Summary

Ex-vivo-Live-Imaging von Lungenmetastasen und deren Mikromilieu

Published: February 03, 2016
doi:

Summary

Wir beschreiben ein relativ einfaches Verfahren zur ex vivo Echtzeit-Bildgebung der Tumorzell Stroma Wechselwirkungen innerhalb Lungenmetastasen unter Verwendung fluoreszierenden Reportern in Mäusen. Verwendung von Spinnplatten konfokale Mikroskopie, ermöglicht diese Technik Visualisierung von lebenden Zellen für mindestens 4 h und angepasst werden könnten andere entzündliche Lungenerkrankungen zu untersuchen.

Abstract

Metastasierung ist eine Hauptursache für krebsbedingten Morbidität und Mortalität. Metastasierung ist ein mehrstufiger Prozess und aufgrund seiner Komplexität, die genauen zellulären und molekularen Prozesse, die metastatische Verbreitung und Wachstum sind immer noch schwer zu regieren. Echtzeit-Bildgebung ermöglicht die Visualisierung der dynamischen und räumlichen Wechselwirkungen von Zellen und ihrer Mikroumgebung. Soliden Tumoren metastasieren häufig in die Lunge. Jedoch stellt die anatomische Lage der Lungen eine Herausforderung für die intravital Bildgebung. Dieses Protokoll stellt eine relativ einfache und schnelle Methode zur ex vivo Echtzeit-Bildgebung der dynamischen Wechselwirkungen zwischen Tumorzellen und ihrer Umgebung Stroma in Lungenmetastasen. Mit dieser Methode kann die Motilität von Krebszellen als auch Wechselwirkungen zwischen Krebszellen und Stromazellen in ihrer Mikroumgebung für mehrere Stunden in Echtzeit visualisiert werden. transgenen fluoreszierenden Reporter-Mäuse Durch die Verwendung eines fluoreszierenden Zelllinie, injizierbare fluoreszenzmarkiertenMoleküle und / oder Antikörper, mehrere Komponenten der Lunge Mikroumgebung visualisiert, wie Blutgefäße und Immunzellen werden. Um das Bild zu den verschiedenen Zelltypen, eine sich drehende Scheibe konfokalen Mikroskop, das langfristige kontinuierliche Bildgebung mit schnellen, vierfarbige Bildaufnahme ermöglicht verwendet wurde. Zeitraffer-Filme aus Bildern zusammengestellt mehrere Positionen und Brennebenen gesammelt über zeigen Wechselwirkungen zwischen Live-metastatischen und Immunzellen für mindestens 4 Stunden. Diese Technik kann weiter zu testen Chemotherapie oder gezielte Therapie verwendet werden. Darüber hinaus könnte dieses Verfahren für die Untersuchung von anderen Lungenbezogenen Pathologien angepasst werden, dass die Lunge Mikroumgebung beeinflussen.

Introduction

The deadliest aspect of cancer is metastasis, which accounts for more than 90% of cancer-related morbidity and mortality1. Metastasis is a multistep process and due to its complexity, the exact cellular and molecular mechanisms that govern metastatic dissemination and growth are still elusive. To metastasize, tumor cells in the primary tumor must detach from their neighboring cells and basement membrane, cross through the extracellular matrix, intravasate, travel via blood or lymphatic vessels, extravasate at the secondary site, and finally, survive and establish secondary tumors. In addition to the properties of the tumor cells, the contribution from the microenvironment, which includes the adjacent stroma along with the normal counterparts of the cancer cells, is crucial for the seeding and establishment of metastatic lesions2.

Traditional methods to study metastatic seeding and growth examine static states, as tissues are excised and sectioned for histology. These data only generate a snapshot of this highly dynamic process. Although some useful information can be gained from these studies, the complicated process by which tumor and stromal cells interact during metastatic formation cannot be adequately assessed by these methods. Furthermore, it is not possible to gain insights into tumor or stromal cell migration patterns, which are important in establishing a colony at the distant site. In order to effectively study the metastatic process, it is essential to visualize various interactions between cancer cells and their microenvironment in a continuous manner and at real time.

The lung is a common site for metastases from solid tumors as breast, colorectal, pancreatic cancer, melanoma and sarcoma3. Intravital imaging was previously used to study cell-cell interaction in various primary tumor and metastatic models4,5. Methods of lung imaging in mice, including intravital imaging, lung section imaging, and an ex vivo pulmonary metastasis assay have been published6–9. Intravital imaging of mouse lungs utilizes a thoracic suction window to stabilize the lungs6. This method is used for time-lapse imaging of the lung microcirculation and alveolar spaces. The anatomical location of the lungs poses a challenge to intravital imaging. In order to access the lungs, the chest cavity must be opened which leads to loss of negative pressure and collapsed lungs. This method only allows the visualization of a small part of the lungs and is technically demanding; an unnecessary complication in studies that examine processes that are independent of blood flow. Moreover, this method also requires gating out movement caused by breathing. This is done either by collecting images between breaths or during post image acquisition analyses10. The alternative ex vivo lung section imaging provides stability and depth, and also prepares lung parenchyma for immunostaining7. However, the lengthy sectioning process leads to an extensive delay between the time of animal sacrifice and the start of the imaging session. Moreover, the process of sectioning a mouse lung causes considerable amount of cell death8, thus interfering with the quality and quantity of imaging samples and perhaps needlessly altering tumor-stroma interactions. In order to technically bridge between the methods of intravital imaging and lung section imaging, while exploiting the advantages of the two techniques, a relatively fast and easy method for ex vivo lung imaging was developed. This method was achieved by imaging of non-sectioned whole lung lobes. Using this method, the motility of cancer cells as well as interactions between cancer cells and stromal cells in their microenvironment can be visualized in real time for several hours.

Protocol

Alle beschriebenen Verfahren muss mit Richtlinien und Vorschriften für den Einsatz von Wirbeltieren, einschließlich der vorherigen Zustimmung durch die lokalen Institutional Animal Care und Use Committee (IACUC) entsprechend durchgeführt werden. 1. Erzeugung von Lungenmetastasen für Ex-Live-Imaging (Transgene oder Schwanzveneninjektion) vivo HINWEIS: Lungenmetastasen kann durch Verwendung gentechnisch veränderter Mausmodelle oder durch in…

Representative Results

Mit Spinnen-Scheibe konfokalen Mikroskopie, verschiedene Mausmodellsystemen und Injektionen kann der metastatischen Mikroumgebung sichtbar gemacht und im Laufe der Zeit verfolgt werden. Mit Hilfe eines MMTV-PyMT; ACTB-ECFP; c-fms-EGFP dreifach transgenen Mausmodell, verschiedenen zellulären Komponenten werden fluoreszenzmarkierten (2A, Film 1). Die typische Struktur des Lungenparenchym kann in der GFP-Kanal sichtbar gemacht werden, da alle Zellen unter der β-Actin-Promotors e…

Discussion

Dieses Manuskript beschreibt ein detailliertes Verfahren zur ex vivo Echtzeit-Bildgebung von Lungenmetastasen in Maus-Modellen der Metastasierung. Diese Bildgebungsprotokoll stellt eine direkte Visualisierung der Dynamik und räumliche Tumorzell-Stroma-Interaktionen innerhalb der Lunge Mikroumgebung. Es ist eine relativ einfache und schnelle Methode, die für mindestens 4 h zuverlässige Abbildung von Lungenmetastasen ermöglicht. Filme aus diesen Experimenten erworben kann verwendet werden, um dynamische Proze…

Disclosures

The authors have nothing to disclose.

Acknowledgements

We thank Nguyen H. Nguyen for her technical help and Audrey O’Neill for support with the Zeiss Cell Observer spinning-disk confocal microscope. This work was supported by a Department of Defense postdoctoral fellowship (W81XWH-11-01-0139) and the Weizmann Institute of Science-National Postdoctoral Award Program for Advancing Women in Science (to V.P.).

Materials

MMTV-PyMT/FVB mice Jackson Laboratory 2374 Female mice
ACTB-ECFP/FVB mice UCSF Werb lab Female mice
c-fms-EGFP/FVB mice UCSF Werb lab Female mice
FVB mice Jackson Laboratory 1800 Female mice
GFP+ VO-PyMT cells UCSF Werb lab
70,000 kDa Dextran, rhodamine-conjugated Invitrogen D1818 Dilute to  4mg/ml in 1 x PBS and store at -20  °C. Use 0.4 mg per animal. 
10,000 kDa Dextran, Alexa Fluor 647 conjugated Invitrogen D22914 Dilute to  4mg/ml in 1 x PBS and store at -20  °C. Use 0.4 mg per animal. 
Anti-mouse Gr-1 antibody Alexa Fluor 647 UCSF Monoclonal antibody core Stock 1mg/ml. Use 7 ug per animal.
Anesthetic Anesthesia approved by IACUC, used for anesthesia and/or euthanesia
1X PBS UCSF cell culture facility
PBS, USP sterile  Amresco INC K813-500ML Ultra pure grade for i.v. injection
Styrofoam platform Will be used as dissection board
Fine scissors sharp  Fine Science Tools 14060-11
Forceps Roboz Surgical Store RS-5135
Hot bead sterilizer Fine Science Tools 18000-45 Turn ON 30min before use
Air UCSF
Oxygen UCSF
Carbon dioxide UCSF
1 mL syringe without needle  BD 309659
27 G x 1/2 needle   BD 305109 for i.v. injection
20 G x 1 needle, short bevel   BD 305178
Low-melting-temperature agarose  Lonza 50111 To make 10 ml of solution, weigh 0.2 g of agarose, add to 10 ml 1 x PBS, and heat to dissolve. Agarose will solidify at room temperature, so maintain in a 37 °C water bath until used for inflation.
RPMI-1640 medium without phenol red Life Technologies 11835-030
24 well Imaging plate  E&K scientific EK-42892
Glass cover slides, 15 mm  Fisher Scientific 22-031-144
Digital CO2 and temperature controller Okolab DGTCO2BX http://www.oko-lab.com
Climate chamber Okolab http://www.oko-lab.com
Cell Observer spinning disk confocal microscope Zeiss
Zen software Zeiss
Inverted microscope Carl Zeiss Inc Zeiss Axiovert 200M
ICCD camera Stanford Photonics XR-Mega-10EX S-30
Spinning disk confocal scan-head Yokogawa Corporation CSU-10b
Imaris Bitplane
mManager Vale lab, UCSF Open-source software

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Cite This Article
van den Bijgaart, R. J., Kong, N., Maynard, C., Plaks, V. Ex vivo Live Imaging of Lung Metastasis and Their Microenvironment. J. Vis. Exp. (108), e53741, doi:10.3791/53741 (2016).

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