Genetically Encoded Tools for Research of Cell Signaling and Metabolism under Brain Hypoxia
Hypoxia is characterized by low oxygen content in the tissues. The central nervous system (CNS) is highly vulnerable to a lack of oxygen. Prolonged hypoxia leads to the death of brain cells, which underlies the development of many pathological conditions. Despite the relevance of the topic, differen...
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MDPI AG
2020-06-01
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Series: | Antioxidants |
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Online Access: | https://www.mdpi.com/2076-3921/9/6/516 |
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author | Alexander I. Kostyuk Aleksandra D. Kokova Oleg V. Podgorny Ilya V. Kelmanson Elena S. Fetisova Vsevolod V. Belousov Dmitry S. Bilan |
author_facet | Alexander I. Kostyuk Aleksandra D. Kokova Oleg V. Podgorny Ilya V. Kelmanson Elena S. Fetisova Vsevolod V. Belousov Dmitry S. Bilan |
author_sort | Alexander I. Kostyuk |
collection | DOAJ |
description | Hypoxia is characterized by low oxygen content in the tissues. The central nervous system (CNS) is highly vulnerable to a lack of oxygen. Prolonged hypoxia leads to the death of brain cells, which underlies the development of many pathological conditions. Despite the relevance of the topic, different approaches used to study the molecular mechanisms of hypoxia have many limitations. One promising lead is the use of various genetically encoded tools that allow for the observation of intracellular parameters in living systems. In the first part of this review, we provide the classification of oxygen/hypoxia reporters as well as describe other genetically encoded reporters for various metabolic and redox parameters that could be implemented in hypoxia studies. In the second part, we discuss the advantages and disadvantages of the primary hypoxia model systems and highlight inspiring examples of research in which these experimental settings were combined with genetically encoded reporters. |
first_indexed | 2024-03-10T19:14:23Z |
format | Article |
id | doaj.art-c3f3cfd8df7741bb9dec849aa2d8cefc |
institution | Directory Open Access Journal |
issn | 2076-3921 |
language | English |
last_indexed | 2024-03-10T19:14:23Z |
publishDate | 2020-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Antioxidants |
spelling | doaj.art-c3f3cfd8df7741bb9dec849aa2d8cefc2023-11-20T03:32:54ZengMDPI AGAntioxidants2076-39212020-06-019651610.3390/antiox9060516Genetically Encoded Tools for Research of Cell Signaling and Metabolism under Brain HypoxiaAlexander I. Kostyuk0Aleksandra D. Kokova1Oleg V. Podgorny2Ilya V. Kelmanson3Elena S. Fetisova4Vsevolod V. Belousov5Dmitry S. Bilan6Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117997 Moscow, RussiaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117997 Moscow, RussiaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117997 Moscow, RussiaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117997 Moscow, RussiaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117997 Moscow, RussiaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117997 Moscow, RussiaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 117997 Moscow, RussiaHypoxia is characterized by low oxygen content in the tissues. The central nervous system (CNS) is highly vulnerable to a lack of oxygen. Prolonged hypoxia leads to the death of brain cells, which underlies the development of many pathological conditions. Despite the relevance of the topic, different approaches used to study the molecular mechanisms of hypoxia have many limitations. One promising lead is the use of various genetically encoded tools that allow for the observation of intracellular parameters in living systems. In the first part of this review, we provide the classification of oxygen/hypoxia reporters as well as describe other genetically encoded reporters for various metabolic and redox parameters that could be implemented in hypoxia studies. In the second part, we discuss the advantages and disadvantages of the primary hypoxia model systems and highlight inspiring examples of research in which these experimental settings were combined with genetically encoded reporters.https://www.mdpi.com/2076-3921/9/6/516oxygenhypoxiahypoxia-inducible factor (HIF)genetically encoded biosensorsfluorescent proteinsluciferase |
spellingShingle | Alexander I. Kostyuk Aleksandra D. Kokova Oleg V. Podgorny Ilya V. Kelmanson Elena S. Fetisova Vsevolod V. Belousov Dmitry S. Bilan Genetically Encoded Tools for Research of Cell Signaling and Metabolism under Brain Hypoxia Antioxidants oxygen hypoxia hypoxia-inducible factor (HIF) genetically encoded biosensors fluorescent proteins luciferase |
title | Genetically Encoded Tools for Research of Cell Signaling and Metabolism under Brain Hypoxia |
title_full | Genetically Encoded Tools for Research of Cell Signaling and Metabolism under Brain Hypoxia |
title_fullStr | Genetically Encoded Tools for Research of Cell Signaling and Metabolism under Brain Hypoxia |
title_full_unstemmed | Genetically Encoded Tools for Research of Cell Signaling and Metabolism under Brain Hypoxia |
title_short | Genetically Encoded Tools for Research of Cell Signaling and Metabolism under Brain Hypoxia |
title_sort | genetically encoded tools for research of cell signaling and metabolism under brain hypoxia |
topic | oxygen hypoxia hypoxia-inducible factor (HIF) genetically encoded biosensors fluorescent proteins luciferase |
url | https://www.mdpi.com/2076-3921/9/6/516 |
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