2015
DOI: 10.1038/nrg3980
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Single-cell epigenomics: techniques and emerging applications

Abstract: Epigenomics is the study of the physical modifications, associations and conformations of genomic DNA sequences, with the aim of linking these with epigenetic memory, cellular identity and tissue-specific functions. While current techniques in the field are characterizing the average epigenomic features across large cell ensembles, the increasing interest in the epigenetics within complex and heterogeneous tissues is driving the development of single-cell epigenomics. We review emerging single-cell methods for… Show more

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Cited by 240 publications
(155 citation statements)
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References 122 publications
(122 reference statements)
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“…More recently, a variety of single cell epigenomic assays have been developed (Clark et al, 2016; Schwartzman and Tanay, 2015). These methods allow assessment of chromosome conformation, open chromatin and DNA methylation, among others, providing complementary approaches to transcriptome profiling for classifying cell types based on differences in their epigenomic landscapes.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, a variety of single cell epigenomic assays have been developed (Clark et al, 2016; Schwartzman and Tanay, 2015). These methods allow assessment of chromosome conformation, open chromatin and DNA methylation, among others, providing complementary approaches to transcriptome profiling for classifying cell types based on differences in their epigenomic landscapes.…”
Section: Introductionmentioning
confidence: 99%
“…This result in providing the complete catalogue of average profile of the diverse cell types [43,44]. Average profile of diverse cell types fails to describe the …”
Section: Single Cell Epigenomicsmentioning
confidence: 99%
“…The genomewide distribution of these and other chromatin features, like binding sites of transcription factors, contact frequencies between genomic loci, and transcriptional activity, can routinely be assessed by deep sequencing (1). Recent methodological developments enable the analysis of low cell numbers or even single cells (3)(4)(5), the simultaneous readout of various features (6), and the measurement of site-specific binding dynamics (7). Thus, sequencing data at unprecedented resolution and throughput are becoming available, providing a rich source of information on molecular networks that shape the chromatin landscape.…”
Section: Introductionmentioning
confidence: 99%