DSBs assayed several hours after the initial radiation challenge that still remain unrepaired known as residual DNA damage, may be predictive of individual susceptibility to complex DNA lesions that can be lethal [18]. Current evidence suggests that there is a large inter-individual variation in DSB DNA repair capacity in lymphocytes from healthy individuals [19,20,21]. Further, clinical radiosensitivity is often linked to defects in DNA repair [5, 22, 23]. The capacity to repair DSB is therefore an important factor to consider in risk assessment, however studies to date are limited due to no large-scale prospective evidence or ability to conduct high-throughput phenotypic assays [24].

The objective of the present study was to develop a rapid, high-throughput γ-H2AX assay based on imaging flow cytometry (IFC) using the ImageStream®X Mk II (ISX MKII) platform to evaluate DNA DSB repair kinetics in human peripheral blood cells after exposure to ionizing irradiation. Imaging flow cytometry is a relatively new technique which combines the speed of flow cytometry with the imaging capability of conventional microscopy [25,26,27]. It has been used to analyze cell death, apoptosis and immune response as an advanced method for fluorescence-based analysis of cellular morphology and heterogeneity [28,29,30,31,32,33]. Combining the strength of flow cytometry and conventional microscopy enables high-throughput characterization of cells on a microscopic scale [34]. This paper presents: 1) dose response curves based on γ-H2AX fluorescence intensity and foci number, 2) measurements of DNA repair kinetics up to 24 h after exposure to 4 Gy γ rays and, 3) a mathematical approach for modeling DSB rejoining kinetics using two key parameters a) rate of γ-H2AX decay, and b) yield of residual unrepaired breaks.

Methods

Blood collection and irradiation

Blood was collected by venipuncture in 5 mL lithium-heparinized Vacutainer® tubes (BD Vacutainer™, Franklin Lakes, NJ) from healthy adult donors (2 female, 2 male) with informed consent and approval by the Columbia University Medical Center Institutional Review Board (IRB protocol IRB-AAAE-2671). All donors were non-smokers in relatively good health at the time of donation with no obvious illnesses such as colds, flu, or infections and no known exposures to medical ionizing radiation within the last 12 months. Fresh blood aliquots (1 mL) were dispensed into 15 mL conical bottom tubes (Santa Cruz Biotechnology, Dallas, TX) and were irradiated with γ rays (0, 2 and 4 Gy) using a Gammacell® 40 137Cesium irradiator (Atomic Energy of Canada, Ltd., Chalk River, ON). The blood sample tubes were placed on their side in the middle of the chamber and irradiated with a dose rate of 0.73 Gy/min [35]. The 137Cs irradiator was calibrated annually with TLDs and homogeneity of exposure across the sample volume was verified using EBT3 Gafchromic film with less than 2% variation within the sample (Ashland Advanced Materials, Gafchromic, Bridgewater, NJ).

γ-H2AX assay immunolabeling protocol

Immediately after irradiation, 100 μl blood aliquots were transferred to 1.4 mL 2D Matrix™ microtubes (Thermo Scientific™, Waltham, MA) containing 900 μL RPMI 1640 culture medium (Gibco, Waltham, MA) supplemented with 15% FBS and 2% Penicillin and Streptomycin (all reagents from Invitrogen, Eugene, OR). The rack containing microtubes was placed into an incubator at 37 °C, 5% CO2 up to 24 h. At specific time points after irradiation (0.5, 1, 3, 6 and, 24 h), cultured blood samples were lysed and fixed with 1X Lyse/fix solution (BD Phosflow™,; BD Biosciences, San Jose, CA), washed with 1X phosphate buffered saline (PBS, Gibco, Gaithersburg, MD), suspended in 50% cold methanol, and stored at 4 °C for 24 h. Fixed cells were permeabilized with 0.1% Triton X-100 (Sigma-Aldrich, St. Louis, MO) at room temperature for 10 min and then incubated with Alexa Fluor® 488 Mouse anti-H2AX (pS139) antibody (clone N1–431, BD Pharmingen™, Franklin Lakes, NJ), diluted 1:1000 with 1% bovine serum albumin (BSA, Sigma-Aldrich, St. Louis, MO) at room temperature for 1 h, after which the samples were washed with 1X PBS and stained with 5 μM DRAQ5™ (Thermo Scientific™) at RT for a minimum of 5 min. All solution transferring or mixing in microtubes was performed using a 1.2-ml multichannel electronic pipet (Eppendorf Inc., Westbury, NY). All steps in the procedure were performed at room temperature (RT) and microtubes in racks were spun at 250×g for 3 min.

Data acquisition and analysis on the ISX and IDEAS®

The 96-well plate of samples were transferred to the ImageStream®X Mk II (ISX MKII) imaging flow cytometer (LUMINEX Corporation, Austin, Texas) for automated sample acquisition and captured using the ISX INSPIRE™ data acquisition software. Images of 5000–12,000 cells were acquired at 40x magnification using the 488 nm excitation laser at 200 mW: Bright field (BF) images were captured on channel 1, γ-H2AX immunostaining on channel 2, DRAQ5 images on channel 5 and side scatter on channel 6. Data was collected with only the Area feature applied in the BF channel, such that events with areas less than 60 pixels (15 μm2) were gated out in order to minimize the collection of small debris. For the compensation, irradiated blood cells were stained with γ-H2AX antibody or DRAQ5 only and captured using the 488 nm laser without brightfield illumination. The compensation coefficients were calculated automatically using the compensation wizard in the Image Data Exploration and Analysis Software (IDEAS) package (v6.2). To quantify the γ-H2AX expression levels, the viable lymphocytes population was gated for foci quantification and total γ-H2AX fluorescence intensity. Nuclear foci formation was identified using the spot counting wizard in IDEAS which automated identification and enumeration of foci. The geometric mean of the γ-H2AX fluorescence intensity of individual cells from each sample was analyzed. For the dose response curve, γ-H2AX foci and intensity levels were measured at 1 h post irradiation. All curves were generated using GraphPad Prism 7 (GraphPad software Inc., La Jolla, CA), and R2 value was calculated to assess goodness of fit of curves from linear regression analysis.

Quantitative modeling of DNA repair kinetics

For the kinetic curves, γ-H2AX levels were measured at 0.5, 1, 3, 6 and, 24 h after 4 Gy irradiation. The data on γ-H2AX foci (F) at different time points (T) after irradiation were quantitatively modeled by the following equation, where Fbac is the background value prior to irradiation, Fres is the residual value remaining at long times (e.g. 24 h) after irradiation, Kprod is the constant for induction of foci by radiation, and Kdec is the constant for decay of foci after irradiation [20]:

$$ \mathrm{F}={\mathrm{F}}_{\mathrm{bac}}+{\mathrm{F}}_{\mathrm{res}}+{\mathrm{K}}_{\mathrm{prod}}\ T\ \mathit{\exp}\left(-{\mathrm{K}}_{\mathrm{dec}}\ T\ \right) $$
(1)

We used least squares fitting in Maple 2017 software (https://www.maplesoft.com/) as a practical approach for estimating Kdec and Fres, involving curve fitting of each sample data set to Eq. (1). Thus, as we propose below we will use both the decay constant (Kdec) and residual excess fluorescence intensity (Fres) to describe each individual’s DNA DSB Repair Capacity.

Results

Development of IFC-based high throughput γ-H2AX assay

We have developed a simple and rapid IFC-based γ-H2AX protocol, comprised of the following four components: (1) Sample preparation of finger-stick sized blood samples (< 100 μL) in 96 well format, (2) Automated cellular image acquisition of immunofluorescent-labelled biomarkers using the ISX MKII system (3) Quantification of γ-H2AX biomarker levels using IDEAS and, (4) Quantitative modeling of DNA repair kinetics in peripheral blood lymphocytes. Figure 1 shows the schematic work flow for the IFC-based γ-H2AX protocol. In general, the immunolabeling protocol is less than 2 h while the acquisition and analysis of each sample (~ 3000 non-apoptotic human lymphocytes) can be finalized within 3 min.

Fig. 1
figure 1

Development of a simple and fast γ-H2AX assay protocol. Fresh blood samples (100 μL) were prepared and cultured in RPMI medium following gamma irradiation. At specific time points up to 24 h after irradiation, whole blood samples were lysed, fixed and stained with γ-H2AX antibody and the nuclei were counter-stained with DRAQ5. Cellular imagery was automatically captured using the ISX INSPIRE™ software that controls the ImageStream®X (ISX) Mark II imaging flow cytometer. All acquired imagery was analyzed by IDEAS® software

Quantification of γ-H2AX levels using IDEAS software

Figure 2 shows the gating strategy to identify γ-H2AX levels in non-apoptotic human lymphocytes from the cell population. The focused cells were gated according to the gradient root mean squared (RMS) feature by visual inspection of cell images in the brightfield channel (Fig. 2a). Single cells were then selected from images according to their area and aspect ratio in the brightfield channel (Fig. 2b) and nucleated cells are selected based on DRAQ5 positivity to exclude the DNA negative cells (Fig. 2c). Given that the level of γ-H2AX in granulocytes is not markedly affected by radiation [36], lymphocytes are gated according to their area on bright field and side scatter for further measurement of the γ-H2AX fluorescence intensity and foci formation (Fig. 2d). Pan-nuclear γ-H2AX stained cells displayed a typical apoptotic pattern (Fig. 3a) which increased with time post irradiation (Fig. 3b), and were thus excluded from the γ-H2AX analysis. For each data point, 8273 ± 317 (mean ± SEM) cells were analyzed from 100 μL of whole blood within 1–2 min. Gamma H2AX yields were measured in 2076 ± 123 non-apoptotic lymphocytes.

Fig. 2
figure 2

Gating strategy for assessing γ-H2AX levels in the IDEAS® software. a Using the Gradient RMS feature in the brightfield (BF) channel, which indicate sharpness of an image, cells with optimal focus were selected. b Using the area and aspect ratio features in the brightfield channel, single cells were selected and doublet events were removed. c DNA positive cells were selected based on DRAQ5 positivity and DNA negative cells were removed. d Lymphocytes were selected based on their size using the BF area and SSC intensity features

Fig. 3
figure 3

Percentages of pan-nuclear γ-H2AX stained cells increase with time in irradiated and non-irradiated cells. a Gating of pan-nuclear γ-H2AX stained cells. b. Percentages of pan-nuclear γ-H2AX stained cells as a function of increasing dose. The data is presented as mean ± SEM

The mean fluorescence intensity of γ-H2AX within nuclear boundary of individual cells was analyzed and exported from the IDEAS® software. The number of γ-H2AX foci was calculated using the spot counting wizard in IDEAS software as shown in Fig. 4. The wizard automatically creates masks based on subsets of cells by visual inspection (e.g. 30 low foci cells and 30 high foci cells – the selection of the cells was conducted by two independent investigators and reached consensus). This final spot mask is composed of three different functions on channel 2 and channel 5: (i) The Spot function identifies spots with a size< 1 pixel and a spot-to-background ratio greater than 4.5; (ii) The Peak function identifies intensity areas from an image with local maxima (bright spots) or minima (dark spots); (iii) The Range function identifies spots in the H2AX image with size < 200 pixels (50 μm2) and aspect ratios between 0 to 1; (iv) Overlapping with DRAQ5 image in channel 5. The representative foci mask is shown in Fig. 4. Finally, the Spot Count feature was calculated to enumerate foci identified by the mask. To test the accuracy of the foci counting, 100 cells were randomly selected and quantified for foci by visual inspection. The difference between the average number of foci by visual inspection and automated foci counting was 15.7% (0.63 foci ±0.07, mean ± SEM). A data analysis template file containing all required masks, features, plots and statistics was generated and applied to all samples using the batch processing option in IDEAS. Using the ISX, dose- and time-dependent γ-H2AX levels corresponding to radiation exposure were measured automatically over 24 h yielding an estimate of global DSB repair capacity as well as a measure of unrepaired DSBs.

Fig. 4
figure 4

Representative images of γ-H2AX foci in human blood lymphocytes irradiated cells with γ-rays (0, 2 and 4 Gy), 1 h after irradiation. Cellular images displayed here show BF, γ-H2AX, γ-H2AX foci mask, DRAQ5 nuclear staining and a composite of γ-H2AX and DRAQ5. The spot counting wizard in the IDEAS® software was used to identify and enumerate γ-H2AX foci in all imagery (40x magnification)

Dose response calibration curve

Figure 5 shows the average dose response for γ-H2AX fluorescence intensity and foci number obtained from 100 μL whole blood samples from four healthy donors, 1 h after 0, 2 and 4 Gy exposures. γ-H2AX intensity plots for non-irradiated human lymphocytes as well as samples irradiated with 2 Gy and 4 Gy γ rays show that γ-H2AX fluorescence intensity is highest in the 4 Gy irradiated cells, as expected (Fig. 5a). Figure 5b shows a linear increase of γ-H2AX fluorescence intensity with increasing radiation dose for the four human donors tested (R2 = 0.9786, p < 0.0001). The mean γ-H2AX foci distribution (Fig. 5c) indicates that the majority of the control, non-irradiated lymphocyte cells had 0 to 1 γ-H2AX foci, whereas the number of foci ranged from 0 to 8 in the irradiated cells. A small number of cells showed 8–10 differentiable foci after exposure to 4 Gy. The results also show that the linear fit for the mean number of γ-H2AX foci/cell increased up to 4 Gy (R2 = 0.8083, p < 0.0001, Fig. 5d), but the linearity was not as robust compared to mean γ-H2AX intensity levels.

Fig. 5
figure 5

Dose-dependent changes of γ-H2AX in human blood lymphocytes 1 h after exposure with 4 Gy γ rays. a Representative distribution of γ-H2AX fluorescence intensity in lymphocytes from a female human donor, F1. b Radiation-induced changes in γ-H2AX mean fluorescence intensity in lymphocytes from 2 female and male donors, F1, F2, M1 and M2. c Distribution of cells with different numbers of γ-H2AX foci in lymphocytes from all donors (error bars represent the SEM). d Radiation-induced changes in γ-H2AX foci number from donors F1, F2, M1 and M2. Each symbol indicates averaged number of γ-H2AX foci for each donor; the fit represents the mean response

Measurement of γ-H2AX yields as a function of time following radiation exposure

Figure 6a shows the time-dependent kinetics for each donor up to 24 h. It can be seen that radiation-induced γ-H2AX levels rapidly increased within 30 min and reached a maximum by ~ 1 h, after which time there was a rapid decline by 6 h, followed by a much slower rate of disappearance up to 24 h. The kinetics γ-H2AX data are presented using the mean fluorescence intensity measurements because the R2 coefficients showed a better fit for this approach, compared to mean foci levels, 0.5 to 24 h post-irradiation (Table 1).

Fig. 6
figure 6

Time-dependent γ-H2AX fluorescence in human blood lymphocytes after 4 Gy irradiation. a Experimental data and model fit of γ-H2AX repair kinetics at 0.5, 1, 3, 6 and 24 h after ex vivo irradiation exposure are presented, based on mean fluorescence intensity; the right panel is zoomed in and plotted logarithmically to better visualize the details of the 0–12 h time-frame. b Each parameter of model fit of γ-H2AX repair kinetics was shown. Kdec is the constant for decay of γ-H2AX foci after irradiation. Fres is the residual value remaining at long times after irradiation

Table 1 Dose response of γ-H2AX fluorescence and foci number at different time points

Figure 6b shows the data analysis for each individual on γ-H2AX yields as a function of time following radiation exposure. Two key parameters, the rate of decay (Kdec) and the yield of residual unrepaired breaks (Fres), were measured to define and quantify the γ-H2AX repair kinetics. Additional file 1 shows time-dependent response of γ-H2AX foci, 0.5 to 24 h post-irradiation. The data show that although the γ-H2AX foci time/dose-dependent repair pattern was similar to the fluorescence intensity endpoint, the foci data did not show any significant difference in repair capacity between the healthy donors.

Discussion

Since it was first demonstrated by Rogakou, Bonner and colleagues that histone H2AX is rapidly phosphorylated on residue serine 139 in cells when DSBs are introduced into the DNA by ionizing radiation [37], the γ-H2AX assay has been widely used as a sensitive molecular marker of DNA damage and DSB repair capacity in a variety of human tissue and cell types [38, 39]. In recent years, the γ-H2AX biomarker has become a powerful tool to monitor DNA DSBs in translational cancer research with the potential to assess the radiosensitivity of prospective radiotherapy patients [5, 40]. The goal of the present work was to develop and optimize the γ-H2AX immunocytofluorescence protocol for high-content screening of double-stranded DNA breaks in finger-stick sized blood samples using IFC. The IFC technique allows fast and accurate analysis of γ-H2AX yields in several thousand cells per sample which would be extremely time consuming using conventional manual immunocytofluorescence protocols. In the present work, we have used our high-throughput IFC-based γ-H2AX assay to measure dose-dependent response and DSB repair kinetics in irradiated human blood samples.

To assess individual DSB repair capacity, radiation-induced γ-H2AX yields were measured for dose/time response in ex-vivo irradiated blood samples taken from four healthy donors (2 male, 2 female). Measurements of γ-H2AX fluorescence intensity and foci number at specific time points up to 24 h after exposure with 0, 2 and 4 Gy gamma rays showed a linear dose-dependent response and pattern of DNA repair, consistent with previous studies [10, 17, 20, 41]. The results highlight that the fluorescence intensity endpoint showed a better dose response compared to foci number given the small difference in foci number between 2 and 4 Gy. The reduced dose-response is likely attributed to the current configuration of our ISX IFC platform which only contains a 40x objective lens for image acquisition. The lower resolution of the 40x lens in comparison to a 60x objective is therefore likely to be responsible for the underestimation of γ-H2AX foci in the irradiated blood lymphocytes. Particularly in cells exposed to higher doses of radiation, there will be many γ-H2AX foci in close proximity to each other, leading to poor differentiation in smaller images with low spatial resolution. Recent studies by Durdik et al. [42] and Parris et al. [43] have shown that increasing the magnification from 40x to 60x together with extended depth of field (EDF) focus stacking option provided a more accurate assessment of foci number throughout the complete nuclear region in human lymphocytes exposed to low-dose ionizing radiation [42] and 2 Gy-irradiated immortalized fibroblasts [43]. Thus, these studies suggest that the 60x + EDF ISX configuration would permit enhanced foci identification thereby allowing better differentiation between the 2 and 4 Gy dose points, and identification of lower doses between 0 and 2 Gy. Further studies are necessary to address the assay dose limits for the sensitivity of the γ-H2AX foci and fluorescence intensity endpoints after ionizing radiation exposure and to expand this work to evaluate individual DNA repair capacity within a larger population.

Quantitative modeling of DNA repair kinetics based on fluorescence intensity showed that the decay constant of γ-H2AX foci after irradiation (Kdec) was not markedly different among donors tested, whereas residual γ-H2AX fluorescence intensity (Fres) was apparently higher in M2 and F2 than in the other two donors (M1 and F1), suggesting that M2 and F2 may have more unrepaired DSB 24 h after irradiation (Fig. 6b). The differences in DSB repair capacity between the 4 healthy donors tested here, show the potential of our high-throughput γ-H2AX assay to measure DNA repair kinetics on an individual-by-individual basis. Quantitative modeling of DNA repair kinetics based on foci number did not show any difference in DSB repair capacity between the four individuals (Additional file 1). This result was probably influenced by the visibly larger “scatter” in the foci data at 24 h, compared with the fluorescence intensity data at 24 h, widening the confidence intervals for Fres based on the foci data. Efforts to improve foci quantification with higher magnification and the use of EDF mentioned above, could enhance the quantification of DSB rejoining kinetics and assess the DSB repair capacity of specific individuals. Recent work by Kroeber et al. [23] showed the capability of the γ-H2AX assay to identify distinct outliers among a large cohort of 136 rectal cancer patients. They suggested that these patients are most probably radiosensitive and may have the highest risk of suffering radiotherapy-related late sequelae [23]. Interestingly, Yin et al. [8] recently reported enhanced DNA repair capacity in the peripheral blood mononuclear cells from a small cohort lung cancer patients tended to be associated with a poor response to radiation therapy, implicating a modulation of DNA repair [8].

It is known that the presence of γ-H2AX is not always linked specifically to DNA damage, but also to other cellular stages such as senescence, cell division or apoptosis [44]. In this case, the multi-spectral nature of IFC technology for γ-H2AX analysis would allow for the expansion to a quantitative multiplexed assay to analyze multiple radiation responsive biomarkers on a single cell. Also, the ability to target specific cell populations as well as eliminate interfering cells or debris will increase the number of cells that can be analyzed and potentially improve the sensitivity of the assay. In the current study, we measured γ-H2AX yields in focused DNA positive lymphocytes population instead of the total leukocytes. It is known that the sensitivity of lymphocytes and granulocytes to radiation are different whereby γ-H2AX levels in lymphocytes increased in a dose-dependent manner after 0–10 Gy γ-ray exposure, whereas levels in granulocytes were unaffected [36]. Further, residual levels of apoptosis in the irradiated samples are a potential confounding factor for the γ-H2AX total fluorescence analysis [45]. IFC image analysis using the IDEAS® software allowed us to automatically detect and eliminate pan-nuclear γ-H2AX stained lymphocytes based on fluorescence intensity and morphology. Pan-nuclear γ-H2AX response has been suggested as a biomarker to distinguish apoptotic cells from DNA damaged cells [46, 47]. We have shown here that the percentage of pan-nuclear γ-H2AX stained lymphocytes increased over time, up to 24 h after 4 Gy exposure (Fig. 3). These observations are consistent with other studies which show the apoptotic response of human lymphocytes upon radiation exposure [48,49,50].

Another advantage of our IFC-based γ-H2AX assay is both reduced assay time and time-to-result. First, our immunolabeling protocol presented here can be completed within 2 h, eliminating the need to prepare peripheral blood mononuclear cells which requires Ficoll gradient purification, an approach that is laborious and time-consuming, and will hamper large-scale population studies [51]. The IFC system is capable of acquiring cellular imagery at high flow rates from samples in suspension, reaching up to 1000 cells/s, making it faster than the automated microscopy systems and avoiding the need to create high quality slides [52].

Overall, further development and validation of the IFC-based γ-H2AX assay system presented in this work will allow for evaluation of DNA damage and DSB repair capacity with increased resolution, sensitivity, accuracy and high-speed image acquisition as compared to traditional flow cytometry and traditional microscope immunohistochemical methods [28, 30]. End-to-end automation of the IFC-based γ-H2AX assay can be achieved with the integration of our RABiT (Rapid Automated Biodosimetry Technology) platform for automated sample preparation from small volumes of blood [35]. Measurements of individual DSB repair capacity within a large population could offer valuable information to advance this high-throughput assay for translational research such as monitoring risk and response among radiotherapy patients.

Conclusions

We have developed a high-throughput IFC-based γ-H2AX assay which is a faster and more efficient technique for assessing global DSB repair capacity. These studies could potentially pave the way for new individualized therapy approaches and new large-scale molecular-epidemiological studies, with the long-term goal of predicting individual radiosensitivity and risk of developing adverse effects related to radiotherapy treatment.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Bau DT, Mau YC, Ding SL, Wu PE, Shen CY. DNA double-strand break repair capacity and risk of breast cancer. Carcinogenesis. 2007;28(8):1726–30.

    Article  CAS  PubMed  Google Scholar 

  2. Ralhan R, Kaur J, Kreienberg R, Wiesmüller L. Links between DNA double strand break repair and breast cancer: accumulating evidence from both familial and nonfamilial cases. Cancer Lett. 2007;248(1):1–17.

    Article  CAS  PubMed  Google Scholar 

  3. Parshad R, Sanford KK. Radiation-induced chromatid breaks and deficient DNA repair in cancer predisposition. Crit Rev Oncol Hematol. 2001;37(2):87–96.

    Article  CAS  PubMed  Google Scholar 

  4. Rube CE, Grudzenski S, Kuhne M, Dong X, Rief N, Lobrich M, et al. DNA double-strand break repair of blood lymphocytes and normal tissues analysed in a preclinical mouse model: implications for radiosensitivity testing. Clin Cancer Res. 2008;14(20):6546–55.

    Article  PubMed  Google Scholar 

  5. Herschtal A, Martin RF, Leong T, Lobachevsky P, Martin OA. A Bayesian approach for prediction of patient Radiosensitivity. Int J Radiat Oncol Biol Phys. 2018;102(3):627–34.

    Article  PubMed  Google Scholar 

  6. Fernet M, Hall J. Genetic biomarkers of therapeutic radiation sensitivity. DNA Repair. 2004;3(8–9):1237–43.

    Article  CAS  PubMed  Google Scholar 

  7. Chistiakov DA, Voronova NV, Chistiakov PA. Genetic variations in DNA repair genes, radiosensitivity to cancer and susceptibility to acute tissue reactions in radiotherapy-treated cancer patients. Acta Oncol. 2008;47(5):809–24.

    Article  CAS  PubMed  Google Scholar 

  8. Yin X, Mason J, Lobachevsky PN, Munforte L, Selbie L, Ball DL, et al. Radiation therapy modulates DNA repair efficiency in peripheral blood mononuclear cells of patients with non-small cell lung Cancer. Int J Radiat Oncol Biol Phys. 2019;103(2):521–31.

    Article  CAS  PubMed  Google Scholar 

  9. Valdiglesias V, Giunta S, Fenech M, Neri M, Bonassi S. gammaH2AX as a marker of DNA double strand breaks and genomic instability in human population studies. Mutat Res. 2013;753(1):24–40.

    Article  CAS  PubMed  Google Scholar 

  10. Redon CE, Dickey JS, Bonner WM, Sedelnikova OA. Gamma-H2AX as a biomarker of DNA damage induced by ionizing radiation in human peripheral blood lymphocytes and artificial skin. Adv Space Res. 2009;43(8):1171–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Pilch DR, Sedelnikova OA, Redon C, Celeste A, Nussenzweig A, Bonner WM. Characteristics of gamma-H2AX foci at DNA double strand breaks sites. Biochem Cell Biol. 2003;81(3):123–9.

    Article  CAS  PubMed  Google Scholar 

  12. Turner HC, Brenner DJ, Chen Y, Bertucci A, Zhang J, Wang H, et al. Adapting the gamma-H2AX assay for automated processing in human lymphocytes. 1. Technological aspects. Radiat Res. 2011;175(3):282–90.

    Article  CAS  PubMed  Google Scholar 

  13. Redon CE, Nakamura AJ, Sordet O, Dickey JS, Gouliaeva K, Tabb B, et al. Gamma-H2AX detection in peripheral blood lymphocytes, splenocytes, bone marrow, xenografts, and skin. Methods Mol Biol. 2011;682:249–70.

    Article  CAS  PubMed  Google Scholar 

  14. Rogakou EP, Boon C, Redon C, Bonner WM. Megabase chromatin domains involved in DNA double-strand breaks in vivo. J Cell Biol. 1999;146(5):905–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Sedelnikova OA, Pilch DR, Redon C, Bonner WM. Histone H2AX in DNA damage and repair. Cancer Biol Ther. 2003;2(3):233–5.

    Article  CAS  PubMed  Google Scholar 

  16. Beels L, Werbrouck J, Thierens H. Dose response and repair kinetics of gamma-H2AX foci induced by in vitro irradiation of whole blood and T-lymphocytes with X- and gamma-radiation. Int J Radiat Biol. 2010;86(9):760–8.

    Article  CAS  PubMed  Google Scholar 

  17. Rothkamm K, Horn S. Gamma-H2AX as protein biomarker for radiation exposure. Ann Ist Super Sanita. 2009;45(3):265–71.

    CAS  PubMed  Google Scholar 

  18. Bhogal N, Kaspler P, Jalali F, Hyrien O, Chen R, Hill RP, et al. Late residual gamma-H2AX foci in murine skin are dose responsive and predict radiosensitivity in vivo. Radiat Res. 2010;173(1):1–9.

    Article  CAS  PubMed  Google Scholar 

  19. Slyskova J, Naccarati A, Polakova V, Pardini B, Vodickova L, Stetina R, et al. DNA damage and nucleotide excision repair capacity in healthy individuals. Environ Mol Mutagen. 2011;52(7):511–7.

    Article  CAS  PubMed  Google Scholar 

  20. Sharma PM, Ponnaiya B, Taveras M, Shuryak I, Turner H, Brenner DJ. High throughput measurement of gammaH2AX DSB repair kinetics in a healthy human population. PLoS One. 2015;10(3):e0121083.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Mumbrekar KD, Goutham HV, Vadhiraja BM, Bola Sadashiva SR. Polymorphisms in double strand break repair related genes influence radiosensitivity phenotype in lymphocytes from healthy individuals. DNA Repair (Amst). 2016;40:27–34.

    Article  CAS  Google Scholar 

  22. Lobachevsky P, Leong T, Daly P, Smith J, Best N, Tomaszewski J, et al. Compromized DNA repair as a basis for identification of cancer radiotherapy patients with extreme radiosensitivity. Cancer Lett. 2016;383(2):212–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Kroeber J, Wenger B, Schwegler M, Daniel C, Schmidt M, Djuzenova CS, et al. Distinct increased outliers among 136 rectal cancer patients assessed by gammaH2AX. Radiat Oncol. 2015;10:36.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Nagel ZD, Engelward BP, Brenner DJ, Begley TJ, Sobol RW, Bielas JH, et al. Towards precision prevention: technologies for identifying healthy individuals with high risk of disease. Mutat Res. 2017;800–802:14–28.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Basiji DA, Ortyn WE, Liang L, Venkatachalam V, Morrissey P. Cellular image analysis and imaging by flow cytometry. Clin Lab Med. 2007;27(3):653.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Basiji D, O'Gorman MR. Imaging flow cytometry. J Immunol Methods. 2015;423:1–2.

    Article  CAS  PubMed  Google Scholar 

  27. Basiji DA. Principles of Amnis imaging flow cytometry. Methods Mol Biol. 2016;1389:13–21.

    Article  PubMed  Google Scholar 

  28. Vorobjev IA, Barteneva NS. Quantitative functional morphology by imaging flow cytometry. Methods Mol Biol. 2016;1389:3–11.

    Article  PubMed  Google Scholar 

  29. Vorobjev IA, Barteneva NS. Temporal heterogeneity in apoptosis determined by imaging flow cytometry. Methods Mol Biol. 2016;1389:221–33.

    Article  PubMed  Google Scholar 

  30. Han Y, Gu Y, Zhang AC, Lo YH. Review: imaging technologies for flow cytometry. Lab Chip. 2016;16(24):4639–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Doan M, Vorobjev I, Rees P, Filby A, Wolkenhauer O, Goldfeld AE, et al. Diagnostic potential of imaging flow cytometry. Trends Biotechnol. 2018;36(7):649–52.

    Article  CAS  PubMed  Google Scholar 

  32. Barteneva NS, Fasler-Kan E, Vorobjev IA. Imaging flow cytometry: coping with heterogeneity in biological systems. J Histochem Cytochem. 2012;60(10):723–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Dias AM, Almeida CR, Reis CA, Pinho SS. Studying T cells N-glycosylation by imaging flow cytometry. Methods Mol Biol. 2016;1389:167–76.

    Article  PubMed  Google Scholar 

  34. Pischel D, Buchbinder JH, Sundmacher K, Lavrik IN, Flassig RJ. A guide to automated apoptosis detection: how to make sense of imaging flow cytometry data. PLoS One. 2018;13(5):e0197208.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Wang Q, Rodrigues MA, Repin M, Pampou S, Beaton-Green LA, Perrier J, et al. Automated triage radiation biodosimetry: integrating imaging flow cytometry with high-throughput robotics to perform the cytokinesis-block micronucleus assay. Radiat Res. 2019;191(4):342–51.

    Article  CAS  PubMed  Google Scholar 

  36. Wang Z, Hu H, Hu M, Zhang X, Wang Q, Qiao Y, et al. Ratio of γ-H2AX level in lymphocytes to that in granulocytes detected using flow cytometry as a potential biodosimeter for radiation exposure. Radiat Environ Biophys. 2014;53(2):283–90.

    Article  CAS  PubMed  Google Scholar 

  37. Rogakou EP, Pilch DR, Orr AH, Ivanova VS, Bonner WM. DNA double-stranded breaks induce histone H2AX phosphorylation on serine 139. J Biol Chem. 1998;273(10):5858–68.

    Article  CAS  PubMed  Google Scholar 

  38. Mah LJ, El-Osta A, Karagiannis TC. gammaH2AX: a sensitive molecular marker of DNA damage and repair. Leukemia. 2010;24(4):679–86.

    Article  CAS  PubMed  Google Scholar 

  39. Leatherbarrow EL, Harper JV, Cucinotta FA, O'Neill P. Induction and quantification of gamma-H2AX foci following low and high LET-irradiation. Int J Radiat Biol. 2006;82(2):111–8.

    Article  CAS  PubMed  Google Scholar 

  40. Ivashkevich A, Redon CE, Nakamura AJ, Martin RF, Martin OA. Use of the gamma-H2AX assay to monitor DNA damage and repair in translational cancer research. Cancer Lett. 2012;327(1–2):123–33.

    Article  CAS  PubMed  Google Scholar 

  41. Wilkins RC, Rodrigues MA, Beaton-Green LA. The application of imaging flow cytometry to high-throughput biodosimetry. Genome Integr. 2017;8:7.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Durdik M, Kosik P, Gursky J, Vokalova L, Markova E, Belyaev I. Imaging flow cytometry as a sensitive tool to detect low-dose-induced DNA damage by analyzing 53BP1 and gammaH2AX foci in human lymphocytes. Cytometry A. 2015;87(12):1070–8.

    Article  CAS  PubMed  Google Scholar 

  43. Parris CN, Adam Zahir S, Al-Ali H, Bourton EC, Plowman C, Plowman PN. Enhanced gamma-H2AX DNA damage foci detection using multimagnification and extended depth of field in imaging flow cytometry. Cytometry A. 2015;87(8):717–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Turinetto V, Giachino C. Multiple facets of histone variant H2AX: a DNA double-strand-break marker with several biological functions. Nucleic Acids Res. 2015;43(5):2489–98.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Turner HC, Shuryak I, Taveras M, Bertucci A, Perrier JR, Chen C, et al. Effect of dose rate on residual gamma-H2AX levels and frequency of micronuclei in X-irradiated mouse lymphocytes. Radiat Res. 2015;183(3):315–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Ding D, Zhang Y, Wang J, Zhang X, Gao Y, Yin L, et al. Induction and inhibition of the pan-nuclear gamma-H2AX response in resting human peripheral blood lymphocytes after X-ray irradiation. Cell Death Discov. 2016;2:16011.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Solier S, Pommier Y. The apoptotic ring: a novel entity with phosphorylated histones H2AX and H2B and activated DNA damage response kinases. Cell Cycle. 2009;8(12):1853–9.

    Article  CAS  PubMed  Google Scholar 

  48. Belloni P, Meschini R, Czene S, Harms-Ringdahl M, Palitti F. Studies on radiation-induced apoptosis in G0 human lymphocytes. Int J Radiat Biol. 2005;81(8):587–99.

    Article  CAS  PubMed  Google Scholar 

  49. Boreham DR, Dolling JA, Maves SR, Siwarungsun N, Mitchel RE. Dose-rate effects for apoptosis and micronucleus formation in gamma-irradiated human lymphocytes. Radiat Res. 2000;153(5 Pt 1):579–86.

    Article  CAS  PubMed  Google Scholar 

  50. Payne CM, Bjore CG Jr, Schultz DA. Change in the frequency of apoptosis after low- and high-dose X-irradiation of human lymphocytes. J Leukoc Biol. 1992;52(4):433–40.

    Article  CAS  PubMed  Google Scholar 

  51. Ismail IH, Wadhra TI, Hammarsten O. An optimized method for detecting gamma-H2AX in blood cells reveals a significant interindividual variation in the gamma-H2AX response among humans. Nucleic Acids Res. 2007;35(5):e36.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Heylmann D, Kaina B. The gammaH2AX DNA damage assay from a drop of blood. Sci Rep. 2016;6:22682.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank Maria Taveras for blood collection. We are also grateful to Matthew A. Rodrigues for valuable discussion of this work.

Funding

This work was supported by the Center for High-Throughput Minimally-Invasive Radiation Biodosimetry, National Institute of Allergy and Infectious Diseases (grant number U19AI067773).

Author information

Authors and Affiliations

Authors

Contributions

YL, HCT, and DJB designed the study. Funding was obtained by DJB. YL, QW and HCT established a protocol for IFC-based γ-H2AX assay. YL and QW performed IFC-based γ-H2AX assay. IS performed modeling of DNA repair kinetics. IS and YL carried out statistical analysis. YL, QW, IS and HCT wrote the manuscript. All authors reviewed and approved the manuscript.

Corresponding author

Correspondence to Younghyun Lee.

Ethics declarations

Ethics approval and consent to participate

All procedures involving human participants have been performed in accordance with the Declaration of Helsinki and approved by the Columbia University Medical Center Institutional Review Board (IRB protocol IRB-AAAE-2671). Written informed consent was obtained from all donors.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Time-dependent γ-H2AX foci yields in human blood lymphocytes after 4 Gy irradiation. (A) Experimental data and model fit of γ-H2AX repair kinetics at 0.5, 1, 3, 6 and 24 h after ex vivo irradiation exposure are presented, based on foci number; the right panel is the zoomed picture for 0–12 h with a logarithmic time scale which helps to visualize early time points. (B) Each parameter of model fit of γ-H2AX repair kinetics was shown. Kdec is the constant for decay of γ-H2AX foci after irradiation. Fres is the residual value remaining at long times after irradiation. (DOCX 130 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lee, Y., Wang, Q., Shuryak, I. et al. Development of a high-throughput γ-H2AX assay based on imaging flow cytometry. Radiat Oncol 14, 150 (2019). https://doi.org/10.1186/s13014-019-1344-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13014-019-1344-7

Keywords