Modulation of replicative senescence of skeletal muscle satellite cells by insulin -like growth factor-I (IGF-I)

Growth and regeneration of postnatal skeletal muscle requires a population of mononuclear myogenic cells, called satellite cells to add/replace myonuclei, which are postmitotic. Wedged between the sarcolemma and the basal lamina of the skeletal muscle fiber, these cells function as the stem cells of mature muscle fibers. Like other normal diploid cells, satellite cells undergo cellular senescence. Investigations of aging in both rodents and humans have shown that satellite cell self-renewal capacity decreases with advanced age. As a consequence, this could be a potential reason for the characteristically observed age-associated loss in skeletal muscle mass (sarcopenia). This provided the rationale that any intervention that can further increase the proliferative capacity of these cells should potentially be able to either delay, or even prevent sarcopenia. ^ Using clonogenicity assays to determine a cell's proliferation potential, these studies have shown that IGF-I enhances the doubling potential of satellite cells from aged rodents. Using a transgenic model, where the mice express the IGF-I transgene specifically in their striated muscles, some of the underlying biochemical mechanisms for the observed increase in replicative life span were delineated. These studies have revealed that IGF-I activates the PI3/Akt pathway to mediate downregulation of p27KIP1, which consequently is associated with an increase in cyclin E-cdk2 kinase activity, phosphorylation of pRb, and upregulation of cyclin A protein. However, the beneficial effects of IGF-I on satellite cell proliferative potential appears to be limited as chronic overexpression of IGF-I in skeletal muscles did not protect against sarcopenia in 18-mo old mice, and was associated with an exhaustion of satellite cell replicative reserves. ^ These results have shown that replicative senescence can be modulated by environmental factors using skeletal muscle satellite cells as a model system. A better understanding of the molecular basis for enhancement of proliferative capacity by IGF-I will provide a rational basis for developing more effective counter-measures against physical frailty. However, the implications of these studies are that these beneficial effects of enhanced proliferative potential by IGF-I may only be over a short-term period, and other alternative approaches may need to be considered. ^

The SPARC Data Initiative CFC-11, CFC-12, HF and SF6 climatologies from international satellite limb sounders

CFC-11 (CCl3F), CFC-12 (CCl2F2), HF, and SF6 products from limb-viewing satellite instruments are provided in the form of monthly zonal mean time series obtained from HALOE, MIPAS, ACE-FTS, and HIRDLS within the time period 1991-2010. The data products are made available as part of the Stratosphere-troposphere Processes And their Role in Climate (SPARC) Data Initiative. The trace gas time series extend from the mid-troposphere to as high as the mesosphere. The zonal monthly mean time series are calculated on the SPARC Data Initiative climatology grid using 5° latitude bins and 28 pressure levels. The zonal monthly mean volume mixing ratio (VMR) and the standard deviation along with the number of averaged data values are given for each month, latitude bin, and pressure level. Furthermore, the mean, minimum, and maximum local solar time, the average latitude, and the average day of the month within each bin for one selected pressure level are provided. The time series of all variables are saved in a consistent netcdf format.

Mean dynamic topography and oceanographic parameters estimated from an inverse model and satellite geodesy, with link to model result in one single NetCDF file (392 MB), including the inverse data error covariance

Geostrophic surface velocities can be derived from the gradients of the mean dynamic topography-the difference between the mean sea surface and the geoid. Therefore, independently observed mean dynamic topography data are valuable input parameters and constraints for ocean circulation models. For a successful fit to observational dynamic topography data, not only the mean dynamic topography on the particular ocean model grid is required, but also information about its inverse covariance matrix. The calculation of the mean dynamic topography from satellite-based gravity field models and altimetric sea surface height measurements, however, is not straightforward. For this purpose, we previously developed an integrated approach to combining these two different observation groups in a consistent way without using the common filter approaches (Becker et al. in J Geodyn 59(60):99-110, 2012, doi:10.1016/j.jog.2011.07.0069; Becker in Konsistente Kombination von Schwerefeld, Altimetrie und hydrographischen Daten zur Modellierung der dynamischen Ozeantopographie, 2012, http://nbn-resolving.de/nbn:de:hbz:5n-29199). Within this combination method, the full spectral range of the observations is considered. Further, it allows the direct determination of the normal equations (i.e., the inverse of the error covariance matrix) of the mean dynamic topography on arbitrary grids, which is one of the requirements for ocean data assimilation. In this paper, we report progress through selection and improved processing of altimetric data sets. We focus on the preprocessing steps of along-track altimetry data from Jason-1 and Envisat to obtain a mean sea surface profile. During this procedure, a rigorous variance propagation is accomplished, so that, for the first time, the full covariance matrix of the mean sea surface is available. The combination of the mean profile and a combined GRACE/GOCE gravity field model yields a mean dynamic topography model for the North Atlantic Ocean that is characterized by a defined set of assumptions. We show that including the geodetically derived mean dynamic topography with the full error structure in a 3D stationary inverse ocean model improves modeled oceanographic features over previous estimates.

EOT11a - Global Empirical Ocean Tide model from multi-mission satellite altimetry, with links to model results

EOT11a is a global (E)mpirical (O)cean (T)ide model derived in 2011 by residual analysis of multi-mission satellite (a)ltimeter data. EOT11a includes amplitudes and phases of the main astronomical tides M2, S2, N2, K2, 2N2, O1, K1, P2, and Q1, the non-linear constituent M4, the long period tides Mm and Mf, and the radiational tide S1. Ocean tides as well as loading tides are provided. EOT11a was computed by means of residual tidal analysis of multi-mission altimeter data from TOPEX/Poseidon, ERS-2, ENVISAT, and Jason-1/2, as far as acquired between September 1992 and April 2010. The resolution of 7.5'x7.5' is identical with FES2004 which was used as reference model for the residual tide analysis. The development of EOT11a was funded by the Deutsche Forschungsgemeinschaft (DFG) under grant BO1228/6-2.