Biology subjects

Baumeister, J.

Publications and source records attributed to Baumeister, J..

3 recordsLinked to original sources

bioRxiv2026

Nanoparticle size governs engagement with myeloid cells and hitchhiking to hematopoietic organs in myeloproliferative neoplasms

Nanoparticle design principles contribute to desirable in vivo performance, including prolonged circulation, desirable biodistribution profiles, and tuned interactions with the immune system. The importance of these variables, although well-established in solid tumors, remains elusive in the context of hematological malignancies. Here, we investigated the influence of liposome size on biodistribution and cellular uptake within hematopoietic compartments - bone marrow (BM) and spleen - in JAK2V617F myeloproliferative neoplasms (MPN). A milli-fluidic manufacturing platform combined with a Design-of-Experiments (DoE) approach was used to generate small, medium, and large liposomes. Liposome uptake was assessed ex vivo using blood samples from healthy donors and MPN patients, followed by in vivo biodistribution studies in a transgenic JAK2V617F MPN mouse model. Organ-level accumulation was quantified using hybrid fluorescence / computed tomography (FLT/CT) imaging, while cellular uptake was evaluated via flow cytometry. Whole-body imaging revealed that increasing liposome size enhanced delivery to both the spleen and BM, with larger liposomes exhibiting the highest accumulation in both organs. Cellular analysis corroborated the in vivo observations, demonstrating that large liposomes are taken up to a greater extent by monocytes and granulocytes, in both spleen and BM. At late time-points post-injection, the liposomal accumulation was twice as high in the BM in comparison to the spleen and peripheral blood, highlighting the progressively elevated accumulation and retention in the BM, as opposed to the elimination phase nanoparticles undergo in clearance organs and circulation at these time-points. Of note, among BM mature myeloid cells, neutrophils were associated with a higher nanoparticle uptake than monocytes, highlighting their capability to phagocytose material in circulation and hitchhike it to malignant or inflamed regions. These findings demonstrate that continuous flow manufacturing procedures can swiftly produce nanoparticles with desirable characteristics that are essential for tuning the biodistribution towards hematopoietic organs and myeloid immune cells. By providing mechanistic insights into nanoparticle behavior within hematopoietic compartments, this work advances our understanding of nanomedicine in vivo performance and highlights particle size as a critical quality attribute that can be optimized and controlled to improve targeted delivery to myeloid cells in the treatment of hematological malignancies.

cancer biology↗

bioRxiv2021

CALR frameshift mutations in MPN patient-derived iPS cells accelerate maturation of megakaryocytes

Calreticulin (CALR) mutations are driver mutations in myeloproliferative neoplasms (MPNs), leading to activation of the thrombopoietin receptor, and causing abnormal megakaryopoiesis. Here, we generated patient-derived CALRins5- or CALRdel52-positive induced pluripotent stem (iPS) cells to establish a MPN disease model for molecular and mechanistic studies. We demonstrated myeloperoxidase deficiency in CD15+ granulocytic cells derived from homozygous CALR-mutant iPS cells, rescued by repairing the mutation using CRISPR/Cas9. iPS cell-derived megakaryocytes showed characteristics of primary megakaryocytes such as formation of demarcation membrane system and cytoplasmic pro-platelets protrusions. Importantly, CALR mutations led to enhanced megakaryopoiesis and accelerated megakaryocytic development in a thrombopoietin-independent manner. Mechanistically, our study identified differentially regulated pathways in mutated vs. unmutated megakaryocytes, such as hypoxia signaling, which represents a potential target for therapeutic intervention. Altogether, we demonstrate key aspects of mutated CALR-driven pathogenesis, dependent on its zygosity and found known and novel therapeutic targets, making our model a valuable tool for clinical drug screening in MPNs.

cancer biology↗

bioRxiv2021

Resting-state aperiodic neural dynamics predict individual differences in visuomotor performance and learning

An emerging body of work has demonstrated that resting-state non-oscillatory, or aperiodic, 1/f neural activity is a functional and behaviorally relevant marker of cognitive function capacity. In the motor domain, previous work has only applied 1/f analyses to description of action coordination and performance. The value of aperiodic resting-state neural dynamics as a marker of individual visuomotor performance capacity remains unknown. Accordingly, the aim of this work was to investigate if individual 1/f intercept and slope parameters of aperiodic resting-state neural activity predict reaction time and perceptual sensitivity in an immersive virtual reality marksmanship task. The marksmanship task required speeded selection of target stimuli and avoidance of non-target stimuli selection. Motor and perceptual demands were incrementally increased across task blocks and participants performed the task across three training sessions spanning one week. When motor demands were high, steeper individual 1/f slope predicted shorter reaction time. This relationship did not change with practice. Increased 1/f intercept and a steeper 1/f slope were associated with higher perceptual sensitivity, measured as d. However, this association was only observed under the highest levels of perceptual demand and only in the initial exposure to these conditions. Individuals with a lower 1/f intercept and a shallower 1/f slope demonstrated the greatest gains in perceptual sensitivity from task practice. These findings demonstrate that individual differences in motor and perceptual performance can be accounted for with resting-state aperiodic neural dynamics. The 1/f aperiodic parameters are most informative in predicting visuomotor performance under complex and demanding task conditions. In addition to predicting capacity for high visuomotor performance with a novel task, 1/f aperiodic parameters might also be useful in predicting which individuals might derive the most improvements from practice.

neuroscience↗