Long Noncoding Rna
Long Noncoding Rna - Related Videos
07:35
Computational Analysis Tutorial for Chimeric Small Noncoding RNA: Target RNA Sequencing Libraries
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Cited by 2 •
2023
Here, we present a protocol demonstrating the installation and use of a bioinformatics pipeline to analyze chimeric RNA sequencing data used in the study of in vivo RNA:RNA interactions.
06:44
Isolation of Small Noncoding RNAs from Human Serum
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Cited by 13 •
2014
This protocol describes a method for extracting small RNAs from human serum. We have used this method to isolate microRNAs from cancer serum for use in DNA arrays and also singleplex quantitative PCR. The protocol utilizes phenol and guanidinium thiocyanate reagents with modifications to yield high quality RNA.
13:04
Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR
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Cited by 6 •
2019
Traditional cDNA-based overexpression techniques have a limited applicability for the overexpression of long noncoding RNAs due to their multiple splice forms with potential functionality. This review reports a protocol using CRISPR technology to overexpress multiple splice variants of a long noncoding RNA.
09:54
RNA-Seq
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2023
Among different methods to evaluate gene expression, the high-throughput sequencing of RNA, or RNA-seq. is particularly attractive, as it can be performed and analyzed without relying on prior available genomic information. During RNA-seq, RNA isolated from samples of interest is used to generate a DNA library, which is then amplified and sequenced. Ultimately, RNA-seq can determine which genes are expressed, the levels of their expression, and the presence of any previously unknown transcripts.
01:53
RNA Stability
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2019
Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
FAQs
Long noncoding RNAs can regulate gene activity by associating with DNA, RNA, or proteins. These interactions allow an individual RNA molecule to affect several stages of gene control, including transcription, RNA stability, and translation. Because the same broad class of molecules can use different binding partners, researchers examine their molecular interactions to determine how particular cellular functions are regulated.
Guiding regulatory complexes to specific genomic regions can connect an RNA molecule with a particular site of gene regulation. This targeting provides a mechanism for influencing transcription rather than acting only through general cellular changes. The resulting location-specific control helps explain how lncRNAs participate in regulatory networks and how altered regulation may contribute to disease-related cellular processes.
Long noncoding RNA activity can vary with biological context, including development, cell differentiation, disease processes, and environmental signals. Changes in expression or molecular partnerships may alter how genes are regulated as cells adopt different states. Studying these context-dependent patterns helps researchers connect particular lncRNAs with cellular transitions and responses rather than treating their activity as constant.
Researchers examine where and when lncRNAs are expressed, then study their molecular interactions to identify the regulatory networks in which they participate. Expression patterns can associate an RNA with a developmental state, differentiated cell, disease process, or environmental response, while interaction data helps clarify possible effects on transcription, RNA stability, or translation.
Their expression patterns can provide information about cellular states and disease processes, making lncRNAs potential biomarkers. Researchers compare these patterns with biological conditions to identify molecules associated with particular regulatory changes. A useful biomarker candidate can therefore help reveal disease-related networks or distinguish relevant cellular responses, although its value depends on the observed relationship between expression and condition.
Researchers consider lncRNAs as potential therapeutic targets because they can influence gene regulation through interactions with DNA, RNA, proteins, or regulatory complexes. Modifying a relevant lncRNA could, in principle, affect the regulatory network connected to a disease process. This possibility is especially relevant to research on cancer and neurological disease, where disrupted cellular regulation is important.