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

1 R cell effector molecule through single-cell gene expression profiling.

2 ted gene sequencing, copy-number arrays, and gene expression profiling.

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

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

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

6 nto putative discrete prognostic subtypes by gene expression profiling.

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

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

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

10 ies and analyzed by immunohistochemistry and gene expression profiling.

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

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

13 individual colonies for further imaging and gene expression profiling.

14 hysiologically relevant measurements such as gene expression profiling.

15 and developing seeds by whole transcriptome gene expression profiling.

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

17 nd mouse brain striatal cells, and performed gene expression profiling.

18 uble CD40L (sCD40L) on T24 bladder carcinoma gene expression profiling.

19 TME as assessed by western blot analysis and gene expression profiling.

20 line PET/CT, followed by tumor resection and gene expression profiling.

21 ed via a precision aspirator for single-cell gene expression profiling.

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

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

24 oup 3 medulloblastoma based on histology and gene-expression profiling.

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

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

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

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

29 nctionally characterized by spatial-temporal gene expression profiling, allelic diversity and phyloge

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

31 Gene expression profiling allowed the classification of

32 Gene expression profiling also demonstrated LPS-induced

33 performed chromatin immunoprecipitation and gene expression profiling analyses to identify genes reg

34 Gene expression profiling analysis demonstrates increase

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

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

37 Further gene expression profiling analysis revealed that p62 was

38 The gene expression profiling analysis showed that PRLT2/89-

39 Unsupervised gene expression profiling analysis, including principal

40 myocyte cell-cycle arrest, we have performed gene expression profiling and ablation of postnatal CF p

41 Here, using single-cell gene expression profiling and anatomical circuit analyse

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

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

47 Gene expression profiling and DNA methylation analysis i

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

49 Gene expression profiling and flow cytometry were used t

50 Analysis of leprosy skin lesions by gene expression profiling and immunohistology revealed t

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

52 Surface phenotyping, gene expression profiling and parallel analysis of blood

53 Gene expression profiling and pathway analysis reveals s

54 Gene expression profiling and single cell proteomics con

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

56 We used gene-expression profiling and multispectral imaging to a

57 iagnostic material from initial biopsies for gene-expression profiling and pathology review; were age

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

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

60 Surface marker characterization, gene expression profiling, and ex vivo phagocytosis assa

61 (PDX) and subjected them to DNA sequencing, gene expression profiling, and high-throughput drug scre

62 Immunohistochemical staining, gene expression profiling, and Ingenuity Pathway Analysi

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

64 linary epidemiological, cell biological, and gene expression profiling approaches, we report here mul

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

66 Purpose Gene expression profiling assays are frequently used to

67 aintain it unchanged during their life span, gene expression profiling at the time of an acute myocar

68 Several studies in gene expression profiling attempted to identify subentit

69 nfarction are likely to be found by platelet gene expression profiling before the infarction occurs.

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

71 Furthermore, gene expression profiling by next-generation sequencing

72 Gene expression profiling by RNA sequencing had a subopt

73 Gene expression profiling by RNA-Seq and qRT-PCR reveale

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 In the current study, we performed gene expression profiling combined with extensive molecu

79 Gene expression profiling confirmed poor tadpole CD8(+)

80 We used gene expression profiling, cytokine/chemokine quantifica

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

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

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

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

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

86 Analysis of MM patient gene expression profiling database showed that ENO1 expr

87 Gene expression profiling demonstrated that Tgfbr1(iko)

88 Microarray gene expression profiling demonstrated that the suppress

89 Metabolomic and gene expression profiling established STAT1 deletion in

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

91 Gene expression profiling experiments have shown inducti

92 highly cost-effective method to enable large gene expression profiling experiments unconstrained by s

93 Gene expression profiling experiments with few replicate

94 Microarray-based gene expression profiling failed to identify mRNA transc

95 ilizing RNA sequencing (RNA-Seq) techniques, gene expression profiling followed by pathway enrichment

96 Gene expression profiling following MALT1 inhibition dem

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

98 traction force generation and also performed gene expression profiling for two endothelial cell types

99 Gene expression profiling from blood samples not related

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

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

102 By integrating gene expression profiling, genetics and comprehensive ph

103 MLPA), single nucleotide polymorphism (SNP), gene expression profiling (GEP) class, and exon sequenci

104 ), and tumor thickness on prognostication by gene expression profiling (GEP) class.

105 Using gene-expression profiling (GEP), we have previously defi

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

107 Gene expression profiling has identified 2 major subclas

108 Gene expression profiling has identified messenger RNAs

109 Gene-expression profiling has become a mainstay in immun

110 As two-arm studies with gene expression profiling have been rarer than similar o

111 hermore, molecular studies, including global gene expression profiling, have provided evidence that P

112 Information-rich assays, such as gene-expression profiling, have generally not permitted

113 myeloma was defined by one of the following: gene expression profiling high risk (GEP(hi)), t(14;16),

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

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

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

117 Gene expression profiling identified genes with high exp

118 Gene expression profiling identified key molecular diffe

119 Global gene expression profiling identified the transcription f

120 Gene-expression profiling identified the endocytic adapt

121 We performed gene expression profiling in 265 left atrial samples fro

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

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

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

125 Gene expression profiling in estrogen receptor (ER)-posi

126 Gene expression profiling in injection-site tissues from

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

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

129 Both gene expression profiling in postmortem human brain and

130 Hypothalamic gene expression profiling in postnatal day 15 F2 descend

131 ting muscle loss, we conducted a large-scale gene expression profiling in quadriceps muscle of arctic

132 Gene expression profiling in whole islets treated with 5

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

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

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

136 As advances in single-cell gene expression profiling increase the accuracy and the

137 Moreover, gene expression profiling indicated a broad negative imp

138 Gene expression profiling indicated substantial down-reg

139 Surface phenotype and NanoString gene expression profiling indicated the closest steady-s

140 Gene expression profiling indicates that mouse tumors re

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

142 Gene-expression profiling indicates that Trp53DeltaIECAk

143 Gene expression profiling integrated with ChIP-seq and A

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

145 A low-cost imaging platform for gene expression profiling is also described.

146 Gene expression profiling is being widely applied in can

147 Gene expression profiling is emerging as a tool for tube

148 egulation in DHITsig+ DLBCL, suggesting that gene expression profiling is more sensitive for identify

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

150 Minority Gene Expression Profiling (MGEP) refers to a scenario wh

151 Our data combined the analysis of gene expression profiling microarrays and gene methylati

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

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

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

155 Gene expression profiling of 165 pairs of human cancer c

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

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

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

159 Gene expression profiling of 534 single ICM cells identi

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

161 Gene expression profiling of 84 oxidative stress and 249

162 Gene expression profiling of adipose tissues of HFD-fed

163 Using gene expression profiling of all annotated and predicted

164 ng related lung injury we performed unbiased gene expression profiling of alveolar macrophages (AM) o

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

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

167 Cell type-specific gene expression profiling of cortical pyramidal neurons

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

169 Gene expression profiling of ECs lacking ERRalpha reveal

170 Gene expression profiling of engrafted murine leukemia i

171 High-throughput genetic screening and gene expression profiling of fcp1 mutants revealed a nov

172 Gene expression profiling of flow-sorted monocytes, macr

173 We performed large-scale gene expression profiling of glomerulus-associated G pro

174 Gene expression profiling of HepaRG-SP and HepaRG-Sphere

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

176 Gene expression profiling of HSPCs from the MSI2 MDS mic

177 Global gene expression profiling of human and mouse islets over

178 We hypothesized that gene expression profiling of human melanomas using a new

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

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

181 Microarray gene expression profiling of IVIg-generated pTreg reveal

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

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

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

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

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

187 Gene expression profiling of murine HCC cell lines ident

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

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

190 Global gene expression profiling of post-ischemic kidneys showe

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

192 We performed gene expression profiling of primary human fibroblasts u

193 Gene expression profiling of prostate cancer cells, thei

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

195 h-throughput platform for linked optical and gene expression profiling of single cells.

196 entral polarized signaling in the aorta with gene expression profiling of sorted cell populations and

197 Gene expression profiling of SPG11-NPCs revealed widespr

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

199 Gene expression profiling of SYNCRIP-depleted cells demo

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

201 Here, gene expression profiling of the bone marrow along disea

202 Gene expression profiling of the isolated cell protrusio

203 Global gene expression profiling of the lungs of infected dogs

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

205 Gene expression profiling of TNBC has identified molecul

206 Gene expression profiling of tumours is an important sou

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

208 Using whole genome gene-expression profiling of individuals initiating a sm

209 response to tobacco smoke can be measured by gene-expression profiling of the airway epithelium.

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

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

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

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

214 Gene expression profiling on the cerebral vessels isolat

215 pular boutique array nor the custom designed gene expression profiling platform.

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

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

218 Gene expression profiling results identified p53 pathway

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

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

221 Gene expression profiling revealed a subset of Forkhead

222 Gene expression profiling revealed an elevation of Ttr e

223 Subsequent gene expression profiling revealed an increase in downst

224 Gene expression profiling revealed comparable levels of

225 Gene expression profiling revealed ectopic expression of

226 Gene expression profiling revealed enrichment in biologi

227 Gene expression profiling revealed genes differentially

228 Gene expression profiling revealed highly distinct profi

229 Gene expression profiling revealed induction of genes as

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

231 Gene expression profiling revealed primary and metastati

232 Results Gene expression profiling revealed that 24% of patients

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

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

235 Gene expression profiling revealed that cuticle composit

236 Gene expression profiling revealed that epithelial-mesen

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

238 Gene expression profiling revealed that hypoxia-induced

239 Global gene expression profiling revealed that more than 200 ge

240 Global gene expression profiling revealed that the expression o

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

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

243 Gene expression profiling reveals dynamic stage-specific

244 Gene expression profiling reveals molecular similarities

245 Quantitative gene expression profiling reveals that the endothelial G

246 Gene expression profiling reveals transcriptional expres

247 Gene expression profiling reveals VGLL1 as a member of a

248 Gene expression profiling showed a similar differentiati

249 In these cases, gene expression profiling showed diminished expression o

250 Genome-wide cytosine methylation and gene expression profiling showed that by silencing embry

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

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

253 Notably, gene expression profiling showed that patients with high

254 Gene expression profiling showed upregulation of genes t

255 Tag-Seq Gene Expression Profiling shows that deficient SMS expre

256 Gene-expression profiling shows a decrease in transcript

257 Brain gene expression profiling studies of suicide and depress

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

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

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

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

262 Gene expression profiling suggested that NEK6 overexpres

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

264 Tumor gene expression profiling-targeted next-generation seque

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

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

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

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

269 tive tumors undergoing prognostic biopsy for gene expression profiling to assess the relationship bet

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

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

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

273 strated an in vitro screening approach using gene expression profiling to predict carcinogenicity and

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

275 response to stress and use circuit-specific gene expression profiling to uncover novel downstream ta

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

277 of next-generation sequencing technologies, gene expression profiling using RNA-seq has increased th

278 During this time, we did gene-expression profiling using whole genome cDNA-mediat

279 Gene expression profiling was conducted using whole-geno

280 Genome-wide gene expression profiling was performed and SRS endotype

281 Comparative gene expression profiling was performed between 2 murine

282 Gene expression profiling was performed in hMSCs differe

283 Gene expression profiling was performed on DCIS cells to

284 Gene expression profiling was performed using public RNA

285 Using gene expression profiling we demonstrated that the TGFbe

286 anoma samples, normal melanocytes and global gene expression profiling we have investigated the role

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

288 Using gene expression profiling, we identified genes regulated

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

290 Using activity-dependent labeling and gene expression profiling, we identified pIII neurons th

291 Using murine lineage-tracing models and gene expression profiling, we reveal that myeloid cells

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

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

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

295 re performed, and histochemical analysis and gene expression profiling were performed on fat and musc

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

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

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

299 ion and highlight the potential of combining gene expression profiling with clinical data to predict

300 n tumor tissue microarray (TMA) cores and by gene expression profiling with EdgeSeq Immuno-Oncology A