Suggestions(1)
Exact(1)
In Rb-deficient hepatocytes, although E2F activity is elevated [ 30], we found using gene expression array (see methods) that expression of p107 and p130 were increased (2.1, 2 and 3.1 fold for p107; 1.1, 1.1 and 1.4 fold for p130 at 48, 72 and 96 hours after plating).
Similar(59)
A drawback with these methods is that expression heterogeneity in the tumor might lead to false-negative findings.
To solve these limitations, we developed a series of expression vectors based on the pFuse expression system (commercially available from InvivoGen, see materials and methods) that allow expression of scFv in fusion with natural Fc regions.
We focus here only on competitive or parametric methods that compare expression in G and in G C, such as Q1, GSA, GSA2, GSEA, SAFE, PAGE and PAR Wilcoxon (Tables 1 and 2).
The functional significance of the genetic differences of these cell lines can be assessed by means of positional expression profiling methods that compare the expression data generated by oligonucleotide microarrays based upon chromosomal position (Harding et al, 2002).
Dever et al. used this method to determine that expression of the K1702M mutant was associated with elevated recombination compared to wild-type BRCA1, indicating that the K1702M mutant disrupts critical negative regulation of recombination [ 4].
Neural expression patterns are usually studied using methods that average expression values over a brain region, and this averaging removes fine-resolution spatial information that may differentiate between brain regions.
Several approaches have been developed for miRNA target prediction, including methods that incorporate expression profiling.
In a survey of methods that estimate differential expression, Smyth [37] showed that empirical Bayes improves specificity while having very little effect on sensitivity.
Conventional methods that use gene expression to quantify biological processes must use a single gene or a set of well-correlated genes, but solving a system of gene expression equations surmounts this limitation.
Advances in imaging technology and the development of methods that allow gene expression to be tracked in real time in single cells now make it possible to address these types of questions [32], [33].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com