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Response extended indirect

The function of spectrin superfamily proteins is particularly evident when taken in context of their cellular localization. They often form flexible links or structures that allow interactions with the cellular cyto-skeletal architecture and the membrane. In both spectrin and dystrophin, such a function is performed, but the spectrin repeats of these molecules are also able to interact with actin and contribute to binding. A portion of the dystrophin rod domain that spans residues 11-17 contains a number of basic repeats that allow a lateral interaction with filamentous actin (Rybakova et al., 2002). The homologous utrophin can also interact laterally with actin. This interaction is distinct from that of dystrophin, as the utrophin rod domain lacks the basic repeat cluster and associates with actin via the first ten spectrin repeats (Rybakova et al., 2002). /3-Spectrin also exhibits an extended contact with actin via the first spectrin repeat. In this situation, it was found that the extended contact increased the association of the adjacent ABD with actin (Li and Bennett, 1996). In conjunction with this interaction, it has been found that the second repeat is also required for maximal interaction with adducin (Li and Bennett, 1996), a protein localized at the spectrin-actin junction that is believed to contribute to the assembly of this structure in the membrane skeletal network (Gardner and Bennett, 1987). In the erythrocyte cytoskeletal lattice, /3-spectrin interacts with ankyrin, which in turn binds to the cytoplasmic domain of the membrane-associated anion exchanger. This indirect link to the cellular membrane occurs via repeat 15 of /3-spectrin (Kennedy et al., 1991) and is largely responsible for the attachment of the spectrin-actin network to the erythrocyte membrane (reviewed in Bennett and Baines, 2001). A much larger number of direct links to transmembrane proteins have been determined for the spectrin repeats of o-actinin (reviewed in Djinovic-Carugo et al, 2002). [Pg.220]

In the gel network there are zones, where the polymers interact, and large segments, where the macromolecules are randomly extended. The lattice is responsible for the elasticity and the textural strength of the product. In multicomponent gels all constituents may form separate or coupled networks, or else one component, not involved in network formation, may indirectly affect the gelling by steric exclusion of the active molecules. Such exclusion increases the concentration of the active component in the volume of the solution where the gel is formed. In gels made from the mince of squid meat at 1.5% NaCl, the added carrageenan and egg whites form separate networks that support the structure made of squid proteins, while added... [Pg.145]

Indirect response models have been extended to drugs that alter the generation of natural cells (41). Unlike cancerous cells and embryonic stem cells, the lifespan of primary human cells is finite. Thus, cells live for a specific duration known as the cell lifespan and then undergo apoptosis (programmed cell death). Cell lifespan models assume that, for a given cell type, each cell lives for the same period of time Tr and then disappears (Figure 22.3). Thus, cells are produced at a zero-order rate kin and are lost at the same rate, but Tr units of time later ... [Pg.586]

Determining the time constant of the sensor is usually more difficult than estimating the repeatability. To determine the time constant of the sensor system, one needs to know the actual process measurement. Consider a temperature measurement. A measurement of the actual process temperature is required to estimate the time constant of a sensor. Instead, the thermal resistance, which causes the excessive thermal lag of the temperature sensor, can be evaluated. The location of the thermowell should be checked to ensure that it extends far enough into the line that the fluid velocity past the thermowell is sufficient the possibility of buildup of insulating material on the outside of the thermowell should be assessed, and the thermal contact between the end of the temperature probe and the thermowell walls should be evaluated. In this manner, an indirect estimate of the responsiveness of the temperature sensor can be developed. The velocity of a sample in the line, which delivers a sample from a process line to a GC, can indicate the transport delay associated with the sample system. A low velocity in the sample line from the process stream to a GC can result in excessive transport delay, which can greatly reduce controller effectiveness. [Pg.1197]

DOC is involved primarily in the absorption of the UV component of solar radiation in seawater [119]. As a result, it seems hkely that UV radiation is responsible for most of the photochemical transformations of this carbon [120]. The depth to which UV can penetrate in seawater is about 20 m in the case of UV-B (280-320 nm) radiation and about 60 m in the case of UV-A (320-400 nm) radiation [121]. As a result, the photochemical effects of UV are restricted to the upper regions of a photic zone extending to a depth of about 100 m in the open ocean. Photochemical transformations of the organic matter measured as DOC can be caused by the direct absorption of hght or indirectly by the production of peroxides and free radicals [122]. The major identifiable photoproduct of DOC is CO2 [122,123], but a number of low molecular weight organic products are also produced [100,101,120,122]. [Pg.49]

From an analysis standpoint, often only the trials with all common doses are included, which can exclude important information. One may also crudely pool patients at the same dose level across studies, but the drawback is that it breaks down the randomization. Bayesian methodology has been shown to be useful in the context of indirect and mixed treatment comparison methods, to combine information from different therapies in different studies in order to make treatment effect inferences, but instead of modeling differenf dose arms in different studies, we extend the methodology to allow for assessment of the dose-response relationship across multiple clinical trials. [Pg.262]


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