Dataset Information

Whole transcriptome analysis of platelet concentrates during storage.

ABSTRACT:

Background

Platelets are anucleated blood cells and contain various RNA species. We investigated the changes in the whole transcriptome expression profile of platelet concentrates (PC) during storage to explore biological functions and biomarkers in platelet storage damage.

Materials and methods

Platelets were collected by apheresis from eight healthy blood donors and stored from day 0 to day 4. Platelet phenotyping and function analysis were used to detect platelet activity during storage. RNA-sequencing was used to detect changes in expression of mRNA, lncRNA and circRNA in the PC during storage. Gene ontology and KEGG analyses were applied to predict the functional distribution of differential expression of mRNA. Gene set enrichment analysis was used to analyze the differential levels of gene pathways. Finally, polymerase chain reaction (PCR) analysis was performed to verify the expression of three mRNA (POLE2, DCUN1D4, DAD1).

Results

In total, 10,767 mRNA, 2,923 lncRNA and 68,550 circRNA were detected in the PC by RNA-sequencing. The expression levels of 222 mRNA changed significantly from day 0 to day 4 of storage: 58 increased continuously and 145 decreased continuously. Differentially expressed mRNA may be involved in physiological processes such as platelet activation, platelet aggregation, endocytosis, and apoptosis. Expression levels of 1,413 lncRNA were obvious. The levels of 42 species increased and the levels of 28 species decreased. The expression levels of 198 species of circRNA changed significantly, with those of 13 species changing continuously. The differential levels of expression of DAD1, DCUN1D4 and POLE1 mRNA, shown by RNA sequencing, were validated by PCR assay.

Discussion

Changes in mRNA, lncRNA and circRNA during platelet storage may be closely related to platelet apoptosis and physiological functions in the platelet storage lesion. The expression levels of DAD1, DCUN1D4 and POLE1 could be biomarkers to monitor platelet status in PC bags.

SUBMITTER: Heililahong H

PROVIDER: S-EPMC10072990 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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Publications

Whole transcriptome analysis of platelet concentrates during storage.

Heililahong Hasiyati H Jin Peipei P Lei Hang H Gu Haihui H Qian Baohua B Wang Xuefeng X Dai Jing J Cai Xiaohong X

Blood transfusion = Trasfusione del sangue 20220216 2

<h4>Background</h4>Platelets are anucleated blood cells and contain various RNA species. We investigated the changes in the whole transcriptome expression profile of platelet concentrates (PC) during storage to explore biological functions and biomarkers in platelet storage damage.<h4>Materials and methods</h4>Platelets were collected by apheresis from eight healthy blood donors and stored from day 0 to day 4. Platelet phenotyping and function analysis were used to detect platelet activity durin ...[more]

PMID: 35175191

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Project description:Platelet concentrates (PCs) represent a blood transfusion product with a major concern for safety as their storage temperature (20-24ºC) allows bacterial growth, and their maximum storage time period (less than a week) precludes complete microbiological testing. Pathogen inactivation technologies (PITs) provide an additional layer of safety to the blood transfusion products from known and unknown pathogens (such as bacteria, viruses and parasites). In this context, PITs (such as Mirasol Pathogen Reduction Technology -PRT-) have been developed and are implemented in many countries. However, several studies have shown in vitro that Mirasol PRT induces a certain level of platelet shape change, hyperactivation, basal degranulation and increased oxidative damage during storage. It has been suggested that Mirasol PRT might accelerate what has been described as the platelet storage lesion (PSL), but supportive molecular signatures have not been obtained. We aimed at dissecting the influence of both variables, i.e. Mirasol PRT and storage time, at the proteome level. We present comprehensive proteomics data analysis of Control PCs and PCs treated with Mirasol PRT at storage days 2, 6 and 8. Our workflow was set to perform proteomics analysis using a gel-free and label-free quantification (LFQ) approach. Semi-quantification was based on LFQ signal intensities of identified proteins using MaxQuant/Perseus software platform. We identified marginal differences between Mirasol PRT and control PCs during storage. However, those significant changes at the proteome level were specifically related to the functional aspects previously described to affect platelets upon Mirasol PRT, and in addition, the effect of Mirasol PRT on the platelet proteome appeared not to be exclusively due to an accelerated or enhanced PSL. In summary, semi-quantitative proteomics allows to discern between proteome changes due to Mirasol PRT or PSL, and proves to be a methodology suitable to phenotype platelets in an unbiased manner, in various physiological contexts.

Dataset Information

Whole transcriptome analysis of platelet concentrates during storage.

Background

Materials and methods

Results

Discussion

Publications

Whole transcriptome analysis of platelet concentrates during storage.

Similar Datasets

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