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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
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Exploring long non-coding RNA networks from single cell omics data.

Xue Zhao1, Yangming Lan1, Dijun Chen1

  • 1State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China.

Computational and Structural Biotechnology Journal
|September 2, 2022
PubMed
Summary
This summary is machine-generated.

Single-cell omics reveal long noncoding RNA (lncRNA) expression patterns and cell-specific roles. This review explores lncRNA studies using single-cell data, focusing on gene regulatory networks and future research directions.

Keywords:
Gene regulatory networks (GRNs)Long non-coding RNAs (lncRNAs)Multi-omcsSingle cell sequencing

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Single-cell omics technologies enable detailed analysis of cellular heterogeneity.
  • Long noncoding RNAs (lncRNAs) are crucial regulators with tissue- and cell-specific expression.
  • Understanding lncRNA function requires high-resolution cellular analysis.

Purpose of the Study:

  • To review advancements in lncRNA studies driven by single-cell omics data.
  • To discuss lncRNA expression heterogeneity, cell-type specificity, and gene regulatory networks (GRNs) at the single-cell level.
  • To summarize resources and tools for constructing single-cell GRNs (scGRNs) for lncRNA functional studies.

Main Methods:

  • Literature review of single-cell omics applications in lncRNA research.
  • Analysis of lncRNA expression patterns and specificity in single-cell datasets.
  • Compilation of current single-cell GRN construction tools and resources.

Main Results:

  • Single-cell omics provide insights into lncRNA heterogeneity and cell-type specificity.
  • Identification of lncRNA-associated gene regulatory networks (GRNs) from single-cell data is advancing.
  • Numerous resources and tools are available for building single-cell GRNs (scGRNs).

Conclusions:

  • Single-cell omics significantly enhance the study of lncRNA biology.
  • scGRNs offer a powerful framework for investigating lncRNA functions.
  • Future research should focus on overcoming challenges in scGRN exploration for lncRNA biology.