HeLa-CCL2 cell heterogeneity studied by single-cell DNA and RNA sequencing

The HeLa cells are the earliest and mostly used laboratory human cells for biomedical particularly cancer research. They were derived from a patient's cervical cancerous tissue, and are known for their heterogeneous cellular origin and variable genomic landscapes. Single-cell sequencing techniq...

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Bibliographic Details
Published in:PloS one 2019-12, Vol.14 (12), p.e0225466-e0225466
Main Authors: Hu, Wan-Er, Zhang, Xin, Guo, Qiu-Fang, Yang, Jing-Wei, Yang, Yuan, Wei, Shi-Cheng, Su, Xiao-Dong
Format: Article
Language:English
Subjects:
Bioinformatics
Biology and life sciences
Biomedical research
Cancer
Cell Culture Techniques
Cells (Biology)
Cervix
Chemokine CCL2 - metabolism
Chromosomes
Copy number
Deoxyribonucleic acid
DNA
DNA Copy Number Variations
DNA methylation
DNA sequencing
EDTA
Gene expression
Gene Expression Profiling
Gene sequencing
Genetic Heterogeneity
Genome, Human
Genomes
Genomics
HeLa Cells
Heterogeneity
Humans
Information management
Interdisciplinary aspects
Karyotyping
Laboratories
Monocyte chemoattractant protein 1
Mutation
Proteins
Research and analysis methods
Ribonucleic acid
RNA
RNA sequencing
Sequence Analysis, RNA
Single-Cell Analysis
Stem cells
Transcriptome - genetics
Tumors
Whole Genome Sequencing
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Summary:The HeLa cells are the earliest and mostly used laboratory human cells for biomedical particularly cancer research. They were derived from a patient's cervical cancerous tissue, and are known for their heterogeneous cellular origin and variable genomic landscapes. Single-cell sequencing techniques with faithful linear and uniformly amplified genomes (DNA) and transcriptomes (RNA) may facilitate the study of cellular differences at the individual cell level. In this work, we have performed single-cell DNA and RNA sequencing with HeLa-CCL2 cells to study their heterogeneity. We have studied the complexity of copy number variations (CNVs) of HeLa-CCL2 genome at the single cell level, and revealed the transcriptomic heterogeneity of HeLa-CCL2. We also analyzed the relationship between genome and transcriptome at the single-cell level, and found overall correlation between CNV and transcriptome expression patterns. Finally, we concluded that although single-cell sequencing techniques are applicable to study heterogeneous cells such as HeLa-CCL2, the data analyses need to be more careful and well controlled.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0225466