Related Experiment Video
Updated: May 21, 2026
09:40
Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
Long non-coding RNA expression profiles predict clinical phenotypes in glioma.
Xiaoqin Zhang1, Stella Sun, Jenny Kan Suen Pu
1Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong.
Neurobiology of Disease
|June 20, 2012
Summary
This study identifies novel long non-coding RNAs (lncRNAs) linked to glioma subtypes and malignancy grades. These findings highlight the role of lncRNAs in brain tumor development and offer new avenues for research.
Area of Science:
- Neuro-oncology
- Molecular Biology
- Genomics
Background:
- Glioma is the most common primary adult brain tumor, characterized by diverse malignancy grades and histological subtypes.
- Long non-coding RNAs (lncRNAs) are emerging as critical regulators in cancer development, including brain tumors.
Purpose of the Study:
- To identify novel tumor-related lncRNAs associated with glioma subtypes and malignancy grades.
- To explore the potential roles of lncRNAs in glioma biogenesis, development, and differentiation.
Main Methods:
- Applied a lncRNA classification pipeline to identify 1970 lncRNAs from the Affymetrix HG-U133 Plus 2.0 array.
- Analyzed lncRNA expression patterns in 268 clinical glioma specimens to identify subtype- and grade-specific lncRNA signatures.
- Validated identified lncRNA signatures in an independent dataset of 157 glioma samples.
Main Results:
- Identified distinct sets of lncRNAs unique to different glioma histological subtypes (astrocytic vs. oligodendroglial) and malignancy grades.
- Confirmed the robustness of these lncRNA signatures through validation in an independent cohort.
- This study is the first to correlate lncRNA expression profiles with malignancy grade and histological differentiation in human gliomas.
Conclusions:
- lncRNA expression profiles can serve as biomarkers for glioma classification and grading.
- lncRNAs likely play significant roles in the development and differentiation processes of gliomas.
- These findings establish a foundation for future research into lncRNA-targeted therapies for brain tumors.
Related Concept Videos
02:39lncRNA - Long Non-coding RNAs
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 (lncRNA)...
02:39lncRNA - Long Non-coding RNAs
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 (lncRNA)...
02:24Ribosome Profiling
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 helps...
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 helps...
03:18Non-LTR Retrotransposons
As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...