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The objective of this study was to investigate radiation-induced late changes in cutaneous gene expression using a microarray platform and quantitative, real-time, reverse-transcriptase polymerase chain reaction (RT-PCR) validation.
Here, we take advantage of the natural variation of sweet and grain sorghum to uncover genes that are conserved in rice, sorghum, and sugarcane but differently expressed in sweet versus grain sorghum by using a microarray platform and the syntenous alignment of rice and sorghum genomic regions containing these genes.
We investigated miRNA expression profiles in cervical cancer using a microarray platform containing probes for mature miRNAs.
We have compared miRNA profiles of early versus senescent MSCM1 passages using a microarray platform based on locked nucleic acids (miCHIP) [29].
Among various factors that could affect expression profiling using a microarray platform, single nucleotide polymorphisms (SNPs) in target mRNA may lead to reduced signal intensity measurements and result in spurious results.
Our gene expression profile analysis of the larval developmental stages was performed using a microarray platform.
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We used a microarray platform designed for formalin-fixed, paraffin-embedded (FFPE) tissue specimens, the Affymetrix OncoScan FFPE Express 330K Molecular Inversion Probe (MIP) array, to explore the correlation between genomic imbalances detected by microarray and FOXL2 mutation status detected by pyrosequencing in a series of 21 archived AGCTs.
Here, we used a microarray platform in Drosophila serrata to measure 11,604 gene expression phenotypes.
We used a microarray platform to survey the daily levels of D. melanogaster miRNAs in adult heads of wildtype flies and the arrhythmic clock mutant cyc.
We used a microarray platform of 60mer MUC1 glycopeptides, to confirm the presence of autoantibodies to cancer associated glycoforms of MUC1 in a proportion of early breast cancer patients (54/198).
Since Lu et al. [ 2] used a microarray platform that interrogated the entire genome, as opposed to a brain specific platform used in Colantuoni et al. [ 6], the ability of our method to identify many DV genes to have known roles in various neurological processes further reinforces the importance of identifying DV genes when performing microarray analysis.
More suggestions(15)
using a microarray assay
using a microarray spotter
using a fund platform
using a Fog platform
using a microarray approach
using a web platform
using a microarray time-course
using a hardware platform
using a teleoperation platform
using a force platform
using a crowdfunding platform
using a microarray image
using a simulation platform
using a microarray reader
using a truxene platform
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