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Intramolecular ligation method (iLIME) for pre-miRNA quantification and sequencing.

ABSTRACT: Hairpin-containing pre-miRNAs, produced from pri-miRNAs, are precursors of miRNAs (microRNAs) that play essential roles in gene expression and various human diseases. Current qPCR-based methods used to quantify pre-miRNAs are not effective to discriminate between pre-miRNAs and their parental pri-miRNAs. Here, we developed the intramolecular ligation method (iLIME) to quantify and sequence pre-miRNAs specifically. This method utilizes T4 RNA ligase 1 to convert pre-miRNAs into circularized RNAs, allowing us to design PCR primers to quantify pre-miRNAs, but not their parental pri-miRNAs. In addition, the iLIME also enables us to sequence the ends of pre-miRNAs using next-generation sequencing. Therefore, this method offers a simple and effective way to quantify and sequence pre-miRNAs, so it will be highly beneficial for investigating pre-miRNAs when addressing research questions and medical applications.

SUBMITTER: Le MN

PROVIDER: S-EPMC9202589 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Intramolecular ligation method (iLIME) for pre-miRNA quantification and sequencing

Project description:Hairpin-containing pre-miRNAs are precursors of microRNAs (miRNAs) that play important roles in cellular processes and various human diseases. Pre-miRNAs are produced from longer primary transcripts (pri-miRNAs). The falsity in cellular expression and sequences of pre-miRNAs might cause cellular defects or human diseases. However, the current pre-miRNA quantification methods by qPCR cannot discriminate between pre-miRNAs and their parental pri-miRNAs. In addition, the ligation of the sequencing adapter to 5’-end of pre-miRNAs is inefficient, therefore, pre-miRNA sequencing is highly impractical. Here, we developed a method, called the intramolecular ligation method (iLIME) for pre-miRNA quantification and sequencing. This method utilized T4 RNA ligase 1 to convert hairpin-pre-miRNAs into circularized RNAs that do not naturally exist in cells. The resulting circuliarized RNAs allow us to design unique primers to quantify pre-miRNAs by qPCR specicially, and thus this qPCR can distinguish pre-miRNA from pri-miRNAs. In addition, the iLIME also allows us to sequence pre-miRNAs using next-generation sequencing. The iLIME method offers a simple and effective way to quantify and sequence pre-miRNAs. This will be useful in investigating pre-miRNAs for addressing research questions for medical applications. The iLIME can be potentially extended to other hairpin-containing RNAs, such as tRNAs and snRNAs.

2021-10-11 | GSE185524 | GEO

Intramolecular ligation method (iLIME) for pre-miRNA quantification and sequencing

Project description:Intramolecular ligation method (iLIME) for pre-miRNA quantification and sequencing

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Bisulfite Incorporation Hindered Ligation-based Method for Locus-Specific Detection and Quantification of Pseudouridine

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RNA Proximity Ligation to Resolve Intramolecular RNA Structures in situ

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2015-08-01 | E-GEOD-69472 | biostudies-arrayexpress

RNA Proximity Ligation to Resolve Intramolecular RNA Structures in situ

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Two-tailed RT-qPCR: a novel method for highly accurate miRNA quantification.

Project description:MicroRNAs are a class of small non-coding RNAs that serve as important regulators of gene expression at the posttranscriptional level. They are stable in body fluids and pose great potential to serve as biomarkers. Here, we present a highly specific, sensitive and cost-effective system to quantify miRNA expression based on two-step RT-qPCR with SYBR-green detection chemistry called Two-tailed RT-qPCR. It takes advantage of novel, target-specific primers for reverse transcription composed of two hemiprobes complementary to two different parts of the targeted miRNA, connected by a hairpin structure. The introduction of a second probe ensures high sensitivity and enables discrimination of highly homologous miRNAs irrespectively of the position of the mismatched nucleotide. Two-tailed RT-qPCR has a dynamic range of seven logs and a sensitivity sufficient to detect down to ten target miRNA molecules. It is capable to capture the full isomiR repertoire, leading to accurate representation of the complete miRNA content in a sample. The reverse transcription step can be multiplexed and the miRNA profiles measured with Two-tailed RT-qPCR show excellent correlation with the industry standard TaqMan miRNA assays (r2 = 0.985). Moreover, Two-tailed RT-qPCR allows for rapid testing with a total analysis time of less than 2.5 hours.

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Cross-Linking Ligation and Sequencing of Hybrids (qCLASH) Reveals an Unpredicted miRNA Targetome in Melanoma Cells.

Project description:MicroRNAs are key post-transcriptional gene regulators often displaying aberrant expression patterns in cancer. As microRNAs are promising disease-associated biomarkers and modulators of responsiveness to anti-cancer therapies, a solid understanding of their targetome is crucial. Despite enormous research efforts, the success rates of available tools to reliably predict microRNAs (miRNA)-target interactions remains limited. To investigate the disease-associated miRNA targetome, we have applied modified cross-linking ligation and sequencing of hybrids (qCLASH) to BRAF-mutant melanoma cells. The resulting RNA-RNA hybrid molecules provide a comprehensive and unbiased snapshot of direct miRNA-target interactions. The regulatory effects on selected miRNA target genes in predicted vs. non-predicted binding regions was validated by miRNA mimic experiments. Most miRNA-target interactions deviate from the central dogma of miRNA targeting up to 60% interactions occur via non-canonical seed pairing with a strong contribution of the 3' miRNA sequence, and over 50% display a clear bias towards the coding sequence of mRNAs. miRNAs targeting the coding sequence can directly reduce gene expression (miR-34a/CD68), while the majority of non-canonical miRNA interactions appear to have roles beyond target gene suppression (miR-100/AXL). Additionally, non-mRNA targets of miRNAs (lncRNAs) whose interactions mainly occur via non-canonical binding were identified in melanoma. This first application of CLASH sequencing to cancer cells identified over 8 K distinct miRNA-target interactions in melanoma cells. Our data highlight the importance non-canonical interactions, revealing further layers of complexity of post-transcriptional gene regulation in melanoma, thus expanding the pool of miRNA-target interactions, which have so far been omitted in the cancer field.

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High-efficiency RNA cloning enables accurate quantification of miRNA expression by deep sequencing.

Project description:Small RNA cloning and sequencing is uniquely positioned as a genome-wide approach to quantify miRNAs with single-nucleotide resolution. However, significant biases introduced by RNA ligation in current protocols lead to inaccurate miRNA quantification by 1000-fold. Here we report an RNA cloning method that achieves over 95% efficiency for both 5′ and 3′ ligations. It achieves accurate quantification of synthetic miRNAs with less than two-fold deviation from the anticipated value and over a dynamic range of four orders of magnitude. Taken together, this high-efficiency RNA cloning method permits accurate genome-wide miRNA profiling from total RNAs.

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A ligation-independent sequencing method reveals tRNA fragments with blocked 3' termini

Project description:Despite the numerous sequencing methods available, the vast diversity in size and chemical modifications of RNA molecules makes the capture of the full spectrum of cellular RNAs a difficult task. By combining quasirandom hexamer priming with a custom template switching strategy, we developed a method to construct sequencing libraries from RNA molecules of any length and with any type of 3’ terminal modification, allowing the sequencing and analysis of virtually all RNA species. Ligation-independent detection of all types of RNA (LIDAR) is a simple, effective tool to comprehensively characterize changes in small non-coding RNAs and mRNAs simultaneously, with performance comparable to separate dedicated methods. With LIDAR, we comprehensively characterized the coding and non- coding transcriptome of mouse embryonic stem cells, neural progenitor cells, and sperm. LIDAR detected a much larger variety of tRNA-derived RNAs (tDRs) compared to traditional ligation-dependent sequencing methods, and uncovered the presence of tDRs with blocked 3’ ends that had previously escaped detection. Our findings highlight the potential of LIDAR to systematically detect all RNAs in a sample and uncover new RNA species with potential regulatory functions.

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SPlinted Ligation Adapter Tagging (SPLAT), a novel library preparation method for whole genome bisulphite sequencing.

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