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To understand the functional implications that these gene expression changes may have, they were classified by function (Fig. 1C, S2).
Experimental systems where major reorganization of nuclear architecture can be induced under defined conditions, may help to better understand the functional implications of such changes.
To understand the functional implications of such feedback loops, which are interlocked via cross-regulation of transcription, a minimal model with a positive and negative loop was developed and investigated using bifurcation analysis.
To understand the functional implications of the differences among the tumor subgroups we used Metacore, a software suite for integrated functional analysis of the gene expression data [16].
To fully understand the functional implications of probiotic supplementation, parallel microbial consortium and host response gene expression analyses in clearly defined groups of probiotic or placebo supplemented infants are necessary.
To better understand the functional implications of these mutations, a variety of biochemical and cellular assays, as well as computational methods, have been developed to assess the impact of the individual mutations.
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While the classification, based on the most common functional domains from the kinome, is very similar to the classical taxonomy it would also be interesting to try and understand the functional and evolutionary implications of the rare domains appearing only in a certain phyla or fungal species.
To achieve these goals, further studies are needed to understand the functional roles and clinical implications of LEF1, SPP1 and other signature genes for CLM.
GLUT1 nuclear expression was found at a low frequency and with no implications in prognosis; however, further studies are required to understand the functional role of GLUT1 in this cellular compartment.
To better understand the broader functional implications of these findings, we performed pathway enrichment analysis using the MetaCore software package (http://portal.genego.com/).
In order to better understand the potential functional implications of the differential methylation of all the sites affected, genes with differential methylation status of CpG sites within their promoter regions were functionally classified using the DAVID and FunNet software.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com