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The results of the microarray analysis used in this study (series number: GSE31196) are available at the NCBI-GEO (Edgar et al. 2003).
Here, we describe the experimental design, methodology, and data validation for the microarray analysis used to characterize the transcriptome profile of iHCs at different stages of their differentiation.
The microarray analysis used female adult mosquitoes collected at days 1, 4, 10, 19 and 28 post pupal emergence.
The outputs of microarray analysis used in this study (series number GSE24937) are available at NCBI-GEO [69].
The methods of DNA microarray analysis used are detailed at and in the previous report [ 10].
The outputs of microarray analysis used in this study (series no. GSE30463) is available at NCBI GEO [ 64].
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This database contains microarray data of 40 different experimental conditions obtained through microarray analysis using the same custom microarray chip as described in this manuscript.
In order to understand gene expression changes in rice leaves undergoing a ClsA-induced HR, we performed microarray analysis using the Affymetrix GeneChip rice genome array.
In 2015, Pfeffer et al. performed a microarray analysis using RNA prepared from plasma-derived EVs and validated the candidate miRNAs.
The results of our DNA microarray analysis using three strains showed increased expression ratios under heat conditions for FMP21, YER034W and PRM5.
To clarify the onset of Fe deficiency, changes in gene expression were examined by microarray analysis using rice roots at 3, 6, 9, 12, 24, and 36 h after the onset of Fe-deficiency treatment.
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