Name: light-sheet microscopy for three-dimensional visualization of human immune cells
Uploaded: 2018-06-13T13:30:00
Description: Watch this Scientific Journal Video about Light-sheet Microscopy for Three-dimensional Visualization of Human Immune Cells at JoVE.com

We thank the Institute for Clinical Hemostaseology and Transfusion Medicine for providing donor blood; Carmen H&#228;ssig and Cora Hoxha for excellent technical help. We thank Jens Rettig (Saarland University) for the modified pMAX vector, Roland Wedlich-S&#246;ldner (University of Muenster) for the original LifeAct-Ruby construct, and Christian Junker (Saarland University) for generating the LifeAct-mEGFP construct. This project was funded by Sonderforschungsbereich 1027 (project A2 to B.Q.) and 894 (project A1 to M.H.). The light-sheet microscope was funded by DFG (GZ: INST 256/4 19-1 FUGG).

Research carried out for this study with the human material (leukocyte reduction system chambers from human blood donors) is authorized by the local ethics committee (declaration from 16.4.2015 (84/15; Prof. Dr. Rettig-St&#252;rmer)) and follows the corresponding guidelines.
1. Preparation of Neutralized Collagen Solution (500 &#181;L)
<ol>
	<li>Transfer 400 &#181;L of chilled collagen stock solution (10.4 mg/mL) to a sterile 1.5 mL tube under the cell culture hood. Slowly add 50 &#181;L of ...

<ol>
	<li>Decaestecker, C., Debeir, O., Van Ham, P., Kiss, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Can+anti-migratory+drugs+be+screened+in+vitro?+A+review+of+2D+and+3D+assays+for+the+quantitative+analysis+of+cell+migration.">Can anti-migratory drugs be screened in vitro? A review of 2D and 3D assays for the quantitative analysis of cell migration.</a> Med Res Rev. 27 (2), 149-176 (2007).</li><li>Doyle, A. D., Petrie, R. J., Kutys, M. L., Yamada, K. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Dimensions+in+cell+migration.">Dimensions in cell migration.</a> Curr Opin Cell Biol. 25 (5), 642-649 (2013).</li><li>Krummel, M. F., Bartumeus, F., Gerard, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=T+cell+migration,+search+strategies+and+mechanisms.">T cell migration, search strategies and mechanisms.</a> Nat Rev Immunol. 16 (3), 193-201 (2016).</li><li>Entschladen, F., 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=Analysis+methods+of+human+cell+migration.">Analysis methods of human cell migration.</a> Exp Cell Res. 307 (2), 418-426 (2005).</li><li>Meredith, J. E., Fazeli, B., Schwartz, M. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+extracellular+matrix+as+a+cell+survival+factor.">The extracellular matrix as a cell survival factor.</a> Mol Biol Cell. 4 (9), 953-961 (1993).</li><li>Friedl, P., Wolf, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Plasticity+of+cell+migration:+a+multiscale+tuning+model.">Plasticity of cell migration: a multiscale tuning model.</a> J Cell Biol. 188 (1), 11-19 (2010).</li><li>Ridley, A. J., 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=Cell+migration:+integrating+signals+from+front+to+back.">Cell migration: integrating signals from front to back.</a> Science. 302 (5651), 1704-1709 (2003).</li><li>Shamir, E. R., Ewald, A. J. <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+organotypic+culture:+experimental+models+of+mammalian+biology+and+disease.">Three-dimensional organotypic culture: experimental models of mammalian biology and disease.</a> Nat Rev Mol Cell Biol. 15 (10), 647-664 (2014).</li><li>Ravi, M., Paramesh, V., Kaviya, S. R., Anuradha, E., Solomon, F. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=3D+cell+culture+systems:+advantages+and+applications.">3D cell culture systems: advantages and applications.</a> J Cell Physiol. 230 (1), 16-26 (2015).</li><li>Fang, Y., Eglen, 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+Cell+Cultures+in+Drug+Discovery+and+Development.">Three-Dimensional Cell Cultures in Drug Discovery and Development.</a> SLAS Discov. 22 (5), 456-472 (2017).</li><li>Schoppmeyer, 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=Human+profilin+1+is+a+negative+regulator+of+CTL+mediated+cell-killing+and+migration.">Human profilin 1 is a negative regulator of CTL mediated cell-killing and migration.</a> Eur J Immunol. 47 (9), 1562-1572 (2017).</li><li>Mogilner, A., Oster, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Cell+motility+driven+by+actin+polymerization.">Cell motility driven by actin polymerization.</a> Biophys J. 71 (6), 3030-3045 (1996).</li><li>Santi, P. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Light+sheet+fluorescence+microscopy:+a+review.">Light sheet fluorescence microscopy: a review.</a> J Histochem Cytochem. 59 (2), 129-138 (2011).</li><li>Power, R. M., Huisken, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+guide+to+light-sheet+fluorescence+microscopy+for+multiscale+imaging.">A guide to light-sheet fluorescence microscopy for multiscale imaging.</a> Nat Methods. 14 (4), 360-373 (2017).</li><li>Zhou, X., 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=Bystander+cells+enhance+NK+cytotoxic+efficiency+by+reducing+search+time.">Bystander cells enhance NK cytotoxic efficiency by reducing search time.</a> Sci Rep. 7, 44357 (2017).</li><li>Lammermann, T., 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=Rapid+leukocyte+migration+by+integrin-independent+flowing+and+squeezing.">Rapid leukocyte migration by integrin-independent flowing and squeezing.</a> Nature. 453 (7191), 51-55 (2008).</li><li>Petrie, R. J., Yamada, K. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=At+the+leading+edge+of+three-dimensional+cell+migration.">At the leading edge of three-dimensional cell migration.</a> J Cell Sci. 125 (Pt 24), 5917-5926 (2012).</li><li>Imamura, 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=Comparison+of+2D-+and+3D-culture+models+as+drug-testing+platforms+in+breast+cancer).">Comparison of 2D- and 3D-culture models as drug-testing platforms in breast cancer).</a> Oncol Rep. 33 (4), 1837-1843 (2015).</li><li>Lee, J. 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+three-dimensional+microenvironment+alters+protein+expression+and+chemosensitivity+of+epithelial+ovarian+cancer+cells+in+vitro.">A three-dimensional microenvironment alters protein expression and chemosensitivity of epithelial ovarian cancer cells in vitro.</a> Lab Invest. 93 (5), 528-542 (2013).</li><li>Luca, A. C., 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=Impact+of+the+3D+microenvironment+on+phenotype,+gene+expression,+and+EGFR+inhibition+of+colorectal+cancer+cell+lines.">Impact of the 3D microenvironment on phenotype, gene expression, and EGFR inhibition of colorectal cancer cell lines.</a> PLoS One. 8 (3), e59689 (2013).</li><li>Jemielita, M., Taormina, M. J., Delaurier, A., Kimmel, C. B., Parthasarathy, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Comparing+phototoxicity+during+the+development+of+a+zebrafish+craniofacial+bone+using+confocal+and+light+sheet+fluorescence+microscopy+techniques.">Comparing phototoxicity during the development of a zebrafish craniofacial bone using confocal and light sheet fluorescence microscopy techniques.</a> J Biophotonics. 6 (11-12), 920-928 (2013).</li><li>Graf, B. W., Boppart, S. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Imaging+and+analysis+of+three-dimensional+cell+culture+models.">Imaging and analysis of three-dimensional cell culture models.</a> Methods Mol Biol. 591, 211-227 (2010).</li><li>Helmchen, F., Denk, W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Deep+tissue+two-photon+microscopy.">Deep tissue two-photon microscopy.</a> Nat Methods. 2 (12), 932-940 (2005).</li><li>Huisken, J., Swoger, J., Del Bene, F., Wittbrodt, J., Stelzer, E. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Optical+sectioning+deep+inside+live+embryos+by+selective+plane+illumination+microscopy.">Optical sectioning deep inside live embryos by selective plane illumination microscopy.</a> Science. 305 (5686), 1007-1009 (2004).</li><li>Verveer, P. J., 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-resolution+three-dimensional+imaging+of+large+specimens+with+light+sheet-based+microscopy.">High-resolution three-dimensional imaging of large specimens with light sheet-based microscopy.</a> Nat Methods. 4 (4), 311-313 (2007).</li><li>Truong, T. V., Supatto, W., Koos, D. S., Choi, J. M., Fraser, S. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Deep+and+fast+live+imaging+with+two-photon+scanned+light-sheet+microscopy.">Deep and fast live imaging with two-photon scanned light-sheet microscopy.</a> Nat Methods. 8 (9), 757-760 (2011).</li><li>Haycock, J. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=3D+cell+culture:+a+review+of+current+approaches+and+techniques.">3D cell culture: a review of current approaches and techniques.</a> Methods Mol Biol. 695, 1-15 (2011).</li><li>Mestas, J., Hughes, C. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Of+mice+and+not+men:+differences+between+mouse+and+human+immunology.">Of mice and not men: differences between mouse and human immunology.</a> J Immunol. 172 (5), 2731-2738 (2004).</li></ol>

Most in vitro assays are carried out on a 2D surface, for example in cell-culture plates, Petri-dishes or on coverslips, whereas in vivo cells, especially immune cells, experience mostly a 3D microenvironment. Emerging evidence shows that migration patterns of immune cells differ between 2D and 3D scenarios17. Moreover, the expression profiles of tumor cells are also different in 2D- and 3D-cultured tissues18,19,</su...

Most knowledge about migrating cells comes from 2D experiments1,2,3, which are normally conducted in a glass or plastic surface of a culture/imaging dish. However, a physiological scenario requires, in most cases, a 3D microenvironment, in which the extracellular matrix (ECM) plays a decisive role. ECM not only provides the 3D structure essential to maintain proper cell morphology but also offers survival signals or directional cues for an optimal functioning of many cells4,5 . Therefore, a 3D environment is required to better identify cellular functions and behavior in an environment better reflecting the physiological context.
In the human body, most cells especially immune cells, exert their functions under a 3D scenario. For example, activated T cells patrol tissues searching for target cells, na&#239;ve T cells migrate through lymph nodes in search for their cognate antigen-presenting cells during which the migration mode and machinery are adapted to the corresponding extracellular environment3,6,7. The 3D collagen gel has been widely used as a well-established and well-characterized 3D cell culture system8,9,10. Our previous work shows that primary human lymphocytes are highly mobile and migrate at an average speed of around 4.8 &#181;m/min in a 0.25 % collagen-based matrix11. Rearrangement of cytoskeleton plays a key role in the cell migration12. Accumulating evidence shows that lymphocytes do not apply only a single mode of migration yet can switch between certain migration behavior depending on the location, microenvironment, cytokines, chemotactic gradients, and extracellular signals which tune the migratory behavior in different ways 3.
To reliably analyze immune cell functions and behavior, for example, migration, protrusion formation or vesicular transportation, it is of great advantage to be able to acquire images in relatively large 3D volumes in a fast and reliable manner. For 3D imaging, the recently developed light-sheet microscopy technology (also referred to as single plane illumination microscopy) offers a satisfactory solution13,14. During imaging acquisition, a thin static light sheet is generated to illuminate the sample. In this way, on the focus plane, a large area can be illuminated simultaneously without affecting the off-plane cells. This feature enables a high acquisition speed with a drastically reduced bleaching and photocytotoxicity. In this paper, we describe how to visualize primary human immune cells using light-sheet microscopy and how to analyze the migration in a 3D scenario.

<table>
	<tbody>
		<tr>
			<td>Fibricol, bovine collagen solution</td>
			<td>Advanced Biomatrix</td>
			<td>&#160;#5133-20ML</td>
			<td>Collagen matrix</td>
		</tr>
		<tr>
			<td>0.5 M NaOH Solution</td>
			<td>Merck</td>
			<td>1091381000</td>
			<td>for neutralizing Fibricol solution</td>
		</tr>
		<tr>
			<td>Ultra-Low melting agarose</td>
			<td>Affymetrix</td>
			<td>32821-10GM</td>
			<td>Sample preparation in low c[Col]</td>
		</tr>
		<tr>
			<td>Dynabeads Untouched Human CD8 T Cells Kit</td>
			<td>Thermo Fisher</td>
			<td>11348D</td>
			<td>Isolation of primary human CD8+ T cells from PBMC</td>
		</tr>
		<tr>
			<td>Dynabeads Human T-Activator CD3/CD28 for T Cell Expansion and Activation</td>
			<td>Thermo Fisher</td>
			<td>11132D</td>
			<td>Activation of CTL populations</td>
		</tr>
		<tr>
			<td>Human recombinant interleukin-2</td>
			<td>Thermo Fisher</td>
			<td>PHC0023</td>
			<td>Stimulation of cultured CTL</td>
		</tr>
		<tr>
			<td>P3 Primary solution kit</td>
			<td>Lonza</td>
			<td>V4XP-30XX</td>
			<td>Transfection</td>
		</tr>
		<tr>
			<td>&#945;-PFN1 antibody, rabbit, IgG</td>
			<td>Abcam</td>
			<td>ab124904</td>
			<td>IF</td>
		</tr>
		<tr>
			<td>Alexa Fluor 633 Phalloidin</td>
			<td>Thermo Fisher</td>
			<td>A22284</td>
			<td>IF</td>
		</tr>
		<tr>
			<td>CellMask Orange Plasma membrane Stain</td>
			<td>Thermo Fisher</td>
			<td>C10045</td>
			<td>Fluorescent cell label</td>
		</tr>
		<tr>
			<td>Tween 20</td>
			<td>Sigma</td>
			<td>P1379-250mL</td>
			<td>IF</td>
		</tr>
		<tr>
			<td>Triton X-100</td>
			<td>Eurobio</td>
			<td>018774</td>
			<td>IF</td>
		</tr>
		<tr>
			<td>DPBS Dulbecco&#39;s phopsphate buffered saline</td>
			<td>Thermo Fisher</td>
			<td>14190250</td>
			<td>IF</td>
		</tr>
		<tr>
			<td>Bovine serum albumin</td>
			<td>Sigma</td>
			<td>A9418-100G</td>
			<td>IF</td>
		</tr>
		<tr>
			<td>Goat &#945; Rabbit 568, IgG, rabbit</td>
			<td>Thermo Fisher</td>
			<td>A-11011</td>
			<td>IF</td>
		</tr>
		<tr>
			<td>Lightsheet Z.1 (Light-sheet microscopy)</td>
			<td>Zeiss</td>
			<td>N.A.</td>
			<td></td>
		</tr>
		<tr>
			<td>Cell culture hood</td>
			<td>Thermo Fisher</td>
			<td>HeraSafe KS</td>
			<td></td>
		</tr>
		<tr>
			<td>Cell culture incubator HERACell 150i&#160;</td>
			<td>Thermo Fisher</td>
			<td>N.A.</td>
			<td></td>
		</tr>
		<tr>
			<td>Centrifuge 5418 and 5452</td>
			<td>Eppendorf</td>
			<td>N.A.</td>
			<td></td>
		</tr>
		<tr>
			<td>Pippettes</td>
			<td>Eppendorf</td>
			<td>3123000039, 3123000020, 3123000063</td>
			<td></td>
		</tr>
		<tr>
			<td>Pippette tips</td>
			<td>VWR</td>
			<td>89079-444, 89079-436, 89079-452&#160;</td>
			<td></td>
		</tr>
		<tr>
			<td>15 mL tubes</td>
			<td>Sarstedt</td>
			<td>&#160;62.554.002</td>
			<td></td>
		</tr>
		<tr>
			<td>Capillaries 50 &#181;L</td>
			<td>VWR (Brand)</td>
			<td>613-3373</td>
			<td>Zeiss LSFM sample preparation</td>
		</tr>
		<tr>
			<td>Plunger for capillaries</td>
			<td>VWR (Brand)</td>
			<td>BRND701934</td>
			<td>&#34;Stamps with Teflon tip&#34; LSFM sample preparation</td>
		</tr>
		<tr>
			<td>MColorPhast pH stips</td>
			<td>Merck</td>
			<td>1095430001</td>
			<td>to test pH of neutralized Fibricol</td>
		</tr>
		<tr>
			<td>BD Plastipak 1mL syringes</td>
			<td>BD</td>
			<td>Z230723&#160;ALDRICH</td>
			<td>Alternative sample preparation</td>
		</tr>
		<tr>
			<td>Modeling clay (Hasbro Play-Doh A5417EU7)</td>
			<td>Play-Doh</td>
			<td>N.A.</td>
			<td></td>
		</tr>
		<tr>
			<td>Imaris file converter</td>
			<td>Bitplane</td>
			<td>available at http://www.bitplane.com&#160;</td>
			<td>Convert imaging files to Imaris file format</td>
		</tr>
		<tr>
			<td>Imaris 8.1.2 (MeasurementPro, Track, Vantage)</td>
			<td>Bitplane</td>
			<td>available at http://www.bitplane.com&#160;</td>
			<td>Analysis of 3D and 4D imaging data</td>
		</tr>
	</tbody>
</table>

light-sheet microscopy for three-dimensional visualization of human immune cells

In vivo, activation, proliferation, and function of immune cells all occur in a three-dimensional (3D) environment, for instance in lymph nodes or tissues. Up to date, most in vitro systems rely on two-dimensional (2D) surfaces, such as cell-culture plates or coverslips. To optimally mimic physiological conditions in vitro, we utilize a simple 3D collagen matrix. Collagen is one of the major components of extracellular matrix (ECM) and has been widely used to constitute 3D matrices. For 3D imaging, the recently developed light-sheet microscopy technology (also referred to as single plane illumination microscopy) is featured with high acquisition speed, large penetration depth, low bleaching, and photocytotoxicity. Furthermore, light-sheet microscopy is particularly advantageous for long-term measurement. Here we describe an optimized protocol how to set up and handle human immune cells, e.g. primary human cytotoxic T lymphocytes (CTL) and natural killer (NK) cells in the 3D collagen matrix for usage with the light-sheet microscopy for live cell imaging and fixed samples. The procedure for image acquisition and analysis of cell migration are presented. A particular focus is given to highlight critical steps and factors for sample preparation and data analysis. This protocol can be employed for other types of suspension cells in a 3D collagen matrix and is not limited to immune cells.

Protrusion formation during T cell migration is a highly dynamic process, which is actin dependent. To visualize protrusion formation of primary human CTL, we transiently transfected a mEGFP fused protein to label the actin cytoskeleton in CTL as described before11. One day after transfection, the cells were embedded in the collagen matrix. Image stacks were acquired every 40 s with a step-size of 1 &#181;m at 37 &#176;C using light-sheet microscopy. As shown in <s...

Watch this Scientific Journal Video about Light-sheet Microscopy for Three-dimensional Visualization of Human Immune Cells at JoVE.com

Light-sheet Microscopy for Three-dimensional Visualization of Human Immune Cells

Here, we present a protocol to visualize immune cells embedded in a three-dimensional (3D) collagen matrix using light-sheet microscopy. This protocol also elaborates how to track cell migration in 3D. This protocol can be employed for other types of suspension cells in the 3D matrix.

In vivo, activation, proliferation, and function of immune cells all occur in a three-dimensional (3D) environment, for instance in lymph nodes or ...

This method can help answer key questions in the immunology field such as how exactly immune cells behave in a physiologically relevant context like how to search target cells efficiently in a three-dimensional environment. The main advantage of this method is to generate a very thin sheet of light to illuminate only the focal plane without affecting the off plane cells. This enables a very fast acquisition speed with a pronounced reduction of bleaching and photocytotoxicity.Demonstrating this procedure will be Dr.Renping Zhao, a post-doc from my lab. To begin, under a cell culture hood, transfer 400 microliters of chilled collagen stock solution to a sterile 1.5 milliliter tube. Slowly add 50 microliters of chilled 10X PBS.Then mix the solution by gently tilting the tube. Add 48 microliters of 0.1 molar sodium hydroxide to the collagen solution to adjust the pH to 7.2 to 7.6. Use pH test strips to determine the pH value of the mixture.Add two microliters of sterile distilled deionized water to bring the final volume to 500 microliters. Mix well and store the collagen solution on ice or at four degrees Celsius until further use. After fluorescently labeling live cells according to the text protocol, under the cell culture hood, transfer one times 10 to the sixth cells into a sterile 1.5 milliliter tube.Centrifuge the tube at 200 times g for eight minutes. Then discard the supernatant and use 200 microliters of culture medium to resuspend the pellet. Add 85.9 microliters of the neutralized collagen solution to the cell suspension and mix properly to reach a collagen concentration of 2.5 milligrams per milliliter.Leave the cell collagen mix on ice in the hood. Next, insert a plunger into the matching capillary until the plunger is sticking one millimeter out of the capillary. Then wet the plunger by dipping into culture medium.Skipping this step can result in undesirable introduction of air bubbles between the plunger and the collagen matrix. Dip the capillary into the cell collagen mixture and slowly pull the plunger back 10 to 20 millimeters. Then with a spray bottle of 70%ethanol, moisten a paper towel and use it to wipe the outer wall of the capillary to remove the remaining collagen solution.Now use modeling clay to mount the capillary to the inner wall of a five milliliter tube. Push the cell collagen mix to the edge of the capillary. Then incubate the tube with the capillary at 37 degrees Celsius and 5%CO2 for one hour to polymerize the collagen.Following the incubation, add one to two milliliters of culture medium to the tube. Then carefully expel the polymerized collagen rod out into the medium until approximately half of the collagen is hanging in the medium. Incubate the capillary for another 30 minutes.To carry out light-sheet microscopy, assemble the sample chamber according to the manufacturer's instructions. After turning on the microscope and incubator if doing live imaging, place the capillary in the sample chamber, locate the sample, and find the area of interest for image acquisition. Activate the corresponding lasers.Then set the laser power and exposure time. Also set the step size of the Z stack, the start and end positions of the Z stack, and the time interval for live cell imaging. Then start the image acquisition.Transfer one milliliter of 4%paraformaldehyde in PBS into a five milliliter tube under a chemical hood. Then dip the capillary with the polymerized collagen into the paraformaldehyde solution and use modeling clay to mount the capillary on the inner wall of the tube. Gently press the plunger until half of the collagen rod is hanging in the paraformaldehyde solution.Then pull back the plunger to take the collagen rod back up into the capillary. Remove the capillary from the tube and discard the paraformaldehyde. Mount the capillary into a fresh tube and add one milliliter of PBS.Ensure that the capillary is immersed in the PBS. Gently press the plunger until half of the collagen rod is hanging in the solution and incubate for five minutes. Pull back the plunger to take up the collagen rod in the capillary.Then replace the PBS with fresh PBS and expel the collagen rod into the solution. Following the third wash, add one to two milliliters of blocking permeabilization buffer into the tube. Expel the collagen rod into the solution and incubate the tube at room temperature for 30 to 60 minutes.Replace the blocking permeabilization buffer with 200 to 500 microliters of primary antibodies in blocking permeabilization buffer and incubate the submerged collagen rod in the solution for one hour. After using PBST to wash the collagen rod three times, incubate the rod in secondary antibodies in blocking permeabilization buffer at room temperature for one hour. Following three more washes in PBS, pull the collagen rod back into the capillary and keep the sample in PBS until imaging.As seen in this movie, during migration CTL cells transfected with an EGFP actin fusion protein formed lemon-shaped major protrusions, fringed by fine spindle-like structures. The trajectories of CTLs are illustrated here with velocity and persistence or the displacement divided by the total track length as the measured parameters. The velocities range from 0.01 to 0.19 microns per second with an almost 20-fold difference and the persistence ranges from zero to 0.7.This figure shows fixed CTL cells in 3D collagen gel stained for endogenous perforin-1 and actin. The sample was illuminated from a single side or from both sides. From different Z positions, the cells are evenly stained indicating good penetration of antibodies into the collagen gels.Fixed CTL exhibited the same morphology as live cells indicating that the morphology is well-maintained with this protocol. While attempting this procedure, it's very important to remember to avoid air bubbles and to adjust pH value properly. Following this procedure, other methods like live cell staining with particular surface molecules can be performed to answer additional questions like how to correlate cell behavior with differentiation or with different cell subtypes or to investigate cell-cell interaction and cell fate.After its development, this technique paved the way for researchers in the field of cell biology, immunology, and cancer research to explore cell behavior, cell fate, differentiation, and cell interaction in the most physiologically relevant system in vitro. After watching this video, you should have a good understanding of how to prepare samples with cells embedded in a three-dimensional collagen matrix, how to visualize samples using light-sheet microscopy, either live or fixed, and how to track cell migration in 3D.

light-sheet-microscopy-for-three-dimensional-visualization-human

Research

JoVE Journal

Immunology and Infection

Measuring Calpain Activity in Fixed and Living Cells by Flow Cytometry

Calpains are ubiquitous intracellular, calcium-sensitive, neutral cysteine proteases 1. Calpains play crucial roles in many physiological processes, including signaling, cytoskeletal remodeling, regulation of gene expression, apoptosis and cell cycle progression 1. Calpains have been implicated in many pathologies including muscular dystrophies, cancer, diabetes, Alzheimer's disease and multiple sclerosis 1. Calpain regulation is complex and incompletely understood. mRNA and protein levels correlate poorly with activity, limiting the use of gene or protein expression techniques to measure calpain activity. This video protocol details a flow cytometric assay developed in our laboratory for measuring calpain activity in fixed and living cells. This method uses the fluorescent substrate BOC-LM-CMAC, which is cleaved specifically by calpain, to measure calpain activity. 2 In this video, calpain activity in fixed and living murine 32Dkit leukemia cells, alone or as part of a splenocyte population is measured using an LSRII (BD Bioscience). 32Dkit cells are shown to have elevated activity compared to normal splenocytes.

This article will detail the protocol for measuring calpain activity in fixed and living cells using flow cytometry.

Calpains are ubiquitous intracellular, calcium-sensitive, neutral cysteine proteases 1. Calpains play crucial roles in many physiological processes, ...

Seven Steps to Stellate Cells

Hepatic stellate cells are liver-resident cells of star-like morphology and are located in the space of Disse between liver sinusoidal endothelial cells and hepatocytes1,2. Stellate cells are derived from bone marrow precursors and store up to 80% of the total body vitamin A1, 2. Upon activation, stellate cells differentiate into myofibroblasts to produce extracellular matrix, thus contributing to liver fibrosis3. Based on their ability to contract, myofibroblastic stellate cells can regulate the vascular tone associated with portal hypertension4. Recently, we demonstrated that hepatic stellate cells are potent antigen presenting cells and can activate NKT cells as well as conventional T lymphocytes5. 

 Here we present a method for the efficient preparation of hepatic stellate cells from mouse liver. Due to their perisinusoidal localization, the isolation of hepatic stellate cells is a multi-step process. In order to render stellate cells accessible to isolation from the space of Disse, mouse livers are perfused in situ with the digestive enzymes Pronase E and Collagenase P. Following perfusion, the liver tissue is subjected to additional enzymatic treatment with Pronase E and Collagenase P in vitro. Subsequently, the method takes advantage of the massive amount of vitamin A-storing lipid droplets in hepatic stellate cells. This feature allows the separation of stellate cells from other hepatic cell types by centrifugation on an 8% Nycodenz gradient. The protocol described here yields a highly pure and homogenous population of stellate cells. Purity of preparations can be assessed by staining for the marker molecule glial fibrillary acidic protein (GFAP), prior to analysis by fluorescence microscopy or flow cytometry. Further, light microscopy reveals the unique appearance of star-shaped hepatic stellate cells that harbor high amounts of lipid droplets. 


 Taken together, we present a detailed protocol for the efficient isolation of hepatic stellate cells, including representative images of their morphological appearance and GFAP expression that help to define the stellate cell entity.

Here we describe a method for the isolation of hepatic stellate cells from mouse liver. For stellate cell purification, mouse livers are digested in situ and in vitro by pronase-collagenase treatment prior to density gradient centrifugation. This technique yields highly pure hepatic stellate cells.

Hepatic stellate cells are liver-resident  cells of star-like morphology and are located in the space of Disse between  liver sinusoidal endothelial cells ...

Flow Cytometry Analysis of Immune Cells Within Murine Aortas

Atherosclerosis is a chronic inflammatory process of medium and large size vessels that is characterized by the formation of plaques consisting of foam cells, immune cells, vascular endothelial and smooth muscle cells, platelets, extracellular matrix, and a lipid-rich core with extensive necrosis and fibrosis of surrounding tissues.1 The innate and adaptive arms of the immune response are involved in the initiation, development and persistence of atherosclerosis.2, 3 There is a significant body of evidence that different subsets of the immune cells, such as macrophages, dendritic cells, T and B lymphocytes, are present within the aortas of healthy and atherosclerosis-prone mice4. Additionally, immune cells are found in the surrounding aortic adventitia which suggests an important role of this tissue in atherogenesis.2
For some time, the quantitative detection of different types of immune cells, their activation status, and the cellular composition within the aortic wall was limited by RT-PCR and immunohistochemical methods for the study of atherosclerosis. Few attempts were made to perform flow cytometry using human aortas, and a number of problems, such as a high autofluorescence, have been reported5,6. Human atherosclerotic plaques were digested with collagenase 1, and free cells were collected and stained for CD14+/CD11c+ to highlight macrophage-derived foam cells. In this study, a "mock" channel was used to avoid false-positive staining.6 Necrotic materials accumulating during the digestion process give rise in a large amount of debris that generates a high autofluorescence in aortic samples. To resolve this problem, a panel of negative and positive controls has been proposed, but only double staining could be applied in these samples. We have developed a new flow cytometry-based method7 to analyze the immune cell composition and characterize the activation, proliferation, differentiation of immune cells in healthy and atherosclerosis-prone aorta. This method allows the investigation of the immune cell composition of the aortic wall and opens possibilities to use a broad spectrum of immunological methods for investigations of immune aspects of this disease.

This paper presents a flow cytometry-based method to investigate the immune composition of aortas. The paper also illustrates an additional technique that allows examining surrounding adventitia and vessel wall separately. This method opens possibilities to perform phenotypical analyses of aortic leukocytes and apply several immunological assays for atherosclerosis studies.

Atherosclerosis is a chronic inflammatory process of medium and large size vessels that is characterized by the formation of plaques consisting of foam ...

Intravital Imaging of the Mouse Thymus using 2-Photon Microscopy

Two-photon Microscopy (TPM) provides image acquisition in deep areas inside tissues and organs. In combination with the development of new stereotactic tools and surgical procedures, TPM becomes a powerful technique to identify "niches" inside organs and to document cellular "behaviors" in live animals. While intravital imaging provides information that best resembles the real cellular behavior inside the organ, it is both more laborious and technically demanding in terms of required equipment/procedures than alternative ex vivo imaging acquisition. Thus, we describe a surgical procedure and novel "stereotactic" organ holder that allows us to follow the movements of Foxp3+ cells within the thymus.
Foxp3 is the master regulator for the generation of regulatory T cells (Tregs). Moreover, these cells can be classified according to their origin: ie. thymus-differentiated Tregs are called "naturally-occurring Tregs" (nTregs), as opposed to peripherally-converted Tregs (pTregs). Although significant amount of research has been reported in the literature concerning the phenotype and physiology of these T cells, very little is known about their in vivo interactions with other cells. This deficiency may be due to the absence of techniques that would permit such observations. The protocol described in this paper provides a remedy for this situation.
Our protocol consists of using nude mice that lack an endogenous thymus since they have a punctual mutation in the DNA sequence that compromises the differentiation of some epithelial cells, including thymic epithelial cells. Nude mice were gamma-irradiated and reconstituted with bone marrows (BM) from Foxp3-KIgfp/gfp mice. After BM recovery (6 weeks), each animal received embryonic thymus transplantation inside the kidney capsule. After thymus acceptance (6 weeks), the animals were anesthetized; the kidney containing the transplanted thymus was exposed, fixed in our organ holder, and kept under physiological conditions for in vivo imaging by TPM. We have been using this approach to study the influence of drugs in the generation of regulatory T cells.

We have developed novel laboratory tools and protocols for intravital imaging acquisition of the thymus. Our technique should help in the identification of &#x201C;niches&#x201D; within the thymus where T cell development occurs.

Two-photon Microscopy (TPM) provides image acquisition in deep areas inside tissues and organs. In combination with the development of new stereotactic ...

Visualization of the Immunological Synapse by Dual Color Time-gated Stimulated Emission Depletion (STED) Nanoscopy

Natural killer cells form tightly regulated, finely tuned immunological synapses (IS) in order to lyse virally infected or tumorigenic cells. Dynamic actin reorganization is critical to the function of NK cells and the formation of the IS. Imaging of F-actin at the synapse has traditionally utilized confocal microscopy, however the diffraction limit of light restricts resolution of fluorescence microscopy, including confocal, to approximately 200 nm. Recent advances in imaging technology have enabled the development of subdiffraction limited super-resolution imaging. In order to visualize F-actin architecture at the IS we recapitulate the NK cell cytotoxic synapse by adhering NK cells to activating receptor on glass. We then image proteins of interest using two-color stimulated emission depletion microscopy (STED). This results in &#60;80 nm resolution at the synapse. Herein we describe the steps of sample preparation and the acquisition of images using dual color STED nanoscopy to visualize F-actin at the NK IS. We also illustrate optimization of sample acquisition using Leica SP8 software and time-gated STED. Finally, we utilize Huygens software for post-processing deconvolution of images.

Visualization of the Immunological Synapse by Dual Color Time-gated Stimulated Emission Depletion STED Nanoscopy

Here we illustrate the protocol for imaging by two-color STED nanoscopy the cytotoxic immune synapse of NK cells recapitulated on glass. Using this method we obtain sub-100 nm resolution of synapse proteins and the cytoskeleton.

Natural killer cells form tightly regulated, finely tuned immunological synapses (IS) in order to lyse virally infected or tumorigenic cells. Dynamic ...

Long Term Intravital Multiphoton Microscopy Imaging of Immune Cells in Healthy and Diseased Liver Using CXCR6.Gfp Reporter Mice

Liver inflammation as a response to injury is a highly dynamic process involving the infiltration of distinct subtypes of leukocytes including monocytes, neutrophils, T cell subsets, B cells, natural killer (NK) and NKT cells. Intravital microscopy of the liver for monitoring immune cell migration is particularly challenging due to the high requirements regarding sample preparation and fixation, optical resolution and long-term animal survival. Yet, the dynamics of inflammatory processes as well as cellular interaction studies could provide critical information to better understand the initiation, progression and regression of inflammatory liver disease. Therefore, a highly sensitive and reliable method was established to study migration and cell-cell-interactions of different immune cells in mouse liver over long periods (about 6 hr) by intravital two-photon laser scanning microscopy (TPLSM) in combination with intensive care monitoring.
The method provided includes a gentle preparation and stable fixation of the liver with minimal perturbation of the organ; long term intravital imaging using multicolor multiphoton microscopy with virtually no photobleaching or phototoxic effects over a time period of up to 6 hr, allowing tracking of specific leukocyte subsets; and stable imaging conditions due to extensive monitoring of mouse vital parameters and stabilization of circulation, temperature and gas exchange.
To investigate lymphocyte migration upon liver inflammation CXCR6.gfp knock-in mice were subjected to intravital liver imaging under baseline conditions and after acute and chronic liver damage induced by intraperitoneal injection(s) of carbon tetrachloride (CCl4).
CXCR6 is a chemokine receptor expressed on lymphocytes, mainly on Natural Killer T (NKT)-, Natural Killer (NK)- and subsets of T lymphocytes such as CD4 T cells but also mucosal associated invariant (MAIT) T cells1. Following the migratory pattern and positioning of CXCR6.gfp+ immune cells allowed a detailed insight into their altered behavior upon liver injury and therefore their potential involvement in disease progression.

Stable intravital high-resolution imaging of immune cells in the liver is challenging. Here we provide a highly sensitive and reliable method to study migration and cell-cell-interactions of immune cells in mouse liver over long periods (about 6 hours) by intravital multiphoton laser scanning microscopy in combination with intensive care monitoring.

Liver inflammation as a response to injury is a highly dynamic process involving the infiltration of distinct subtypes of leukocytes including monocytes, ...

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood

Immunophenotyping of peripheral blood by flow cytometry determines changes in the frequency and activation status of peripheral leukocytes during disease and treatment. It has the potential to predict therapeutic efficacy and identify novel therapeutic targets. Whole blood staining utilizes unmanipulated blood, which minimizes artifacts that can occur during sample preparation. However, whole blood staining must also be done on freshly collected blood to ensure the integrity of the sample. Additionally, it is best to prepare antibody cocktails on the same day to avoid potential instability of tandem-dyes and prevent reagent interaction between brilliant violet dyes. Therefore, whole blood staining requires careful standardization to control for intra and inter-experimental variability.
Here, we report deployment of an automated liquid handler equipped with a two-dimensional (2D) barcode reader into a standard process of making antibody cocktails for flow cytometry. Antibodies were transferred into 2D barcoded tubes arranged in a 96 well format and their contents compiled in a database. The liquid handler could then locate the source antibody vials by referencing antibody names within the database. Our method eliminated tedious coordination for positioning of source antibody tubes. It provided versatility allowing the user to easily change any number of details in the antibody dispensing process such as specific antibody to use, volume, and destination by modifying the database without rewriting the scripting in the software method for each assay.
A proof of concept experiment achieved outstanding inter and intra- assay precision, demonstrated by replicate preparation of an 11-color, 17-antibody flow cytometry assay. These methodologies increased overall throughput for flow cytometry assays and facilitated daily preparation of the complex antibody cocktails required for the detailed phenotypic characterization of freshly collected anticoagulated peripheral blood.

Whole blood Immunophenotyping is indispensable for monitoring the human immune system. However, the number of reagents required and the instability of specific fluorochromes in premixed cocktails necessitates daily reagent preparation. Here we show that semi-automated preparation of staining antibody cocktail helps establish reliable immunophenotyping by minimizing variability in reagent dispensing.

Immunophenotyping of peripheral blood by flow cytometry determines changes in the frequency and activation status of peripheral leukocytes during disease ...

Quantification of Efferocytosis by Single-cell Fluorescence Microscopy

Studying the regulation of efferocytosis requires methods that are able to accurately quantify the uptake of apoptotic cells and to probe the signaling and cellular processes that control efferocytosis. This quantification can be difficult to perform as apoptotic cells are often efferocytosed piecemeal, thus necessitating methods which can accurately delineate between the efferocytosed portion of an apoptotic target versus residual unengulfed cellular fragments. The approach outlined herein utilizes dual-labeling approaches to accurately quantify the dynamics of efferocytosis and efferocytic capacity of efferocytes such as macrophages. The cytosol of the apoptotic cell is labeled with a cell-tracking dye to enable monitoring of all apoptotic cell-derived materials, while surface biotinylation of the apoptotic cell allows for differentiation between internalized and non-internalized apoptotic cell fractions. The efferocytic capacity of efferocytes is determined by taking fluorescent images of live or fixed cells and quantifying the amount of bound versus internalized targets, as differentiated by streptavidin staining. This approach offers several advantages over methods such as flow cytometry, namely the accurate delineation of non-efferocytosed versus efferocytosed apoptotic cell fractions, the ability to measure efferocytic dynamics by live-cell microscopy, and the capacity to perform studies of cellular signaling in cells expressing fluorescently-labeled transgenes. Combined, the methods outlined in this protocol serve as the basis for a flexible experimental approach that can be used to accurately quantify efferocytic activity and interrogate cellular signaling pathways active during efferocytosis.

Efferocytosis, the phagocytic removal of apoptotic cells, is required to maintain homeostasis and is facilitated by receptors and signaling pathways that allow for the recognition, engulfment, and internalization of apoptotic cells. Herein, we present a fluorescence microscopy protocol for the quantification of efferocytosis and the activity of efferocytic signaling pathways.

Studying the regulation of efferocytosis requires methods that are able to accurately quantify the uptake of apoptotic cells and to probe the signaling ...

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

The shape of a bacterium is important for its physiology. Many aspects of cell physiology such as cell motility, predation, and biofilm production can be affected by cell shape. Bacterial cells are three-dimensional (3D) objects, although they are rarely treated as such. Most microscopy techniques result in two-dimensional (2D) images leading to the loss of data pertaining to the actual 3D cell shape and localization of proteins. Certain shape parameters, such as Gaussian curvature (the product of the two principal curvatures), can only be measured in 3D because 2D images do not measure both principal curvatures. Additionally, not all cells lie flat when mounting and 2D imaging of curved cells may not accurately represent the shapes of these cells. Accurately measuring protein localization in 3D can help determine the spatial regulation and function of proteins. A forward convolution technique has been developed that uses the blurring function of the microscope to reconstruct 3D cell shapes and to accurately localize proteins. Here, a protocol for preparing and mounting samples for live cell imaging of bacteria in 3D both to reconstruct an accurate cell shape and to localize proteins is described. The method is based on simple sample preparation, fluorescent image acquisition, and MATLAB-based image processing. Many high-quality fluorescent microscopes can be simply modified to take these measurements. These cell reconstructions are computationally intensive and access to high-throughput computational resources is recommended, although not necessary. This method has been successfully applied to multiple bacterial species and mutants, fluorescent imaging modalities, and microscope manufacturers.

This protocol explains how to prepare and mount bacterial samples for live three-dimensional imaging and how to reconstruct the three-dimensional shape of E. coli from those images.

The shape of a bacterium is important for its physiology. Many aspects of cell physiology such as cell motility, predation, and biofilm production can be ...

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

The immune landscape of the tumor microenvironment (TME) is a determining factor in cancer progression and response to therapy. Specifically, the density and the location of immune cells in the TME have important diagnostic and prognostic values. Multiomic profiling of the TME has exponentially increased our understanding of the numerous cellular and molecular networks regulating tumor initiation and progression. However, these techniques do not provide information about the spatial organization of cells or cell-cell interactions. Affordable, accessible, and easy to execute multiplexing techniques that allow spatial resolution of immune cells in tissue sections are needed to complement single cell-based high-throughput technologies. Here, we describe a strategy that integrates serial imaging, sequential labeling, and image alignment to generate virtual multiparameter slides of whole tissue sections. Virtual slides are subsequently analyzed in an automated fashion using user-defined protocols that enable identification, quantification, and mapping of cell populations of interest. The image analysis is done, in this case using the analysis modules Tissuealign, Author, and HISTOmap. We present an example where we applied this strategy successfully to one clinical specimen, maximizing the information that can be obtained from limited tissue samples and providing an unbiased view of the TME in the entire tissue section.

Here, we describe a simple and accessible strategy for visualizing, quantifying, and mapping immune cells in formalin-fixed paraffin-embedded tumor tissue sections. This methodology combines existing imaging and digital analysis techniques with the purpose of expanding the multiplexing capability and multiparameter analysis of imaging assays.

The immune landscape of the tumor microenvironment (TME) is a determining factor in cancer progression and response to therapy. Specifically, the density ...