RNA-Seq gene expression profiling of HepG2 cells: the influence of experimental factors and comparison with liver tissue

BMC Genomics

Vadim M Govorun³  Alexander I Archakov²  Leonid K Kurbatov²  Igor V Vakhrushev²  Pavel A Karalkin²  Elena S Kostryukova¹  Oksana V Selezneva⁴  Andrei K Larin¹  Tatiana A Semashko¹  Alexey Y Gorbachev⁴  Dmitry S Ischenko⁵  Dmitry G Alexeev⁵  Elena N Ilina⁴  Alexander V Tyakht⁴ 

[1] Kazan’ (Volga Region) Federal University, Kremlyovskaya 18, Kazan 420008, Russia;Orekhovich Institute of Biomedical Chemistry, Pogodinskaya 10, Moscow 119121, Russia;Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, GSP-7, Miklukho-Maklaya 16/10, Moscow 117997, Russia;Research Institute of Physico-Chemical Medicine, Malaya Pirogovskaya 1a, Moscow 119435, Russia;Moscow Institute of Physics and Technology, Institutskii Per. 9, Moscow Region, Dolgoprudny 141700, Russia

关键词: Experimental factors;    Differential gene expression;    RNA-Seq;    Helicos;    SOLiD;    Transcriptome;    Liver;    HepG2;   

Others  :  1127304
DOI  :  10.1186/1471-2164-15-1108

 received in 2014-07-01, accepted in 2014-12-11,  发布年份 2014

【 摘 要 】

Background

Human hepatoma HepG2 cells are used as an in vitro model of the human liver. High-throughput transcriptomic sequencing is an advanced approach for assessing the functional state of a tissue or cell type. However, the influence of experimental factors, such as the sample preparation method and inter-laboratory variation, on the transcriptomic profile has not been evaluated.

Results

The whole-transcriptome sequencing of HepG2 cells was performed using the SOLiD platform and validated using droplet digital PCR. The gene expression profile was compared to the results obtained with the same sequencing method in another laboratory and using another sample preparation method. We also compared the transcriptomic profile HepG2 cells with that of liver tissue. Comparison of the gene expression profiles between the HepG2 cell line and liver tissue revealed the highest variation, followed by HepG2 cells submitted to two different sample preparation protocols. The lowest variation was observed between HepG2 cells prepared by two different laboratories using the same protocol. The enrichment analysis of the genes that were differentially expressed between HepG2 cells and liver tissue mainly revealed the cancer-associated gene signature of HepG2 cells and the activation of the response to chemical stimuli in the liver tissue. The HepG2 transcriptome obtained with the SOLiD platform was highly correlated with the published transcriptome obtained with the Illumina and Helicos platforms, with moderate correspondence to microarrays.

Conclusions

In the present study, we assessed the influence of experimental factors on the HepG2 transcriptome and identified differences in gene expression between the HepG2 cell line and liver cells. These findings will facilitate robust experimental design in the fields of pharmacology and toxicology. Our results were supported by a comparative analysis with previous HepG2 gene expression studies.

【 授权许可】

   
2014 Tyakht et al.; licensee BioMed Central.

【 图 表 】

Figure 1.

Figure 2.

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