Transcriptomic landscape of blood platelets in healthy donors

Abstract Blood platelet RNA-sequencing is increasingly used among the scientific community. Aberrant platelet transcriptome is common in cancer or cardiovascular disease, but reference data on platelet RNA content in healthy individuals are scarce and merit complex investigation. We sought to explor...

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Autores principales: Anna Supernat, Marta Popęda, Krzysztof Pastuszak, Myron G. Best, Peter Grešner, Sjors In ’t Veld, Bartłomiej Siek, Natalia Bednarz-Knoll, Matthew T. Rondina, Tomasz Stokowy, Thomas Wurdinger, Jacek Jassem, Anna J. Żaczek
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:4fd18847df6c4fb09343afbf7e38a8f52021-12-02T17:06:09ZTranscriptomic landscape of blood platelets in healthy donors10.1038/s41598-021-94003-z2045-2322https://doaj.org/article/4fd18847df6c4fb09343afbf7e38a8f52021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94003-zhttps://doaj.org/toc/2045-2322Abstract Blood platelet RNA-sequencing is increasingly used among the scientific community. Aberrant platelet transcriptome is common in cancer or cardiovascular disease, but reference data on platelet RNA content in healthy individuals are scarce and merit complex investigation. We sought to explore the dynamics of platelet transcriptome. Datasets from 204 healthy donors were used for the analysis of splice variants, particularly with regard to age, sex, blood storage time, unit of collection or library size. Genes B2M, PPBP, TMSB4X, ACTB, FTL, CLU, PF4, F13A1, GNAS, SPARC, PTMA, TAGLN2, OAZ1 and OST4 demonstrated the highest expression in the analysed cohort, remaining substantial transcription consistency. CSF3R gene was found upregulated in males (fold change 2.10, FDR q < 0.05). Cohort dichotomisation according to the median age, showed upregulated KSR1 in the older donors (fold change 2.11, FDR q < 0.05). Unsupervised hierarchical clustering revealed two clusters which were irrespective of age, sex, storage time, collecting unit or library size. However, when donors are analysed globally (as vectors), sex, storage time, library size, the unit of blood collection as well as age impose a certain degree of between- and/or within-group variability. Healthy donor platelet transcriptome retains general consistency, with very few splice variants deviating from the landscape. Although multidimensional analysis reveals statistically significant variability between and within the analysed groups, biologically, these changes are minor and irrelevant while considering disease classification. Our work provides a reference for studies working both on healthy platelets and pathological conditions affecting platelet transcriptome.Anna SupernatMarta PopędaKrzysztof PastuszakMyron G. BestPeter GrešnerSjors In ’t VeldBartłomiej SiekNatalia Bednarz-KnollMatthew T. RondinaTomasz StokowyThomas WurdingerJacek JassemAnna J. ŻaczekNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Anna Supernat
Marta Popęda
Krzysztof Pastuszak
Myron G. Best
Peter Grešner
Sjors In ’t Veld
Bartłomiej Siek
Natalia Bednarz-Knoll
Matthew T. Rondina
Tomasz Stokowy
Thomas Wurdinger
Jacek Jassem
Anna J. Żaczek
Transcriptomic landscape of blood platelets in healthy donors
description Abstract Blood platelet RNA-sequencing is increasingly used among the scientific community. Aberrant platelet transcriptome is common in cancer or cardiovascular disease, but reference data on platelet RNA content in healthy individuals are scarce and merit complex investigation. We sought to explore the dynamics of platelet transcriptome. Datasets from 204 healthy donors were used for the analysis of splice variants, particularly with regard to age, sex, blood storage time, unit of collection or library size. Genes B2M, PPBP, TMSB4X, ACTB, FTL, CLU, PF4, F13A1, GNAS, SPARC, PTMA, TAGLN2, OAZ1 and OST4 demonstrated the highest expression in the analysed cohort, remaining substantial transcription consistency. CSF3R gene was found upregulated in males (fold change 2.10, FDR q < 0.05). Cohort dichotomisation according to the median age, showed upregulated KSR1 in the older donors (fold change 2.11, FDR q < 0.05). Unsupervised hierarchical clustering revealed two clusters which were irrespective of age, sex, storage time, collecting unit or library size. However, when donors are analysed globally (as vectors), sex, storage time, library size, the unit of blood collection as well as age impose a certain degree of between- and/or within-group variability. Healthy donor platelet transcriptome retains general consistency, with very few splice variants deviating from the landscape. Although multidimensional analysis reveals statistically significant variability between and within the analysed groups, biologically, these changes are minor and irrelevant while considering disease classification. Our work provides a reference for studies working both on healthy platelets and pathological conditions affecting platelet transcriptome.
format article
author Anna Supernat
Marta Popęda
Krzysztof Pastuszak
Myron G. Best
Peter Grešner
Sjors In ’t Veld
Bartłomiej Siek
Natalia Bednarz-Knoll
Matthew T. Rondina
Tomasz Stokowy
Thomas Wurdinger
Jacek Jassem
Anna J. Żaczek
author_facet Anna Supernat
Marta Popęda
Krzysztof Pastuszak
Myron G. Best
Peter Grešner
Sjors In ’t Veld
Bartłomiej Siek
Natalia Bednarz-Knoll
Matthew T. Rondina
Tomasz Stokowy
Thomas Wurdinger
Jacek Jassem
Anna J. Żaczek
author_sort Anna Supernat
title Transcriptomic landscape of blood platelets in healthy donors
title_short Transcriptomic landscape of blood platelets in healthy donors
title_full Transcriptomic landscape of blood platelets in healthy donors
title_fullStr Transcriptomic landscape of blood platelets in healthy donors
title_full_unstemmed Transcriptomic landscape of blood platelets in healthy donors
title_sort transcriptomic landscape of blood platelets in healthy donors
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/4fd18847df6c4fb09343afbf7e38a8f5
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