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Preparation and Pathogen Inactivation of Double Dose Buffy Coat Platelet Products using the INTERCEPT Blood System
Published on: December 7, 2012
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Whole transcriptome analysis of platelet concentrates during storage
Hasiyati Heililahong1,2, Peipei Jin1, Hang Lei1,3
1Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Blood Transfusion = Trasfusione Del Sangue
|February 17, 2022
Summary
Platelet RNA changes during storage reveal insights into storage lesion and potential biomarkers. DAD1, DCUN1D4, and POLE1 mRNA levels may indicate platelet quality in blood bags.
Area of Science:
- Hematology
- Molecular Biology
- Biotechnology
Background:
- Platelets are essential anucleated blood cells containing diverse RNA species.
- Platelet storage lesion (PSL) encompasses changes occurring during storage, impacting platelet function and viability.
- Investigating RNA profiles in platelet concentrates (PC) is crucial for understanding PSL and identifying biomarkers.
Purpose of the Study:
- To comprehensively analyze the whole transcriptome expression profile of PC during storage.
- To identify biological functions and potential biomarkers associated with platelet storage damage.
- To validate specific mRNA candidates as indicators of platelet status.
Main Methods:
- Apheresis collection of platelets from healthy donors, followed by storage from day 0 to day 4.
- Platelet phenotyping and functional assays to assess platelet activity.
- RNA-sequencing (RNA-seq) to profile mRNA, lncRNA, and circRNA expression.
- Bioinformatic analyses including Gene Ontology and KEGG pathway analysis.
- Polymerase chain reaction (PCR) for validation of selected mRNA transcripts.
Main Results:
- RNA-seq detected 10,767 mRNA, 2,923 lncRNA, and 68,550 circRNA.
- Significant changes in 222 mRNA, 1,413 lncRNA, and 198 circRNA were observed during storage.
- Differentially expressed genes are implicated in platelet activation, aggregation, endocytosis, and apoptosis.
- PCR validated altered expression of DAD1, DCUN1D4, and POLE1 mRNA.
Conclusions:
- Changes in mRNA, lncRNA, and circRNA during PC storage correlate with platelet apoptosis and PSL.
- DAD1, DCUN1D4, and POLE1 mRNA expression levels show potential as biomarkers for monitoring platelet quality in PC bags.
