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By comparing transcriptome profiles using microarray of dAda2b and dAda2bS transgene-carrier dAda2b larvae, we found that dADA2bS expression alone altered specific mRNA levels to different extents.
We hypothesize that the meiosis-specific genes can be identified by comparing transcriptome profiles of meiocytes and anthers with seedling controls.
Such inter-database computational analyses offers now the potential to unravel genes specifically involved in hydrostatic pressure and chemosynthetic environmental adaptations by comparing transcriptome profiles from two closely related Mytilid family members living in very distinct marine habitats.
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A high density 23 k long-oligo apple array was designed by Zhu et al. [ 19] to compare transcriptome profiles between two cultivars with contrasted firmness and crispness phenotypes at harvest.
Xu et al. [ 26] compared transcriptome profiles that were generated by Illumina RNA-Seq and Affymetrix microarray platforms, and their results suggested that RNA-Seq is more advantageous for detecting genes with low-level expression compared with microarrays.
In search of commonality in the early transcriptional response to injuries and/or BBB dysfunction, we compared transcriptome profiles of the peri-infarct hippocampi and undercut cortices with three models for BBB dysfunction –BBB disruption induced by sodium deoxycholate (DOC) and direct cortical exposure to serum albumin or TGFβ1.
In this study, we compared transcriptome profiling by RNA sequencing (RNA-Seq) and identified differentially expressed genes (DEGs) in a rice introgression line (IL) H471 compared with its parents.
The hydrolase secretory capacity of A. niger was also investigated by comparing transcriptomes in response to different carbon sources such as xylose or maltose, which revealed the transcriptional regulation profile of the secretory pathways and reflected a general modulation mechanism on the secretion capacity of extracellular hydrolases in A. niger (Jørgensen et al. 2009).
As FAT10 was clearly the most highly up-regulated gene (85.7 fold) in this transcriptome profile (supplementary material Table S1), we proceeded to identify the common genes and pathways from cells treated with TI and cells with over-expression of the FAT10 gene by comparing this transcriptome profile with the transcriptome profile of HCT116 cells with over-expression of the FAT10 gene.
Estrogen-responsive genes were determined by comparing whole transcriptome profiles of male zebrafish treated with vehicle (control group), E2 and E2+ICI using SAM analysis (Significant Analysis of Microarrays; see [ 19]).
The objective of the present study was to identify the "cumulative errors" on global gene expression, caused by serial rounds of chromatin transfer, by comparing the transcriptome profile of IVF derived blastocysts to that of SCCT derived blastocysts from the first and fourth rounds of cloning (CT1 and CT4) using oligonucleotide microarray analysis (Affymetrix Bovine GeneChips).
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