Sentence examples for expression states that from inspiring English sources
Epigenetic phenomena reflect alternative gene expression states that are maintained through multiple rounds of mitosis, and sometimes through meiosis.
We have shown that the size of a k-function's latent repertoire depends only on the number of unique expression states that occur in the k-function.
The central dogma of gene expression states that information moves from DNA to RNA to protein, where mRNA translation represents a final step in protein expression.
Additionally, this rapid development is precisely coordinated through expression states that are predictable within the in vitro setting over 48 h [ 3, 4].
First, by arbitrarily dividing read coverage values of genes into several bins, the earlier HMM [ 94] contains multiple expression states that are not directly connected, thus in principle it cannot assemble transcripts with highly non-uniform coverage.
Within the context of our 11 gene HSPC network topology, several expression states that correspond to the differentiated cell types shown in Figure 3 can automatically revert to the stem cell state, suggesting a potential for spontaneous reversion of differentiated cells to the immature stem cell phenotype (details in Supplementary Table S3).
Thus, the majority of ES cells overexpressing Prdm14 reside within the Rex1-high expression state that indicates naive pluripotency (supplementary Fig S3D online).
An expression state that is not influenced by constant inputs thanks to adaptation is robust with respect to the ubiquitous cell-to-cell variability in TF concentrations, but it is still responsive to signals that induce dynamical variations of TF levels.
The tree is reduced whenever one of the branches of a node is a constant value, but it is not further simplified; therefore, we may end up with an awareness expression stating that ce.precision >"Low"& ce.precision >"Medium", which could be simplified further to ce.precision >"Medium".
The Kronecker-delta expressions state that cells only secrete MMPs at the lattice sites they cover, while the ECM is only degraded outside the cells.
In his article 'Emotions revealed: recognising facial expressions' Paul Ekman states that recognising facial expressions, including the less obvious facial micro-expressions of patients may be useful to a doctor in their interactions [ 2].
