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In addition, a number of LSGs present highly tissue-specific expression revealed by microarray experiment on different developmental stage of Arabidopsis.
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Paired samples from lesional (PP) and non-lesional (PN) tissues were extracted and gene expression was measured by microarray experiments on the Affymetrix HU133 Plus 2.0 platform.
The first set contained 689 TFBS-clustered functional regions based on chromatin immunoprecipitation followed by microarray experiments for 29 transcription factors [ 22].
Functional data on OCT4 regulatory action is available from heterogeneous sources: to reveal DNA-Protein binding events of OCT4, SOX2 and of the pluripotency associated TF NANOG, chromatin immuno-precipitation followed by microarray experiments (ChIP-on-chip) has been performed using hESCs [ 12].
Similar observations were recently highlighted by microarray experiments conducted on sporadic colorectal carcinoma tissues showed upregulation of E2F5 genes during malignancy [ 50, 51].
Ubiquitously expressed genes were obtained from the result of a recent large scale microarray experiment on human gene expression patterns by Su et al. [ 33].
The classification accuracy of cancer vs. normal tissue is essentially equivalent to the results obtained by microarray experiments, even when performed on bulk-dissected tissues.
This was done on (blood-derived) gene expression data generated by microarray experiments at our laboratory (Gene Expression Omnibus, GEO, accession number: GSE11947) [ 35].
Such data confirmed the results obtained by microarray experiments.
For example, in the statistical approach developed by Xing et al. [ 26], transcriptional regulatory interactions were identified by analyzing 46 TFs and 658 microarray experiments on yeast gene expression at various conditions.
Pooled RNA samples have been used successfully by the authors in previous M. oryzae microarray experiments on both nitrogen-limitation and appressorial formation [ 6, 17].
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