Cargando…

Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data

BACKGROUND: Inherited retinal diseases (IRD) are genetically heterogeneous disorders that cause the dysfunction or loss of photoreceptor cells and ultimately lead to blindness. To date, next-generation sequencing procedures fail to detect pathogenic sequence variants in coding regions of known IRD d...

Descripción completa

Detalles Bibliográficos
Autores principales: Ruiz-Ceja, Karla Alejandra, Capasso, Dalila, Pinelli, Michele, Del Prete, Eugenio, Carrella, Diego, di Bernardo, Diego, Banfi, Sandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111803/
https://www.ncbi.nlm.nih.gov/pubmed/37072692
http://dx.doi.org/10.1186/s12864-023-09300-w
_version_ 1785027521329233920
author Ruiz-Ceja, Karla Alejandra
Capasso, Dalila
Pinelli, Michele
Del Prete, Eugenio
Carrella, Diego
di Bernardo, Diego
Banfi, Sandro
author_facet Ruiz-Ceja, Karla Alejandra
Capasso, Dalila
Pinelli, Michele
Del Prete, Eugenio
Carrella, Diego
di Bernardo, Diego
Banfi, Sandro
author_sort Ruiz-Ceja, Karla Alejandra
collection PubMed
description BACKGROUND: Inherited retinal diseases (IRD) are genetically heterogeneous disorders that cause the dysfunction or loss of photoreceptor cells and ultimately lead to blindness. To date, next-generation sequencing procedures fail to detect pathogenic sequence variants in coding regions of known IRD disease genes in about 30–40% of patients. One of the possible explanations for this missing heritability is the presence of yet unidentified transcripts of known IRD genes. Here, we aimed to define the transcript composition of IRD genes in the human retina by a meta-analysis of publicly available RNA-seq datasets using an ad-hoc designed pipeline. RESULTS: We analysed 218 IRD genes and identified 5,054 transcripts, 3,367 of which were not previously reported. We assessed their putative expression levels and focused our attention on 435 transcripts predicted to account for at least 5% of the expression of the corresponding gene. We looked at the possible impact of the newly identified transcripts at the protein level and experimentally validated a subset of them. CONCLUSIONS: This study provides an unprecedented, detailed overview of the complexity of the human retinal transcriptome that can be instrumental in contributing to the resolution of some cases of missing heritability in IRD patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09300-w.
format Online
Article
Text
id pubmed-10111803
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-101118032023-04-19 Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data Ruiz-Ceja, Karla Alejandra Capasso, Dalila Pinelli, Michele Del Prete, Eugenio Carrella, Diego di Bernardo, Diego Banfi, Sandro BMC Genomics Research BACKGROUND: Inherited retinal diseases (IRD) are genetically heterogeneous disorders that cause the dysfunction or loss of photoreceptor cells and ultimately lead to blindness. To date, next-generation sequencing procedures fail to detect pathogenic sequence variants in coding regions of known IRD disease genes in about 30–40% of patients. One of the possible explanations for this missing heritability is the presence of yet unidentified transcripts of known IRD genes. Here, we aimed to define the transcript composition of IRD genes in the human retina by a meta-analysis of publicly available RNA-seq datasets using an ad-hoc designed pipeline. RESULTS: We analysed 218 IRD genes and identified 5,054 transcripts, 3,367 of which were not previously reported. We assessed their putative expression levels and focused our attention on 435 transcripts predicted to account for at least 5% of the expression of the corresponding gene. We looked at the possible impact of the newly identified transcripts at the protein level and experimentally validated a subset of them. CONCLUSIONS: This study provides an unprecedented, detailed overview of the complexity of the human retinal transcriptome that can be instrumental in contributing to the resolution of some cases of missing heritability in IRD patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09300-w. BioMed Central 2023-04-18 /pmc/articles/PMC10111803/ /pubmed/37072692 http://dx.doi.org/10.1186/s12864-023-09300-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ruiz-Ceja, Karla Alejandra
Capasso, Dalila
Pinelli, Michele
Del Prete, Eugenio
Carrella, Diego
di Bernardo, Diego
Banfi, Sandro
Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data
title Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data
title_full Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data
title_fullStr Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data
title_full_unstemmed Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data
title_short Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data
title_sort definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111803/
https://www.ncbi.nlm.nih.gov/pubmed/37072692
http://dx.doi.org/10.1186/s12864-023-09300-w
work_keys_str_mv AT ruizcejakarlaalejandra definitionofthetranscriptionalunitsofinheritedretinaldiseasegenesbymetaanalysisofhumanretinaltranscriptomedata
AT capassodalila definitionofthetranscriptionalunitsofinheritedretinaldiseasegenesbymetaanalysisofhumanretinaltranscriptomedata
AT pinellimichele definitionofthetranscriptionalunitsofinheritedretinaldiseasegenesbymetaanalysisofhumanretinaltranscriptomedata
AT delpreteeugenio definitionofthetranscriptionalunitsofinheritedretinaldiseasegenesbymetaanalysisofhumanretinaltranscriptomedata
AT carrelladiego definitionofthetranscriptionalunitsofinheritedretinaldiseasegenesbymetaanalysisofhumanretinaltranscriptomedata
AT dibernardodiego definitionofthetranscriptionalunitsofinheritedretinaldiseasegenesbymetaanalysisofhumanretinaltranscriptomedata
AT banfisandro definitionofthetranscriptionalunitsofinheritedretinaldiseasegenesbymetaanalysisofhumanretinaltranscriptomedata