| RI-SEC-seq: Comprehensive Profiling of Nonvesicular Extracellular RNAs with Different Stabilities
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Author:
Date:
2021-02-20
[Abstract] Exosomes and other extracellular vesicles (EVs) are considered the main vehicles transporting RNAs in extracellular samples, including human bodily fluids. However, a major proportion of extracellular RNAs (exRNAs) do not copurify with EVs and remain in ultracentrifugation supernatants of cell-conditioned medium or blood serum. We have observed that nonvesicular exRNA profiles are highly biased toward those RNAs with intrinsic resistance to extracellular ribonucleases. These highly resistant exRNAs are interesting from a biomarker point of view, but are not representative of the actual bulk of RNAs released to the extracellular space. In order to understand exRNA dynamics and capture both stable and unstable RNAs, we developed a method based on size-exclusion chromatography (SEC) ...
[摘要] [摘要]外来体和其他细胞外囊泡（EVs）被认为是在细胞外样品（包括人体液）中运输RNA的主要载体。但是，大部分细胞外RNA（exRNA ）不能与EV共纯化，而是保留在细胞条件培养基或血清的超速离心上清液中。我们已经观察到非囊泡的exRNA概况高度偏向那些对细胞外核糖核酸酶具有固有抗性的RNA。从生物标志物的角度来看，这些高度抗性的exRNA很有趣，但不能代表释放到细胞外空间的RNA的实际体积。为了了解exRNA动态并捕获稳定和不稳定的RNA，我们开发了一种基于大小排阻色谱（SEC）分馏的RNase抑制剂（RI）处理的细胞条件培养基（RI-SEC-seq）的方法。这种方法使我们能够鉴定和研究细胞外核糖体和tRNA，并提供了可以在不久的将来影响生物标志物发现的细胞外RNAome的动态视图。
图形概要：
所述RI-SEC-SEQ协议的概述：大小排阻层析的级分的测序从nonvesicular胞样品用或不用RNA酶抑制剂（+/- RI）
[背景]细胞外RNA（exRNA ）参与细胞间通讯，并且在微创液体活检中有望成为疾病的生物标志物（O'Brien et ...
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| A Small RNA Isolation and Sequencing Protocol and Its Application to Assay CRISPR RNA Biogenesis in Bacteria
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Author:
Date:
2018-02-20
[Abstract] Next generation high-throughput sequencing has enabled sensitive and unambiguous analysis of RNA populations in cells. Here, we describe a method for isolation and strand-specific sequencing of small RNA pools from bacteria that can be multiplexed to accommodate multiple biological samples in a single experiment. Small RNAs are isolated by polyacrylamide gel electrophoresis and treated with T4 polynucleotide kinase. This allows for 3’ adapter ligation to CRISPR RNAs, which don’t have pre-existing 3’-OH ends. Pre-adenylated adapters are then ligated using T4 RNA ligase 1 in the absence of ATP and with a high concentration of polyethylene glycol (PEG). The 3’ capture step enables precise determination of the 3’ ends of diverse RNA molecules. Additionally, a random hexamer in the ligated ...
[摘要] 新一代高通量测序技术能够对细胞中的RNA群体进行敏感和明确的分析。在这里，我们描述了一种从细菌中分离和链特异性测序小RNA池的方法，所述细菌可以在单个实验中多路复用以容纳多个生物样品。小RNA通过聚丙烯酰胺凝胶电泳分离并用T4多核苷酸激酶处理。这允许3'衔接头连接至CRISPR RNA，其不具有预先存在的3'-OH末端。然后使用T4 RNA连接酶1在不存在ATP和高浓度聚乙二醇（PEG）的情况下将前腺苷酸化的衔接子连接。 3'捕获步骤能够精确测定不同RNA分子的3'末端。此外，连接适配器中的随机六聚体有助于控制潜在的下游扩增偏差。逆转录后，将cDNA产物环化并通过PCR制备文库。我们显示扩增的文库不需要通过凝胶电泳可见，以期望产物的有效测序。使用这种方法，我们通常从少量纯化的小RNA制备RNA测序文库。该协议适合于通过对成熟的CRISPR RNA进行测序来测定细菌中的CRISPR RNA生物合成，但可以用于测序不同类型的小RNA。我们还提供了一个完整的数据处理管道示例，并提供了运行所提供脚本的说明。
【背景】与聚集的经常散布的短回文重复序列（CRISPR）相关的遗传模块赋予不同的原核宿主适应性免疫（Barrangou et ...
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| ACE-score-based Analysis of Temporal miRNA Targetomes During Human Cytomegalovirus Infection Using AGO-CLIP-seq
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Author:
Date:
2016-04-20
[Abstract] Although temporal regulation of gene expression during the course of infection is known to be critical for determining the outcome of host-virus interactions, systematic temporal analysis of the miRNA targetomes during productive viral infection has been technically challenging due to the large range of miRNA-mRNA cross-talks at the host-virus interface. High-confidence quantifying models of the suppression efficacy in targeting sites by integrating bioinformatics with Argonaute-crosslinking and immunoprecipitation followed by high-throughput sequencing (AGO-CLIP-seq) (Chi et al., 2009) data have been poorly developed. To accurately identify miRNA target sites and calculate the targeting efficacy of miRNA-target interactions, we developed a new bioinformatic quantitation method, ...
[摘要] 尽管已知在感染过程中基因表达的时间调节对于确定宿主 - 病毒相互作用的结果是至关重要的，但是在生产性病毒感染期间对miRNA targetomes的系统时间分析在技术上是具有挑战性的，因为大范围的miRNA- mRNA在主机 - 病毒接口交叉对话。数据通过将生物信息学与Argonaute-交联和免疫沉淀接着高通量测序（AGO-CLIP-seq）数据（Chi等人，2009）数据结合，已经不发达。为了准确地鉴定miRNA靶位点并计算miRNA-靶相互作用的靶向效果，我们开发了新的生物信息学定量方法，即AGO-CLIP-seq富集（ACE） - 评分算法（Kim等， 2015）。在我们的AGO-CLIP-seq分析中包括未感染的对照可以显着提高病毒或人miRNA的真实靶位点识别的准确性，并且在我们的ACE评分方法中提取生产性人巨细胞病毒（HCMV）感染期间的生理学显着变化。因此，我们建议我们新的基于ACE评分的方法可以应用于各种miRNA targetome研究，这将在其他类型的时间背景下进行，如发展阶段，细胞因子或病原体的免疫刺激和其他病毒。
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