ライフサイエンスコーパス: methylome

1 are being used to characterize the "protein methylome".

2 ensive reorganization of the dorsal striatal methylome.

3 nd accounts for approximately 85-90 % of the methylome.

4 own about the 'landscape' of the human brain methylome.

5 principal determinant of the human brain DNA methylome.

6 test the link between transcription and the methylome.

7 f DNA modifications comprising the bacterial methylome.

8 how histone modifications can shape the DNA methylome.

9 lung carcinogenesis by regulating the human methylome.

10 h a substantial reorganization of the cancer methylome.

11 of pathogenic events may be preserved in the methylome.

12 tically normal AML is alterations to the DNA methylome.

13 m is suitable for investigation of the mouse methylome.

14 tive genome-wide investigations of the brain methylome.

15 nalyze data from mouse brain and human blood methylomes.

16 idely accessible strategy to create full DNA methylomes.

17 opportunity to map and compare complete DNA methylomes.

18 seeds to publicly available seed development methylomes.

19 We surveyed blood DNA methylomes (~483,000 individual CpG sites) in 168 subjec

20 est collection of transcriptomes (>1000) and methylomes (77) across Viridiplantae, we provide novel i

21 In a replication set of 2084 DNA methylomes, 95.7 % of the age-associated differentially

22 ection results in global deregulation of the methylome across >80,000 CpGs and specific hypomethylati

23 Our rich catalogue of haploid methylomes across multiple tissues will allow validation

24 set of 2238 peripheral-blood genome-wide DNA methylomes aged 19-82 years, we identify 71 age-associat

25 l measures the rate at which an individual's methylome ages, which we show is impacted by gender and

26 Further unbiased scanning of ICF1-iPSC methylomes also identifies large megabase regions of CG

27 DNA methylome alterations in the prefrontal cortex (PFC) may

28 inhibition of restriction and PacBio-derived methylome analyses of mutants and phase-variants, the cj

29 Global gene-expression and methylome analyses of TKO EBs revealed promoter hypermet

30 Genome-wide transcriptome and DNA methylome analysis indicated that iPSC derivatives (iPSC

31 mor vs. matching normal), transcriptome, and methylome analysis of 30 pure high-grade DCIS (HG-DCIS)

32 Here, we perform methylome analysis of actively dividing and deeply senes

33 In this study, we conducted a DNA methylome analysis of bone marrow-derived stromal cells

34 Methylome analysis of Tn4 B cells, which harbor a silenc

35 Methylome analysis revealed hypermethylation at a distal

36 The methylome analysis revealed that SCN induces hypomethyla

37 Base-resolution methylome analysis reveals progressive DNA demethylation

38 as genome analysis reveals their genes, and methylome analysis reveals their recognition sequences.

39 re, we use single molecule, real-time (SMRT) methylome analysis to identify the DNA-recognition motif

40 ugs alongside genome, transcriptome, and DNA methylome analysis to understand determinants of drug re

41 Single molecule, real-time (SMRT) methylome analysis was used to identify the recognition

42 cule, real-time (SMRT) genome sequencing and methylome analysis, we have determined that the ModM2 me

43 ducting next-generation sequencing-based DNA methylome analysis, we have discovered marked hypermethy

44 on assays and mutagenesis confirmed the SMRT methylome analysis.

45 odification in conjugation with conventional methylome analysis.

46 Therefore, we conclude that paternal methylome and at least a significant proportion of mater

47 t only assay a very small fraction of the CG methylome and entirely miss two forms of methylation tha

48 mined the Arabidopsis thaliana Atmet1 mutant methylome and found a similar pattern of methylation los

49 We further explored the islet methylome and found a strong link between methylation le

50 the genome-wide, C(5) -Methyl-cytosine (m5C) methylome and its correlation to global transcription in

51 ted, and confirming the programmed nature of methylome and phenotype changes.

52 approaches reveal distinct classes of m(1)A methylome and provide a resource for functional studies

53 , by interrogating a large proportion of the methylome and returning potentially novel age DMRs, in a

54 genome-wide technologies to characterize the methylome and the correlation between DNA methylation an

55 resolution map of the mammalian cardiac DNA methylome and the first case-control analysis of the cha

56 Here we profile the DNA methylome and the transcriptome of B-lymphocyte subsets

57 evels, and visceral white adipose tissue DNA methylome and transcriptome collectively indicate that t

58 Collectively, our results show specific methylome and transcriptome defects in both ICF1-iPSCs a

59 T-seq) that simultaneously profiles both DNA methylome and transcriptome from the same cell.

60 , we show, through extensive analysis of the methylome and transcriptome in 34 tissues, that in many

61 method for parallel single-cell genome-wide methylome and transcriptome sequencing that allows for t

62 terest with minimal impact on the global DNA methylome and transcriptome.

63 We then analyzed interactions between the methylome and transcriptome.

64 Integrated analyses of DNA methylome and tri-methylation at lysine 27 of histone H3

65 rt 1,107 high-quality single-base resolution methylomes and 1,203 transcriptomes from the 1001 Genome

66 Comparative analysis of methylomes and hydroxymethylomes revealed that 5hmC is s

67 global epigenomic change in mammalian sperm methylomes and point to a divergence in trans-epigenetic

68 stering highlighted differences between SBOT methylomes and returned subgroups with malignant- or ben

69 uncover fundamental differences among animal methylomes and suggest that DNA methylation is dispensab

70 and provided a genome-wide landscape of DNA methylomes and their relationship with mRNA and miRNA fo

71 cells and CD8-positive T cells are similar, methylomes and transcriptomes in malignant B-1a and CD8+

72 Here, we profiled DNA methylomes and transcriptomes of monocytes derived from

73 We profiled the transcriptome, DNA methylome, and histone modifications of young and old mu

74 Using transcriptome, methylome, and pathway analyses in CD4+ T cells, we show

75 method can be used to detect transcriptome, methylome, and single nucleotide polymorphism informatio

76 hese data reveal dynamic transcriptomes, DNA methylomes, and 3D chromatin landscapes during the earli

77 MethQTLs were readily detected in neonatal methylomes, and genotype alone best explained approximat

78 Genome-wide methylome- and transcriptome-profiling of intestinal epi

79 leads to impacts on the early embryonic DNA methylome; and (3) TDCIPP-induced impacts on cytosine me

80 the principle processes altering the hybrid methylome are Trans Chromosomal Methylation (TCM) and Tr

81 Unlike expression profiles, DNA methylomes are highly similar between sexes within speci

82 antage of this approach is that if reference methylomes are not (publicly) available, they will need

83 lobal but predictable changes impact the DNA methylome as we age, acting as a type of molecular clock

84 The DNA methylome, as part of the epigenome, contributes signifi

85 In addition, further methylome assessments revealed that breast cancer aggres

86 We investigated 322 healthy human skin DNA methylomes associated with total body nevi count, incorp

87 ell development can impact the male germline methylome, associated with metabolic disease in offsprin

88 Moreover, the twins differed in the methylome at loci near several genes, including EGFR and

89 develop an extensive catalogue of human DNA methylomes at base resolution to better understand the r

90 Herein, we obtained the DNA methylomes at single-base resolution of Madin-Darby cani

91 advances have made it possible to decode DNA methylomes at single-base-pair resolution under various

92 ation have similarly critical impacts on the methylome, but the biological functions affected strongl

93 Definition of the oocyte DNA methylome by whole genome approaches revealed that the m

94 e cell cycle-regulated genes and recover the methylome changes during the cell cycle.

95 A comparison of our data with reported methylome changes in cells infected with M. tuberculosis

96 The transcriptome and CpG methylome changes in response to cisplatin treatment of

97 The impact of methylome changes on gene expression and thereby on the

98 ough not much is known about the endometrial methylome changes throughout the menstrual cycle.

99 were any of the six excess light-associated methylome changes.

100 Whole-methylome comparison of human alpha- and beta-cells reve

101 Accordingly, neonate methylomes contain molecular memory of the individual in

102 e computational side, our goal is to develop methylome data analysis protocols for the integrated ana

103 Methylome data from human early embryos appear to suppor

104 erated tissue-specific transcriptome and DNA methylome data from sorghum shoots, roots and developing

105 technologies have promoted the production of methylome data that contain comprehensive knowledge of h

106 ons, we have gathered single-base resolution methylome data that span the phylogenetic breadth of lan

107 tational identification from high-throughput methylome data.

108 which we confirmed using tissue-specific DNA methylome data.

109 he Cancer Genome Atlas project breast cancer methylome database.

110 We interrogated tissue-specific methylome databases to identify cell type-specific DNA m

111 ge, with both species showing an increase in methylome disorder during aging.

112 We observed interstrain variation in methylomes due to phase variation in genes encoding meth

113 f DNA methylation and the dynamic changes of methylomes during disease onset and progression.

114 directional influences of the viral-host RNA methylomes during HIV-1 infection of human CD4 T cells.

115 ts exhibit heterogeneous evolution of tumour methylomes during relapse.

116 A comparison of DNA methylome dynamics during differentiation from human mon

117 donor in cytosine methylation, regulates the methylome dynamics during this process.

118 nt is still largely restricted to target DNA methylome, emerging evidence indicates that histone meth

119 Genomic DNA methylation maps (methylomes) encode genetic and environmental effects as

120 the DEGs is not directly associated with DNA methylome epimutations.

121 Our results provide new insights into methylome evolution and its population-level consequence

122 Single-nucleus methylomes expand the atlas of brain cell types and iden

123 Integrating the DNA methylome findings with T2D GWAS meta-analysis results r

124 We mapped the whole genome and whole methylome for potential anomalies of mutations or epimut

125 We generated base-resolution DNA methylomes for a series of DNMT knockout embryonic stem

126 Reference methylomes for both soybean and common bean were constru

127 gation of transcriptomes and base-resolution methylomes for early lineages in peri- and postimplantat

128 -base resolution DNA methylation states, DNA methylomes for many crop species are available.

129 ng was used to produce nucleotide resolution methylomes for soybean and common bean.

130 we show that the single base-resolution DNA methylome from adult mouse dentate neurons consists of b

131 Temporal analysis of the transcriptome and methylome from germination to young seedlings under aero

132 We gathered 51 human and mouse DNA methylomes from brain neurons, embryonic stem cells and

133 As (miRNAs), and multiple transcriptomes and methylomes from individual brains in a wasp (Polistes ca

134 ing interventions, we analyzed 28 additional methylomes from mice subjected to lifespan-extending con

135 single-base resolution, allele-specific DNA methylomes from mouse gametes, early embryos, and primor

136 We generated >6000 methylomes from single neuronal nuclei and used them to

137 We profiled soybean and Arabidopsis methylomes from the globular stage through dormancy and

138 only appropriate for the analysis of ancient methylomes from very well preserved samples, where both

139 nvestigate the relationships between the DNA methylome, genome function, and human phenotypes.

140 By means of high-resolution CpG methylomes, genome editing, and digital footprinting, we

141 t least a significant proportion of maternal methylome go through active demethylation during embryon

142 The average CRC methylome has hundreds to thousands of abnormally methyl

143 Deep sequencing of mammalian DNA methylomes has uncovered a previously unpredicted number

144 , we consistently identify transcriptome and methylome heterogeneity among single cells but the major

145 ensive analysis of the interplay between the methylome, hydroxymethylome, and histone modifications d

146 ly large dataset comprising healthy skin DNA methylomes identified known and additional regulatory lo

147 Our findings, based on 772 methylomes, implicate epigenetic changes that could cont

148 e molecular regulation and targeting histone methylome in AML together with the success in developing

149 nstrating a crucial role for the H3K4 global methylome in determining LSC fate.

150 stomere-specific signature and a dynamic DNA methylome in expanded potential stem cells.

151 e the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitativ

152 des a comprehensive picture of the islet DNA methylome in individuals with and without diabetes and h

153 Determination of the base-resolution DNA methylome in intestinal stem cells and their differentia

154 n and function of m(6)A by mapping the m(6)A methylome in mouse and human embryonic stem cells.

155 ges of canine DLBCL, we investigated the DNA methylome in primary DLBCLs in comparison with control l

156 In this study, we characterized the DNA methylome in primary T cells of patients with systemic s

157 is of RA risk alleles, the transcriptome and methylome in RA FLS, we recently identified the limb bud

158 lates DNA methyltransferase to reprogram the methylome in response to an environmental toxin.

159 iption, and report distinct classes of m(1)A methylome in the human transcriptome.

160 Finally, we had studied the methylome in the most frequent intraocular tumors in adu

161 The dynamic resetting of the DNA methylome in the neobladder not only implicates local en

162 on messenger RNA (mRNA) and mapping of m(6)A methylomes in mammals and yeast have revealed potential

163 e expression data with global cytosine-5 RNA methylomes in patient fibroblasts and NSun2-deficient mi

164 the analysis of high- or low-resolution DNA methylomes in several species, accommodating (hydroxy-)m

165 Here, we report on DNA methylomes in TET2 wild-type (TET2-WT) and mutant (TET2-

166 pare the differences between the cardiac DNA methylomes in the basal state between strains and then a

167 ntial variability algorithms in over 700 DNA methylomes, including two of the largest cohorts profili

168 eloped a tool that dynamically segments WGBS methylomes into blocks of comethylation (COMETs) from wh

169 that allows the decomposition of complex DNA methylomes into latent methylation components and their

170 entified heritable loci will increase as the methylome is assayed across a broader range of cell type

171 Genetic influence on the human blood methylome is common, involves several heterogeneous proc

172 me, emerging evidence indicates that histone methylome is indeed another major epigenetic determinant

173 hat a large proportion of the C. biroi brain methylome is robust.

174 understand the degree to which the offspring methylome is sensitive to the intensity and duration of

175 tistical analyses showed that (i) 15% of the methylome is significantly heritable, with a median heri

176 The methylome is subject to genetic and environmental effect

177 The reprogramming of parental methylomes is essential for embryonic development.

178 also indicated that proper reprogramming in methylomes is required for asexual reproduction in the f

179 A methyltransferase and that Dnmt2-dependent methylomes lack defined DNA methylation patterns, thus n

180 We generate methylome maps for four sample types at single-base reso

181 , we provide detailed functional genome-wide methylome maps of 5 primary peripheral blood leukocyte s

182 e, we generate and compare comprehensive DNA methylome maps of zebrafish developing embryos.

183 Here, using high-resolution methylome maps, we show that DNA methylation could play

184 sting that severe perturbations of the maize methylome may have stronger deleterious phenotypic effec

185 port single-base-resolution whole-genome DNA methylomes, mRNA transcriptomes and small RNA transcript

186 c binding proteins of m(6)A as well as m(6)A methylomes obtained in mammals, yeast and plants have re

187 Functionally, the DNA methylomes obtained suggest that transcription factors c

188 -specific and pathogen-common changes in the methylome occur following infection.

189 Here we analyse the DNA methylome of 569 breast tissue samples, including 50 fro

190 Here, we explored the CD4(+) T-cell DNA methylome of 68 poly-articular and extended oligo-articu

191 to analyse high-throughput sequencing of the methylome of any given organism under a diverse set of e

192 nducted to assess the dynamic changes in the methylome of Arabidopsis roots in response to H. schacht

193 Although the DNA methylome of early human embryos has been analyzed (4-6)

194 Here we characterize the DNA methylome of endocrine sensitivity and demonstrate the p

195 -world levels of nanoparticles can alter the methylome of exposed cells; this could have enormous imp

196 onment of F1 embryos alters the germline DNA methylome of F1 adult males in a locus-specific manner.

197 Profiling of the m(6)A methylome of host mRNAs reveals that ZIKV infection alte

198 We applied our method to sequence the methylome of human DNA, without requiring special steps

199 Here we systematically profile the methylome of human early embryos from the zygotic stage

200 s insights into the critical features of the methylome of human early embryos, as well as its functio

201 We discovered that the transcriptome and methylome of human germline is distinct from both human

202 While analyzing the DNA methylome of multiple myeloma (MM), a plasma cell neopla

203 Further, characterization of the DNA methylome of skeletal muscle demonstrates numerous local

204 We analyzed the DNA methylome of ten subpopulations spanning the entire B ce

205 Here we compare the DNA methylome of the fimbrial and proximal ends of the fallo

206 of direct measurements of transcriptome and methylome of the same cell, the association is still unc

207 ggests that targeting the population dynamic methylome of tissues requires assessment of understudied

208 Second, we have characterized the DNA methylome of visual disorders linked to internal and ext

209 igenetic-aging model in mice using the liver methylomes of 107 mice from 0.2 to 26.0 months old.

210 ort a global analysis of the whole-blood DNA methylomes of 137 HIV+ individuals under sustained thera

211 We examined postmortem PFC DNA methylomes of 16 male and seven female pairs of AUD and

212 We surveyed the genotypes and DNA methylomes of 237 neonates and found 1423 punctuate regi

213 cies, we compared single base resolution DNA methylomes of 34 diverse angiosperm species.

214 Here we have surveyed the methylomes of a comprehensive list of 86 Arabidopsis gen

215 A; however, this depends on knowledge of the methylomes of circulating cell-free DNA and its cellular

216 pplication of the BPPM technology to profile methylomes of diverse PMTs and elucidate their downstrea

217 Utilizing nucleotide-resolution methylomes of diverse samples, we show that nearly 2000

218 orms the plant body, we compared time-series methylomes of dry and germinating seeds to publicly avai

219 bset specific methylated (CSM) loci from the methylomes of human and mouse frontal cortices at differ

220 DNA methylomes of neonatal keratinocytes share many more DMR

221 We investigated DNA methylomes of pediatric B-cell acute lymphoblastic leuke

222 Comparison of the methylomes of placenta and non-pregnant circulating cell

223 van Doorn et al. have defined the DNA methylomes of Sezary cells based on a genome-wide methyl

224 ation patterns in human, we analyzed the DNA methylomes of somatic and germ cells in a four-generatio

225 The methylomes of these well-characterized H. pylori strains

226 We have determined the comprehensive methylomes of two H. pylori strains at single base resol

227 NA sequencing of genomes, transcriptomes and methylomes of wild Arabidopsis thaliana accessions.

228 Correlated well with the methylome, our transcriptomic data showed that the genes

229 functional information related to estimated methylomes, our proposed method provides a novel and use

230 general lack of highly methylated regions or methylome patterning in both species may be an important

231 Individual cell line analyses showed global methylome patterns with overall methylation levels rangi

232 tome (RNA-seq, qPCR, sRNA-seq, and PARE) and methylome profiling during repeated excess-light stress

233 Here, we performed methylome profiling in normal and DS fetal cortices and

234 Methylome profiling of oocytes deficient in H3K4 demethy

235 Methylome profiling was done with the Illumina HumanMeth

236 Furthermore, our DNA methylomes provide a foundation for future studies explo

237 This work indicates that the GATC methylome provides structural support for bacterial surv

238 Widespread methylome reconfiguration occurs during fetal to young a

239 valuating the extent to which the underlying methylomes reflect specific types of cells.

240 ccelerated, we show that the double-knockout methylome reflects regions of independent, competitive a

241 uencing-based methods for studying bacterial methylomes rely on a population-level consensus that lac

242 Our study showed that the overall methylome remains relatively stable during this stage of

243 Although the adenine methylome remains stable during drug stress, without GAT

244 These methylomes reveal distinct patterns of methylation.

245 ing (MAPit-BGS) and nucleosome occupancy and methylome sequencing (NOMe-seq) have been developed for

246 Nucleosome occupancy and methylome sequencing analysis indicated that in most FSH

247 Here we performed single-cell DNA methylome sequencing for human preimplantation embryos a

248 all pools of cells and performed single-cell methylome sequencing to assess cell-to-cell heterogeneit

249 Here, we performed transcriptome and methylome sequencing to quantify expression and DNA meth

250 Here we use whole-genome and whole-methylome sequencing to test if a specific environmental

251 ty was observed via Nucleosome Occupancy and Methylome Sequencing, a high-resolution in vivo footprin

252 Using methylome sequencing, we confirmed that representative s

253 Here I adapted Nucleosome Occupancy and Methylome-sequencing (NOMe-seq) to measure chromatin acc

254 ing of NSD1 displayed a specific genome-wide methylome signature consistent with the NSD1 mutation me

255 signature consistent with the NSD1 mutation methylome signature observed in Sotos syndrome.

256 tabolism providing evidence for a 'core' m5C methylome spanning different ocean regions.

257 ble option available for comprehensive brain methylome studies, enrichment methods may be critical fo

258 ioinformatic investigation of the genome and methylome suggested that RIP and DNA methylation combina

259 striking similarities between SBOT and LGSC methylomes, supporting a common origin and the view that

260 Single-cell transcriptome and single-cell methylome technologies have become powerful tools to stu

261 was a far stronger contributor to the sperm methylome than was the diet consumed.

262 its evolutionary rate or the fraction of the methylome that has undergone change.

263 ata define a stem cell commitment-associated methylome that is independently prognostic of poorer ove

264 ates and found 1423 punctuate regions of the methylome that were highly variable across individuals,

265 Here we report high coverage methylomes that catalogue cytosine methylation in all co

266 iations with underlying phenotypic data; and methylomes that reflect the underlying biology of consti

267 and the extent of the mitochondrial protein methylome, the modifying methyltransferases, and their s

268 ative cell types defined by their underlying methylomes, the number of these constituent cell types,

269 To facilitate further mining of the disease methylome, three new web tools were developed for cluste

270 we investigated the malleability of the DNA methylome to drought stress within a generation and unde

271 se findings emphasize the sensitivity of the methylome to maternal smoking during early development a

272 assessed for whole genome level profiling of methylome, transcriptome and miRNA using Next Generation

273 PLA7, demonstrated significant difference on methylome, transcriptome and protein level.

274 and cord blood; a lack of correlation of the methylome, transcriptome, and proteome; and a complex re

275 took an integrative approach to analyze the methylomes, transcriptomes, and copy number variations i

276 Sequencing of methylomes, transcriptomes, and genomes of selected pare

277 These processes comprise abnormal methylomes, transcriptosomes, genome-wide histone post-t

278 at the recommend 30X coverage for reference methylomes, up to 50% of high-resolution features such a

279 efficiency for high-density interrogation of methylome variability by systematic comparisons with oth

280 e-genome bisulfite sequencing in identifying methylome variation beyond promoter regions, and suggest

281 We analyzed genome and methylome variations in a fully virulent strain of H pyl

282 riptome and the pattern of DNA methylation ('methylome'), we analyzed AID-deficient (Aicda(-/-)), wil

283 ly, using a population sample of 4,004 blood methylomes, we define patterns of epigenetic variation a

284 Through analysis of tumor methylomes, we discovered TET1 as a methylated target, a

285 Applying this model to the sperm methylomes, we uncovered an overall evolutionary expansi

286 While drought-associated epi-alleles in the methylome were detected within a generation, they did no

287 The predominant changes in methylomes were loci in the promoters of genes encoding

288 associated with causative changes in the DNA methylome, which appears relatively impervious to drough

289 datasets largely recapitulated the whole DNA methylome, which makes scBS-seq a versatile tool to expl

290 ethylated CpGs (scUMCs) from 31 high-quality methylomes, which are enriched in distal interacting anc

291 uencing (MCC-Seq), for sequencing functional methylomes, while simultaneously providing genetic varia

292 Methylome-wide association studies are typically perform

293 Here we perform a methylome-wide association study (MWAS) of aging in whol

294 Critical top findings from our methylome-wide association study (MWAS) were replicated

295 Using a Methylome-wide association study in a Brazilian cohort (

296 The decomposition of blood methylome-wide patterns bears considerable potential for

297 ) levels of four brain tissues at up to 1826 methylome-wide sites in 6259 patients with Parkinson's d

298 experience similar patterns of change in the methylome with age.

299 We assayed the GBM methylome with MeDIP-seq and MRE-seq, adjusting for copy

300 on of genome-wide DNA methylation profiles ('methylomes') with Cav1 expression in 30 breast cancer ce