2 resultados para In-loop-simulations
em DigitalCommons@The Texas Medical Center
Resumo:
The discovery of grid cells in the medial entorhinal cortex (MEC) permits the characterization of hippocampal computation in much greater detail than previously possible. The present study addresses how an integrate-and-fire unit driven by grid-cell spike trains may transform the multipeaked, spatial firing pattern of grid cells into the single-peaked activity that is typical of hippocampal place cells. Previous studies have shown that in the absence of network interactions, this transformation can succeed only if the place cell receives inputs from grids with overlapping vertices at the location of the place cell's firing field. In our simulations, the selection of these inputs was accomplished by fast Hebbian plasticity alone. The resulting nonlinear process was acutely sensitive to small input variations. Simulations differing only in the exact spike timing of grid cells produced different field locations for the same place cells. Place fields became concentrated in areas that correlated with the initial trajectory of the animal; the introduction of feedback inhibitory cells reduced this bias. These results suggest distinct roles for plasticity of the perforant path synapses and for competition via feedback inhibition in the formation of place fields in a novel environment. Furthermore, they imply that variability in MEC spiking patterns or in the rat's trajectory is sufficient for generating a distinct population code in a novel environment and suggest that recalling this code in a familiar environment involves additional inputs and/or a different mode of operation of the network.
Resumo:
Cell growth and differentiation are complex and well-organized processes in which cells respond to stimuli from the environment by carrying out genetic programs. Transcription factors with helix-loop-helix (HLH) motif play critical roles in controlling the expression of genes involved in lineage commitment, cell fate determination, proliferation and tumorigenesis. This study has examined the roles of GCIP (CCNDBP1) in cell differentiation and tumorigenesis. GCIP is a recently identified HLH-leucine zipper protein without a basic region like the Id family of proteins. However, GCIP shares little sequence homology with the Id proteins and has domains with high acidic amino acids and leucine-rich regions following the HLH domain like c-Myc. Here we firstly demonstrate that GCIP is a transcription regulator related to muscle differentiation program. Overexpression of GCIP in C2C12 cells not only promotes myotube formation but also upregulates myogenic differentiation biomarkers, including MHC and myogenein. On the other hand, our finding also suggests that GCIP is a potential tumor suppressor related to cell cycle control. Expression of GCIP was significantly down-regulated in colon tumors as compared to normal colon tissues. Overexpression of GCIP in SW480 colon cancer cell line resulted in a significant inhibition on tumor cell colony formation on soft agar assays while silencing of GCIP expression by siRNA can promote cell proliferation and colony formation. In addition, results from transgenic mice specifically expressing GCIP in liver also support the idea that GCIP is involved in the early stage of hepatocarcinogenesis and decreased susceptibility to chemical hepatocarcinogenesis. ^