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Noise, however, induces frequent jumps between the two stable concentration levels [5] and prevents the cell from making any stable decision between the two cellular states.
The quantity of gene expression differences between the two cellular populations, and among the hiPSCs themselves, could account for incomplete reprogramming.
Along similar lines, the nucleoskeletal hypothesis posits that optimal cellular function would require a rather constant nucleo/cytoplasmic (karyoplasmic) ratio ensuring an optimal exchange between the two cellular compartments.
If the pathways that determine cell morphology also influence TN-C gene expression, we might expect a strong correlation between the two cellular parameters in each cell.
Because alkaline growth conditions increase vacuolar pH more than cytosolic pH [ 58, 59], they effectively reduce the pH gradient between the two cellular compartments.
Highly significant (p < 0,001) correlations were also established between the two cellular proliferation markers and histological grade, tumour necrosis and epidermal ulceration.
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Interestingly, if the functional partnership between neurons and astrocytes is suppressed via the zeroing of neurotransmission, the anticorrelation between glycolysis in the two cellular compartments further increases (i.e. correlation becomes more negative), a feature shared with many other fluxes related to energetics, including TCA cycle and oxidative phosphorylation.
However, the average expression of PyMT in tumors was not significantly different between tumors arising from the four cellular origins (Fig. 1g) [ 12].
The trigger between these two cellular states is regulated by growth or nutritional factors, through associated specific secondary mediators in a so-called growth-signaling network (Saucedo and Edgar 2002; Marion et al. 2004; Guertin and Sabatini 2005).
The slight differences between these two cellular populations could be attributed to viral insertions in the genome or incomplete genetic reprogramming.
The separation of the arrays into the correct experimental groups based on the gene expression profiles indicates that the pattern of gene expression is indeed different between these two cellular groups and that it is captured in the array expression profiles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com