We are thankful to Dr. Kaite Zlotkowski of Biotek Inc. for their technical support. We also thank Dr. Lori Burrows, McMaster University, for the generous gift of the Pseudomonas strains.This work was supported by the Department of Defense under contract number W911NF1920013 to PdF; the Defense Advanced Research Projects Agency (DARPA) and the Department of Interior under Contract No. 140D6319C0029 to PdF. The content of the information does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.

1. A549 cell culture
<ol>
	<li>Maintain the A549 cell line in F-12K medium supplemented with 10% fetal bovine serum (FBS) and incubate at 37 &#176;C, 5% CO2.</li>
	<li>Change the medium every 3-4 days and passage at 85%-95% confluency.</li>
	<li>Briefly, rinse the cells with 1 x phosphate-buffered saline (PBS, pH 7.4, unless otherwise indicated) and treat with 1 ml of 0.25% Trypsin-0.53 mM ethylenediaminetetraacetic acid (EDTA) solution (submerging the cell layer) for about 2 min at 37 &#176;C.</li>
	<li>Add...

<ol>
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E. M., Stornello, C., Crax&#236;, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=SARS-CoV-2+infection+in+patients+with+a+normal+or+abnormal+liver.">SARS-CoV-2 infection in patients with a normal or abnormal liver.</a> Journal of Viral Hepatitis. 28 (1), 4-11 (2021).</li><li>Ortiz-Prado, E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Clinical,+molecular,+and+epidemiological+characterization+of+the+SARS-CoV-2+virus+and+the+Coronavirus+Disease+2019+(COVID-19),+a+comprehensive+literature+review.">Clinical, molecular, and epidemiological characterization of the SARS-CoV-2 virus and the Coronavirus Disease 2019 (COVID-19), a comprehensive literature review.</a> Diagnostic Microbiology and Infectious Disease. 98 (1), 115094 (2020).</li><li>Chang, C. C., Senining, R., Kim, J., Goyal, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+acute+pulmonary+coccidioidomycosis+coinfection+in+a+patient+presenting+with+multifocal+pneumonia+with+COVID-19.">An acute pulmonary coccidioidomycosis coinfection in a patient presenting with multifocal pneumonia with COVID-19.</a> Journal of Investigative Medicine High Impact Case Reports. 8, (2020).</li><li>Woo, V., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Microbiota+inhibit+epithelial+pathogen+adherence+by+epigenetically+regulating+C-type+lectin+expression.">Microbiota inhibit epithelial pathogen adherence by epigenetically regulating C-type lectin expression.</a> Frontiers in Immunology. 10, 928 (2019).</li><li>Pandey, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Global+reprogramming+of+host+kinase+signaling+in+response+to+fungal+infection.">Global reprogramming of host kinase signaling in response to fungal infection.</a> Cell Host Microbe. 21 (5), 637-649 (2017).</li><li>Ding, S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Interactions+between+fungal+hyaluronic+acid+and+host+CD44+promote+internalization+by+recruiting+host+autophagy+proteins+to+forming+phagosomes.">Interactions between fungal hyaluronic acid and host CD44 promote internalization by recruiting host autophagy proteins to forming phagosomes.</a> iScience. 24 (3), 102192 (2021).</li><li>Qin, Q. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=RNAi+screen+of+endoplasmic+reticulum-associated+host+factors+reveals+a+role+for+IRE1alpha+in+supporting+Brucella+replication.">RNAi screen of endoplasmic reticulum-associated host factors reveals a role for IRE1alpha in supporting Brucella replication.</a> PLoS Pathogens. 4 (7), 1000110 (2008).</li><li>Qin, Q. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Functional+analysis+of+host+factors+that+mediate+the+intracellular+lifestyle+of+Cryptococcus+neoformans.">Functional analysis of host factors that mediate the intracellular lifestyle of Cryptococcus neoformans.</a> PLoS Pathogens. 7 (6), 1002078 (2011).</li><li>Qin, Q. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+tractable+Drosophila+cell+system+enables+rapid+identification+of+Acinetobacter+baumannii+host+factors.">A tractable Drosophila cell system enables rapid identification of Acinetobacter baumannii host factors.</a> Frontiers in Cellular and Infection Microbiology. 10, 240 (2020).</li><li>Pandey, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Activation+of+host+IRE1&#945;-dependent+signaling+axis+contributes+the+intracellular+parasitism+of+Brucella+melitensis.">Activation of host IRE1&#945;-dependent signaling axis contributes the intracellular parasitism of Brucella melitensis.</a> Frontiers in Cellular and Infection Microbiology. 8, 103 (2018).</li><li>Chi, E., Mehl, T., Nunn, D., Lory, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Interaction+of+Pseudomonas+aeruginosa+with+A549+pneumocyte+cells.">Interaction of Pseudomonas aeruginosa with A549 pneumocyte cells.</a> Infection and Immunity. 59 (3), 822-828 (1990).</li><li>G&#246;tz, R., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Nanoscale+imaging+of+bacterial+infections+by+sphingolipid+expansion+microscopy.">Nanoscale imaging of bacterial infections by sphingolipid expansion microscopy.</a> Nature Communications. 11, 6173 (2020).</li><li>Lim, Y., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mechanically+resolved+imaging+of+bacteria+using+expansion+microscopy.">Mechanically resolved imaging of bacteria using expansion microscopy.</a> PLOS Biology. 17 (10), 3000268 (2019).</li><li>Bratton, B. P., Barton, B., Morgenstein, R. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Three-dimensional+Imaging+of+bacterial+cells+for+accurate+cellular+representations+and+precise+protein+localization.">Three-dimensional Imaging of bacterial cells for accurate cellular representations and precise protein localization.</a> Journal of Visualized Experiments. (152), e60350 (2019).</li><li>Hoffmann, S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High-throughput+quantification+of+bacterial-cell+interactions+using+virtual+colony+counts.">High-throughput quantification of bacterial-cell interactions using virtual colony counts.</a> Frontiers in Cellular and Infection Microbiology. 8, 43 (2018).</li><li>Hazan, R., Que, Y. -. A., Maura, D., Rahme, L. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+method+for+high+throughput+determination+of+viable+bacteria+cell+counts+in+96-well+plates.">A method for high throughput determination of viable bacteria cell counts in 96-well plates.</a> BMC Microbiology. 12 (1), 259 (2012).</li><li>Gellatly, S. L., Hancock, R. E. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Pseudomonas+aeruginosa:+new+insights+into+pathogenesis+and+host+defenses.">Pseudomonas aeruginosa: new insights into pathogenesis and host defenses.</a> Pathogens and Disease. 67, 159-173 (2013).</li><li>Jiang, R. D., Shen, H., Piao, Y. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+morphometrical+analysis+on+the+ultrastructure+of+A549+cells.">The morphometrical analysis on the ultrastructure of A549 cells.</a> Romanian Journal of Morphology and Embryology. 51 (4), 663-667 (2010).</li><li>Farinha, M. A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Alteration+of+the+pilin+adhesin+of+Pseudomonas+aeruginosa+PAO+results+in+normal+pilus+biogenesis+but+a+loss+of+adherence+to+human+pneumocyte+cells+and+decreased+virulence+in+mice.">Alteration of the pilin adhesin of Pseudomonas aeruginosa PAO results in normal pilus biogenesis but a loss of adherence to human pneumocyte cells and decreased virulence in mice.</a> Infection and Immunity. 62 (10), 4118-4123 (1994).</li><li>R&#233;glier-Poupet, H., Pellegrini, E., Charbit, A., Berche, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Identification+of+LpeA,+a+PsaA-Like+membrane+protein+that+promotes+cell+entry+by+Listeria+monocytogenes.">Identification of LpeA, a PsaA-Like membrane protein that promotes cell entry by Listeria monocytogenes.</a> Infection and immunity. 71 (1), 474-482 (2003).</li><li>Ortega, F. E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Adhesion+to+the+host+cell+surface+is+sufficient+to+mediate+Listeria+monocytogenes+entry+into+epithelial+cells.">Adhesion to the host cell surface is sufficient to mediate Listeria monocytogenes entry into epithelial cells.</a> Molecular Biology of the Cell. 28 (22), 2945-2957 (2017).</li></ol>

All authors have no conflicts of interest to disclose.

The protocol describes an automated approach for enumerating bacterial attachment to host cells. The described approach has several attractive advantages over conventional methods. First, this approach enables the precise quantification of the number of microbial pathogen cells that are attached to individual host cells. Importantly, this quantification can be performed without the need for laborious bacterial harvesting, serial dilutions, plating on solid media, and determination of CFUs10,<...

An erratum was issued for:&#160;<a href="https://www.jove.com/t/62764">Automated, High-Throughput Detection of Bacterial Adherence to Host Cells</a>. The Authors section was updated.
The Authors section was updated from:
Jing Yang1, Qing-Ming Qin1, Paul de Figueiredo1,2 
1Department of Microbial Pathogenesis and Immunology, Texas A&#38;M Health Science Center 
2Department of Veterinary Pathobiology, Texas A&#38;M College of Veterinary Medicine
to:
Jing Yang1, Qing-Ming Qin1, Erin Van Schaik1, James E. Samuel1, Paul de Figueiredo1,2 
1Department of Microbial Pathogenesis and Immunology, Texas A&#38;M Health Science Center 
2Department of Veterinary Pathobiology, Texas A&#38;M College of Veterinary Medicine

An erratum was issued for:&#160;<a href="https://www.jove.com/t/62764">Automated, High-Throughput Detection of Bacterial Adherence to Host Cells</a>. The Authors section was updated.

Erratum: Automated, High-Throughput Detection of Bacterial Adherence to Host Cells

Bacterial adhesion is a process whereby bacteria attach to other cells or surfaces. Successful establishment of infection by bacterial pathogens requires adhesion to host cells, colonization of tissues, and in some cases, invasion of host cells1,2,3. Emerging infectious diseases constitute major public health threats, as evidenced by the recent COVID-19 pandemic4,5,6. Importantly, new or emerging pathogens may not be readily discerned using genomic-based approaches, especially in cases where the pathogen has been engineered to evade detection or does not contain genomic signatures that identify it as pathogenic. Therefore, the identification of potential pathogens using methods that directly assess hallmarks of pathogenicity, like bacterial adherence to host cells, can play a critical role in pathogen identification.
Bacterial adherence to host cells has been used to evaluate mechanisms of bacterial pathogenesis for decades1,7. Microscopic imaging8,9 and the enumeration of bacterial colony-forming unit (CFU)10,11,12,13 by post-infection plating are two well-developed laboratory methods for testing microbial adherence and/or infection of host cells14. Considering the micrometer scale size of bacterial cells, the enumeration of the adherent bacterial cells generally requires the use of advanced high-magnification microscopy techniques, as well as high-resolution imaging approaches, including electron microscopy, expansion microscopy (ExM)15,16, and three-dimensional imaging17. Alternatively, the enumeration of bacteria bound to or internalized within host cells can be performed by plating the dilution series of harvested bacteria on solid agar and counting the resultant CFUs10,12,13. This method is laborious and includes many manual steps, which introduces difficulties in establishing a standardized or automated procedure required for high-throughput analyses18,19. Therefore, the development of new methods for evaluating host cell attachment would address current limitations in the field.
One such method is described here that uses automated high throughput microscopy, combined with high throughput image processing and statistical analysis. To demonstrate the approach, experiments with several bacterial pathogens were performed, including Pseudomonas aeruginosa, an opportunistic Gram-negative bacterial pathogen of humans, animals, and plants14,20, which is frequently found to colonize the respiratory tract of patients with impaired host defense functions. This approach optimized the microscopic imaging process described in previous studies14,20. The imaging detection was simplified by fluorescence-labeled host cells and bacteria to rapidly track the proximity of them, which dramatically reduced the microscopy workload to get high-resolution images for distinguishing bacteria. In addition, the automated statistical analysis of images in counting host cells and bacteria replaced the hand-on experiment of bacterial CFU plating to estimate the ratio of adherent bacterial counts per host cell. To confirm the compatibility of this method, multiple bacterial strains and host cell types have also been tested, like Listeria monocytogenes, Staphylococcus aureus, Bacillus cereus, and Klebsiella pneumoniae, as well as human umbilical vein endothelial cells (HUVECs), and the results support the diversity and effectiveness of the method.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr >
			<td >10x PBS</td>
			<td >VWR</td>
			<td >45001-130</td>
			<td ></td>
		</tr>
		<tr >
			<td >4&#8242;,6-diamidino-2-phenylindole (DAPI)</td>
			<td >Thermo Fisher</td>
			<td>62248</td>
			<td>Host cell staining dye</td>
		</tr>
		<tr >
			<td >96 well plate</td>
			<td >Corning</td>
			<td >3882</td>
			<td>Half area well, flat clear bottom</td>
		</tr>
		<tr >
			<td >A549 cells</td>
			<td >ATCC&#160;</td>
			<td >CCL 185</td>
			<td>Mammalian cell line</td>
		</tr>
		<tr >
			<td >BactoView Live Red</td>
			<td >Biotium</td>
			<td >40101</td>
			<td>Bacteria staning dye</td>
		</tr>
		<tr >
			<td >Centrifuge</td>
			<td >Eppendorf</td>
			<td >5810R</td>
			<td></td>
		</tr>
		<tr >
			<td >CFSE cell division tracker</td>
			<td >BioLegend</td>
			<td >423801</td>
			<td></td>
		</tr>
		<tr >
			<td >Cytation 5&#160;</td>
			<td >BioTek</td>
			<td >Cytation 5&#160;</td>
			<td>Cell imaging multi-mode reader</td>
		</tr>
		<tr >
			<td >E. coli</td>
			<td ></td>
			<td ></td>
			<td>Laboratory stock&#160;</td>
		</tr>
		<tr >
			<td >EGM bulletKit</td>
			<td >Lonza</td>
			<td >CC-3124</td>
			<td>HUVEC cell culture medium</td>
		</tr>
		<tr >
			<td >EHEC</td>
			<td ></td>
			<td ></td>
			<td >NIST collections</td>
		</tr>
		<tr >
			<td >F-12k medium</td>
			<td >ATCC&#160;</td>
			<td >302004</td>
			<td>A549 cell culture medium</td>
		</tr>
		<tr >
			<td >Fetal bovine serum</td>
			<td >Corning</td>
			<td >35-016-CV</td>
			<td></td>
		</tr>
		<tr >
			<td >HUVEC</td>
			<td ></td>
			<td ></td>
			<td>Laboratory stock&#160;</td>
		</tr>
		<tr >
			<td >L. monocytogenes</td>
			<td ></td>
			<td ></td>
			<td >NIST collections</td>
		</tr>
		<tr >
			<td >OD600 DiluPhotometer</td>
			<td >IMPLEN</td>
			<td ></td>
			<td></td>
		</tr>
		<tr >
			<td >P. aeruginosa</td>
			<td ></td>
			<td ></td>
			<td>Dr. Lori Burrows laboratory stock</td>
		</tr>
		<tr >
			<td >P. aeruginosa &#916;pilA</td>
			<td ></td>
			<td ></td>
			<td>Dr. Lori Burrows laboratory stock</td>
		</tr>
		<tr >
			<td >S. agalactiae</td>
			<td ></td>
			<td ></td>
			<td >NIST collections</td>
		</tr>
		<tr >
			<td >S. aureus</td>
			<td >BEI</td>
			<td >NR-46543</td>
			<td></td>
		</tr>
		<tr >
			<td >S. aureus &#916;saeR</td>
			<td >BEI</td>
			<td >NR-48164</td>
			<td></td>
		</tr>
		<tr >
			<td >S. rubidaea</td>
			<td ></td>
			<td ></td>
			<td >NIST collections</td>
		</tr>
		<tr >
			<td >Typical soy broth</td>
			<td >Growcells</td>
			<td >MBPE-4040</td>
			<td></td>
		</tr>
	</tbody>
</table>

automated, high-throughput detection of bacterial adherence to host cells

Identification of emerging bacterial pathogens is critical for human health and security. Bacterial adherence to host cells is an essential step in bacterial infections and constitutes a hallmark of potential threat. Therefore, examining the adherence of bacteria to host cells can be used as a component of bacterial threat assessment. A standard method for enumerating bacterial adherence to host cells is to co-incubate bacteria with host cells, harvest the adherent bacteria, plate the harvested cells on solid media, and then count the resultant colony forming units (CFU). Alternatively, bacterial adherence to host cells can be evaluated using immunofluorescence microscopy-based approaches. However, conventional strategies for implementing these approaches are time-consuming and inefficient. Here, a recently developed automated fluorescence microscopy-based imaging method is described. When combined with high-throughput image processing and statistical analysis, the method enables rapid quantification of bacteria that adhere to host cells. Two bacterial species, Gram-negative Pseudomonas aeruginosa and Gram-positive Listeria monocytogenes and corresponding negative controls, were tested to demonstrate the protocol. The results show that this approach rapidly and accurately enumerates adherent bacteria and significantly reduces experimental workloads and timelines.

To develop the fluorescence imaging-based bacterial adherence assay, P. aeruginosa strain PAO1 and its negative-adherence counterpart E. coli were used to test the protocol effectiveness, as the adherence of these bacteria to A549 cells had been reported14,20,22. First, GFP- labeled P. aeruginosa (PAO1) and GFP-labeled E. coli were co-incubated with a human immortalized epithelial cell line A5...

Watch this Scientific Journal Video about Automated, High-Throughput Detection of Bacterial Adherence to Host Cells at JoVE.com

Automated, High-Throughput Detection of Bacterial Adherence to Host Cells

Detection of host-bacterial pathogen interactions based on phenotypic adherence using high-throughput fluorescence labeling imaging along with automated statistical analysis methods enables rapid evaluation of potential bacterial interactions with host cells.

Identification of emerging bacterial pathogens is critical for human health and security. Bacterial adherence to host cells is an essential step in ...

This method provides a rapid, high-throughput detection of bacteria adherence to host cells. Compared to the conventional plating methods, it reduce hands-on time required for the quantification of the adherent bacteria. This technique is automated, time-saving and very reproducible.It also a widely applied both to most of the host cells. This method, there is very straightforward. For the first trial, the conditions like the multiplicity of infection, and also the host bacteria co-incubation time must be optimized.First harvest the bacterial cultures at an exponential phase by centrifugation at 13, 000 times G for two minutes at room temperature. After washing the cells pallet with one milliliter PBS, resuspend the bacterial palette in one milliliter PBS. Determine the concentrations of bacterial suspension by measuring optical density at 600 nanometers.Then, for staining the bacterial suspension, add two microliters of the 500 fold concentrated stock green or red staining dye into one milliliter of bacterial suspension to dilute the dye one fold. Incubate the cells at room temperature for 30 minutes with gentle rotation in the dark. After 30 minutes, centrifuge the stained bacteria at 13, 000 times G for two minutes and resuspend the pellet in one milliliter of PBS.Collect the stained bacterial cells by centrifugation at 13, 000 times G for two minutes. Resuspend the pellet in one milliliter of fresh F12 K medium and measure the optical density of each culture at 600 nanometers. Subsequentially dilute the cultures to the desired concentrations based on the multiplicity of infection and host cell concentration.For Bacterial Adherence Assay, wash the previously cultured A549 cell mono layers three times by adding 100 microliters of warm PBS to each well and gently pipette up and down. Then discard PBS. Alternatively, after adding PBS, wait for 10 seconds and then remove PBS using vacuum.To determine the kinetics of bacterial association, overlay the cells with 100 microliters of desired concentrations of bacterial suspension with different multiplicity of infection. Spin down the bacteria and incubate the infected A549 cells at 37 degrees Celsius and 5%carbon dioxide for an additional one hour. Remove the unbound bacteria by washing the mono layers five times with warm PBS as demonstrated.Next, fix the cells by adding 100 microliters of 4%formaldehyde in all the wells of a 96 well plate on the ice. After 15 minutes, wash the plate three times with PBS to remove the fixation solution. Stain in the nuclei with 50 nanograms per milliliter DAPI stain for 10 minutes at room temperature.After washing the cells with PBS, cover the infected A549 cells with 100 microliters of PBS to avoid drying and then store the plate at four degrees Celsius for up to two days in the dark or proceed for imaging. To maintain the data integrity, randomly and manually pick five locations of each well to capture the images at 20 times magnification. Capture the fluorescent images of bacteria under GFP channels, A549 cells under DAPI, and for the bacteria stained by the red fluorescent dye use PE Si five channel.Set the parameters of the rolling ball for smoothing and auto measure the point spread function of image deconvolution based on the objective for achieving better resolution. Measure the fluorescence intensity of the host cells and bacteria. Set the weakest fluorescence intensity of host cells and bacteria as the thresholds for cell count and count all the bacteria proximate to a host cell within 15 micrometers distance as the adherence bacteria.Once the cells have been counted from all the automated images, analyze critical readouts, such as host cell counts, cell sizes and shapes, total bacterial counts, and the average bacterial account per host cell, which is the most important indicator to determine bacterial adherence. After one hour of co incubation, pseudomonas aeruginosa strain PAO1 adhered to A549 cells in a dose dependent fashion. Similar results were also observed when gram-positive bacteria listeria monocytogenes and its negative control bacillus subtilis.A representative image of host adherent P aeruginosa segmentation demonstrates the ease of counting bacterial cells using this protocol. The results of the automated analyses include bacterial and host cell counts, the average bacterial counts per host cell and host cell sizes and areas representing the status of host cell health, bacterial adherence level and bacterial cyto toxicity. Apart from A549 cells, HUVECs were also tested for adherence assay.Serratia rubidaea and streptococcus agalactiae were adherent to HUVEC, but not to A549 cells, and which demonstrates the effective detection and suitability of multiple hosts to study the host bacteria interactions using this method. Host cells should reach around 90 to 100%confluence to minimize the undesirable bacteria adherence to the bottom of the wells. This technique will allowed researchers to explore the new mechanisms, the host-pest interactions.

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Immunology and Infection

3.3K 조회수.  Texas A&M Health Science Center. 이 방법은 숙주 세포에 박테리아 준수의 신속하고 높은 처리량 검출을 제공합니다. 종래의 도금 방법에 비해, 부착된 박테리아의 정량화에 필요한 실습 시간을 줄입니다. 이 기술은 자동화되고, 시간 절약적이며, 매우 재현할 수 있습니다.그것은 또한 널리 호스트 셀의 대부분에 둘 다에 적용. 이 방법은 매우 간단합니다. 첫 번째 예심을 위해, 감염의 복합성 같이 조건, ...