Single-molecule analysis of combinatorial epigenomic states in normal and tumor cells.
about
Analysis of single nucleic acid molecules in micro- and nano-fluidicsHistone modifications and a choice of variant: a language that helps the genome express itselfSingle molecule and single cell epigenomics.Toward understanding and exploiting tumor heterogeneitySingle-molecule decoding of combinatorially modified nucleosomesiHMS: a database integrating human histone modification data across developmental stages and tissuesMicro- and nanoscale devices for the investigation of epigenetics and chromatin dynamics.DNA methylation reprogramming in cancer: does it act by re-configuring the binding landscape of Polycomb repressive complexes?Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state.PTRcombiner: mining combinatorial regulation of gene expression from post-transcriptional interaction mapsEpigenetic regulations through DNA methylation and hydroxymethylation: clues for early pregnancy in decidualizationReprogramming the genome to totipotency in mouse embryosChromatin modifications and genomic contexts linked to dynamic DNA methylation patterns across human cell types.Distinct Cellular Assembly Stoichiometry of Polycomb Complexes on Chromatin Revealed by Single-molecule Chromatin Immunoprecipitation Imaging.Genome-wide redistribution of H3K27me3 is linked to genotoxic stress and defective growthA Tox21 Approach to Altered Epigenetic Landscapes: Assessing Epigenetic Toxicity Pathways Leading to Altered Gene Expression and Oncogenic Transformation In VitroMicro- and nanofluidic technologies for epigenetic profiling.Mapping human epigenomes.Detection and mapping of 5-methylcytosine and 5-hydroxymethylcytosine with nanopore MspA.Chromatin modification mapping in nanochannelsIdentification and interrogation of combinatorial histone modifications.Advances in the profiling of DNA modifications: cytosine methylation and beyond.Low-grade chromosomal mosaicism in human somatic and embryonic stem cell populations.Current and Emerging Technologies for the Analysis of the Genome-Wide and Locus-Specific DNA Methylation Patterns.Cancer metastasis - tricks of the trade.Systems Level Analysis of Histone H3 Post-translational Modifications (PTMs) Reveals Features of PTM Crosstalk in Chromatin Regulation.Intragenic CpG islands play important roles in bivalent chromatin assembly of developmental genesEpigenomics: one molecule at a timeSm-ChIPi: Single-Molecule Chromatin Immunoprecipitation Imaging.Genome-wide analyses reveal a role of Polycomb in promoting hypomethylation of DNA methylation valleys.Identification of coexistence of DNA methylation and H3K27me3 specifically in cancer cells as a promising target for epigenetic therapy.Active human nucleolar organizer regions are interspersed with inactive rDNA repeats in normal and tumor cells.
P2860
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P2860
Single-molecule analysis of combinatorial epigenomic states in normal and tumor cells.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Single-molecule analysis of combinatorial epigenomic states in normal and tumor cells.
@en
type
label
Single-molecule analysis of combinatorial epigenomic states in normal and tumor cells.
@en
prefLabel
Single-molecule analysis of combinatorial epigenomic states in normal and tumor cells.
@en
P2093
P2860
P356
P1476
Single-molecule analysis of combinatorial epigenomic states in normal and tumor cells.
@en
P2093
Benjamin R Cipriany
Chan Yang Ju
Christopher B Wallin
Harold G Craighead
Jaime J Benitez
James A Hagarman
Kylan Szeto
Patrick J Murphy
Paul D Soloway
P2860
P304
P356
10.1073/PNAS.1218495110
P407
P577
2013-04-22T00:00:00Z