ライフサイエンスコーパス: gene expression profile

1 LM), as well as a dysregulated hepatic lipid gene expression profile.

2 pigenetic profile that maintains the hepatic gene expression profile.

3 atus, and promoted a pathological microglial gene expression profile.

4 ity, and modulation of the adult hippocampal gene expression profile.

5 al progenitor populations and the epithelial gene expression profile.

6 , high-TIP5 expression, and a TIP5-regulated gene expression profile.

7 scence-associated secretory phenotype (SASP) gene expression profile.

8 ication ChIP-seq data sets with thousands of gene expression profiles.

9 nisms including body images and whole-genome gene expression profiles.

10 om responders and nonresponders had distinct gene expression profiles.

11 ofiling to catalog DA neurons based on their gene expression profiles.

12 thus providing a spatial context to altered gene expression profiles.

13 featuring statistical sampling of continuous gene expression profiles.

14 ulations, including mature BECs, by distinct gene expression profiles.

15 with damaged cells slowly reacquiring normal gene expression profiles.

16 ory and signaling networks from thousands of gene expression profiles.

17 ification of disease-associated variants and gene expression profiles.

18 tructure of this module was preserved across gene expression profiles.

19 entify biomarker genes for lung cancer using gene expression profiles.

20 tion of heterogeneous tissues based on their gene expression profiles.

21 present a minority of patients studied using gene expression profiles.

22 t little is known about their characteristic gene expression profiles.

23 state-of-the-art GRNs correspond to measured gene-expression profiles.

24 projection neurons defined by their distinct gene-expression profiles.

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

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

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

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

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

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

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

32 ified spectral patterns specific to the ECM3 gene expression profile, achieving a high spectral class

33 rly 88% of protein-coding genes have similar gene expression profiles across all pipelines.

34 Next, we compared the gene expression profiles across the three time points (1

35 e has examined social status-dependent brain gene expression profiles across vertebrates, yet social

36 Gene expression profile after ALPPS showed more similar

37 s in positively selected GC B cells led to a gene expression profile alike that of MBCs and increased

38 nalysis is revealing increasing diversity in gene expression profiles among brain cells.

39 Gene expression profiles among Indian children with conf

40 We explored changes in gene expression profiles among patients with SCD hospita

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

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

43 ation-like process characterised by a unique gene expression profile and 3D genome folding signature,

44 cessible chromatin that correlate with their gene expression profile and contain novel SAN enhancers,

45 Pathway analysis of the gene expression profile and in vitro functional studies

46 bovid horns and cervid antlers share similar gene expression profiles and a common cellular basis dev

47 We define the gene expression profiles and anatomical locations of 58

48 Finally, gene expression profiles and anatomical territories can

49 ered differentially expressed genes based on gene expression profiles and associated transcription fa

50 ogically indistinguishable and share similar gene expression profiles and biallelic TSC2 mutations, s

51 geal tissues were collected and analyzed for gene expression profiles and by quantitative polymerase

52 These also have distinct gene expression profiles and can be tracked by different

53 e identified based on unbiased clustering of gene expression profiles and canonical markers.

54 Analysis of murine and human CPC gene expression profiles and copy number changes reveale

55 o determine how individual cells with varied gene expression profiles and diverse functional characte

56 ummary, cocaine exposure persistently alters gene expression profiles and electrophysiological proper

57 ) and PDZK1IP1 (p = 0.0206) with RA-specific gene expression profiles and elevated expression of the

58 geneous lymphoid neoplasm with variations in gene expression profiles and genetic alterations, which

59 was to determine whether spaceflight alters gene expression profiles and induces oxidative damage in

60 By combining gene expression profiles and MRI-defined hypoxia levels

61 a given cancer type to reflect corresponding gene expression profiles and performs pathway enrichment

62 Based on gene expression profiles and protein sequences, 76 mosqu

63 These cells exhibit altered gene expression profiles and serve as a barrier, prevent

64 ar atlas of full-thickness skin, determining gene expression profiles and spatial locations that defi

65 Harmonization techniques make different gene expression profiles and their sets compatible and r

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

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

68 Gene expression profiling and flow cytometry were used t

69 s shared a similar NAD(+) metabolism-related gene expression profile, and deleting either MAC1 or HST

70 were activated, exhibited a pro-inflammatory gene expression profile, and extended their processes to

71 cluding their insulin secretory response and gene expression profile, and this heterogeneity can be a

72 trimester revealed their unique phenotypes, gene expression profiles, and differing capacities to in

73 istinct proliferation rates, lineage biases, gene expression profiles, and gene dependencies.

74 tumors acquire the somatic genomic changes, gene expression profiles, and immune microenvironment th

75 mus, on residual HIV burden, transcriptional gene expression profiles, and immune responses in HIV-in

76 ming of cancer recurrence, clinical factors, gene expression profiles, and immune status utilizing tw

77 l epigenetic development and neuron-specific gene expression profiles, and regulates voluntary exerci

78 ects on hepatocyte proliferation, apoptosis, gene expression profiles, and tumorigenesis.

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

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

81 ovide a detailed description of chemosensory gene-expression profiles as they relate to sensory tissu

82 G was also associated with an altered immune gene expression profile, as well as with monocyte activa

83 monocytes displayed an enhanced inflammatory gene expression profile associated with high glycemic bu

84 where patient-derived stromal cells exhibit gene expression profiles associated with early osteoblas

85 We retrieved detailed gene expression profiles associated with known, but rare

86 sms different types of tissues have distinct gene expression profiles associated with specific functi

87 model, assessment of T cell infiltration and gene expression profile at the DTH biopsy site correspon

88 endogenous regulatory RNAs which alters the gene expression profiles at a particular time and type o

89 The gene expression profile, before folding begins in the ma

90 ng the proportions of each cell type and the gene expression profiles between ATAA and control tissue

91 We also compared gene expression profiles between liver tissue samples fr

92 PA sites exhibited an apparent impact on the gene expression profiles between subspecies, and genes w

93 This is the first analysis of gene expression profiles beyond Vitis to mealybug-transm

94 Here, we applied an immune-based gene expression profile by NanoString platform to identi

95 capitulates the cell differentiation-related gene expression profile by suppressing Wnt pathway activ

96 Furthermore, gene expression profiling by next-generation sequencing

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

98 The altered gene expression profile caused by reducing histone sumoy

99 trating lymphocytes displayed phenotypes and gene expression profiles characteristic of CD8(+) effect

100 cortex, and these areas exhibited a distinct gene expression profile characterized by relative upregu

101 on results in lines with deregulated diurnal gene expression profiles compared with the wild-type cel

102 Gene expression profiling confirmed poor tadpole CD8(+)

103 Significant downregulation of gene expression profiles consistent with local innate im

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

105 cts and, on the basis of clustering of their gene-expression profiles, defined 16 immune-cell states.

106 e analysis revealed distinct disease-related gene expression profiles depending on anatomical locatio

107 n because it has the biggest number of human gene expression profiles deposited in public databases.

108 Analysis of gene expression profiles did not lead to the identificat

109 Inflammation-related gene expression profiles differed between the sexes, at

110 After day 1, gene expression profiles differed depending upon the sou

111 We aimed to identify gene expression profile differences in innate immunity p

112 le factor (HIF)-1 and HIF-2 and their target gene expression profiles during hypoxia.

113 ptomic gradient of two negatively correlated gene-expression profiles, each containing hundreds of ge

114 m bounded by a polyhedron whose vertices are gene-expression profiles, each specializing in one task.

115 Metabolomic and gene expression profiling established STAT1 deletion in

116 Gene expression profiling experiments have shown inducti

117 anscriptome analyses revealed changes in the gene expression profile following loss of KDM3B, includi

118 We demonstrated an alternate gene expression profile for UBR5 vs. well characterized

119 We identify likely gene expression profiles for muscle, nervous system, teg

120 Gene expression profiles for several thousand genes are

121 quencing (scRNA-seq) methods generate sparse gene expression profiles for thousands of single cells i

122 unsupervised classification of whole-genome gene expression profiles, four molecular subtypes of ova

123 ming, whole-genome bisulfite sequencing, and gene expression profiles from cells entering replicative

124 fic expression signature to compound-induced gene expression profiles from large drug libraries, rese

125 rvised analysis of a large public dataset of gene expression profiles from newly diagnosed de novo DL

126 Gene expression profiles from PBMCs treated with low equ

127 iscovery pipeline was developed to integrate gene expression profiles from The Cancer Genome Atlas an

128 s using our recently developed tool deTS and gene expression profiles from two reference tissue panel

129 Gene expression profiling from blood samples not related

130 By integrating gene expression profiling, genetics and comprehensive ph

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

132 Increasing number of gene expression profiles has enabled the use of complex

133 Cancer classification based on gene expression profiles has provided insight on the cau

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

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

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

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

138 for first trimester dNK; and 3) protein and gene expression profiles identified multiple differences

139 Gene expression profiling identified genes with high exp

140 These genetic subtypes also have distinct gene expression profiles, immune microenvironments, and

141 ocytes and obese mice elicits a fasting-like gene expression profile, improves glucose metabolism, de

142 nvadans infection in a susceptible host, the gene expression profile in head kidney of A. invadans-in

143 PN induced a unique gene expression profile in mDCs, including the gene that

144 ed RNA sequencing to characterize the HHV-6B gene expression profile in multiple sample types, and ou

145 This unique age-related gene expression profile in the red sea urchin nervous sy

146 Gene expression profiles in 10-mum pixels conformed into

147 Thus, we retrospectively analyzed the gene expression profiles in 2 rhesus monkey recipients u

148 ain this clinical variability, here we study gene expression profiles in 608 tumours across subtypes

149 patocarcinogenesis, we interrogated temporal gene expression profiles in a group of mouse models with

150 Here, we examined gene expression profiles in a total of 150 RNA samples f

151 Our findings on the distinct gene expression profiles in adipose tissue and their rel

152 henotypes, we integrated DNA methylation and gene expression profiles in blood from patients with WS

153 rable changes in immune cell infiltrates and gene expression profiles in both the gut lamina propria

154 B cell responses and the promotion of T(h)1 gene expression profiles in GC T(fh) cells.

155 Gene expression profiles in homologous tissues have been

156 of AMPKbeta1 and AMPKbeta2 lead to different gene expression profiles in human induced pluripotent st

157 cogenic properties of MCPyV, we analyzed the gene expression profiles in human spontaneously immortal

158 y examining large-scale phenotype-associated gene expression profiles in hundreds of mouse clonal cel

159 Dynamic gene expression profiles in innate cells, such as myeloi

160 onstrate that Satb1 differentially regulates gene expression profiles in non-pathogenic and pathogeni

161 in clinical or hematological variables, and gene expression profiles in PBLs associated to activatio

162 sed in female germ cells, we analyzed global gene expression profiles in perinatal ovaries from wildt

163 A comprehensive analysis of 8887 gene expression profiles in The Cancer Genome Atlas (TCG

164 stradiol and tamoxifen elicited differential gene expression profiles in the carotid artery.

165 ell-type proportions and their corresponding gene expression profiles in tissue samples would enhance

166 detect clinical and prognostic signals from gene expression profiles in tumor than other methods.

167 hs of life, and measured DNA methylation and gene expression profiles in upper airway mucosal cells a

168 ied overlapping but different transcriptomic gene expression profiles in Yellow Fever vaccine 17D (YF

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

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

171 Hypothalamic gene expression profiling in postnatal day 15 F2 descend

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

173 of hyperinflation, and the nasal epithelial gene-expression profile in severe COPD.

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

175 Moreover, gene expression profiling indicated a broad negative imp

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

177 Gene-expression profiling indicates that Trp53DeltaIECAk

178 ive effects of pan-HDACi on the inflammatory gene expression profile induced by TNFalpha and P. gingi

179 generation RNA sequencing to investigate the gene expression profiles intrinsic to this disease.

180 e full repertoire of cardiac cells and their gene expression profiles is a fundamental first step in

181 ing gene regulatory networks (GRNs) based on gene expression profiles is still an enormous challenge

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

183 Gene expression profiling is emerging as a tool for tube

184 relationship between clinical responses and gene expression profiles may shed light on the mechanism

185 The application of our method to time series gene expression profiles measured in peripheral blood fr

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

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

188 recapitulates the histological features and gene expression profile observed in human patients.

189 In this study, we examined the gene expression profile of a CRE Escherichia coli clinic

190 The gene expression profile of human prostate cancer cells f

191 hypothesized that isolating and studying the gene expression profile of invasive tumor cell subpopula

192 component analysis (PCA) determined that the gene expression profile of Quanjin was unique when compa

193 try and in vitro suppression assays, and the gene expression profile of rapamycin-conditioned Treg ce

194 ease-related, and age-related changes in the gene expression profile of skeletal muscle.

195 Global gene expression profile of stem cells reveals significan

196 sive divisions of the airways and the stable gene expression profile of these regions better defines

197 In this study, we evaluated the gene expression profile of two contrasting Eucalyptus gr

198 Using the gene expression profiles of 1,038 lung tissue samples, w

199 We established the bulk gene expression profiles of 78 ICCs.

200 Here, we describe single-cell gene expression profiles of 9,215 P. vivax parasites fro

201 n their drivers, we analyzed the genomic and gene expression profiles of acute myeloid leukemia (AML)

202 Strikingly, differential gene expression profiles of both whole muscle and, to a

203 Gene expression profiles of brain tissues were extracted

204 Meanwhile, large-scale gene expression profiles of cellular responses to chemic

205 e show dramatic evolutionary dynamism in the gene expression profiles of digits, challenging the noti

206 Computational analysis of gene expression profiles of DNA glycosylases in gastric

207 nt with this hypothesis, we found that brain gene expression profiles of DWV-A infected bees resemble

208 ic changes to the higher-order chromatin and gene expression profiles of human cells.

209 ind that our resistant G0 cells recapitulate gene expression profiles of in vivo chemoresistant leuke

210 The gene expression profiles of invading microtumors were an

211 uencing revealed marked perturbations in the gene expression profiles of Lyn(-/-) monocytes with upre

212 Our data indicate that dampening gene expression profiles of monocyte and neutrophil acti

213 We analyzed gene expression profiles of nontumor liver tissues from

214 We compared gene expression profiles of organoids incubated with fre

215 Voluminous gene expression profiles of patients with cancer have be

216 Global gene expression profiles of PBMCs from 43 drug-naive pat

217 glucocorticoid treatment in asthmatics using gene expression profiles of peripheral blood cells.

218 In this study, we compare the miRNA and gene expression profiles of primary tumors between two g

219 Here, we tested the hypothesis that gene expression profiles of protein-coding genes express

220 We, therefore, interrogated gene expression profiles of SLE synovium to gain insight

221 etion of C/EBPbeta in CD11c(+)MHCII(hi) DCs, gene expression profiles of splenic C/EBPbeta(-/-) DCs s

222 er-specific pathway/gene set collections and gene expression profiles of these patients.

223 uencing to generate comprehensive and global gene expression profiles of this gland at different stag

224 sed for validation purposes and to elucidate gene expression profiles of tumor-interacting monocytes

225 The gene expression profiles of two different types of studi

226 a graphical user interface to quickly score gene expression profiles of unknown cell clusters agains

227 Gene expression profiling of 165 pairs of human cancer c

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

229 Gene expression profiling of ECs lacking ERRalpha reveal

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

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

232 We performed gene expression profiling of primary human fibroblasts u

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

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

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

236 Gene expression profiling of the isolated cell protrusio

237 Global gene expression profiling of the lungs of infected dogs

238 signature but the result of normalizing the gene-expression profile of actively proliferating aneupl

239 uencing demonstrated distinct changes in the gene-expression profile of circulating platelets of COVI

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

241 Notably, cell types with divergent gene-expression profiles often shared very similar prope

242 ctural attributes, chemical composition, and gene expression profiles on a set of reticulated and smo

243 Gene expression profiling on the cerebral vessels isolat

244 to visualize the downstream effects of this gene expression profile onto the tissue, thus providing

245 ing functional relationships in data such as gene expression profiles or somatic mutation catalogs fr

246 CRC, and the accompanying drastic changes in gene expression profiles play fundamental roles in multi

247 for phosphorylation of signaling molecules, gene expression profiles, proliferation, and levels of g

248 t day 1, neutrophils were characterized by a gene expression profile proximal to bone marrow neutroph

249 A specific gene expression profile, referred to as ECM3 (Extracellu

250 Gene expression profiling results identified p53 pathway

251 A comparison of the gene expression profiles revealed 28 genes specifically

252 Immunophenotypic and gene expression profiles revealed a unique spectrum of m

253 Deconvolution of gene expression profiles revealed higher expression of t

254 Gene expression profiling revealed that cuticle composit

255 Gene expression profiling revealed that epithelial-mesen

256 Gene expression profiling reveals VGLL1 as a member of a

257 d regulatory DNA maps (DNase-seq) and paired gene expression profiles (RNA-seq) from primary outgrowt

258 Gene expression profiling showed a similar differentiati

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

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

261 Notably, gene expression profiling showed that patients with high

262 Gene expression profiling showed upregulation of genes t

263 including drug-gene phenotype similarity and gene expression profile similarity that capture informat

264 By shaping gene expression profiles, small RNAs (sRNAs) enable bact

265 These datasets delineate gene expression profiles spanning key differentiation ev

266 s in response to VEGF, including VEGFR2, and gene expression profiles, such as that of neuronal pentr

267 We demonstrated that MM-MSC have a distinct gene expression profile than ND-MSC, with 485 differenti

268 Circulating CD103(+) cells also shared a gene expression profile that is closer to that of gut CD

269 stone modification profile promotes a unique gene expression profile that supports enhanced tumor dev

270 Within the groups that exhibited opposing gene expression profiles, the expression pattern of the

271 million publicly-available human microarray gene-expression profiles, these profiles were measured u

272 iting the bimodal behavior of RNA-sequencing gene expression profiles to identify altered gene sets i

273 nformation on samples' tissue of origin with gene expression profiles to improve prediction performan

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

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

276 The gene expression profiles under the thermoneutral and hea

277 CD45RA (Temra) cells, which enacted specific gene expression profiles upon stimulation with cognate a

278 harmonization is based on the calibration of gene expression profiles using the auxiliary standardiza

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

280 The HBV-induced gene expression profile was similar to that induced by t

281 sis of NCI-60 compound screening results and gene expression profiles was performed.

282 Comparative gene expression profiling was performed between 2 murine

283 une cells with laser capture microdissection gene expression profiles, we defined distinct TIME strat

284 Coupling pMEI genotypes with gene expression profiles, we identify pMEI-associated ex

285 sis of genome-wide histone modifications and gene expression profiles, we show that a gene priming me

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

287 Gene expression profiles were also determined after dise

288 Gene expression profiles were analyzed via microarray.

289 The gene expression profiles were determined by microarray a

290 Treatment-induced changes in lesional skin gene expression profiles were evaluated using Affymetrix

291 ly differed in the ways in which their brain gene expression profiles were influenced by parental exp

292 Genome-wide gene expression profiles were obtained and biomarker ide

293 Moreover, these anatomically distinct gene expression profiles were recapitulated within indiv

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

295 Distinct Spn and host gene-expression profiles were observed during colonizati

296 use of antiviral inhibitors, and its latent gene expression profile which mirrors many properties ob

297 based data integration techniques, combining gene expression profiles with computationally generated

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

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

300 We compare these gene-expression profiles with published profiles of sing