TY - JOUR
T1 - Monitoring cell-Type-specific gene expression using ribosome profiling in vivo during cardiac hemodynamic stress
AU - Doroudgar, Shirin
AU - Hofmann, Christoph
AU - Boileau, Etienne
AU - Malone, Brandon
AU - Riechert, Eva
AU - Gorska, Agnieszka A.
AU - Jakobi, Tobias
AU - Sandmann, Clara
AU - Jürgensen, Lonny
AU - Kmietczyk, Vivien
AU - Malovrh, Ellen
AU - Burghaus, Jana
AU - Rettel, Mandy
AU - Stein, Frank
AU - Younesi, Fereshteh
AU - Friedrich, Ulrike A.
AU - Mauz, Victoria
AU - Backs, Johannes
AU - Kramer, Günter
AU - Katus, Hugo A.
AU - Dieterich, Christoph
AU - Völkers, Mirko
N1 - Publisher Copyright:
© 2019 American Heart Association, Inc.
PY - 2019/8/2
Y1 - 2019/8/2
N2 - 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.
AB - 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.
KW - gene expression
KW - hypertrophy left ventricular
KW - metabolism
KW - protein biosynthesis
KW - protein folding
KW - proteostasis
KW - ribosomes
UR - http://www.scopus.com/inward/record.url?scp=85071054396&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071054396&partnerID=8YFLogxK
U2 - 10.1161/CIRCRESAHA.119.314817
DO - 10.1161/CIRCRESAHA.119.314817
M3 - Article
C2 - 31284834
AN - SCOPUS:85071054396
SN - 0009-7330
VL - 125
SP - 431
EP - 448
JO - Circulation research
JF - Circulation research
IS - 4
ER -