ライフサイエンスコーパス: microarray analysis

1 actor GOLDEN2-LIKE 1 (GLK1) in atrap-1 using 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 from either side of healthy porcine AVs for microarray analysis.

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

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

8 T cells, comparing them to Tc1 clones using microarray analysis.

9 abidopsis thaliana) roots were studied using microarray analysis.

10 performed knockdown of EPB41L4A followed by microarray analysis.

11 ding the identified SHs were monitored using microarray analysis.

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

13 corticoid dexamethasone through whole genome microarray analysis.

14 croRNA expression in prenatal human lungs by microarray analysis.

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

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

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

18 volved in cell migration/motility based on a microarray analysis.

19 rient transporters via biochemical tests and microarray analysis.

20 ociated with fatty acid uptake found through microarray analysis.

21 activation, combining polysome profiling and microarray analysis.

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

23 orted tonsillar ILC3s were assessed by using microarray analysis.

24 mphopenia underwent testing with chromosomal microarray analysis.

25 les per group was employed in transcriptomic microarray analysis.

26 7 and screened for possible effects by mRNA microarray analysis.

27 ose tissue biopsy samples were collected for microarray analysis.

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

29 re collected to measure gene expression with microarray analysis.

30 ge as determined by immunohistochemistry and microarray analysis.

31 Gene expression was determined using microarray analysis.

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

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

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

35 Using comprehensive microarray analysis and a bacterial artificial chromosom

36 Using microarray analysis and comparing wild-type and NeuroD2

37 Microarray analysis and comparison with human DKD showed

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

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

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

41 gingival transcriptome was determined with a microarray analysis and focused on the expression level

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

43 Using a combination of microarray analysis and genomic sequencing, we mapped th

44 We used microarray analysis and immunohistochemistry (IHC) to ex

45 ipant were taken at six-hourly intervals for microarray analysis and in silico integrative metabolic

46 By microarray analysis and quantitative PCR we identified a

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

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

49 gene expression profiles were determined by microarray analysis and quantitative RT-PCR, and express

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

51 Microarray analysis and single-cell RNA sequencing revea

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

53 We used Affymetrix microarray analysis and validated differentially express

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

55 pression pattern was profiled by genome-wide microarray analysis, and direct gene targets were identi

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

57 orescence in situ hybridization, chromosomal microarray analysis, and PCR studies.

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

59 f the myelination process, here we adopted a microarray analysis approach combined with laser-capture

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

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

62 Microarray analysis associated presence of NASH with alt

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

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

65 Microarray analysis clustered Treg-DC as a discrete popu

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

67 p/19q testing was performed with chromosomal microarray analysis (CMA).

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

69 Tissue microarray analysis confirmed reduced levels of FOXA1 pr

70 DNA microarray analysis confirmed that protease- and oxidati

71 Microarray analysis confirmed these findings and reveale

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

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

74 Concomitant microarray analysis demonstrated that exposure to physio

75 mRNA microarray analysis demonstrated that overexpression of

76 Tissue microarray analysis demonstrated that vascular expressio

77 PBMC microarray analysis detected 117 genes that were differe

78 2 genes that are differentially expressed in microarray analysis, DHI treatment up-regulated the expr

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

80 Microarray analysis found that expression of mrpJ mimick

81 Our microarray analysis found that most of the genes differe

82 In our microarray analysis, genes encoding proteins involved in

83 Finally, microarray analysis has characterized potential oncogene

84 Although microarray analysis has identified localized determinant

85 Microarray analysis highlighted the cadC/BA operon, and

86 Linkage microarray analysis identified a candidate region on chr

87 Tissue microarray analysis identified a correlation between abs

88 Microarray analysis identified dynamic changes in the tr

89 Microarray analysis identified elevated expression of th

90 Microarray analysis identified multifunctional genes mod

91 Microarray analysis identified reduced reticulon-1 mRNA

92 Microarray analysis identified six miRNAs differentially

93 Microarray analysis identified upregulation of genes inv

94 In Fto-deficient arteries, microarray analysis identified upregulation of L-Pgds wi

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

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

97 Microarray analysis in conjunction with real-time PCR re

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

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

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

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

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

103 Microarray analysis indicated that this correlated with

104 Gene microarray analysis indicated that UGT2B17 suppressed an

105 Microarray analysis indicated that YAP increased miR-206

106 A microarray analysis indicates that DKM overexpression af

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

108 Microarray analysis is used to tackle transplant-related

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

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

111 Microarray analysis of 123 common antigens failed to rev

112 In step 1, peptide microarray analysis of 42 monkey sera (30 of them tested

113 Microarray analysis of a fungal pathogen T. rubrum respo

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

115 Microarray analysis of Aag2 challenged with E.cloacae or

116 Microarray analysis of annotated transposons revealed a

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

118 In this study, microarray analysis of bladder RNA revealed down-regulat

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

120 Microarray analysis of both localized tumors and metasta

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

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

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

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

125 By microarray analysis of DeltapflB, differential regulatio

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

127 Whole genome microarray analysis of differential gene expression in W

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

129 Microarray analysis of exosomes secreted by hypoxic CPCs

130 Microarray analysis of GEN-exposed uteri during early pr

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

132 Time-course microarray analysis of glomeruli during nephrotoxic seru

133 Microarray analysis of heart tissue RNA revealed that th

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

135 Microarray analysis of hkH37Rv-stimulated PBMC indicated

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

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

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

139 Microarray analysis of IL-17 family cytokines was perfor

140 Microarray analysis of IRE1alpha- and XBP1-depleted cell

141 Microarray analysis of L. rhamnosus GG treated scratches

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

143 Via next-generation microarray analysis of leukocyte RNA we found that long

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 Microarray analysis of miRNVL5 transgenic Arabidopsis sh

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

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

150 Microarray analysis of mRNA from Ctcf CKO mouse hippocam

151 Separate microarray analysis of mRNA isolated specifically from C

152 Microarray analysis of mutant arterioles revealed upregu

153 Here we used gene microarray analysis of old and young murine epidermal st

154 tive, non-neutralizing mAb was determined by microarray analysis of peptides generated from the VP1 c

155 Microarray analysis of receptor activator of NF-kappaB l

156 miRNA microarray analysis of RNA from human cytotrophoblasts (

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

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

159 activated cell sorting (FACS) and subsequent microarray analysis of sensory neurons activated at 4 de

160 On-chip microarray analysis of serum biomarkers (e.g., cardiac t

161 Microarray analysis of SFRP1 in periampullary adenocarci

162 Microarray analysis of sputum cells provided transcripto

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

164 Microarray analysis of the effect of reducing ZNF658 exp

165 Microarray analysis of the knockdown samples suggested c

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

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

168 (RNA-induced Silencing Complex) followed by microarray analysis of the RISC-bound miRNA targets (RIP

169 Secondary microarray analysis of tissue-activated eosinophils demo

170 cDNA microarray analysis of TNBC cells stably integrated with

171 Microarray analysis of transgenic plants demonstrated th

172 Microarray analysis of ventricular tissue revealed that

173 Microarray analysis of VSMCs identified several MPA- and

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

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

176 Microarray analysis on AGM subpopulations demonstrates t

177 Microarray analysis on Arabidopsis showed that exposure

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

179 Microarray analysis on ex vivo sorted microglia from ips

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

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

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

183 A microarray analysis performed on FRDA patient's lymphobl

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 Using Microarray Analysis Quality Control (MAQC) data sets and

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

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

189 Microarray analysis, quantitative RT-PCR, and immunoblot

190 Initial microarray analysis revealed 23 differentially expressed

191 Microarray analysis revealed 28 genes that were at least

192 Microarray analysis revealed 399 differentially expresse

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

194 Blood microarray analysis revealed a distinct gene expression

195 Microarray analysis revealed a significantly modified pr

196 Microarray analysis revealed age-related changes in mult

197 Microarray analysis revealed altered transcription of ge

198 Genome-wide microarray analysis revealed changes in gene expression

199 Tissue microarray analysis revealed co-expression correlations

200 Gene microarray analysis revealed decreased IL-11 expression

201 Microarray analysis revealed down-regulation of Claudin-

202 Microarray analysis revealed downregulation of matrisome

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 A gene expression assessment by microarray analysis revealed FA affected FSK cells by al

208 Microarray analysis revealed genes involved in cell-cycl

209 Microarray analysis revealed significant changes in gene

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

211 Microarray analysis revealed that > 450 genes were regul

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

213 Microarray analysis revealed that 214 mRNAs were upregul

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

215 Microarray analysis revealed that 85% of transcripts tha

216 3-5p isomiRs in MDA-MB-231 cells followed by microarray analysis revealed that each isomiR has a dist

217 Affymetrix microarray analysis revealed that gamma interferon (IFN-

218 Microarray analysis revealed that OPN-OBs express charac

219 Microarray analysis revealed that OsKO2, which encodes e

220 Microarray analysis revealed that Sfmbt2 family miRNAs d

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

222 Microarray analysis revealed that the nuclear PSA-carryi

223 Microarray analysis revealed that these changes correspo

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

225 Microarray analysis revealed that ~40% of genes altered

226 Microarray analysis revealed three additional genes enco

227 Microarray analysis revealed upregulated mesenchymal gen

228 Tissue microarray analysis reveals that elevated SET expression

229 Microarray analysis reveals that this combinatory inhibi

230 miRNA microarray analysis, reverse transcription polymerase ch

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

232 Glycan microarray analysis showed an intriguing binding pattern

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 Microarray analysis showed that romidepsin altered early

244 Glycan microarray analysis showed that substitutions at residue

245 Tissue microarray analysis showed that the disease-free surviva

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

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

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

249 Microarray analysis suggested downregulated macrophage m

250 Microarray analysis suggested that altered O-GlcNAc cycl

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

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

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

254 ng underlying BBB maturation, we performed a microarray analysis that identified Fgfbp1 as a novel Wn

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

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

257 We performed microarray analysis to analyze gene expression profiles

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

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

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

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

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

263 We used microarray analysis to investigate gene expression in 15

264 feres with IgE activity, we performed lectin microarray analysis to unravel the relationship between

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

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

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

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

269 anscriptional profiling of DeltamtrB by gene microarray analysis, validated by quantitative RT-PCR, i

270 Microarray analysis was conducted to identify iAs-dysreg

271 DNA microarray analysis was employed to identify genes assoc

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 Microarray analysis was then used to profile the differe

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

280 Microarray analysis was used to study mRNA expression in

281 Microarray analysis was used to test the hypothesis that

282 Instead, using microarray analysis we have elucidated that ERalpha-medi

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

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

285 Using microarray analysis, we found that the expression patter

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

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

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

289 Using microarray analysis, we previously found three immunolog

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

291 20 most differentially expressed genes after microarray analysis were identified across all condition

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

293 regulated genes detected via custom-designed microarray analysis were validated using qPCR.

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

295 mergent metastatic lesions were subjected to microarray analysis, which identified 6-phosphofructo-2-

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

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

298 center cohort study, we integrated allograft microarray analysis with extensive clinical and histolog

299 Glycan microarray analysis with fluorescently labeled recombina

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