ライフサイエンスコーパス: gene expression profiling

1 out CI using genome-wide DNA methylation and gene expression profiling.

2 ies and analyzed by immunohistochemistry and gene expression profiling.

3 gocytes were subjected to RNA extraction and gene expression profiling.

4 d, thereby potentially reducing the costs of gene expression profiling.

5 individual colonies for further imaging and gene expression profiling.

6 hysiologically relevant measurements such as gene expression profiling.

7 and developing seeds by whole transcriptome gene expression profiling.

8 quantitative flow cytometry and single-cell gene expression profiling.

9 by using mass spectrometry metabolomics and gene expression profiling.

10 the potential underlying mechanisms through gene expression profiling.

11 t molecular subtypes of osteosarcoma through gene expression profiling.

12 mechanisms underlying these observations by gene expression profiling.

13 e, and stage could be improved by intragraft gene expression profiling.

14 ith recurrence likelihood as determined with gene expression profiling.

15 ) subtype was determined by Lymph2Cx digital gene expression profiling.

16 cing, targeted candidate gene sequencing and gene expression profiling.

17 veloped additional tools for highly specific gene expression profiling.

18 , an aggressive lymphoma subgroup defined by gene expression profiling.

19 performed an in vivo pooled shRNA screen and gene expression profiling.

20 ession in UCB were available from genomewide gene expression profiling.

21 nto putative discrete prognostic subtypes by gene expression profiling.

22 and has profound influences on whole-genome gene expression profiling.

23 ional significance of gene variants by using gene expression profiling.

24 rescue, CRISPR activation or inhibition and gene-expression profiling.

25 VEPH1 expression in ovarian cancer cells by gene-expression profiling.

26 with homogeneous diagnoses were selected for gene expression profiling: 28 from patients with nondysp

27 dmissions) and by applying genome-wide blood gene expression profiling (582 admissions).

28 s for spatially resolved, transcriptome-wide gene expression profiling across complex tissues are lac

29 e combined chromatin immunoprecipitation and gene expression profiling after FOXP1 depletion with fun

30 Gene expression profiling after IRF4 knockdown demonstra

31 ned genome-wide DNA methylation analyses and gene expression profiling after pharmacological DNA deme

32 t microglia ontogeny combined with extensive gene expression profiling allow us to better capture the

33 Gene expression profiling allowed the classification of

34 Gene expression profiling, also known as transcriptomics

35 Gene expression profiling analysis demonstrates increase

36 We performed gene expression profiling analysis of 542 human acute my

37 th and prevented tumor dissemination in vivo Gene expression profiling analysis of miR-22-expressing

38 Furthermore, gene expression profiling analysis of miRNA overexpressi

39 Further gene expression profiling analysis revealed that p62 was

40 Unsupervised gene expression profiling analysis, including principal

41 he survival differences, as suggested by the gene expression profiling analysis.

42 By combining gene expression profiling and chromatin immunoprecipitat

43 Gene expression profiling and chromatin immunoprecipitat

44 Using a combination of gene expression profiling and chromatin immunoprecipitat

45 Gene expression profiling and chromatin immunoprecipitat

46 On the basis of global gene expression profiling and chromatin immunoprecipitat

47 ects of disease on CD34 development, we used gene expression profiling and computational modeling to

48 eloped a risk scoring system based on NFE2L2 gene expression profiling and designated 50 tumor-associ

49 ls were subjected to single cell RNA-seq for gene expression profiling and expressed mutation profili

50 We further show by gene expression profiling and flow cytometry that, simil

51 Serological analyses, gene expression profiling and liver histology studies we

52 S) integrated with QTL mapping, differential gene expression profiling and molecular haplotyping was

53 t microglia ontogeny combined with extensive gene expression profiling and novel tools to study micro

54 Gene expression profiling and pathway analysis identifie

55 Gene expression profiling and pathway analysis reveals s

56 Through the parallel use of micro-array gene expression profiling and the Dam-ID method, we sear

57 Gene expression profiling and validation identified puta

58 We used temporal gene expression profiling and validation through classic

59 nerative medicine, drug sensitivity testing, gene expression profiling and xenograft studies.

60 Gene-expression profiling and phenotypic studies suggest

61 1) with a combination of global and targeted gene-expression profiling and the expression of key plur

62 wide DNA-promoter methylation profiling with gene expression profiling, and clinical and biological v

63 f genome-wide chromatin immunoprecipitation, gene expression profiling, and microfluidics-based DNA b

64 cted and analyzed by histologic examination, gene expression profiling, and real-time polymerase chai

65 olecule that protects articular cartilage by gene expression profiling, and the anticatabolic effects

66 By using a genome-wide gene expression profiling approach, we identified RAB20

67 Gene expression profiling approaches have successfully b

68 We applied gene-expression profiling approaches to compare steady-s

69 quencing technologies and transcriptome-wide gene expression profiling are now revealing the genes en

70 successful application of a high-throughput gene-expression profiling assay directly targeting genes

71 Purpose Gene expression profiling assays are frequently used to

72 Several studies in gene expression profiling attempted to identify subentit

73 We performed inter-species comparative gene expression profiling between AD patient brains and

74 Single cell gene expression profiling can be used to quantify transc

75 Gene expression profiling can be used to uncover the mec

76 Genome-wide gene expression profiling characterized the transcriptio

77 Using a combination of gene expression profiling, chromatin immunoprecipitation

78 Gene expression profiling confirms that slan-negative in

79 Using gene expression profiling coupled with bioinformatic ana

80 In this study, we performed gene expression profiling (DASL and RNA-seq) of formalin

81 ncer outlier profile analysis algorithm to a gene expression profiling data set including 249 cases o

82 d macrophages in the brainstem; in addition, gene expression profiling data showed that LTB4 producti

83 infiltration of T cells and macrophages plus gene expression profiling data showing that LTB4 product

84 The first is gene expression profiling data usually do not contain ti

85 the subset of 627 patients with plasma cell gene expression profiling data, cure plateaus were appar

86 ficant unmet need because many patients with gene expression profiling-defined good-risk disease even

87 Gene expression profiling demonstrated expression of tra

88 mosomes 3, 6, and 8 or those with class 2 on gene-expression profiling, detected by needle biopsy or

89 Moreover, global gene expression profiling did not distinguish large diff

90 spatiotemporal databases including data from gene expression profiling experiments (microarrays, RNA-

91 Gene expression profiling followed by confirmatory quant

92 Gene expression profiling following MALT1 inhibition dem

93 as part of the Immunological Genome Project, gene expression profiling for CD4(+) T cells and neutrop

94 e two platforms marketed for high-throughput gene expression profiling for FFPE samples.

95 his study represents the first use of global gene expression profiling from healthy human brain to de

96 thermore, integrative analyses (microRNA and gene expression profiling from the same biopsy sample) i

97 A previous trial suggested that the gene expression profiling (GEP) blood test was noninferi

98 Gene expression profiling (GEP) via microarray analysis

99 Gene expression profiling has been extensively used in t

100 Gene expression profiling has been used extensively to c

101 Large-scale gene expression profiling has been widely used to charac

102 Gene expression profiling has identified 2 major subclas

103 Gene expression profiling has identified messenger RNAs

104 More recently, gene expression profiling has provided a highly accurate

105 Gene expression profiling has reshaped our understanding

106 ific functions for certain nucleoporins, and gene expression profiling has revealed that nucleoporin

107 Additionally, microRNA and gene expression profiling has revealed unique transcript

108 Gene-expression profiling has become a mainstay in immun

109 Advances in genetics and gene expression profiling have enhanced our current unde

110 l Therapy protocols investigating them using gene expression profiling, high-resolution copy number a

111 Within the TAL/LMO subtype, gene expression profiling identified 148 differentially

112 Genome-wide gene expression profiling identified a network of VEGF-r

113 Chromatin immunoprecipitation sequencing and gene expression profiling identified candidate ATOH1 tar

114 Epidermal and dermal gene expression profiling identified keratinocyte-derive

115 Gene expression profiling identified key molecular diffe

116 Global gene expression profiling identified the transcription f

117 Gene-expression profiling identified the endocytic adapt

118 Global gene expression profiling identifies clear features in T

119 Using gene expression profiling in a series of 82 patient samp

120 Repeating the chromatin and gene expression profiling in another mouse strain, DBA/2

121 Gene expression profiling in Apc-mutant and Ctnnb1-mutan

122 loid suppressive signature was identified by gene expression profiling in DLBCL peripheral blood.

123 Gene expression profiling in injection-site tissues from

124 We performed genome-wide gene expression profiling in peripheral blood leukocytes

125 A major goal of global gene expression profiling in plant seeds has been to inv

126 Both gene expression profiling in postmortem human brain and

127 reported independently, but a comprehensive gene expression profiling in relation to FA composition

128 Gene expression profiling in whole islets treated with 5

129 On protease gene expression profiling in whole lung tissue, cathepsi

130 Using robust gene expression-profiling in conjunction with in-depth p

131 with CAP) and by applying genome-wide blood gene expression profiling (in 111 patients with HAP and

132 Gene expression profiling indicated substantial down-reg

133 Gene expression profiling indicates that mouse tumors re

134 Our global gene expression profiling indicates that the non-SMAD JA

135 We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-b

136 In addition, gene expression profiling is allowing for a better under

137 Gene expression profiling is being widely applied in can

138 In gene-expression profiling, lower CXXC5 expression was as

139 immunology, cytogenetics, molecular biology, gene expression profiling, mass spectrometry-based prote

140 ed using quantitative histology (n = 61) and gene expression profiling (n = 48).

141 vances in high-throughput technologies, like gene expression profiling, next-generation sequencing, p

142 Proteomics data were integrated with gene expression profiling of 121 carotid endarterectomie

143 s study, we used whole-genome sequencing and gene expression profiling of 215 human induced pluripote

144 Mass spectrometry-based gene expression profiling of 3-, 4- and 5-phosphatases i

145 By performing gene expression profiling of 4,383 lncRNAs in 82 liver s

146 Gene expression profiling of 534 single ICM cells identi

147 The frequency of Ph-like ALL was assessed by gene expression profiling of 798 patients with B-cell AL

148 In the gastric tissue, gene expression profiling of 84 energy metabolism associ

149 Gene expression profiling of 84 oxidative stress and 249

150 Using gene expression profiling of all annotated and predicted

151 Comparative gene expression profiling of back and tail dermis at P1

152 Genome-wide gene expression profiling of BM-MSCs revealed that cocul

153 Gene expression profiling of C. japonicus demonstrated t

154 Immunophenotyping and gene expression profiling of cardiac macrophages from re

155 Global gene expression profiling of Ccn6(fl/fl) mammary carcino

156 sive systems biology approach, starting with gene expression profiling of dorsal root ganglia (DRGs)

157 Global gene expression profiling of EML1 cells at different sta

158 Gene expression profiling of flow-sorted monocytes, macr

159 terized DOCK family of RhoGEFs, we performed gene expression profiling of fluorescence-activated cell

160 icenter, international, observational study, gene expression profiling of formalin-fixed biopsy speci

161 Mechanistic analyses via gene expression profiling of hiPSC-CMs infected with CVB

162 Global gene expression profiling of HPAIV-infected endothelial

163 of nephrotoxicity, we conducted multiplexed gene expression profiling of HPTECs after exposure to si

164 Gene expression profiling of HSPCs from the MSI2 MDS mic

165 Furthermore, by gene expression profiling of human lesions we found grea

166 Here, we conducted gene expression profiling of human neuroepithelial stem

167 ymocytes much earlier than expected based on gene expression profiling of human thymocyte subsets and

168 Microarray gene expression profiling of IVIg-generated pTreg reveal

169 rategy to address this problem that combines gene expression profiling of large numbers of single cel

170 Here, we performed gene expression profiling of laser capture microdissecte

171 unbiased "in situ transcriptomics" analysis-gene expression profiling of laser-captured TAMs to esta

172 erapy at MD Anderson Cancer Center underwent gene expression profiling of leukemic cells.

173 Genome-wide gene expression profiling of mammalian cells is becoming

174 Gene expression profiling of murine HCC cell lines ident

175 ChIP-Seq and gene expression profiling of murine skin revealed that w

176 By comparative gene expression profiling of p53-mutated and p53-deplete

177 positive translational role for IFN-beta, as gene expression profiling of patient-derived TNBC tumors

178 ulin levels, immune cell subpopulations, and gene expression profiling of peripheral lymphocytes.

179 Gene expression profiling of PGC-1alphabeta(-/-) hearts

180 Global gene expression profiling of post-ischemic kidneys showe

181 whole transcriptome sequencing, we compared gene expression profiling of pre- and post-treatment bon

182 Gene expression profiling of prostate cancer cells, thei

183 f genome composition, genetic diversity, and gene expression profiling of seven B. microti isolates r

184 Gene expression profiling of SFB-treated cells was consi

185 cation of high-throughput qPCR workflows for gene expression profiling of single cells.

186 Gene expression profiling of SPG11-NPCs revealed widespr

187 Fluorescent staining and gene expression profiling of spheroids confirmed these f

188 Comparative gene expression profiling of stem cell antigen 1(-) (Sca

189 Gene expression profiling of SYNCRIP-depleted cells demo

190 In addition, gene expression profiling of TEM transitioned to a weak

191 Gene expression profiling of the tumors identified activ

192 Gene expression profiling of these Msi2-deficient animal

193 esis, as revealed by a large body of work on gene expression profiling of tissues from human HD patie

194 Gene expression profiling of TNBC has identified molecul

195 Gene expression profiling of tumor-responsive NK cells i

196 cal analysis, RNA sequencing and single-cell gene expression profiling of whole kidney marrow cells o

197 Unbiased gene-expression profiling of cells overexpressing EGFR b

198 Materials and Methods We performed digital gene expression profiling on a cohort of 245 formalin-fi

199 We performed microarray gene expression profiling on a large sample of resected

200 Gene expression profiling on embryonic day 15 suggested

201 shed medulloblastoma subgroup affiliation by gene expression profiling on frozen or formalin-fixed pa

202 Here we have used gene expression profiling on purified murine oligodendro

203 Gene expression profiling ordinal score (range, 0-39), t

204 Gene expression profiling ordinal score (range, 0-39), t

205 Gene expression profiling, phenotypic characterization,

206 the development of an inexpensive and direct gene expression-profiling platform.

207 Technologies such as genome sequencing, gene expression profiling, proteomic and metabolomic ana

208 In this study, we show that microarray gene expression profiling revealed a highly dynamic land

209 However, gene expression profiling revealed a number of other red

210 ro and drove experimental metastasis in vivo Gene expression profiling revealed a strong association

211 Gene expression profiling revealed a subset of Forkhead

212 Gene expression profiling revealed an elevation of Ttr e

213 Subsequent gene expression profiling revealed an increase in downst

214 Gene expression profiling revealed common Suz12 and Jari

215 Gene expression profiling revealed comparable levels of

216 Gene expression profiling revealed ectopic expression of

217 Gene expression profiling revealed enrichment in biologi

218 Gene expression profiling revealed genes differentially

219 Gene expression profiling revealed highly distinct profi

220 Gene expression profiling revealed induction of genes as

221 east cancer cells in combination with global gene expression profiling revealed p53 (TP53) signaling

222 Gene expression profiling revealed perturbed metabolic r

223 Gene expression profiling revealed primary and metastati

224 Gene expression profiling revealed strong tissue-specifi

225 Results Gene expression profiling revealed that 24% of patients

226 Our in-depth gene expression profiling revealed that 84% of genes are

227 Gene expression profiling revealed that a majority of ge

228 Molecular stratification based on gene expression profiling revealed that breast cancers c

229 c and acetylation-defective K217 mutants and gene expression profiling revealed that FXR acetylation

230 Gene expression profiling revealed that hypoxia-induced

231 Furthermore, gene expression profiling revealed that LPS-primed effec

232 Global gene expression profiling revealed that more than 200 ge

233 Comparative gene expression profiling revealed that neonatal and adu

234 Gene expression profiling revealed that REST not only ac

235 Global gene expression profiling revealed that the expression o

236 as maintained in diet-induced obesity (DIO), gene expression profiling revealed tissue-specific alter

237 Gene-expression profiling revealed that the cell divisio

238 atin immunoprecipitation (ChIP) analysis and gene-expression profiling revealed the broad transcripti

239 we uncover some novel activities of NOD2 by gene expression profiling revealing the global nature of

240 Gene expression profiling reveals dynamic stage-specific

241 Gene expression profiling reveals molecular similarities

242 Further analysis by gene expression profiling reveals that low-NANOG cells h

243 Gene expression profiling score variability was defined

244 In the multivariate analyses, gene expression profiling score variability, but not ord

245 Gene expression profiling showed no separation between B

246 Microarray gene expression profiling showed that COH29 reduces the

247 Gene expression profiling showed that E2-2 silence down-

248 Western blot analysis and gene expression profiling showed that ECs treated with M

249 Genome-wide gene expression profiling showed that half of the transc

250 elanoma with therapeutic modalities based on gene expression profiling showed that malignant melanoma

251 Gene expression profiling showed that miR-155(-/-) BMMCs

252 The differential gene expression profiling strongly suggests that the res

253 Although recent gene expression profiling studies have enabled the ident

254 Brain gene expression profiling studies of suicide and depress

255 Expression analyses and unbiased gene expression profiling studies offer a molecular expl

256 ulated when p16 is inactivated by looking at gene expression profiling studies.

257 important step in extracting knowledge from gene expression profiling studies.

258 Histological analysis and gene expression profiling suggest that E2f3 does not imp

259 Gene expression profiling suggested that NEK6 overexpres

260 Moreover, gene expression profiling suggests that a subset of gene

261 Tumor gene expression profiling-targeted next-generation seque

262 With the recent advances in single-cell gene expression profiling technologies, it is now possib

263 ation of neural cell types using single-cell gene expression profiling technologies.

264 s and affect the results of highly sensitive gene expression profiling technologies.

265 Gene expression profiling test scores have primarily bee

266 The variability of a heart recipient's gene expression profiling test scores over time may prov

267 We hypothesized that the variability of gene expression profiling test scores within a patient m

268 sting that is rendered from a single ordinal gene-expression profiling test score.

269 sting that is rendered from a single ordinal gene-expression profiling test score.This is an open-acc

270 the IMAGE study with rejection surveillance gene expression profiling tests performed at 1- to 6-mon

271 tral microscopy, quantitative pathology, and gene expression profiling to analyze TLS formation in hu

272 We performed miRNA and gene expression profiling to characterize the molecular

273 We used global gene expression profiling to evaluate changes in transcr

274 -2) expression as a marker gene and by using gene expression profiling to identify genes regulated by

275 bined with chromatin immunoprecipitation and gene expression profiling to identify MYC-dependent regu

276 denomas, carcinomas and metastases, and used gene expression profiling to identify pathways that were

277 like cells in the adult midgut and performed gene expression profiling to identify potential ISC regu

278 high-throughput live two-photon imaging and gene expression profiling to study early differentiation

279 Here we use gene-expression profiling to show that arterial macropha

280 Gene expression profiling using RNA-seq is a powerful te

281 t P values were <0.001, 0.46, and 0.773, for gene expression profiling variability, ordinal, and thre

282 Gene expression profiling was conducted using whole-geno

283 Gene expression profiling was performed in hMSCs differe

284 Gene expression profiling was performed on DCIS cells to

285 Gene expression profiling was performed using public RNA

286 Consequent gene expression profiling was studied by using a whole-g

287 Gene expression profiling was used to identify genomic c

288 Using gene expression profiling we demonstrated that the TGFbe

289 aptor, ARRB1, both in vitro and in vivo with gene expression profiling, we demonstrate that nuclear A

290 precipitation/next generation sequencing and gene expression profiling, we identified 1545 protein-co

291 Using gene expression profiling, we identified genes regulated

292 using a combination of RNA interference and gene expression profiling, we identified Jun target gene

293 By integrating phenotypic analysis and gene expression profiling, we provide a genome-wide view

294 Using global gene expression profiling, we show that KDM3A positively

295 Using microarray-based gene expression profiling, we show that Ly6C(hi) iMOs is

296 Using genome-wide gene expression profiling, we showed that in Foxi3 cKO t

297 ng and promoter analyses of microarray-based gene expression profiling were combined with mechanistic

298 DCs support T-ALL growth, we first performed gene expression profiling, which revealed up-regulation

299 s excellent for obtaining tumor aspirate for gene expression profiling while controlling for hemostas

300 In this report we combine unbiased gene expression profiling with a genome-wide chemogenomi