Sentence examples for observing expression from inspiring English sources

Exact(3)

The peripheral senescent cells of nodules may contribute for dilution effects when observing expression of genes and metabolites levels in the growing parts of nodules because nodules were not isolated from the peripheral tissues for sampling.

While this study has been in preparation, Krencik et al. described the use of LIF/CNTF-mediated astrocyte differentiation from HESC-derived neural aggregates over 180 days, observing expression of astrocyte-specific markers including GFAP/S100 β and glutamate uptake among other characterisation.

Genes were validated by observing expression in B. schlosseri cDNAs and gDNA via PCR and qPCR assays and resequencing them on Sanger.

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The variability detected between samples in these experiments is likely to reflect the high sensitivity of some individual proteins (as is evident when observing dynamic temporal expression profiles in Fig.  3) to subtle differences in the rate of disease progression observed between animals.

Microarrays are a useful technology for observing differences in gene expression and data extracted from microarrays can be reliably reproduced.

At the genetic level, interactions between active nodes involve mutating the gene for an upstream SSTF and observing changes in the expression of a target SSTF.

The resistant response in NIL2 appears delayed when observing dynamics of gene expression for four closer characterized gene families.

Finally, it is worth noting that our networks of coexpressed genes populate functionally related coexpression mounts as expected [ 9], indicating that we are not simply observing random noise in expression variation.

Furthermore, these methods of observing spatiotemporal patterns of gene expression do not prove a causal relationship between gene expression and phenotype (Hoekstra and Coyne 2007).

In Chapter VI, von Neumann (1955) discussed the conceptual distinction between observed and observing system.

These methods enable researchers to identify significantly changed biological themes and pathways from gene expression data by observing changes in expression using pre-defined gene sets [ 21, 22].

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