ライフサイエンスコーパス: DNA microarray

1 available, allowed the design of a "species" DNA microarray.

2 in HK1212 unique loci to construct a species DNA microarray.

3 nt with that of the wild-type strain using a DNA microarray.

4 apillary electrophoresis (CE) or a universal DNA microarray.

5 al cell line (L2) using an in-house 10 k rat DNA microarray.

6 ermined by hybridization of the product to a DNA microarray.

7 t of novel lab-on-a-chips with an integrated DNA microarray.

8 stimulated with thapsigargin was analyzed by DNA microarray.

9 or variants >300 kbp using a custom targeted DNA microarray.

10 Gene expression was measured using DNA microarrays.

11 PA, is able to identify viable Legionella on DNA microarrays.

12 orter incubation times than standard surface DNA microarrays.

13 h for 48 h, and samples were processed with DNA microarrays.

14 air loci and analyzed for gene content using DNA microarrays.

15 at are up-regulated at least threefold using DNA microarrays.

16 ation of adipocytes during development using DNA microarrays.

17 ng inside J774.1 macrophage-like cells using DNA microarrays.

18 ion (haRPA) was carried out on flow-based CL DNA microarrays.

19 s the real-time detection in gene expression DNA microarrays.

20 eins and identifying bound transcripts using DNA microarrays.

21 he requisite spatial selectivity to generate DNA microarrays.

22 ping zebrafish jaw after TCDD exposure using DNA microarrays.

23 s into the design and data interpretation of DNA microarrays.

24 DOT) to a low oxygen level (0.2% DOT) using DNA microarrays.

25 nds observed from experiments performed with DNA microarrays.

26 e expression in Leptospira interrogans using DNA microarrays.

27 dized to 44,000-element long-oligonucleotide DNA microarrays.

28 and affected gene expression as revealed by DNA microarrays.

29 molecular biology with the widespread use of DNA microarrays.

30 immobilization layer for the development of DNA microarrays.

31 y chromatin immunoprecipitation coupled with DNA microarrays.

32 d on 94 samples using generic, whole-genome, DNA microarrays.

33 and in vivo in muscle and lymph nodes using DNA microarrays.

34 ll with gene abundance levels as measured by DNA microarrays.

35 DNA microarray analyses identified 92 and 77 genes with

36 Some centers are using DNA microarray analyses to determine the effects of bota

37 arly analyzed and also used in complementary DNA microarray analyses.

38 g chromatin immunoprecipitation coupled with DNA microarray analysis (ChIP-chip) assays, we have show

39 Whole-genome analysis with ChIP and DNA microarray analysis (ChIP-chip) determined that gene

40 e, chromatin immunoprecipitation followed by DNA microarray analysis (ChIP-chip) was used to identify

41 ed chromatin immunoprecipitation (ChIP) with DNA microarray analysis (ChIP-on-chip) to identify genes

42 ly similar or separate entities we performed DNA microarray analysis (GEO accession number: GSE46922)

43 In this study, DNA microarray analysis and affinity purification of Cod

44 Through a combination of DNA microarray analysis and quantitative PCR we identifi

45 M. catarrhalis strains, as measured by both DNA microarray analysis and quantitative reverse transcr

46 DNA microarray analysis confirmed that protease- and oxi

47 DNA microarray analysis demonstrated differential expres

48 ate RRV is present in both malignancies, and DNA microarray analysis detected viral interleukin-6 (vI

49 DNA microarray analysis established that TrxR activates

50 DNA microarray analysis has emerged as a leading technol

51 DNA microarray analysis identified a subset of the hyp g

52 Exploratory DNA microarray analysis identified differential gene exp

53 cytoskeleton organization, and time-resolved DNA microarray analysis identified the genes encoding ac

54 apture microdissection-coupled complementary DNA microarray analysis is a powerful tool for studying

55 d circadian mechanisms, we have undertaken a DNA microarray analysis of An. gambiae under light/dark

56 ilm phenotypes, transcriptional profiling by DNA microarray analysis of biofilms of pdeB (in-frame de

57 (BDC2.5) transgenic nonobese diabetic mice, DNA microarray analysis of global gene expression in BDC

58 Furthermore, DNA microarray analysis of skin from Hoxc13(tm1Mrc) mice

59 In the present study, I first performed DNA microarray analysis of the replicon-bearing cells to

60 DNA microarray analysis of transcription in mouse V1 bef

61 genesis of MCPyV-negative MCCs, we performed DNA microarray analysis on 30 MCCs.

62 Our RNA-Seq results correlate well with DNA microarray analysis performed in parallel on the sam

63 DNA microarray analysis revealed a small group of candid

64 nt with the role of KMT2B in gene-activation DNA microarray analysis revealed that 152 genes were dow

65 DNA microarray analysis revealed that 324 H. ducreyi gen

66 DNA microarray analysis revealed that 4,670 and 7,028 tr

67 DNA microarray analysis revealed that activation of gene

68 DNA microarray analysis revealed that two other ORFs (MC

69 DNA microarray analysis reveals that the canonical Wnt s

70 DNA microarray analysis reveals the enrichment of DPE pr

71 DNA microarray analysis showed that PG0893 and PG2213 we

72 We combined neuroimaging and DNA microarray analysis to create a multidimensional map

73 Here, we use DNA microarray analysis to demonstrate that treatment of

74 oliferation, and xenograft assays as well as DNA microarray analysis to demonstrate the role of MOAP-

75 We used DNA microarray analysis to identify bursicon-regulated g

76 Here, we first used DNA microarray analysis to identify IFN-beta-inducible g

77 DNA microarray analysis was employed to identify genes a

78 lity using 260/280-nm absorbance ratios, and DNA microarray analysis was performed in a blinded fashi

79 Complementary DNA microarray analysis was performed on IM and SPEM cel

80 DNA microarray analysis was performed on LM- and EOM-Fib

81 DNA microarray analysis was used to characterize these i

82 DNA microarray analysis was used to determine whether at

83 stranded DNA (ssDNA) on a 10 microm spot for DNA microarray analysis where the signal is "blind" to n

84 ore and during akinete differentiation using DNA microarray analysis, and found to include multiple g

85 under circadian conditions was studied using DNA microarray analysis, identifying 651 differentially

86 From DNA microarray analysis, the putative dauBAR operon (for

87 Here, using DNA microarray analysis, we show that novel song exposur

88 ynx of the animals in numbers sufficient for DNA microarray analysis.

89 Host DNA methylation was measured by DNA microarray analysis.

90 B cells were sort purified and analyzed via DNA microarray analysis.

91 the change of the cellular transcriptome by DNA microarray analysis.

92 ptococcus pneumoniae, R36A, and analyzed via DNA microarray analysis.

93 is were significantly altered as assessed by DNA microarray analysis.

94 us was analyzed by genome-wide complementary DNA microarray analysis.

95 vivo gene expression patterns as measured by DNA microarray analysis.

96 dtangle works on a range of DNA microarray and bulk RNA-seq platforms.

97 CXCL13 was measured in lungs by DNA microarray and immunohistochemistry, and in plasma b

98 binding a TF directly to the double-stranded DNA microarray and labeling the protein-bound microarray

99 e been widely used for DNA immobilization in DNA microarray and numerous bioassays for decades, where

100 the three cutting-edge technologies of NGS, DNA microarray and our pulse laser retrieval system, Sni

101 (n = 4) and ST398 (n = 18) were screened by DNA microarray and PCR for the carriage of virulence and

102 The DNA microarray and qPCR results indicated that GM-CSF in

103 Meanwhile, medaka oligo DNA microarray and qRT-PCR were used for gene expression

104 DNA microarray and real-time PCR analyses identified a s

105 sponse to S. mansoni eggs, confirmed by both DNA microarray and real-time PCR analysis.

106 After 2 wk of a 4% salt diet, DNA microarray and real-time PCR identified genes relate

107 ce of at least 44 AggR-regulated genes using DNA microarray and real-time quantitative reverse transc

108 DNA microarray and real-time reverse transcriptase (RT)

109 DNA microarray and real-time reverse transcriptase PCR a

110 DNA microarray and real-time reverse transcription-PCR (

111 s monosaccharide components were compared by DNA microarray and RNA sequencing approaches.

112 DNA microarray and RT-PCR analyses significantly increas

113 Here, we used DNA microarray and RT-PCR to investigate changes in tran

114 ard this goal, we report here an integrative DNA microarray and sequencing-based analysis of pancreat

115 unctional changes of the cells, we performed DNA microarray and validated the related genes using qua

116 stem-wide measurements of gene expression by DNA microarray and, more recently, RNA-sequencing strate

117 th a 100-fM sensitivity, on par with optical DNA microarrays and at least 10 times higher than prior

118 NA and as a prospective tool for use in both DNA microarrays and biosensors, these results demonstrat

119 troscopy, swellable hydrogel double-stranded DNA microarrays and dye-labeled regulatory proteins, mak

120 ne response over the 2-week challenge, using DNA microarrays and flow cytometry, and correlated this

121 Comprehensive mining of DNA microarrays and Gene Ontology term enrichment analys

122 o detect events as the current generation of DNA microarrays and has over twofold better precision fo

123 ment of high throughput technologies such as DNA microarrays and next generation DNA sequencing, we h

124 The use of DNA microarrays and oligonucleotide chips of high densit

125 Using DNA microarrays and other physical approaches, we examin

126 Gene expression was derived from exon DNA microarrays and preadipocytes from obesity-resistant

127 action of AZA-1 is currently unknown, human DNA microarrays and qPCR were used to profile gene expre

128 In this study, we employed whole-genome DNA microarrays and quantitative PCRs to examine the tra

129 DNA microarrays and RNAseq are complementary methods for

130 9 gene and protein expression was studied by DNA microarrays and western blot.

131 We have used DNA-microarrays and RT-PCR to characterize the transcrip

132 profiling, hybridization to a pan-Salmonella DNA microarray, and prophage-based multiplex PCR.

133 sequencing, SNPchip-based linkage analysis, DNA microarray, and Sanger sequencing, we identified thr

134 MLST, DNA microarrays, and genome sequencing has allowed for a

135 roneous results with label-free detection of DNA microarrays, and offer remedies to increase the accu

136 ermined for 52 newly diagnosed GBMs by using DNA microarrays, and the relationship to enhancement pat

137 the application of this polymer coating for DNA microarray applications.

138 A complementary (c)DNA microarray approach was used to identify genes with

139 DNA microarrays are invaluable tools for biosensing appl

140 DNA microarrays are invaluable tools for the detection a

141 DNA microarrays are routinely applied to study diseased

142 DNA microarrays are used to profile changes in gene expr

143 To investigate in humans, we used DNA microarrays as well as serum metabolomic methods to

144 DNA microarray assay performance is commonly compromised

145 In this work, a user-friendly DNA microarray assay was developed for the authenticatio

146 whole assay procedure (DNA extraction plus a DNA microarray assay) directly from clinical specimens,

147 To further investigate, a DNA microarray assay, PCR-sequencing of bla genes, immun

148 h) transcription profiles were determined by DNA microarray assays for hormogonia of N. punctiforme f

149 We previously used DNA microarray assays to develop expression signatures,

150 bjects was analyzed by using a complementary DNA microarray at baseline after weight loss on a low-ca

151 abeled nucleic acids to custom-made, spotted DNA microarrays based on GAPSII-coated slides.

152 that are correlates of protection, we used a DNA microarray-based approach to compare the host genome

153 A comprehensive DNA microarray-based assay was performed on all isolates

154 ber 2017 and August 2019 was conducted using DNA microarray-based assays.

155 Using traditional and DNA microarray-based deletion mapping, a 7-bp deletion w

156 clone (based on MLST) was compared with its DNA microarray-based genotype.

157 n levels and technology biases, not only for DNA microarrays, but also for other technologies, such a

158 nges found in profiling experiments (such as DNA microarrays) by screening these altered genes to ide

159 o surface hybridization technologies such as DNA microarrays, by using MOs as the immobilized, or "pr

160 In this work, a DNA microarray capable in theory of parallel detection o

161 P to a distinct location of the surface of a DNA microarray chip through specific hybridization with

162 Chromatin immunoprecipitation coupled with DNA microarray (ChIP-chip) analysis reveals that H3K27ac

163 es (chromatin immunoprecipitation coupled to DNA microarray; ChIP-chip) showed that during mouse deve

164 A DNA microarray consisting of 94% of the open reading fra

165 Results were corroborated through a DNA microarray containing 354 antibiotic resistance (ABR

166 ncover biologically coherent structures from DNA microarray data based on a novel clustering algorith

167 By mining DNA microarray data bases at GenBank, we identified up-r

168 tive algorithm to three sets of experimental DNA microarray data from experiments with the yeast Sacc

169 d bioinformatic analysis was performed using DNA microarray data from two experimental formats: (1) v

170 The growing body of DNA microarray data has the potential to advance our und

171 Comparative metaprofiling of 12 DNA microarray data sets (comprising 631 samples and 241

172 by in silico analysis of publicly available DNA microarray data sets show a significant direct corre

173 4 multi-subunit protein complexes over large DNA microarray data sets was investigated in S. cerevisi

174 Functional annotation analysis of DNA microarray data was consistent with depressed innate

175 o use algorithms that reconcile case-control DNA microarray data with a molecular interaction network

176 informative features is small, such as with DNA microarray data, its performance tends to decline si

177 iGEMS was applied to two new DNA microarray datasets, including the high coverage Hum

178 DNA microarrays demonstrate that H-NS controls 69% of th

179 , but this kind of biochemical assay, unlike DNA microarrays, depends on a faithful reconstruction of

180 following the principle was transferred to a DNA microarray design showing successful spotting and hy

181 meters determined in this study should guide DNA microarray designs for applications that require seq

182 The DNA microarray detected bla(KPC) in all 12 isolates, and

183 and 5.2% of E. sibiricum CDS spotted on the DNA microarray detected differentially expressed genes i

184 nd archetype analysis from a functional gene DNA microarray, detected broad phylogenetic differences

185 technique, which can be coupled to universal DNA microarray detection, makes it an amenable tool to d

186 for a broad range of applications, including DNA microarrays, digital lab-on-a-chip, anti-fogging and

187 DNA microarrays (DNA chips) with species-specific oligon

188 can be expanded by enzymatic manipulation of DNA microarray elements, and the sensitivity of detectio

189 This method, i.e. real-time DNA microarrays, enhances the detection dynamic range of

190 Instead, DNA microarray experiments comparing gene expression in

191 ging process at the molecular level, we used DNA microarray experiments to identify a set of 1294 age

192 In DNA microarray experiments, discovering groups of genes

193 ponse of P. furiosus to S(0), as revealed by DNA microarray experiments.

194 trates can be readily applied to protein and DNA microarrays fabrication and, moreover, the described

195 ies the tags, which are then hybridized to a DNA microarray for indirect measurement of each analyte.

196 -genome sequencing (WGS) with PneumoCaT, and DNA microarray for samples from community carriage surve

197 describe the development and evaluation of a DNA microarray for the detection and genotyping of KPC g

198 evious study we developed a highly sensitive DNA microarray for the detection of common KRAS oncogeni

199 In the past few years, DNA microarray for transcriptome analysis has been augme

200 encing may provide a feasible alternative to DNA microarrays for detecting copy-number alterations.

201 So far, though, only DNA microarrays for the authentication of land vertebrat

202 Skin biopsy gene expression was analyzed by DNA microarray from 13 diffuse cutaneous systemic sclero

203 nscriptional profiling of F. tularensis with DNA microarrays from infected tissues revealed that Ftfa

204 In DNA microarray gene expression profiling studies, a fund

205 gene expression profile using complementary DNA microarrays, genotype at the IL28B SNP rs12979860, a

206 molecular technologies such as complementary-DNA microarray have the potential to increase the accura

207 such as polymerase chain reaction (PCR) and DNA microarrays have been well developed, they require s

208 ingle nucleotide polymorphisms and for which DNA microarrays have been widely deployed in bacterial g

209 Although DNA microarrays have decreased the cost of oligonucleoti

210 Our recent DNA microarrays have identified hepatocyte nuclear facto

211 ies including high-throughput sequencing and DNA microarrays have improved our ability to make genoty

212 While DNA microarrays have long been the established technolog

213 , we used chromatin immunoprecipitation with DNA microarray hybridization (ChIP-chip) analysis to inv

214 ich media (input pool) were identified using DNA microarray hybridization of transposon-specific tags

215 DNA microarray hybridization was conducted as described

216 ropose a competitive hybridization model for DNA microarray hybridization.

217 A DNA microarray identified Streptococcus gordonii genes r

218 DNA microarray, immunostaining, and RNA analyses reveale

219 large multicenter cohort, using a diagnostic DNA microarray in a Clinical Laboratory Improvement Amen

220 rcinoma, Bmi-1 amplification was detected by DNA microarray in a low percentage (3%).

221 ceptor (TCR) and surveyed gene expression by DNA microarray in purified CD4(+) T-cells.

222 plex detection capability for the readout of DNA microarrays in a lab-on-a-chip.

223 To address this question, DNA microarrays in combination with RAR isoform-specific

224 for 44,131 aptamers of known sequence using DNA microarrays in vitro.

225 sis using laser microdissection coupled with DNA microarrays, in combination with analysis of genome-

226 We used DNA microarrays, in situ hybridization, and quantitative

227 A microfluidic hydrogel DNA microarray is developed to overcome the limitations

228 ence of gene regulatory networks (GRNs) from DNA microarray measurements forms a core element of syst

229 Advances in technologies, such as DNA microarrays, microelectromechanical systems and micr

230 DNA microarray of peripheral blood mononuclear cells and

231 freely available to facilitate the design of DNA microarray oligonucleotide probes.

232 In the 1990s, we performed DNA microarrays on adipose tissue from adipose-specific

233 ed using laser microdissection combined with DNA microarray or quantitative PCR.

234 genome-wide gene expression was measured on DNA microarrays over a time course of 24 hours.

235 NA 12S rRNA, and GJB3, were screened using a DNA microarray platform.

236 cleotides on Agilent Technologies' SurePrint DNA microarray platform.

237 DNA microarrays present an alternative way to study diff

238 hese rules should improve the performance of DNA microarray probe designs for many applications.

239 ffect of SNPs on hybridization efficiency to DNA microarray probes of different lengths under differe

240 The oligonucleotide fingerprints, or DNA microarray probes, are designed for identifying targ

241 DNA microarray profiling revealed a lower expression of

242 DNA microarrays provide a powerful method for global ana

243 llus and crypt epithelium were determined by DNA microarray, quantitative real-time PCR, and immunohi

244 Using a combination of DNA microarray, quantitative real-time polymerase chain

245 Despite the widespread usage of DNA microarrays, questions remain about how best to inte

246 Panviral DNA microarrays represent the most robust approach for m

247 Using DNA microarrays representing the entire Escherichia coli

248 y applied to the manufacture and analysis of DNA microarrays, requires standard cell-culture faciliti

249 e it especially useful for interpretation of DNA microarray results.

250 the FDC-independent aggressive clone 33) by DNA microarray revealed that CD9 was the most differenti

251 Id2 was identified in DNA microarray screens for rhythmically expressed genes

252 n, cell death, and malignant transformation, DNA microarray screens have identified only a few human

253 We report an electrochemical DNA microarray sensor whose function is controlled with

254 Whole-genome DNA microarray showed that 23 transcripts were different

255 c capture of primary spleen cells on protein-DNA microarray spots but also their fast and specific or

256 However, DNA microarray studies have demonstrated that, shortly a

257 ecipitation, DNA affinity precipitation, and DNA microarray studies were performed.

258 e, which may lead to loss discovery power in DNA microarray studies.

259 We performed a DNA-microarray study searching for pathways affected bot

260 alidate whole transcriptome analyses such as DNA microarrays, suppressive subtractive hybridization (

261 as a simple but highly efficient and robust DNA microarray surface chemistry.

262 reactions, and report the construction of a DNA microarray synthesis platform based on semiconductor

263 apilloCheck (Greiner Bio-One) is a PCR-based DNA microarray system that can individually identify 24

264 DNA microarray technology allows for the measurement of

265 The increasing availability and maturity of DNA microarray technology has led to an explosion of can

266 A central, unresolved problem of DNA microarray technology is the interpretation of diffe

267 Advances in DNA microarray technology portend that molecular signatu

268 With the popularity of DNA microarray technology, multiple groups of researcher

269 The Virochip is a panviral DNA microarray that is capable of detecting all known vi

270 ized bacterial community composition using a DNA microarray that probes for 16S rRNA genes of 59,316

271 Here we report the use of a multi-genome DNA microarray to elucidate the genomic events associate

272 proteins in a Xenopus animal cap assay, and DNA microarray to identify downstream targets of Pax3 an

273 Here, we used a panviral DNA microarray to investigate the death of a captive bel

274 Here we report the use of a multi-genome DNA microarray to investigate the genome diversity of Ba

275 In this study, we used DNA microarrays to analyze gene expression in blood-deri

276 n the nonobese diabetic (NOD) mouse, we used DNA microarrays to analyze gene expression in CD4(+) T c

277 erium sp. strain NRC-1, we used whole-genome DNA microarrays to compare transcriptional profiles of c

278 previously used transcriptome profiling with DNA microarrays to identify 46 potential Zap1 target gen

279 We used DNA microarrays to identify copy-number variation associ

280 The use of DNA microarrays to identify nucleotide variation is almo

281 We used DNA microarrays to identify possible diagnostic features

282 We utilized DNA microarrays to optimize these scaffold sequences for

283 er than those in the cso operon, we utilized DNA microarrays to profile mycobacterial responses to ph

284 dvanced disease, we used microdissection and DNA microarrays to profile the gene expression of patien

285 We used DNA microarrays to profile the transcriptional effects o

286 he specificity of probes was investigated on DNA microarray using fluorescently labeled 16S rRNA targ

287 n silico probe design and fluorescence-based DNA microarray validation with electrochemical testing o

288 or ChIP-seq) with gene expression data (e.g. DNA microarray) via an unsupervised machine learning alg

289 reason, a flow-based chemiluminescence (CL) DNA microarray was developed that is able to quantify vi

290 se amplification (RPA) on defined spots of a DNA microarray was used to spatially separate the amplif

291 Using a splicing-sensitive DNA microarray, we assayed 352 Caenorhabditis elegans al

292 aks in regions termed "fragile sites." Using DNA microarrays, we mapped recombination events and chro

293 Using high-density DNA microarrays, we performed a comprehensive genome-wid

294 Besides to protein microarrays, DNA microarrays were also developed by spotting streptav

295 DNA microarrays were performed on abdominal aortas.

296 DNA microarrays were used as a platform for comparing my

297 Previously, DNA microarrays were used to investigate isolate source,

298 t a quantification method for affinity-based DNA microarrays which is based on the real-time measurem

299 DNA microarrays, which determine the expression levels o

300 prepare single-stranded and double-stranded DNA microarrays with comparable surface density, ensurin