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5 protocols using rnase r digestion

1

Quantifying circMTND5 expression in HK-2 cells

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Total RNA from HK-2 cells was amplified by PCR, and then, PCR products were analyzed by Sanger sequencing. In additional experiment, total RNA from HK-2 cells was incubated without or with RNase R digestion (Epicentre, Madison, WI, USA) for 30 minutes at 37°C. The relative levels of circMTND5 and GAPDH were assayed by qPCR, normalizing to those measured in the Mock group.
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2

Circular RNA Sequencing Protocol

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Total RNA was isolated from the cells, which were treated with 500 μM 5-FU for 3 d and without 5-FU treatment, and then was treated with the TRIzol reagent (Invitrogen, CA, USA) according to the standard protocol. Total RNA quality was assessed using an Agilent 2100 Bioanalyzer (Agilent, CA, USA). Before RNA-sequencing (RNA-seq), DNase I (Epicentre, WI, USA) was added to the total RNA mixture to remove the contaminant DNAs. Next, a Ribo-zero™ rRNA Removal Kit (Epicentre, WI, USA) was used to remove the ribosomal RNAs (rRNA). RNase R digestion (Epicentre, WI, USA) was subsequently performed to digest the linear RNAs. CircRNA libraries were finally generated using the NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina® (NEB, MA, USA) following the manufacturer’s instructions. Next, the RNA-seq library was sequenced using the HiSeq 2500 platform (Illumina, CA, USA).
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3

Profiling Circular RNAs in Bladder Cancer

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From the Cancer Center, we procured samples comprising four BCa specimens and their corresponding adjacent normal tissues. The protocols outlined by Arraystar (Rockville, MD, USA) guided our sample preparation and microarray hybridization processes. To isolate circular RNAs, linear RNAs were eliminated using RNase R digestion (sourced from Epicentre Technologies, Madison, WI, USA). These circRNAs were then transcribed into fluorescent circRNA using the Arraystar Super RNA Labeling Kit. The fluorescently labeled circRNAs were subsequently hybridized to the Arraystar Human circRNA Array V2 (8 × 15 K, Arraystar) and the results were captured using the Agilent Scanner G2505C (Jamul, CA, USA). To identify circRNAs with significant differential expression (with an |average normalized fold change| of ≥ 1.3) between the groups, we employed fold change thresholds.
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4

Quantitative Analysis of miR-1296-5p and STAT1 mRNA

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First, total RNA was extracted from tissue homogenate and cells using TRIzol (Life Technologies, Carlsbad, CA, United States). Then, total RNA was purified using the miRNeasy Mini kit (QIAGEN, Hilden, Germany) and assessed for purity using a NanoVue spectrophotometer (Ge BioSciences, United States). Total RNA, combined with anchored oligo (dT)18 primer and reverse transcriptase from the Transcriptor High FidelitycDNA Synthesis Kit (Roche, Germany), was subjected to the first strand synthesis for cDNA. The cDNA samples were examined by qRT-PCR using FastStart™ universal SYBR® Green (Roche) for determination of miR-1296-5p and STAT1 mRNA, using U6 and beta-actin as the endogenous control. For hsa_circ_0086735, total RNA was prepared to the linear RNA using RNase R digestion (Epicentre Technologies, Madison, WI, United States). RNase R-treated RNA was reversely transcribed to cDNA using SuperScript III First Strand Synthesis System (Invitrogen). qRT-PCR was performed using Power Up Sybr Green Master Mix (Thermo Fisher Scientific). Each sample was assayed in triplicate determinations at least.
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5

Differential circRNA Expression in HCC

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Total RNA isolated from HCC tissues using TRIzol reagent (Invitrogen, CA, USA) was assessed using Agilent 2100 Bioanalyzer pico-RNA chips (Agilent, CA, USA). During circRNA sequencing, DNase I (Epicenter) was used to remove DNA contamination. Ribosomal RNA was removed using an Epicenter Ribo-zero rRNA Removal Kit (Epicenter, USA), and RNase R digestion (Epicenter, USA) was subsequently performed to remove linear RNA. circRNA libraries were constructed with the NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina® (NEB, USA) following the manufacturer’s recommendations. The Illumina sequencing data were used to analyze the expression of circRNAs in tumors and adjacent tissues, using the limma package. Significantly differentially expressed circRNAs were defined as adjusted P < 0.05, and fold-change ≥ 2 or ≤0.5. A heatmap of the differentially expressed genes was generated using Cluster 3.0 software.
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