cdna microarray analysis (TaKaRa)
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Cdna Microarray Analysis, supplied by TaKaRa, used in various techniques. Bioz Stars score: 94/100, based on 545 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 94 stars, based on 545 article reviews
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1) Product Images from "A Dominant-Negative Mutant of ANXA7 Impairs Calcium Signaling and Enhances the Proliferation of Prostate Cancer Cells by Downregulating the IP3 Receptor and the PI3K/mTOR Pathway"
Article Title: A Dominant-Negative Mutant of ANXA7 Impairs Calcium Signaling and Enhances the Proliferation of Prostate Cancer Cells by Downregulating the IP3 Receptor and the PI3K/mTOR Pathway
Journal: International Journal of Molecular Sciences
doi: 10.3390/ijms24108818
Figure Legend Snippet: ( A ) Comparative lipid-relevant gene expression profiles with the introduction of wt- ANXA7 and DN- ANXA7J in averaged PrCa array. cDNA microarray analysis was performed using Atlas Human Cancer 1.2 arrays and corresponding software AtlasImage 2.01 (Clontech, Palo Arto, CA, USA). Averaged wt- or mut- ANXA7 arrays for PrCa were created using prostate cell lines (LNCaP, DU145, and PC3). Wt/DN- ANXA7J ratio was assessed using the actual difference between the adjusted intensities after subtraction of the external background and the global normalization based on the sum method. Each of the presented genes was found on the outliers lists either in PrCa with the following criteria: R > 2 and difference threshold >4000. ( B ) Apoptotic rates including PS exposure with corresponding mTOR gene expression in response to wt/DN- ANXA7J or p53 in benign versus cancerous and prostate cells. Type I PCD rates as early apoptosis with PS exposure (grey columns) and late apoptosis with membrane permeabilization (black columns) by ANXAV-PE were compared with the vector in each category and presented as delta % (left scale). mTOR gene expression was compared with the averaged CELL array and presented as the actual difference between the adjusted intensities after subtraction of the external background and the global normalization based on the sum method (black line, right scale).
Techniques Used: Expressing, Microarray, Software, Plasmid Preparation
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