No abstract

Podoplanin (aggrus), a transmembrane sialoglycoprotein, is involved in tumor cell-induced platelet aggregation, tumor metastasis, and lymphatic vessel formation. However, the mechanism by which podoplanin induces these cellular processes including its receptor has not been elucidated to date. Podoplanin induced platelet aggregation with a long lag phase, which is dependent upon Src and phospholipase C␥2 activation. However, it does not bind to glycoprotein VI. This mode of platelet activation was reminiscent of the snake toxin rhodocytin, the receptor of which has been identified by us as a novel platelet activation receptor, C-type lectin-like receptor 2 (CLEC-2) (Suzuki-Inoue, K.

Autotaxin (ATX) is a cancer-associated motogen that has multiple biological activities in vitro through the production of bioactive small lipids, lysophosphatidic acid (LPA). ATX and LPA are abundantly present in circulating blood. However, their roles in circulation remain to be solved. To uncover the physiological role of ATX we analyzed ATX knock-out mice. In ATXnull embryos, early blood vessels appeared to form properly, but they failed to develop into mature vessels. As a result ATX-null mice are lethal around embryonic day 10.5. The phenotype is much more severe than those of LPA receptor knock-out mice reported so far. In cultured allantois explants, neither ATX nor LPA was angiogenic. However, both of them helped to maintain preformed vessels by preventing disassembly of the vessels that was not antagonized by Ki16425, an LPA receptor antagonist. In serum from heterozygous mice both lysophospholipase D activity and LPA level were about half of those from wild-type mice, showing that ATX is responsible for the bulk of LPA production in serum. The present study revealed a previously unassigned role of ATX in stabilizing vessels through novel LPA signaling pathways. Autotaxin (ATX)2 is a motogen-like phosphodiesterase originally isolated from conditioned medium of human melanoma cells (1). Enforced expression of ATX in Ras-transformed NIH3T3 cells greatly enhances their invasive, tumorigenic, and metastatic potentials (2). In addition, enhanced expression of ATX has been demonstrated in various malignant tumor tissues (3). Thus, ATX is implicated in tumorigenic and metastatic potentials of cancer cells. ATX is also expressed in various tissues and is present at high concentration in various biological fluids including plasma, serum, and seminal plasma (4), implying specific roles of ATX in circulation.Recently, ATX was shown to have lysophospholipase D (lysoPLD) activity, which converts lysophosphatidylcholine to a bioactive lysophospholipid, lysophosphatidic acid (LPA) (5, 6). ATX also converts sphingosylphosphorylcholine into another bioactive lysophospholipid, sphingosine 1-phosphate (S1P) in vitro (7). Because LPA and S1P are regulators of cell motility and proliferation in various cell systems, they might be the effectors of the motogenic actions of ATX. LPA and S1P have been shown to have diverse roles in many biological processes that are mediated by G protein-coupled receptors (GPCRs) specific to LPA or S1P; there are five GPCRs for LPA (LPA 1-5 ) and five for S1P (S1P 1-5 ) with a number of putative GPCRs (8). Thus, ATX may exert its functions through these receptors. Indeed, ATX stimulates cell motility of tumor cells through one of the LPA receptors, LPA 1 (9), and ATX positively or negatively modulates cell motility depending on S1P receptor subtypes (7, 10). To uncover the physiological role of ATX and to identify the endogenous product of ATX, we investigated ATX knock-out mice. In this study we show that ATX produces LPA, but not S1P, in circulating blood and that it contributes to blood vess...

Although sphingosine 1-phosphate (Sph-1-P) is reportedly involved in diverse cellular processes and the physiological roles of this bioactive sphingolipid have been strongly suggested, few studies have revealed the presence of Sph-1-P in human samples, including body fluids and cells, under physiological conditions. In this study, we identified Sph-1-P as a normal constituent of human plasma and serum. The Sph-1-P levels in plasma and serum were 191+/-79 and 484+/-82 pmol/ml (mean+/-SD, n=8), respectively. Furthermore, when Sph-1-P was measured in paired plasma and serum samples obtained from 6 healthy adults, the serum Sph-1-P/plasma Sph-1-P ratio was found to be 2.65+/-1.26 (mean+/-SD). It is most likely that the source of discharged Sph-1-P during blood clotting is platelets, because platelets abundantly store Sph-1-P compared with other blood cells, and release part of their stored Sph-1-P extracellularly upon stimulation. We also studied Sph-1-P-related metabolism in plasma. [3H]Sph was stable and not metabolized at all in plasma, but was rapidly incorporated into platelets and metabolized mainly to Sph-1-P in platelet-rich plasma. [3H]Sph-1-P was found to be unchanged in plasma, revealing that plasma does not contain the enzymes needed for Sph-1-P degradation. In summary, platelets can convert Sph into Sph-1-P, and are storage sites for the latter in the blood. In view of the diverse biological effects of Sph-1-P, the release of Sph-1-P from activated platelets may be involved in a variety of physiological and pathophysiological processes, including thrombosis, hemostasis, atherosclerosis and wound healing.

A fundamental challenge of biology is to understand the vast heterogeneity of cells, particularly how cellular composition, structure, and morphology are linked to cellular physiology. Unfortunately, conventional technologies are limited in uncovering these relations. We present a machine-intelligence technology based on a radically different architecture that realizes real-time image-based intelligent cell sorting at an unprecedented rate. This technology, which we refer to as intelligent image-activated cell sorting, integrates high-throughput cell microscopy, focusing, and sorting on a hybrid software-hardware data-management infrastructure, enabling real-time automated operation for data acquisition, data processing, decision-making, and actuation. We use it to demonstrate real-time sorting of microalgal and blood cells based on intracellular protein localization and cell-cell interaction from large heterogeneous populations for studying photosynthesis and atherothrombosis, respectively. The technology is highly versatile and expected to enable machine-based scientific discovery in biological, pharmaceutical, and medical sciences.