scholarly journals Protein-AMPylierungs-Identifikation in lebenden Zellen

BIOspektrum ◽  
2020 ◽  
Vol 26 (7) ◽  
pp. 743-746
Author(s):  
Tobias Becker ◽  
Pavel Kielkowski
Keyword(s):  
Endoplasmic Reticulum ◽  
Endoplasmic Reticulum Stress ◽  
Neural Development ◽  
Click Reaction ◽  
Living Cells ◽  
Fluorescence Labeling ◽  
Post Translational Modification ◽  
Design Synthesis ◽  
Stress Regulation

AbstractProtein AMPylation is a prevalent protein post-translational modification in human cells involved in endoplasmic reticulum stress regulation and neural development. In this article we describe the design, synthesis and application of a pronucleotide probe suitable for in situ fluorescence imaging and chemical protemics profiling of AMPylated proteins. Our probe utilizes straightforward strain-promoted azidealkyne click reaction for fluorescence labeling in living cells.

scholarly journals CellCountCV—A Web-Application for Accurate Cell Counting and Automated Batch Processing of Microscopic Images Using Fully Convolutional Neural Networks

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3653
Author(s):  
Denis Antonets ◽  
Nikolai Russkikh ◽  
Antoine Sanchez ◽  
Victoria Kovalenko ◽  
Elvira Bairamova ◽  
...  
Keyword(s):  
Neural Networks ◽  
Endoplasmic Reticulum ◽  
Endoplasmic Reticulum Stress ◽  
Web Application ◽  
Experimental Studies ◽  
Living Cells ◽  
Cell Counting ◽  
Microscopic Images ◽  
Cellular Models ◽  
Cell Counts

In vitro cellular models are promising tools for studying normal and pathological conditions. One of their important applications is the development of genetically engineered biosensor systems to investigate, in real time, the processes occurring in living cells. At present, there are fluorescence, protein-based, sensory systems for detecting various substances in living cells (for example, hydrogen peroxide, ATP, Ca2+ etc.,) or for detecting processes such as endoplasmic reticulum stress. Such systems help to study the mechanisms underlying the pathogenic processes and diseases and to screen for potential therapeutic compounds. It is also necessary to develop new tools for the processing and analysis of obtained microimages. Here, we present our web-application CellCountCV for automation of microscopic cell images analysis, which is based on fully convolutional deep neural networks. This approach can efficiently deal with non-convex overlapping objects, that are virtually inseparable with conventional image processing methods. The cell counts predicted with CellCountCV were very close to expert estimates (the average error rate was < 4%). CellCountCV was used to analyze large series of microscopic images obtained in experimental studies and it was able to demonstrate endoplasmic reticulum stress development and to catch the dose-dependent effect of tunicamycin.

scholarly journals In situ quantification of diverse titanium dioxide nanoparticles unveils selective endoplasmic reticulum stress-dependent toxicity

2017 ◽  
Vol 11 (1) ◽  
pp. 134-145 ◽  
Author(s):  
Marina Simon ◽  
Gladys Saez ◽  
Giovanna Muggiolu ◽  
Magali Lavenas ◽  
Quentin Le Trequesser ◽  
...  
Keyword(s):  
Endoplasmic Reticulum ◽  
Titanium Dioxide ◽  
Endoplasmic Reticulum Stress ◽  
Titanium Dioxide Nanoparticles ◽  
Stress Dependent

scholarly journals Bi-aryl Analogues of Salicylic Acids: Design, Synthesis and SAR Study to Ameliorate Endoplasmic Reticulum Stress

2021 ◽  
Vol Volume 15 ◽  
pp. 3593-3604
Author(s):  
Ye Eun Kim ◽  
Dong Hwan Kim ◽  
Ami Choi ◽  
Seoul Jang ◽  
Kwiwan Jeong ◽  
...  
Keyword(s):  
Endoplasmic Reticulum ◽  
Endoplasmic Reticulum Stress ◽  
Design Synthesis ◽  
Sar Study ◽  
Salicylic Acids

X-Ray fluorescence microscopy reveals that rhenium(i) tricarbonyl isonitrile complexes remain intact in vitro

2020 ◽  
Vol 56 (48) ◽  
pp. 6515-6518 ◽  
Author(s):  
Chilaluck C. Konkankit ◽  
James Lovett ◽  
Hugh H. Harris ◽  
Justin J. Wilson
Keyword(s):  
Endoplasmic Reticulum ◽  
Endoplasmic Reticulum Stress ◽  
Fluorescence Microscopy ◽  
Living Cells ◽  
Axial Ligand ◽  
X Ray

An endoplasmic reticulum stress-inducing rhenium isonitrile complex was investigated for its axial ligand stability in living cells using X-ray fluorescence microscopy.

Photo-clickable microRNA for in situ fluorescence labeling and imaging of microRNA in living cells

2017 ◽  
Vol 53 (48) ◽  
pp. 6452-6455 ◽  
Author(s):  
Lei Huang ◽  
Yingjie Chen ◽  
Lei Chen ◽  
Xiao Xiao ◽  
Xingxing Wang ◽  
...  
Keyword(s):  
Living Cells ◽  
Fluorescence Labeling ◽  
Spatiotemporal Resolution

A photo-clickable microRNA was constructed for in situ fluorescence labeling and imaging of microRNA in living cells with spatiotemporal resolution.

Effect of Pioglitazone on endoplasmic reticulum stress regarding in situ perfusion rat model

2021 ◽  
pp. 1-15
Author(s):  
Vivien Telek ◽  
Luca Erlitz ◽  
Ibitamuno Caleb ◽  
Tibor Nagy ◽  
Mónika Vecsernyés ◽  
...  
Keyword(s):  
Endoplasmic Reticulum ◽  
Endoplasmic Reticulum Stress ◽  
Western Blot ◽  
Rat Model ◽  
Ischemia Reperfusion ◽  
Effective Dosage ◽  
Control Group ◽  
Histopathological Changes ◽  
In Situ Perfusion

BACKGROUND: Ischemia-reperfusion injury (IRI) can cause insufficient microcirculation of the transplanted organ and results in a diminished and inferior graft survival rate. OBJECTIVE: This study aimed to investigate the effect of different doses of an anti-diabetic drug, Pioglitazone (Pio), on endoplasmic reticulum stress and histopathological changes, using an in situ perfusion rat model. METHODS: Sixty male Wistar rats were used and were divided into six groups, consisting of the control group, vehicle-treated group and four Pio-treated groups (10, 20, 30 and 40 mg/kg Pio was administered). The rats were perfused through vena cava and an outflow on the abdominal aorta occurred. Following the experiment, kidneys and livers were collected. The level of the endoplasmic reticulum stress markers (XBP1 and Caspase 12) was analyzed using Western blot and histopathological changes were evaluated. RESULTS: Histopathological findings were correlated with the Western blot results and depict a protective effect corresponding to the elevated dosage of Pioglitazone regarding in situ perfusion rat model. CONCLUSIONS: In our study, Pioglitazone can reduce the endoplasmic reticulum stress, and the most effective dosage proved to be the 40 mg/kg Pio referencing the kidney and liver samples.

Fluorogenic probes for mitochondria and lysosomes via intramolecular photoclick reaction

The Analyst ◽  
2021 ◽  
Author(s):  
Song Liu ◽  
Han Su ◽  
Lingli Bu ◽  
Jiangyu Yan ◽  
Guorui Li ◽  
...  
Keyword(s):  
Fluorescence Imaging ◽  
Click Reaction ◽  
Living Cells ◽  
Fluorogenic Probes

Probes based on the intramolecular tetrazole-ene photo-click reaction were developed for the in situ fluorescence imaging of mitochondria and lysosomes in living cells.

scholarly journals CellCountCV – a web-application for accurate cell counting and automated batch processing of microscopy images using fully-convolutional neural networks

2019 ◽  
Author(s):  
Denis Antonets ◽  
Nikolai Russkikh ◽  
Antoine Sanchez ◽  
Victoria Kovalenko ◽  
Elvira Bairamova ◽  
...  
Keyword(s):  
Neural Networks ◽  
Endoplasmic Reticulum ◽  
Endoplasmic Reticulum Stress ◽  
Web Application ◽  
Experimental Studies ◽  
Living Cells ◽  
Cell Counting ◽  
Cellular Models ◽  
Cell Counts ◽  
Microscopy Images

ABSTRACTThe in vitro cellular models are promising tools for studying normal and pathological conditions. One of their important applications is the development of genetically engineered biosensor systems to investigate the processes occurring in living cells in real time. Today, there are fluorescence protein based sensory systems for detecting various substances in living cells (for example, hydrogen peroxide, ATP, Ca2+ etc.) or for detecting processes such as endoplasmic reticulum stress. Such systems help to study mechanisms underlying the pathogenic processes and diseases and for screening potential therapeutic compounds. It is also necessary to develop new tools for processing and analysis of obtained microimages. Here we present our web-application CellCountCV for automation of microscopy cell images analysis which is based on fully-convolutional deep neural networks. This approach can efficiently deal with non-convex overlapping objects, that are virtually inseparable with conventional image processing methods. The cell counts predicted with CellCountCV were very close to expert estimates (the average error rate was < 4%). CellCountCV was used to analyse large series of microscopy images obtained in experimental studies and it was able to demonstrate the endoplasmic reticulum stress development and to catch the dose-dependent effect of tunicamycin.

Abstract #403: The Glutathione Mimic Ebselen Inhibits Oxidative Stress but not Endoplasmic Reticulum Stress in Endothelial Cells.

2015 ◽  
Vol 21 ◽  
pp. 85-86
Author(s):  
William Kurban ◽  
Salma Makhoul Ahwach ◽  
Melanie Thomas ◽  
Luisa Onsteed-Haas ◽  
Michael Haas
Keyword(s):  
Oxidative Stress ◽  
Endothelial Cells ◽  
Endoplasmic Reticulum ◽  
Endoplasmic Reticulum Stress
Sign in / Sign up

Export Citation Format

Share Document