ライフサイエンスコーパス: methylome

1 ke on the cord blood [Formula: see text] DNA methylome.

2 capture panel to interrogate the human sperm methylome.

3 into how life experience may shape the brain methylome.

4 tically normal AML is alterations to the DNA methylome.

5 m is suitable for investigation of the mouse methylome.

6 tive genome-wide investigations of the brain methylome.

7 ensive reorganization of the dorsal striatal methylome.

8 tential off-targets on the transcriptome and methylome.

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

10 sine, which provides insight into the lysine methylome.

11 ty by uncovering the single-fragment non-CpG methylome.

12 effect of M. bovis infection on the bAM DNA methylome.

13 d its integration with the transcriptome and methylome.

14 has boosted the number of publicly available methylomes.

15 le research investigations interrogating DNA methylomes.

16 seeds to publicly available seed development methylomes.

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

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

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

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

21 whole exomes, copy number profiles, and DNA methylomes across 44 patient-derived glioblastoma stem c

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

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

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

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

26 Here, we performed whole methylome analyses of placentas from a prospective study

27 gher quality, more comprehensive and cheaper methylome analyses.

28 We have also recently undertaken DNA methylome analysis (850,000 + CpG sites) in human skelet

29 Plasma methylome analysis can accurately quantitate tumor fract

30 In 76 central nervous system tumors, methylome analysis confirmed diagnosis in 71.1% of patie

31 Genome-wide methylome analysis indicated dynamic changes on promoter

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

33 Genome-wide methylome analysis integrated with RNAseq and network-ba

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

35 Here, we perform a comprehensive DNA methylome analysis of C. difficile using 36 human isolat

36 we have performed a comprehensive RNAseq and methylome analysis of the main clades of the MTBC and di

37 DNA methylome analysis revealed excessive hypermethylation o

38 Methylome analysis revealed hypermethylation at a distal

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

40 the ozone versus clean air effect on the DNA methylome and calculated Fisher-exact p-values for a ser

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

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

43 ving methylation variations, and prioritizes methylome and gene-expression changes that likely mediat

44 quantification of the transcriptome and DNA methylome and genotyping.

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

46 biology approaches, including transcriptome, methylome and proteome profiling and functional screenin

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

48 or targeted interrogation of the human sperm methylome and test its ability to detect effects of alte

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

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

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

52 Our results provide novel and comprehensive methylome and transcriptome data from distinct cell popu

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

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

55 Methylome and transcriptome profiling identified several

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

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

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

59 arge integrated study of whole-genome, whole-methylome and whole-transcriptome sequencing in metastat

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

61 s, cis-regulatory elements, heterochromatin, methylomes and 3D genome organization in the zebrafish T

62 ption until birth, including transcriptomes, methylomes and chromatin states.

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

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

65 Here we analyzed DNA methylomes and transcriptomes from tissues of animals an

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

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

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

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

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

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

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

73 ic alterations; alters the transcriptome and methylome; and impairs xenograft tumor formation.

74 Indeed, as the number of mapped bacterial methylomes approaches 2,000, increasing evidence support

75 Since DNA methylomes are highly cell type specific, deconvolution

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

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

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

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

80 Here, we performed a genome-wide methylome association analysis in 500 subjects with DKD

81 Here, we present methylome association by predictive linkage to expressio

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

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

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

85 nce of an overall effect of ozone on the DNA methylome but some suggestive changes in PLSCR1, HCAR1,

86 is accompanied by altered transcriptome and methylome, but glycosphingolipid (GSL) profiles in naive

87 int functional characterization of bacterial methylomes by the microbiology community.

88 populations with profound differences in the methylome, cellular physiology and virulence.

89 However, methylome changes across the time-course of differentiat

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

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

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

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

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

95 rnal lineage, which was independent of sperm methylome changes.

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

97 To address this, we determined the DNA methylomes, chromatin accessibility profiles and transcr

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

99 Indeed, the samples' methylomes consistently clustered by patriline within co

100 omputational tools for analyzing single-cell methylome data are lagging far behind.

101 Methylome data from human early embryos appear to suppor

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

103 When applied to TF ChIP-seq and DNA methylome data in H1 and GM12878, our method successfull

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

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

106 tational identification from high-throughput methylome data.

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

108 eved the same results with transcriptome and methylome data.

109 A methylome database of the genome was constructed using S

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

111 tic analysis of the pooled transcriptome and methylome datasets after both acute and chronic RE.

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

113 .e., spontaneous epimutations) contribute to methylome diversity in plants.

114 l insights into the relationship between the methylome, DNA-protein interactions, and their contribut

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

116 al and contextual factors that shape the DNA methylome during child development, and how it, in turn,

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

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

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

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

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

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

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

124 s support the feasibility of using the nasal methylome for future clinical applications, such as pred

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

126 This study assembles DNA adenine methylomes for 93 Mycobacterium tuberculosis complex (MT

127 Reference methylomes for both soybean and common bean were constru

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

129 g data to generate and orthogonally validate methylomes for eight microbial reference species.

130 culty in generating reliable single-cell DNA methylomes for large numbers of cells and samples.

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

132 , we obtained the transcriptome, sRNAome and methylome from the geminivirus Tomato yellow leaf curl v

133 A Elements (ENCODE) project, we profiled 168 methylomes from 12 mouse tissues or organs at 9 developm

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

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

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

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

138 We apply the protocol to lung cancer methylomes from The Cancer Genome Atlas (TCGA) and show

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

140 stant prostate cancer (mCRPC) but the plasma methylome has not been extensively explored.

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

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

143 rgue in favour of the remodelling of genomic methylome/hydroxymethylome landscapes as a general mecha

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

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

146 capture the chromosome conformation and DNA methylome in a cell.

147 y of both the chromatin architecture and DNA methylome in a mixed population.

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

149 importance of the FTO-dependent cardiac m6A methylome in cardiac contraction during heart failure an

150 HemiCpGs account for 4-20% of the DNA methylome in different cell types, and some can be inher

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

152 distribution features of the internal m(7)G methylome in human cells.

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

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

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

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

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

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

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

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

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

162 cipal component analysis on the mCRPC plasma methylome indicated that the main contributor to methyla

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

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

165 me3, failure in establishing the correct DNA methylome, invasion of H3K4me3 and H3K27me3 into former

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

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

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

169 The methylome is subject to genetic and environmental effect

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

171 olution multi-omics methods to delineate the methylome landscape and characterize the oncogenic drive

172 ar-isogenic lines (NILs) to characterize DNA methylome landscapes of soybean roots during the suscept

173 First, methyltransferase allele-methylome mapping corrected methyltransferase variant ef

174 ion, providing the first evidence that plant methylomes may respond to elevated [CO(2) ] over multipl

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

176 We generate cell type-specific whole-genome methylomes (N = 95) and transcriptomes (N = 89) from neu

177 opore sequencing of nucleosome occupancy and methylome (nanoNOMe) on four human cell lines (GM12878,

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

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

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

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

182 in this process, we determine the genome and methylome of an individual bacterial strain and use this

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

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

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

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

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

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

189 ed by sequencing, we assessed changes in the methylome of senescent Arabidopsis (Arabidopsis thaliana

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

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

192 therapeutic targets, we investigated the DNA methylome of the nucleus accumbens core (NAcc) of rhesus

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

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

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

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

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

198 The methylomes of 20 Hispanic white newborns ([Formula: see

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

200 The methylomes of bAM infected with M. bovis were compared t

201 Publicly available transcriptomes and DNA methylomes of CD8(+) T cells from 3 adult patient cohort

202 ariations in CG methylation by comparing the methylomes of different tissues or organs from different

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

204 ions (DMRs) were identified by comparing the methylomes of dml3 and WT in the CG, CHG, and CHH contex

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

206 Analyzing the transcriptomes and methylomes of human aESCs, pESCs, and bi-parental ESCs e

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

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

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

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

211 We also compared the methylomes of the NILs and their parents to identify int

212 The methylomes of the two cell types are highly distinct, wi

213 Comparative analysis with methylomes of various tissues and cell types suggests th

214 850K DNA methylation arrays we compared the methylomes of young (27 +/- 4.4 years) and aged (83 +/-

215 studied, the impact of the global cytosine-5 methylome on development, homeostasis and stress remains

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

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

218 hylation profiles only, and (3) whole-genome/methylome prediction (WGMP) with combining both omics la

219 using SNP marker information only, (2) whole-methylome prediction (WMP) using methylation profiles on

220 contribution provides the first single-base methylome profiles of haploid gametophytes and diploid s

221 arge datasets, and integration with existing methylome profiles.

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

223 Next-generation sequencing methylome profiling identified numerous differentially m

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

225 combining single-cell transcriptome and DNA methylome profiling.

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

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

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

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

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

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

232 es, thus raising the question of how the DNA methylome remains stable despite constant epigenetic dri

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

234 2) ] for a single generation induced limited methylome remodelling (an order of magnitude fewer diffe

235 mprehensive sequencing of regulatory element methylomes reveals a rich landscape of functional varian

236 recent advances in our understanding of the methylome's functionality and covers potential new roles

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

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

239 Here, we compare deep DNA methylome sequencing on 19 human insulinomas, and five s

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

241 Using methylome sequencing we identified CpG islands that disp

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

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

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

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

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

247 all chromosomes, yet they exhibited overall methylome stability.

248 Methylome states of photoreceptor-related genes in adult

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

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

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

252 e extensive and dynamic changes in the plant methylome that impact the transcriptional activity of ge

253 MeCP2 is a reader of the DNA methylome that occupies a large proportion of the genome

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

255 analysis revealed dynamic changes in nodule methylomes that were specific to each nodule stage, occu

256 s was characterized at three levels: the DNA methylome, the transcriptome, and the cell-surface prote

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

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

259 cell clonal expansion produces heterogeneous methylomes, thus raising the question of how the DNA met

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

261 sequences, we screened the MCF-7 and MCF-10A methylomes to map 5-methylcytosine and found the majorit

262 have a major role in shaping the cancer DNA methylome, to be considered alongside commonly accepted

263 y, our study reveals EGR1 programs the brain methylome together with TET1 providing new insight into

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

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

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

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

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

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

270 anscriptome-wide profiling of internal m(7)G methylome using m(7)G-MeRIP sequencing (MeRIP-seq).

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

272 xtremes; this revealed that the LR amygdalar methylome was abnormal, with the HR profile more closely

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

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

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

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

277 Broad-ranging alterations to the DNA methylome were observed at both time points.

278 While the methylomes were vastly different between muscle tissue a

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

280 (DNMT1)-only cells produces a heterogeneous methylome, which is robustly propagated on cell expansio

281 ffects through persistent changes in the DNA methylome, which therefore hold the potential to be used

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

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

284 A sequencing of cortex and hypothalamus) and methylome (whole-genome bisulfite sequencing of hypothal

285 Supporting transcriptome- and methylome-wide analyses (TWAS and MWAS, respectively) un

286 We performed methylome-wide association analyses in each cohort to mo

287 We present the first large-scale methylome-wide association studies (MWAS) for major depr

288 Methylome-wide association studies are typically perform

289 Cell type-specific methylome-wide association studies identified multiple f

290 deconvolution to perform cell type-specific methylome-wide association studies within subpopulations

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

292 We present results from a blood-based methylome-wide association study of PD involving meta-an

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

294 on bisulfite sequencing (RRBS) to generate a methylome-wide profile of cocaine dependence in human po

295 pecific analyses in blood samples identified methylome-wide significant associations in T cells, mono

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

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

298 thylation landscape mirroring the cancer DNA methylome, with gradual hypermethylation of bivalent dev

299 stochastic methylation generates a mosaic of methylomes within isogenic cultures, which we formalize

300 There was a much greater similarity of methylomes within patrilines (i.e., father-daughter subf