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Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases

RNA-seq has been widely used as a high-throughput method to characterize transcript dynamic changes in a broad context, such as development and diseases. However, whether RNA-seq-estimated transcriptional dynamics can be translated into protein level changes is largely unknown. Ribo-seq (Ribosome pr...

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Autores principales: Bagheri, Atefeh, Astafev, Artem, Al-Hashimy, Tara, Jiang, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562884/
https://www.ncbi.nlm.nih.gov/pubmed/36230928
http://dx.doi.org/10.3390/cells11192966
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author Bagheri, Atefeh
Astafev, Artem
Al-Hashimy, Tara
Jiang, Peng
author_facet Bagheri, Atefeh
Astafev, Artem
Al-Hashimy, Tara
Jiang, Peng
author_sort Bagheri, Atefeh
collection PubMed
description RNA-seq has been widely used as a high-throughput method to characterize transcript dynamic changes in a broad context, such as development and diseases. However, whether RNA-seq-estimated transcriptional dynamics can be translated into protein level changes is largely unknown. Ribo-seq (Ribosome profiling) is an emerging technology that allows for the investigation of the translational footprint via profiling ribosome-bounded mRNA fragments. Ribo-seq coupled with RNA-seq will allow us to understand the transcriptional and translational control of the fundamental biological process and human diseases. This review focuses on discussing the principle, workflow, and applications of Ribo-seq to study human diseases.
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spelling pubmed-95628842022-10-15 Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases Bagheri, Atefeh Astafev, Artem Al-Hashimy, Tara Jiang, Peng Cells Commentary RNA-seq has been widely used as a high-throughput method to characterize transcript dynamic changes in a broad context, such as development and diseases. However, whether RNA-seq-estimated transcriptional dynamics can be translated into protein level changes is largely unknown. Ribo-seq (Ribosome profiling) is an emerging technology that allows for the investigation of the translational footprint via profiling ribosome-bounded mRNA fragments. Ribo-seq coupled with RNA-seq will allow us to understand the transcriptional and translational control of the fundamental biological process and human diseases. This review focuses on discussing the principle, workflow, and applications of Ribo-seq to study human diseases. MDPI 2022-09-23 /pmc/articles/PMC9562884/ /pubmed/36230928 http://dx.doi.org/10.3390/cells11192966 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Commentary
Bagheri, Atefeh
Astafev, Artem
Al-Hashimy, Tara
Jiang, Peng
Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases
title Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases
title_full Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases
title_fullStr Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases
title_full_unstemmed Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases
title_short Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases
title_sort tracing translational footprint by ribo-seq: principle, workflow, and applications to understand the mechanism of human diseases
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562884/
https://www.ncbi.nlm.nih.gov/pubmed/36230928
http://dx.doi.org/10.3390/cells11192966
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