Abstract P068: Automated cell type specific PD-L1 quantification by artificial intelligence using high throughput bleach & stain 15-marker multiplex fluorescence immunohistochemistry in human cancers

Author(s):  
Niclas C. Blessin ◽  
Elena Bady ◽  
Tim Mandelkow ◽  
Cheng Yang ◽  
Jonas B. Raedler ◽  
...  
2020 ◽  
Author(s):  
Kun Zhang ◽  
Yanbin Zhao

AbstractCell-based assays represent nearly half of all high-throughput screens currently conducted for risk assessment of environmental chemicals. However, the sensitivity and heterogeneity among cell lines has long been concerned but explored only in a limited manner. Here, we address this question by conducting a large scale transcriptomic analysis of the responses of discrete cell lines to specific small molecules. Our results illustrate heterogeneity of the extent and timing of responses among cell lines. Interestingly, high sensitivity and/or heterogeneity was found to be cell type-specific or universal depending on the different mechanism of actions of the compounds. Our data provide a novel insight into the understanding of cell-small molecule interactions and have substantial implications for the design, execution and interpretation of high-throughput screening assays.


2020 ◽  
Author(s):  
Xiao Qin ◽  
Jahangir Sufi ◽  
Petra Vlckova ◽  
Pelagia Kyriakidou ◽  
Sophie E. Acton ◽  
...  

Abstract Organoids are powerful biomimetic tissue models. Despite their increasing popularity, no existing methods are suitable for cell-type specific analysis of post-translational modification (PTM) signalling networks in organoids. Here we report a multivariate mass cytometry (MC) protocol for single-cell analysis of cell-type specific PTM signalling in organoid monocultures and organoids co-cultured with stromal and immune cells. Thiol-reactive Organoid Barcoding in situ (TOBis) was developed to facilitate high-throughput comparison of signalling networks between organoid cultures. Taken together, our protocol enables high-throughput multivariate PTM signalling analysis of healthy and cancerous organoids at the single-cell level.


2019 ◽  
Author(s):  
Xiao Qin ◽  
Jahangir Sufi ◽  
Petra Vlckova ◽  
Pelagia Kyriakidou ◽  
Sophie E. Acton ◽  
...  

Organoids are powerful biomimetic tissue models. Despite their widespread adoption, methods to analyse cell-type specific post-translational modification (PTM) signalling networks in organoids are absent. Here we report multivariate single-cell analysis of cell-type specific signalling networks in organoids and organoid co-cultures. Simultaneous measurement of 28 PTMs in >1 million single small intestinal organoid cells by mass cytometry reveals cell-type and cell-state specific signalling networks in stem, Paneth, enteroendocrine, tuft, goblet cells, and enterocytes. Integrating single-cell PTM analysis with Thiol-reactive Organoid Barcoding in situ (TOBis) enables high-throughput comparison of signalling networks between organoid cultures. Multivariate cell-type specific PTM analysis of colorectal cancer tumour microenvironment organoids reveals that shApc, KrasG12D, and Trp53R172H cell-autonomously mimic signalling states normally induced by stromal fibroblasts and macrophages. These results demonstrate how standard mass cytometry workflows can be modified to perform high-throughput multivariate cell-type specific signalling analysis of healthy and cancerous organoids.


2021 ◽  
Vol 14 ◽  
Author(s):  
Henrik Renner ◽  
Katharina J. Becker ◽  
Theresa E. Kagermeier ◽  
Martha Grabos ◽  
Farsam Eliat ◽  
...  

Toxicity testing is a crucial step in the development and approval of chemical compounds for human contact and consumption. However, existing model systems often fall short in their prediction of human toxicity in vivo because they may not sufficiently recapitulate human physiology. The complexity of three-dimensional (3D) human organ-like cell culture systems (“organoids”) can generate potentially more relevant models of human physiology and disease, including toxicity predictions. However, so far, the inherent biological heterogeneity and cumbersome generation and analysis of organoids has rendered efficient, unbiased, high throughput evaluation of toxic effects in these systems challenging. Recent advances in both standardization and quantitative fluorescent imaging enabled us to dissect the toxicities of compound exposure to separate cellular subpopulations within human organoids at the single-cell level in a framework that is compatible with high throughput approaches. Screening a library of 84 compounds in standardized human automated midbrain organoids (AMOs) generated from two independent cell lines correctly recognized known nigrostriatal toxicants. This approach further identified the flame retardant 3,3′,5,5′-tetrabromobisphenol A (TBBPA) as a selective toxicant for dopaminergic neurons in the context of human midbrain-like tissues for the first time. Results were verified with high reproducibility in more detailed dose-response experiments. Further, we demonstrate higher sensitivity in 3D AMOs than in 2D cultures to the known neurotoxic effects of the pesticide lindane. Overall, the automated nature of our workflow is freely scalable and demonstrates the feasibility of quantitatively assessing cell-type-specific toxicity in human organoids in vitro.


2019 ◽  
Vol 25 (3) ◽  
pp. 253-264
Author(s):  
Rosita R. Asawa ◽  
Alexey Zakharov ◽  
Taylor Niehoff ◽  
Ata Chitsaz ◽  
Ajit Jadhav ◽  
...  

Histone deacetylases (HDACs) are epigenetic modulators linked to diseases including cancer and neurodegeneration. Given their therapeutic potential, highly sensitive biochemical and cell-based profiling technologies have been developed to discover small-molecule HDAC inhibitors. Ultimately, the therapeutic action of these inhibitors is dependent on a physical engagement with their intended targets in cellular and tissue environments. Confirming target engagement in the cellular environment is particularly relevant for HDACs since they function as part of cell type-specific multiprotein complexes. Here we implemented two recently developed high-throughput target engagement technologies, NanoBRET and SplitLuc CETSA, to profile 349 compounds in the Epigenetic-Focused collection for HDAC1 binding. We found that the two HDAC1 target engagement assays correlated well with each other and with orthogonal activity-based assays, in particular those carried out in cellular environments rather than with isolated HDAC proteins. The assays detected a majority of the previously described HDAC1 inhibitors in the collection and, importantly, triaged HDAC inhibitors known to target other HDACs.


2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Mario Niepel ◽  
Marc Hafner ◽  
Qiaonan Duan ◽  
Zichen Wang ◽  
Evan O. Paull ◽  
...  

2020 ◽  
Author(s):  
Xiao Qin ◽  
Jahangir Sufi ◽  
Petra Vlckova ◽  
Pelagia Kyriakidou ◽  
Sophie E. Acton ◽  
...  

Abstract Organoids are powerful biomimetic tissue models. Despite their increasing popularity, no existing methods are suitable for cell-type specific analysis of post-translational modification (PTM) signalling networks in organoids. Here we report a multivariate mass cytometry (MC) protocol for single-cell analysis of cell-type specific PTM signalling in organoid monocultures and organoids co-cultured with stromal and immune cells. Thiol-reactive Organoid Barcoding in situ (TOBis) was developed to facilitate high-throughput comparison of signalling networks between organoid cultures. Taken together, our protocol enables high-throughput multivariate PTM signalling analysis of healthy and cancerous organoids at the single-cell level.


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