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As currently configured, DNA microarray technology also requires high quality RNA.
Microarray technology also offers the ability to investigate changes in gene expression resulting from the overexpression of single oncogenes commonly found in breast cancer.
The use of gene profiling and microarray technology also allows for identification of new subsets of breast cancer with distinct biology and prognosis.
Microarray technology also revealed that photobiomodulation by light at 670 nm induced a significant up-regulation of gene expression in pathways involved in mitochondrial energy production and antioxidant cellular protection [ 37].
Son et al. (2012), using microarray technology, also demonstrated gradients of gene expression in the adult and developing mouse cochlea, a subset of which (approximately 5% of those genes assayed) exhibited clear spatial and temporal variations in expression along the cochlear duct.
This is probably due to the more sensitive and comprehensive nature of RNA-seq and the increased sensitivity in algorithms to extract rhythmicity, although microarray technology also identified thousands of ccgs with an increased time resolution in the sampling interval (every one vs 4 h).
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Previously, microarray technology was also applied on serial synovial biopsies in a study of 10 RA patients to investigate the effects of infliximab treatment on the transcriptional profile with promising results [17].
DNA microarray technology has also provided numerous biological insights.
31 SNP microarrays are applications of microarray technology that also provide genome-wide copy number analysis.
The use of microarray technology is also expensive, both in amount of tumour material required and reagent costs.
Microarray technology is also used to screen the expression levels of thousands of genes, i.e., the transcriptome [ 4, 5].
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