High throughput, cell type-specific analysis of key proteins in human endometrial biopsies links infertility to leukemia inhbitory factor, progesterone receptor-B and integrin αIIb dysregulation

2008 ◽  
Vol 90 ◽  
pp. S162 ◽  
Author(s):  
D.R. Armant ◽  
P.A. Jessmon ◽  
M. Kruger ◽  
M.P. Diamond ◽  
C. Coutifaris ◽  
...  
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.


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.


2012 ◽  
Vol 27 (3) ◽  
pp. 814-828 ◽  
Author(s):  
Richard E. Leach ◽  
Philip Jessmon ◽  
Christos Coutifaris ◽  
Michael Kruger ◽  
Evan R. Myers ◽  
...  

2020 ◽  
Author(s):  
Emily A. McGlade ◽  
Gerardo G. Herrera ◽  
Kalli K. Stephens ◽  
Sierra L. W. Olsen ◽  
Sarayut Winuthayanon ◽  
...  

AbstractOne of the endogenous estrogens, 17β-estradiol (E2) is a female steroid hormone secreted from the ovary. It is well established that E2 causes biochemical and histological changes in the uterus. The oviduct response to E2 is virtually unknown in an in vivo environment. In this study, we assessed the effect of E2 on each oviductal cell type, using an ovariectomized-hormone-replacement mouse model, single cell RNA-sequencing (scRNA-seq), in situ hybridization, and cell-type-specific deletion in mice. We found that each cell type in the oviduct responded to E2 distinctively, especially ciliated and secretory epithelial cells. The treatment of exogenous E2 did not drastically alter the transcriptomic profile from that of endogenous E2 produced during estrus. Moreover, we have identified and validated genes of interest in our datasets that may be used as cell- and region-specific markers in the oviduct. Insulin-like growth factor 1 (Igf1) was characterized as an E2-target gene in the mouse oviduct and was also expressed in human Fallopian tubes. Deletion of Igf1 in progesterone receptor (Pgr)-expressing cells resulted in female subfertility, partially due to an embryo developmental defect and embryo retention within the oviduct. In summary, we have shown that oviductal cell types are differentially regulated by E2 and support gene expression changes that are required for normal embryo development and transport in mouse models.


2007 ◽  
Vol 21 (5) ◽  
Author(s):  
Ronald M. Lynch ◽  
Roger Barthelson ◽  
Julia Cates ◽  
Heddwen L. Brooks ◽  
David W. Galbraith

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.


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.


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