Cargando…
Genome-wide Computational Analysis Reveals Cardiomyocyte-specific Transcriptional Cis-regulatory Motifs That Enable Efficient Cardiac Gene Therapy
Gene therapy is a promising emerging therapeutic modality for the treatment of cardiovascular diseases and hereditary diseases that afflict the heart. Hence, there is a need to develop robust cardiac-specific expression modules that allow for stable expression of the gene of interest in cardiomyocyt...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426801/ https://www.ncbi.nlm.nih.gov/pubmed/25195597 http://dx.doi.org/10.1038/mt.2014.178 |
_version_ | 1782370639607234560 |
---|---|
author | Rincon, Melvin Y Sarcar, Shilpita Danso-Abeam, Dina Keyaerts, Marleen Matrai, Janka Samara-Kuko, Ermira Acosta-Sanchez, Abel Athanasopoulos, Takis Dickson, George Lahoutte, Tony De Bleser, Pieter VandenDriessche, Thierry Chuah, Marinee K |
author_facet | Rincon, Melvin Y Sarcar, Shilpita Danso-Abeam, Dina Keyaerts, Marleen Matrai, Janka Samara-Kuko, Ermira Acosta-Sanchez, Abel Athanasopoulos, Takis Dickson, George Lahoutte, Tony De Bleser, Pieter VandenDriessche, Thierry Chuah, Marinee K |
author_sort | Rincon, Melvin Y |
collection | PubMed |
description | Gene therapy is a promising emerging therapeutic modality for the treatment of cardiovascular diseases and hereditary diseases that afflict the heart. Hence, there is a need to develop robust cardiac-specific expression modules that allow for stable expression of the gene of interest in cardiomyocytes. We therefore explored a new approach based on a genome-wide bioinformatics strategy that revealed novel cardiac-specific cis-acting regulatory modules (CS-CRMs). These transcriptional modules contained evolutionary-conserved clusters of putative transcription factor binding sites that correspond to a “molecular signature” associated with robust gene expression in the heart. We then validated these CS-CRMs in vivo using an adeno-associated viral vector serotype 9 that drives a reporter gene from a quintessential cardiac-specific α-myosin heavy chain promoter. Most de novo designed CS-CRMs resulted in a >10-fold increase in cardiac gene expression. The most robust CRMs enhanced cardiac-specific transcription 70- to 100-fold. Expression was sustained and restricted to cardiomyocytes. We then combined the most potent CS-CRM4 with a synthetic heart and muscle-specific promoter (SPc5-12) and obtained a significant 20-fold increase in cardiac gene expression compared to the cytomegalovirus promoter. This study underscores the potential of rational vector design to improve the robustness of cardiac gene therapy. |
format | Online Article Text |
id | pubmed-4426801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44268012015-05-21 Genome-wide Computational Analysis Reveals Cardiomyocyte-specific Transcriptional Cis-regulatory Motifs That Enable Efficient Cardiac Gene Therapy Rincon, Melvin Y Sarcar, Shilpita Danso-Abeam, Dina Keyaerts, Marleen Matrai, Janka Samara-Kuko, Ermira Acosta-Sanchez, Abel Athanasopoulos, Takis Dickson, George Lahoutte, Tony De Bleser, Pieter VandenDriessche, Thierry Chuah, Marinee K Mol Ther Original Article Gene therapy is a promising emerging therapeutic modality for the treatment of cardiovascular diseases and hereditary diseases that afflict the heart. Hence, there is a need to develop robust cardiac-specific expression modules that allow for stable expression of the gene of interest in cardiomyocytes. We therefore explored a new approach based on a genome-wide bioinformatics strategy that revealed novel cardiac-specific cis-acting regulatory modules (CS-CRMs). These transcriptional modules contained evolutionary-conserved clusters of putative transcription factor binding sites that correspond to a “molecular signature” associated with robust gene expression in the heart. We then validated these CS-CRMs in vivo using an adeno-associated viral vector serotype 9 that drives a reporter gene from a quintessential cardiac-specific α-myosin heavy chain promoter. Most de novo designed CS-CRMs resulted in a >10-fold increase in cardiac gene expression. The most robust CRMs enhanced cardiac-specific transcription 70- to 100-fold. Expression was sustained and restricted to cardiomyocytes. We then combined the most potent CS-CRM4 with a synthetic heart and muscle-specific promoter (SPc5-12) and obtained a significant 20-fold increase in cardiac gene expression compared to the cytomegalovirus promoter. This study underscores the potential of rational vector design to improve the robustness of cardiac gene therapy. Nature Publishing Group 2015-01 2014-10-07 /pmc/articles/PMC4426801/ /pubmed/25195597 http://dx.doi.org/10.1038/mt.2014.178 Text en Copyright © 2015 American Society of Gene & Cell Therapy http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article Rincon, Melvin Y Sarcar, Shilpita Danso-Abeam, Dina Keyaerts, Marleen Matrai, Janka Samara-Kuko, Ermira Acosta-Sanchez, Abel Athanasopoulos, Takis Dickson, George Lahoutte, Tony De Bleser, Pieter VandenDriessche, Thierry Chuah, Marinee K Genome-wide Computational Analysis Reveals Cardiomyocyte-specific Transcriptional Cis-regulatory Motifs That Enable Efficient Cardiac Gene Therapy |
title | Genome-wide Computational Analysis Reveals Cardiomyocyte-specific Transcriptional Cis-regulatory Motifs That Enable Efficient Cardiac Gene Therapy |
title_full | Genome-wide Computational Analysis Reveals Cardiomyocyte-specific Transcriptional Cis-regulatory Motifs That Enable Efficient Cardiac Gene Therapy |
title_fullStr | Genome-wide Computational Analysis Reveals Cardiomyocyte-specific Transcriptional Cis-regulatory Motifs That Enable Efficient Cardiac Gene Therapy |
title_full_unstemmed | Genome-wide Computational Analysis Reveals Cardiomyocyte-specific Transcriptional Cis-regulatory Motifs That Enable Efficient Cardiac Gene Therapy |
title_short | Genome-wide Computational Analysis Reveals Cardiomyocyte-specific Transcriptional Cis-regulatory Motifs That Enable Efficient Cardiac Gene Therapy |
title_sort | genome-wide computational analysis reveals cardiomyocyte-specific transcriptional cis-regulatory motifs that enable efficient cardiac gene therapy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426801/ https://www.ncbi.nlm.nih.gov/pubmed/25195597 http://dx.doi.org/10.1038/mt.2014.178 |
work_keys_str_mv | AT rinconmelviny genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT sarcarshilpita genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT dansoabeamdina genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT keyaertsmarleen genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT matraijanka genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT samarakukoermira genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT acostasanchezabel genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT athanasopoulostakis genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT dicksongeorge genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT lahouttetony genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT debleserpieter genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT vandendriesschethierry genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy AT chuahmarineek genomewidecomputationalanalysisrevealscardiomyocytespecifictranscriptionalcisregulatorymotifsthatenableefficientcardiacgenetherapy |