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EVs were isolated from the bile of patients with extrahepatic cholangiocarcinoma (eCCA) or benign hepatobiliary diseases (4 patients with choledocholithiasis, 1 patient with bile duct injury) to determine the differentially expressed circRNAs. Transmission electron microscopy (TEM) confirmed the exosomal morphology of the membrane‐encapsulated bile extracts (Fig. 1A). One hundred microliters of EVs (2.9‐3.1 × 1011 EVs/mL) was isolated from 50 mL bile. For nanoparticle tracking analysis assay, the experiments were performed at 1:6,000 dilution, leading to particle concentrations around 5.0 × 107 EVs/mL with a 92.1 ± 34.7 nm in size (Fig. 1A). The particles were positive for the exosomal markers Alix, CD63, and tumor susceptibility 101 relative to the groups of unextracted bile and total cholangiocyte lysates (Fig. 1A). CircRNA microarray analysis revealed 85 circRNAs (fold‐change > 2; P < 0.05) that were differentially expressed between the BEVs of eCCA and healthy controls. Fig. 1B shows the hierarchical clustering of the top 30 up‐regulated and down‐regulated circRNAs. We used eCCA/adjacent normal tissues from the same 5 patients to study circRNA expression profiles using ribosomal RNA–depleted RNA sequencing (RNA‐seq). Among the 140 differentially expressed circRNAs (fold‐change > 2; P < 0.05), the top 30 up‐regulated and down‐regulated circRNAs are shown in Fig. 1B. Analysis of differentially expressed circRNAs in EVs and tissues revealed three commonly dysregulated circRNAs (Supporting Fig. S1A). Quantitative real‐time PCR (qRT‐PCR) showed that, of these circRNAs (hsa_circRNA_102064, hsa_circRNA_100364, and hsa_circRNA_101721), hsa_circRNA_102064 showed the most dysregulated expression in 20 pairs of CCA and normal tissues (5 eCCA and 15 iCCA; Supporting Fig. S1B). Hsa_circRNA_102064 is synthesized from exons 23‐26 of ERBB2 (Supporting Fig. S1C). To help distinguish this from the known circ‐ERBB2, we named this circRNA “circ‐CCAC1”. Sanger sequencing validated the back‐spliced junction of circ‐CCAC1 (Supporting Fig. S1D). Moreover, it harbored a loop structure resistant to ribonuclease R (Supporting Fig. S1E). Total RNA was extracted to detect the expression of circ‐CCAC1 and linear ERBB2 after treatment with actinomycin D at different time points. Linear ERBB2 showed a shorter half‐life compared with circ‐CCAC1, highlighting the stability of circ‐CCAC1 (Supporting Fig. S1F).
EVs were isolated from the bile of patients with extrahepatic cholangiocarcinoma (eCCA) or benign hepatobiliary diseases (4 patients with choledocholithiasis, 1 patient with bile duct injury) to determine the differentially expressed circRNAs. Transmission electron microscopy (TEM) confirmed the exosomal morphology of the membrane‐encapsulated bile extracts (Fig. 1A). One hundred microliters of EVs (2.9‐3.1 × 1011 EVs/mL) was isolated from 50 mL bile. For nanoparticle tracking analysis assay, the experiments were performed at 1:6,000 dilution, leading to particle concentrations around 5.0 × 107 EVs/mL with a 92.1 ± 34.7 nm in size (Fig. 1A). The particles were positive for the exosomal markers Alix, CD63, and tumor susceptibility 101 relative to the groups of unextracted bile and total cholangiocyte lysates (Fig. 1A). CircRNA microarray analysis revealed 85 circRNAs (fold‐change > 2; P < 0.05) that were differentially expressed between the BEVs of eCCA and healthy controls. Fig. 1B shows the hierarchical clustering of the top 30 up‐regulated and down‐regulated circRNAs. We used eCCA/adjacent normal tissues from the same 5 patients to study circRNA expression profiles using ribosomal RNA–depleted RNA sequencing (RNA‐seq). Among the 140 differentially expressed circRNAs (fold‐change > 2; P < 0.05), the top 30 up‐regulated and down‐regulated circRNAs are shown in Fig. 1B. Analysis of differentially expressed circRNAs in EVs and tissues revealed three commonly dysregulated circRNAs (Supporting Fig. S1A). Quantitative real‐time PCR (qRT‐PCR) showed that, of these circRNAs (hsa_circRNA_102064, hsa_circRNA_100364, and hsa_circRNA_101721), hsa_circRNA_102064 showed the most dysregulated expression in 20 pairs of CCA and normal tissues (5 eCCA and 15 iCCA; Supporting Fig. S1B). Hsa_circRNA_102064 is synthesized from exons 23‐26 of ERBB2 (Supporting Fig. S1C). To help distinguish this from the known circ‐ERBB2, we named this circRNA “circ‐CCAC1”. Sanger sequencing validated the back‐spliced junction of circ‐CCAC1 (Supporting Fig. S1D). Moreover, it harbored a loop structure resistant to ribonuclease R (Supporting Fig. S1E). Total RNA was extracted to detect the expression of circ‐CCAC1 and linear ERBB2 after treatment with actinomycin D at different time points. Linear ERBB2 showed a shorter half‐life compared with circ‐CCAC1, highlighting the stability of circ‐CCAC1 (Supporting Fig. S1F).
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从患有肝外胆管癌(eCCA)或良性肝胆疾病的患者(4例胆总管结石患者,1例胆管损伤患者)的胆汁中分离EVs,以确定差异表达的circRNAs。透射电子显微镜(TEM)证实了膜包裹胆汁提取物的胞外体形态(图1A)。从50毫升胆汁中分离出100微升EVs(2.9‐3.1×1011 EVs/毫升)。对于纳米粒子跟踪分析化验,实验在1:6,000的稀释度下进行,导致粒子浓度约为5.0 × 107电子伏/毫升,大小为92.1±34.7纳米(图1A)。相对于未提取的胆汁组和总胆管细胞裂解物组,所述颗粒对外体标记物Alix、CD63和肿瘤易感性101呈阳性(图1A)。CircRNA微阵列分析揭示了85个CircRNA(倍数变化> 2;P < 0.05),其在eCCA的bev和健康对照之间差异表达。图1B显示了前30个上调和下调circRNAs的分级聚类。我们使用来自相同5名患者的eCCA/邻近正常组织,通过核糖体RNA缺失RNA测序(RNA‐seq)研究circRNA表达谱。在140个差异表达的circRNAs中(倍数变化> 2;P < 0.05),前30个上调和下调的circRNAs如图1B所示。对EVs和组织中差异表达的circrna的分析揭示了三种常见的失调circrna(支持图S1A)。定量实时PCR (qRT‐PCR)显示,在这些circRNA(hsa_circRNA_102064、hsa_circRNA_100364和hsa_circRNA_101721)中,HSA _ circRNA _ 102064在20对CCA和正常组织(5对eCCA和15对iCCA支持图S1B)。Hsa_circRNA_102064由ERBB2的外显子23‐26合成(支持图S1C)。为了有助于将其与已知的circ‐ERBB2区分开来,我们将这种circRNA命名为“circ‐CCAC1”。Sanger测序验证了circ‐CCAC1的反向剪接点(支持图S1D)。此外,它包含抗核糖核酸酶R的环结构(支持图S1E)。在用放线菌素D处理后的不同时间点,提取总RNA以检测circ‐CCAC1和线性ERBB2的表达。与circ‐CCAC1相比,线性ERBB2的半衰期更短,突出了circ‐CCAC1的稳定性(支持图S1F)。

从患有肝外胆管癌(eCCA)或良性肝胆疾病的患者(4例胆总管结石患者,1例胆管损伤患者)的胆汁中分离EVs,以确定差异表达的circRNAs。透射电子显微镜(TEM)证实了膜包裹胆汁提取物的胞外体形态(图1A)。从50毫升胆汁中分离出100微升EVs(2.9‐3.1×1011 EVs/毫升)。对于纳米粒子跟踪分析化验,实验在1:6,000的稀释度下进行,导致粒子浓度约为5.0 × 107电子伏/毫升,大小为92.1±34.7纳米(图1A)。相对于未提取的胆汁组和总胆管细胞裂解物组,所述颗粒对外体标记物Alix、CD63和肿瘤易感性101呈阳性(图1A)。CircRNA微阵列分析揭示了85个CircRNA(倍数变化> 2;P < 0.05),其在eCCA的bev和健康对照之间差异表达。图1B显示了前30个上调和下调circRNAs的分级聚类。我们使用来自相同5名患者的eCCA/邻近正常组织,通过核糖体RNA缺失RNA测序(RNA‐seq)研究circRNA表达谱。在140个差异表达的circRNAs中(倍数变化> 2;P < 0.05),前30个上调和下调的circRNAs如图1B所示。对EVs和组织中差异表达的circrna的分析揭示了三种常见的失调circrna(支持图S1A)。定量实时PCR (qRT‐PCR)显示,在这些circRNA(hsa_circRNA_102064、hsa_circRNA_100364和hsa_circRNA_101721)中,HSA _ circRNA _ 102064在20对CCA和正常组织(5对eCCA和15对iCCA支持图S1B)。Hsa_circRNA_102064由ERBB2的外显子23‐26合成(支持图S1C)。为了有助于将其与已知的circ‐ERBB2区分开来,我们将这种circRNA命名为“circ‐CCAC1”。Sanger测序验证了circ‐CCAC1的反向剪接点(支持图S1D)。此外,它包含抗核糖核酸酶R的环结构(支持图S1E)。在用放线菌素D处理后的不同时间点,提取总RNA以检测circ‐CCAC1和线性ERBB2的表达。与circ‐CCAC1相比,线性ERBB2的半衰期更短,突出了circ‐CCAC1的稳定性(支持图S1F)。

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