(1) We have isolated several gamma-ray-induced mutants (GIMs) of the nontumorigenic HeLa x skin fibroblast hybrid CGL1 that were specifically selected for reexpression of IAP to further investigate the potential linkage between IAP regulation and the putative tumor suppressor locus.
(2) The relaxation rates of the exchangeable guanine imino protons (Gim) in H2O and in 90% D2O show that below 20 degrees C spin-lattice relaxation is exclusively from proton-proton magnetic dipolar interactions while proton-nitrogen interactions contribute about 30% to the spin-spin relaxation.
(3) These stimulate the processes of myeloid precursor proliferation directly (by means of lymphokines) and in cooperation with monocytes-macrophages of GIM.
(4) The relaxation rates of the Gim, C-H5, and C-H6 in B- and Z-form poly(dG-dC).poly(dG-dC) cannot be explained by assuming the DNA behaves as a rigid rod.
(5) Gonadotrophin-inhibiting material (GIM) was able to inhibit the binding of 125I-hCG to rat Leydig cells, suggesting that its inhibiting properties are due to its ability to complete for the hCG binding sites on Leydig cells.
(6) The observation that the spin-lattice relaxation is nonexponential and that the initial spin-lattice relaxation rate of the Gim, G-H8 and C-H6 protons depends on the selectivity of the exciting pulse shows that spin-diffusion dominates the spin-lattice relaxation.
(7) However, studies with tumor reconstitutes of the GIMs and transfection studies with an IAP complementary DNA expression vector indicate that high IAP expression alone is not sufficient to confer rapid tumor growth.
(8) Measurements of the 1H spin-lattice (R1) and spin-spin (R2) relaxation rates of the exchangeable thymine (Tim) and guanine (Gim) imino protons have been used to probe the internal dynamics of the B and Z-forms of poly[d(A-br5C).d(G-T)] and the mechanism of the B-Z transition.
(9) The GIMs have a wide range of cell morphology and level of IAP expression (nearly a factor of 40).
(10) The effect of GIM on hCG-induced adenylate cyclase activation and testosterone production was also studied.
(11) Conversion to the Z-form by addition of 4.5 M-NaCl dramatically reduces both the Tim and Gim exchange rates (estimated to be less than 2 s-1 at 70 degrees C).
(12) Binding of fluorescein isothiocyanate-tagged GIM to Leydig cells was also seen.
(13) The tumorigenicity of the GIMs was examined by s.c. injection into nude mice and all were found to be tumorigenic.
(14) The B and Z-forms of poly[d(A-br5C).d(G-T)] coexist in 4.6 M-NaCl at 45 degrees C. Due to slow exchange, two sets of Tim and Gim resonances are observed and can be assigned to the B and Z conformations (the chemical shifts are, respectively, Tim = 13.4, 14.1 p.p.m.
(15) In the second study a combination of music and imagery was examined by randomly assigning subjects to one of five groups: self-generated imagery with music (SIM), guided imagery with music (GIM), self-generated imagery without music (SI), guided imagery without music (GI), or no-treatment control.
(16) The tumor volume-doubling time is in the range of 4 to 8 days for all the cell lines; however, the lag time to reach 500 mm3 tumor volume was significantly longer when the GIM IAP activity was low (less than 20% relative activity), suggesting perhaps that there is a threshold level of IAP expression required for tumor formation and selection for high IAP expression in vivo.
(17) The increased number of committed precursor cells of erythro- and granulomonocytopoiesis, morphologically differentiated elements and enhancing colony-stimulating and erythropoietic activities of GIM cells origin were shown as well.
(18) At elevated temperature, R1 for both Tim and Gim in the B conformation is dominated by exchange with the solvent, with Tim exchanging more rapidly than Gim.
Glim
Definition:
(n.) Brightness; splendor.
(n.) A light or candle.
Example Sentences:
(1) The generalized linear interactive modeling (GLIM) technique used at TRRL has stricter assumptions, but is better suited for model testing.
(2) In this analysis, poisson regression models were fit using the statistical program GLIM (Generalized Linear Models) to determine the separate effects of age, period of death, and birth cohort on the specific cancers of interest (lung, liver, bladder, CNS, leukemia, lympho-reticulosarcoma, all cancers).
(3) This paper presents a simple Statistical Analysis System (SAS) program for the generation of such data in a form that can be read directly by GLIM and used in a Poisson regression analysis.
(4) The models were fitted by the GLIM system assuming a Poisson error function.
(5) The necessary calculations are easily performed in the statistical computer program package GLIM, and the necessary commands are noted.
(6) The spreading behavior of adherent platelets was analyzed using generalized linear interactive modeling (GLIM).
(7) Analysis of screen-detected and interval cancer data by means of statistical modelling using GLIM allowed us to estimate the mean sojourn time (1.91 and 3.97 years in 40-49 and 50-69 year old women respectively), sensitivity (about 90% for those aged 50-69) and predictive value at the prevalence screening test (about 100%).
(8) To this end, loglineal (Poisson regression) models were constructed of the IC mortality rates for both sexes, using the GLIM package, in which the regression coefficients are the natural Relative Risk (RR) logarithms of the various age groups (35-74 years), period of death (1970-1985) and birth cohort (1985-1960) with respect to the reference group mortality, controlled by the effect of other groups.
(9) Variable results on a particular bioassay exhibited by extracts from different colonies of a given species were analysed by the Generalized Linear Interactive Modelling system (GLIM).
(10) In particular, it is argued that classical methods as implemented in the computer package GLIM can be used as approximations to Bayesian methods, particularly at the initial stage of model selection.
(11) The bootstrap can be used in many statistical packages such as MINITAB, SPSS, SAS, BMDP, or GLIM, all of which are widely available, and could be useful in other areas of the pharmaceutical sciences where regression analysis is employed.
(12) In this report we present an accurate statistical approach using the Generalized Linear Interactive Modeling (GLIM) computer package developed by the Numerical Algorithms Group, Oxford, U.K.
(13) A piecewise exponential model is used to model relative risks of delivery associated with a previous spontaneous abortion and a model incorporating digit preference is fitted as a generalized bilinear model in GLIM.
(14) A log linear model was fitted using GLIM, assuming Poisson errors in incidence; linear and non-linear regression techniques were also used.
(15) Data on cycles to pregnancy can be used to estimate the beta parameters by maximum likelihood in a straightforward manner with a package such as GLIM.
(16) In this form, convergence to the least-squares estimates using the Gauss-Newton method [see Kennedy & Gentle (1980) Statistical Computing, Marcel Dekker, New York] is virtually ensured, or, as the model in this form is a member of the class of 'generalized linear models', it may be fitted by packages such as those of Rothamsted Experimental Station [(1977) GENSTAT (A General Statistical Program), Rothamsted Experimental Station, Harpenden] and the Numerical Algorithms Group [(1978) GLIM (Generalised Linear Interactive Modeling), Numerical Algorithms Group, Oxford].
(17) As the two groups were not balanced despite randomization, multivariate methods (GLIM) were used to identify significant prognostic factors.
(18) A generalized log linear model was fitted to the data using the statistical package GLIM, confirming a significant trend for labelled cells to occupy higher sites in the oxyntic gland as the time since labelling of cells increased.
(19) A method, using the GLIM computer package, for determining primary and secondary HLA associations with disease is described and is applied to data from patients with psoriasis and psoriatic arthritis.
(20) The statistical significance of temporal, age, sex, and seasonal variations in incidence rates was ascertained by Poisson regression models (GLIM statistical software).