Single-Cell DNA Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics
Open Access
- 26 February 2015
- journal article
- research article
- Published by Elsevier BV in Cell Reports
- Vol. 10 (8), 1386-1397
- https://doi.org/10.1016/j.celrep.2015.02.001
Abstract
• High-throughput bisulfite sequencing assay for low-input and single-cell samples • Single-cell methylomes for in vitro models (K562 AzaC, HL60 VitD, and mES 2i/ATRA/EB) • Bioinformatic method for inferring cell-state dynamics from sparse methylome data • Identification of genomic region types with consistent changes among single cellsKeywords
This publication has 40 references indexed in Scilit:
- Identifying and Characterizing Regulatory Sequences in the Human Genome with Chromatin Accessibility AssaysGenes, 2012
- An integrated encyclopedia of DNA elements in the human genomeNature, 2012
- DNA Methylation Screening Identifies Driver Epigenetic Events of Cancer Cell SurvivalCancer Cell, 2012
- A unique regulatory phase of DNA methylation in the early mammalian embryoNature, 2012
- DNA-binding factors shape the mouse methylome at distal regulatory regionsNature, 2011
- Dynamic CpG island methylation landscape in oocytes and preimplantation embryosNature Genetics, 2011
- Reference Maps of Human ES and iPS Cell Variation Enable High-Throughput Characterization of Pluripotent Cell LinesCell, 2011
- Quantitative comparison of genome-wide DNA methylation mapping technologiesNature Biotechnology, 2010
- Highly Integrated Single-Base Resolution Maps of the Epigenome in ArabidopsisCell, 2008
- Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterningNature, 2008