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Related Concept Videos

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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lncRNA - Long Non-coding RNAs02:39

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Ribosome Profiling02:24

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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MicroRNAs01:22

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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MicroRNAs01:22

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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Related Experiment Video

Updated: Dec 27, 2025

Exosomal miRNA Analysis in Non-small Cell Lung Cancer NSCLC Patients' Plasma Through qPCR: A Feasible Liquid Biopsy Tool
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Non-coding RNA profile in lung cancer.

Soudeh Ghafouri-Fard1, Hamed Shoorei2, Wojciech Branicki3

  • 1Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Experimental and Molecular Pathology
|March 1, 2020
PubMed
Summary

Lung cancer, a leading cause of death, involves complex non-coding RNA networks. These competing endogenous RNA networks, involving long non-coding RNAs (lncRNAs) and microRNAs (miRNAs), are crucial in lung cancer development and progression.

Keywords:
Lung cancerlncRNAmiRNA

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Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Lung cancer is the most diagnosed malignancy and leading cause of cancer mortality.
  • It is a heterogeneous disease classified into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC).
  • Aberrant expression of signaling pathways, oncogenes, and non-coding RNAs (ncRNAs) like long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are implicated in lung cancer pathogenesis.

Purpose of the Study:

  • To review recent findings on the role of competing endogenous RNA (ceRNA) networks in lung cancer pathogenesis.
  • To identify and list key onco-miRNAs, tumor suppressor miRNAs, oncogenic lncRNAs, and tumor suppressor lncRNAs involved in lung cancer.
  • To highlight the potential of these ncRNAs and networks as diagnostic/prognostic markers and therapeutic targets.

Main Methods:

  • Literature review of recent studies on lung cancer and non-coding RNA networks.
  • Analysis of aberrant expression of lncRNAs, miRNAs, and mRNAs in lung cancer.
  • Construction and examination of competing endogenous RNA networks based on integrated expression data.
  • Classification of ncRNAs based on their oncogenic or tumor-suppressive roles.

Main Results:

  • Dysregulation of lncRNAs and miRNAs is a hallmark of lung cancer.
  • lncRNAs can act as molecular sponges for miRNAs, forming ceRNA networks that regulate mRNA targets.
  • Some ceRNA networks exhibit lung cancer subtype-specific functions.
  • Identification of specific oncogenic and tumor suppressor lncRNAs and miRNAs in lung cancer.

Conclusions:

  • ceRNA networks play a significant role in the pathogenesis of lung cancer.
  • Aberrantly expressed lncRNAs and miRNAs within these networks represent promising biomarkers and therapeutic targets for lung cancer.
  • Further investigation into subtype-specific ceRNA networks may lead to personalized treatment strategies for lung cancer.