1
|
Alieva M, Barrera Román M, de Blank S, Petcu D, Zeeman AL, Dautzenberg NMM, Cornel AM, van de Ven C, Pieters R, den Boer ML, Nierkens S, Calkoen FGJ, Clevers H, Kuball J, Sebestyén Z, Wehrens EJ, Dekkers JF, Rios AC. BEHAV3D: a 3D live imaging platform for comprehensive analysis of engineered T cell behavior and tumor response. Nat Protoc 2024:10.1038/s41596-024-00972-6. [PMID: 38504137 DOI: 10.1038/s41596-024-00972-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 01/04/2024] [Indexed: 03/21/2024]
Abstract
Modeling immuno-oncology by using patient-derived material and immune cell co-cultures can advance our understanding of immune cell tumor targeting in a patient-specific manner, offering leads to improve cellular immunotherapy. However, fully exploiting these living cultures requires analysis of the dynamic cellular features modeled, for which protocols are currently limited. Here, we describe the application of BEHAV3D, a platform that implements multi-color live 3D imaging and computational tools for: (i) analyzing tumor death dynamics at both single-organoid or cell and population levels, (ii) classifying T cell behavior and (iii) producing data-informed 3D images and videos for visual inspection and further insight into obtained results. Together, this enables a refined assessment of how solid and liquid tumors respond to cellular immunotherapy, critically capturing both inter- and intratumoral heterogeneity in treatment response. In addition, BEHAV3D uncovers T cell behavior involved in tumor targeting, offering insight into their mode of action. Our pipeline thereby has strong implications for comparing, prioritizing and improving immunotherapy products by highlighting the behavioral differences between individual tumor donors, distinct T cell therapy concepts or subpopulations. The protocol describes critical wet lab steps, including co-culture preparations and fast 3D imaging with live cell dyes, a segmentation-based image processing tool to track individual organoids, tumor and immune cells and an analytical pipeline for behavioral profiling. This 1-week protocol, accessible to users with basic cell culture, imaging and programming expertise, can easily be adapted to any type of co-culture to visualize and exploit cell behavior, having far-reaching implications for the immuno-oncology field and beyond.
Collapse
Affiliation(s)
- Maria Alieva
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
- Instituto de Investigaciones Biomédicas Sols-Morreale (IIBM), CSIC-UAM, Madrid, Spain.
| | - Mario Barrera Román
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Sam de Blank
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Diana Petcu
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Amber L Zeeman
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | | | - Annelisa M Cornel
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Center for Translational Immunology, University Medical Centre (UMC) Utrecht, Utrecht, the Netherlands
| | - Cesca van de Ven
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Rob Pieters
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Monique L den Boer
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Stefan Nierkens
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Center for Translational Immunology, University Medical Centre (UMC) Utrecht, Utrecht, the Netherlands
| | - Friso G J Calkoen
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Hans Clevers
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, Utrecht, the Netherlands
- Pharma, Research and Early Development (pRED), F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Jürgen Kuball
- Center for Translational Immunology, University Medical Centre (UMC) Utrecht, Utrecht, the Netherlands
- Department of Hematology, UMC Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Zsolt Sebestyén
- Center for Translational Immunology, University Medical Centre (UMC) Utrecht, Utrecht, the Netherlands
| | - Ellen J Wehrens
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Johanna F Dekkers
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Anne C Rios
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
- Oncode Institute, Utrecht, the Netherlands.
| |
Collapse
|
2
|
Stan G, Orban H, Orban C, Petcu D, Gheorghe P. The influence of total knee arthroplasty on postural control. Chirurgia (Bucur) 2013; 108:874-878. [PMID: 24331329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/01/2013] [Indexed: 06/03/2023]
Abstract
INTRODUCTION The aim of this study is to assess the changes induced by the unilateral total knee arthroplasty procedure in human postural control. MATERIALS AND METHODS The measurements were performed using the "AMTI AccuGait" force plate. Subjects completed three consecutive double-limb standing balance trials. The mediolateral and anteroposterior displacements were derived from the force and moment profiles measured by the force platform. The path length per unit time (average velocity) and Elipse 95 (collect 95% of data) were also assessed. RESULTS Mediolateral displacement increase of 3.4% was observed postoperatively. Postoperative anterolateral displacement increase of 23.2% was recorded. The average velocity also rose by 16.8% postoperatively. The Elipse 95 grew by 33.7%postoperatively. DISCUSSION Excepting mediolateral displacement, all the other studied parameters showed significantly (p 0.05) higher values in the postoperative period compared with the preoperative one, in both open and closed eye trials. CONCLUSIONS The study results demonstrate that balance control is weaker shortly after unilateral knee arthroplasty,than in the preoperative period. Although proprioception is altered in osteoarthritic knees, the TKA procedure may additionally affect proprioceptors. The TKA causes additional instability in the days after the procedure, therefore the risk of falling injuries is higher in this period.
Collapse
|