Anette Aakj&#230;r Thomsen and Javier E. Garcia are acknowledged for excellent technical support. The authors thank Rubens Spin-Neto for fruitful discussions on image analysis.

The protocol for saliva collection was reviewed and approved by the Ethics Committee of Aarhus County (M-20100032).
1. Cultivation of Cross-kingdom Biofilms
<ol>
	<li>Grow S. mutans DSM 20523 and C. albicans NCPF 3179 on blood agar plates at 37 &#176;C under aerobic conditions.</li>
	<li>Transfer single colonies of each organism to test tubes filled with 5 mL of brain heart infusion (BHI). Grow for 18 h under aerobic conditions at 37 &#176;C.</li>
	<li>Centrifuge the overnight cultures at 1,200 x g for 5 min. Discard the supernatant, resuspend the cells in physiological saline and adjust the OD550 nm to 0.5 for C. albicans (~107 cells/mL) and S. mutans (~108 cells/mL). Dilute the S. mutans suspension 1:10 with sterile physiological saline (~107 cells/mL).</li>
	<li>Pipette 50 &#181;L of sterile salivary solution, prepared according to the method of de Jong et al.19, into the wells of an optical bottom 96-well plate for microscopy. Incubate for 30 min at 37 &#176;C. Wash the wells 3x with 100 &#181;L of sterile physiological saline. Empty the wells.</li>
	<li>Add 100 &#181;L of C. albicans suspension to each well. Incubate at 37 &#176;C for 90 min. Wash 3x with sterile physiological saline. 
	NOTE:Do not empty the wells completely during washing. Leave a reservoir of 20 &#181;L to avoid excessive shear forces.</li>
	<li>Add 100 &#181;L of heat-inactivated fetal bovine serum (inactivated at 56 &#176;C for 30 min) to each well. Incubate at 37 &#176;C for 2 h. Wash 3x with sterile physiological saline. Empty the wells, leaving a reservoir of 20 &#181;L.</li>
	<li>Add 100 &#181;L of S. mutans suspension (prepared in step 1.3) to each well. Add 150 &#181;L of BHI containing 5% sucrose. Incubate at 37 &#176;C for 24 h or longer. When cultivating older biofilms, change the medium daily to fresh BHI. At the end of the cross-kingdom biofilm growth phase, wash 5x with sterile physiological saline.</li>
</ol>
2. Ratiometric pH Imaging
NOTE:Ratiometric pH imaging needs to be performed immediately after biofilm growth is complete.
<ol>
	<li>For ratiometric pH imaging, use an inverted confocal laser scanning microscope with a 63x oil or water immersion lens, a 543 nm laser line, and a spectral imaging system (i.e., META detector) to allow for the imaging of overlapping fluorescent signals. Use an incubator to warm the microscope stage to 35 &#176;C.</li>
	<li>Set the detector to ensure the detection of green fluorescence from 576&#8722;608 nm and simultaneous detection of red fluorescence from 629&#8722;661 nm. Choose an appropriate laser power and gain to avoid over- and underexposure. 
	NOTE: Exposure of the images is best seen in palette images with false coloring.</li>
	<li>Set the pinhole size to 1 Airy Unit or an optical slice of ~0.8 &#181;m. Set the image size to 512 x 512 pixels and the scan speed to 2. Choose a line average of 2, using the mean option. 
	NOTE:At the beginning of a series of experiments, check that the chosen microscope settings provides a clear contrast between bacterial cells, fungal cell walls, biofilm matrix, and fungal cytoplasm.</li>
	<li>Prepare 100 &#181;L of sterile physiological saline containing 0.4% (w/v) of glucose, titrated to pH 7. Prepare a stock solution of C-SNARF-4 (1 mM in dimethyl sulfoxide). Add the dye to a final concentration of 30 &#181;M. 
	CAUTION: Wear nitrile gloves when handling the ratiometric dye.</li>
	<li>Empty one of the wells with a cross-kingdom biofilm, leaving a reservoir of 20 &#181;L. Add the sterile saline containing glucose and the ratiometric dye. Place the 96-well plate on the microscope stage and start imaging the biofilm.</li>
	<li>Acquire single images or Z-stacks in different locations of the biofilm. Mark the X-Y position in the microscope software to follow pH changes in particular fields of view over time. At regular intervals, take images with the laser turned off to correct for detector offset.</li>
	<li>Repeat steps 2.4&#8211;2.6 for the analysis of each biofilm grown in a different well.</li>
</ol>
3. Calibration of the Ratiometric Dye
NOTE: Calibration of the dye and the fitting of a calibration curve can be performed on a different day than ratiometric pH imaging.
<ol>
	<li>Prepare a series of 50 mM 2-morpholinoethanesulfonic acid (MES) buffer titrated to pH 4.0&#8722;7.8 in steps of 0.2 pH units at 35 &#176;C. Pipette 150 &#181;L of each buffer solution into the wells of an optical-bottom 96-well plate for microscopy.</li>
	<li>Add the dye to the buffer-filled wells of the 96-well plate to a final concentration of 30 &#181;M. Let equilibrate for 5 min.</li>
	<li>Warm the microscope stage to 35 &#176;C. Choose the same microscope settings as for ratiometric pH imaging. Place the 96-well plate on the microscope stage. Focus on the bottom of the wells. Acquire two images (green and red channel) for all buffer solutions, 5 &#181;m above the bottom of the well. At regular intervals, take images with the laser turned off to correct for detector offset.</li>
	<li>Perform the calibration experiment in triplicate.</li>
	<li>Export all images as TIF files. Import them into dedicated image analysis software (i.e., ImageJ20). Subtract the images taken with the laser turned off from the respective images of the buffer solutions by clicking Process | Image Calculator | Subtract). 
	NOTE: If necessary, crop the images to eliminate artifacts at the image borders by performing rectangular selection using Image | Crop.</li>
	<li>Divide the green channel images through the red channel images and calculate the average fluorescence intensities in the resulting images by clicking Analyze | Histogram.</li>
	<li>From the triplicate experiments, plot the average green/red ratios against the pH. Use dedicated software to fit a function to the calibration data (i.e., MyCurveFit).</li>
</ol>
4. Digital Image Analysis
NOTE:Digital image analysis can be performed at any time point after calibration of the dye and ratiometric pH imaging.
<ol>
	<li>Store the green and red channel biofilm images in separate folders and rename both series of files with sequential numbers (e.g., GREEN_0001). Import the images into dedicated image analysis software (i.e., ImageJ). Click Analyze | Histogram to determine the average fluorescence intensity in the images taken with the laser off and subtract the value from the biofilm images by clicking Process | Math | Subtract.</li>
	<li>Import the 2 image series into dedicated image analysis software (i.e., daime21). Perform a threshold-based segmentation of the red channel images (Segment | Automatic segmentation | Custom threshold). Set the &#39;low&#39; threshold above the fluorescence intensity of the fungal cytoplasm and the &#39;high&#39; threshold below the intensity of the fungal cell walls and the bacteria. 
	NOTE:When appropriate thresholds have been chosen, only extracellular areas are recognized as objects.</li>
	<li>Transfer the object layer of the segmented image series to the green channel image series. To do so, click Segment | Transfer object layer. 
	NOTE: If the contrast between extracellular areas and fungal cytoplasm is too weak in the individual color channels, add the green channel image series to the red channel series prior to segmentation by clicking Edit | Image calculator | Addition. Perform the segmentation as described under 4.2 and transfer the object layer of the segmented image series to both the green and the red channel image series.</li>
	<li>Employ the object editor to delete non-object pixels in the red and green channel image series (Visualizer | Object editor | In all images | Delete non-object pixels). Now the biofilm images are cleared from both bacterial and fungal cells. Export the processed image series as TIF files.</li>
	<li>Import both image series to ImageJ. ImageJ assigns an intensity of 0 to all non-object pixels. Remove those pixels by dividing the red image series (R1) by itself (Process | Image calculator | Image 1: R1; Operation: Divide; Image 2: R1) and multiplying the resulting image series (R2) with the original red image series (Process | Image calculator | Image 1: R1; Operation: Multiply; Image 2: R2). A third image series (R3) is created, identical to R1, except for the fact that NaN is assigned to all pixels with an intensity of 0 in R1. Proceed in the same way with the green image series.</li>
	<li>Use the &#39;Mean&#39; filter (Process | Filters | Mean | Radius | 1 pixel) on the red and green channel image series to compensate for detector noise. Divide the green channel image series by the red channel image series (Process | Image calculator | Image 1: G3; Operation: Divide; Image 2: R3). The resulting image series (G3/R3) shows the green/red ratio for all object pixels.</li>
	<li>Calculate the average ratio for each image (Analyze | Histogram). Apply false coloring for better visual representation of the ratios in the images (Image | Lookup Tables). Convert the green/red ratios to pH values employing the function fitted under 3.6.</li>
</ol>

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The authors have nothing to disclose.

Different protocols for the cultivation of cross-kingdom biofilms involving C. albicans and Streptococcus spp. have been described previously9,22,23,24,25. However, the present setup focuses on simple growth conditions, a time schedule compatible with regular working days, a balanced species composition, and the development of a volu...

Cross-kingdom biofilms comprising both fungal and bacterial species are involved in several pathologic conditions in the oral cavity. Candida spp. have frequently been isolated from endodontic infections1 and from periodontal lesions2,3. In mucosal infections, streptococcal species from the mitis group have been shown to enhance fungal biofilm formation, tissue invasion, and dissemination in both in vitro and murine models4,5,6,7. Most interestingly, oral carriage of Candida spp. has been proven to be associated with the prevalence of caries in children8. As shown in rodent models, a symbiotic relationship between Streptococcus mutans and Candidas albicans increases the production of extracellular polysaccharides and leads to the formation of thicker and more cariogenic biofilms9,10.
In all of the above-mentioned conditions, early childhood caries in particular, the biofilm pH is of importance for disease progression, and the eminent role of the biofilm matrix for the development of acidogenic microenvironments11 calls for methodologies that allow studying pH changes inside cross-kingdom biofilms. Simple and accurate confocal microscopy-based approaches to monitor pH inside bacterial12 and fungal13 biofilms have been developed. With the ratiometric dye C-SNARF-4 and threshold-based image post-processing, extracellular pH can be determined in real-time in all three dimensions of a biofilm14. Compared to other published techniques for microscopy-based pH-monitoring in biofilms, pH ratiometry with C-SNARF-4 is simple and cheap, because it does not require the synthesis of particles or compounds that include a reference dye15 or the use of two-photon excitation16. The use of just one dye prevents problems with probe compartmentalization, fluorescent bleed-through, and selective bleaching16,17,18 while still allowing for a reliable differentiation between intra- and extracellular pH. Finally, incubation with the dye is performed after biofilm growth, which allows studying both laboratory and in situ-grown biofilms.
The aim of the present work is to extend the use of pH ratiometry and provide a method to study pH changes in cross-kingdom biofilms. As proof of concept, the method is used to monitor pH in dual species biofilms consisting of S. mutans and C. albicans exposed to glucose.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>Blood agar plates</td>
			<td>Statens Serum Institut</td>
			<td>677</td>
			<td></td>
		</tr>
		<tr>
			<td>Brain heart infusion</td>
			<td>Oxoid</td>
			<td>CM1135</td>
			<td></td>
		</tr>
		<tr>
			<td>Brain heart infusion + 5 % sucrose</td>
			<td>BDH laboratory supplies</td>
			<td>10274</td>
			<td></td>
		</tr>
		<tr>
			<td>Candida albicans</td>
			<td>National Collection of Pathogenic Fungi</td>
			<td>NCPF 3179</td>
			<td></td>
		</tr>
		<tr>
			<td>D-(+)-Glucose</td>
			<td>Sigma-Aldrich</td>
			<td>G8270</td>
			<td></td>
		</tr>
		<tr>
			<td>daime: digital image analysis in microbial ecology</td>
			<td>Universit&#228;t Wien</td>
			<td>N/A</td>
			<td>Freeware; V2.1; <a href="https://dome.csb.univie.ac.at/daime" target="_blank">https://dome.csb.univie.ac.at/daime</a></td>
		</tr>
		<tr>
			<td>Dimethyl sulfoxide</td>
			<td>Life Technologies</td>
			<td>D12345</td>
			<td></td>
		</tr>
		<tr>
			<td>Fetal bovine serum</td>
			<td>Gibco Life technologies</td>
			<td>10270</td>
			<td></td>
		</tr>
		<tr>
			<td>GS-6R refrigerated centrifuge</td>
			<td>Beckman</td>
			<td>N/A</td>
			<td></td>
		</tr>
		<tr>
			<td>ImageJ</td>
			<td>National Institutes of Health</td>
			<td>N/A</td>
			<td>Freeware; V1.46r; <a href="https://imagej.nih.gov/ij" target="_blank">https://imagej.nih.gov/ij</a></td>
		</tr>
		<tr>
			<td>Java</td>
			<td>Oracle</td>
			<td>N/A</td>
			<td>Freeware necessary to run ImageJ; V8.0; <a href="https://java.com/en/download" target="_blank">https://java.com/en/download</a></td>
		</tr>
		<tr>
			<td>&#181;-Plate 96 Well Black</td>
			<td>Ibidi</td>
			<td>89626</td>
			<td></td>
		</tr>
		<tr>
			<td>MyCurveFit</td>
			<td>MyAssays Ltd.</td>
			<td>N/A</td>
			<td></td>
		</tr>
		<tr>
			<td>2-(N-Morpholino)ethanesulfonic acid (MES) buffer</td>
			<td>Bioworld</td>
			<td>700728</td>
			<td></td>
		</tr>
		<tr>
			<td>PHM210 pH-meter</td>
			<td>Radiometer Analytical</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Plan-Apochromat 63x oil immersion objective</td>
			<td>Zeiss</td>
			<td>N/A</td>
			<td>NA=1.4</td>
		</tr>
		<tr>
			<td>SNARF&#174;-4F 5-(and-6)-Carboxylic Acid</td>
			<td>Life Technologies</td>
			<td>S23920</td>
			<td></td>
		</tr>
		<tr>
			<td>Sterile physiological saline</td>
			<td>VWR</td>
			<td>6404</td>
			<td></td>
		</tr>
		<tr>
			<td>Streptococcus mutans</td>
			<td>Deutsche Sammlung von Mikroorganismen und Zellkulturen</td>
			<td>DSM 20523</td>
			<td></td>
		</tr>
		<tr>
			<td>Vis-spectrophotometer V-3000PC</td>
			<td>VWR</td>
			<td>N/A</td>
			<td></td>
		</tr>
		<tr>
			<td>XL Incubator</td>
			<td>PeCON</td>
			<td>N/A</td>
			<td></td>
		</tr>
		<tr>
			<td>Zeiss LSM 510 META</td>
			<td>Zeiss</td>
			<td>N/A</td>
			<td></td>
		</tr>
	</tbody>
</table>

monitoring extracellular ph in cross-kingdom biofilms using confocal microscopy

Cross-kingdom biofilms consisting of both fungal and bacterial cells are involved in a variety of oral diseases, such as endodontic infections, periodontitis, mucosal infections and, most notably, early childhood caries. In all of these conditions, the pH in the biofilm matrix impacts microbe-host interactions and thus the disease progression. The present protocol describes a confocal microscopy-based method to monitor pH dynamics inside cross-kingdom biofilms comprising Candida albicans and Streptococcus mutans. The pH-dependent dual-emission spectrum and the staining properties of the ratiometric probe C-SNARF-4 are exploited to determine drops in pH in extracellular areas of the biofilms. Use of pH ratiometry with the probe requires a meticulous choice of imaging parameters, a thorough calibration of the dye, and careful, threshold-based post-processing of the image data. When used correctly, the technique allows for the rapid assessment of extracellular pH in different areas of a biofilm and thus the monitoring of both horizontal and vertical pH gradients over time. While the use of confocal microscopy limits Z-profiling to thin biofilms of 75 &#181;m or less, the use of pH ratiometry is ideally suited for the noninvasive study of an important virulence factor in cross-kingdom biofilms.

After 24 h and 48 h, robust cross-kingdom biofilms developed in the well plates. C. albicans showed varying degrees of filamentous growth, and S. mutans formed dense clusters of up to 35 &#181;m in height. Single cells and chains of S. mutans grouped around fungal hyphae, and large intercellular spaces indicated the presence of a voluminous matrix (Figure S1).
Calibration of the ratiometric dye yields an asymmetrical sigmoidal curve...

Watch this Scientific Journal Video about Monitoring Extracellular pH in Cross-Kingdom Biofilms using Confocal Microscopy at JoVE.com

Monitoring Extracellular pH in Cross-Kingdom Biofilms using Confocal Microscopy

The protocol describes the cultivation of cross-kingdom biofilms consisting of Candida albicans and Streptococcus mutans and presents a confocal microscopy-based method for the monitoring of extracellular pH inside these biofilms.

Cross-kingdom biofilms consisting of both fungal and bacterial cells are involved in a variety of oral diseases, such as endodontic infections, ...

monitoring-extracellular-ph-cross-kingdom-biofilms-using-confocal

Research

JoVE Journal

Immunology and Infection

6.3K Views.  Aarhus University. The protocol describes the cultivation of cross-kingdom biofilms consisting of Candida albicans and Streptococcus mutans and presents a confocal microscopy-based method for the monitoring of extracellular pH inside these biofilms.

Video: Monitoring Extracellular pH in Cross-Kingdom Biofilms using Confocal Microscopy

Neutrophil Extracellular Traps: How to Generate and Visualize Them

Neutrophil granulocytes are the most abundant group of leukocytes in the peripheral blood. As professional phagocytes, they engulf bacteria and kill them intracellularly when their antimicrobial granules fuse with the phagosome. We found that neutrophils have an additional way of killing microorganisms: upon activation, they release granule proteins and chromatin that together form extracellular fibers that bind pathogens. These novel structures, or Neutrophil Extracellular Traps (NETs), degrade virulence factors and kill bacteria1, fungi2 and parasites3. The structural backbone of NETs is DNA, and they are quickly degraded in the presence of DNases. Thus, bacteria expressing DNases are more virulent4. Using correlative microscopy combining TEM, SEM, immunofluorescence and live cell imaging techniques, we could show that upon stimulation, the nuclei of neutrophils lose their shape and the eu- and heterochromatin homogenize. Later, the nuclear envelope and the granule membranes disintegrate allowing the mixing of NET components. Finally, the NETs are released as the cell membrane breaks. This cell death program (NETosis) is distinct from apoptosis and necrosis and depends on the generation of Reactive Oxygen Species by NADPH oxidase5. 
Neutrophil extracellular traps are abundant at sites of acute inflammation. NETs appear to be a form of innate immune response that bind microorganisms, prevent them from spreading, and ensure a high local concentration of antimicrobial agents to degrade virulence factors and kill pathogens thus allowing neutrophils to fulfill their antimicrobial function even beyond their life span. There is increasing evidence, however, that NETs are also involved in diseases that range from auto-immune syndromes to infertility6.
We describe methods to isolate Neutrophil Granulocytes from peripheral human blood7 and stimulate them to form NETs. Also we include protocols to visualize the NETs in light and electron microscopy.

Neutrophil Extracellular Traps (NETs) are an important innate immune mechanism to fight pathogenic bacteria, fungi and parasites. Here we describe methods to isolate neutrophil granulocytes from human blood and to activate them to form NETs. We present preparation techniques to visualize NETs in light and electron microscopy.

Neutrophil granulocytes are the most abundant group of leukocytes in the peripheral blood. As professional phagocytes, they engulf bacteria and kill them ...

Visualizing Cell-to-cell Transfer of HIV using Fluorescent Clones of HIV and Live Confocal Microscopy

By fusing the green fluorescent protein to their favorite proteins, biologists now have the ability to study living complex cellular processes using fluorescence video microscopy. To track the movements of the human immunodeficiency virus core protein during cell-to-cell transmission of human immunodeficiency virus, we have GFP-tagged the Gag protein in the context of an infectious molecular clone of HIV, called HIV Gag-iGFP. We study this viral clone using video confocal microscopy. In the following visualized experiment, we transfect a human T cell line with HIV Gag-iGFP, and we use fluorescently labeled uninfected CD4+ T cells to serve as target cells for the virus. Using the different fluorescent labels we can readily follow viral production and transport across intercellular structures called virological synapses. Simple gas permeable imaging chambers allow us to observe synapses with live confocal microscopy from minutes to days. These approaches can be used to track viral proteins as they move in from one cell to the next.

This visualized experiment is a guide for utilizing a fluorescent molecular clone of HIV for live confocal imaging experiments.

By fusing the green fluorescent protein to their favorite proteins, biologists now have the ability to study living complex cellular processes using ...

A 96 Well Microtiter Plate-based Method for Monitoring Formation and Antifungal Susceptibility Testing of Candida albicans Biofilms

Candida albicans remains the most frequent cause of fungal infections in an expanding population of compromised patients and candidiasis is now the third most common infection in US hospitals. Different manifestations of candidiasis are associated with biofilm formation, both on host tissues and/or medical devices (i.e. catheters). Biofilm formation carries negative clinical implications, as cells within the biofilms are protected from host immune responses and from the action of antifungals. We have developed a simple, fast and robust in vitro model for the formation of C. albicans biofilms using 96 well microtiter-plates, which can also be used for biofilm antifungal susceptibility testing. The readout of this assay is colorimetric, based on the reduction of XTT (a tetrazolium salt) by metabolically active fungal biofilm cells. A typical experiment takes approximately 24 h for biofilm formation, with an additional 24 h for antifungal susceptibility testing. Because of its simplicity and the use of commonly available laboratory materials and equipment, this technique democratizes biofilm research and represents an important step towards the standardization of antifungal susceptibility testing of fungal biofilms.

A 96 Well Microtiter Plate-based Method for Monitoring Formation and Antifungal Susceptibility Testing of Candida albicans Biofilms

We describe a simple, rapid and robust method for the formation of Candida albicans biofilms using 96 well microtiter plates and its utility in antifungal susceptibility testing of cells within biofilms.

Candida albicans remains the most frequent cause of fungal infections in an expanding population of compromised patients and candidiasis is now the third ...

Intravital Microscopy of the Spleen: Quantitative Analysis of Parasite Mobility and Blood Flow

The advent of intravital microscopy in experimental rodent malaria models has allowed major advances to the knowledge of parasite-host interactions 1,2. Thus, in vivo imaging of malaria parasites during pre-erythrocytic stages have revealed the active entrance of parasites into skin lymph nodes 3, the complete development of the parasite in the skin 4, and the formation of a hepatocyte-derived merosome to assure migration and release of merozoites into the blood stream 5. Moreover, the development of individual parasites in erythrocytes has been recently documented using 4D imaging and challenged our current view on protein export in malaria 6. Thus, intravital imaging has radically changed our view on key events in Plasmodium development. Unfortunately, studies of the dynamic passage of malaria parasites through the spleen, a major lymphoid organ exquisitely adapted to clear infected red blood cells are lacking due to technical constraints.
Using the murine model of malaria Plasmodium yoelii in Balb/c mice, we have implemented intravital imaging of the spleen and reported a differential remodeling of it and adherence of parasitized red blood cells (pRBCs) to barrier cells of fibroblastic origin in the red pulp during infection with the non-lethal parasite line P.yoelii 17X as opposed to infections with the P.yoelii 17XL lethal parasite line 7. To reach these conclusions, a specific methodology using ImageJ free software was developed to enable characterization of the fast three-dimensional movement of single-pRBCs. Results obtained with this protocol allow determining velocity, directionality and residence time of parasites in the spleen, all parameters addressing adherence in vivo. In addition, we report the methodology for blood flow quantification using intravital microscopy and the use of different colouring agents to gain insight into the complex microcirculatory structure of the spleen. 
Ethics statement
All the animal studies were performed at the animal facilities of University of Barcelona in accordance with guidelines and protocols approved by the Ethics Committee for Animal Experimentation of the University of Barcelona CEEA-UB (Protocol No DMAH: 5429). Female Balb/c mice of 6-8 weeks of age were obtained from Charles River Laboratories.

We show the method for performing intravital microscopy of the spleen using GFP transgenic malaria parasites and the quantification of parasite mobility and blood flow within this organ.

The advent of intravital microscopy in experimental rodent malaria models has allowed major advances to the knowledge of parasite-host interactions 1,2. ...

Single-cell Analysis of Bacillus subtilis Biofilms Using Fluorescence Microscopy and Flow Cytometry

Biofilm formation is a general attribute to almost all bacteria 1-6. When bacteria form biofilms, cells are encased in extracellular matrix that is mostly constituted by proteins and exopolysaccharides, among other factors 7-10. The microbial community encased within the biofilm often shows the differentiation of distinct subpopulation of specialized cells 11-17. These subpopulations coexist and often show spatial and temporal organization within the biofilm 18-21.
Biofilm formation in the model organism Bacillus subtilis requires the differentiation of distinct subpopulations of specialized cells. Among them, the subpopulation of matrix producers, responsible to produce and secrete the extracellular matrix of the biofilm is essential for biofilm formation 11,19. Hence, differentiation of matrix producers is a hallmark of biofilm formation in B. subtilis.
We have used fluorescent reporters to visualize and quantify the subpopulation of matrix producers in biofilms of B. subtilis 15,19,22-24. Concretely, we have observed that the subpopulation of matrix producers differentiates in response to the presence of self-produced extracellular signal surfactin 25. Interestingly, surfactin is produced by a subpopulation of specialized cells different from the subpopulation of matrix producers 15.
We have detailed in this report the technical approach necessary to visualize and quantify the subpopulation of matrix producers and surfactin producers within the biofilms of B. subtilis. To do this, fluorescent reporters of genes required for matrix production and surfactin production are inserted into the chromosome of B. subtilis. Reporters are expressed only in a subpopulation of specialized cells. Then, the subpopulations can be monitored using fluorescence microscopy and flow cytometry (See Fig 1).
The fact that different subpopulations of specialized cells coexist within multicellular communities of bacteria gives us a different perspective about the regulation of gene expression in prokaryotes. This protocol addresses this phenomenon experimentally and it can be easily adapted to any other working model, to elucidate the molecular mechanisms underlying phenotypic heterogeneity within a microbial community.

Single-cell Analysis of Bacillus subtilis Biofilms Using Fluorescence Microscopy and Flow Cytometry

Microbial biofilms are generally constituted by distinct subpopulations of specialized cells. Single-cell analysis of these subpopulations requires the use of fluorescent reporters. Here we describe a protocol to visualize and monitor several subpopulationswithin B. subtilis biofilms using fluorescence microscopy and flow cytometry.

Biofilm formation is a general attribute to almost all bacteria 1-6. When bacteria form biofilms, cells are encased in extracellular matrix that is mostly ...

Concurrent Quantification of Cellular and Extracellular Components of Biofilms

Confocal laser scanning microscopy (CLSM) is a powerful tool for investigation of biofilms. Very few investigations have successfully quantified concurrent distribution of more than two components within biofilms because: 1)&#160;selection of fluorescent dyes having minimal spectral overlap is complicated, and 2)&#160;quantification of multiple fluorochromes poses a multifactorial problem. Objectives: Report a methodology to quantify and compare concurrent 3-dimensional distributions of three cellular/extracellular components of biofilms grown on relevant substrates. Methods: The method consists of distinct, interconnected steps involving biofilm growth, staining, CLSM imaging, biofilm structural analysis and visualization, and statistical analysis of structural parameters. Biofilms of Streptococcus mutans (strain UA159) were grown for 48 hr on sterile specimens of Point 4 and TPH3 resin composites. Specimens were subsequently immersed for 60 sec in either Biot&#232;ne PBF (BIO) or Listerine Total Care (LTO) mouthwashes, or water (control group; n=5/group). Biofilms were stained with fluorochromes for extracellular polymeric substances, proteins and nucleic acids before imaging with CLSM. Biofilm structural parameters calculated using ISA3D image analysis software were biovolume and mean biofilm thickness. Mixed models statistical analyses compared structural parameters between mouthwash and control groups (SAS software; &#945;=0.05). Volocity software permitted visualization of 3D distributions of overlaid biofilm components (fluorochromes). Results: Mouthwash BIO produced biofilm structures that differed significantly from the control (p&#60;0.05) on both resin composites, whereas LTO did not produce differences (p&#62;0.05) on either product. Conclusions: This methodology efficiently and successfully quantified and compared concurrent 3D distributions of three major components within S. mutans biofilms on relevant substrates, thus overcoming two challenges to simultaneous assessment of biofilm components. This method can also be used to determine the efficacy of antibacterial/antifouling agents against multiple biofilm components, as shown using mouthwashes. Furthermore, this method has broad application because it facilitates comparison of 3D structures/architecture of biofilms in a variety of disciplines.

A protocol for the concurrent quantification and comparison of three cellular and extracellular components within biofilms is presented. The methodology involves the use of confocal laser scanning microscopy, biofilm structural analysis and visualization software, and statistical analysis software.

Confocal laser scanning microscopy (CLSM) is a powerful tool for investigation of biofilms. Very few investigations have successfully quantified ...

Assessing Anti-fungal Activity of Isolated Alveolar Macrophages by Confocal Microscopy

The lung is an interface where host cells are routinely exposed to microbes and microbial products. Alveolar macrophages are the first-line phagocytic cells that encounter inhaled fungi and other microbes. Macrophages and other immune cells recognize Aspergillus motifs by pathogen recognition receptors and initiate downstream inflammatory responses. The phagocyte NADPH oxidase generates reactive oxygen intermediates (ROIs) and is critical for host defense. Although NADPH oxidase is critical for neutrophil-mediated host defense1-3, the importance of NADPH oxidase in macrophages is not well defined. The goal of this study was to delineate the specific role of NADPH oxidase in macrophages in mediating host defense against A. fumigatus. We found that NADPH oxidase in alveolar macrophages controls the growth of phagocytosed A. fumigatus spores4. Here, we describe a method for assessing the ability of mouse alveolar macrophages (AMs) to control the growth of phagocytosed Aspergillus spores (conidia). Alveolar macrophages are stained in vivo and ten days later isolated from mice by bronchoalveolar lavage (BAL). Macrophages are plated onto glass coverslips, then seeded with green fluorescent protein (GFP)-expressing A. fumigatus spores. At specified times, cells are fixed and the number of intact macrophages with phagocytosed spores is assessed by confocal microscopy.

A method to evaluate the ability of isolated mouse alveolar macrophages to control the growth of phagocytosed Aspergillus spores by confocal microscopy.

The lung is an interface where host cells are routinely exposed to microbes and microbial products. Alveolar macrophages are the first-line phagocytic ...

Measuring Phagosome pH by Ratiometric Fluorescence Microscopy

Phagocytosis is a fundamental process through which innate immune cells engulf bacteria, apoptotic cells or other foreign particles in order to kill or neutralize the ingested material, or to present it as antigens and initiate adaptive immune responses. The pH of phagosomes is a critical parameter regulating fission or fusion with endomembranes and activation of proteolytic enzymes, events that allow the phagocytic vacuole to mature into a degradative organelle. In addition, translocation of H+ is required for the production of high levels of reactive oxygen species (ROS), which are essential for efficient killing and signaling to other host tissues. Many intracellular pathogens subvert phagocytic killing by limiting phagosomal acidification, highlighting the importance of pH in phagosome biology. Here we describe a ratiometric method for measuring phagosomal pH in neutrophils using fluorescein isothiocyanate (FITC)-labeled zymosan as phagocytic targets, and live-cell imaging. The assay is based on the fluorescence properties of FITC, which is quenched by acidic pH when excited at 490 nm but not when excited at 440 nm, allowing quantification of a pH-dependent ratio, rather than absolute fluorescence, of a single dye. A detailed protocol for performing in situ dye calibration and conversion of ratio to real pH values is also provided. Single-dye ratiometric methods are generally considered superior to single wavelength or dual-dye pseudo-ratiometric protocols, as they are less sensitive to perturbations such as bleaching, focus changes, laser variations, and uneven labeling, which distort the measured signal. This method can be easily modified to measure pH in other phagocytic cell types, and zymosan can be replaced by any other amine-containing particle, from inert beads to living microorganisms. Finally, this method can be adapted to make use of other fluorescent probes sensitive to different pH ranges or other phagosomal activities, making it a generalized protocol for the functional imaging of phagosomes.

Phagosomal pH influences phagosome maturation, oxidant production, phagosomal killing as well as antigen presentation. Here we describe a ratiometric method for measuring time-course and endpoint pH changes in individual phagosomes in living phagocytes using fluorescence microscopy.

Phagocytosis is a fundamental process through which innate immune cells engulf bacteria, apoptotic cells or other foreign particles in order to kill or ...

Ratiometric Imaging of Extracellular pH in Dental Biofilms

The pH in bacterial biofilms on teeth is of central importance for dental caries, a disease with a high worldwide prevalence. Nutrients and metabolites are not distributed evenly in dental biofilms. A complex interplay of sorption to and reaction with organic matter in the biofilm reduces the diffusion paths of solutes and creates steep gradients of reactive molecules, including organic acids, across the biofilm. Quantitative fluorescent microscopic methods, such as fluorescence life time imaging or pH ratiometry, can be employed to visualize pH in different microenvironments of dental biofilms. pH ratiometry exploits a pH-dependent shift in the fluorescent emission of pH-sensitive dyes. Calculation of the emission ratio at two different wavelengths allows determining local pH in microscopic images, irrespective of the concentration of the dye. Contrary to microelectrodes the technique allows monitoring both vertical and horizontal pH gradients in real-time without mechanically disturbing the biofilm. However, care must be taken to differentiate accurately between extra- and intracellular compartments of the biofilm. Here, the ratiometric dye, seminaphthorhodafluor-4F 5-(and-6) carboxylic acid (C-SNARF-4) is employed to monitor extracellular pH in in vivo grown dental biofilms of unknown species composition. Upon exposure to glucose the dye is up-concentrated inside all bacterial cells in the biofilms; it is thus used both as a universal bacterial stain and as a marker of extracellular pH. After confocal microscopic image acquisition, the bacterial biomass is removed from all pictures using digital image analysis software, which permits to exclusively calculate extracellular pH. pH ratiometry with the ratiometric dye is well-suited to study extracellular pH in thin biofilms of up to 75 &#181;m thickness, but is limited to the pH range between 4.5 and 7.0.

A pH-sensitive ratiometric dye is used in combination with confocal laser scanning microscopy and digital image analysis to monitor extracellular pH in dental biofilms in real-time.

The pH in bacterial biofilms on teeth is of central importance for dental caries, a disease with a high worldwide prevalence. Nutrients and metabolites ...

Methodologies for Studying B. subtilis Biofilms as a Model for Characterizing Small Molecule Biofilm Inhibitors

This work assesses different methodologies to study the impact of small molecule biofilm inhibitors, such as D-amino acids, on the development and resilience of Bacillus subtilis biofilms. First, methods are presented that select for small molecule inhibitors with biofilm-specific targets in order to separate the effect of the small molecule inhibitors on planktonic growth from their effect on biofilm formation. Next, we focus on how inoculation conditions affect the sensitivity of multicellular, floating B. subtilis cultures to small molecule inhibitors. The results suggest that discrepancies in the reported effects of such inhibitors such as D-amino acids are due to inconsistent pre-culture conditions. Furthermore, a recently developed protocol is described for evaluating the contribution of small molecule treatments towards biofilm resistance to antibacterial substances. Lastly, scanning electron microscopy (SEM) techniques are presented to analyze the three-dimensional spatial arrangement of cells and their surrounding extracellular matrix in a B. subtilis biofilm. SEM facilitates insight into the three-dimensional biofilm architecture and the matrix texture. A combination of the methods described here can greatly assist the study of biofilm development in the presence and absence of biofilm inhibitors, and shed light on the mechanism of action of these inhibitors.

Methodologies for Studying B. subtilis Biofilms as a Model for Characterizing Small Molecule Biofilm Inhibitors

This study presents the development of reproducible methodologies to study biofilm inhibitors and their effects on Bacillus subtilis multicellularity.