ライフサイエンスコーパス: CGH

1 CGH analysis of the genomes of seven clinically prevalen

2 CGH analysis revealed a recurrent pattern of chromosomal

3 CGH datasets consist of samples that are represented by

4 CGH identified significant differences in the presence (

5 CGH may therefore, under certain circumstances, prove to

6 CGH on mouse cDNA microarrays therefore represents a rel

7 CGH-1 then associates with translational regulators and

8 (2) CGH samples are clustered based on this distance.

9 We propose that the NHL-2:CGH-1 complex functions in association with mature miRIS

10 A biogenesis, indicating a role for an NHL-2:CGH-1 complex in the effector phase of miRISC activity.

11 Two-photon computer generated holography (2P-CGH) recently demonstrated 3D optogenetic control of sel

12 e fast opsin Chronos with amplified laser 2P-CGH enables cellular-resolution targeting with unprecede

13 ulated mRNAs are specifically protected by a CGH-1-dependent mechanism.

14 PT) is the best wavelet transform to analyze CGH signal in whole frequency.

15 esis, that the association between CAR-1 and CGH-1 has been conserved, and that the regulation of phy

16 thologs of P body proteins, DCP-2, CAR-1 and CGH-1, and two markers of stress granules, poly (A) bind

17 ctivation, including human PUF-8, GLD-1, and CGH-1 homologs PUM1, QKI, and DDX6.

18 ing proteins (RBPs)-PUF-8, MEX-3, GLD-1, and CGH-1-that sequentially repress the CED-3 caspase in dis

19 tation of bacterial transcriptomics data and CGH microarray data for looking at genetic stability in

20 umber variation from oligo-hybridization and CGH data.

21 PFGE and CGH analyses of representative strains further confirmed

22 Using whole-genome transcriptome and CGH analysis, we report that a B. bronchiseptica cystic

23 Array CGH analysis of six paired pre- and post-neoadjuvant tre

24 Array CGH analysis was used to detect a recurrent deletion at

25 Array CGH identified gain at 8q24.12-q24.13, the region of the

26 Array CGH may help distinguish between these 2 entities and gi

27 Array CGH revealed complex rearrangements in eight patients; i

28 Array CGH technologies enable the simultaneous measurement of

29 11 different algorithms for analyzing array CGH data.

30 Cytogenetic and array CGH analysis of TOSE cells also revealed a focal genomic

31 combine the modalities of zoo-FISH and array CGH between different avian species.

32 rative analysis of gene expression and array CGH data revealed DNA copy number alterations at the ATF

33 to both next-generation sequencing and array CGH data.

34 tified between chicken and turkey; and array CGH identified 16 inter-specific CNVs.

35 Exome sequencing and array CGH were performed on available samples followed by deta

36 Using FISH, linear amplification, and array CGH, we identified a 126-kb duplicated region from 19p13

37 under analysis were compared with BAC array CGH; 77% (n = 44) of the autosomal chromosomes used in t

38 plification and genomic alterations by array CGH analysis, indicating that Aurora-A overexpression in

39 sed, all eleven imbalances detected by array CGH and confirmed by FISH or Q-PCR were also detected by

40 amplified regions in MCF-7 detected by array CGH located in the 1p13.1-p21.1, 3p14.1-p14.2, 17q22-q24

41 , genomic profiling of these tumors by array CGH pointed to regions of loss on chromosomes 6 and 14,

42 whether copy-number gains detected by array CGH represent tandem duplications or unbalanced insertio

43 d loss were defined more accurately by array CGH, and several small regions of deletion were detected

44 some 17q21.3, detected in each case by array CGH.

45 umber variant that was not detected by array CGH.

46 by chromosome 21 deletions detected by array CGH.

47 ese results show the power of combined array CGH and SAGE analysis for the identification of candidat

48 icons, we developed a method combining array CGH and serial analysis of gene expression (SAGE) data t

49 uture costs comparable to conventional array CGH platforms and with less stringent sample requirement

50 9 cases referred to our laboratory for array CGH and found to have copy-number abnormalities.

51 gements by FISH with BACs and fosmids, array CGH, Southern-blot hybridization, MLPA, RT-PCR, and supp

52 ds to identify aberration regions from array CGH data, many recent research work focus on both smooth

53 e tool for SV analysis using data from array CGH technologies, which is also amenable to short-read s

54 esults were comparable with those from array CGH, regions of those genetic changes were defined more

55 suited to high resolution whole genome array CGH studies that use array probes derived from large ins

56 However, array CGH studies of the human genome noting false negative an

57 sed comparative genomic hybridization (array CGH) and spectral karyotype (SKY) analysis, none of the

58 ray comparative genomic hybridization (array CGH) data, we show that the REPA/B structure is also sus

59 sed comparative genomic hybridization (array CGH) has improved rates of detection of chromosomal imba

60 sed comparative genomic hybridization (array CGH) is a highly efficient technique, allowing the simul

61 sed comparative genomic hybridization (array CGH) on 64 prostate tumor specimens, including 55 primar

62 ray comparative genomic hybridization (array CGH) platform.

63 ray comparative genomic hybridization (array CGH) to define minimum common amplified regions and then

64 ray comparative genomic hybridization (array CGH) to map the minimal amplified regions.

65 ray comparative genomic hybridization (array CGH) was employed to test DNA from 93 individuals with D

66 ray comparative genomic hybridization (array CGH), gene expression arrays, and fluorescence in situ h

67 ray comparative genomic hybridization (array CGH), quantitative PCR (qPCR), and fluorescent in situ h

68 ray-comparative genomic hybridization (array CGH).

69 lify frozen and FFPE tissue for use in array CGH (aCGH).

70 ) for detecting copy-number changes in array CGH data.

71 genomic copy number variants (CNV) in array CGH experiments compared to the state-of-the-art, includ

72 By integrating array CGH and expression array data, we reveal genes whose cor

73 been proposed for analyzing the large array CGH datasets, the relative merits of these methods in pr

74 Using homozygosity mapping, array CGH, and exome sequencing, we uncovered bi-allelic loss-

75 ybridization (CGH) to DNA microarrays (array CGH) is a technique capable of detecting deletions and d

76 zation using whole-genome microarrays (array CGH) revealed variation in 24 to 67 genes in isolates fr

77 We also present the analyses of array CGH data from breast cancer cell lines to show the impac

78 Clonality analysis of array CGH data suggested that multiple CRC primary tumors or t

79 d experimental exploration of a set of array CGH data, including both synthetic data and real data.

80 Comparison of array CGH with existing multiplex-fluorescence in situ hybridi

81 solation and subsequent performance of array CGH.

82 igned 4-Mb tiling-path oligonucleotide array CGH assay.

83 ment obtained using an oligonucleotide array CGH platform designed to query CNVs at high resolution (

84 By using whole-genome oligonucleotide array CGH, we have identified deletions at 13q32.1 segregating

85 bnormality, we coupled high-resolution array CGH with breakpoint junction sequencing of a diverse col

86 mber of popular algorithms to a single array CGH profile entered by the user.

87 let transform based approach to smooth array CGH data.

88 he accumulation and annotation of such array CGH data can lead to the rapid identification of pathoge

89 These results indicate that array CGH is a powerful technique to study rearrangements of p

90 visualization and summarization of the array CGH data outputs, potentially across many samples, is an

91 et of the calls that differed from the array CGH data sets.

92 e estimator respectively to smooth the array CGH data.

93 The array CGH panel included 90 animals from 11 Bos taurus, three

94 resource routinely for high-throughput array CGH and single-locus probe analysis of a range of canine

95 By high-resolution tiling array CGH, the smallest common deletion targeted just one gene

96 serially transplanted and according to array CGH and whole exome sequencing, the pathogenesis of plas

97 CNV-seq offers an alternative to array CGH for copy number analysis with resolution and future

98 For murine tumors, array CGH should provide even greater advantage, since murine

99 This study is the first to use array CGH to characterize IPMNs.

100 We used array CGH to create the first map of DNA copy number variation

101 Using array CGH analysis, we have identified six overlapping microde

102 unbalanced insertions identified using array CGH and FISH in 4909 cases referred to our laboratory fo

103 e use of higher-resolution genome-wide array CGH assays for clinical purposes.

104 tumor biopsies, which was coupled with array CGH and targeted resequencing.

105 Array-CGH analysis identified REST as a frequent target of del

106 Array-CGH detected 6p22.3 amplification in 8/91 invasive tumou

107 Array-CGH findings revealed predicted duplications in affected

108 Array-CGH is a powerful tool for the detection of chromosomal

109 loping effective methods for analyzing array-CGH data to detect chromosomal aberrations is very impor

110 accuracy of an algorithm for analyzing array-CGH data, it is commonly assumed that noise in the data

111 because they may be missed by FISH and array-CGH and may be interpreted as insertions by paired-end s

112 our method to both simulated data and array-CGH experiments on glioblastoma and adenocarcinoma.

113 r measurements by MAPH/REDVR, MLPA and array-CGH.

114 l human cells and genomic profiling by array-CGH (cDNA arrays, 100 kb resolution) and by real-time PC

115 ation of loci showing amplification by array-CGH was enriched for palindromes detected by GAPF provid

116 diagnosed with WHS in her thirties by array-CGH.

117 By custom array-CGH, we further investigated this family and report here

118 Drawing relevant conclusions from array-CGH requires computational methods for partitioning the

119 However, attempts to harness array-CGH for single-cell analysis to provide improved resolut

120 sed comparative genomic hybridisation (array-CGH) with male and female Duroc genomic DNA on a pig X-c

121 sed comparative genomic hybridization (array-CGH) and detected significant DNA copy number change at

122 ray-comparative genomic hybridization (array-CGH) assays were performed comparing the subject genomic

123 sed comparative genomic hybridization (array-CGH) has emerged as a technique allowing high-throughput

124 sed comparative genomic hybridization (array-CGH) is a popular technology for determining this.

125 rray comparative genome hybridization (array-CGH) methods provide high-throughput data on genetic cop

126 ray comparative genomic hybridization (array-CGH) on specimens from 64 patients with newly diagnosed

127 ndamental question is whether noise in array-CGH is indeed Gaussian, and if not, can one exploit the

128 g methods for detecting aberrations in array-CGH than the Gaussian noise case.

129 itional random field, a new integrated array-CGH analysis method for jointly classifying tumors, infe

130 procedures; it considers the observed array-CGH signal as sampling from a probability-density functi

131 have been proposed for the analysis of array-CGH data.

132 Our array-CGH data also shows an XY-homologous region close to the

133 Overall, array-CGH identified relatively small genomic regions associat

134 Three published array-CGH datasets are used to demonstrate our approach.

135 Using high-resolution array-CGH, we identified unique duplications of a region on 6q

136 copy number changes by high-resolution array-CGH.

137 ination of next generation sequencing, array-CGH and fluorescence in situ hybridization technologies

138 method) were performed to validate the array-CGH findings.

139 structing common ancestral genomes via array-CGH data analysis and by comparing representative DNA se

140 n and single nucleotide polymorphism arrays (CGH-A; SNP-A) can be used for analysis of somatic or clo

141 tion, especially using other methods such as CGH to reveal possible genomic heterogeneity and genetic

142 been identified (e.g. via techniques such as CGH), both the organization of the duplicated sequences

143 a probe set to optimize an openly available CGH microarray platform for high-resolution genotyping s

144 nomic hybridization platforms, including BAC-CGH and genotyping arrays, have been used to estimate ch

145 Array-based CGH analysis identified abnormalities that are shared be

146 Many array-based CGH changes were not found by LOH because they did not c

147 Array-based CGH showed that these aberrations were mostly focal even

148 quence information in promoters, array-based CGH, and expression of non-coding genes (i.e., microRNAs

149 ective study demonstrates that the DNA-based CGH-array technology overcomes many of the limitations o

150 on and evaluation of a cDNA microarray-based CGH method for the routine characterization of CNAs in m

151 ular interest because amplification of 1q by CGH correlated with MUC1 amplification by real-time PCR

152 een identified on chromosome 15q26.1-26.2 by CGH array and FISH analysis.

153 genomic islands (>30 kb) were delineated by CGH in addition to the three known pathogenicity islands

154 s confirmed FN-induced deletions detected by CGH.

155 t only 173 UPEC-specific genes were found by CGH to be present in all UPEC strains but in none of the

156 ase losses and gains that were overlooked by CGH-BAC arrays, and was superior to CGH-BAC arrays in re

157 ke Xp54, Drosophila Me31B and Caenorhabditis CGH-1 are required for proper meiotic development, appar

158 Analysis of the breast cancer CGH data demonstrated the ability of DIGMAP to deduce ge

159 In 23 MHCII(-) cases, CGH detected 2 losses and 2 gains at MHCII loci.

160 Our results identify somatic and germ cell CGH-1 functions that are distinguished by the involvemen

161 Comparison with parallel chromosomal CGH data supported involvement of most regions.

162 ible with previous results from conventional CGH and loss of heterozygosity analyses on bladder tumou

163 A custom tiling array for CGH (244,000 probes, 200 bp tiling resolution) was creat

164 Arrays for CGH based on PCR products representing assemblies of BAC

165 bers of X chromosomes to arrays designed for CGH measurements gave median ratios for X-chromosome pro

166 ate that oligonucleotide arrays designed for CGH provide a robust and precise platform for detecting

167 conserved N-terminal serine is required for CGH-1 function in the miRNA pathway.

168 shown that current methods commonly used for CGH microarray analysis in tumour and cancer cell lines

169 The findings from CGH and cDNA microarray analyses were correlated and val

170 The CFT073 genome contains 5,379 genes; CGH analysis revealed that 2,820 (52.4%) of these genes

171 ally increased by a lack of the RNA helicase CGH-1, orthologs of which are involved in translational

172 copurifies with the essential RNA helicase, CGH-1, in an RNA-dependent fashion.

173 dentify the conserved DEAD-box RNA helicase, CGH-1/DDX6, as a key CK2 substrate within miRISC and dem

174 translating the computer-generated hologram (CGH) with respect to the input Gaussian beam, thereby sh

175 We have developed high-resolution CGH (HR-CGH) to detect accurately and with relatively little bia

176 Our results demonstrate that HR-CGH allows the detection of copy number changes in the h

177 enome-wide comparative genome hybridisation (CGH) arrays were used to compare tumour and normal DNA f

178 (MLPA) or comparative genomic hybridisation (CGH) cause 4q- syndrome.

179 ray based comparative genomic hybridisation (CGH) experiments have been used to study numerous biolog

180 NP) array comparative genomic hybridisation (CGH) showed mutually exclusive endoreduplication and los

181 Comparative genome hybridization (CGH) and cDNA microarray (17,840 genes) analyses were us

182 have used comparative genome hybridization (CGH) microarray analysis to investigate this diversity i

183 rived from comparative genome hybridization (CGH) microarray experiments in fungi and bacteria.

184 Comparative genome hybridization (CGH) to DNA microarrays (array CGH) is a technique capab

185 have used comparative genome hybridization (CGH), in an array format, to analyse the copy number of

186 g or array Comparative Genome Hybridization (CGH).

187 By comparative genomic hybridization (CGH) analyses of embryos deficient for each chromosome o

188 Comparative genomic hybridization (CGH) analyses of microdissected blebs, fluorescence in s

189 ssion and comparative genomic hybridization (CGH) analysis in human adrenocortical tissue (normal, ad

190 A comparative genomic hybridization (CGH) analysis of 35 of the 67 C. jejuni strains confirme

191 d through comparative genomic hybridization (CGH) analysis of a 4559 cDNA clone microarray.

192 ilized in comparative genomic hybridization (CGH) analysis of a panel of uropathogenic and fecal/comm

193 ray-based comparative genomic hybridization (CGH) analysis was used to more comprehensively examine t

194 ray-based comparative genomic hybridization (CGH) analysis, we have detected six unrelated cases of d

195 rrays for comparative genomic hybridization (CGH) analysis.

196 n X-array comparative genomic hybridization (CGH) and four missense variants (G833R, M706T, R631S, an

197 ing array-comparative genomic hybridization (CGH) and next-generation sequencing.

198 alyzed by comparative genomic hybridization (CGH) and prostate cancer gene expression profiles assess

199 ng, array comparative genomic hybridization (CGH) and RNA transcript profiling, and we compared the g

200 ) using a competitive genomic hybridization (CGH) array designed to interrogate 20 092 CNVs.

201 ve canine comparative genomic hybridization (CGH) array that comprises 1158 canine BAC clones ordered

202 ide array comparative genomic hybridization (CGH) assays for clinical diagnostic purposes.

203 Comparative genomic hybridization (CGH) assessed chromosomal alterations at MHCII-related l

204 Array Comparative Genomic Hybridization (CGH) can reveal chromosomal aberrations in the genomic D

205 rom array comparative genomic hybridization (CGH) data is important for characterizing the cancer gen

206 lation of Comparative Genomic Hybridization (CGH) data samples using similarity based clustering meth

207 lation of Comparative Genomic Hybridization (CGH) data samples.

208 ers using comparative genomic hybridization (CGH) data.

209 lic array comparative genomic hybridization (CGH) database and real-time quantitative PCR (qPCR) anal

210 Array comparative genomic hybridization (CGH) demonstrated reproducible chromosomal alterations i

211 ing array-comparative genomic hybridization (CGH) for copy number changes and single-copy number poly

212 by array-comparative genomic hybridization (CGH) for DGS was required because of her low levels of s

213 ray-based comparative genomic hybridization (CGH) has become a powerful method for the genome-wide de

214 Comparative genomic hybridization (CGH) has been developed as a useful tool for detecting a

215 Comparative genomic hybridization (CGH) has been useful in understanding these alterations

216 ray-based comparative genomic hybridization (CGH) measures copy-number variations at multiple loci si

217 ome-based comparative genomic hybridization (CGH) methods for assessing DNA copy number alteration (C

218 undergone comparative genomic hybridization (CGH) microarray analysis for clinical indications.

219 ray-based comparative genomic hybridization (CGH) on 86 primary prostate tumors.

220 DNA array comparative genomic hybridization (CGH) on a panel of breast tumors, including 10 ductal ca

221 performed comparative genomic hybridization (CGH) on the genomic DNA of patients and unaffected subje

222 ventional comparative genomic hybridization (CGH) or multiplex ligation-dependent probe amplification

223 Array comparative genomic hybridization (CGH) results of 15 frozen tumor samples of high-grade ch

224 ity array comparative genomic hybridization (CGH) showed amplification of chromosome 1q22 centered on

225 107 array comparative genomic hybridization (CGH) studies.

226 ray-based comparative genomic hybridization (CGH) technology is used to discover and validate genomic

227 cation of comparative genomic hybridization (CGH) to lesion-induced mutants for deletion mapping was

228 s such as comparative genomic hybridization (CGH) to metaphase spreads.

229 icroarray comparative genomic hybridization (CGH) to provide a more comprehensive and detailed analys

230 and array comparative genomic hybridization (CGH) together confirmed the presence of two CNVs.

231 ast dose, comparative genomic hybridization (CGH) was performed on 16 tumors harvested from five anim

232 Array comparative genomic hybridization (CGH) was performed on genomic DNA extracted from diagnos

233 Array comparative genomic hybridization (CGH) was used to compare gene content and copy number va

234 ray-based comparative genomic hybridization (CGH) with multiple species.

235 a form of comparative genomic hybridization (CGH), at a resolution exceeding previously published stu

236 Using Comparative Genomic Hybridization (CGH), differences were traced back to genetic heterogene

237 Comparative genomic hybridization (CGH)-array analysis is a powerful new molecular cytogene

238 icroarray comparative genomic hybridization (CGH)-based analysis has identified 2094 putative CNVs, w

239 ray-based comparative genomic hybridization (CGH).

240 ied using comparative genomic hybridization (CGH).

241 ing array comparative genomic hybridization (CGH).

242 alyzed by comparative genomic hybridization (CGH).

243 mes using comparative genomic hybridization (CGH).

244 -centric Comparative Genomic Hybridizations (CGH) array on cell lines and primary tumors.

245 ay-based comparative genomic hybridizations (CGH) interrogate genomic DNA to identify structural diff

246 most of the hybridizing DNA is equimolar in CGH data, such data are ideal for testing the general hy

247 Our data indicate CGH arrays can be used to detect monosomies and trisomie

248 y-based comparative genomic hybridization (M-CGH) is a powerful method for rapidly identifying region

249 Our M-CGH results indicate that there is considerable genetic

250 We used M-CGH to examine the genome diversity of 17 strains belong

251 re-replication can be detected by microarray CGH when only two replication proteins are deregulated,

252 ugh BAC microarrays have been used for mouse CGH studies, the resolving power of these analyses was l

253 be considered in the structural analysis of CGH datasets.

254 Depletion of CGH-1 results in sterility, but partially depleted worms

255 Loss of CGH-1/Ddx6 RNA helicase generates solid granules that ar

256 (1) Distances of all pairs of CGH samples are computed.

257 Cosine maps pairs of CGH samples into vectors in a high-dimensional space and

258 multiple cancers from a large population of CGH data.

259 inkage model which shows the relationship of CGH noisy coefficients of two scales in SWPT.

260 for classification and feature selection of CGH data.

261 ants, this study demonstrates the utility of CGH, exome sequence capture, and next-generation sequenc

262 In contrast, during oogenesis, CGH-1 forms patr-1-independent mRNA storage bodies.

263 hat in somatic tissues, the Dhh1 orthologue (CGH-1) forms Pat1 (patr-1)-dependent P bodies that are i

264 Our CGH method also identified 18 other intraspecies hyperva

265 1 SNPs (excluding var/rif/stevor genes), our CGH probe set detected SNPs with >99.9% specificity but

266 tion, an advantage of genotyping arrays over CGH arrays is the ability to detect signals from individ

267 hysically associates with the P-body protein CGH-1 and the core miRISC components ALG-1/2 and AIN-1.

268 The P body protein CGH-1/Rck/Dhh1 differs from CAR-1 in control of granule

269 In both synthetic and real CGH data, Stationary Wavelet Packet Transform (SWPT) is

270 Our purpose is to remove CGH noise in whole frequency while keeping true signal b

271 We have developed high-resolution CGH (HR-CGH) to detect accurately and with relatively li

272 he potential applications of high-resolution CGH analysis in a clinical setting.

273 regions were validated by higher-resolution CGH, paternity testing, cytogenetics, fluorescence in si

274 ortfall we have produced a simple and robust CGH microarray data analysis process that may be automat

275 tematic way of placing patients with similar CGH imbalance profiles into the same cluster.

276 Finally, gene-expression profiling and SNP CGH array previously performed on the same samples allow

277 We developed two modes of SNP-CGH analysis, a single sample and a paired sample mode.

278 We demonstrate the utility of SNP-CGH with two Infinium whole-genome genotyping BeadChips,

279 technology to genomic profiling, termed SNP-CGH, represents a further advance, since simultaneous me

280 or three sequenced Escherichia coli strains, CGH microarray data from 19 E. coli O157 pathogenic test

281 or collagen IV + gelatin + heparan sulfate (CGH) demonstrated significantly higher expression of CD3

282 The CGH data were subcategorized into individual cytogenetic

283 The CGH-1/CAR-1 interaction is conserved in Drosophila oocyt

284 to avoid using the noisy aberrations in the CGH samples.

285 By integrating the CGH, gene methylation and expression profiles of potenti

286 Analysis of the CGH findings in patients in whom induction chemotherapy

287 cally influenced by certain functions of the CGH-1/CAR-1 RNP complex.

288 the vortex beam caused by translation of the CGH.

289 f applying this simple and robust process to CGH microarray studies using bacterial genomes.

290 ooked by CGH-BAC arrays, and was superior to CGH-BAC arrays in resolving regions of complex CN variat

291 long to the same cluster as their underlying CGH profiles will be similar.

292 Using CGH, a subset of mutants was characterized, revealing de

293 Using CGH, only two (15.4%) of 13 samples showed any loss of 1

294 r analysis of chromosomal aberrations, using CGH and spectral karyotyping (SKY) was performed in our

295 fDNA extracted from AF can be analyzed using CGH microarrays to correctly identify fetal sex and aneu

296 sly analyzed by G-banding, were tested using CGH arrays to determine not only if the array could iden

297 We compared genome-wide CGH signal to sequence polymorphisms between parasite st

298 binding protein, CAR-1, that associates with CGH-1 and Y-box proteins within a conserved germline RNA

299 ur results suggest that CAR-1 functions with CGH-1 to regulate a specific set of maternally loaded RN

300 ), orthologs of which function together with CGH-1 in diverse organisms.