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microrna microarray analyses  (Toray Industries)

 
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    Toray Industries microrna microarray analyses
    Microrna Microarray Analyses, supplied by Toray Industries, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mirna+microarray+data+analysis/mirna+microarray+analysis/pmc03590667-18-0-11
    Average 90 stars, based on 1 article reviews
    microrna microarray analyses - by Bioz Stars, 2026-11
    90/100 stars

    Images

    Related Articles

    Microarray:

    Article Title: miR-6855-5p Enhances Radioresistance and Promotes Migration of Pancreatic Cancer by Inducing Epithelial-Mesenchymal Transition via Suppressing FOXA1: Potential of Plasma Exosomal miR-6855-5p as an Indicator of Radiosensitivity in Patients with Pancreatic Cancer.
    Article Snippet: Background.. Whether radiation should be added to neoadjuvant treatment remains controversial, and liquid biopsy has not been reported to predict radioresistance in pancreatic cancer (PC).. We aimed to identify microRNAs (miRNAs) governing radioresistance in PC by utilizing peripheral plasma exosome samples and to verify their usefulness as biomarkers.

    Article Title: MicroRNA‐181b‐5p, ETS1, and the c‐Met pathway exacerbate the prognosis of pancreatic ductal adenocarcinoma after radiation therapy
    Article Snippet: .. MicroRNA microarray analysis was carried out by Toray Industries (Tokyo, Japan) with the TORAY 3D‐Gene platform. ..

    Article Title: Integrated extracellular microRNA profiling for ovarian cancer screening
    Article Snippet: .. From all samples, we obtained comprehensive profiles of 2588 miRNAs using highly sensitive miRNA microarray analysis on a standardized platform (3D-Gene ® , Toray Industries, Inc., Tokyo, Japan) . ..

    Article Title: miRNA-93 in Serum Extracellular Vesicles Before and After Low Dose Rate Prostate Brachytherapy.
    Article Snippet: Background/Aim: To identify novel biomarkers for prostate cancer (PC), we evaluated changes of miRNAs contained in serum small extracellular vesicles (EVs) in patients who received low dose rate prostate brachytherapy (BT).. Materials and Methods: EVs were isolated from the pooled serum of 10 PC patients prior to and 1 month after BT. miRNA profiling and quantitation in EVs was performed by microarray analysis and RT-digital PCR, respectively.. Expression of miRNA-93 in prostate tissue was evaluated using the TCGA database and its level in EVs was determined in 25 patients before and 1, 3, 6 and 12 months after BT.

    Article Title: Serum microRNA-based prediction of responsiveness to eribulin in metastatic breast cancer
    Article Snippet: .. From all samples, comprehensive profiles of 2565 miRNAs were obtained using a highly sensitive miRNA microarray analysis on a standardised platform (3D-Gene ® , Toray Industries, Inc.). ..

    Article Title: MicroRNA-26a-5p is a reliable biomarker in the adjuvant setting for pancreatic ductal adenocarcinoma
    Article Snippet: .. Messenger RNA (mRNA) microarray analysis was performed by Toray Industries (Tokyo, Japan) using the TORAY 3D‐Gene ® platform. ..

    Labeling:

    Article Title: miR-6855-5p Enhances Radioresistance and Promotes Migration of Pancreatic Cancer by Inducing Epithelial-Mesenchymal Transition via Suppressing FOXA1: Potential of Plasma Exosomal miR-6855-5p as an Indicator of Radiosensitivity in Patients with Pancreatic Cancer.
    Article Snippet: Background.. Whether radiation should be added to neoadjuvant treatment remains controversial, and liquid biopsy has not been reported to predict radioresistance in pancreatic cancer (PC).. We aimed to identify microRNAs (miRNAs) governing radioresistance in PC by utilizing peripheral plasma exosome samples and to verify their usefulness as biomarkers.

    Extraction:

    Article Title: miR-6855-5p Enhances Radioresistance and Promotes Migration of Pancreatic Cancer by Inducing Epithelial-Mesenchymal Transition via Suppressing FOXA1: Potential of Plasma Exosomal miR-6855-5p as an Indicator of Radiosensitivity in Patients with Pancreatic Cancer.
    Article Snippet: Background.. Whether radiation should be added to neoadjuvant treatment remains controversial, and liquid biopsy has not been reported to predict radioresistance in pancreatic cancer (PC).. We aimed to identify microRNAs (miRNAs) governing radioresistance in PC by utilizing peripheral plasma exosome samples and to verify their usefulness as biomarkers.

    Software:

    Article Title: miR-6855-5p Enhances Radioresistance and Promotes Migration of Pancreatic Cancer by Inducing Epithelial-Mesenchymal Transition via Suppressing FOXA1: Potential of Plasma Exosomal miR-6855-5p as an Indicator of Radiosensitivity in Patients with Pancreatic Cancer.
    Article Snippet: Background.. Whether radiation should be added to neoadjuvant treatment remains controversial, and liquid biopsy has not been reported to predict radioresistance in pancreatic cancer (PC).. We aimed to identify microRNAs (miRNAs) governing radioresistance in PC by utilizing peripheral plasma exosome samples and to verify their usefulness as biomarkers.

    Purification:

    Article Title: Circulating microRNA-1246 as a possible biomarker for early tumor recurrence of hepatocellular carcinoma.
    Article Snippet: Makoto Chuma, 7 Hidenori Toyoda, Juntaro Matsuzaki, Yoshimasa Saito, 4 Takashi Kumada, Toshifumi Tada, Yuji Kaneoka, Atsuyuki Maeda, Hideki Yokoo, Koji Ogawa, Toshiya Kamiyama, Akinobu Taketomi, Yoshihiro Matsuno, Keiichi Yazawa, 1 Kazuhisa Takeda, 1 Chikara Kunisaki, Katsuaki Ogushi, 1 Satoshi Moriya, 1 Koji Hara, 1 Akito Nozaki, 1 Masaaki Kondo, 9 Hiroyuki Fukuda, 1 Kazushi Numata, Katsuaki Tanaka, 1 Shin Maeda, and Naoya Sakamoto

    Control:

    Article Title: Circulating microRNA-1246 as a possible biomarker for early tumor recurrence of hepatocellular carcinoma.
    Article Snippet: Makoto Chuma, 7 Hidenori Toyoda, Juntaro Matsuzaki, Yoshimasa Saito, 4 Takashi Kumada, Toshifumi Tada, Yuji Kaneoka, Atsuyuki Maeda, Hideki Yokoo, Koji Ogawa, Toshiya Kamiyama, Akinobu Taketomi, Yoshihiro Matsuno, Keiichi Yazawa, 1 Kazuhisa Takeda, 1 Chikara Kunisaki, Katsuaki Ogushi, 1 Satoshi Moriya, 1 Koji Hara, 1 Akito Nozaki, 1 Masaaki Kondo, 9 Hiroyuki Fukuda, 1 Kazushi Numata, Katsuaki Tanaka, 1 Shin Maeda, and Naoya Sakamoto

    Expressing:

    Article Title: Circulating microRNA-1246 as a possible biomarker for early tumor recurrence of hepatocellular carcinoma.
    Article Snippet: Makoto Chuma, 7 Hidenori Toyoda, Juntaro Matsuzaki, Yoshimasa Saito, 4 Takashi Kumada, Toshifumi Tada, Yuji Kaneoka, Atsuyuki Maeda, Hideki Yokoo, Koji Ogawa, Toshiya Kamiyama, Akinobu Taketomi, Yoshihiro Matsuno, Keiichi Yazawa, 1 Kazuhisa Takeda, 1 Chikara Kunisaki, Katsuaki Ogushi, 1 Satoshi Moriya, 1 Koji Hara, 1 Akito Nozaki, 1 Masaaki Kondo, 9 Hiroyuki Fukuda, 1 Kazushi Numata, Katsuaki Tanaka, 1 Shin Maeda, and Naoya Sakamoto

    Hybridization:

    Article Title: Circulating microRNA-1246 as a possible biomarker for early tumor recurrence of hepatocellular carcinoma.
    Article Snippet: Makoto Chuma, 7 Hidenori Toyoda, Juntaro Matsuzaki, Yoshimasa Saito, 4 Takashi Kumada, Toshifumi Tada, Yuji Kaneoka, Atsuyuki Maeda, Hideki Yokoo, Koji Ogawa, Toshiya Kamiyama, Akinobu Taketomi, Yoshihiro Matsuno, Keiichi Yazawa, 1 Kazuhisa Takeda, 1 Chikara Kunisaki, Katsuaki Ogushi, 1 Satoshi Moriya, 1 Koji Hara, 1 Akito Nozaki, 1 Masaaki Kondo, 9 Hiroyuki Fukuda, 1 Kazushi Numata, Katsuaki Tanaka, 1 Shin Maeda, and Naoya Sakamoto

    Quantitative Proteomics:

    Article Title: Circulating microRNA-1246 as a possible biomarker for early tumor recurrence of hepatocellular carcinoma.
    Article Snippet: Makoto Chuma, 7 Hidenori Toyoda, Juntaro Matsuzaki, Yoshimasa Saito, 4 Takashi Kumada, Toshifumi Tada, Yuji Kaneoka, Atsuyuki Maeda, Hideki Yokoo, Koji Ogawa, Toshiya Kamiyama, Akinobu Taketomi, Yoshihiro Matsuno, Keiichi Yazawa, 1 Kazuhisa Takeda, 1 Chikara Kunisaki, Katsuaki Ogushi, 1 Satoshi Moriya, 1 Koji Hara, 1 Akito Nozaki, 1 Masaaki Kondo, 9 Hiroyuki Fukuda, 1 Kazushi Numata, Katsuaki Tanaka, 1 Shin Maeda, and Naoya Sakamoto



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    (A)Volcano plot of <t>miRNA</t> <t>expression</t> in RV-HF vs RV-Ctrl. Blue dots, miRNAs that were differentially expressed at P<0.10. Labeled dots, miRNAs that were differentially expressed at a minimum 2-fold change in either direction (n=3 per group). (B)Heat maps, Venn diagram, and summary bar graph of differentially expressed miRNAs. Orange font, differentially expressed in RV-HF vs RV-Ctrl and in LV-HF vs LV-Ctrl but not statistically significantly different in RV-HF vs LV-HF. Blue font, differentially expressed in RV-HF vs RV-Ctrl and in RV-HF vs LV-HF, but not statistically significantly different in LV-HF vs LV-Ctrl. Purple font, differentially expressed across all three comparisons: LV-HF vs LV-Ctrl, RV-HF vs RV-Ctrl, and RV-HF vs LV-HF. *P<0.05 vs respective LV-HF/LV-Ctrl. (C)Quantitative RT-PCR analysis of miR-21 and miR-221 in ventricular tissue, n= 6 per group. *P<0.01 vs respective Ctrl; #P<0.01 vs LV HF. (D)Cyclic overstretch and/or aldosterone induced a marked increase in miR-21 (*P<0.01 vs unstimulated) and (E)miR-221 (*P<0.05 vs unstimulated) only in RV fibroblasts. (F)Inhibition of miR-21/−221 attenuated proliferation in RV but not LV fibroblasts. n= 4 per experimental condition. *P<0.05 vs respective LV, #P<0.05 vs RV without antimir, analyzed by ANOVA on Ranks.
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    Image Search Results


    (A)Volcano plot of miRNA expression in RV-HF vs RV-Ctrl. Blue dots, miRNAs that were differentially expressed at P<0.10. Labeled dots, miRNAs that were differentially expressed at a minimum 2-fold change in either direction (n=3 per group). (B)Heat maps, Venn diagram, and summary bar graph of differentially expressed miRNAs. Orange font, differentially expressed in RV-HF vs RV-Ctrl and in LV-HF vs LV-Ctrl but not statistically significantly different in RV-HF vs LV-HF. Blue font, differentially expressed in RV-HF vs RV-Ctrl and in RV-HF vs LV-HF, but not statistically significantly different in LV-HF vs LV-Ctrl. Purple font, differentially expressed across all three comparisons: LV-HF vs LV-Ctrl, RV-HF vs RV-Ctrl, and RV-HF vs LV-HF. *P<0.05 vs respective LV-HF/LV-Ctrl. (C)Quantitative RT-PCR analysis of miR-21 and miR-221 in ventricular tissue, n= 6 per group. *P<0.01 vs respective Ctrl; #P<0.01 vs LV HF. (D)Cyclic overstretch and/or aldosterone induced a marked increase in miR-21 (*P<0.01 vs unstimulated) and (E)miR-221 (*P<0.05 vs unstimulated) only in RV fibroblasts. (F)Inhibition of miR-21/−221 attenuated proliferation in RV but not LV fibroblasts. n= 4 per experimental condition. *P<0.05 vs respective LV, #P<0.05 vs RV without antimir, analyzed by ANOVA on Ranks.

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    doi: 10.1161/CIRCHEARTFAILURE.119.006426

    Figure Lengend Snippet: (A)Volcano plot of miRNA expression in RV-HF vs RV-Ctrl. Blue dots, miRNAs that were differentially expressed at P<0.10. Labeled dots, miRNAs that were differentially expressed at a minimum 2-fold change in either direction (n=3 per group). (B)Heat maps, Venn diagram, and summary bar graph of differentially expressed miRNAs. Orange font, differentially expressed in RV-HF vs RV-Ctrl and in LV-HF vs LV-Ctrl but not statistically significantly different in RV-HF vs LV-HF. Blue font, differentially expressed in RV-HF vs RV-Ctrl and in RV-HF vs LV-HF, but not statistically significantly different in LV-HF vs LV-Ctrl. Purple font, differentially expressed across all three comparisons: LV-HF vs LV-Ctrl, RV-HF vs RV-Ctrl, and RV-HF vs LV-HF. *P<0.05 vs respective LV-HF/LV-Ctrl. (C)Quantitative RT-PCR analysis of miR-21 and miR-221 in ventricular tissue, n= 6 per group. *P<0.01 vs respective Ctrl; #P<0.01 vs LV HF. (D)Cyclic overstretch and/or aldosterone induced a marked increase in miR-21 (*P<0.01 vs unstimulated) and (E)miR-221 (*P<0.05 vs unstimulated) only in RV fibroblasts. (F)Inhibition of miR-21/−221 attenuated proliferation in RV but not LV fibroblasts. n= 4 per experimental condition. *P<0.05 vs respective LV, #P<0.05 vs RV without antimir, analyzed by ANOVA on Ranks.

    Article Snippet: miRNA microarray data was analyzed for differential miRNA expression between pre-specified groups (RV-HF vs. RV-Ctrl, LV-HF vs. LV-Ctrl, and RV-HF vs. LV-HF) by two-tailed Student’s t-test using GraphPad Software (Prism 7.0).

    Techniques: Expressing, Labeling, Quantitative RT-PCR, Inhibition