Leukocyte endothelial adhesion was assessed through a novel cell-based assay using human lymphoblastoid cell lines. A high-throughput screening method was developed to evaluate the inter-individual variability in leukocyte endothelial adhesion using lymphoblastoid cell lines derived from different donors. To assess heritability, ninety-two lymphoblastoid cell lines derived from twenty-three monozygotic twin pairs and twenty-three sibling pairs were compared. These lymphoblastoid cell lines were plated with the endothelial cell line EA.hy926 and labeled with Calcein AM dye. Fluorescence was assessed to determine endothelial cell adhesion to each lymphoblastoid cell line. Intra-pair similarity was determined for monozygotic twins and siblings using Pearson pairwise correlation coefficients.
A leukocyte endothelial adhesion assay for lymphoblastoid cell lines was developed and optimized (CV = 8.68, Z′-factor = 0.67, SNR = 18.41). A higher adhesion correlation was found between the twins than that between the siblings. Intra-pair similarity for leukocyte endothelial adhesion in monozygotic twins was 0.60 compared to 0.25 in the siblings. The extent to which these differences are attributable to underlying genetic factors was quantified and the heritability of leukocyte endothelial adhesion was calculated to be 69.66% (p-value<0.0001).
Citation: Grassi MA, Rao V, Winkler KP, Zhang W, Bogaard JD, Chen S, et al. (2014) Genetic Variation Is the Major Determinant of Individual Differences in Leukocyte Endothelial Adhesion. PLoS ONE 9(2): e87883. https://doi.org/10.1371/journal.pone.0087883
Editor: Gerard Pasterkamp, University Medical Center Utrecht, Netherlands
Received: August 14, 2013; Accepted: January 6, 2014; Published: February 10, 2014
Copyright: © 2014 Grassi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: We gratefully acknowledge support from the following organizations for this research: NIH K08 EY019089-02, National Eye Institute Core Grant EY001792 for Vision Research and an unrestricted grant from Research to Prevent Blindness, Inc., New York, NY. RSH received support from NIH/NIGMS grant K08GM089941, NIH/NCI Grant R21 CA139278, NIH/NIGMS Pharmacogenomics of Anticancer Agents grant U01GM61393, the University of Chicago Breast Cancer SPORE Career Development Award, the University of Chicago Cancer Center Support Grant (#P30 CA14599) and the National Center for Advancing Translational Sciences of the NIH [UL1RR024999]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Leukocyte endothelial adhesion has been implicated as a key disease process in many conditions of major public health import such as multiple sclerosis, atherosclerosis, inflammatory bowel disease, diabetic retinopathy, malignancy, pulmonary edema, rheumatoid arthritis, and stroke , . Attempts to target leukocyte trafficking as a treatment for these conditions have been successful, but often have serious complications given the multiple off-target effects of many of these drugs e.g. prednisone , . Leukocyte–endothelial interactions are primarily attributed to cell-surface adhesion molecules including the integrins, members of the IgG superfamily, and selectins. There remain many other, yet undefined, molecules and signaling pathways that mediate leukocyte endothelial adhesion . Improved characterization of the molecular underpinnings of leukocyte endothelial adhesion could have far reaching biomedical impact as it may improve therapeutic targeting and specificity for many common diseases. Genomic studies may have the capability of accomplishing this goal, but require there to be an underlying genetic basis for leukocyte endothelial adhesion.
Corroborating lines of evidence suggest that genetic variability contributes to differences in leukocyte endothelial adhesion. For instance, it has been shown that the expression of cell surface adhesion molecules on endothelial cells varies between individuals  and is highly heritable. Rainwater et al. demonstrated that in the setting of TNF-α there is a significant genetic contribution to the expression of E-selectin, VCAM, and ICAM-1 . Moreover, hematologic malignancies like leukemia caused by underlying chromosomal re-arrangements reveal differential gene expression of adhesion molecules resulting in altered endothelial adhesion . For instance, in Burkitt lymphoma endothelial adhesion is significantly decreased . Findings in a rare Mendelian condition, leukocyte adhesion deficiency, also suggest that there is a genetic component to leukocyte endothelial adhesion. Leukocyte adhesion deficiency is an immunodeficiency characterized by severe recurrent bacterial infections . The condition is caused by a lack of leukocyte β-2 integrins that produce an impairment of leukocyte interactions necessary to fight infection. A broad clinical range of leukocyte adhesion deficiency exists that correlates with the severity of the pathogenic mutation. Similarly, individuals with Down's syndrome (Trisomy 21) have a genetic basis for their enhanced adhesive characteristics in comparison to normal subjects . Trisomy 21 leukocytes demonstrate increased expression of CD18 integrin, which is found on chromosome 21 . Taken together these findings suggest that there may be a significant underlying genetic component that contributes to differences in leukocyte endothelial adhesion.
To explore the hypothesis that inter-individual genetic variability contributes to differences in leukocyte endothelial adhesion we assessed adhesion in monozygotic twins and compared them to matched sibling pairs. We quantified the extent to which these differences are attributable to underlying genetic factors ,  to determine the heritability of leukocyte endothelial adhesion.
Materials and Methods
Participants gave written informed consent. The University of Illinois at Chicago Institutional Review Board approved all protocols and informed consent documents in accordance with federal regulations and the principles expressed in the Declaration of Helsinki.
Cell lines and Cell culture
Ninety–two lymphoblastoid cell lines (twenty-three monozygotic twin pairs and twenty-three sibling pairs) were purchased from Coriell Institute for Medical Research (http://ccr.coriell.org/) (Table S1). The minimum number of lymphoblastoid cell lines pairs required for the study was estimated as previously described . Monozygotic twin cell lines used in the study were GM14381, GM14382, GM14405, GM14406, GM14414, GM14417, GM14432, GM14433, GM14452, GM14453, GM14467, GM14468, GM14478, GM14479, GM14506, GM14507, GM14520, GM14521, GM14568, GM14569, GM14581, GM14582, GM14408, GM14409, GM14447, GM14448, GM14592, GM14593, GM14474, GM14475, GM14503, GM14504, GM14532, GM14533, GM14535, GM14536, GM14583, GM14584, GM14476, GM14477, GM14480, GM14481, GM14495, GM14496, GM14501, GM14502. The sibling cell lines used in the study were GM7004, GM07012, GM07044, GM7052, GM07343, GM07344, GM11922, GM11923, GM11982, GM11983, GM11985, GM11986, GM11997, GM11999, GM12036, GM12038, GM12104, GM12105, GM12147, GM12149, GM12150, GM12157, GM11834, GM11841, GM12047, GM12048, GM07351, GM07352, GM14666, GM14672, GM14661, GM14662, GM14682, GM14704, GM12328, GM12265, GM11871, GM11872, GM13117, GM13118, GM12276, GM12277, GM07023, GM07059, GM07062, GM07053. Sibling pairs were all comprised of full siblings. Ramos, a Burkitt Lymphoma cell line obtained from ATCC (CRL-1596, ATCC, Manassas, VA) was a kind gift from Dr. Chandran (Rosalind Franklin University, North Chicago, IL). A Trisomy 21 lymphoblastoid cell line, GM03716, was purchased from Coriell cell repositories (Camden, New Jersey). U937, a monocytic cell line, and EA.hy926, a transformed endothelial cell line, were obtained from ATCC (American Type Culture Collection, Manassas, VA). Peripheral blood mononuclear cells were obtained from a healthy control donor.
Leukocyte-Endothelial Cell Adhesion Assay
Lymphoblastoid cell lines were plated on the endothelial cell line EA.hy926 to test their adhesion. EA.hy926 cells were counted using the Beckman coulter counter, plated at a density of 12,000 cells/well in flat clear bottom black 96-well plates (Corning, Acton, MA), and cultured to confluency for 48 hours. On the day of the assay, lymphoblastoid cell lines or peripheral blood mononuclear cells were suspended in RPMI 1640 with 10% FBS at a concentration of 8×105 cells/mL and incubated with 2 µM Calcein AM for 30 min at 37°C. The cells were collected and subjected to three washes with PBS (1X, Gibco, Life technologies, Grand Island, NY) to remove the free Calcein AM. Calcein AM labeled cells were added at a density of 50,000 cells/well on top of confluent monolayer cultures of EA.hy926 cells in 96-well plates and incubated for 30 min at 37°C. Nonadherant cells were removed by an optimized automated wash protocol adapted using the EP3 liquid handling system. Calcein AM fluorescence in the labeled cells was assessed by the high content imager Acumen at an excitation and emission wavelength of 485/535 nm before and after each wash. Endothelial adhesion for each cell line was determined by measuring the total area of fluorescence in relative fluorescence units (RFU) of each well following the third wash. The (%) remaining RFU/Input was determined by the following formula: [Total area of fluorescence (RFU) following third wash / Total area of fluorescence (RFU) before wash] ×100. A standard curve for lymphoblastoid cell lines, peripheral blood mononuclear cells, and the control cell lines (Trisomy lymphoblastoid cell line, U937, and Ramos) was generated using known concentrations of respective cell lines and fitting to a four parametric logistic curve (Figure S1). The % adherent cells were derived from the standard curve. The leukocyte endothelial adhesion (LEA) of each lymphoblastoid cell line was represented as either (%) of input relative fluorescent units (RFU) or (%) of input cell number.
A mean, standard deviation, and coefficient of variation (CV) of leukocyte endothelial adhesion for each lymphoblastoid cell line was calculated. Plates included positive and negative controls for quality control. Positive controls were a Trisomy 21 lymphoblastoid cell line that also provided a reference for the control of inter-plate variability. Ramos, a Burkitt lymphoma cell line, served as an additional positive control. The negative controls were EA.hy926 cells alone. A Z′-factor and CV for each plate was determined. A composite Z′-factor was determined to assess the overall robustness of the assay using the equation with Trisomy 21 as the positive control and Ramos as the negative control. A Z′-factor of >0.5 is equivalent to a separation of 12 standard deviations between and .
Intra-pair similarity was determined for monozygotic twins and siblings using the interclass correlation coefficient (ICC). Heritability was estimated by using the twinan90 function in the R package . Sibling pairs were treated as dizygotic twins and heritability was estimated using the equation, , where r corresponds to the interclass correlation coefficient of twin and sibling pairs respectively . We performed 10,000 simulations by randomizing the samples to generate a null distribution. We estimated an empirical p-value for the heritability. Linear Pearson's correlation coefficient (r) was used to determine the contributions of potential confounders e.g., subject age, gender, cell growth rate, ethnicity and transformation time. Statistical calculations and graphing were performed using Intercooled Stata 8 (Stata Corp., College Station, TX).
Adhesion assay development, optimization and validation
We developed and optimized a leukocyte endothelial adhesion assay for lymphoblastoid cell lines (CV = 8.68, Z′-factor = 0.67, SNR = 18.41). Specifically, we have successfully converted this assay onto a 96-well plate platform amenable to robotic screening. The advantage of this format is that it affords a high degree of consistency and repeatability between runs (Figure 1). A 96-well plate platform is particularly advantageous for this experiment given the large numbers of samples that were utilized. A total of 8 technical replicates were performed to determine the leukocyte endothelial adhesion of each lymphoblastoid cell line. For a given plate, standard deviations and coefficients of variation significantly less than 10% suggest that there is little variability between replicates of a given cell line. In addition, we calculated a Z′-factor of 0.67 for the assay, suggesting that the assay is excellent from the standpoint of quality control. The Z′-factor is a measure of the statistical effect that assesses the suitability of a particular assay for use in a full-scale high-throughput screen by essentially comparing the range between the positive vs. the negative control samples. In order to control for plate-to-plate variability, samples were standardized based on the adhesion of the Trisomy 21 lymphoblastoid cell line and the adhesion of the U937 monocytic cell line on each plate. For instance, the leukocyte endothelial adhesion of lymphoblastoid cell line GM14581 was tested in three different plates and its ratio of adhesion relative to the Trisomy 21 cell line was 0.64, 0.67 and 0.68 respectively. Standardized coefficients for the same cells (GM14581, Ramos and U937) on different plates did not demonstrate a statistically significant difference (p-value = 0.62).
Number of cells is the percentage remaining after three washes. The assay reveals a large dynamic range between the Burkitt lymphoma Ramos cell line (negative control) and the Trisomy 21 lymphoblastoid cell line (positive control). Consistent with other reports, peripheral blood mononuclear cells demonstrated approximately 5–10% adhesion. Percentages were derived based on conversion of relative fluorescent units from a standardized curve.
The assay demonstrates a large dynamic range, with close to a 7-fold difference, evident between the control cell lines, namely the low adhesive Burkitt lymphoma Ramos line and the highly adhesive Trisomy 21 lymphoblastoid cell lines (Figure 1). Specifically, in terms of leukocyte endothelial adhesion the Ramos line revealed 5% of cells remaining whereas over 35% of the Trisomy 21 cells were remaining following three washes. Normal lymphoblastoid cell lines fell in the middle of this range. Peripheral blood mononuclear cells revealed 5–10% adhesion, consistent with prior reports , , .
Inter-individual Variation in Leukocyte Endothelial Adhesion
Using twenty unrelated lymphoblastoid cell lines generated from normal subjects, we measured their leukocyte endothelial adhesion in order to estimate the inter-individual variability obtained through our high-throughput assay. Figure 2 reveals the range of adhesion in normal lymphoblastoid cell lines. Specifically the range was from 22.42–62.12% input RFU with a mean of 40.25% (std. dev. ±10.37), and a median of 39.80%.
Leukocyte endothelial adhesion was assessed in 20 unrelated lymphoblastoid cell lines. For each cell line, 8 technical replicates were obtained per plate. The figure reveals inter-lymphoblastoid cell line differences in leukocyte endothelial adhesion with a range from 22.42–61.12% input RFU, a mean of 40.25% (std. dev. ±10.37), and a median of 39.80%. Minimal variability is evident in the assay with a CV of less than 10% (CV = 8.68, Z′-factor = 0.67, SNR = 18.41).
Heritability of Leukocyte Endothelial Adhesion
We were interested to assess the extent to which genetic factors contributed to inter-individual differences in leukocyte endothelial adhesion. We performed a heritability study for leukocyte endothelial adhesion utilizing lymphoblastoid cell lines derived from identical twins and those derived from matching sibling pairs. The hypothesis was that there would be greater correlation between the adhesion of the identical twins than that of the sibling pairs. Summarized subject data are reported in Table S1. Figure 3 reveals that this was indeed the case. Figure 3 demonstrates the leukocyte endothelial adhesion for each pair of lymphoblastoid cell lines. A higher correlation in adhesion was observed between the twins (Fig. 3A) than in the siblings (Fig. 3B) with an intra-pair similarity for leukocyte endothelial adhesion in monozygotic twins of 0.60 compared to 0.25 in the sibling pairs. The extent of heritability is essentially an extension of the excess correlation seen in monozygotic twins versus sibling pairs. We quantified the extent to which these differences are attributable to underlying genetic factors ,  and found the heritability of leukocyte endothelial adhesion to be 69.66% (p-value<0.0001) (Fig. 3C), meaning that essentially 70% of the variability in leukocyte endothelial adhesion between individuals can be attributed to genetic factors.
Figure 3A shows the correlation in adhesion of 23 monozygotic twin pairs compared to 23 matched sibling pairs (Figure 3B). Axes represent the % of adherent cells based on RFU, with each axis corresponding to one of the two subjects for a given pair. A higher mean correlation is seen in the identical twins (ICCMZ 0.60) as compared to the siblings (ICCSIB 0.25). The resultant heritability had an empirical p-value<0.0001 based on 10,000 simulations by randomizing the samples to generate a null distribution (Figure 3C). The round dot represents the observed heritability value from our study.
Role of confounding factors
It is certainly possible, though, that confounding factors contribute to differences in leukocyte endothelial adhesion between lymphoblastoid cell lines. In Figure 4, we sought to identify non-genetic factors that could potentially confound our analysis. We assessed whether or not there was any correlation of leukocyte endothelial adhesion for 20 unrelated individuals with subject age (Figure 4A), gender (Figure 4B), cell growth rate (Figure 4C) transformation time (Figure 4D) and ethnicity (Figure 4E). Subject age (p-value = 0.71), gender (p-value = 0.23), transformation time (p-value = 0.49), cell growth rate (p-value = 0.94) and ethnicity (p-value = 0.49) all had no correlation with endothelial adhesion. Sample constraints prevented matching the two groups exactly based ethnicity. There is a suggestion in the literature that there may be some variation in adhesion based on ethnicity , . In hindsight, this observation is not surprising in light of our heritability analysis as ethnicity is a crude measure of genetic background. In this study we observed no difference in mean adhesion between white and Black subjects. More importantly, from the standpoint of confounding there was also no ethnic based difference in the variance of adhesion (p-value = 0.57). A literature search did not reveal any other covariates known to influence leukocyte endothelial adhesion.
In 4A, we explored the role of subject age on leukocyte endothelial adhesion. No correlation was observed (p-value = 0.77). Figure 4B stratifies adhesion by gender. As found in prior studies leukocyte endothelial adhesion is slightly decreased in women, although this was not statistically significant in our cohort (p-value = 0.23). In figure 4C we determined if the duration of lymphoblastoid cell line generation from peripheral blood mononuclear cell affected the adhesion and found no correlation. In 4D we assessed the impact of cell culture growth on adherence. Lymphoblastoid cell line slow culture growers with a doubling time of seven days are represented by ++ and fast culture growers with a doubling time of 3 days are represented by +++. We found that cell cutlure growth conditions did not affect adhesion (p-value = 0.85). In figure 4E we assesed the effect of ethnicity on LEA and observed that ethnicity had no effect on LEA (p-value = 0.49).
The leukocyte endothelial adhesion assay we developed is able to sensitively and reproducibly detect differences in leukocyte adhesion to endothelial cell monolayers. This novel high-throughput assay was able for the first time to reveal the extent to which the important biological property of leukocyte endothelial adhesion is impacted by genetic variation.
Lymphoblastoid cell lines have evolved into a powerful model system for functional population-based studies in humans. Lymphoblastoid cell lines are transformed cell lines derived from a subject's circulating B-lymphocytes. They were originally generated as a perpetual resource of a specific subject's DNA. Given the associated difficulties with maintenance, storage, collection, and the control of confounding variables in clinical samples, they have evolved into a popular model system , . In large part this trend is due to the fact that lymphoblastoid cell lines to date are the only feasible and cost-effective method to conduct functional, cellular or molecular assays in large population-based human studies. As a cell line, environmental factors can be controlled between lines, which removes many confounders that are routinely found in clinical samples. Hence, transformation of clinical samples into lymphoblastoid cell lines provides convenience, replicability, and environmental uniformity.
In this study, we sought to explore the feasibility of using lymphoblastoid cell lines to assess the heritability of leukocyte endothelial adhesion. It was first necessary to create a high-throughput assay for leukocyte endothelial adhesion that would enable us to compare the adhesion of multiple different cell lines. We developed a robust assay (Z′-factor = 0.67). The excellent Z′-factor suggests that the variability introduced by the washing step in other high-throughput assays was not an issue in our assay .
To our knowledge the present paper is the first study to determine the heritability of leukocyte endothelial adhesion. Current approaches have the power to reveal the genetic network underlying this trait. For these genetic tools to work, though, there must be a heritable basis to leukocyte endothelial adhesion. A substantial body of literature implicates genetic variation as a basis for differential leukocyte adhesion ,  in conditions that include chromosomal alterations , Mendelian conditions , and complex disease . In this study, we quantitate the extent that genetic factors contribute to inter-individual variability in leukocyte endothelial adhesion. By comparing leukocyte endothelial adhesion between monozygotic twins and matched sibling pairs, we found that 70% of the variation in leukocyte endothelial adhesion is due to underlying genetic factors.
The use of lymphoblastoid cell lines is a potential limitation of this study, though. An issue regarding the use of lymphoblastoid cell lines is the extent to which they serve as relevant surrogates for different primary tissues. Previous work has demonstrated the broad translatability of studies with lymphoblastoid cell lines , in particular for complex traits in which white blood cells are the most relevant human tissue as in leukocyte endothelial adhesion or the diseases of type 1 diabetes, Crohn's disease, and multiple sclerosis , . While endothelial cells are important in mediating leukocyte endothelial adhesion and there are unique molecular features specific to endothelial cells , , it is their interaction with white blood cells that results in the leukocyte endothelial adhesion phenotype . Hence, it is likely that many of the genetic factors influencing leukocyte endothelial adhesion can be identified with lymphoblastoid cell lines alone.
A persistent concern about the usefulness of lymphoblastoid cell lines is that changes associated with the Epstein-Barr virus transformation reduce their value and relevance as a model. The virus transformation of primary white blood cells does change some of the cellular properties within the lymphoblastoid cell lines . The Epstein-Barr virus transformation induces a shift in white blood cells to an activated state , . Caliskan et al.  identified an enrichment of gene expression for the pathways of transcription regulation, cell cycle control, and immune response in the lymphoblastoid cell lines. A standard component of leukocyte endothelial adhesion assays is the external activation of endothelial cells with agents such as interleukin-1β or TNF-α to facilitate leukocyte adhesion. In our studies, exogenous addition of these agents did not improve lymphoblastoid cell line adhesion, likely due to the activated state of the lymphoblastoid cell lines . There is also concern that over time lymphoblastoid cell lines may change cellular properties. In studies by Im et al. of 540 HapMap lymphoblastoid cell lines, differences in cellular growth rate were observed when lymphoblastoid cell line populations that were obtained at different times were compared . It is possible that there may be age and generation dependent effects on activity or expression of cellular mediators with lymphoblastoid cell lines. We did not find adhesion to be confounded by lymphoblastoid cell line-specific factors.
Adhesion in lymphoblastoid cell lines demonstrates similar variation observed in primary leukocytes. In our experiments, we observed, that the Burkitt lymphoma cell lines show the least endothelial adhesion while Trisomy 21 lymphoblastoid cells bind the highest compared to the lymphoblastoid cell lines derived from 92 normal subjects. A study comparing the expression of adhesion molecules as determined by flow cytometry in lymphoblastoid cell lines generated from normal peripheral blood mononuclear cells and Burkitt lymphoma cell lines demonstrated that the normal lymphoblastoid cell lines express higher levels of integrins, including integrin alpha 4 beta 1, leukocyte function associated antigen LFA-1, and integrin alpha 5 beta 3 as well as enhanced expression of the IgG superfamily adhesion molecules, like ICAM-1, and leukocyte function associated antigen type 3, and, glycoproteins like L-selectin and CD34 . This is consistent with our observation of less adhesion of Burkitt lymphoma cell lines than the normal lymphoblastoid cell lines. The increased adhesion seen in Down's syndrome is thought to be due to over-expression of the CD18 integrin found on chromosome 21 . Thus, lymphoblastoid cell lines appear to maintain the majority of factors that influence the unique endothelial adhesion of their primary leukocytes.
Another potential limitation is the use of an immortalized endothelial cell line. EA.hy926 is one of the best-characterized and most frequently used endothelial cell lines . It is a product of the fusion of human umbilical vein endothelial cells and human lung carcinoma line A549. It is contact inhibited in growth and expresses von Willebrand factor. It is a transformed endothelial cell line that expresses intercellular adhesion molecule 1, vascular cell adhesion molecule 1, and E-selectin . Given its similar leukocyte binding properties to human umbilical vein endothelial cells, EA.hy926 is frequently used in adhesion assays . EA.hy926 has the distinct advantage for this study of homogeneity unlike human umbilical vein endothelial cells, or other primary cell lines, which are harvested from multiple donors  and suffer from lot to lot variability. The introduction of such variability would be problematic for a genetic study of this nature.
There are several strengths of this study. The assay was implemented on a high- throughput platform with very little intra-individual or inter-plate variability. Access to a large cohort of monozygotic twin and sibling pair lines enabled us to confidently identify leukocyte endothelial adhesion as a heritable trait. Heritability is the best statistic for the representation of the genetic contribution to phenotypic variance . In particular, the use of identical twins and sibling pairs allows one to assume that the total variation introduced by the common environment shared by family members is equal . We were able to exclude systematic underlying confounding factors including age, gender , ethnicity ,  and cell culture conditions , . Finally, while there have been many other studies that have obliquely suggested the heritability of this trait, this is the first one to our knowledge that was designed to directly assess and quantify it.
In summary, there is a major heritable component to leukocyte endothelial adhesion. Genetic predisposition appears to play a significant role in inter-individual variability of leukocyte endothelial adhesion. As such, future genetic studies should be able to identify those key molecular elements that regulate this important cellular trait.
Standard curves for cell lines. Four parametric logistic curves of (A) Trisomy 21 lymphoblastoid cell line (B) Ramos Burkitt lymphoma (C) GM14581 a reperesentative twin lymphoblastoid cell line (D) U937 a monocytic leukemic cell line (E) and peripheral blood mononuclear cells (PBMC) were generated using known concentration Calcein AM labeled cells. On the x-axis is the known concentration of cells lines and on the Y- Axis are the relative fluorescence units. The standard curve generated was used to deduce the adherent cells that remained following washes.
The authors would like to thank Dr. Graeme Bell for many helpful discussions; the Pharmacogenetics of Anticancer Agents Research Group for providing lymphoblastoid cell lines; Dr. Chandran of Rosalind Franklin University in North Chicago, IL for providing the Burkitt lymphoma cell lines; Sam Bettis and Rita Grantner of the Institute for Genomics and Systems Biology for assistance in running the assay; and Dr. Qing Chang, PhD, for assistance in designing the assay.
Conceived and designed the experiments: MAG. Performed the experiments: MAG VR KPW SC BL DL. Analyzed the data: WZ JDB. Contributed reagents/materials/analysis tools: WZ RSH. Wrote the paper: MAG. Contributed to discussion and interpretation of results: NJC ABM JR RSH.
- 1. Pate M, Damarla V, Chi DS, Negi S, Krishnaswamy G (2010) Endothelial cell biology: role in the inflammatory response. Advances in clinical chemistry 52: 109–130.
- 2. Ulbrich H, Eriksson EE, Lindbom L (2003) Leukocyte and endothelial cell adhesion molecules as targets for therapeutic interventions in inflammatory disease. Trends in pharmacological sciences 24: 640–647.
- 3. Luster AD, Alon R, von Andrian UH (2005) Immune cell migration in inflammation: present and future therapeutic targets. Nature immunology 6: 1182–1190.
- 4. Carlos TM, Harlan JM (1994) Leukocyte-endothelial adhesion molecules. Blood 84: 2068–2101.
- 5. Bharadwaj A, Appukuttan B, Wilmarth PA, Pan Y, Stempel AJ, et al. (2012) Role of the retinal vascular endothelial cell in ocular disease. Progress in retinal and eye research
- 6. Rainwater DL, Shi Q, Mahaney MC, Hodara V, Vandeberg JL, et al. (2010) Genetic regulation of endothelial inflammatory responses in baboons. Arteriosclerosis, thrombosis, and vascular biology 30: 1628–1633.
- 7. Lucio PJ, Faria MT, Pinto AM, da Silva MR, Correia Junior ME, et al. (1998) Expression of adhesion molecules in chronic B-cell lymphoproliferative disorders. Haematologica 83: 104–111.
- 8. Rincon J, Prieto J, Patarroyo M (1992) Expression of integrins and other adhesion molecules in Epstein-Barr virus-transformed B lymphoblastoid cells and Burkitt's lymphoma cells. International journal of cancer Journal international du cancer 51: 452–458.
- 9. el Habbal MH, Strobel S (1993) Leucocyte adhesion deficiency. Archives of disease in childhood 69: 463–466.
- 10. Taylor GM, Haigh H, Williams A, D'Souza SW, Harris R (1988) Down's syndrome lymphoid cell lines exhibit increased adhesion due to the over-expression of lymphocyte function-associated antigen (LFA-1). Immunology 64: 451–456.
- 11. Wen Y, Gorsic LK, Wheeler HE, Ziliak DM, Huang RS, et al. (2011) Chemotherapeutic-induced apoptosis: a phenotype for pharmacogenomics studies. Pharmacogenetics and genomics 21: 476–488.
- 12. Vanscoy LL, Blackman SM, Collaco JM, Bowers A, Lai T, et al. (2007) Heritability of lung disease severity in cystic fibrosis. American journal of respiratory and critical care medicine 175: 1036–1043.
- 13. Visscher PM (2004) Power of the classical twin design revisited. Twin Res 7: 505–512.
- 14. Williams CJ, Christian JC, Norton JA Jr (1992) TWINAN90: a FORTRAN program for conducting ANOVA-based and likelihood-based analyses of twin data. Comput Methods Programs Biomed 38: 167–176.
- 15. Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics. Essex, England: Longman. xiii, 464 p. p.
- 16. Zhang DH, Marconi A, Xu LM, Yang CX, Sun GW, et al. (2006) Tripterine inhibits the expression of adhesion molecules in activated endothelial cells. Journal of leukocyte biology 80: 309–319.
- 17. Murphy JF, Bordet JC, Wyler B, Rissoan MC, Chomarat P, et al. (1994) The vitronectin receptor (alpha v beta 3) is implicated, in cooperation with P-selectin and platelet-activating factor, in the adhesion of monocytes to activated endothelial cells. The Biochemical journal 304 (Pt 2) 537–542.
- 18. Lutsey PL, Cushman M, Steffen LM, Green D, Barr RG, et al. (2006) Plasma hemostatic factors and endothelial markers in four racial/ethnic groups: the MESA study. Journal of thrombosis and haemostasis : JTH 4: 2629–2635.
- 19. Miller MA, Sagnella GA, Kerry SM, Strazzullo P, Cook DG, et al. (2003) Ethnic differences in circulating soluble adhesion molecules: the Wandsworth Heart and Stroke Study. Clinical science 104: 591–598.
- 20. Niu N, Qin Y, Fridley BL, Hou J, Kalari KR, et al. (2010) Radiation pharmacogenomics: a genome-wide association approach to identify radiation response biomarkers using human lymphoblastoid cell lines. Genome research 20: 1482–1492.
- 21. Welsh M, Mangravite L, Medina MW, Tantisira K, Zhang W, et al. (2009) Pharmacogenomic discovery using cell-based models. Pharmacological reviews 61: 413–429.
- 22. Park JY, Arnaout MA, Gupta V (2007) A simple, no-wash cell adhesion-based high-throughput assay for the discovery of small-molecule regulators of the integrin CD11b/CD18. Journal of biomolecular screening 12: 406–417.
- 23. Miyamoto K, Khosrof S, Bursell SE, Moromizato Y, Aiello LP, et al. (2000) Vascular endothelial growth factor (VEGF)-induced retinal vascular permeability is mediated by intercellular adhesion molecule-1 (ICAM-1). The American journal of pathology 156: 1733–1739.
- 24. Bullaughey K, Chavarria CI, Coop G, Gilad Y (2009) Expression quantitative trait loci detected in cell lines are often present in primary tissues. Human molecular genetics 18: 4296–4303.
- 25. Nicolae DL, Gamazon E, Zhang W, Duan S, Dolan ME, et al. (2010) Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS. PLoS Genet 6: e1000888.
- 26. Grundberg E, Small KS, Hedman AK, Nica AC, Buil A, et al. (2012) Mapping cis- and trans-regulatory effects across multiple tissues in twins. Nature Genetics 44: 1084–1089.
- 27. Browning AC, Halligan EP, Stewart EA, Swan DC, Dove R, et al. (2012) Comparative gene expression profiling of human umbilical vein endothelial cells and ocular vascular endothelial cells. The British journal of ophthalmology 96: 128–132.
- 28. Smith JR, Chipps TJ, Ilias H, Pan Y, Appukuttan B (2012) Expression and regulation of activated leukocyte cell adhesion molecule in human retinal vascular endothelial cells. Exp Eye Res 104: 89–93.
- 29. Serra AM, Waddell J, Manivannan A, Xu H, Cotter M, et al. (2012) CD11b+ bone marrow-derived monocytes are the major leukocyte subset responsible for retinal capillary leukostasis in experimental diabetes in mouse and express high levels of CCR5 in the circulation. Am J Pathol 181: 719–727.
- 30. Caliskan M, Cusanovich DA, Ober C, Gilad Y (2011) The effects of EBV transformation on gene expression levels and methylation profiles. Human molecular genetics 20: 1643–1652.
- 31. Choy E, Yelensky R, Bonakdar S, Plenge RM, Saxena R, et al. (2008) Genetic analysis of human traits in vitro: drug response and gene expression in lymphoblastoid cell lines. PLoS genetics 4: e1000287.
- 32. Rochford R, Cannon MJ, Sabbe RE, Adusumilli K, Picchio G, et al. (1997) Common and idiosyncratic patterns of cytokine gene expression by Epstein-Barr virus transformed human B cell lines. Viral immunology 10: 183–195.
- 33. Olson JA, Whitelaw CM, McHardy KC, Pearson DW, Forrester JV (1997) Soluble leucocyte adhesion molecules in diabetic retinopathy stimulate retinal capillary endothelial cell migration. Diabetologia 40: 1166–1171.
- 34. Im HK, Gamazon ER, Stark AL, Huang RS, Cox NJ, et al. (2012) Mixed effects modeling of proliferation rates in cell-based models: consequence for pharmacogenomics and cancer. PLoS genetics 8: e1002525.
- 35. Bouis D, Hospers GA, Meijer C, Molema G, Mulder NH (2001) Endothelium in vitro: a review of human vascular endothelial cell lines for blood vessel-related research. Angiogenesis 4: 91–102.
- 36. Brown KA, Vora A, Biggerstaff J, Edgell CJ, Oikle S, et al. (1993) Application of an immortalized human endothelial cell line to the leucocyte:endothelial adherence assay. Journal of immunological methods 163: 13–22.
- 37. Thornhill MH, Li J, Haskard DO (1993) Leucocyte endothelial cell adhesion: a study comparing human umbilical vein endothelial cells and the endothelial cell line EA-hy-926. Scandinavian journal of immunology 38: 279–286.
- 38. Tenesa A, Haley CS (2013) The heritability of human disease: estimation, uses and abuses. Nature reviews Genetics 14: 139–149.
- 39. Nathan L, Pervin S, Singh R, Rosenfeld M, Chaudhuri G (1999) Estradiol inhibits leukocyte adhesion and transendothelial migration in rabbits in vivo : possible mechanisms for gender differences in atherosclerosis. Circulation research 85: 377–385.
- 40. Stark AL, Zhang W, Mi S, Duan S, O'Donnell PH, et al. (2010) Heritable and non-genetic factors as variables of pharmacologic phenotypes in lymphoblastoid cell lines. The pharmacogenomics journal 10: 505–512.