Inhibition of RhoA-mediated secretory autophagy in megakaryocytes mitigates myelofibrosis in mice.

Unlabelled: Megakaryocytes (MKs) are large, polyploid cells that contribute to bone marrow homeostasis through the secretion of cytokines such as transforming growth factor β1 (TGFβ1). During neoplastic transformation, immature MKs accumulate in the bone marrow where they induce fibrotic remodeling ultimately resulting in myelofibrosis. Current treatment strategies aim to prevent MK hyperproliferation, however, little is understood about the potential of targeting dysregulated cytokine secretion from neoplastic MKs as a novel therapeutic avenue.

Serglycin controls megakaryocyte retention of platelet factor 4 and influences megakaryocyte fate in bone marrow.

Megakaryocytes (MKs) produce platelets, and like other hematopoietic progenitors they are involved in homeostatic aspects of their bone marrow niche. MKs release and endocytose various factors, such as platelet factor 4 (PF4/CXCL4). Here we show that the intra-α-granular proteoglycan, serglycin (SRGN) plays a key role in this process by retaining PF4 and perhaps other factors during MK maturation.

Unfolded Von Willebrand Factor Binds Protein S and Reduces Anticoagulant Activity.

Protein S (PS), the critical plasma cofactor for the anticoagulants tissue factor (TF) pathway inhibitor (TFPI) and activated protein C (APC), circulates in two functionally distinct pools: free (anticoagulant) or bound to complement component 4b-binding protein (C4BP) (anti-inflammatory). Acquired free PS deficiency is detected in several viral infections, but its cause is unclear. Here, we identified a shear-dependent interaction between PS and von Willebrand Factor (VWF) by mass spectrometry.

EcoHIV-Infected Mice Show No Signs of Platelet Activation.

Platelets express several surface receptors that could interact with different viruses. To understand the mechanisms of HIV-1's interaction with platelets, we chose the EcoHIV model. While EcoHIV is an established model for neuroAIDS, its effects on platelets are ill-defined.

Deep learning, 3D ultrastructural analysis reveals quantitative differences in platelet and organelle packing in COVID-19/SARSCoV2 patient-derived platelets.

Platelets contribute to COVID-19 clinical manifestations, of which microclotting in the pulmonary vasculature has been a prominent symptom. To investigate the potential diagnostic contributions of overall platelet morphology and their α-granules and mitochondria to the understanding of platelet hyperactivation and micro-clotting, we undertook a 3D ultrastructural approach. Because differences might be small, we used the high-contrast, high-resolution technique of focused ion beam scanning EM (FIB-SEM) and employed deep learning computational methods to evaluate nearly 600 individual platelets and 30 000 included organelles within three healthy controls and three severely ill COVID-19 patients.