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Multi-omics maps of cotton fibre reveal epigenetic basis for staged single-cell differentiation.

ABSTRACT: Epigenetic modifications are highlighted for their great importance in regulating plant development, but their function associated with single-cell differentiation remains undetermined. Here, we used the cotton fibre, which is the epidermal hair on the cotton ovule, as a model to investigate the regulatory role of DNA methylation in cell differentiation. The level of CHH (H = A, T, or C) DNA methylation level was found to increase during fibre development, accompanied by a decrease in RNA-directed DNA methylation (RdDM). Examination of nucleosome positioning revealed a gradual transition from euchromatin to heterochromatin for chromatin dynamics in developing fibres, which could shape the DNA methylation landscape. The observed increase in DNA methylation in fibres, compared with other ovule tissue, was demonstrated to be mediated predominantly by an active H3K9me2-dependent pathway rather than the RdDM pathway, which was inactive. Furthermore, integrated multi-omics analyses revealed that dynamic DNA methylation played a role in the regulation of lipid biosynthesis and spatio-temporal modulation of reactive oxygen species during fibre differentiation. Our study illustrates two divergent pathways mediating a continuous increase of DNA methylation and also sheds further light on the epigenetic basis for single-cell differentiation in plants. These data and analyses are made available to the wider research community through a comprehensive web portal.

SUBMITTER: Wang M

PROVIDER: S-EPMC4872108 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Multi-omics maps of cotton fibre reveal epigenetic basis for staged single-cell differentiation.

Wang Maojun M Wang Pengcheng P Tu Lili L Zhu Sitao S Zhang Lin L Li Zhonghua Z Zhang Qinghua Q Yuan Daojun D Zhang Xianlong X

Nucleic acids research 20160411 9

Epigenetic modifications are highlighted for their great importance in regulating plant development, but their function associated with single-cell differentiation remains undetermined. Here, we used the cotton fibre, which is the epidermal hair on the cotton ovule, as a model to investigate the regulatory role of DNA methylation in cell differentiation. The level of CHH (H = A, T, or C) DNA methylation level was found to increase during fibre development, accompanied by a decrease in RNA-direct ...[more]

PMID: 27067544

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Project description:Uncovering the functionally essential variations related to tumorigenesis and tumor progression from cancer genomics data is still challenging due to the genetic diversity among patients, and extensive inter- and intra-tumoral heterogeneity at different levels of gene expression regulation, including but not limited to the genomic, epigenomic, and transcriptional levels. To minimize the impact of germline genetic heterogeneities, in this study, we establish multiple primary cultures from the primary and recurrent tumors of a single patient with hepatocellular carcinoma (HCC). Multi-omics sequencing was performed for these cultures that encompass the diversity of tumor cells from the same patient. Variations in the genome sequence, epigenetic modification, and gene expression are used to infer the phylogenetic relationships of these cell cultures. We find the discrepancy among the relationships revealed by single nucleotide variations (SNVs) and transcriptional/epigenomic profiles from the cell cultures. We fail to find overlap between sample-specific mutated genes and differentially expressed genes (DEGs), suggesting that most of the heterogeneous SNVs among tumor stages or lineages of the patient are functionally insignificant. Moreover, copy number alterations (CNAs) and DNA methylation variation within gene bodies, rather than promoters, are significantly correlated with gene expression variability among these cell cultures. Pathway analysis of CNA/DNA methylation-related genes indicates that a single cell clone from the recurrent tumor exhibits distinct cellular characteristics and tumorigenicity, and such an observation is further confirmed by cellular experiments both in vitro and in vivo. Our systematic analysis reveals that CNAs and epigenomic changes, rather than SNVs, are more likely to contribute to the phenotypic diversity among subpopulations in the tumor. These findings suggest that new therapeutic strategies targeting gene dosage and epigenetic modification should be considered in personalized cancer medicine. This culture model may be applied to the further identification of plausible determinants of cancer metastasis and relapse.

Dataset Information

Multi-omics maps of cotton fibre reveal epigenetic basis for staged single-cell differentiation.

Publications

Multi-omics maps of cotton fibre reveal epigenetic basis for staged single-cell differentiation.

Similar Datasets

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