Evidence map›Paper›PMID 37961700›Full record

ArticlebioRxiv : the preprint server for biology2023

Platelet proteo-transcriptomic profiling validates mediators of thrombosis and proteostasis in patients with myeloproliferative neoplasms.

Sarah Kelliher, Sara Gamba, Luisa Weiss, Zhu Shen, Marina Marchetti, Francesca Schieppati, Caitriona Scaife, Stephen Madden, Kathleen Bennett, Anne Fortune and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

17 authors at 6 institutions in 7 countries.

Sarah KelliherSchool of Medicine, University College Dublin, Dublin, Ireland.ORCID 0000-0002-3867-1585
Sara GambaDepartment of Immunohematology and Transfusion Medicine, Hospital Papa Giovanni XXIII, Bergamo, Italy.
Luisa WeissUCD Conway SPHERE Research Group, University College Dublin, Dublin, Ireland.
Zhu ShenStanford University School of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0003-4564-5438
Marina MarchettiDepartment of Immunohematology and Transfusion Medicine, Hospital Papa Giovanni XXIII, Bergamo, Italy.
Francesca SchieppatiDepartment of Immunohematology and Transfusion Medicine, Hospital Papa Giovanni XXIII, Bergamo, Italy.
Caitriona ScaifeUCD Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland.
Stephen MaddenData Science Centre, Royal College of Surgeons in Ireland, Dublin, Ireland.
Kathleen BennettSchool of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Anne FortuneSchool of Medicine, University College Dublin, Dublin, Ireland.
Su MaungSchool of Medicine, University College Dublin, Dublin, Ireland.
Michael FaySchool of Medicine, University College Dublin, Dublin, Ireland.
Fionnuala Ní ÁinleSchool of Medicine, University College Dublin, Dublin, Ireland.
Patricia MaguireUCD Conway SPHERE Research Group, University College Dublin, Dublin, Ireland.
Anna FalangaDepartment of Immunohematology and Transfusion Medicine, Hospital Papa Giovanni XXIII, Bergamo, Italy.ORCID 0000-0002-5007-3457
Barry KevaneSchool of Medicine, University College Dublin, Dublin, Ireland.ORCID 0000-0003-4119-2718
Anandi KrishnanStanford University School of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0962-2215
University College Dublin · IEOspedale Papa Giovanni XXIII · ITRoyal College of Surgeons in Ireland · IERutgers, The State University of New Jersey · USStanford University · USUniversity of Medicine and Health Sciences · KN

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford Mendelian Genomics Research CenterU01HG011762 · NHGRI · STANFORD UNIVERSITY · PI Jonathan Adam Bernstein, Stephen Montgomery · 2021 to 2026
$16.7M
Integrated Clinical and Transcriptomic Profiling to Characterize Disease PhenotypeK08HG010061 · NHGRI · STANFORD UNIVERSITY · PI KRISHNAN, ANANDI · 2018 to 2022
$955k
NCATS NIH HHS UL1 TR001085NHGRI NIH HHS K08 HG010061NHGRI NIH HHS U01 HG011762Wellcome Trust
6 · The paper itself

Abstract

Patients with chronic Myeloproliferative Neoplasms (MPN) including polycythemia vera (PV) and essential thrombocythemia (ET) exhibit unique clinical features, such as a tendency toward thrombosis and hemorrhage, and risk of disease progression to secondary bone marrow fibrosis and/or acute leukemia. Although an increase in blood cell lineage counts (quantitative features) contribute to these morbid sequelae, the significant qualitative abnormalities of myeloid cells that contribute to vascular risk are not well understood. Here, we address this critical knowledge gap via a comprehensive and untargeted profiling of the platelet proteome in a large (n= 140) cohort of patients (from two independent sites) with an established diagnosis of PV and ET (and complement prior work on the MPN platelet transcriptome from a third site). We discover distinct MPN platelet protein expression and confirm key molecular impairments associated with proteostasis and thrombosis mechanisms of potential relevance to MPN pathology. Specifically, we validate expression of high-priority candidate markers from the platelet transcriptome at the platelet proteome (

Identifiers

PMID37961700
PMCPMC10634751
OpenAlexW4387936946

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.