Related Experiment Video
Updated: Mar 11, 2026
Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
Published on: November 11, 2014
Single-cell RNA-seq reveals lincRNA expression differences in Hela-S3 cells
Jie Wang1,2,3, Bhaskar Roy4,5,6
1BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China. wangjie1@genomics.cn.
Objective:
To characterize transcriptome-wide lincRNAs of Hela-S3 cell line by analyzing RNA sequencing data to provide a foundation for further functional verification and clinical application of cervical carcinoma development.
Results:
Single-cell RNA sequencing data of 37 Hela-S3 cells were analysed. On average, 511 lincRNAs were expressed in each cell. Comparing the expression difference of the lincRNAs and protein-coding genes, we found that lincRNAs expression displayed more cell specificity than that of protein-coding genes (t-test, P<2.2E-16). In co-expression network analysis, we identified seven modules and one of them was enriched in pathways of mitotic, packaging of telomere ends, and chromosome maintenance.
Conclusion:
incRNAs are specifically expressed and form a network to perform function at single cell level. Their expression was more specific than that of protein-coding genes.
Related Concept Videos
02:39lncRNA - Long Non-coding RNAs
02:39lncRNA - Long Non-coding RNAs
03:21RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
02:24Ribosome Profiling
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...