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Variability and cost implications of three generations of the Roche LightCycler® 480

  • Maria Dullaert-de Boer ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Project administration, Resources, Software, Validation, Visualization, Writing – original draft

    m.deboer@labmicta.nl

    Affiliation Laboratory for Medical Microbiology and Public Health, Hengelo, The Netherlands

  • Onno W. Akkerman,

    Roles Writing – original draft

    Affiliation University of Groningen, University Medical Center Groningen, Department of Pulmonary diseases and Tuberculosis, Groningen, The Netherlands

  • Marloes Vermeer,

    Roles Data curation

    Affiliation ZGT Academy, ZGT, Almelo The Netherlands

  • Dorine L. J. Hess,

    Roles Writing – review & editing

    Affiliation Laboratory for Medical Microbiology and Public Health, Hengelo, The Netherlands

  • Huib A. M. Kerstjens,

    Roles Writing – review & editing

    Affiliation University of Groningen, University Medical Center Groningen, Department of Pulmonary diseases and Tuberculosis, Groningen, The Netherlands

  • Richard M. Anthony,

    Roles Writing – review & editing

    Affiliation Tuberculosis reference laboratory, Center for Infectious Disease Research, Diagnostics and Perinatal Screening (IDS), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands

  • Tjip S. van der Werf,

    Roles Writing – review & editing

    Affiliations University of Groningen, University Medical Center Groningen, Department of Pulmonary diseases and Tuberculosis, Groningen, The Netherlands, University of Groningen, University Medical Center Groningen, Department of Internal Medicine, Groningen, The Netherlands

  • Dick van Soolingen,

    Roles Writing – review & editing

    Affiliation Tuberculosis reference laboratory, Center for Infectious Disease Research, Diagnostics and Perinatal Screening (IDS), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands

  • Adri G. M. van der Zanden

    Roles Conceptualization, Investigation, Supervision, Writing – original draft

    Affiliation Laboratory for Medical Microbiology and Public Health, Hengelo, The Netherlands

Correction

9 Feb 2018: Dullaert-de Boer M, Akkerman OW, Vermeer M, Hess DLJ, Kerstjens HAM, et al. (2018) Correction: Variability and cost implications of three generations of the Roche LightCycler® 480. PLOS ONE 13(2): e0192946. https://doi.org/10.1371/journal.pone.0192946 View correction

Abstract

Real time PCR has become a dominant method for the highly sensitive detection of pathogens in clinical material. Real time PCR can generate a fluorescence signal by using fluorescence labelled probes, allowing us to detect and semi quantify the amount of amplified DNA. Here we test the variability of the detection system and cost implications of three different versions of the LightCycler® 480 (LC480), focusing on the intensity of fluorescence and Cq in monoplex and multiplex rtPCRs.

For gastro-intestinal pathogens there was no correlation between the intensity of fluorescence and the Cq value in the different LC480 types. For probes with the dyes FAMTM, HEXTM, Cy5 and Red610 a higher fluorescence intensity was seen in LC480 type II and III compared to LC480 type I. After lowering the probe concentration for the Cy5 dye three-fold (from 0.3μM to 0.1μM) the Cq value remains the same and the intensity of fluorescence decreases. For the LC480 type II and III the difference in fluorescence intensity was much more extreme. The concentration of the different labelled probes can be lowered at least six-fold in LC480 type II and III cyclers while maintaining a fluorescence intensity as high as achieved in the LC480 type I with undiluted probe. In conclusion, the strength of the fluorescence signal of the LightCycler® 480 type III is superior to that of LightCycler® 480 types I and II, allowing the use of lower probe concentrations for all dyes, particularly for the dyes Red610 and Cy5. This results in a two thirds reduction in PCR probe costs. Switching to these newer machines for real-time PCR can reduce dye labelled probe consumption and thus reduce costs significantly.

Introduction

Real time PCR (rtPCR) has become a widespread diagnostic tool in microbiology [12] allowing the highly sensitive detection of many different pathogens [3]. A monoplex rtPCR contains one specific primer pair and a probe and specifically amplifies a DNA sequence, specific for a single pathogen. A multiplex rtPCR contains several pairs of specific primers and probes in one rtPCR mixture, specific for several sequences of microorganisms. Multiplex and monoplex rtPCR assays are able to detect bacteria, viruses and or parasites [46].

In order to detect and semi quantify the amount of amplified DNA, the rtPCR assay needs to generate a measurable signal. Currently, most assays use fluorescent dyes to directly detect the PCR amplicons avoiding the need for post amplification manipulation [78]. A series of DNA probes each specific for a micro-organism, labelled with different fluorescence dyes, such as FAMTM, HEXTM, Red610 or Cy5 can be used simultaneously to signal the presence of specific targets resolved by instrument filters, allowing the detection of the PCR products after 20 to 45 cycles [910].

The quantification cycle (Cq) is proportional to the amount of DNA present in the clinical sample examined. The threshold for detecting fluorescence is a fluorescence intensity above the baseline that can be considered significantly above the background. Using Roche’s LightCycler® 480, the baseline is termed the “noise band”. Using the “noise band” option the standard deviation of the background signals (noise) of all samples included in the run is calculated. The noise band is then set to 12-fold of this standard deviation. Once the background noise has been removed, a log-line is calculated for each amplification curve and extrapolated from the threshold line as mentioned in the Roche Instrument operator’s manual, software version 1.5. The quantification performance of Roche’s LightCycler® 480 is indicated by Crossing point (Cp) and will be represented as Cq [11].

Recently, the LightCycler® 480 type I was succeeded by the LightCycler® 480 type II. The latter system differs from the first version in the block cycler units and the detection unit that contains the lamp unit and optics unit. LightCycler® 480 types I and II have a lamp unit containing a Xenon lamp. Whereas the LightCycler® type III has a LED lamp in its lamp unit, but produces the same spectra as LightCycler® 480 type II (Table 1).

The aim of this study was to test the variability of the detection system, especially the differences in illumination and thus intensity of the fluorescence produced, and implications for running costs when using the different LightCycler® 480 (LC480) models to run multiplex rtPCRs. This is highly relevant for most Real-time PCR machines, and in case for the LC480 models as most laboratories worldwide still use type I and II, while the most up-to-date have already switched to type III. Many large volume laboratories utilize different versions of PCR machinery from one manufacturer, so cross comparability is also critically important.

Methods

LightCycler® 480 instruments

Our laboratory utilizes three types of Roche LC480 Instruments. Type I, type II and one modified type II which utilise a LED lamp, referred to as a type III. All three types of Roche LC480 instruments were used according to the manufacturer’s instructions [Roche diagnostics Nederland BV]. All LightCyclers contain the same block cycler and same detection unit including the optical filters but differ in their lamp units.

rtPCR assays

Four multiplex rtPCRs with different fluorescence dyes were used to study the performance of the detection systems (Tables 2 and 3). The total reaction volume of the multiplex rtPCR consisted of 20μL reaction mix and 10 μL of DNA extract. The reaction mix contained 3 μL of bovine serum albumin (20 mg/mL; Invitrogen, Breda, The Netherlands) which was added to 15 μL of Roche Probes Master (Roche Diagnostics Nederland BV, Almere, the Netherlands) and Molecular Grade Water (Roche Diagnostics Nederland BV, Almere, the Netherlands), primers and probes to bring the total reaction volume to 20 μL. These rtPCRs are routinely used for the molecular detection of gastro-intestinal pathogens. For each target a specific positive control is used. The four different multiplex rtPCRs were Molecular faeces panels 1 to 4 (MFP1 to 4). MFP1 detects Salmonella species, Campylobacter jejuni and Campylobacter coli, MFP2 detects Shigella dysenteriae / Enteroinvasive Escherichia coli EIEC and Yersinia enterocolitica. MFP3 detects Shiga-toxin producing Escherichia coli (STEC). MFP4 detects Giardia lamblia, Cryptosporidium species, and Dientamoeba fragilis. Synechococcus, detected with a probe labelled with a Cy5 dye, was used as the internal control (IC) and included in each of the multiplex rtPCRs MFP1, MFP2, MFP3 and MFP4. Cq values were recorded for each analysis, and the assay result was called positive or negative.

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Table 2. Detection dyes with different excitation and emission spectra are shown for the LightCycler® 480 type I, II and III.

https://doi.org/10.1371/journal.pone.0190847.t002

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Table 3. Pathogen targets of the gastro-enteritis multiplex rtPCRs with accompanying dyes and probe concentration used in the final rtPCR reaction.

https://doi.org/10.1371/journal.pone.0190847.t003

LightCycler®480 cycle conditions

Reaction conditions for all rtPCRs were 10 minutes Taq hotstart activation at 95°C, followed by 45 cycles of 95°C for 15 seconds and 60°C for 1 minute. The final step comprised cooling to 40°C for 20 seconds.

Detection dyes

The dyes used were FAMTM, HEXTM/VIC, Red610 and Cy5.

Intensity of fluorescence

The intensity of fluorescence were measured in units relative to the positive controls of the rtPCR assays.

Statistical analysis

The results of the positive controls (DNA of laboratory strains) of the different gastro-intestinal rtPCR assays were collected over eight months. Calculations were made over two months during which the positive controls for the gastro-intestinal pathogens were tested with the same rtPCR reagents (mastermix batch number, primer probe batches, including the same batch of positive controls) and under the same specific conditions for the rtPCR. In those two months per LC480® ten results of each positive control in the gastro intestinal rtPCR were analysed using the same reagents and rtPCR conditions. Cp values were calculated using Roche Lightcycler software analyzing with LC480 Abs Quant/2nd Derivative Max. Continuous data are presented as means with standard deviation. Bar charts with standard error bars were used to visualize the fluorescence data. Statistical analysis was performed using the Statistical Package for the Social Sciences version 24 (SPSS Inc., Chicago, USA).

Results

The three different types of Roche’s LC480 Instruments were compared regarding the intensity of fluorescence produced with identical positive controls. No correlation was seen between the fluorescence intensity and the Cq value (Table 4 and S1 Dataset).

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Table 4. Relation of the Cq value and the level of fluorescence in the three different types of Roche LightCycler® 480.

The mean and standard deviation of ten analyses per target is showed by the Cq value and fluorescence in units.

https://doi.org/10.1371/journal.pone.0190847.t004

Although the Cq value of the specific positive controls did not differ between the three types of LC480 instruments, the absolute fluorescence intensity revealed an enormous range for all dyes, especially for the Red610 and Cy5 dyes. LC480 I showed the lowest fluorescence intensity for the multiplex rtPCRs whereas LC480 III showed the highest fluorescence intensity (Fig 1A–1D and S1 Dataset) for FAMTM, HEXTM, Red610 and Cy5 dyes.

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Fig 1. Fluorescence intensity in units of gastro-intestinal multiplex rtPCRs (A, B, C, D), measured by LightCycler® 480 instruments type I, II and III.

The mean of ten analyses per target is showed by fluorescence in units. The X-axis represents the types of the PCR instrument and the Y-axis represents the fluorescence intensity in units. MFP: molecular fecal panel. Synechococcus is used as internal control (IC) of the targets and was detected with a probe labelled with a Cy5 dye included in the multiplex rtPCRs MFP1, MFP2, MFP3 and MFP4.

https://doi.org/10.1371/journal.pone.0190847.g001

LC480 III is superior to LC480 I and II for the dyes FAMTM and HEXTM. LC480 I and LC480 II differ a factor two in fluorescence intensity with LC480 III. The fluorescence intensity of Type LC480 I differed by a factor three to six for the dyes Red610 and Cy5 when compared to the Type LC480 II and Type LC480 III. The effect of changing the probe concentrations on the Cq value and the fluorescence intensity was studied for Type LCI and Type LCIII LightCyler480 as these two models had the most diverse fluorescence intensities. In different rtPCRs, the Cq value remained the same with an decrease of probe concentration from 0.3 μM to 0.1μM. By lowering the probe concentration in Type LCIII the fluorescence intensity remains the same or even higher in comparison to a Type LCI. This increase of the fluorescence level in Type LCIII is associated with a significant cost reduction for the dye Cy5 (Fig 2, S2 Dataset and Table 5).

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Fig 2. Correlation of the probe concentration and the intensity of fluorescence in two different types of Roche LightCycler® 480.

The mean of five analyses per target is showed by fluorescence in units.

https://doi.org/10.1371/journal.pone.0190847.g002

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Table 5. Reducing running costs by lowering the probe concentration in a LED Roche LightCycler® 480.

https://doi.org/10.1371/journal.pone.0190847.t005

A six-fold difference in fluorescence intensity was seen between LC480 I and LC480 III demonstrating an increased sensitivity of the new LED lamp in the LC480 III for the Cy5 dye (Fig 2 and S2 Dataset). When the probe concentration was increased it results in a dramatic increase in the probe costs for the rtPCR (Table 5). Running cost could be reduced from 13677,31 euro to 5574,5 euro, a reduction of 8,102.81 euro (-59.2%) for 10,000 rtPCR's when only LC480 III is used for detection.

Discussion

We assessed the Cq values and the intensity of fluorescence produced by three types of LC480 using 4 different multiplex rtPCRs. The LC480 type I and type II/ type III differ in their excitation spectra and this leads to variation in fluorescence intensity (Table 2). Overall, the lowest fluorescence for the dyes FAMTM, HEXTM, Red610 and Cy5 was detected by the LC480 type I instruments while the LC480 type III instrument detected the highest fluorescence intensity. For the FAMTM and HEXTM dyes two-fold variation in intensity was seen between the different versions of the LC480 instruments. Real time PCRs with dyes Red610 and Cy5 showed an enormous variation in fluorescence intensity between the three LC480 types tested. No relation between fluorescence intensity and Cq value was observed however.

The quant factor represents the maximum factor of fluorescence dynamics and is calculated by dividing the fluorescence at the plateau phase by the one at the background. The amplification conditions, detection system, lamp unit and software significantly influence the quant factor of an instrument. Theoretically, due to the variation in fluorescence output, positive results could be interpreted as negative if dye intensity levels used are too low. This is caused by an individual signal to noise ratio unique to each LC480 Instrument. Most of the assays have a default setting of the detection format, with a standard quant factor. To determine the relation between signal-to-noise ratio and the fluorescence intensity, the quant factor was changed from 10 to 1 and the probes were diluted one hundred times. The relation appeared linear; the signal-to-noise ratio remains the same in the detection at different concentrations of the labelled probes with different quant factor (S3 Dataset). This emphasizes the importance of optimal instrument settings of the LC480 to prevent false negative results.

Our laboratory has a comprehensive maintenance schedule for all PCR cyclers. Regular cleaning of the lens is needed as well as more extensive maintenance for all of the instruments to ensure optimal performance (S4 Dataset).

Fluorescence intensity is linear with respect to the number of copies of a probe until a plateau is reached after which no further increase in fluorescence is seen as the amount of probe increases. Each unique probe has its own signal level. Reagents used in rtPCR like the polymerase and primers, also influence detection limits [2122]. There is also a difference in the fluorescence intensity achievable in monoplex and multiplex rtPCRs for C. coli, STEC and Giardia. This can be caused by the concentration of reaction mix components, such as primers, polymerase, master mix, magnesium, but also the analytical platforms, and cycling conditions as well as the characteristics of the probe [2326]. Generally, as multiplex rtPCRs are more complex than monoplex rtPCRs, they are more sensitive to the initial reaction conditions, due to factors like competition between individual rtPCRs as well as increased probability of the formation of primer dimers [27].

For all real-time PCR machines, fluorescence intensity levels also depend on the maintenance, timely replacement of lamp units—and cleanliness of the instruments lens. These interventions will also allow a lower concentration of rtPCR labelled probes to produce a reliably measurable signal. This maintenance is often overlooked in routine laboratories or the verification of the expected fluorescence intensity is not performed, these interventions are not expensive but when performing large numbers of diagnostic rtPCRs labelled probes are a significant cost.

In conclusion, the fluorescence output of the LC480 type III is superior to that of LC480 types I and II for all dyes, especially the dyes Red610 and Cy5. Detection with a LED lamp enables lowering the concentration of a probe while maintaining an acceptable signal level, thereby reducing the running costs by 59.2%.

Supporting information

S1 Dataset. S1 Dataset-data statistical analyses Figure 1 and Table 4.

https://doi.org/10.1371/journal.pone.0190847.s001

(XLSX)

S2 Dataset. S2 Dataset-figure 2 probe titratie LC comparison.

https://doi.org/10.1371/journal.pone.0190847.s002

(XLSX)

S3 Dataset. S3 Dataset- data not shown line 243 signal to noise test.

https://doi.org/10.1371/journal.pone.0190847.s003

(XLS)

S4 Dataset. S4 Dataset-data not shown line 248 all data maintenance.

https://doi.org/10.1371/journal.pone.0190847.s004

(XLSX)

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