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Monitoring Cell-Type–Specific Gene Expression Using Ribosome Profiling In Vivo During Cardiac Hemodynamic Stress

RATIONALE: Gene expression profiles have been mainly determined by analysis of transcript abundance. However, these analyses cannot capture posttranscriptional gene expression control at the level of translation, which is a key step in the regulation of gene expression, as evidenced by the fact that...

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Autores principales: Doroudgar, Shirin, Hofmann, Christoph, Boileau, Etienne, Malone, Brandon, Riechert, Eva, Gorska, Agnieszka A., Jakobi, Tobias, Sandmann, Clara, Jürgensen, Lonny, Kmietczyk, Vivien, Malovrh, Ellen, Burghaus, Jana, Rettel, Mandy, Stein, Frank, Younesi, Fereshteh, Friedrich, Ulrike A., Mauz, Victoria, Backs, Johannes, Kramer, Günter, Katus, Hugo A., Dieterich, Christoph, Völkers, Mirko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690133/
https://www.ncbi.nlm.nih.gov/pubmed/31284834
http://dx.doi.org/10.1161/CIRCRESAHA.119.314817
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author Doroudgar, Shirin
Hofmann, Christoph
Boileau, Etienne
Malone, Brandon
Riechert, Eva
Gorska, Agnieszka A.
Jakobi, Tobias
Sandmann, Clara
Jürgensen, Lonny
Kmietczyk, Vivien
Malovrh, Ellen
Burghaus, Jana
Rettel, Mandy
Stein, Frank
Younesi, Fereshteh
Friedrich, Ulrike A.
Mauz, Victoria
Backs, Johannes
Kramer, Günter
Katus, Hugo A.
Dieterich, Christoph
Völkers, Mirko
author_facet Doroudgar, Shirin
Hofmann, Christoph
Boileau, Etienne
Malone, Brandon
Riechert, Eva
Gorska, Agnieszka A.
Jakobi, Tobias
Sandmann, Clara
Jürgensen, Lonny
Kmietczyk, Vivien
Malovrh, Ellen
Burghaus, Jana
Rettel, Mandy
Stein, Frank
Younesi, Fereshteh
Friedrich, Ulrike A.
Mauz, Victoria
Backs, Johannes
Kramer, Günter
Katus, Hugo A.
Dieterich, Christoph
Völkers, Mirko
author_sort Doroudgar, Shirin
collection PubMed
description RATIONALE: Gene expression profiles have been mainly determined by analysis of transcript abundance. However, these analyses cannot capture posttranscriptional gene expression control at the level of translation, which is a key step in the regulation of gene expression, as evidenced by the fact that transcript levels often poorly correlate with protein levels. Furthermore, genome-wide transcript profiling of distinct cell types is challenging due to the fact that lysates from tissues always represent a mixture of cells. OBJECTIVES: This study aimed to develop a new experimental method that overcomes both limitations and to apply this method to perform a genome-wide analysis of gene expression on the translational level in response to pressure overload. METHODS AND RESULTS: By combining ribosome profiling (Ribo-seq) with a ribosome-tagging approach (Ribo-tag), it was possible to determine the translated transcriptome in specific cell types from the heart. After pressure overload, we monitored the cardiac myocyte translatome by purifying tagged cardiac myocyte ribosomes from cardiac lysates and subjecting the ribosome-protected mRNA fragments to deep sequencing. We identified subsets of mRNAs that are regulated at the translational level and found that translational control determines early changes in gene expression in response to cardiac stress in cardiac myocytes. Translationally controlled transcripts are associated with specific biological processes related to translation, protein quality control, and metabolism. Mechanistically, Ribo-seq allowed for the identification of upstream open reading frames in transcripts, which we predict to be important regulators of translation. CONCLUSIONS: This method has the potential to (1) provide a new tool for studying cell-specific gene expression at the level of translation in tissues, (2) reveal new therapeutic targets to prevent cellular remodeling, and (3) trigger follow-up studies that address both, the molecular mechanisms involved in the posttranscriptional control of gene expression in cardiac cells, and the protective functions of proteins expressed in response to cellular stress.
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spelling pubmed-66901332019-09-16 Monitoring Cell-Type–Specific Gene Expression Using Ribosome Profiling In Vivo During Cardiac Hemodynamic Stress Doroudgar, Shirin Hofmann, Christoph Boileau, Etienne Malone, Brandon Riechert, Eva Gorska, Agnieszka A. Jakobi, Tobias Sandmann, Clara Jürgensen, Lonny Kmietczyk, Vivien Malovrh, Ellen Burghaus, Jana Rettel, Mandy Stein, Frank Younesi, Fereshteh Friedrich, Ulrike A. Mauz, Victoria Backs, Johannes Kramer, Günter Katus, Hugo A. Dieterich, Christoph Völkers, Mirko Circ Res Original Research RATIONALE: Gene expression profiles have been mainly determined by analysis of transcript abundance. However, these analyses cannot capture posttranscriptional gene expression control at the level of translation, which is a key step in the regulation of gene expression, as evidenced by the fact that transcript levels often poorly correlate with protein levels. Furthermore, genome-wide transcript profiling of distinct cell types is challenging due to the fact that lysates from tissues always represent a mixture of cells. OBJECTIVES: This study aimed to develop a new experimental method that overcomes both limitations and to apply this method to perform a genome-wide analysis of gene expression on the translational level in response to pressure overload. METHODS AND RESULTS: By combining ribosome profiling (Ribo-seq) with a ribosome-tagging approach (Ribo-tag), it was possible to determine the translated transcriptome in specific cell types from the heart. After pressure overload, we monitored the cardiac myocyte translatome by purifying tagged cardiac myocyte ribosomes from cardiac lysates and subjecting the ribosome-protected mRNA fragments to deep sequencing. We identified subsets of mRNAs that are regulated at the translational level and found that translational control determines early changes in gene expression in response to cardiac stress in cardiac myocytes. Translationally controlled transcripts are associated with specific biological processes related to translation, protein quality control, and metabolism. Mechanistically, Ribo-seq allowed for the identification of upstream open reading frames in transcripts, which we predict to be important regulators of translation. CONCLUSIONS: This method has the potential to (1) provide a new tool for studying cell-specific gene expression at the level of translation in tissues, (2) reveal new therapeutic targets to prevent cellular remodeling, and (3) trigger follow-up studies that address both, the molecular mechanisms involved in the posttranscriptional control of gene expression in cardiac cells, and the protective functions of proteins expressed in response to cellular stress. Lippincott Williams & Wilkins 2019-08-02 2019-07-09 /pmc/articles/PMC6690133/ /pubmed/31284834 http://dx.doi.org/10.1161/CIRCRESAHA.119.314817 Text en © 2019 The Authors. Circulation Research is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution Non-Commercial-NoDerivs (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited, the use is noncommercial, and no modifications or adaptations are made.
spellingShingle Original Research
Doroudgar, Shirin
Hofmann, Christoph
Boileau, Etienne
Malone, Brandon
Riechert, Eva
Gorska, Agnieszka A.
Jakobi, Tobias
Sandmann, Clara
Jürgensen, Lonny
Kmietczyk, Vivien
Malovrh, Ellen
Burghaus, Jana
Rettel, Mandy
Stein, Frank
Younesi, Fereshteh
Friedrich, Ulrike A.
Mauz, Victoria
Backs, Johannes
Kramer, Günter
Katus, Hugo A.
Dieterich, Christoph
Völkers, Mirko
Monitoring Cell-Type–Specific Gene Expression Using Ribosome Profiling In Vivo During Cardiac Hemodynamic Stress
title Monitoring Cell-Type–Specific Gene Expression Using Ribosome Profiling In Vivo During Cardiac Hemodynamic Stress
title_full Monitoring Cell-Type–Specific Gene Expression Using Ribosome Profiling In Vivo During Cardiac Hemodynamic Stress
title_fullStr Monitoring Cell-Type–Specific Gene Expression Using Ribosome Profiling In Vivo During Cardiac Hemodynamic Stress
title_full_unstemmed Monitoring Cell-Type–Specific Gene Expression Using Ribosome Profiling In Vivo During Cardiac Hemodynamic Stress
title_short Monitoring Cell-Type–Specific Gene Expression Using Ribosome Profiling In Vivo During Cardiac Hemodynamic Stress
title_sort monitoring cell-type–specific gene expression using ribosome profiling in vivo during cardiac hemodynamic stress
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690133/
https://www.ncbi.nlm.nih.gov/pubmed/31284834
http://dx.doi.org/10.1161/CIRCRESAHA.119.314817
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