ライフサイエンスコーパス: methylation pattern

1 cell populations by assembling cell-specific methylation patterns.

2 ulatory motifs underlies some human-specific methylation patterns.

3 a good model to study the inheritance of DNA methylation patterns.

4 enomic annotations and with estimation of co-methylation patterns.

5 including both tissue-specific and invariant methylation patterns.

6 ations in urine are a robust predictor of As methylation patterns.

7 ymes in the establishment and maintenance of methylation patterns.

8 ondensation without altering genome-wide DNA methylation patterns.

9 astic cells exhibiting global changes in DNA methylation patterns.

10 specificity subunits resulting in different methylation patterns.

11 silencing factor and regulator of genome DNA methylation patterns.

12 pecific transcription factors and changes in methylation patterns.

13 of cells owing to changes in DNA and histone methylation patterns.

14 acterised by an increased variability in DNA methylation patterns.

15 tion of SAHH may globally influence cellular methylation patterns.

16 enes and that 5Aza treatment restored normal methylation patterns.

17 and do not capture the diversity of existing methylation patterns.

18 Drosophila melanogaster lack detectable DNA methylation patterns.

19 s culture conditions displayed different DNA methylation patterns.

20 dback loops to complex self-perpetuating DNA methylation patterns.

21 s, along with their chromatin states and DNA methylation patterns.

22 lease (DSN) to remove excess DNA with normal methylation patterns.

23 per characterisation of the heterogeneity of methylation patterns.

24 etween maternal plasma lipids and infant DNA methylation patterns.

25 failed to reveal any evidence of defined DNA methylation patterns.

26 at affect both histone modifications and DNA methylation patterning.

27 , is a key regulator of EBV latency type DNA methylation patterning.

28 s in several driver genes can cause aberrant methylation patterns, a hallmark of cancer.

29 This study provided some evidence that DNA methylation patterns acquired in the founder animal can

30 Nevertheless, several genes showed variable methylation patterns across gestation, with a general tr

31 played higher intrasample variability of DNA methylation patterns across the genome, which appears to

32 during pregnancy may result in abnormal gene methylation patterns and contribute to developmental pro

33 We compared genomic DNA methylation patterns and gene expression in African Amer

34 We compared DNA methylation patterns and gene expression in inner-city c

35 ation system causes changes in site-specific methylation patterns and gene expression patterns that m

36 re purified and analyzed for genome-wide DNA methylation patterns and gene expression profiles.

37 he DNA methyltransferase Dnmt1 maintains DNA methylation patterns and genomic stability in several in

38 on have revealed that dynamic changes in DNA methylation patterns and histone modifications accompany

39 hat NDGs acquired divergent cis-elements and methylation patterns and may experience sub-functionaliz

40 can be discriminated based on their genomic methylation patterns and methylation context.

41 Finally, prolonged exercise affected gene methylation patterns and micro-RNA content in the sperm

42 Although altered DNA methylation patterns and mutations in DNMT3A correlate w

43 light the conservation and divergence of DNA methylation patterns and regulatory machinery in plants

44 the complete genome sequence, as well as DNA methylation patterns and small RNA transcriptomes, was a

45 and AFP- HCC tumors have distinct global DNA methylation patterns and that increased DNA methylation

46 ic variation in human disease, cell-specific methylation patterns and the cellular heterogeneity pres

47 the mechanistic basis of human-specific DNA methylation patterns and the interpretation of inter-spe

48 e of SDG8, we examine how the global histone methylation patterns and transcriptome were altered in t

49 BACKGROUND & AIMS: We analyzed DNA methylation patterns and transcriptomes of primary intes

50 strategies involved in setting up normal DNA methylation patterns and understanding how this stable e

51 aralogs, compared their cytosine and histone methylation patterns, and analyzed the sequence evolutio

52 ography tandem mass spectrometry, histone H3 methylation patterns, and markers of mitochondrial respi

53 a functional role of spatial correlations in methylation patterns, and provide a mean to quantitate s

54 e the understanding of antisilencing, genome methylation patterns, and regulation of alternative RNA

55 We characterize genome-wide DNA methylation patterns, and show that correlation among Cp

56 ironmental stressors may have on genome-wide methylation patterns, and to what extent epigenetics may

57 Aberrant DNA methylation patterns are a common theme across all cance

58 ms which recognise heterogeneous outlier DNA methylation patterns are able to identify many sites in

59 yltransferases (DNMTs) and disruption of DNA methylation patterns are associated with carcinogenesis

60 methylation in angiosperms and show that DNA methylation patterns are broadly a reflection of the evo

61 DNA methylation patterns are dynamically controlled by DNA m

62 DNA methylation patterns are established in early embryogene

63 In plants, DNA methylation patterns are faithfully inherited over many

64 The vast majority of genic CG methylation patterns are faithfully transmitted over nin

65 We provide evidence that such DNA methylation patterns are generated by OxyR binding.

66 that genome-wide cancer hyper- and hypo- DNA methylation patterns are independent processes, controll

67 DNA methylation patterns are initiated by de novo DNA methyl

68 that, with the exception of cerebellum, DNA methylation patterns are more homogeneous between differ

69 To gain insight into how genomic DNA methylation patterns are regulated during iAs-mediated c

70 n DNA methylation showed that changes in DNA methylation patterns are required for the accurate regul

71 DNA methylation patterns are set up in a relatively fixed pr

72 We know little of how methylation patterns are specifically determined.

73 DNA methylation patterns are the dynamic outcome of antagoni

74 Because DNA methylation patterns are tissue and cell type specific,

75 Following establishment, genomic methylation patterns are transmitted through S-phase by

76 In addition, great tit neuronal non-CpG methylation patterns are very similar to those observed

77 DNA methylation patterns are well known to vary substantiall

78 cts of changes in leukocyte fractions on CpG methylation patterns as well as the potential importance

79 six alternative specificities with distinct methylation patterns, as defined by single-molecule, rea

80 ly a minority of mTECs, independently of DNA-methylation patterns, as small inter-chromosomal gene cl

81 es featuring all of the reported acetylation/methylation patterns associated with Bp and Bm LPS O-ant

82 a new approach for discovering differential methylation patterns associated with expression change u

83 The proportion of genes and DNA methylation patterns associated with gbM are restricted

84 Protein (GFP) gene in HeLa cells alters the methylation pattern at the site of recombination.

85 covered characteristic accessibility and DNA methylation patterns at DNase hypersensitive sites (DHSs

86 Methylation patterns at imprinted loci are established d

87 Disruption of methylation patterns at imprinted loci resulting in loss

88 fungal development, we profiled genome-wide methylation patterns at single-nucleotide resolution dur

89 ifferentially methylated sites, the distinct methylation patterns at some genes suggest parent-specif

90 vides a simple explanation for non-canonical methylation patterns at some loci or in certain COMPASS

91 We discovered aberrant DNA methylation patterns at specific genomic regions in frag

92 in subchondral bone and identified different methylation patterns at the late stage of OA.

93 n chromatin conformations correlated with CG methylation patterns at the RTA and vIL6 promoters.

94 e two mutant subpopulations exhibit distinct methylation patterns at their imprinting control regions

95 al DNA methylation level increased and their methylation patterns became more distinct from those of

96 Alteration in DNA methylation patterns becomes particularly important in t

97 hylation in both strains; however, the basal methylation pattern between strains shows striking diffe

98 rmation derived from the similarity of local methylation pattern between tissues, the methylation inf

99 ach methylation context showed very distinct methylation patterns between cell types and in response

100 Here, we compare genome-wide methylation patterns between isogenic ESC and EGC lines

101 pluripotent stem cells (iPSCs) show variable methylation patterns between lines, some of which reflec

102 of the loci within this family show constant methylation patterns between the three cell types wherea

103 Among these methylation patterns, bipolar patterns are important as

104 , including a locus that itself controls DNA methylation patterns, but with most of the changes affec

105 DNA methylation patterns can also serve as potential biomark

106 ation between nucleosome positioning and DNA methylation patterns can arise from the variations in nu

107 Here we show that in vivo and in vitro DNA methylation patterns can be horizontally transferred int

108 e, and showed that horizontally acquired DNA methylation patterns can increase or decrease cell fitne

109 True representation of methylation patterns can only be fully characterised by

110 That is, horizontally acquired DNA methylation patterns can result in the selection for and

111 bled identification of both sequence and DNA methylation pattern changes in a single experiment.

112 Specific and distinct DNA methylation patterns characterize subtypes of AML and ly

113 d that Natur-IVF embryos have expression and methylation patterns closer to in vivo blastocysts.

114 that malignant meningiomas have distinct DNA methylation patterns compared to their benign and atypic

115 We find that expression and DNA methylation patterns correlate with distinct accessibili

116 Their methylation pattern correlates much stronger than promot

117 Twelve novel methylation patterns corresponding to nine recognition s

118 Abnormal methylation pattern could contribute to the pathogenesis

119 Detection of aberrant methylation pattern could serve as an excellent diagnost

120 rly 40 y since it was suggested that genomic methylation patterns could be transmitted via maintenanc

121 K4 and di- and trimethylated on H3K36, an H3 methylation pattern distinct from that recognized by the

122 Finally, we found that de novo methylation patterning does not strictly require implant

123 Inheritance of DNA cytosine methylation pattern during successive cell division is m

124 ey mediator of inheritance of epigenetic DNA methylation patterns during cell division and is a putat

125 n, which results in faithful transmission of methylation patterns during cell division and, at least

126 se 1) is responsible for propagating the DNA methylation patterns during DNA replication.

127 thesized that analysis of alterations in DNA methylation patterns during healthy HSC commitment and d

128 In mammals, faithful inheritance of genomic methylation patterns ensures proper gene regulation and

129 llel, permitted determination of genome-wide methylation patterns for all strains.

130 We not only revealed genome-wide methylation patterns for psoriasis but also identified s

131 We also observed that the allelic methylation patterns for the vast majority of the cis-re

132 The control of DNA methylation pattern formation by replication dependent a

133 only mouse embryonic stem cells lost the DNA methylation patterns found in wild-type cells.

134 quantitative high-resolution analysis of DNA methylation patterns from bisulfite sequencing data, inc

135 e that predicts histone modification and DNA methylation patterns from DNA motifs.

136 hpat", that extracts and displays clonal DNA methylation patterns from massively parallel sequencing

137 sing this approach, we identify critical DNA methylation patterns from previously inaccessible cohort

138 mus of F1 mice due to the inheritance of DNA methylation patterns from the paternal generation.

139 umber of NDGs had different cis-elements and methylation patterns from their parental genes.

140 ing/quality control/methylation calling with methylation pattern generation and visualization.

141 provide insights into complementary de novo methylation patterns governing regulation of HSC fate de

142 ation between nucleosome positioning and DNA methylation patterns has been reported in literature.

143 reliable detection of disease-associated DNA methylation patterns has major potential to advance mole

144 The alterations in DNA methylation pattern have been identified as one of the m

145 transferases or demethylases, yet discordant methylation patterns have also been observed, which are

146 Aberrant DNA methylation patterns have been widely observed in tumori

147 studies examining RNA transcription and DNA methylation patterns have revealed profound insights in

148 is strikingly better on chromosome X, where methylation patterns have unique inter-tissue variabilit

149 The analysis of DNA methylation patterns helps researchers understand epigen

150 ome genomic loci may demonstrate bipolar DNA methylation pattern, i.e. hypermethylated in one cell su

151 g a DNA amplification efficiency of 70% with methylation patterns identical to the respective bulk DN

152 ally, we show that the regional differential methylation patterns identified on sparse array data are

153 ic drug treatment in vitro We found that DNA methylation patterns identify divergent patient subgroup

154 in DNA methylation, whereas well-structured methylation patterns imply deterministic methylation eve

155 cument the expression of lncRNAs and the DNA methylation pattern in calcific aortic valve disease.

156 ing healthy controls revealed a distinct DNA methylation pattern in psoriasis compared with controls.

157 l epigenetic bias, here we have profiled DNA methylation patterns in a cohort of 57 individuals with

158 Interest is in modelling the changes in methylation patterns in a CpG island in the first exon o

159 rmined that d-flow regulates genome-wide DNA methylation patterns in a DNA methyltransferase-dependen

160 onstrate that d-flow controls epigenomic DNA methylation patterns in a DNMT-dependent manner, which i

161 pply our method to determine allele-specific methylation patterns in a human genome and identify hund

162 ole of SAMe in establishing the aberrant DNA methylation patterns in a mouse model of diabetic neurop

163 an visualise the diversity of epiallelic DNA methylation patterns in a sample.

164 hyl-donor availability influenced global DNA methylation patterns in both adult mice and their offspr

165 mining our previously reported study of DNA methylation patterns in breast tissue (103 cancer, 21 no

166 NMT1 and DNMT3b and, in turn, changes in DNA methylation patterns in cancer cells.

167 Their results show aberrant DNA methylation patterns in CD4-enriched T cells from periph

168 ell death in humans based on tissue-specific methylation patterns in cfDNA.

169 IL-13 altered global DNA methylation patterns in cultured AECs and were significa

170 and control animals highlighted differential methylation patterns in Daphnia upon exposure to Microcy

171 tic changes, and we find early maturation of methylation patterns in DS brain and lymphocytes.

172 e find that sex rather than cell type drives methylation patterns in ESCs and EGCs.

173 ct roles of DNMT1-dependent and -independent methylation patterns in genome stability and regulation

174 llomavirus (HPV) infection distinctly alters methylation patterns in HPV-associated cancer.

175 To evaluate the transgenerational DNA methylation patterns in human, we analyzed the DNA methy

176 Several studies show alterations in DNA methylation patterns in iAs-mediated pathogenesis, but t

177 Thus, we show that DNA methylation patterns in JMML are predictive of outcome a

178 s suppressive effect but identified aberrant methylation patterns in MYD88 wild-type patients.

179 hat ecRNAs are fundamental regulators of DNA methylation patterns in neuronal systems, and reveal a p

180 In addition, diverged methylation patterns in non-CG contexts between paralogs

181 al tissue environment directly modulates DNA methylation patterns in normal differentiated cells in v

182 ssiveness of individual PC foci based on DNA methylation patterns in primary PC foci and matched lymp

183 ed in genome-wide association studies of DNA methylation patterns in relation to environmental exposu

184 tudy to examine global transcription and DNA methylation patterns in specific immune cell populations

185 Here, we interrogate cytosine methylation patterns in sperm obtained from mice consumi

186 Here, we focus on genome-wide methylation patterns in the microcrustacean Daphnia magn

187 OpvAB(ON) cell lineages display opposite DNA methylation patterns in the opvAB regulatory region: (i)

188 DNA methylation patterns in the preimplantation embryo are d

189 ical function for cell type-specific histone methylation patterns in the regulation of behavioral res

190 model and investigated the transgenerational methylation patterns in these animals.

191 ovides the ability to investigate clonal DNA methylation patterns in unprecedented detail and scale,

192 tudied epigenetic phenomenon; alterations in methylation patterns influence human phenotypes and risk

193 netic information encoded in the genomic DNA methylation pattern is translated by methylcytosine bind

194 Transmission fidelity of CpG DNA methylation patterns is not foolproof, with error rates

195 th similar, albeit less dramatic, changes in methylation patterns, leading to the hypothesis that age

196 ailure to properly establish or maintain DNA methylation patterns leads to cell dysfunction and disea

197 Our observations of DNA methylation patterns led us to develop a classifier to p

198 DNA transposon, suggesting that the observed methylation pattern may be independent of the mode of in

199 We hypothesize that DNA methylation patterns may contribute to variation in diab

200 d was further validated by comparing the CpG methylation pattern, methylation profile of CGIs/promote

201 During mammalian development, DNA methylation patterns need to be reset in primordial germ

202 With this system we demonstrated that DNA methylation patterns not only accompany the horizontal t

203 air, at which time no further changes in the methylation pattern occur.

204 Alterations of methylation patterns occurred in prostate cancer and in

205 sed HT-TREBS to individually analyze the DNA methylation pattern of 4799 IAP LTR retrotransposons in

206 r analysis revealed that a combined promoter methylation pattern of low methylation levels in ALDH1A2

207 ble common epigenetic change, we studied DNA methylation pattern of more than 450 000 CpG sites in 44

208 The aim of this study was to determine the methylation pattern of the entire promoter of ERVW-1 and

209 The initial methylation pattern of the locus is modified in a transc

210 We find that HR modifies the DNA methylation pattern of the repaired segment.

211 utero exposure to BPA altered the global CpG methylation pattern of the uterine genome, subsequent ge

212 idence that cigarette smoking alters the DNA methylation patterning of the SAE and that, for some gen

213 control and motivational processes with DNA methylation patterns of 60 candidate genes in boys at ea

214 In this study, we measure the passenger methylation patterns of a specific CpG region in 9 color

215 nt plant organs were in agreement with the O-methylation patterns of alkaloids in G. flavum determine

216 stable with an epivariation frequency in DNA methylation patterns of at least two orders of magnitude

217 betes and diagnosis of beta-cell death using methylation patterns of circulating DNA.

218 Also, the analysis of methylation patterns of duplicated and single-copy genes

219 st, second and third trimesters to determine methylation patterns of homeobox gene promoters across g

220 ve analysis, we investigated genome-wide DNA methylation patterns of meningiomas from ten European ac

221 Expression and DNA methylation patterns of miR-17~92 were determined in hum

222 DNA methylation patterns of primary samples are distinct fro

223 dopsis reproduces the strong linker-specific methylation patterns of species that diverged from flowe

224 Genomic methylation patterns of STEMCCA-loxP-reprogrammed clones

225 Overall, this study demonstrates that DNA methylation patterns of the Lhx3 gene are associated wit

226 evidence to support the hypothesis that the methylation patterns of the two alleles evolve independe

227 encing (ChIP-seq) experiments show that H3K4 methylation patterns on active genes are not universal o

228 dy, we evaluated the effects of specific DNA methylation patterns on modulating nucleosome conformati

229 ons, we examined the effect of altered H3K79 methylation patterns on UV-induced G1/S checkpoint respo

230 We conclude that different methylation patterns partially explain the sex-based dif

231 ng the pivotal role aberrant genome-wide DNA methylation patterns play in cancer ontology.

232 Herein, we applied a novel methylation pattern recognition and simulation approach,

233 as demonstrated by widespread changes to DNA methylation patterns, redistribution of histone marks an

234 Highly variable methylation patterns reflect stochastic fluctuations in

235 Pathway analyses demonstrated that DNA methylation patterns related to hippocampal synaptic pla

236 y cohort data unveils cell type-specific DNA methylation patterns related to HIV-associated CI and pr

237 l approach, we observed in the isolated CTCs methylation patterns resembling more those of epithelial

238 ne DNA methyltransferases (Mod) alter global methylation patterns resulting in changes in gene expres

239 Thus, polymorphisms for the methylation patterns seen among laboratory inbred strain

240 phenocopies multiple features of the altered methylation patterns seen in cancer cells.

241 Correlations with methylation patterns suggest that CG methylation in exon

242 observed that specific sequence and cytosine methylation patterns surrounding the targeted guanine re

243 or clones typically showed less diversity in methylation pattern than the tumor as a whole.

244 ed a metric of the HSC commitment-associated methylation pattern that proved to be highly prognostic

245 type with high tissue 2HG and a distinct DNA methylation pattern that was associated with poor progno

246 rthermore, we identified distinct epigenetic methylation patterns that are conserved across tissues,

247 ssfully employed for characterisation of DNA methylation patterns that are essential for the diagnosi

248 ferences in colorectal cancer are related to methylation patterns that extend beyond the single-gene

249 le (SWI/SNF) chromatin remodeling and global methylation patterns that may allow for future therapeut

250 ns can be used to decipher mutation-specific methylation patterns that may lead to therapeutic insigh

251 his biology to identify genes in the Ce with methylation patterns that predict AT.

252 EBV latency types are defined by DNA methylation patterns that restrict expression of viral l

253 Loss of Dnmt3a led to disturbed methylation patterns that were distinct in lymphoid and

254 We also found a distinct set of DNA methylation patterns that were unique for neuronal cells

255 sts, they had unique gene expression and DNA methylation patterns that were, in part, indicative of t

256 Furthermore, there were differences in methylation patterns that, although not statistically si

257 The faithful transmission of DNA methylation patterns through cell divisions is essential

258 ent to daughter strands, producing heritable methylation patterns through cell divisions.

259 Dnmt2-dependent methylomes lack defined DNA methylation patterns, thus necessitating a systematic re

260 CG methylation is higher in pollen, allowing methylation patterns to be accurately inherited across g

261 ConfirmMDx uses gene methylation patterns to improve detection of clinically

262 f Brachypodium distachyon and compared genic methylation patterns to those of rice (Oryza sativa ssp.

263 mation, such as histone modification states, methylation patterns, transcription factor binding sites

264 iPS cells differed and retained residual DNA methylation patterns typical of parental somatic cells.

265 Yet, studies of methylation patterns under stress could provide crucial

266 Histone lysine methylation patterns underlie much of the functional div

267 20%) were not associated with a specific DNA methylation pattern using an unsupervised approach.

268 We assessed DNA methylation patterns using a bead chip in cord blood sam

269 e for directly detecting epimutations in DNA methylation patterns using single-cell, locus-specific b

270 Currently, how extensive methylation patterns vary among brain cells is unknown a

271 The intracrypt methylation pattern was consistent with the crypts conta

272 d with symptoms (P < 0.05), and baseline DNA methylation pattern was found to be predictive of sympto

273 significant difference in the TNFA promoter methylation pattern was observed in samples biopsied dur

274 DNA methylation pattern was reversed at the end of photother

275 Methylation patterns were analysed in buccal cell DNA wi

276 Genome-wide DNA methylation patterns were determined in whole blood samp

277 Interestingly, the aberrant histone H3 methylation patterns were predominantly observed within

278 Genome-wide DNA methylation patterns were strikingly similar between HCM

279 - treated FAP patient tissue after which the methylation patterns were visualized by Next Generation

280 ny other genes in these classes have similar methylation patterns, whether the genes are active or re

281 lay developmentally regulated brain-specific methylation patterns which are lost in Smchd1 homozygous

282 its intermediates are known to alter the DNA methylation pattern, which is a critical regulator of ep

283 DNA methylation patterns, which are critical for gene expres

284 st widely used technologies in analyzing DNA methylation patterns, which are important in understandi

285 and association with genome-wide cancer DNA methylation patterns, which are largely independent of c

286 ing alignment approach for investigating DNA methylation patterns, which significantly improves the n

287 enetic background to transcriptional and DNA methylation patterns while controlling for cell line clo

288 s suggests that SE origin contributes to DNA methylation patterning, while shared skin tissue environ

289 Identification of changes in methylation pattern will provide insights into the molec

290 iversity Vienna (Vienna, Austria), assessing methylation patterns with an alternative methylation chi

291 teristics, gene expression profiles, and DNA methylation patterns with blastocyst-derived TSCs.

292 ows users to perform integrative analysis of methylation patterns with other genomic features togethe

293 activity of B cells in RA and suggest shared methylation patterns with SLE.

294 ation embryos, display relatively stable DNA methylation patterns, with 70-80% of all CpGs being meth

295 w 381 genes with significantly different CpG methylation patterns, with the vast majority being more

296 Extensive variation of DNA methylation patterns within a species has been uncovered

297 Modifications in methylation patterns within genic regions were often ass

298 stem in Escherichia coli where different DNA methylation patterns within the cis-regulatory sequence

299 ion assays revealed allelic lineage-specific methylation patterns within the HLA-A promoter region wh

300 Here, we hypothesized that DNA methylation patterns would help predict disease outcome