scholarly journals High-Content Analysis of Proapoptotic EphA4 Dependence Receptor Functions Using Small-Molecule Libraries

2012 ◽  
Vol 17 (6) ◽  
pp. 785-795 ◽  
Author(s):  
Claudiu M. Nelersa ◽  
Henry Barreras ◽  
Erik Runko ◽  
Jerome Ricard ◽  
Yan Shi ◽  
...  
Keyword(s):  
Cell Death ◽  
Content Analysis ◽  
Small Molecule ◽  
Cancer Biology ◽  
Membrane Receptors ◽  
Potential Candidate ◽  
Cns Injury ◽  
Selective Approach ◽  
High Content Analysis ◽  
Dependence Receptor

Small-molecule compounds (SMCs) can provide an inexpensive and selective approach to modifying biological responses. High-content analysis (HCA) of SMC libraries can help identify candidate molecules that inhibit or activate cellular responses. In particular, regulation of cell death has important implications for many pathological conditions. Dependence receptors are a new classification of proapoptotic membrane receptors that, unlike classic death receptors, initiate apoptotic signals in the absence of their ligands. EphA4 has recently been identified as a dependence receptor that may have important functions in conditions as disparate as cancer biology and CNS injury and disease. To screen potential candidate SMCs that inhibit or activate EphA4-induced cell death, HCA of an SMC library was performed using stable EphA4-expressing NIH 3T3 cells. Our results describe a high-content method for screening dependence receptor-signaling pathways and demonstrate that several candidate SMCs can inhibit EphA4-mediated cell death.

High content analysis of differentiation and cell death in human adipocytes

2013 ◽  
pp. n/a-n/a ◽  
Author(s):  
Minh X. Q. Doan ◽  
Anitta K. Sarvari ◽  
Pamela Fischer-Posovszky ◽  
Martin Wabitsch ◽  
Zoltan Balajthy ◽  
...  
Keyword(s):  
Cell Death ◽  
Content Analysis ◽  
Human Adipocytes ◽  
High Content Analysis

scholarly journals High-content analysis of α-synuclein aggregation and cell death in a cellular model of Parkinson's disease

2016 ◽  
Vol 261 ◽  
pp. 117-127 ◽  
Author(s):  
Francesca Macchi ◽  
Angélique Deleersnijder ◽  
Chris Van den Haute ◽  
Sebastian Munck ◽  
Hans Pottel ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cell Death ◽  
Content Analysis ◽  
Cellular Model ◽  
High Content Analysis

Anticancer Activity of Diosgenin and its Semi-synthetic Derivatives: Role in Autophagy Mediated Cell Death and Induction of Apoptosis

2021 ◽  
Vol 21 ◽  
Author(s):  
Nivedita Bhardwaj ◽  
Nancy Tripathi ◽  
Bharat Goel ◽  
Shreyans K. Jain
Keyword(s):  
Cell Death ◽  
Cancer Treatment ◽  
Anticancer Activity ◽  
Tumor Cells ◽  
Cancer Progression ◽  
Rational Approach ◽  
Potential Candidate ◽  
Potential Implication ◽  
Apoptosis Protein ◽  
Synthetic Derivatives

: During cancer progression, the unrestricted proliferation of cells is supported by the impaired cell death response provoked by certain oncogenes. Both autophagy and apoptosis are the signaling pathways of cell death, which are targeted for cancer treatment. Defects in apoptosis result in reduced cell death and ultimately tumor progression. The tumor cells lacking apoptosis phenomena are killed by ROS- mediated autophagy. The autophagic programmed cell death requires apoptosis protein for inhibiting tumor growth; thus, the interconnection between these two pathways determines the fate of a cell. The cross-regulation of autophagy and apoptosis is an important aspect to modulate autophagy, apoptosis and to sensibilise apoptosis-resistant tumor cells under metabolic stress and might be a rational approach for drug designing strategy for the treatment of cancer. Numerous proteins involved in autophagy have been investigated as the druggable target for anticancer therapy. Several compounds of natural origin have been reported, to control autophagy activity through the PI3K/Akt/mTOR key pathway. Diosgenin, a steroidal sapogenin has emerged as a potential candidate for cancer treatment. It induces ROS-mediated autophagy, inhibits PI3K/Akt/mTOR pathway, and produces cytotoxicity selectively in cancer cells. This review aims to focus on optimal strategies using diosgenin to induce apoptosis by modulating the pathways involved in autophagy regulation and its potential implication in the treatment of various cancer. The discussion has been extended to the medicinal chemistry of semi-synthetic derivatives of diosgenin exhibiting anticancer activity.

scholarly journals Progress in understanding the role of lncRNA in programmed cell death

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Na Jiang ◽  
Xiaoyu Zhang ◽  
Xuejun Gu ◽  
Xiaozhuang Li ◽  
Lei Shang
Keyword(s):  
Cell Death ◽  
Programmed Cell Death ◽  
Molecular Mechanisms ◽  
Membrane Receptors ◽  
Gene Expressions ◽  
Apoptosis Pathway ◽  
Stem Cell Pluripotency ◽  
Extrinsic Apoptosis ◽  
Related Proteins ◽  
Cycle Regulation

AbstractLong non-coding RNAs (lncRNAs) are transcripts longer than 200 nucleotides but not translated into proteins. LncRNAs regulate gene expressions at multiple levels, such as chromatin, transcription, and post-transcription. Further, lncRNAs participate in various biological processes such as cell differentiation, cell cycle regulation, and maintenance of stem cell pluripotency. We have previously reported that lncRNAs are closely related to programmed cell death (PCD), which includes apoptosis, autophagy, necroptosis, and ferroptosis. Overexpression of lncRNA can suppress the extrinsic apoptosis pathway by downregulating of membrane receptors and protect tumor cells by inhibiting the expression of necroptosis-related proteins. Some lncRNAs can also act as competitive endogenous RNA to prevent oxidation, thereby inhibiting ferroptosis, while some are known to activate autophagy. The relationship between lncRNA and PCD has promising implications in clinical research, and reports have highlighted this relationship in various cancers such as non-small cell lung cancer and gastric cancer. This review systematically summarizes the advances in the understanding of the molecular mechanisms through which lncRNAs impact PCD.

scholarly journals TNF-α Triggers RIP1/FADD/Caspase-8-Mediated Apoptosis of Astrocytes and RIP3/MLKL-Mediated Necroptosis of Neurons Induced by Angiostrongylus cantonensis Infection

2021 ◽  
Author(s):  
Hongli Zhou ◽  
Minyu Zhou ◽  
Yue Hu ◽  
Yanin Limpanon ◽  
Yubin Ma ◽  
...  
Keyword(s):  
Cell Death ◽  
Enrichment Analysis ◽  
Angiostrongylus Cantonensis ◽  
Gene Set Enrichment Analysis ◽  
Caspase 8 ◽  
Cns Injury ◽  
Vitro Assay ◽  
Tnf Α

AbstractAngiostrongylus cantonensis (AC) can cause severe eosinophilic meningitis or encephalitis in non-permissive hosts accompanied by apoptosis and necroptosis of brain cells. However, the explicit underlying molecular basis of apoptosis and necroptosis upon AC infection has not yet been elucidated. To determine the specific pathways of apoptosis and necroptosis upon AC infection, gene set enrichment analysis (GSEA) and protein–protein interaction (PPI) analysis for gene expression microarray (accession number: GSE159486) of mouse brain infected by AC revealed that TNF-α likely played a central role in the apoptosis and necroptosis in the context of AC infection, which was further confirmed via an in vivo rescue assay after treating with TNF-α inhibitor. The signalling axes involved in apoptosis and necroptosis were investigated via immunoprecipitation and immunoblotting. Immunofluorescence was used to identify the specific cells that underwent apoptosis or necroptosis. The results showed that TNF-α induced apoptosis of astrocytes through the RIP1/FADD/Caspase-8 axis and induced necroptosis of neurons by the RIP3/MLKL signalling pathway. In addition, in vitro assay revealed that TNF-α secretion by microglia increased upon LSA stimulation and caused necroptosis of neurons. The present study provided the first evidence that TNF-α was secreted by microglia stimulated by AC infection, which caused cell death via parallel pathways of astrocyte apoptosis (mediated by the RIP1/FADD/caspase-8 axis) and neuron necroptosis (driven by the RIP3/MLKL complex). Our research comprehensively elucidated the mechanism of cell death after AC infection and provided new insight into targeting TNF-α signalling as a therapeutic strategy for CNS injury.

scholarly journals Identification of a small molecule as inducer of ferroptosis and apoptosis through ubiquitination of GPX4 in triple negative breast cancer cells

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yahui Ding ◽  
Xiaoping Chen ◽  
Can Liu ◽  
Weizhi Ge ◽  
Qin Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Death ◽  
Small Molecule ◽  
Mode Of Action ◽  
Rna Silencing ◽  
Breast Cancer Cells ◽  
Triple Negative ◽  
Parent Compound ◽  
Aggressive Breast Cancer

Abstract Background TNBC is the most aggressive breast cancer with higher recurrence and mortality rate than other types of breast cancer. There is an urgent need for identification of therapeutic agents with unique mode of action for overcoming current challenges in TNBC treatment. Methods Different inhibitors were used to study the cell death manner of DMOCPTL. RNA silencing was used to evaluate the functions of GPX4 in ferroptosis and apoptosis of TNBC cells and functions of EGR1 in apoptosis. Immunohistochemical assay of tissue microarray were used for investigating correlation of GPX4 and EGR1 with TNBC. Computer-aided docking and small molecule probe were used for study the binding of DMOCPTL with GPX4. Results DMOCPTL, a derivative of natural product parthenolide, exhibited about 15-fold improvement comparing to that of the parent compound PTL for TNBC cells. The cell death manner assay showed that the anti-TNBC effect of DMOCPTL mainly by inducing ferroptosis and apoptosis through ubiquitination of GPX4. The probe of DMOCPTL assay indicated that DMOCPTL induced GPX4 ubiquitination by directly binding to GPX4 protein. To the best of our knowledge, this is the first report of inducing ferroptosis through ubiquitination of GPX4. Moreover, the mechanism of GPX4 regulation of apoptosis is still obscure. Here, we firstly reveal that GPX4 regulated mitochondria-mediated apoptosis through regulation of EGR1 in TNBC cells. Compound 13, the prodrug of DMOCPTL, effectively inhibited the growth of breast tumor and prolonged the lifespan of mice in vivo, and no obvious toxicity was observed. Conclusions These findings firstly revealed novel manner to induce ferroptosis through ubiquitination of GPX4 and provided mechanism for GPX4 inducing mitochondria-mediated apoptosis through up-regulation of EGR1 in TNBC cells. Moreover, compound 13 deserves further studies as a lead compound with novel mode of action for ultimate discovery of effective anti-TNBC drug.

Development and Validation of High-Content Analysis for Screening HDAC6-Selective Inhibitors

2021 ◽  
pp. 247255522110024
Author(s):  
Yunhong Nong ◽  
Yanyan Hou ◽  
Yuting Pu ◽  
Si Li ◽  
Yan Lan
Keyword(s):  
Content Analysis ◽  
Adverse Effects ◽  
Hdac Inhibitors ◽  
Histone H3 ◽  
Class I ◽  
Cell Seeding ◽  
Clinical Evaluations ◽  
Structure Activity ◽  
High Content Analysis ◽  
Development And Validation

Throughout recent decades, histone deacetylase (HDAC) inhibitors have shown encouraging potential in cancer treatment, and several pan-HDAC inhibitors have been approved for treating malignant cancers. Numerous adverse effects of pan-HDAC inhibitors have been reported, however, during preclinical and clinical evaluations. To avoid undesirable responses, an increasing number of investigations are focusing on the development of isotype-selective HDAC inhibitors. In this study, we present an effective and quantitative cellular assay using high-content analysis (HCA) to determine compounds’ inhibition of the activity of HDAC6 and Class I HDAC isoforms, by detecting the acetylation of their corresponding substrates (i.e., α-tubulin and histone H3). Several conditions that are critical for HCA assays, such as cell seeding number, fixation and permeabilization reagent, and antibody dilution, have been fully validated in this study. We used selective HDAC6 inhibitors and inhibitors targeting different HDAC isoforms to optimize and validate the capability of the HCA assay. The results indicated that the HCA assay is a robust assay for quantifying compounds’ selectivity of HDAC6 and Class I HDAC isoforms in cells. Moreover, we screened a panel of compounds for HDAC6 selectivity using this HCA assay, which provided valuable information for the structure–activity relationship (SAR). In summary, our results suggest that the HCA assay is a powerful tool for screening selective HDAC6 inhibitors.

scholarly journals Machine learning-assisted high-content analysis of pluripotent stem cell-derived embryos in vitro

2021 ◽  
Author(s):  
Jianying Guo ◽  
Peizhe Wang ◽  
Berna Sozen ◽  
Hui Qiu ◽  
Yonglin Zhu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Content Analysis ◽  
Stem Cell ◽  
Pluripotent Stem Cell ◽  
High Content Analysis

scholarly journals Organizational metrics of interchromatin speckle factor domains: integrative classifier for stem cell adhesion & lineage signaling

2015 ◽  
Vol 7 (4) ◽  
pp. 435-446 ◽  
Author(s):  
Sebastián L. Vega ◽  
Anandika Dhaliwal ◽  
Varun Arvind ◽  
Parth J. Patel ◽  
Nick R. M. Beijer ◽  
...  
Keyword(s):  
Content Analysis ◽  
Stem Cell ◽  
Cell Adhesion ◽  
Nuclear Protein ◽  
Cell Lineage ◽  
Lineage Commitment ◽  
Cell Microenvironment ◽  
Stem Cell Lineage ◽  
High Content Analysis

Timely classification of stem cell lineage commitment in response to cell–microenvironment interactions using high content analysis of sub-nuclear protein organization.

scholarly journals High-Content Analysis to Leverage a Robust Phenotypic Profiling Approach to Vascular Modulation

2013 ◽  
Vol 18 (10) ◽  
pp. 1246-1259 ◽  
Author(s):  
Beverley J. Isherwood ◽  
Rebecca E. Walls ◽  
Mark E. Roberts ◽  
Thomas M. Houslay ◽  
Sandra R. Brave ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Content Analysis ◽  
Cell Biology ◽  
High Volume ◽  
Phenotypic Screening ◽  
Stromal Fibroblasts ◽  
Physiological Relevance ◽  
Automated Microscopy ◽  
High Content Analysis ◽  
Phenotypic Responses

Phenotypic screening seeks to identify substances that modulate phenotypes in a desired manner with the aim of progressing first-in-class agents. Successful campaigns require physiological relevance, robust screening, and an ability to deconvolute perturbed pathways. High-content analysis (HCA) is increasingly used in cell biology and offers one approach to prosecution of phenotypic screens, but challenges exist in exploitation where data generated are high volume and complex. We combine development of an organotypic model with novel HCA tools to map phenotypic responses to pharmacological perturbations. We describe implementation for angiogenesis, a process that has long been a focus for therapeutic intervention but has lacked robust models that recapitulate more completely mechanisms involved. The study used human primary endothelial cells in co-culture with stromal fibroblasts to model multiple aspects of angiogenic signaling: cell interactions, proliferation, migration, and differentiation. Multiple quantitative descriptors were derived from automated microscopy using custom-designed algorithms. Data were extracted using a bespoke informatics platform that integrates processing, statistics, and feature display into a streamlined workflow for building and interrogating fingerprints. Ninety compounds were characterized, defining mode of action by phenotype. Our approach for assessing phenotypic outcomes in complex assay models is robust and capable of supporting a range of phenotypic screens at scale.

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