We calculated the distances between any two cells based on their correlation coefficients and mapped the ten cells onto a 2-dimensional Euclidean space using the technique of multidimensional scaling (MDS).
Hence, by applying the force-balancing principle, we can derive the forces transmitted between two cells based on traction force measurements of the cells within those clusters.
The heterogeneity in both size and shape of the cells makes it difficult to assign a distance between two cells based on the location of the nucleus.
As seen in Table 1, there are differences between the two cell-based assays employed, including the reporter, cell lineage (monoclonal vs. polyclonal), number of ARE sequences located in the enhancer regions and their orientation, and basal promoter.
One main difference between the two cell-based models is that the ARE sequence for the ARE- bla line is derived from the NQO1 gene, whereas the ARE sequence for the ARE- luc line is derived from the heme oxygenase (decycling) 1 gene (HMOX1).
Raman spectra displayed differences between the two cell lines based on proteins and lipid signals due to malignancy [ 54].
Lastly, based on our EMSA results, we observed no obvious difference in the formation of the probe/protein complexes between the two cell subsets.
*indicates significant difference between the two cell types (p < 0.05).
Is this how one thinks, this place where there is chemical communication between the two cells, I wondered?
Our results eliminate most of the contradictions between previous in vitro and cell based studies and allow us to classify the somatic H1 subtypes into three categories based on their chromatin compacting properties.
Here we use both approaches, and specify how to differentiate between the two based on cell data.
