ライフサイエンスコーパス: gene expression profile

1 is derived from liver cells bearing a unique gene expression profile.

2 post-transduction while still retaining a CM gene expression profile.

3 or in describing the experimentally observed gene-expression profile.

4 significantly alter cellular phenotypes and gene expression profiles.

5 and ATP2B1 displayed anthracycline-dependent gene expression profiles.

6 l fescue reference transcriptome and compare gene expression profiles.

7 ast and ovarian tumor samples based on their gene expression profiles.

8 for genome-wide DNA methylation patterns and gene expression profiles.

9 stones, resulting in dramatic alterations in gene expression profiles.

10 diverse in their physiology, structure, and gene expression profiles.

11 ne expression profiles, but not in metabolic gene expression profiles.

12 which in turn are matched with corresponding gene expression profiles.

13 analyzed in combination with matched RNA-seq gene expression profiles.

14 behavior of gene-sets across a collection of gene expression profiles.

15 intracellular signals through to changes in gene expression profiles.

16 cell gene expression profiles, and allograft gene expression profiles.

17 g RNAs targeting inhibitory SMADs to analyze gene expression profiles.

18 igate their role in defining prostate cancer gene expression profiles.

19 g their resistance- and virulence-associated gene expression profiles.

20 ts, together with a new dataset of 265 ccRCC gene expression profiles.

21 diagnostics and to follow up alterations in gene expression profiles.

22 ific MR imaging phenotypes to be linked with gene expression profiles.

23 nto putative discrete prognostic subtypes by gene expression profiling.

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

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

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

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

28 ying, and polarizing evolutionary changes in gene expression profiles across the transcriptome and wi

29 We identified 4 host gene expression profiles, among which catabolic remodeli

30 By using gene expression profile analysis and functional clusteri

31 We performed gene expression profile analysis by RNA sequencing of su

32 Gene expression profiling analysis demonstrates increase

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

34 Further gene expression profiling analysis revealed that p62 was

35 Unsupervised gene expression profiling analysis, including principal

36 Tumor type was classified by gene expression profile and American Joint Committee on

37 t reported that caused a muted innate immune gene expression profile and decreased immune cell infilt

38 e iPSC-derived microglia have the phenotype, gene expression profile and functional properties of bra

39 oal of the present study was to identify the gene expression profile and the cellular pathways altere

40 anscription factors which control the global gene expression profiles and consequently the cell funct

41 al survival, growth, microbiota composition, gene expression profiles and disease resistance were ass

42 hing control individuals, and compared their gene expression profiles and functional properties in vi

43 publicly available leukemic stem cell (LSC) gene expression profiles and gene expression data genera

44 ential characteristics determined, and their gene expression profiles and markers of differentiation

45 notypic females profoundly influenced aortic gene expression profiles and promoted AAA severity.

46 PANDA uses gene expression profiles and published relationships amo

47 nce of adverse pathological features, unique gene expression profiles and worse survival, which may r

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

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

50 ed xenograft tumours were reflected in their gene-expression profiles and epigenomes.

51 Gene-expression profiles and mutant analyses suggest tha

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

53 ophagy-activating DLCs on the proliferation, gene expression profile, and iodide uptake capacity of A

54 ne and protein assays, peripheral blood cell gene expression profiles, and allograft gene expression

55 mutants accumulate BES1, have altered global gene expression profiles, and have compromised stress re

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

57 Corticostriatal gene expression profiles are predominately associated wi

58 and that these epigenetic modifications and gene expression profiles are reversible after skeletal m

59 e have explored the hypothesis that specific gene expression profiles arise since promoters differ in

60 GRAPE is the ability to represent individual gene expression profiles as a vector of pathways scores.

61 Gene expression profiles as high-dimensional molecular r

62 Comprehensive analyses of gene expression profiles as well as functional annotatio

63 The late activation of GR had a similar gene-expression profile as from GR pre-activation, while

64 development, we characterised the glomerular gene expression profile at an early stage of disease pro

65 Correlation analysis of gene expression profiles at the tipping point indicates

66 Several studies in gene expression profiling attempted to identify subentit

67 oroid ECs to this process by comparing their gene expression profile before (P5) and after (P30) the

68 heterogeneity can confound the comparison of gene expression profiles between iPSC-derived cell lines

69 en Brain Atlas to investigate variability in gene expression profiles between subcortical regions of

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

71 Comparing the gene-expression profiles between biological conditions i

72 nimal models are overrepresented in synaptic gene expression profiles, but not in metabolic gene expr

73 raumatic injuries evoke surprisingly similar gene expression profiles, but there is limited informati

74 Combining the mutation status with the gene expression profiles can efficiently identify the ca

75 tion of gene regulatory networks (GRNs) from gene expression profiles can help to decipher TF-gene re

76 Gene expression profiling can be used to uncover the mec

77 l line is sufficient to induce metabolic and gene expression profiles characteristic of colorectal ca

78 Genome-wide gene expression profiling characterized the transcriptio

79 efficiency of up to 70% in 28 d and a global gene-expression profile comparable to primary human OL.

80 shown that human astrocytes have a distinct gene expression profile compare with rodent astrocytes.

81 se children displayed a distinctive monocyte gene expression profile compared to lean controls.

82 tensive experiments using publicly available gene expression profile data sets show that the performa

83 n successfully used to classify tumors using gene expression profile data.

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

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

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

87 Hierarchical clustering based on gene expression profiles delineated brain regions into s

88 cancer for gamma-H2AX foci decay ratios and gene expression profiles derived from ex vivo-irradiated

89 significant overlapping with alterations in gene expression profile detected in host cells after C.

90 h PE, the EO-PE and LO-PE cohorts do exhibit gene expression profiles distinct from both each other a

91 provides the first insight into A. baumannii gene expression profiles during a life-threatening mamma

92 lls acquire unique structural properties and gene expression profiles during animal development.

93 -binding proteins play a key role in shaping gene expression profiles during stress, however, little

94 fest Huntington's disease is associated with gene expression profiles enriched for synaptic genes and

95 HCC mimicked this gene expression profile, even in cases that were morphol

96 nction arising from the strikingly different gene expression profiles exhibited by dorsal and ventral

97 Using DGET, researchers are able to look up gene expression profiles, filter results based on thresh

98 Gene expression profiling following MALT1 inhibition dem

99 on computational integration of network and gene expression profiles for extracting context-dependen

100 s the subcortical regions studied by ENIGMA, gene expression profiles for three pathways were signifi

101 We generated genome-wide blood gene expression profiles from admission samples and anal

102 re generated and compared with a database of gene expression profiles from cells treated with other b

103 Our method integrates novel gene expression profiles from each major non-malignant c

104 to annotate and reanalyse a large number of gene expression profiles from Gene Expression Omnibus (G

105 Here we describe the collection of gene expression profiles from mid-luteal phase endometri

106 work modeling, in vitro experimentation, and gene expression profiles from patient cohorts displaying

107 developed using in silico generated mixture gene expression profiles from single stressor data were

108 mes imputed from GWAS data with drug-induced gene expression profiles from the Connectivity Map datab

109 We separated gene expression profiles from tumor, stromal, and immune

110 lupus signature that is conserved within the gene expression profiles from whole kidney biopsies of p

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

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

113 that is robust to platform/batch effects in gene expression profiles generated by multiple platforms

114 computed tomographic (CT) image features and gene expression profiles generated by RNA sequencing for

115 Gene expression profile (GEP) testing segregates uveal m

116 onfronted an automatically generated RN with gene expression profiles (GEP) from a cohort of multiple

117 Drug-specific gene-expression profile (GEP) signatures that aid the pr

118 Here, we analyzed gene expression profiles (GEPs) using RNA from baseline

119 Gene expression profile (GSE70415) was recruited from Ge

120 nscript set overlapped with muscle unloading gene expression profiles (>/=1.5-fold change; P < 0.05).

121 Although the gene expression profile has been extensively studied in

122 Gene expression profiling has identified 2 major subclas

123 Gene expression profiles have been generated in various

124 This inference is supported by gene expression profiles highlighting mitochondrial dysf

125 1 pyramidal cells exhibit markedly different gene expression profiles, how these differences influenc

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

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

128 Global gene expression profiling identified the transcription f

129 ory network around the E2F family, and using gene expression profiles, identify tumour type-specific

130 epleted mammary epithelial cells alter their gene expression profile in a manner consistent with an E

131 In C. elegans, indole induces a gene expression profile in aged animals reminiscent of t

132 Here, we dissected the monocyte gene expression profile in childhood obesity using an Il

133 L-17A(hCD2) reporter mice revealed a similar gene expression profile in CT-induced intestinal Th17 ce

134 cy (IMD) and Toll pathway components, an AMP gene expression profile in Drosophila cells indicated IM

135 The gene expression profile in monocytes isolated from ZIKV-

136 synergy manifested as a dramatically altered gene expression profile in Npm1(cA);Flt3(ITD) , but not

137 responsible for Lyme disease, modulates its gene expression profile in response to the environments

138 quantifies REST activity (REST score) using gene expression profiles in absence of clinic-pathologic

139 ion, quantified densities of IC subsets, and gene expression profiles in anal SCCs from HIV-positive

140 lts indicate that it is possible to modulate gene expression profiles in HCC cell lines to those asso

141 typic and functional features, together with gene expression profiles in immunocompetent adults exper

142 Here, we present unique gene expression profiles in iN cells from patients with

143 determine exosome content and alterations in gene expression profiles in Mvarphi.

144 In this study, we investigated host gene expression profiles in nasopharyngeal (NP) swabs an

145 Analysis of global gene expression profiles in nondiseased primary proximal

146 n assimilation in this bacterium, changes in gene expression profiles in response to variations in th

147 Gene expression profiles in rice seedlings grown under c

148 gent exercise induces similar signalling and gene expression profiles in skeletal muscle of untrained

149 ectivity changes and neuroplasticity-related gene expression profiles in the cerebral cortex.

150 Comparison of the gene expression profiles in the egg, nymph and adult sta

151 tal disruptions were associated with altered gene expression profiles in the male fetal brain and sug

152 Here the authors analyze gene expression profiles in the prostate and show that s

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

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

155 Gene expression profiling in injection-site tissues from

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

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

158 Gene expression profiling in whole islets treated with 5

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

160 and trimethylated lysine 9 in histone), and gene-expression profiles in naive, effector memory (EM),

161 he Dutch guideline suggests use of validated gene-expression profiles in patients with estrogen recep

162 In this study, we examine the ml genes expression profile in Mesorhizobium loti and show

163 Purpose Gene-expression profiles increasingly are used in additi

164 Gene expression profiles indicate multiple states of mic

165 Gene expression profiles indicated that, in GCB DLBCL ca

166 Gene expression profiling indicated substantial down-reg

167 Gene expression profiling indicates that mouse tumors re

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

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

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

171 ases regarding the microenvironmental niche, gene expression profile, metastatic growth kinetics and

172 HepG2 samples displayed a consistent gene expression profile most similar to human HB tumors.

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

174 coffee, we present a time-course comparative gene expression profile of Caturra (susceptible) and Hib

175 T and control individuals to investigate the gene expression profile of IGF1 and IGF1R on different d

176 The gene expression profile of luminal-type breast cancer pa

177 These data indicate that the specialized gene expression profile of mature microglia requires con

178 The comparative gene expression profile of MDR E. coli 381 and the refer

179 single-cell RNA sequencing to determine the gene expression profile of MECs across four developmenta

180 reprogrammed cells which retained a typical gene expression profile of mesendodermal cells and were

181 ited information is available concerning the gene expression profile of metacyclic forms.

182 Our aim was to analyse the whole-gene expression profile of MTC with regard to the type o

183 he RET gene mutation slightly influenced the gene expression profile of MTC.

184 nes, which was distinctly different from the gene expression profile of pathogenic Th17 cells.

185 seen in HCC produced enlarged livers with a gene expression profile of persistent precursor prolifer

186 Gene expression profile of roots monitored at control an

187 This finding prompted us to compare the gene expression profile of the ES cell- and adult progen

188 ally relevant ratios, as well as an improved gene expression profile of the malignant cells.

189 of the hypoxic ventilatory response, yet the gene expression profile of these cells is not available.

190 sted using publicly available data comparing gene expression profiles of a mouse p38alpha (Mapk14) kn

191 s affected the survival, body condition, and gene expression profiles of a subsequent fish generation

192 We integrate gene expression profiles of cancer cell lines from two E

193 real-time PCR (qRT-PCR) we have measured the gene expression profiles of each of the Ras isoforms in

194 perior gametocyte detection, we compared the gene expression profiles of gametocytes and asynchronous

195 Analyzing sample-paired miRNA and gene expression profiles of GBM, our data showed that th

196 at there were no distinct differences in the gene expression profiles of hereditary and sporadic MTCs

197 We then analyzed gene expression profiles of human breast cancer patients

198 Personalizing treatment regimes based on gene expression profiles of individual tumors will facil

199 etter understand the mechanisms, we examined gene expression profiles of multi-tissues from outbred m

200 objective of this study was to define global gene expression profiles of NDCs at key stages of embryo

201 Furthermore, comparison of gene expression profiles of PDAC cells retaining or lack

202 Remarkably, global gene expression profiles of PS34CD45(-) cells correlate

203 Here we present gene expression profiles of purified microglia isolated

204 tion of Zc3h13 or Pten mutations altered the gene expression profiles of Rb1 mutants, rendering them

205 Because gene expression profiles of resting UCB monocytes from b

206 ally, this study provides a rich resource of gene expression profiles of term intravillous and extrav

207 We found that gene expression profiles of the two rabbit models were e

208 We hypothesized that the gene expression profiles of these differentiated cells c

209 Gene expression profiles of these two conditions exhibit

210 of a mediator for this function differential gene expression profiles of WIF1-expressing cells were p

211 Integration of gene expression profiles of wild-type and SP5 mutant cel

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

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

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

215 Gene expression profiling of 534 single ICM cells identi

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

217 Gene expression profiling of 84 oxidative stress and 249

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

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

220 Microarray gene expression profiling of IVIg-generated pTreg reveal

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

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

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

224 Global gene expression profiling of post-ischemic kidneys showe

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

226 Gene expression profiling of SPG11-NPCs revealed widespr

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

228 Gene expression profiling of SYNCRIP-depleted cells demo

229 Gene expression profiling of TNBC has identified molecul

230 lity and signaling patterns, morphology, and gene-expression profiles of cells interacting with natur

231 Our study shows that gene-expression profiles of psoriasis skin lesions, take

232 nvolved remain obscure, in part because CTRA gene-expression profiles often track external social-env

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

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

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

236 or quantifying biological processes by using gene expression profiles over a sample population, which

237 The smoking-induced gene expression profiles overlap significantly with prof

238 lting xeno-free protocol produces cells with gene expression profiles, oxygen consumption rates, nitr

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

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

241 ed that they possess fundamentally different gene expression profiles related to factors that regulat

242 xpression experiments, most methods retrieve gene expression profiles, requiring each experiment to b

243 l clustering of participants based on global gene expression profiles revealed that participants with

244 Gene expression profiles revealed that the most affected

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

246 Gene expression profiling revealed a subset of Forkhead

247 Subsequent gene expression profiling revealed an increase in downst

248 Gene expression profiling revealed comparable levels of

249 Gene expression profiling revealed enrichment in biologi

250 Gene expression profiling revealed genes differentially

251 Gene expression profiling revealed induction of genes as

252 Gene expression profiling revealed primary and metastati

253 Results Gene expression profiling revealed that 24% of patients

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

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

256 Global gene expression profiling revealed that the expression o

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

258 Gene expression profiling reveals molecular similarities

259 on-specific and cell type-specific reference gene expression profiles (RGEPs) from tumour-derived sin

260 We performed gene expression profile, RNA sequence, whole-exome and g

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

262 We found that some heat-treated fish had gene expression profiles similar to untreated controls o

263 Gene expression profile status was class 1 in 247 tumors

264 Brain gene expression profiling studies of suicide and depress

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

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

267 Recent fate-mapping studies and gene-expression profiles suggest that commonly used prot

268 Gene expression profiling suggested that NEK6 overexpres

269 ned by the reported technique for successful gene expression profile testing and prognostic classific

270 resistant to Gyrodactylus and had different gene expression profiles than lake sticklebacks.

271 However, the gene expression profile that affects progression in this

272 Here, we show that ATF4 controls a hepatic gene expression profile that overlaps with GCN2 but is n

273 -ABL1-like ALL, is a high-risk subset with a gene expression profile that shares significant overlap

274 ASD(IC+) children had a gene expression profile that, while primarily overlappin

275 taEx16 tumors exhibit distinct signaling and gene expression profiles that correlate with activation

276 lysis is applied to explore gene modules for gene expression profiles through weighted correlation ne

277 a novel set of copy number variant calls and gene expression profiles to characterize the polymorphic

278 as, derivative neurospheres, and single-cell gene expression profiles to define three tumor-intrinsic

279 ring hidden patterns embedded in time series gene expression profiles to gain enhanced understanding

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

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

282 tic link between environmental exposures and gene expression profiles ultimately leading to disease.

283 ic genetic and epigenetic changes determines gene expression profiles underlying these metabolic alte

284 chizophrenia (SZ), we generated whole-genome gene expression profiles using microarrays on peripheral

285 The Ph-like gene expression profile was identified in 341 of 1389 pa

286 nrichment analysis of our recently published gene expression profiles was performed.

287 Gene expression profiling was conducted using whole-geno

288 Gene expression profiling was performed on DCIS cells to

289 Gene expression profiling was performed using public RNA

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

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

292 Intestines were collected from mice and gene expression profiles were compared by microarray and

293 Host immune response gene expression profiles were generated by quantitative

294 Gene expression profiles were generated using Affymetrix

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

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

297 tive 3 thymocytes lacking Zfp36l1/l2 share a gene expression profile with postselected double-negativ

298 oss on tumor development, each resulted in a gene expression profile with significant overlap.

299 ncer Genome Atlas, we correlated immune cell gene expression profiles with numbers of chromosomal abe

300 rate approximation of the in vivo hepatocyte gene expression profile would improve the utility of hPS