Cryopreservation of Endothelial Cells in Various Cryoprotective Agents and Media – Vitrification versus Slow Freezing Methods

Vitrification of endothelial cells (MHECT-5) has not previously been compared with controlled slow freezing methods under standardized conditions. To identify the best cryopreservation technique, we evaluated vitrification and standardized controlled-rate -1°C/minute cell freezing in a -80°C freezer and tested four cryoprotective agents (CPA), namely dimethyl sulfoxide (DMSO), ethylene glycol (EG), propylene glycol (PG), and glycerol (GLY), and two media, namely Dulbecco''s modified Eagle medium Ham’s F-12 (DMEM)and K⁺-modified TiProtec (K⁺TiP), which is a high-potassium-containing medium. Numbers of viable cells in proliferation were evaluated by the CellTiter 96® A_Queous One Solution Cell Proliferation Assay (Promega Corporation, Mannheim, Germany). To detect the exact frozen cell number per cryo vial, DNA content was measured by using Hoechst 33258 dye prior to analysis. Thus, results could be evaluated unconstrained by absolute cell number. Thawed cells were cultured in 25 cm² cell culture flasks to confluence and examined daily by phase contrast imaging. With regard to cell recovery immediately after thawing, DMSO was the most suitable CPA combined with K⁺TiP in vitrification (99 ±0.5%) and with DMEM in slow freezing (92 ±1.6%). The most viable cells in proliferation after three days of culture were obtained in cells vitrificated by using GLY with K⁺TiP (308 ±34%) and PG with DMEM in slow freezing (280 ±27%).     

Functional identification of biological neural networks using reservoir adaptation for point processes

The complexity of biological neural networks does not allow to directly relate their biophysical properties to the dynamics of their electrical activity. We present a reservoir computing approach for functionally identifying a biological neural network, i.e. for building an artificial system that is functionally equivalent to the reference biological network. Employing feed-forward and recurrent networks with fading memory, i.e. reservoirs, we propose a point process based learning algorithm to train the internal parameters of the reservoir and the connectivity between the reservoir and the memoryless readout neurons. Specifically, the model is an Echo State Network (ESN) with leaky integrator neurons, whose individual leakage time constants are also adapted. The proposed ESN algorithm learns a predictive model of stimulus-response relations in in vitro and simulated networks, i.e. it models their response dynamics. Receiver Operating Characteristic (ROC) curve analysis indicates that these ESNs can imitate the response signal of a reference biological network. Reservoir adaptation improved the performance of an ESN over readout-only training methods in many cases. This also held for adaptive feed-forward reservoirs, which had no recurrent dynamics. We demonstrate the predictive power of these ESNs on various tasks with cultured and simulated biological neural networks.     

Models of cortical networks with long-range patchy projections

The cortex exhibits an intricate vertical and horizontal architecture, the latter often featuring spatially clustered projection patterns, so-called patches. Many network studies of cortical dynamics ignore such spatial structures and assume purely random wiring. Here, we focus on non-random network structures provided by long-range horizontal (patchy) connections that remain inside the gray matter. We investigate how the spatial arrangement of patchy projections influences global network topology and predict its impact on the activity dynamics of the network. Since neuroanatomical data on horizontal projections is rather sparse, we suggest and compare four candidate scenarios of how patchy connections may be established. To identify a set of characteristic network properties that enables us to pin down the differences between the resulting network models, we employ the framework of stochastic graph theory. We find that patchy projections provide an exceptionally efficient way of wiring, as the resulting networks tend to exhibit small-world properties with significantly reduced wiring costs. Furthermore, the eigenvalue spectra, as well as the structure of common in- and output of the networks suggest that different spatial connectivity patterns support distinct types of activity propagation.     

Cyclic changes of plasma spermine concentrations in women

Based on previous studies which suggest that blood polyamines fluctuate during the menstrual cycle, the present study was set to determine whether plasma concentrations of the polyamine spermine show menstrual cycle-associated changes and if so, how these changes relate to phasic variations in other female hormones. Blood samples were collected from a group of 9 healthy women of various ages at 5 defined periods during their menstrual cycle including 1 woman on oral contraceptives. Spermine concentrations were determined in plasma acid extracts by reversed-phase high performance liquid chromatography method. Plasma estradiol, LH and FSH were measured by microparticle enzyme immunoassay using an automatic analyzer. Spermine concentrations, 104.4 +/- 12.2 nmol/ml at 1-3 day of the cycle, were increased transiently with a peak (263.8 +/- 22.1 nmol/ml) at 8-10 day and declined to 85.4 +/- 29.8 nmol/ml by 21-23 day of the cycle. The peak spermine concentrations coincided with the first increase in plasma estrogen levels. The individual variations in the temporal profile of spermine concentrations were of similar magnitude as individual differences in other female hormones. We conclude that: a) Plasma spermine concentrations undergo distinct cyclic alterations during the menstrual cycle with peak concentrations coinciding with the first estradiol increase, and b) Peak plasma spermine concentrations occur during the follicular phase, just prior to ovulation, during the period of rapid endometrial growth.     

Distribution of Orientation Selectivity in Recurrent Networks of Spiking Neurons with Different Random Topologies

Neurons in the primary visual cortex are more or less selective for the orientation of a light bar used for stimulation. A broad distribution of individual grades of orientation selectivity has in fact been reported in all species. A possible reason for emergence of broad distributions is the recurrent network within which the stimulus is being processed. Here we compute the distribution of orientation selectivity in randomly connected model networks that are equipped with different spatial patterns of connectivity. We show that, for a wide variety of connectivity patterns, a linear theory based on firing rates accurately approximates the outcome of direct numerical simulations of networks of spiking neurons. Distance dependent connectivity in networks with a more biologically realistic structure does not compromise our linear analysis, as long as the linearized dynamics, and hence the uniform asynchronous irregular activity state, remain stable. We conclude that linear mechanisms of stimulus processing are indeed responsible for the emergence of orientation selectivity and its distribution in recurrent networks with functionally heterogeneous synaptic connectivity.     

Abelson murine leukemia virus-induced tumors elicit antibodies against a host cell protein, P50.

When BALB/c mice were injected with a syngeneic cell line transformed by Abelson murine leukemia virus (A-MuLV), the tumor was usually lethal. In sera from tumor-bearing mice, and at highest levels in sera from mice that reject their tumors, was an antibody that immunoprecipitates a specific protein from [35S]-methionine-labeled A-MuLV-transformed BALB/c cells. This protein was not the previously characterized A-MuLV-specific protein (P120) but a 50,000-molecular-weight protein (P50). Such sera may also immunoprecipitate P120, but no other protein was reproducibly precipitated by them. A monoclonal antibody (RA3-2C2) that has been shown to stain normal B-lymphocytes also selectively immunoprecipitated P50. P50 was present in A-MuLV-transformed lymphoid and fibroblastic cells of a variety of mouse strains. One A-MuLV-transformed cell line had a very low P50 level, the L1-2 tumor of C57L origin. This tumor was previously shown to be rejected by C57L mice and is used to produce anti-P120 (anti-AbT) sera. P50 was not a Moloney MuLV protein and was found at low levels in normal cells of cells transformed by agents other than A-MuLV; thus, it was probably a host cell protein whose concentration was selectively accentuated by A-MuLV transformation. P50 was phosphorylated and, by using indirect immunofluorescence, anti-P50 serum stained live A-MuLV-transformed cells. The protein was not glycosylated and did not label by lactoperoxidase-catalyzed iodination. Thus, P50 was very like P120 in its cellular localization and properties, but it did not exhibit proptein kinase activity in vitro. The selective accentuation of this protein in A-MuLV transformants and its strong antigenicity in syngeneic animals suggest that it is a unique and functionally important protein.     

Accumulation of wild-type p53 protein upon gamma-irradiation induces a G2 arrest-dependent immunoglobulin kappa light chain gene expression.

The exposure of cells to DNA-damaging agents leads to the accumulation of wild-type p53 protein. Furthermore, overexpression of the wild-type p53, mediated by transfection of p53-coding cDNA, induced cells to undergo apoptosis or cell differentiation. In this study we found that the gamma-irradiation that caused the accumulation of wild-type p53 in 70Z/3 pre-B cells induced, in addition to apoptosis, cell differentiation. This was manifested by the expression of the kappa light chain immunoglobulin gene that coincided with the accumulation of cells at the G2 phase. Overexpression of mutant p53 in 70Z/3 cells interferes with both differentiation and accumulation of cells at the G2 phase, as well as with apoptosis, which were induced by gamma-irradiation. Furthermore, the increment in the wild-type p53 protein level following gamma-irradiation was disrupted in the mutant p53 overproducer-derived cell lines. This suggests that mutant p53 may exert a dominant negative effect in all of these activities. Data presented here show that while p53-induced apoptosis is associated with the G1 checkpoint, p53-mediated differentiation, which may be an additional pathway to escape the fixation of genetic errors, may be associated with the G2 growth arrest phase.     

Inhibition of mushroom tyrosinase by tropolone

Tropolone inhibits both mono- and o-dihydroxyphenolase activity of mushroom tyrosinase. Most of the inhibition exerted by tropolone was reversed by dialysis or by excess CU²⁺. The data indicate that tropolone and o-dihydroxyphenols compete for binding to the copper at the active site of the enzyme. Comparison between the effectiveness of various copper chelators showed that tropolone is one of the most potent inhibitors of mushroom tyrosinase; 50% inhibition was observed with 0.4 × 10^?6 M tropolone.