TAMI-35. DETECTING SINGLE-CELL INTERACTIONS IN ORGANOTYPIC CULTURES OF GLIOBLASTOMA USING BARCODED RABIES VIRUS

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi205-vi205
Author(s):  
Brian Andersen ◽  
Michael Wheeler ◽  
Zhaorong Li ◽  
E Antonio Chiocca ◽  
David Reardon ◽  
...  

Abstract Cell-cell interactions are thought to drive tumor-promoting signals in the microenvironment of glioblastoma, but standard approaches for single cell analysis do not directly identify cell interactions and the mechanisms that mediate them. We recently developed a novel method to analyze cell-cell interactions—rabies barcode interaction detection followed by sequencing (RABID-seq), which combines barcoded viral tracing and single-cell RNA sequencing (scRNAseq). RABID-seq was first implemented in transgenic mice to investigate the interactions of astrocytes with other cells in the CNS enabling the study of astrocyte connectome perturbations and candidate therapeutic targets in multiple sclerosis and its pre-clinical model, experimental autoimmune encephalomyelitis (EAE). Here, we report the first use of RABID-seq in human tissues in organotypic cultures established from three IDH-wildtype glioblastoma (GBM) patients. In organotypic GBM cultures, initial infection by pseudotyped barcoded rabies virus deficient for viral glycoprotein was achieved after previous culture transduction with a lentivirus containing the avian TVA receptor and rabies glycoprotein under the human EF1a promoter. We employed this system to initially infect approximately 1,000 malignant or non malignant cells in the tumor microenvironment. After five days, infected cells were isolated from cultures and processed for single cell analysis using SMART seq. We were able to capture at least 6,000 interacting cells per tumor specimen, from which barcodes were recovered and cDNA was sent for sequencing. Here we present connectomic data from our initial cohort of three glioblastoma patients as an introduction to RABID-seq, with a focus on astrocyte-tumor interactions. Candidate mechanisms of cellular interactions will undergo functional validation in murine models of glioblastoma.

2020 ◽  
Vol MA2020-02 (44) ◽  
pp. 2825-2825
Author(s):  
Miyu Fukaya ◽  
Tomohiro Hatakenaka ◽  
Nahoko Matsuki ◽  
Seiya Minagawa ◽  
Mikako Saito

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nikita Subedi ◽  
Laura C. Van Eyndhoven ◽  
Ayla M. Hokke ◽  
Lars Houben ◽  
Mark C. Van Turnhout ◽  
...  

AbstractCytotoxicity is a vital effector mechanism used by immune cells to combat pathogens and cancer cells. While conventional cytotoxicity assays rely on averaged end-point measures, crucial insights on the dynamics and heterogeneity of effector and target cell interactions cannot be extracted, emphasizing the need for dynamic single-cell analysis. Here, we present a fully automated droplet-based microfluidic platform that allowed the real-time monitoring of effector-target cell interactions and killing, allowing the screening of over 60,000 droplets identifying 2000 individual cellular interactions monitored over 10 h. During the course of incubation, we observed that the dynamics of cytotoxicity within the Natural Killer (NK) cell population varies significantly over the time. Around 20% of the total NK cells in droplets showed positive cytotoxicity against paired K562 cells, most of which was exhibited within first 4 h of cellular interaction. Using our single cell analysis platform, we demonstrated that the population of NK cells is composed of individual cells with different strength in their effector functions, a behavior masked in conventional studies. Moreover, the versatility of our platform will allow the dynamic and resolved study of interactions between immune cell types and the finding and characterization of functional sub-populations, opening novel ways towards both fundamental and translational research.


2018 ◽  
Author(s):  
Raphaël F.-X. Tomasi ◽  
Sébastien Sart ◽  
Tiphaine Champetier ◽  
Charles N. Baroud

The relevance of traditional cell cultures to cellular behavior in vivo is limited, since the two-dimensional (2D) format does not appropriately reproduce the microenvironment that regulates cell functions. In this context, spheroids are an appealing 3D cell culture format to complement standard techniques, by combining a high level of biological relevance with simple production protocols. However the methods for spheroid manipulation are still labor intensive, which severely limits the complexity of operations that can be performed on statistically relevant numbers of individual spheroids. Here we show how to apply hundreds of different conditions on spheroids in a single microfluidic chip, where each spheroid is produced and immobilized in an anchored droplet. By using asymmetric anchor shapes, a second drop can be merged with the spheroid-containing drop at a later time. This time-delayed merging uniquely enables two classes of applications that we demonstrate: (1) the initiation of cell-cell interactions on demand, either for building micro-tissues within the device or for observing antagonistic cell-cell interactions with applications in immuno-therapy or host-pathogen interactions, (2) a detailed dose-response curve obtained by exposing an array of hepatocyte-like spheroids to droplets containing a wide range of acetaminophen concentrations. The integrated microfluidic format allows time-resolved measurements of the response of hundreds of spheroids with a single-cell resolution. The data shows an internally regulated evolution of each spheroid, in addition to a heterogeneity of the responses to the drug that the single-cell analysis correlates with the initial presence and location of dead cells within each spheroid.


2020 ◽  
Vol 38 (8) ◽  
pp. 970-979 ◽  
Author(s):  
Robert Lorenz Chua ◽  
Soeren Lukassen ◽  
Saskia Trump ◽  
Bianca P. Hennig ◽  
Daniel Wendisch ◽  
...  

The Analyst ◽  
2014 ◽  
Vol 139 (9) ◽  
pp. 2088-2098 ◽  
Author(s):  
Pratikkumar Shah ◽  
Ajeet Kaushik ◽  
Xuena Zhu ◽  
Chengxiao Zhang ◽  
Chen-Zhong Li

A microfluidic CoC system was developed for nanotoxicity assessment at single and multiple cell levels which can measure and compare the microscopic and macroscopic effects of nanoparticles interaction with cells, without interference from neighbor cells' cues and also overall integrative effects produced by nanoparticles and cell–cell communication.


Author(s):  
Alexander Lind ◽  
Falastin Salami ◽  
Anne‐Marie Landtblom ◽  
Lars Palm ◽  
Åke Lernmark ◽  
...  

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