Megakaryocytic proteomic signatures define myeloproliferative neoplasms

The classical Philadelphia-negative myeloproliferative neoplasms (MPNs) are clonal stem cell disorders of the bone marrow with significant niche dysregulation driven in part by abnormal megakaryocytes. The three classical MPNs: polycythemia vera (PV), essential thrombocythemia (ET) and primary myelofibrosis (PMF), display established megakaryocytic morphological differences which aid in their diagnostic classification. The paucity of megakaryocytes in the bone marrow aspirate has previously limited a proteomic analysis of megakaryocytes in clinical samples. We aimed to undertake an unbiased proteomic analysis of in situ megakaryocytes from the bone marrow of patients with PV, ET, and PMF. Using a novel, deep visual proteomics strategy, we dissected and analyzed megakaryocytes from 60 MPN patients and 20 controls (patients with limited stage non-Hodgkin lymphoma who had uninvolved bone marrow). We reveal that megakaryocyte proteomics from MPN patients are distinct to those from control patients, and further, that the megakaryocytes from the three MPNs have unique, disease-specific signatures. The disease-specific megakaryocyte proteome highlights novel pathways of disease.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-02
DOI
https://doi.org/10.64898/2026.10.30.762990
Primary Topic
Myeloproliferative Neoplasms: Diagnosis and Treatment
Type
preprint

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Megakaryocytic proteomic signatures define myeloproliferative neoplasms

Anne Pettikiriarachchi, Surender K Juneja, Cavan Bennett, Indu Raman et al.
2 links
bioRxiv (Cold Spring Harbor Laboratory)
Myeloproliferative Neoplasms: Diagnosis and Treatment
preprint

Megakaryocytic proteomic signatures define myeloproliferative neoplasms

Anne Pettikiriarachchi, Surender K Juneja, Cavan Bennett, Indu Raman, Ricardo Ataíde, Sukhdeep Kaur Spall, Sant‐Rayn Pasricha, Pradeep Rajasekhar, Costas Kleanthes Yannakou, Jumana M. Yousef, Allan Motyer, Samantha J. Emery‐Corbin, Ellen Tsui, Yu Zhu, Laura F. Gianni
preprint en

Abstract

The classical Philadelphia-negative myeloproliferative neoplasms (MPNs) are clonal stem cell disorders of the bone marrow with significant niche dysregulation driven in part by abnormal megakaryocytes. The three classical MPNs: polycythemia vera (PV), essential thrombocythemia (ET) and primary myelofibrosis (PMF), display established megakaryocytic morphological differences which aid in their diagnostic classification. The paucity of megakaryocytes in the bone marrow aspirate has previously limited a proteomic analysis of megakaryocytes in clinical samples. We aimed to undertake an unbiased proteomic analysis of in situ megakaryocytes from the bone marrow of patients with PV, ET, and PMF. Using a novel, deep visual proteomics strategy, we dissected and analyzed megakaryocytes from 60 MPN patients and 20 controls (patients with limited stage non-Hodgkin lymphoma who had uninvolved bone marrow). We reveal that megakaryocyte proteomics from MPN patients are distinct to those from control patients, and further, that the megakaryocytes from the three MPNs have unique, disease-specific signatures. The disease-specific megakaryocyte proteome highlights novel pathways of disease.

bioRxiv (Cold Spring Harbor Laboratory)
The Royal Melbourne Hospital (AU), Walter and Eliza Hall Institute of Medical Research (AU), Epworth Hospital (AU)
Snowdome Foundation
Good health and well-being
Myeloproliferative Neoplasms: Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon