ライフサイエンスコーパス: microarray analysis

1 activation, combining polysome profiling and microarray analysis.

2 ence-activated cell sorting for whole genome microarray analysis.

3 ) and monitored miRNA expression patterns by microarray analysis.

4 by flow cytometry, and RNA was subjected to microarray analysis.

5 orted tonsillar ILC3s were assessed by using microarray analysis.

6 from either side of healthy porcine AVs for microarray analysis.

7 role of the protein was further explored by microarray analysis.

8 oid tissues were used for miRNA profiling by microarray analysis.

9 abidopsis thaliana) roots were studied using microarray analysis.

10 NA and profiled the changes in expression by microarray analysis.

11 les per group was employed in transcriptomic microarray analysis.

12 corticoid dexamethasone through whole genome microarray analysis.

13 7 and screened for possible effects by mRNA microarray analysis.

14 croRNA expression in prenatal human lungs by microarray analysis.

15 ed from single-cell RNA template for further microarray analysis.

16 ose tissue biopsy samples were collected for microarray analysis.

17 -ischemic (HI) brains and sham control using microarray analysis.

18 as analyzed by genome-wide complementary DNA microarray analysis.

19 d with H pylori P12 wt or P12Deltacgt, using microarray analysis.

20 re collected to measure gene expression with microarray analysis.

21 iptional response to injury, as evidenced by microarray analysis.

22 xpressing and vector control cell lines by a microarray analysis.

23 icrodissection with complementary DNA (cDNA) microarray analysis.

24 Gene expression was determined using microarray analysis.

25 genes, monitored by both flow cytometry and microarray analysis.

26 actor GOLDEN2-LIKE 1 (GLK1) in atrap-1 using microarray analysis.

27 Whole-transcript microarray analysis (770,317 probes, interrogating 28,85

28 Using a microarray analysis (Affymetrix, High Wycombe, UK), we c

29 O-GlcNAc levels, we performed ChIP-chip and microarray analysis after OGT or OGA RNAi knockdown in S

30 via relative quantitative real-time PCR and microarray analysis an increase of mRNA levels under sul

31 Using comprehensive microarray analysis and a bacterial artificial chromosom

32 Through microarray analysis and beta-glucuronidase reporter line

33 Microarray analysis and chromatin immunoprecipitation ex

34 Using microarray analysis and comparing wild-type and NeuroD2

35 Microarray analysis and comparison with human DKD showed

36 Gene expression profiles were measured via microarray analysis and confirmed via quantitative polym

37 T cells with a p-value </=0.013 (n = 3) in a microarray analysis and displayed strongest association

38 Mutation detection by microarray analysis and DNA sequencing has confirmed tha

39 nated time points, we performed whole-genome microarray analysis and evaluated chromatin structure, D

40 Here, we performed a microarray analysis and found increased inflammatory gen

41 as a novel target of Mel-18 using a microRNA microarray analysis and found that Mel-18 increased miR-

42 ining the abundance of individual mutants by microarray analysis and next-generation sequencing are n

43 By microarray analysis and quantitative PCR we identified a

44 neurons were laser captured and subjected to microarray analysis and quantitative real-time PCR (qRT-

45 Here, microarray analysis and quantitative real-time PCR showe

46 Microarray analysis and real-time PCR were used to exami

47 luding SREBP1 and PNPLA3, as demonstrated by microarray analysis and siRNA experiments and could be c

48 We used Affymetrix microarray analysis and validated differentially express

49 lecular profiling, including DNA methylation microarray analysis, and did unsupervised class discover

50 and during akinete differentiation using DNA microarray analysis, and found to include multiple genes

51 tion (TC) RNA amplification, custom-designed microarray analysis, and subsequent validation of indivi

52 was downregulated in post-dependent rats on microarray analysis, and this was confirmed by qPCR.

53 capture microdissection-based, whole-genome microarray analysis approach to identify distinct keloid

54 iveness of the proposed formulation, we used microarray analysis as a case study, where genes with si

55 al guidelines support the use of chromosomal microarray analysis as a first-tier test in place of sta

56 Microarray analysis associated presence of NASH with alt

57 omonas salmonicida and the virus VHSV, using microarray analysis at four early life history stages; e

58 However, on microarray analysis C-82 treatment strongly up-regulated

59 Microarray analysis clustered Treg-DC as a discrete popu

60 by a number of means, including chromosomal microarray analysis (CMA) and whole-genome sequencing (W

61 nate from zona glomerulosa, we carried out a microarray analysis comparing transcriptomes of zona glo

62 DNA microarray analysis confirmed that protease- and oxidati

63 Microarray analysis confirmed these findings and reveale

64 In addition, the results of the microarray analysis corroborated previous findings conce

65 nts during rice early embryogenesis, we used microarray analysis coupled with laser microdissection t

66 Microarray analysis demonstrated defects in fatty acid o

67 Microarray analysis demonstrated that EP4 stimulation br

68 Concomitant microarray analysis demonstrated that exposure to physio

69 Microarray analysis demonstrated that GPR84 significantl

70 mRNA microarray analysis demonstrated that overexpression of

71 Tissue microarray analysis demonstrated that vascular expressio

72 PBMC microarray analysis detected 117 genes that were differe

73 2 genes that are differentially expressed in microarray analysis, DHI treatment up-regulated the expr

74 Microarray analysis enables the genome-wide expression p

75 m patients and spontaneous mouse models, and microarray analysis following the knockdown of NCOA3 wer

76 Microarray analysis found that expression of mrpJ mimick

77 Our microarray analysis found that most of the genes differe

78 Microarray analysis further revealed that overexpression

79 In our microarray analysis, genes encoding proteins involved in

80 Finally, microarray analysis has characterized potential oncogene

81 Although microarray analysis has identified localized determinant

82 Microarray analysis highlighted the cadC/BA operon, and

83 Linkage microarray analysis identified a candidate region on chr

84 Microarray analysis identified multifunctional genes mod

85 Microarray analysis identified reduced reticulon-1 mRNA

86 Microarray analysis identified six miRNAs differentially

87 Microarray analysis identified upregulation of genes inv

88 Expression levels were determined by microarray analysis in 146 individuals.

89 s in this study highlights the importance of microarray analysis in adults with unexplained childhood

90 ts were identified from exome sequencing and microarray analysis in each individual, of which on aver

91 ature in the form of semantic relations with microarray analysis in generating contribution-weighted

92 After exercise, a microarray analysis in quadriceps revealed ATF3 affects

93 tical approaches relevant to DNA methylation microarray analysis in terms of false discovery rate con

94 Microarray analysis, in situ hybridization, and ChIP rev

95 Guided by initial microarray analysis, in vitro studies revealed that IFN-

96 d differences in gene expression patterns on microarray analysis including cell-cell adhesion factors

97 of approximately 700 genes as determined by microarray analysis, including genes related to virulenc

98 Our microarray analysis indicated that recombinant IL-22 (rI

99 Microarray analysis indicated that the cytoskeletal remo

100 Microarray analysis indicated that this correlated with

101 Gene microarray analysis indicated that UGT2B17 suppressed an

102 Microarray analysis indicated that YAP increased miR-206

103 A microarray analysis indicates that DKM overexpression af

104 Gene expression profiling (GEP) via microarray analysis is a widely used tool for assessing

105 Microarray analysis is used to tackle transplant-related

106 Using Affymetrix microarray analysis of 102 breast cancers, we identified

107 M2-polarized macrophages were identified by microarray analysis of 111 patients with UM, and the ass

108 A tissue microarray analysis of 198 human mesothelioma specimens

109 Microarray analysis of 35S::AtC3H14 plants revealed that

110 Microarray analysis of 769-P ccRCC-derived cells where H

111 Microarray analysis of a fungal pathogen T. rubrum respo

112 Through microarray analysis of a SS cell line, we surveyed globa

113 Microarray analysis of Aag2 challenged with E.cloacae or

114 Microarray analysis of annotated transposons revealed a

115 An RNA microarray analysis of B16F10-Nex2 melanoma cells with S

116 Transcriptomic profiles were generated by microarray analysis of blood from 610 patients with asth

117 Microarray analysis of both localized tumors and metasta

118 Blood microarray analysis of CAP and no-CAP patients revealed

119 thod to study experimental data derived from microarray analysis of CD and UC biopsies and human inte

120 Consequently, gene expression microarray analysis of CD4(+) T cells following P. yoeli

121 Differential cell counts, microarray analysis of cell pellets, and SOMAscan analys

122 Microarray analysis of cells infected with a recombinant

123 Microarray analysis of cells overexpressing LMX1B identi

124 By microarray analysis of DeltapflB, differential regulatio

125 a single-cell cloning strategy coupled with microarray analysis of different Treg functional subsets

126 Whole genome microarray analysis of differential gene expression in W

127 accuracy of the expression patterns found by microarray analysis of embryo subdomains using in situ h

128 Microarray analysis of exosomes secreted by hypoxic CPCs

129 fic surface marker for malignant SS cells, a microarray analysis of gene expression was performed.

130 ha on molecular pathways during nephritis by microarray analysis of glomerular extract gene expressio

131 Time-course microarray analysis of glomeruli during nephrotoxic seru

132 l role in the regulation of gene expression, microarray analysis of Hdac1/2-deleted cells reveals 1,7

133 Microarray analysis of heart tissue RNA revealed that th

134 Genome-wide microarray analysis of heterochronic parabionts--in whic

135 -IRIS, we performed longitudinal whole-blood microarray analysis of HIV-infected patients with TBM an

136 Microarray analysis of hkH37Rv-stimulated PBMC indicated

137 Microarray analysis of HO-1-depleted and control EC expo

138 RNA-seq and microarray analysis of human monocyte and macrophage tra

139 Consistent with this, microarray analysis of hypothalamic gene expression reve

140 Microarray analysis of IL-17 family cytokines was perfor

141 Microarray analysis of IRE1alpha- and XBP1-depleted cell

142 Microarray analysis of L. rhamnosus GG treated scratches

143 To this end, we used microarray analysis of laser capture microdissection (LC

144 Microarray analysis of lipopolysaccharide/ATP-stimulated

145 Microarray analysis of liver and adipose tissue biopsies

146 Microarray analysis of miR-183 family cluster overexpres

147 In this study, we conducted a global microarray analysis of miRNA expression in 40 pairs of b

148 Microarray analysis of miRNVL5 transgenic Arabidopsis sh

149 Microarray analysis of mouse cells incubated with nemato

150 By performing a microarray analysis of mouse prostate tissue to screen d

151 We first performed a microarray analysis of mPFC gene expression changes indu

152 Microarray analysis of mRNA from Ctcf CKO mouse hippocam

153 Separate microarray analysis of mRNA isolated specifically from C

154 Microarray analysis of mutant arterioles revealed upregu

155 We gained initial insight from microarray analysis of pulmonary epithelia exposed to co

156 Microarray analysis of receptor activator of NF-kappaB l

157 miRNA microarray analysis of RNA from human cytotrophoblasts (

158 TFIIS.h is revealed as a p53 target through microarray analysis of RNAs extracted from cells treated

159 enes involved in this process we performed a microarray analysis of RPE cells pre- and post-FR treatm

160 ell adhesion molecules and a network-focused microarray analysis of the corresponding genes in period

161 Microarray analysis of the DR revealed a dramatic increa

162 Microarray analysis of the effect of reducing ZNF658 exp

163 Microarray analysis of the knockdown samples suggested c

164 Microarray analysis of the lungs of naive and CMV-infect

165 Consistent with this observation, microarray analysis of the rgfC mutant indicated that >2

166 Secondary microarray analysis of tissue-activated eosinophils demo

167 Microarray analysis of transgenic grape cells overexpres

168 Microarray analysis of transgenic plants demonstrated th

169 Microarray analysis of VSMCs identified several MPA- and

170 mechanisms through which ES affects repair, microarray analysis of wound biopsy samples was performe

171 lymerase chain reaction as an alternative to microarray analysis on a subset of these elevated genes.

172 Microarray analysis on AGM subpopulations demonstrates t

173 Microarray analysis on Arabidopsis showed that exposure

174 ssociated with HDAC inhibition, we performed microarray analysis on brain and muscle samples treated

175 ntify this potential mechanism, we performed microarray analysis on control and shMCT4-expressing neu

176 Microarray analysis on ex vivo sorted microglia from ips

177 olution magnetic resonance imaging (MRI) and microarray analysis on highly discrete laser-microdissec

178 In this study, we used microarray analysis on K13-expressing wild-type and NEMO

179 phoma in the Tg26 mouse model, and performed microarray analysis on RNA from spleen and lymph nodes t

180 roles of polyamines, we carried out a global microarray analysis on the effect of adding polyamines t

181 Microarray analysis on the patient's skin highlighted di

182 re measured using reverse transcriptase PCR, microarray analysis or high-throughput sequencing.

183 guidelines indicate that either chromosomal microarray analysis or standard karyotype can be offered

184 By establishing the developed assay on the microarray analysis platform MCR 3, the automation of is

185 1) to 10(5)GUmicroL(-1) were analyzed on the microarray analysis platform MCR 3.

186 An RNA-immunoprecipitation and microarray analysis protocol, eRIP, that has high specif

187 Using Microarray Analysis Quality Control (MAQC) data sets and

188 o infection with periodontal pathogens using microarray analysis, quantitative PCR (qPCR), enzyme-lin

189 Livers were evaluated by microarray analysis, quantitative real-time polymerase c

190 Microarray analysis, quantitative RT-PCR, and immunoblot

191 ptosis are reported in the brain in AD and a microarray analysis reported greater MAO-A messenger RNA

192 Initial microarray analysis revealed 23 differentially expressed

193 Microarray analysis revealed 28 genes that were at least

194 Microarray analysis revealed 399 differentially expresse

195 Microarray analysis revealed 5 candidate miRNAs (miR-34a

196 Blood microarray analysis revealed a distinct gene expression

197 Interestingly, comparative microarray analysis revealed a significant up-regulation

198 Microarray analysis revealed a significantly modified pr

199 Microarray analysis revealed additional targets of the m

200 Microarray analysis revealed altered transcription of ge

201 Genome-wide microarray analysis revealed changes in gene expression

202 Gene microarray analysis revealed decreased IL-11 expression

203 Microarray analysis revealed downregulation of several p

204 Microarray analysis revealed enhancements in IL-6- and I

205 the pro-B-cell stage of B-cell development, microarray analysis revealed enrichment of transcripts,

206 Microarray analysis revealed extensive downregulation of

207 Microarray analysis revealed increased expression of Bmp

208 B and CDCA3 in hepatoma cells and subsequent microarray analysis revealed significant deregulation of

209 Microarray analysis revealed that > 450 genes were regul

210 Tissue microarray analysis revealed that >98% of ovarian cancer

211 Microarray analysis revealed that 214 mRNAs were upregul

212 DNA microarray analysis revealed that 4,670 and 7,028 transc

213 Microarray analysis revealed that 85% of transcripts tha

214 ion of the activation tag insertion site and microarray analysis revealed that ATHB13, a homeodomain-

215 3-5p isomiRs in MDA-MB-231 cells followed by microarray analysis revealed that each isomiR has a dist

216 Affymetrix microarray analysis revealed that gamma interferon (IFN-

217 li for IL-10 secretion in human B cells, but microarray analysis revealed that human B cells cotreate

218 Microarray analysis revealed that OsKO2, which encodes e

219 Microarray analysis revealed that Sfmbt2 family miRNAs d

220 mRNA profiling by microarray analysis revealed that the expression of PTPR

221 Microarray analysis revealed that the nuclear PSA-carryi

222 Microarray analysis revealed that these changes correspo

223 A whole-genome microarray analysis revealed that VirR and VirS substant

224 Microarray analysis revealed three additional genes enco

225 Glycan microarray analysis reveals that both viruses exhibit a

226 Tissue microarray analysis reveals that elevated SET expression

227 Surprisingly, a microarray analysis reveals that only a small number of

228 Microarray analysis reveals that this combinatory inhibi

229 DNA microarray analysis reveals the enrichment of DPE promot

230 miRNA microarray analysis, reverse transcription polymerase ch

231 erformed RNA immunoprecipitation followed by microarray analysis (RIP-chip) to recover and identify t

232 Microarray analysis showed 108 differentially expressed

233 Microarray analysis showed enrichment of DNA replication

234 Microarray analysis showed increased Tgf-beta and endoth

235 MiRNA microarray analysis showed OA specific exosomal miRNA of

236 Global microarray analysis showed significant (P < 0.05) suppre

237 nked sialic acids for infections, and glycan microarray analysis showed that EIV and CIV HA-Fc fusion

238 Tissue microarray analysis showed that elevated CDK11(p110) exp

239 Genome-wide microarray analysis showed that fungicide chlorothalonil

240 Liver microarray analysis showed that high mIndy expression wa

241 Microarray analysis showed that KLF13 and MYB gene expre

242 Microarray analysis showed that many OA transporters com

243 Tissue microarray analysis showed that the disease-free surviva

244 Sialoside glycan microarray analysis showed that the H10 HA retains a str

245 A genome-wide microarray analysis showed that, in addition to the T3SS

246 Our microarray analysis shows changes in 3' splice site sele

247 cDNA array and tumor microarray analysis shows that mRNA and protein levels o

248 Microarray analysis suggested downregulated macrophage m

249 Microarray analysis suggested that altered O-GlcNAc cycl

250 Microarray analysis, supplemented by real-time PCR and W

251 ernative to conventional optical methods for microarray analysis thanks to its potential advantages l

252 We propose a novel approach to microarray analysis that attains many of the advantages

253 In this study, we observed by microarray analysis that several type I IFN-associated g

254 In this study we analyzed, using microarray analysis, the bacterial modulation of miRNAs

255 We performed microarray analysis to analyze gene expression profiles

256 eration, and xenograft assays as well as DNA microarray analysis to demonstrate the role of MOAP-1 as

257 We used an Ag microarray analysis to detect binding to a selection of

258 al inner medullary collecting-duct cells and microarray analysis to identify genes affected by the en

259 In the current study, we used microarray analysis to identify hepatic genes that chang

260 Here, we first used DNA microarray analysis to identify IFN-beta-inducible genes

261 d next-generation sequencing (ChIP-Seq) with microarray analysis to identify microRNAs (miRNAs) that

262 We used microarray analysis to investigate gene expression in 15

263 We performed tissue microarray analysis to verify changes in expression of c

264 Here we use ChIP-sequencing, integrated with microarray analysis, to define the genome-wide interplay

265 ds, such as non-invasive cfDNA screening and microarray analysis, to provide improved genetic counsel

266 Here, an extensive histone peptide microarray analysis uncovers trimethyl-lysine histone-bi

267 We conducted an miRNA microarray analysis using RNA from a parental cell line,

268 dance between the agar proportion method and microarray analysis was 89.5% (137/153).

269 Microarray analysis was conducted on inguinal white adip

270 DNA microarray analysis was employed to identify genes assoc

271 e treated with doxorubicin (DXR), and global microarray analysis was performed 3 hours after treatmen

272 Microarray analysis was performed and gene expression ch

273 Microarray analysis was performed in a murine model of a

274 Microarray analysis was performed on blood samples from

275 The microarray analysis was performed on infected Arabidopsi

276 markers of AI responsiveness, a genome-wide microarray analysis was performed using primary breast t

277 Microarray analysis was performed using tissues from Mir

278 In the present study, unbiased microarray analysis was used to examine differential gen

279 Microarray analysis was used to measure hypothalamic and

280 Microarray analysis was used to study mRNA expression in

281 Microarray analysis was used to test the hypothesis that

282 By applying gene microarray analysis, we discovered neural precursor cell

283 Through unbiased microarray analysis, we found that in CLL cells, HIF-1al

284 From a microarray analysis, we found that RPE cells express par

285 Based on microarray analysis, we have identified a role for micro

286 Using microarray analysis, we have shown that expression of Pa

287 n this study, using FACS-based isolation and microarray analysis, we identified a set of transcriptio

288 By microarray analysis, we identified and validated insulin

289 Using a microarray analysis, we identified several genes that ar

290 Here by using in vivo microarray analysis, we identify forkhead box C1 (Foxc1)

291 Using miRNA microarray analysis, we observed acute and chronic chang

292 Using microarray analysis, we previously found three immunolog

293 orticosteroids at the time of blood draw for microarray analysis were classified in the septic shock

294 20 most differentially expressed genes after microarray analysis were identified across all condition

295 nificant differences at transcript levels by microarray analysis were identified for macrosclerid cel

296 ound to be upregulated in Sle2(z) B cells by microarray analysis, Western blot, and functional assays

297 microglial exosomes were collected for miRNA microarray analysis, which showed that the expression le

298 P-positive subjects after IgE ImmunoCAP-ISAC microarray analysis with Ara h 9, Art v 3, Cor a 8, Jug

299 Glycan microarray analysis with fluorescently labeled recombina

300 -dC-induced senescence were subjected to miR-microarray analysis with respect to the untreated contro