Sentence examples for scarce expression from inspiring English sources

The scarce expression of endogenous Itk in resting Jurkat T cells (Fig. 1A), suggests that endogenous Itk levels may be a limiting factor when transiently expressing TSAd alone.

As revealed by the EYFP fluorescence, dense axonal expression of eNpHR was observed throughout the sSC layers, although intermittently dense and scarce expression regions were detected, suggesting that the expression level was not homogenous over the retina (Fig. 1E).

However, only scarce expression was found in the dentate gyrus of the hippocampus and in the striatum, and expression in the cortex was highly mosaic.

The absence or scarce expression of the two other common fimbrial subunits (Flf1A and Flf3A) indicates that their expression may require other in vitro or in vivo conditions.

CHS1, CHI1, F3H1, F3′H1, DFR1, and LDOX1/LDOX2 genes were strongly correlated with the presence of anthocyanins, as indicated by high gene expression levels in the taproots of purple carrot cultivars but no or scarce expression in the taproots of non-purple carrot cultivars.

According to these histological characteristics, the differentiation marker keratin K1 was widely expressed in the 6-day H-CYLDWT skin equivalents, whereas there was scarce K1 expression in 6-day-H-control organotypic cultures.

Yet Cuba incorporates the arts in the educational life of children, and in a country where material pleasures are scarce, personal expression energizes its people.

In contrast, only scarce UNC5H expression was observed in the embryonic VTA (mouse: Fig. 2; rat: Fig. S2).

However, most T cells circulating in the peripheral blood are in a quiescent state [ 26], with scarce gene expression activity [ 27].

Knowledge of the transcriptional regulators of the identified clusters mir-302 367 mir-302 367–373 is scande, although expression of these clusters was associated with overexpression of the transcription factors TEAD4 and SOX17 (168).

Finally, a keynote by Eric Xing (Carnegie Mellon University) presented TREEGL [ 35], an approach based on ℓ1-penalized linear regression, capable of reconstructing the evolution of a gene network from relatively scarce gene expression data.