7 normal cervical samples (HPV-), 9 CIN I samples (HPV+), and 8 CIN III samples (HPV+) were conducted with miRNA and mRNA expression microarray analysis, respectively.
Cyp1a1 exhibited a 771- and 82-fold induction, while Sult3a1 was repressed 100- and 25- fold by RNA-Seq and microarray analysis, respectively.
In this article we study the effect of As3+ exposure on the transcription profile of zebrafish embryos at 24 and 48 hpf by QPCR and microarray analysis, respectively.
There was a significant Pearson correlation of 0.87 (p < 0.01) for the expression values of 19 genes tested by the two methods RT-qPCR and microarray analysis, respectively.
Nearly all of the RNA extracted from blood, spleen, kidney and larvae samples by these two kits contained RNA of acceptable quantity (1 and 5 μg total RNA for NGS and microarray analysis, respectively) and quality (RIN values ≥7).
We performed genome-wide joint analysis of DNA methylation, genomic stability and gene transcription based on the three levels of global features revealed by MMSDK, aCGH and gene expression microarray analysis, respectively.
AV and AW performed the modeling and microarray data analysis, respectively.
In this investigation, we examined the presence of high-risk HPVs (16, 18, 31, 33 and 35) and the expression of their E6 onco-protein as well as their correlation with Id-1 gene expression, using polymerase chain reaction (PCR) and tissue microarray (TMA) analysis, respectively, in a cohort of 113 Syrian breast cancer patients.
We are grateful to Y. Tosa, T. Kurihara, Y. Yamauchi, K. Kawaura and F. Kobayashi for technical support of detection of autofluorescence, use of the energy-filtered transmission electron microscope, evaluation of photosynthesis activity, microarray analysis and genetic mapping, respectively.
The differentially expressed genes that were common to both platforms and displayed the same direction of expression, represent 47.8% (i.e. 964/2,015 genes) and 37.3% (i.e. 964/2,584 genes) of all differentially expressed genes detected by microarray and RNA-seq analysis, respectively.
Three genes encoding PFOR (PFOR-A, BI and BII) displayed the highest upregulation observed in the microarray analysis (4.01, 3.71, and 3.64, respectively), and also had high upregulation scores determined by the EST analysis (32, 18, and 9, respectively) (supplementary table S2 a and c, Supplementary Material online).
