Evidence map›Paper›PMID 26172280›Full record

ArticlePloS one2015

Differential Expression Analysis by RNA-Seq Reveals Perturbations in the Platelet mRNA Transcriptome Triggered by Pathogen Reduction Systems.

Abdimajid Osman, Walter E Hitzler, Adam Ameur, Patrick Provost

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Platelet-Derived Extracellular Vesicles in Arterial Thrombosis.Advances in experimental medicine and biology · 2023
    Article
  6. A New Role of NAP1L1 in Megakaryocytes and Human Platelets.International journal of molecular sciences · 2022
    Article
  7. Platelets Purification Is a Crucial Step for Transcriptomic Analysis.International journal of molecular sciences · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Platelet Inflammatory Response to Stress.Frontiers in immunology · 2019
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 3 countries.

Abdimajid OsmanDepartment of Clinical Chemistry, Region Östergötland, Ingång 64, Linköping, Sweden; Department of Clinical and Experimental Medicine, University of Linköping, Linköping, Sweden.
Walter E HitzlerTransfusion Center, University Medical Center of the Johannes Gutenberg University Mainz, Hochhaus Augustusplatz, Mainz, Germany.
Adam AmeurDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala, Uppsala University, Uppsala, Sweden.
Patrick ProvostUniversité Laval CHUQ Research Center / CHUL 2705 Blvd Laurier, Quebec, QC, Canada.
Linköping University · SEScience for Life Laboratory · SEUniversity Medical Center of the Johannes Gutenberg University Mainz · DEWilfrid Laurier University · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Platelet concentrates (PCs) are prepared at blood banks for transfusion to patients in certain clinical conditions associated with a low platelet count. To prevent transfusion-transmitted infections via PCs, different pathogen reduction (PR) systems have been developed that inactivate the nucleic acids of contaminating pathogens by chemical cross-linking, a mechanism that may also affect platelets' nucleic acids. We previously reported that treatment of stored platelets with the PR system Intercept significantly reduced the level of half of the microRNAs that were monitored, induced platelet activation and compromised the platelet response to physiological agonists. Using genome-wide differential expression (DE) RNA sequencing (RNA-Seq), we now report that Intercept markedly perturbs the mRNA transcriptome of human platelets and alters the expression level of >800 mRNAs (P<0.05) compared to other PR systems and control platelets. Of these, 400 genes were deregulated with DE corresponding to fold changes (FC) ≥ 2. At the p-value < 0.001, as many as 147 genes were deregulated by ≥ 2-fold in Intercept-treated platelets, compared to none in the other groups. Finally, integrated analysis combining expression data for microRNA (miRNA) and mRNA, and involving prediction of miRNA-mRNA interactions, disclosed several positive and inverse correlations between miRNAs and mRNAs in stored platelets. In conclusion, this study demonstrates that Intercept markedly deregulates the platelet mRNA transcriptome, concomitant with reduced levels of mRNA-regulatory miRNAs. These findings should enlighten authorities worldwide when considering the implementation of PR systems, that target nucleic acids and are not specific to pathogens, for the management of blood products.

Indexed as

Blood BankingBlood PlateletsBlood PreservationHumansMicroRNAsNucleic AcidsPlatelet ActivationPlatelet TransfusionRNA, MessengerSequence Analysis, RNATranscriptomeMicroRNAsNucleic AcidsRNA, Messenger

Identifiers

PMID26172280
PMCPMC4501785
OpenAlexW1913923529

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.