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The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome
BACKGROUND: For the anucleate platelet it has been unclear how well platelet transcriptomes correlate among different donors or across different RNA profiling platforms, and what the transcriptomes’ relationship is with the platelet proteome. We profiled the platelet transcriptome of 10 healthy youn...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3937023/ https://www.ncbi.nlm.nih.gov/pubmed/24524654 http://dx.doi.org/10.1186/1745-6150-9-3 |
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author | Londin, Eric R Hatzimichael, Eleftheria Loher, Phillipe Edelstein, Leonard Shaw, Chad Delgrosso, Kathleen Fortina, Paolo Bray, Paul F McKenzie, Steven E Rigoutsos, Isidore |
author_facet | Londin, Eric R Hatzimichael, Eleftheria Loher, Phillipe Edelstein, Leonard Shaw, Chad Delgrosso, Kathleen Fortina, Paolo Bray, Paul F McKenzie, Steven E Rigoutsos, Isidore |
author_sort | Londin, Eric R |
collection | PubMed |
description | BACKGROUND: For the anucleate platelet it has been unclear how well platelet transcriptomes correlate among different donors or across different RNA profiling platforms, and what the transcriptomes’ relationship is with the platelet proteome. We profiled the platelet transcriptome of 10 healthy young males (5 white and 5 black) with no notable clinical history using RNA sequencing and by Affymetrix microarray. RESULTS: We found that the abundance of platelet mRNA transcripts was highly correlated across the 10 individuals, independently of race and of the employed technology. Our RNA-seq data showed that these high inter-individual correlations extend beyond mRNAs to several categories of non-coding RNAs. Pseudogenes represented a notable exception by exhibiting a difference in expression by race. Comparison of our mRNA signatures to a publicly available quantitative platelet proteome showed that most (87.5%) identified platelet proteins had a detectable corresponding mRNA. However, a high number of mRNAs that were present in the transcriptomes of all 10 individuals had no representation in the proteome. Spearman correlations of the relative abundances for those genes represented by both an mRNA and a protein showed a weak (~0.3) connection. Further analysis of the overlapping and non-overlapping platelet mRNAs and proteins identified gene groups corresponding to distinct cellular processes. CONCLUSIONS: The results of our analyses provide novel insights for platelet biology, show only a weak connection between the platelet transcriptome and proteome, and indicate that it is feasible to assemble a platelet mRNA-ome that can serve as a reference for future platelet transcriptomic studies of human health and disease. REVIEWED BY: This article was reviewed by Dr Mikhail Dozmorov (nominated by Dr Yuri Gusev), Dr Neil Smalheiser and Dr Eugene Koonin. |
format | Online Article Text |
id | pubmed-3937023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39370232014-02-28 The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome Londin, Eric R Hatzimichael, Eleftheria Loher, Phillipe Edelstein, Leonard Shaw, Chad Delgrosso, Kathleen Fortina, Paolo Bray, Paul F McKenzie, Steven E Rigoutsos, Isidore Biol Direct Research BACKGROUND: For the anucleate platelet it has been unclear how well platelet transcriptomes correlate among different donors or across different RNA profiling platforms, and what the transcriptomes’ relationship is with the platelet proteome. We profiled the platelet transcriptome of 10 healthy young males (5 white and 5 black) with no notable clinical history using RNA sequencing and by Affymetrix microarray. RESULTS: We found that the abundance of platelet mRNA transcripts was highly correlated across the 10 individuals, independently of race and of the employed technology. Our RNA-seq data showed that these high inter-individual correlations extend beyond mRNAs to several categories of non-coding RNAs. Pseudogenes represented a notable exception by exhibiting a difference in expression by race. Comparison of our mRNA signatures to a publicly available quantitative platelet proteome showed that most (87.5%) identified platelet proteins had a detectable corresponding mRNA. However, a high number of mRNAs that were present in the transcriptomes of all 10 individuals had no representation in the proteome. Spearman correlations of the relative abundances for those genes represented by both an mRNA and a protein showed a weak (~0.3) connection. Further analysis of the overlapping and non-overlapping platelet mRNAs and proteins identified gene groups corresponding to distinct cellular processes. CONCLUSIONS: The results of our analyses provide novel insights for platelet biology, show only a weak connection between the platelet transcriptome and proteome, and indicate that it is feasible to assemble a platelet mRNA-ome that can serve as a reference for future platelet transcriptomic studies of human health and disease. REVIEWED BY: This article was reviewed by Dr Mikhail Dozmorov (nominated by Dr Yuri Gusev), Dr Neil Smalheiser and Dr Eugene Koonin. BioMed Central 2014-02-14 /pmc/articles/PMC3937023/ /pubmed/24524654 http://dx.doi.org/10.1186/1745-6150-9-3 Text en Copyright © 2014 Londin et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Londin, Eric R Hatzimichael, Eleftheria Loher, Phillipe Edelstein, Leonard Shaw, Chad Delgrosso, Kathleen Fortina, Paolo Bray, Paul F McKenzie, Steven E Rigoutsos, Isidore The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome |
title | The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome |
title_full | The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome |
title_fullStr | The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome |
title_full_unstemmed | The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome |
title_short | The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome |
title_sort | human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3937023/ https://www.ncbi.nlm.nih.gov/pubmed/24524654 http://dx.doi.org/10.1186/1745-6150-9-3 |
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