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. 2017 Nov 23;6:2045. [Version 1] doi: 10.12688/f1000research.12802.1

Monocytes isolated by positive and negative magnetic sorting techniques show different molecular characteristics and immunophenotypic behaviour

Jashdeep Bhattacharjee 1,2, Barun Das 1, Alaknanda Mishra 1, Preeti Sahay 1, Pramod Upadhyay 1,a
PMCID: PMC5871943  PMID: 29636897

Abstract

Background: Magnetic sorting of cells, based on  microbead conjugated antibodies (Abs), employs positive as well as negative immunomagnetic separation methods, for isolation of a specific cell population. These microbeads are suggested to be nontoxic, biodegradable carriers conjugated to various antibodies. Isolation of cells through positive selection involves the attachment of antibody conjugated microbeads to the cells of interest, followed by their isolation in the presence of a strong magnetic field to obtain higher purity. Negative selection involves attachment of microbead conjugated antibodies to all other cell populations except the cells of interest, which remain untagged. In the present study, we compared the two methods for their effect on functional and immunophenotypic behavior of isolated CD14+ monocytes.

Methods: Peripheral blood mononuclear cells (PBMCs) were isolated from blood collected from healthy volunteers by density gradient centrifugation. Human blood derived monocytes were isolated through positive selection and negative selection, making use of the appropriate monocyte isolation kit. Monocytes were then stimulated with lipopolysaccharide (LPS) and their activation and proliferation capacity were examined. The degradation or dissociation of cell-bound microbeads was also investigated.

Results: We observed an impaired LPS sensitivity as well as poor activation and proliferation capacity upon stimulation by LPS in positively sorted CD14+ monocytes as compared to negatively sorted CD14+ monocytes. The attached microbeads did not degrade and remained attached to the cells even after 6 days of culture.

Conclusions: Our results suggest that positively sorted CD14+ cells exhibit hampered functionality and may result in inaccurate analysis and observations in downstream applications. However, these cells can be used for immediate analytical procedures.

Keywords: immune-magnetic cell sorting, lipopolysaccharide sensitivity, CD14+ve monocytes

Introduction

Magnetic sorting is a common technique used to obtain a highly pure population of cells of interest from a mixed population of cells, making use of microbead conjugated antibodies against the cell surface antigen. Positive sorting involves the tagging of cells with magnetic microbead conjugated antibodies, followed by isolation of the labeled cells by placing them in a magnetic field. After positive sorting, cells that have microbead conjugated antibodies on their surface can be conveniently analyzed using flow cytometry ( Füchslin et al., 2010; Miltenyi et al., 1990; Pei et al., 1998). Negative sorting involves the labeling of all cells, except the cells of interest, by incubating them in a cocktail of magnetic microbead conjugated antibodies and subsequently removing them by placing them in a magnetic field.

Cluster of differentiation 14 (CD14) are specific markers used to identify monocytic populations, and they act as a coreceptors for LPS ( Guha & Mackman, 2001). It has been suggested that positive magnetic sorting of CD14 does not trigger any signal transduction pathways or alter its functionality, since CD14 lacks a cytoplasmatic domain and such cells are reported to function in a restricted manner ( Tomlinson et al., 2013). Observations made with microbead labeled cells during in vitro ( Füchslin et al., 2010; Horgan et al., 2009; Semple et al., 1993) and in vivo experiments ( Ribaut et al., 2008; Safarík & Safaríková, 1999) suggested that cells post microbead attachment do not reflect the true picture and undergo altered behaviour.

We investigated the immunophenotypic behaviour and molecular characteristics of monocytes after both positive and negative sorting, by analyzing their response and proliferation to stimuli like LPS. The biodegradation profile of the attached microbeads from the CD14+ cells was also investigated.

Methods

Ethical statement

The investigation was approved (project serial number: IHEC/#52/10) by the Institutional human ethics committee of the National Institute of Immunology, New Delhi-67, India.

Isolation of PBMCs

Experiments were performed at the National Institute of Immunology, New Delhi. 20 ml of peripheral blood was collected from five healthy volunteers aged between 25–30 years, after obtaining their written informed consent. Blood was collected more than once from some of the volunteers and there was a minimum gap of three months between two successive sample collections. The peripheral blood mononuclear cells (PBMCs) were isolated from blood by density gradient centrifugation using HiSep TM LSM 1077 (Himedia, Mumbai; India). The obtained PBMCs were washed thrice with Dulbecco’s phosphate buffered saline (Himedia, Mumbai; India) and counted using the trypan blue dye exclusion method with a hemocytometer (Rohem Industries Pvt Ltd, India).

Isolation of monocytes by magnetic activated cell sorting

Human blood derived monocytes were sorted using anti-human CD14 MicroBeads (Miltenyi Biotec, Bergisch Gladbach, Germany), as per manufacturer’s protocol. Similarly, monocytes were isolated by negative sorting using the monocyte isolation Kit II (Miltenyi Biotec, Bergisch Gladbach; Germany) according to manufacturer’s protocol.

Cell culture and antibody dissociation assay

The positively sorted CD14 positive cells were re-suspended in RPMI 1640 medium (Himedia, Mumbai; India) supplemented with 10% fetal bovine serum (FBS) (Biological Industries, Beit-Haemek Israel) and 1X antibiotic-antimycotic solution containing streptomycin sulphate, penicillin and amphotericin-B (Himedia, Mumbai; India), and plated at a density of 4 × 10 6 cells per well in 6 well low adherence plates (Corning, Tewksbury; USA). The cells were periodically harvested by gentle scrapping and passed through a magnetic column. Cells with and without bound microbeads (obtained in the flowthrough) were counted using a hemocytometer (Rohem Industries Pvt Ltd, India).

LPS stimulation of sorted monocytes

Monocytes separated either by positive or negative selections were re-suspended in RPMI 1640 media supplemented with 10% FBS and 1X antibiotic-antimycotic solution. 1 million cells/ well were plated in a 24 well cell culture plate (Corning, Tewksbury, USA) and placed in a humidified CO 2 incubator (ShelLab, Cornelius; USA) at 5% CO 2/ 37°C for 24 hours. The cells were examined for adherence and thereafter stimulated with 1 ml complete RPMI media containing 500ng/ml of LPS (Sigma, St. Louis; USA). Fresh media containing 500ng/ml of LPS was replaced at each time point (8h, 16h, 24h) for supernatant collection.

Cytometric bead array

The supernatants collected at various time points were analysed for the presence of pro- and anti-inflammatory cytokines; IL-8, IL-10, TGF-β1 and RANTES, using cytometric bead array (CBA) (BD Biosciences, San Jose; USA) as per manufacturer’s protocol. The data was recorded using BD FACSVerse (BD Biosciences, San Jose; USA) and was analysed using FCAP Array software v3.0 (BD Biosciences, San Jose; USA). The assay samples were appropriately diluted to match the detection range of the CBA kit.

Live cell imaging

The magnetic sorted monocytes were plated at a density of 1 million cells per well in a 24 well plate. After allowing the cells to adhere for 24 hours, RPMI 1640 media supplemented with 10% FBS and 1% antibiotic-antimycotic solution containing 500 ng/ml of LPS was added to the respective wells. The culture plates were then placed in Cell-IQ (CM Technologies, Tampere; Finland) and specific fields were focussed using 10X objective magnification. Time lapse microscopy was performed and analysed for 48 hours at 30 minutes interval using live cell imaging and software (Cell IQ Analyser, Finland).

Results

Activation and proliferation of sorted CD14+ monocytes

Sorted monocytes incubated with LPS were examined for secretion of various pro- and anti-inflammatory cytokines. The levels of IL-8, IL-10, TGF-β1 and RANTES at different time points after positively and negatively isolated CD14+ monocytes were incubated with LPS were analyzed. The secretion of IL-8 was observed to be at its maximum at 8 hours in negatively sorted monocytes and at 16 hours in positively sorted monocytes ( Figure 1A). The IL-8 level in negatively sorted CD14+ cells was 6 times higher than positively sorted CD14+ cells. A similar pattern was observed for secretion of RANTES ( Figure 1C) and TGF-β1 ( Figure 1D), though the differences were not very pronounced. It was of significance to observe the reversed pattern for an anti-inflammatory cytokine, IL-10 ( Figure 1B).

Figure 1. The levels of IL-8, IL-10, TGF-β1 and RANTES in 5 pooled samples at different time points after positively and negatively isolated CD14+ monocytes were stimulated with LPS.

Figure 1.

Greater secretion of the pro-inflammatory cytokines in negatively sorted CD14+ monocytes upon activation was observed, during proliferation of activated monocytes. Figure 2 shows the variation in the average number of cells per field (487μm×364μm) for positively and negatively sorted cells. Further, the progression of proliferation is shown in Video V1 for negatively sorted cells and Video V2 for positively sorted cells. Alongside Figure 2, the videos show that negatively sorted cells proliferated rapidly and extensively upon activation, and the maximum number of cells was reached after 16 hours. However, there was no clearly defined time point of maximum number of cells reached by positively sorted cells.

Figure 2. The changes in the average number of cells per field (487μmX364μm) over time, upon stimulation by LPS in positively and negatively sorted cells.

Figure 2.

Degradation of microbeads

To examine the degradation of microbeads, PBMCs were labeled with anti-human CD14 antibody conjugated microbeads and sorted under a magnetic field. The sorted cells were maintained in a culture and the numbers of cells with and without microbeads were counted via flow cytometric analysis. Results of three independent samples are shown in Figure 3.

Figure 3. Variation in the percentages of CD14+ cells which do not have bound anti-CD14 microbeads when they were cultured for several days.

Figure 3.

These results show the variation in percentage of cells collected in the ‘flow through’ of column placed in magnetic field. These were the cells from which the microbeads were either degraded or detected and cells were without microbeads. In all the three cultures we examined, the percentage of cells without microbeads was different but there was hardly any change in these percentages when the culture was continued for 6 days. This suggests that in typical culture conditions the Ab-microbeads remain bound with cells for many days.

Raw data corresponding to the results shown in Figure 1

Copyright: © 2017 Bhattacharjee J et al.

Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

Raw data corresponding to the results shown in Figure 2

Copyright: © 2017 Bhattacharjee J et al.

Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

Raw data corresponding to the results shown in Figure 3

Copyright: © 2017 Bhattacharjee J et al.

Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

Discussion

Magnetic cell sorting for the separation of large numbers of cells according to specific cell surface markers is a technique that is commonly used ( Adams et al., 2008). It is a common notion that magnetic beads are biodegradable, do not activate cells and do not affect downstream application. We have however observed that the activation and proliferation of positively sorted CD14+ cells is impaired compared to the negatively sorted cells.

The activation of monocytes by LPS is known to occur through surface CD14, which is an LPS sensing receptor. Surface CD14 plays a crucial role; it binds and transfers LPS to the surface via TLR4:MD2 complex to enable its recognition. The LPS stimulation of monocytes activates several intracellular signaling pathways which in turn activates a variety of transcription factors ultimately leading to induction of many genes encoding inflammatory cytokines ( Guha & Mackman, 2001). In short, CD14 is involved in the LPS-induced release of IL-8, which is an important pro-inflammatory cytokine ( He et al., 2013).

After positively sorting CD14+ monocytes from PBMCs, the surface CD14 molecules on monocytes are blocked by anti-CD14 microbeads and these CD14+ surface sites can no longer mediate the stimulation by LPS and the positively sorted CD14+ monocytes may show impaired stimulation by LPS.

In two experiments, identical numbers of CD14+ monocytes isolated by positive and negative sorting were stimulated with LPS and their activation and proliferation was monitored. Figure 1 shows that upon stimulation by LPS the negatively sorted CD14+ monocytes secreted enormous amount of IL-8 almost instantaneously and they exhibited acute proliferation ( Figure 2). This is in accordance with the observation that IL-8 transcript is highly expressed in LPS-stimulated monocytes ( Standiford et al., 1992; Suzuki et al., 2000).

The positively sorted CD14+ monocytes responded only after 24 hours, and their level of stimulation was impaired and the cells did not proliferate. This delayed and reduced stimulation by LPS is due to the CD14 independent receptors which function to direct LPS mediated cytokine secretion under conditions where the CD14 dependent pathway is blocked or non-functional ( Lynn et al., 1993). There are a few LPS-associated cell surface proteins which are distinct from CD14 and these surface proteins too can bind TLRs to initiate a response ( Triantafilou et al., 2001). Our results suggest that the density of these surface proteins is low compared to CD14 as lesser stimulation was observed when CD14 surface groups were blocked by Abs and secondly, the delayed stimulation indicate that most likely a different pathway was followed for their activation.

Further, the secretion of somewhat higher amount of IL-10 by positively sorted CD14+ monocytes only suggest the absence of highly inflammatory conditions upon LPS activation. The levels of RANTES and TGF-β1 also indicate that the LPS activation of monocytes via CD14 independent receptors produces unique results which could be very different from common experimental situation.

In one such related report, the, human primary monocytes were isolated by either positive or negative immunomagnetic selection and differentiated to macrophages ( Neu et al., 2013). The phagocytosis of Listeria monocytogenes (Lm) by GM-CSF-derived macrophages (GM-M) was markedly influenced by the method used for isolation of monocytes. The GM-M derived from negatively isolated monocytes showed low phagocytosis of Lm whereas GM-M generated from positively selected monocytes displayed high phagocytosis of Lm. The paper concludes that macrophages derived by ex vivo differentiation of negatively selected human primary monocytes as the most suitable model to study Lm infection of macrophages. In yet another report ( Elkord et al., 2005) it was demonstrated that the human dendritic cells generated from positively isolated monocytes by anti-CD14-coated microbeads show impaired induction by LPS.

Similar findings have been made by examining the gene expression profiles of CD8+ T cells, B cells and monocytes isolated using positive selection, negative selection and FACS ( Beliakova-Bethell et al., 2014).

In these reports it was not investigated further why the positively isolated monocytes were not suitable and had poor cytokines production upon stimulation. Our data suggests that in these experiments, the positively isolated monocytes were tagged permanently with anti-CD14 molecules attached with microbeads. The positively isolated CD14+ monocytes are identical with monocytes whose surface CD14 molecules have been blocked by Abs and these monocytes are known to behave differently ( Delirezh et al., 2013; Elkord et al., 2005; Kim & Kim, 2014). In this context, diverse outcome could be observed when cells positively isolated by antibody bound microbeads were used for extended culture work ( Govers et al., 2012; Greish et al., 2012; Lapenna et al., 2013; Meinhardt et al., 2012).

There are two important findings from these experiments; positively isolated CD14+ monocytes have impaired LPS sensitivity and magnetic beads used in positive isolation do not degrade within days. These conclusions suggest that for most experiments, positively isolated cells are usable for analysis purpose only and should not be used for any further culture experiments.

Data availability

The data referenced by this article are under copyright with the following copyright statement: Copyright: © 2017 Bhattacharjee J et al.

Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication). http://creativecommons.org/publicdomain/zero/1.0/

Dataset 1: Raw data corresponding to the results shown in Figure 1. DOI, 10.5256/f1000research.12802.d182356 ( Bhattacharjee et al., 2017a)

Dataset 2: Raw data corresponding to the results shown in Figure 2. DOI, 10.5256/f1000research.12802.d182357 ( Bhattacharjee et al., 2017b)

Dataset 3: Raw data corresponding to the results shown in Figure 3. DOI, 10.5256/f1000research.12802.d182358 ( Bhattacharjee et al., 2017c)

Author details

This work was carried out at: National Institute of Immunology, New Delhi, India. The first author, Jashdeep Bhattacharjee, has now moved to: Division of Gastroenterology, Hepatology and Nutrition, Children’s Hospital Los Angeles.

Funding Statement

This work has been supported by the core grant received from the Department of Biotechnology, Government of India, to the National Institute of Immunology, New Delhi.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

[version 1; referees: 1 approved]

Supplementary material

Supplementary Video V1: The progression of proliferation after stimulation by LPS in negatively sorted CD14+ monocytes.

Supplementary Video V2: The progression of proliferation after stimulation by LPS in positively sorted CD14+ monocytes.

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F1000Res. 2017 Dec 12. doi: 10.5256/f1000research.13872.r28324

Referee response for version 1

Nadejda Beliakova-Bethell 1

This study assesses monocyte function following isolation of these cells from total peripheral blood mononuclear cells (PBMC) using positive or negative immunomagnetic selection. It addresses an important topic, because cell isolation procedure may affect cell function and skew conclusions obtained from in vitro studies of immune cells isolated from blood. Despite a limited assessment of functions and isolation methods, this study should have an impact on selection of monocyte isolation protocol when these cells are intended for investigation of specific responses, which this study tested. The study design is appropriate and conclusions drawn are adequately supported by the results. The paper may be improved, however, by providing more details in methods, raw data and discussion, and by careful revision of citations as detailed below:

Methods:

Cytometic bead array: there are several cytometric bead arrays available for human samples (e.g. “human inflammatory cytokine kit”, “human chemokine kit”). Which one was used? Legend for Figure 1 indicates that 5 samples were pooled. It would be helpful to provide details on how the pooling was done (the entire samples, equal volumes, equal proportions?) and what dilutions were made for the assay.

Live cell imaging: It appears that information in methods contradicts the data shown in Figure 2. According to the figure and supplied raw data, imaging was performed over a course of over 76 hours, while methods section states “48 hours”.

Raw data:

Data for Figure 1: it might be easier to understand the data if columns were labeled by cytokine and sample (e.g. IL8 negative selection, IL8 positive selection, etc. as opposed to IL8B, IL8C, etc.)

Data for Figure 2: were 36 fields for each sample for each time point individually counted, as the information on the figure indicates? Raw data appears to have only the averages. Was the distribution of counts tight, or was there high variation? Including raw data for individual field counts might be more appropriate.

Discussion:

Another option to positively isolate monocytes is to use anti-CD33 instead of anti-CD14 coated beads. This may be more appropriate in studies that aim to measure response to LPS, when positive selection is preferred (e.g. in cases of limited sample from which sequential separation of different lymphocyte subsets is desired). It might be worthy to discuss this option.

Citations:

Several citations throughout the paper appear to be inaccurate; for example, in Introduction some citations on altered behavior of cells following microbead attachment: (1) Safarik and Safarikova is a method review, and Horgan et al. is a protocol; neither studies cell behavior; (2) Semple et al. observed no functional changes in limited tests they did; the difference that they report pertains to CD19+ vs CD19- cells, not positively isolated vs negatively isolated cells; (3) Fuchslin et al. labeled bacterial cells for their quantification in water; and Ribaut et al. labeled parasites for their isolation from infected blood for research purposes; the relevance of these two citations for the present study may be questionable. In Discussion, Adams et al. describe a special case of MACS for multitarget sort, and may not be appropriate for referencing commonality of magnetic sorting. While the results from the present study are consistent with gene expression studies by Beliakova-Bethell et al. in terms of effects of positive selection, the reference to Beliakova-Bethell et al. is made following description of Neu et al. and Elkord et al. studies, stating that the findings were similar. This is not accurate because Neu et al. and Elkord et al. performed functional assessment following cell separation, while Beliakova-Bethell et al. lysed the cells immediately after isolation and did not measure cell function. Instead of the statement of similarity of findings, it might be worth pointing out that positive selection affects monocytes the most both in the short term and in the long term.

I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2017 Dec 18.
Pramod Upadhyay 1

Thank you for providing us valuable comments. We have addressed all of them in the revised version of the manuscript.

Specifically

Methods:

Cytometic bead array: there are several cytometric bead arrays available for human samples (e.g. “human inflammatory cytokine kit”, “human chemokine kit”). Which one was used? Legend for Figure 1 indicates that 5 samples were pooled. It would be helpful to provide details on how the pooling was done (the entire samples, equal volumes, equal proportions?) and what dilutions were made for the assay.

We used Cytometric Bead Array (CBA) Soluble Protein Flex Set and equal volumes of the samples were pooled. The CBA assay was performed on culture supernatants without any dilution. These details have been included in the revised manuscript.

Live cell imaging: It appears that information in methods contradicts the data shown in Figure 2. According to the figure and supplied raw data, imaging was performed over a course of over 76 hours, while methods section states “48 hours”.

Live cell imaging: The imaging was performed till 76 hours and it was a mistake to mention this as 48 hours in the method section, we thank you for pointing out this anomaly and this has been corrected in the revised manuscript.

Raw data:

Data for Figure 1: it might be easier to understand the data if columns were labeled by cytokine and sample (e.g. IL8 negative selection, IL8 positive selection, etc. as opposed to IL8B, IL8C, etc.)

Suggested changes have been made.

Data for Figure 2: were 36 fields for each sample for each time point individually counted, as the information on the figure indicates? Raw data appears to have only the averages. Was the distribution of counts tight, or was there high variation? Including raw data for individual field counts might be more appropriate.

During the live cell imaging experiment images were logged and later cells were counted using the Cell-IQ Analyser software. The protocol for cell counting in the analysis software was assembled to finally provide the average number of cell count in the selected fields. The cell counts from individual fields of various images were embedded in the analysis software, thought it was possible to export these tables but due to very large number of data files we focussed only on the averages. 

Discussion:

Another option to positively isolate monocytes is to use anti-CD33 instead of anti-CD14 coated beads. This may be more appropriate in studies that aim to measure response to LPS, when positive selection is preferred (e.g. in cases of limited sample from which sequential separation of different lymphocyte subsets is desired). It might be worthy to discuss this option.

This is a good suggestion keeping in mind that the CD14 is an endogenous ligand for CD33 in monocyte-derived immature dendritic cells. It has been reported (Hiroshi Nakada et al.; J Biol Chem. 2014 Sep 5; 289(36): 25341–25350) that when monocyte-derived immature dendritic cells were stimulated with LPS in the presence of anti-CD33Ab, the production of IL-12 and phosphorylation of NF-κB decreased significantly.

Most likely the positively isolated monocytes using CD33-Ab beads would behave in a similar manner.

This possibility has been discussed in the Discussion section of the revised manuscript.

Citations:

Several citations throughout the paper appear to be inaccurate; for example, in Introduction some citations on altered behavior of cells following microbead attachment:

We once again thank the reviewer for thoroughly examining the citations; the list of references has been appropriately revised.

The differences between the findings of  Beliakova-Bethell et al. and Neu et al. & Elkord et al. have been incorporated in the revised manuscript.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Raw data corresponding to the results shown in Figure 1

    Copyright: © 2017 Bhattacharjee J et al.

    Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

    Raw data corresponding to the results shown in Figure 2

    Copyright: © 2017 Bhattacharjee J et al.

    Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

    Raw data corresponding to the results shown in Figure 3

    Copyright: © 2017 Bhattacharjee J et al.

    Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

    Data Availability Statement

    The data referenced by this article are under copyright with the following copyright statement: Copyright: © 2017 Bhattacharjee J et al.

    Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication). http://creativecommons.org/publicdomain/zero/1.0/

    Dataset 1: Raw data corresponding to the results shown in Figure 1. DOI, 10.5256/f1000research.12802.d182356 ( Bhattacharjee et al., 2017a)

    Dataset 2: Raw data corresponding to the results shown in Figure 2. DOI, 10.5256/f1000research.12802.d182357 ( Bhattacharjee et al., 2017b)

    Dataset 3: Raw data corresponding to the results shown in Figure 3. DOI, 10.5256/f1000research.12802.d182358 ( Bhattacharjee et al., 2017c)


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