Fei Gao

Fei Gao

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Fei Gao

BGI-shenzhen, Shenzhen, China

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 October 2012 in Genome Biology
Verified
Journal Article
Open access
PDF file
FGFei Gao
Fei Gao
XLXiaolei Liu
Xiaolei Liu
XWXiu-Ping Wu
Xiu-Ping Wu
XWXue-Lin Wang
Xue-Lin Wang
DGDesheng Gong
Desheng Gong
MLMingyuan Liu
Mingyuan Liu
Background: DNA methylation plays an essential role in regulating gene expression under a variety of conditions and it has therefore been hypothesized to underlie the transitions between life cycle stages in parasitic nematodes. So far, however, 5'-cytosine methylation has not been detected during any developmental stage of the nematode Caenorhabditis elegans. Given the new availability of high-resolution methylation detection methods, an investigation of life cycle methylation in a parasitic nematode can now be carried out. Results: Here, using MethylC-seq, we present the first study to confirm the existence of DNA methylation in the parasitic nematode Trichinella spiralis, and we characterize the methylomes of the three life-cycle stages of this food-borne infectious human pathogen. We observe a drastic increase in DNA methylation during the transition from the new born to mature stage, and we further identify parasitism-related genes that show changes in DNA methylation status between life cycle stages. Conclusions: Our data contribute to the understanding of the developmental changes that occur in an important human parasite, and raises the possibility that targeting DNA methylation processes may be a useful strategy in developing therapeutics to impede infection. In addition, our conclusion that DNA methylation is a mechanism for life cycle transition in T. spiralis prompts the question of whether this may also be the case in any other metazoans. Finally, our work constitutes the first report, to our knowledge, of DNA methylation in a nematode, prompting a re-evaluation of phyla in which this epigenetic mark was thought to be absent.

2 April 2014 in Genome Biology
Verified
Journal Article
Open access
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MDMatthew N Davies
Matthew N Davies
LKLutz Krause
Lutz Krause
JBJordana T Bell
Jordana T Bell
FGFei Gao
Fei Gao
KWKirsten J Ward
Kirsten J Ward
JWJun Wang
Jun Wang
Background: Although genetic variation is believed to contribute to an individual’s susceptibility to major depressive disorder, genome-wide association studies have not yet identified associations that could explain the full etiology of the disease. Epigenetics is increasingly believed to play a major role in the development of common clinical phenotypes, including major depressive disorder. Results: Genome-wide MeDIP-Sequencing was carried out on a total of 50 monozygotic twin pairs from the UK and Australia that are discordant for depression. We show that major depressive disorder is associated with significant hypermethylation within the coding region of ZBTB20, and is replicated in an independent cohort of 356 unrelated case-control individuals. The twins with major depressive disorder also show increased global variation in methylation in comparison with their unaffected co-twins. ZBTB20 plays an essential role in the specification of the Cornu Ammonis-1 field identity in the developing hippocampus, a region previously implicated in the development of major depressive disorder. Conclusions: Our results suggest that aberrant methylation profiles affecting the hippocampus are associated with major depressive disorder and show the potential of the epigenetic twin model in neuro-psychiatric disease.

16 January 2013 in BMC Genomics
Verified
Journal Article
Open access
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JWJunwen Wang
Junwen Wang
YXYudong Xia
Yudong Xia
Lili LiLili Li
Lili Li
DGDesheng Gong
Desheng Gong
YYYu Yao
Yu Yao
FGFei Gao
Fei Gao
Background: Reduced representation bisulfite sequencing (RRBS) was developed to measure DNA methylation of high-CG regions at single base-pair resolution, and has been widely used because of its minimal DNA requirements and cost efficacy; however, the CpG coverage of genomic regions is restricted and important regions with low-CG will be ignored in DNA methylation profiling. This method could be improved to generate a more comprehensive representation. Results: Based on in silico simulation of enzyme digestion of human and mouse genomes, we have optimized the current single-enzyme RRBS by applying double enzyme digestion in the library construction to interrogate more representative regions. CpG coverage of genomic regions was considerably increased in both high-CG and low-CG regions using the double-enzyme RRBS method, leading to more accurate detection of their average methylation levels and identification of differential methylation regions between samples. We also applied this double-enzyme RRBS method to comprehensively analyze the CpG methylation profiles of two colorectal cancer cell lines. Conclusion: The double-enzyme RRBS increases the CpG coverage of genomic regions considerably over the previous single-enzyme RRBS method, leading to more accurate detection of their average methylation levels. It will facilitate genome-wide DNA methylation studies in multiple and complex clinical samples.

24 March 2017 in Genome Medicine
Verified
Journal Article
Open access
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JCJuan Castillo-Fernandez
Juan Castillo-Fernandez
YLYuk Jing Loke
Yuk Jing Loke
SBSebastian Bass-Stringer
Sebastian Bass-Stringer
FGFei Gao
Fei Gao
YXYudong Xia
Yudong Xia
JBJordana T. Bell
Jordana T. Bell
The association of in vitro fertilisation (IVF) and DNA methylation has been studied predominantly at regulatory regions of imprinted genes and at just thousands of the ~28 million CpG sites in the human genome. We investigated the links between IVF and DNA methylation patterns in whole cord blood cells (n = 98) and cord blood mononuclear cells (n = 82) from newborn twins using genome-wide methylated DNA immunoprecipitation coupled with deep sequencing. At a false discovery rate (FDR) of 5%, we identified one significant whole blood DNA methylation change linked to conception via IVF, which was located ~3 kb upstream of TNP1, a gene previously linked to male infertility. The 46 most strongly associated signals (FDR of 25%) included a second region in a gene also previously linked to infertility, C9orf3, suggesting that our findings may in part capture the effect of parental subfertility. Using twin modelling, we observed that individual-specific environmental factors appear to be the main overall contributors of methylation variability at the FDR 25% IVF-associated differentially methylated regions, although evidence for methylation heritability was also obtained at several of these regions. We replicated previous findings of differential methylation associated with IVF at the H19/IGF2 region in cord blood mononuclear cells, and we validated the signal at C9orf3 in monozygotic twins. We also explored the impact of intracytoplasmic sperm injection on the FDR 25% signals for potential effects specific to male or female infertility factors. To our knowledge, this is the most comprehensive study of DNA methylation profiles at birth and IVF conception to date, and our results show evidence for epigenetic modifications that may in part reflect parental subfertility.

1 April 2013 in Cell Cycle
Verified
Journal Article
Open access
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JSJun-Wen Shi
Jun-Wen Shi
WLWei Liu
Wei Liu
TZTing-Ting Zhang
Ting-Ting Zhang
SWSheng-Chun Wang
Sheng-Chun Wang
XLXiao-Lin Lin
Xiao-Lin Lin
DXDong Xiao
Dong Xiao
In previous studies from other labs it has been well demonstrated that the ectopic expression of c-Myc in mammary epithelial cells can induce epithelial-mesenchymal transition (EMT), whereas in our pilot experiment, epithelial-like morphological changes were unexpectedly observed in c-Myc-expressing pig fibroblasts [i.e., porcine embryonic fibroblasts (PEFs) and porcine dermal fibroblasts (PDFs)] and pig mesenchymal stem cells, suggesting that the same c-Myc gene is entitled to trigger EMT in epithelial cells and mesenchymal-epithelial transition (MET) in fibroblasts. This prompted us to characterize the existence of a MET in c-Myc-expressing PEFs and PDFs at the molecular level. qRT-PCR, immunofluorescence and western blot analysis illustrated that epithelial-like morphological changes were accompanied by the increased expression of epithelial markers [such as cell adhesion proteins (E-cadherin, α-catenin and Bves), tight junction protein occludin and cytokeratins (Krt8 and Krt18)], the reduced expression of mesenchymal markers [vimentin, fibronectin 1 (FN1), snail1, collagen family of proteins (COL1A1, COL5A2) and matrix metalloproteinase (MMP) family (MMP12 and MMP14)] and the decreased cell motility and increased cell adhesion in c-Myc-expressing PEFs and PDFs. Furthermore, the ectopic expression of c-Myc in pig fibroblasts disrupted the stress fiber network, suppressed the formation of filopodia and lamellipodia, and resulted in RhoA/Rock pathway inactivation, which finally participates in epithelial-like morphological conversion. Taken together, these findings demonstrate, for the first time, that the enforced expression of c-Myc in fibroblasts can trigger MET, to which cytoskeleton depolymerization and RhoA/Rock pathway inactivation contribute.

18 June 2013 in BMC Genomic Data
Verified
Journal Article
Open access
PDF file
XHXiaojun Huang
Xiaojun Huang
HLHanlin Lu
Hanlin Lu
JWJun-Wen Wang
Jun-Wen Wang
LXLiqin Xu
Liqin Xu
SLSiyang Liu
Siyang Liu
FGFei Gao
Fei Gao
Background: As a well-known epigenomic modification, DNA methylation is found to be common in plants and plays an important role in many biological processes. Relying on the unique feature of methylation-dependent digestion, the family of methylation-requiring restriction-like endonuclease, such as MspJI and its homologs, was suggested for a potential usage in methylation detection. Results: In this study, we combine MspJI digestion and electrophoretic band selection with next generation high-throughput sequencing technology to detect 5-methylcytosines in Arabidopsis genome. By developing a bioinformatics workflow to attribute the CNNR sites recognized by MspJI to the reference genome, we fulfilled the systematic assessment of this method. Conclusions: According to the assessment, here we provide the method for generating a detailed map of plant methylome that could be feasible, reliable and economical in methylation investigation.