4 resultados para Switch allocation

em DigitalCommons@The Texas Medical Center


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Sensory rhodopsin I (SRI) in Halobacterium salinarum acts as a receptor for single-quantum attractant and two-quantum repellent phototaxis, transmitting light stimuli via its bound transducer HtrI. Signal-inverting mutations in the SRI-HtrI complex reverse the single-quantum response from attractant to repellent. Fast intramolecular charge movements reported here reveal that the unphotolyzed SRI-HtrI complex exists in two conformational states, which differ by their connection of the retinylidene Schiff base in the SRI photoactive site to inner or outer half-channels. In single-quantum photochemical reactions, the conformer with the Schiff base connected to the cytoplasmic (CP) half-channel generates an attractant signal, whereas the conformer with the Schiff base connected to the extracellular (EC) half-channel generates a repellent signal. In the wild-type complex the conformer equilibrium is poised strongly in favor of that with CP-accessible Schiff base. Signal-inverting mutations shift the equilibrium in favor of the EC-accessible Schiff base form, and suppressor mutations shift the equilibrium back toward the CP-accessible Schiff base form, restoring the wild-type phenotype. Our data show that the sign of the behavioral response directly correlates with the state of the connectivity switch, not with the direction of proton movements or changes in acceptor pK(a). These findings identify a shared fundamental process in the mechanisms of transport and signaling by the rhodopsin family. Furthermore, the effects of mutations in the HtrI subunit of the complex on SRI Schiff base connectivity indicate that the two proteins are tightly coupled to form a single unit that undergoes a concerted conformational transition.

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SUMOylation has emerged as an important regulatory mechanism for protein function. SUMO-specific proteases (SENPs) are essential for removing SUMO from conjugated proteins in many different systems, but the physiological functions of SENPs are poorly understood. STAT5 (Signal Transducer and Activator of Transcription 5) plays a critical role in the development of lymphoid cells. However, it is not known whether STAT5 is regulated by the SUMOylation pathway. Here, we showed that SUMOylated STAT5 is accumulated in SENP1-/- lymphoid precursors. SENP1 deficiency results in severe defects in early T and B cell development, similar to that observed in mice harboring a complete inactivation of STAT5. Because STAT5 is SUMOylated and acetylated at the same lysine residue, SENP1 deficiency blocks STAT5 in the SUMOylation state, resulting in diminished STAT5 acetylation and phosphorylation, and defective lymphoid development. Thus, our results reveal a novel function of SENP1 in the regulation of early lymphoid development via an acetylation/SUMOylation switch in STAT5.

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A patient classification system was developed integrating a patient acuity instrument with a computerized nursing distribution method based on a linear programming model. The system was designed for real-time measurement of patient acuity (workload) and allocation of nursing personnel to optimize the utilization of resources.^ The acuity instrument was a prototype tool with eight categories of patients defined by patient severity and nursing intensity parameters. From this tool, the demand for nursing care was defined in patient points with one point equal to one hour of RN time. Validity and reliability of the instrument was determined as follows: (1) Content validity by a panel of expert nurses; (2) predictive validity through a paired t-test analysis of preshift and postshift categorization of patients; (3) initial reliability by a one month pilot of the instrument in a practice setting; and (4) interrater reliability by the Kappa statistic.^ The nursing distribution system was a linear programming model using a branch and bound technique for obtaining integer solutions. The objective function was to minimize the total number of nursing personnel used by optimally assigning the staff to meet the acuity needs of the units. A penalty weight was used as a coefficient of the objective function variables to define priorities for allocation of staff.^ The demand constraints were requirements to meet the total acuity points needed for each unit and to have a minimum number of RNs on each unit. Supply constraints were: (1) total availability of each type of staff and the value of that staff member (value was determined relative to that type of staff's ability to perform the job function of an RN (i.e., value for eight hours RN = 8 points, LVN = 6 points); (2) number of personnel available for floating between units.^ The capability of the model to assign staff quantitatively and qualitatively equal to the manual method was established by a thirty day comparison. Sensitivity testing demonstrated appropriate adjustment of the optimal solution to changes in penalty coefficients in the objective function and to acuity totals in the demand constraints.^ Further investigation of the model documented: correct adjustment of assignments in response to staff value changes; and cost minimization by an addition of a dollar coefficient to the objective function. ^

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TGF-β plays an important role in differentiation and tissue morphogenesis as well as cancer progression. However, the role of TGF-β in cancer is complicate. TGF-β has primarily been recognized as tumor suppressor, because it can directly inhibit cell proliferation of normal and premalignant epithelial cell. However, in the last stage of tumor progression, TGF-β functions as tumor promoter to enhance tumor cells metastatic dissemination and expands metastatic colonies. Currently, the mechanism of how TGF-β switches its role from tumor suppressor to promoter still remains elusive. Here we identify that overexpression of 14-3-3ζ inhibits TGF-β’s cell cytostatic program through destabilizing p53 in non-transformed human mammary epithelial cells. Mechanistically, we found that 14-3-3ζ overexpression leads to 14-3-3σ downregulation, thereby activates PI3K/Akt signaling pathway and degrades p53, and further inhibits TGF-β induced p21 expression and cell cytostatic function. In addition, we found that overexpression of 14-3-3ζ promotes TGF-β induced breast cancer cells bone metastatic colonization through stabilizing Gli2, which is an important co-transcriptional factor for p-smad2 to activate PTHrP expression and bone osteolytic effect. Taken together, we reveal a novel mechanism that 14-3-3ζ dictates the tumor suppressor or metastases promoter activities of TGF-β signaling pathway through switching p-smad2 binding partner from p53 to Gli2. The expected results will not only provide us the better understanding of the important role of 14-3-3ζ in the early stage of breast cancer development, but also deeply impact our knowledge of signaling mechanisms underlying the complex roles of TGF-β in cancer, which will give us a more accurate strategy to determine when and how anti-TGF-β targeted therapy might be effective.