ライフサイエンスコーパス: cDNA microarray

1 levels of unamplified and amplified RNA on a cDNA microarray.

2 me database and a large-scale songbird brain cDNA microarray.

3 al neoplasia using a sequence-verified human cDNA microarray.

4 pression data derived from the public tomato cDNA microarray.

5 nal degeneration on a 12,325-feature retinal cDNA microarray.

6 (ES) cells and amplified them to construct a cDNA microarray.

7 er activation of LFY using a flower-specific cDNA microarray.

8 ata sets: two Affymetrix microarrays and one cDNA microarray.

9 cessing streams, we designed a custom ferret cDNA microarray.

10 es that had previously been characterized by cDNA microarray.

11 purge were investigated using a 23 K element cDNA microarray.

12 at in the fellow ONH (n = 6/group), by using cDNA microarrays.

13 rential hybridization using mouse tooth germ cDNA microarrays.

14 icle regions were obtained and analyzed with cDNA microarrays.

15 E), 18 BEs, and nine EACs were hybridized to cDNA microarrays.

16 to elevated [CO(2)] were investigated using cDNA microarrays.

17 paired MK and EB cultures and compared using cDNA microarrays.

18 , reverse transcribed, and hybridized to rat cDNA microarrays.

19 racterized genetically by using whole-genome cDNA microarrays.

20 lobal expression patterns was assessed using cDNA microarrays.

21 gy considerably increases the sensitivity of cDNA microarrays.

22 ene expression profiling on mouse Lymphochip cDNA microarrays.

23 sentations (LCRs) of mRNA as the targets for cDNA microarrays.

24 insulin were assessed by endocrine pancreas cDNA microarrays.

25 and hybridized to approximately 42,000 clone cDNA microarrays.

26 liferation genes identified previously using cDNA microarrays.

27 beled DA cells to screen the RIKEN 19k mouse cDNA microarrays.

28 harvested and profiled using 20,000 element cDNA microarrays.

29 occus radiodurans following DNA damage using cDNA microarrays.

30 interrogated by transcriptome profiling with cDNA microarrays.

31 were compared by using canine retinal custom cDNA microarrays.

32 ored at 1, 2, 4, and 6 hours after PHx using cDNA microarrays.

33 4, with an adult sample type (leaf 9) using cDNA microarrays.

34 ysis typically applied to complementary DNA (cDNA) microarrays.

35 Using cDNA microarrays, ALK(+) ALCL cell lines consistently ex

36 cDNA microarray analyses bolstered by expression studies

37 cDNA microarray analyses disclosed the targets affected

38 , NR4A3 and NR4A1, was altered by insulin in cDNA microarray analyses of human skeletal muscle, we st

39 Furthermore, cDNA microarray analyses of lung tumor samples showed th

40 cDNA microarray analyses of these isogenic variants were

41 Differential cDNA microarray analyses showed that connective tissue g

42 The findings from CGH and cDNA microarray analyses were correlated and validated b

43 cDNA microarray analyses were used to identify lung gene

44 Among the down-regulated genes revealed by cDNA microarray analyses, we identified Aurora-A, a cent

45 ential display reverse transcription-PCR and cDNA microarray analyses.

46 e polysomes during mitosis, as determined by cDNA microarray analyses.

47 5fluorouracil/leucovorin, as demonstrated by cDNA microarray analyses.

48 or the p53-induced G2/M arrest, we conducted cDNA microarray analyses.

49 Fluorescence-activated cell sorting and cDNA-microarray analyses revealed that each subclone was

50 2 RNA transcript expression, as detected by cDNA-microarray analyses.

51 cDNA microarray analysis after Gal-3 silencing revealed

52 ferentially expressed genes were detected by cDNA microarray analysis and confirmed by Northern blot

53 cDNA microarray analysis and flow cytometry revealed inc

54 cDNA microarray analysis and functional gene clustering

55 t the tumor-bone interface using comparative cDNA microarray analysis and quantitative reverse transc

56 cDNA microarray analysis assessing genes differentially

57 A cDNA microarray analysis for HGF-inducible genes reveale

58 Angiogenesis-specific cDNA microarray analysis identified 4 mediators of angio

59 Lung cDNA microarray analysis identified 47 significantly up-

60 Transcriptome profiling via cDNA microarray analysis identified 869 genes that are d

61 cDNA microarray analysis identified the Bcl-2, CARD, and

62 However, cDNA microarray analysis indicated that PhIP treatment d

63 cDNA microarray analysis of 12,687 genes then revealed t

64 ure of EpCAM-positive HCCs was identified by cDNA microarray analysis of 40 HCC cases and validated b

65 tively down-regulated in MSI-H cancers using cDNA microarray analysis of 41 primary colon cancers.

66 tive lupus glomerulonephritis was studied by cDNA microarray analysis of gene expression in glomeruli

67 Guided by cDNA microarray analysis of human microvascular endothel

68 cDNA microarray analysis of lung tissue from mice subjec

69 cDNA microarray analysis of Pdcd4-overexpressing RKO hum

70 cDNA microarray analysis of peri-infarct tissue was done

71 We used cDNA microarray analysis of RMS cell lines, derived from

72 cDNA microarray analysis of the SP cells indicated highe

73 cDNA microarray analysis of TNBC cells stably integrated

74 Expression cDNA microarray analysis on bladder cancer cells followi

75 Genome-wide cDNA microarray analysis revealed 1,888 differentially e

76 cDNA microarray analysis revealed gene clusters that wer

77 n parental cells and sublines by genome-wide cDNA microarray analysis revealed several potential medi

78 In this study, cDNA microarray analysis revealed significant changes in

79 Moreover, cDNA microarray analysis revealed significantly fewer IF

80 cDNA microarray analysis showed that engagement of GITR

81 In the present study, we find by cDNA microarray analysis that Pax2 expression in second-

82 We have used cDNA microarray analysis to assess gene expression in hu

83 expressing a mutant mTOR, we have performed cDNA microarray analysis to compare global gene expressi

84 We used cDNA microarray analysis to compare the gene expression

85 We used cDNA microarray analysis to identify molecular changes u

86 collected using an in vivo invasion assay to cDNA microarray analysis to identify the gene expression

87 Affymetrix cDNA microarray analysis was conducted to identify a new

88 Additionally, cDNA microarray analysis was performed on a 4-HPR-sensit

89 cDNA microarray analysis was performed on RNA from cardi

90 Candidate genes derived from a cDNA microarray analysis were cloned and transiently ove

91 By cDNA microarray analysis, 54 genes located on or near th

92 of apoptosis-related genes as determined by cDNA microarray analysis, and increased cellular sensiti

93 Using cDNA microarray analysis, fibroblasts derived from palmo

94 In this study, using cDNA microarray analysis, we demonstrate that angiogenic

95 Using cDNA microarray analysis, we identified that the express

96 Using cDNA microarray analysis, we investigated whether gene a

97 ated at 1, 4, 10, and 24 h and processed for cDNA microarray analysis.

98 sponses, evident by NF-kappaB activation and cDNA microarray analysis.

99 d the expression profile of AIMAH by genomic cDNA microarray analysis.

100 cell lines, A375SM and C8161, and conducted cDNA microarray analysis.

101 ch itself was upregulated by 6.9-fold in our cDNA microarray analysis.

102 ho GDIalpha transgenic mice was subjected to cDNA microarray analysis.

103 was highly expressed in ExeR cells based on cDNA microarray analysis.

104 ture microdissection with complementary DNA (cDNA) microarray analysis.

105 cDNA microarrays analyzed to identify genes correlating

106 clinical biomarker for lung cancer, we used cDNA microarray and 2D protein analyses to demonstrate t

107 . mansoni, was hybridized to the custom made cDNA microarray and 98 differentially expressed genes or

108 of wild-type plants using a flower-specific cDNA microarray and a whole genome oligonucleotide array

109 cancer samples between data sets produced by cDNA microarray and Affymetrix gene-chip platforms.

110 on of various cytokine genes was analyzed by cDNA microarray and by a cytokine protein array.

111 f lncRNAs in human CML cells using an lncRNA cDNA microarray and identified an lncRNA termed lncRNA-B

112 cDNA microarray and kinetic-PCR analysis revealed dimini

113 in highly tumorigenic breast cancer cells by cDNA microarray and RNA interference (RNAi) analysis, an

114 ay studies were carried out using 20 K human cDNA microarray and select genes were validated using qu

115 ted to be downregulated in ovarian cancer by cDNA microarray and suppression subtraction cDNA (SSH) a

116 arget solution, specifically adsorbed onto a cDNA microarray and then detected with SPRI.

117 Genomic screening by cDNA microarray and validation internally by real-time R

118 trol cultures by using a custom human retina cDNA microarray and were validated by quantitative real-

119 cDNA microarray and Western blot analyses of adenocarcin

120 cDNA microarray and Western blot analyses reveal that th

121 cytes for gene expression using high-density cDNA microarrays and analyzed T cell subsets, CD4 and CD

122 ression profiling in plants with emphasis on cDNA microarrays and discussion of both experimental des

123 profiles were compared by using genome-wide cDNA microarrays and label-free quantitative proteomics,

124 We printed cDNA microarrays and profiled gene expression in the hig

125 The use of cDNA microarrays and real-time quantitative PCR revealed

126 with the rate of muscle weight loss, we used cDNA microarrays and RT-polymerase chain reaction to ana

127 rat models of glaucoma by using whole genome cDNA microarrays and were further validated by quantitat

128 ession data obtained from complementary DNA (cDNA) microarrays and corresponding DNA copy number vari

129 by way of comparative genomic hybridization, cDNA microarray, and proteomic analysis.

130 ated melanoma phenotypes was hybridized to a cDNA microarray, and their signature genes were studied.

131 ferentially expressed genes were analyzed by cDNA microarray, and they were validated by immunohistoc

132 s for Microarray Data (LIMMA) for processing cDNA microarrays, and differential gene expression analy

133 scriptase-polymerase chain reaction, focused cDNA microarrays, and immunocytochemistry.

134 arried out with oligonucleotide microarrays, cDNA microarrays, and reverse transcription (RT)-PCR ass

135 in animal models for which species-specific cDNA microarrays are not available.

136 In this regard, a cDNA microarray assay was performed to identify p53 targ

137 ducts contributing to IRI were identified by cDNA microarray at 4-h posttransplant.

138 port here the adaptation and evaluation of a cDNA microarray-based CGH method for the routine charact

139 We have done such mapping using cDNA microarray-based comparative genomic hybridization

140 linearly amplified (LCM-LA) and subjected to cDNA microarray-based expression analysis.

141 Here we report a cDNA microarray-based study in NIH 3T3 fibroblasts expre

142 An Affymetrix cDNA microarray chip (Pvi_cDNAa520831) containing 122 97

143 We performed analyses using a cDNA microarray containing 15,000 murine genes.

144 Transcriptional profiling using a cDNA microarray containing 2400 named genes identified 1

145 We performed analyses using a cDNA microarray containing 39,000 murine genes.

146 A swine cDNA microarray containing 7,712 macrophage cDNA clones

147 Transcriptional profiling with a cDNA microarray containing approximately 2400 known gene

148 ith this autopolyploid series using a potato cDNA microarray containing approximately 9000 genes.

149 Hybridization experiments of a cDNA microarray containing paired normal and tumor speci

150 ve performed gene expression profiling using cDNA microarrays containing 42,578 clones and used artif

151 4 with and without MYCN amplification, using cDNA microarrays containing 42,578 elements.

152 cimens and nine lymph node metastases, using cDNA microarrays containing approximately 26,000 genes.

153 is indicates that existing data generated by cDNA microarrays containing IMAGE clone ESTs should be f

154 Seventeen genes from the cDNA microarray correlated with locoregional failure (tw

155 Meta-analysis of existing cDNA microarray data also revealed that KLF4 is frequent

156 und correction is an important preprocess in cDNA microarray data analysis.

157 y integrating a database of TRN information, cDNA microarray data analyzers, bioinformatics modules,

158 tant for cancer stem-like cells, we analyzed cDNA microarray data and identified nine pathways that w

159 plied principal components (PCs) analysis to cDNA microarray data from 36 breast cancers.

160 Gene ontology analysis of cDNA microarray data obtained after BMP9 treatment of pr

161 In this study, we used cDNA microarray data to determine APLNR expression level

162 cDNA microarray data were collected both from patients e

163 ve an important role in the preprocessing of cDNA microarray data.

164 sults of a study modeled on noise typical of cDNA microarray data.

165 We apply the method to a cDNA microarray dataset and many low fold-changed genes

166 Evaluation of transcriptional profiles using cDNA microarrays demonstrated that there were similariti

167 Analysis of normal livers by cDNA microarrays disclosed 2418 unique gene transcripts

168 lysis of expression data from two single-dye cDNA microarray experiments showed that ESTs whose seque

169 tifacts exist with different severity in all cDNA microarray experiments that we analyzed.

170 or analyzing the large datasets arising from cDNA microarray experiments.

171 cancer gene expression profiles assessed by cDNA microarray experiments.

172 pathways activated by NO* in these cells by cDNA microarray expression and immunoblotting.

173 hern and Northern analysis, and chromosome 8 cDNA microarray expression profiling.

174 ds and techniques emphasizing fabrication of cDNA microarrays, fluorescent labeling, cDNA hybridizati

175 We have developed a 2053 element cDNA microarray for B. glabrata containing clones from O

176 Production of the first cDNA microarray for profiling gene expression in B. glab

177 h throughput method-mouse complementary DNA (cDNA) microarrays-for analysis of gene expression.

178 lor, spotted microarrays was developed using cDNA microarrays from in vivo and in vitro dose-response

179 and measured expression of 40000 genes using cDNA microarrays from the fifty-nine publicly available

180 hydrates, lipids, hormones, various RNAs and cDNAs, microarrays) have been discovered and correlated

181 nscript abundance levels were quantitated by cDNA microarray hybridization and confirmed by quantitat

182 Technologic advances using cDNA microarray hybridization, liver diseases characteri

183 iverse set of stress agents were compared by cDNA microarray hybridization.

184 examined by gene expression profiling using cDNA microarray hybridizations, generated from a porcine

185 Using cDNA microarrays hybridized to cDNAs made from thiolated

186 our methods for gridding and segmentation to cDNA microarray images from an HIV infection experiment.

187 th a Salmonella enterica serovar Typhimurium cDNA microarray in order to identify genes important for

188 We used cDNA microarrays in a systematic study of the gene expre

189 ses in the stress-induced ORFs identified by cDNA microarray indicates that helicases might be playin

190 human gliomas of various histogenesis, using cDNA microarrays, inferential and descriptive statistics

191 We used cDNA microarrays interrogating 15,000 transcripts to ide

192 gs demonstrated that the zebra mussel byssus cDNA microarray is an efficient tool for the studies of

193 e evidence that cross-species application of cDNA microarrays is a useful strategy for investigating

194 salmon (Salmo salar), using a combination of cDNA microarray, lipid, and biochemical analysis.

195 Of the 9000 genes analyzed by cDNA microarray method at the G1/S transition point, 76

196 comparative genomic hybridization (n = 109), cDNA microarray (n = 76), and tissue array (n = 504).

197 We used a cDNA microarray of 420 annotated porcine expressed seque

198 Gene expression profiling by cDNA microarray of cells induced to express NFAT reveale

199 Gene expression was determined by cDNA microarray of independent GCL RNA samples.

200 In this study, we used cDNA microarrays of bladder tissue isolated from mice in

201 Screening cDNA microarrays of melanoma/CRC cell lines and tumor sp

202 Tissue and cDNA microarrays of PCa were analyzed for NO66 mRNA and

203 eal clock, and herein we employ high density cDNA microarrays of pineal gland transcripts to determin

204 Additionally, cDNA microarrays offered new evidence of the importance

205 Based on analyses of two-dimensional gel and cDNA microarrays, our laboratory and others have demonst

206 By comparing single-cell cDNA microarray profiles of control and mutant oocytes,

207 A sorghum cDNA microarray providing data on 12,982 unique gene clu

208 aluated in trabecular meshwork (TM) cells by cDNA microarray, q-PCR, fluorescence microscopy, and imm

209 Using cDNA microarray, quantitative RT-PCR, and immunohistoche

210 Using cDNA microarrays, real-time polymerase chain reaction am

211 A cDNA microarray representing approximately 22,000 unique

212 zation of CNAs in murine tumors, using mouse cDNA microarrays representing approximately 14,000 diffe

213 in a set of 18 colon cancer cell lines using cDNA microarrays representing approximately 21,000 diffe

214 zation on a set of 24 SCLC cell lines, using cDNA microarrays representing approximately 22,000 human

215 Quantitative PCR analysis verified the cDNA microarray results for representative transcripts.

216 cDNA microarray results showed that GD-induced UPR activ

217 s from these aggregates using a whole genome cDNA microarray revealed the induction of a putative exo

218 Gene expression analysis using custom cDNA microarrays revealed a remarkable overlap between t

219 Comparison with cDNA microarrays revealed enzymes whose activity, but no

220 Global transcriptional profiling using cDNA microarrays revealed that a significant number of g

221 Analysis of cDNA microarrays revealed that CREB silencing leads to i

222 nts based on expression technologies such as cDNA microarrays, RNA-Seq, and cell imaging-based assays

223 with various expression technologies such as cDNA microarrays, RNA-Seq, and cell imaging-based assays

224 ty and transparency of the mouse lens, using cDNA microarray, RT-PCR, immunoblot, pharmacological inh

225 Additionally, we performed a cDNA microarray screen on an inducible podocyte-specific

226 d Dickkopf-3, the top candidate genes from a cDNA microarray screen, are differentially expressed in

227 Hrpt2(+/+) and Hrpt2(-/-) MEFs were used in cDNA microarray, semiquantitative reverse transcription-

228 and resident ATMs using real-time RT-PCR and cDNA microarrays showed that recruited ATMs overexpress

229 Using a 13K chicken cDNA microarray, specifically enriched for chicken immun

230 Our data in comparison with previous cDNA microarray studies and our reverse transcription-po

231 In recent years, most cDNA microarray studies of chemotherapeutic drug resista

232 fying conditions, we conducted whole-genome, cDNA microarray studies to explore this topic systematic

233 out 10-20%, which was a common situation for cDNA microarray studies.

234 FtrABCD) system was previously identified in cDNA microarray studies.

235 ults of an initial cell cycle analysis and a cDNA microarray study showed effects consistent with inh

236 d cultured preadipocytes using an Affymetrix cDNA microarray technique and validated with quantitativ

237 utility of cross-species application of the cDNA microarray technique for investigating differential

238 ination of subtractive PCR hybridization and cDNA microarray technique.

239 Compared with cDNA microarray techniques, our assay can capture up to

240 Using whole-genome cDNA microarray technology (Illumina), we examined GE in

241 ting shear-mediated chondrocyte apoptosis by cDNA microarray technology and bioinformatics.

242 Using cDNA microarray technology in combination with an approa

243 ling are not completely understood; however, cDNA microarray technology may enable rapid and accurate

244 ression during the PPD response we have used cDNA microarray technology to carry out a large-scale an

245 these clinical manifestations, we first used cDNA microarray technology to measure METH-induced trans

246 We have identified, using cDNA microarray technology, that IL-18 expression is inc

247 m single oocytes and embryos for analysis by cDNA microarray technology, thus lending credence to add

248 Using human tumor and cDNA microarray technology, we have recently shown that

249 and gene expression was examined with using cDNA microarray technology.

250 r cells and fertilized control embryos using cDNA microarray technology.

251 ells (FLSPC) versus AL by complementary DNA (cDNA) microarray technology.

252 dized the RNA from each animal to individual cDNA microarrays that contained more than 100 target gen

253 ous source of error intrinsic to all spotted cDNA microarrays that use IMAGE clones of expressed sequ

254 CGH on mouse cDNA microarrays therefore represents a reliable method

255 SS effectors in disease formation, we used a cDNA microarray to analyze the expression of approximate

256 ysis of gene expression in AS using a custom cDNA microarray to compare expression patterns from lymp

257 Here we use a sunflower cDNA microarray to detect variation in gene expression b

258 m patients with melanoma was hybridized to a cDNA microarray to identify lesions with the transcript

259 We utilized a full genome cDNA microarray to identify the genes that comprise the

260 We report the use of a cDNA microarray to monitor global transcriptional respon

261 e used a new "three-genome" maize biogenesis cDNA microarray to track abundance changes in nuclear, c

262 sion signatures of disease progression using cDNA microarrays to analyze RNA from laser-captured micr

263 To test this hypothesis, we used cDNA microarrays to compare the changes in content of sp

264 regulating mutational processes, we used 8K cDNA microarrays to compare the patterns of gene express

265 ns in alphabeta T cells provoked us to apply cDNA microarrays to explore the potential pleiotropy of

266 array comparative genomic hybridization, and cDNA microarrays to gain insights into the structural an

267 ssion in the gastrointestinal tract, we used cDNA microarrays to identify 114 genes with altered leve

268 We have used rat cDNA microarrays to identify adipocyte-specific genes th

269 We used soybean (Glycine max) cDNA microarrays to identify candidate genes for a stabl

270 Here, we describe the use of cDNA microarrays to identify sex-enriched transcripts ex

271 We used cDNA microarrays to identify transcriptional fingerprint

272 We therefore used mouse cDNA microarrays to investigate gene expression triggere

273 We used cDNA microarrays to monitor responsiveness of gene expre

274 acute lymphoblastic leukemia (ALL), we used cDNA microarrays to obtain a genome-wide view of gene ex

275 A 2700 cDNA microarray was queried with RNA from TPA-treated P+

276 A pathway-specific cDNA microarray was used for gene expression profiling a

277 A cDNA microarray was used on whole retinas from one group

278 A 32,000 cDNA microarray was used to evaluate 78 human colon canc

279 tudy, genome-wide expression profiling using cDNA microarrays was conducted for resistant Hofer and s

280 By cDNA microarray, we have shown that gene transfer of hum

281 Using a cDNA microarray, we show that this phenotypic difference

282 Using cDNA microarrays, we also compared the transcriptional p

283 Using cDNA microarrays, we determined the transcriptional prof

284 Using histopathology and cDNA microarrays, we examined the consequences of expres

285 for E-cadherin and high density (27k) mouse cDNA microarrays, we identified 474 genes that are more

286 Using RNA amplification and cDNA microarrays, we identified 584 genes as differentia

287 Three of 15 genes up-regulated in the cDNA microarray were involved in the apoptosis signaling

288 o waveforms were applied to cultured EC, and cDNA microarrays were used to analyze the differential p

289 To accomplish this, membrane-based cDNA microarrays were used to monitor changes mRNA expre

290 Nylon membrane-based cDNA microarrays were used to profile gene expression pa

291 cDNA microarrays were utilized to understand the molecul

292 The cDNA microarray, Western blot, polymerase chain reaction

293 ated primary human skeletal myocytes using a cDNA microarray, which contains 501 mitochondria-related

294 We produced a spotted cDNA microarray with 20,160 addresses representing 17,21

295 By combining cDNA microarray with ChIP-chip analyses, Wnt inhibitory

296 about possible gene function, we hybridized cDNA microarray with probes derived from wild-type Arabi

297 cDNA microarrays with >11,000 cDNA clones from an NOD sp

298 rine gene expression were investigated using cDNA microarrays with complementary physiological and hi

299 We used a novel human X chromosome cDNA microarray (XCA) to survey the expression profile o

300 rstand the zebra mussel's byssus activity, a cDNA microarray (ZMB) including 716 genes, generated fro