Related Experiment Video
Updated: Mar 18, 2026
07:27
High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs
Published on: August 3, 2011
21.2K
Long non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR
Pieter Mestdagh1,2, Steve Lefever1,2, Pieter-Jan Volders1,2
1Center for Medical Genetics, Ghent University, 9000 Ghent, Belgium.
Scientific Data
|July 6, 2016
Summary
This study profiles 1707 long non-coding RNAs (lncRNAs) in cancer cell lines, providing valuable data for cancer research. The findings enable exploration of lncRNA roles in gene regulation and drug response.
Area of Science:
- Molecular Biology
- Genomics
- Cancer Research
Background:
- Long non-coding RNAs (lncRNAs) are emerging regulators of gene expression.
- Understanding lncRNA function in cancer is crucial for therapeutic development.
Purpose of the Study:
- To generate comprehensive expression profiles of human lncRNAs in the NCI60 cancer cell line panel.
- To provide a validated dataset for investigating lncRNA roles in cancer biology.
Main Methods:
- Utilized a high-throughput nanowell reverse transcription quantitative polymerase chain reaction (RT-qPCR) platform.
- Designed and validated qPCR assays for 1707 human lncRNAs.
- Processed and normalized expression data.
Main Results:
- Generated expression profiles for 1707 lncRNAs across the NCI60 cancer cell lines.
- Validated data quality by correlating lncRNA expression with cell line phenotypes and genomics.
- Provided processed and normalized data for public use.
Conclusions:
- The generated lncRNA expression dataset is a valuable resource for cancer research.
- This data facilitates the discovery of novel associations between lncRNA expression and various omics and pharmacological data.
- Enables further investigation into the regulatory roles of lncRNAs in cancer progression and drug sensitivity.
