Sentence examples for tissue divergence from inspiring English sources

Virus from lung was seldom more or less divergent than blood within subjects; lung was significantly more diverged than one blood tissue in two subjects, and significantly less diverged in four subjects, while there was no difference between lung divergence and any blood tissue divergence when divergence values from all subjects were pooled.

However, tissue divergence into characteristic phenotypes involves suits of genes, coregulated in their spatiotemporal expression, often through shared flanking regulatory mechanisms.

This difference in results may be due to a difference in power; tissue divergence exceeds species divergence, with tissue differences explaining the majority of variance in miRNA expression (fig. 1 c ).

Divergence between tissues explained 65% of the miRNA expression variance, whereas differences between species explained around 11% (fig. 1 c ). Expression differences in brain explained the highest fraction of the tissue variance (41%) followed by differences in heart (20%), liver (16%), kidney (14%,) and testis (9%) (fig. 1 d ).

Both of these tissues show higher divergence within rat non-homologous tissue comparisons as well as between homologous rat-mouse comparisons.

Both adult only and testes tissue shows significant divergence from the whole-genome averages along the A. fragilis branch (Mann Whitey P < 0.004), and the overall trends are consistent with the tissue-specific estimates of ω (figs. 4 A and 7 A ).

In tissue, the beam divergence is expected to be smaller according to Snell's law for both visible and near-IR wavelengths because the refractive index on the output side increases to n = 1.34.

This was not surprising considering that ED was correlated across tissues (e.g., for brain and heart: rho = 0.55, P < 10−), possibly due to similar constraints on gene expression across tissues or a spillover effect, where negative or positive selection on gene expression in a specific tissue also affects divergence in other tissues due to shared regulatory elements.

To explore this hypothesis further, we directed our analysis towards tissue-specific expression divergence and its relationships to DNA binding site motif similarity.

Consequently, we have chosen the more appropriate but conservative Kendall's tau to measure correlation between the tissue-specific expression divergence (∂E) and DNA binding site motif similarity (§B).

Regardless, it is apparent that there has been tissue-specific functional divergence of UCP1 in BAT.