Single Cell Epigenomics
A special issue of Epigenomes (ISSN 2075-4655).
Deadline for manuscript submissions: closed (31 December 2018) | Viewed by 563
Special Issue Editors
Interests: PCR; cell culture; molecular biology; epigenetics; DNA methylation; chromatin; MI-2/NURD complex; breast cancer; immune
Special Issue Information
Dear Colleagues,
Key aspects of biology frequently occur in small numbers of specialized cells, where the local action of transcription factors, chromatin remodelers, and chromatin modifiers govern downstream biological events. In the past, assessment of the localization of chromatin accessibility and modification, and the proteins mediating these events, was limited to the analysis of thousands to millions of cells. Outputs from such experiments often represent averages across heterogeneous cell populations and fail to capture cell type specific information instructing key biological events in development, differentiation, response to stimuli, and disease. Recent advances in instrumentation, experimental protocols, and data analysis are providing detailed views of the epigenomes of single cells or very small numbers of cells, providing new mechanistic insights into biological processes and into variability of responses at the cellular level.
This Special Issue is focused on single cell and ultra-low input approaches to epigenetics. We will consider reviews, research or method manuscripts of exceptional interest on the following topics:
- Genome-wide analysis of histone modification(s) or chromatin accessibility in single cells or small numbers of cells
- Alternative methods to conventional chromatin immunoprecipitation applicable to single cells or small numbers of cells
- Genome-wide analysis of DNA methylation in single cells or small numbers of cells
- Technical advances in experimental platform and instrumentation that empower single cell epigenetic data collection
- Advances in single cell epigenetic data analysis, including methods for inferring cell state trajectories, integrating multiple layers of epigenomic data, and testing for differences in epigenetic profiles between states or conditions.
Dr. Paul A. Wade
Dr. Justin A. Colacino
Guest Editors
Manuscript Submission Information
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