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

1 besity and presence of the Philadelphia-like gene expression signature.

2 NAPRT expression correlates with a BRCAness gene expression signature.

3 ll proliferation and an antigen presentation gene expression signature.

4 ontact inhibition and a strong Ewing sarcoma gene expression signature.

5 cal appearance, anatomical localization, and gene expression signature.

6 and embryonic stem (ES) cells share a common gene expression signature.

7 derived from a 91-gene HCC "venous invasion" gene expression signature.

8 n signalling pathway and absence of a T-cell gene expression signature.

9 etastatic cells possess a distinct stem-like gene expression signature.

10 and cannot be distinguished by a consistent gene expression signature.

11 germinal center reaction and its associated gene expression signature.

12 otal mutation burden, or an interferon-gamma gene expression signature.

13 , and promoted a heightened pro-inflammatory gene expression signature.

14 C missense mutations exhibit an inflammatory gene expression signature.

15 oint aEC2 cells that exhibit an inflammatory gene expression signature.

16 give a consensus DNA sequence and consensus gene expression signature.

17 specific transcriptional perturbations from gene expression signatures.

18 retinal cell types, and their corresponding gene expression signatures.

19 veal the prognostic relevance of the related gene expression signatures.

20 obtain RNA element-specific, high-resolution gene expression signatures.

21 mponents was also validated using orthogonal gene expression signatures.

22 ly correlated with GSC markers and stem cell gene expression signatures.

23 subjects was performed to identify distinct gene expression signatures.

24 function show enrichment for smoking-related gene expression signatures.

25 s prediction algorithms, as well as numerous gene expression signatures.

26 man bladder cancers, which displayed similar gene expression signatures.

27 to assess the diagnostic value of candidate gene expression signatures.

28 capture of CTCs with the profiling of their gene expression signatures.

29 ients who can be identified and monitored by gene expression signatures.

30 raduated acquisition of gut segment-specific gene expression signatures.

31 NA copy number alterations and an archive of gene expression signatures.

32 ase states are connected by virtue of common gene-expression signatures.

33 The resulting gene expression signature (4-GES) consisted of 4 genes (

34 ker identification was carried out comparing gene expression signatures a subset of IgAN patients wit

35 valuate functional convergence in epithelial gene expression signatures across multiple public access

36 measure the main differences in drug-induced gene expression signatures across SLE patients and to ev

37 In this second study, we identified gene expression signatures along the choroidal vascular

38 CSCs have a significantly repressed IFN/STAT gene expression signature and an enhanced ability to mig

39 is classified by an extreme EpCAM(+) AFP(+) gene expression signature and associated with poor progn

40 We tested the relationship between this gene expression signature and both recurrence-free survi

41 Nucleotide supplementation reversed the gene expression signature and DDX21 occupancy changes pr

42 nd investigated the association between this gene expression signature and development of HCC and out

43 Sensitive tumours exhibited a distinguishing gene expression signature and generally higher levels of

44 r translocation which induces a pro-survival gene expression signature and inhibits apoptosis.

45 e above findings, tumors harboring a TGFbeta gene expression signature and RUNX3 loss exhibited highe

46 Tuft cells have a Th2-related gene expression signature and we demonstrate that they u

47 Using whole transcriptome gene expression signatures and a computational bioinform

48 toma metastasis in vivo Overall, we identify gene expression signatures and candidate therapeutics th

49 We identified gene expression signatures and clinical data that are as

50 Databases of perturbation gene expression signatures and drug sensitivity provide

51 active form of YAP (YAP(S127A)) and analyzed gene expression signatures and histomorphologic paramete

52 Ls fraction, tumor purity, adaptive immunity gene expression signatures and improved survival in Her2

53 and produce proB cells with aberrant myeloid gene expression signatures and potential: features (coll

54 Dynamic changes to gene expression signatures and protein biomarkers occurr

55 instem gliomas that recapitulated human DIPG gene expression signatures and showed global changes in

56 power analyses, construction of differential gene expression signatures and their comprehensive funct

57 anization is key to the establishment of new gene expression signatures and thus new cell identity.

58 rk for the investigation of complex aberrant gene-expression signatures and establish that reactivati

59 egard to cell metabolism, viability, growth, gene expression signature, and cytokine secretion.

60 os, to discover organizers based on a common gene expression signature, and use it to uncover the ant

61 es that vary in their genetic abnormalities, gene expression signatures, and prognoses.

62 ng generating large amounts of genomic data, gene expression signatures are becoming critically impor

63 Gene expression signatures are commonly used as predicti

64 In general, we find the aging gene expression signatures are very tissue specific.

65 r driver of RNA-ITH, and existing prognostic gene expression signatures are vulnerable to tumor sampl

66 mutations on a new KRAS mutation-associated gene expression signature as well as previously defined

67 l-known RNA splicing factors exhibit similar gene expression signatures as samples with coding mutati

68 some features of the human immature/ETP-ALL gene expression signature, as well as an enhanced leukae

69 ted Smad1/5/8 and opposed the pro-angiogenic gene expression signature associated with ALK1 loss-of-f

70 Immunity, Krasemann et al. (2017) describe a gene expression signature associated with an APOE- and T

71 These analyses defined a gene expression signature associated with CD4(+) T folli

72 urvival of TAMs, but rather controls a novel gene expression signature associated with cytoskeleton r

73 to construct and interpret the differential gene expression signature associated with each common in

74 screen to identify drugs that can inhibit a gene expression signature associated with epithelial-mes

75 fatty acid oxidation ex vivo Remarkably, the gene expression signature associated with FoxO1 deacetyl

76 ross-validation analysis was used identify a gene expression signature associated with HGD vs nondysp

77 ls of Atoh1 messenger RNA (mRNA), acquired a gene expression signature associated with secretory cell

78 ter androgen exposure identified a metabolic gene expression signature associated with the action of

79 Additionally, cMASCs revealed gene expression signatures associated with cancer associ

80 -based methodology to generate networks from gene expression signatures associated with defined mutat

81 rther identify several cancer cell-intrinsic gene expression signatures associated with ICB resistanc

82 SCAF cells were highly enriched for gene expression signatures associated with metastasis an

83 iEDGE first identifies the cis and trans gene expression signatures associated with the presence/

84 The gene expression signatures associated with these GC subp

85 particles, had increased levels of FOXP3 and gene expression signatures associated with tolerance ind

86 Analysis of the gene expression signatures associated with UC remission

87 attempts to identify compounds that reverse gene-expression signatures associated with disease state

88 w that sentinel methylation markers identify gene expression signatures at 38 loci (P < 9.0 x 10(-6),

89 We identified a nasal gene-expression signature at screening that associated w

90 A gene expression signature based on over-represented TFs

91 A gene expression signature based on the top screening hit

92 Although gene-expression signature-based biomarkers are often dev

93 our candidate signatures with 4 published TB gene-expression signatures, both on the independent test

94 sociated agonist of cell death (BAD) pathway gene expression signature (BPGES) was derived using prin

95 Transcriptome profiling reveals a gene expression signature broadly distinguishing stem ce

96 CAGE signature is not an aneuploidy-specific gene-expression signature but the result of normalizing

97 ere associated with a TH2-related epithelial gene expression signature, but expression of TH17-relate

98 evaluation of tumour cell PD-L1 expression, gene expression signatures, CD8(+) T cell density and ot

99 ne/zygotene stage, they nevertheless develop gene expression signatures characteristic of later devel

100 Together with a gene expression signature characterized by IFN-I-induced

101 This gene expression signature, combined with level of biliru

102 been associated with a unique immune-related gene expression signature composed of distinct chemokine

103 is for lung adenocarcinoma, and that a three-gene expression signature comprising TNC, S100A10, and S

104 ccRCC shows a gene expression signature consistent with adipogenesis,

105 uted tubule, and principal cells all adopt a gene expression signature consistent with increased pota

106 and HPV(+) but not HPV(-) cancers exhibit a gene-expression signature consistent with PTPN14 inactiv

107 data with genomic data, we have identified a gene expression signature consisting of 13 up-regulated

108 perplasia-upregulated gene lists generated a gene expression signature consisting solely of module N5

109 eukemic cells, we defined a single cell core gene expression signature correlated to JAM-C expression

110 A dexamethasone-associated gene expression signature correlated with shorter surviv

111 ng-based reference tissue selection, disease gene expression signature creation, drug reversal potenc

112 r regulator inference algorithm (MARINA) and gene expression signature data from healthy and periodon

113 ients and explored molecular pathology using gene expression signature databases.

114 using bioinformatics approaches to decipher gene expression signatures derived specifically from eit

115 We show that p-FLCs have a distinct gene expression signature different from that of m-FLCs,

116 NK1.1, CD49a, and CD103, these cells share a gene-expression signature distinct from those of convent

117 trauma type revealed a clear pattern of PTSD gene expression signatures distinguishing interpersonal

118 In each patient, the overall gene expression signatures, DNA copy number patterns, an

119 Currently, prognostic gene-expression signatures do not exist for all cancer t

120 scriptional output, loss of the HCL-specific gene expression signature, downregulation of the HCL mar

121 To uncover the gene expression signatures due to the GAA.TTC repeat exp

122 Transcriptomic analysis reveals a gene expression signature enriched for metabolic and imm

123 tumors based on a DNA repair and cell-cycle gene expression signature exposes vulnerabilities to sta

124 high expression of ERBB3 with an epithelial gene expression signature; expression of TGFbeta correla

125 An mRNA gene expression signature for COPD was identified in lun

126 Consequently, a gene expression signature for suberin polymer assembly w

127 s to detect frozen tissue-derived prognostic gene expression signatures for CRC patients.

128 nally, in humans, rejuvenation lasers induce gene expression signatures for dsRNA and RA, with measur

129 Pitx2 function and provide a compilation of gene expression signatures for further detailing the com

130 Here, we report that gene expression signatures for individual bees unrespons

131 Gene expression signatures for the prediction of differe

132 ta-analysis was used to build a cross-tissue gene-expression signature for HPV-driven cancer.

133 We identified the first gene-expression signature for TB screening.

134 genes bound by NHA9 and MLL1 and reverses a gene expression signature found in NUP98-rearranged huma

135 We identified a gene expression signature from zebrafish thyroid cancer

136 aggregate, and analyze themed collections of gene expression signatures from diverse but related stud

137 s unique to autism spectrum disorders; brain gene expression signatures from other honey bee behavior

138 to infer cell proportions and cell-specific gene expression signatures from our whole tissue transcr

139 r SCZ and ASD, protein interaction data, and gene expression signatures from SCZ and ASD postmortem c

140 ing to develop prognostic, morphology-based, gene expression signatures from the vascular architectur

141 low tumor mutational burden/T cell-inflamed gene expression signature (GES) or high immunosuppressiv

142 algorithms into an analysis environment for gene expression signature (GES) searching combined with

143 luding new immunomodulatory and angiogenesis gene expression signatures (GESs), previously undescribe

144 An IFNgamma gene expression signature higher than the median was pro

145 and for a major part of their characteristic gene expression signature; however, it remains unknown t

146 A novel gene expression signature identified severely injured he

147 analysis of aggregated collections of tagged gene expression signatures identified and extracted from

148 Gene expression signatures identify cell subpopulations

149 We aimed to determine whether gene expression signatures improved upon clinico-patholo

150 ile only rapamycin perturbed the healthy-age gene expression signature in a manner consistent with in

151 erations of PPARG or RXRA lead to a specific gene expression signature in bladder cancers.

152 acquisition of the aberrant preleukemic ETP gene expression signature in immature Lmo2 transgenic th

153 The gene expression signature in invasive breast cancer was

154 that LMP1 is important to establish the Hox gene expression signature in NPC cell lines and tumor bi

155 biopsies and identified a strong cell cycle gene expression signature in OAC compared to BO.

156 Interestingly, the gene expression signature in p53-deficient hearts confer

157 3 class mediator, which is a replicable COPD gene expression signature in the upper and lower airways

158 n design, we discovered and validated a four-gene expression signature in whole blood, indicative of

159 ciCCs, and that active chromatin regions and gene expression signatures in AciCCs are highly correlat

160 expression of 1alpha,25(OH)(2)D(3)-inducible gene expression signatures in clinical samples taken fro

161 rized into different subtypes based on their gene expression signatures in distinct pathways such as

162 We compared gene expression signatures in inflamed vs noninflamed in

163 ive miRNAs that are associated with temporal gene expression signatures in macrophages early after Mt

164 ignaling promotes resident tissue macrophage gene expression signatures in monocytes in the blood and

165 The findings suggest that distinct gene expression signatures in pathologic gingival tissue

166 This comparative analysis of the gene expression signatures in preconditioning strategies

167 Further, we identify CX-5461-sensitivity gene expression signatures in primary and relapsed HGSOC

168 oarray revealed that IGF1 activated distinct gene expression signatures in the 2 Sox9-EGFP ISC popula

169 We identify a "NOTCH1 gene-expression signature" in CLL cells, and show that t

170 sted several compounds that reverse the COPD gene expression signature, including a nicotine receptor

171 mab) showed upregulation of an IFNG-response gene expression signature, including CTLA4 itself, which

172 ified seven ovarian cell types with distinct gene-expression signatures, including oocyte and six typ

173 y-6C(low) macrophages with a skewed M2-prone gene expression signature, increased collagen deposition

174 Damaged mitochondria accumulated, and gene expression signatures indicated attempted axonal re

175 Emu-Tcl1 murine model of CLL, we identified gene expression signatures indicative of a skewed polari

176 The gene expression signatures induced by both preconditioni

177 onhematopoietic cells exhibited a strong IFN gene-expression signature, irrespective of genotype.

178 and failed to address whether the identified gene expression signature is disease-specific or more wi

179 INTERPRETATION: The peripheral blood 52-gene expression signature is predictive of outcome in pa

180 In addition, an MET gene expression signature is prognostic for improved ove

181 In addition, an XBP1-specific gene expression signature is strongly associated with PC

182 exhibit limited self-renewal in vitro and a gene expression signature like their embryonic counterpa

183 HNF1A is necessary to repress an alpha cell gene expression signature, maintain endocrine cell funct

184 the Clu(+) regenerative program and a fetal gene expression signature marked by Sca1, but upon injur

185 lly, we propose that using a UPR(mt) nuclear gene expression signature may be a more reliable readout

186 . pseudomallei In our study, we adapted host gene expression signatures obtained from microarray data

187 Here, using gene expression signatures obtained from mouse cell type

188 We identified a proteo-transcriptomic gene expression signature of 388 host genes specific for

189 A sputum gene expression signature of 6 biomarkers (6-gene signat

190 We further define a gene expression signature of anergic CLL cells consistin

191 ngle-cell RNA sequencing revealed a distinct gene expression signature of antigen processing and pres

192 nd STAT3 cooperate to activate the canonical gene expression signature of basal-like triple-negative

193 hagy, repression of E2F target genes, and an gene expression signature of blocked DNA methylation.

194 manual quantification of stromal areas and a gene expression signature of cancer-associated fibroblas

195 bal suppression of transcription, maintain a gene expression signature of diapaused blastocysts and r

196 The gene expression signature of HCC-bearing livers is simil

197 f tumors within GCB-DLBCL characterized by a gene expression signature of HGBL-DH/TH- BCL2.

198 We generated a gene expression signature of IL-17A response in bronchia

199 oinformatic cross-species comparison using a gene expression signature of MPNST-like mouse melanomas

200 nal cord of Zfp106 knockout mice displayed a gene expression signature of neuromuscular degeneration.

201 strategy to identify compounds opposing the gene expression signature of STAT3, we discovered atovaq

202 nd physiological phenotyping, identified the gene expression signature of the response and revealed h

203 Finally, we compared gene expression signatures of cell types between human a

204 in vitro differentiation system, we defined gene expression signatures of distinct progenitor popula

205 enous DUX4-and show that the DUX4-associated gene expression signatures of each dataset are highly co

206 tal and adult human liver identifies diverse gene expression signatures of hepatic and biliary lineag

207 Gene expression signatures of I. echinospora rootlets an

208 Furthermore, gene expression signatures of I. echinospora rootlets we

209 ised mutational burdens that correlated with gene expression signatures of immune infiltration, and g

210 able to recover the expected epigenetic and gene expression signatures of loss of chromatin interact

211 Our findings indicate that gene expression signatures of mRNA exposed up to 37 days

212 Literature review identified 16 mRNA gene expression signatures of radiosensitivity, HPV stat

213 erated M. lignano transcriptome assembly and gene expression signatures of somatic neoblasts and germ

214 pple-specific signaling factors, we compared gene expression signatures of sorted Pdgfralpha-positive

215 We quantified 14 gene expression signatures of the TME and those of 3 fun

216 Cellular Signatures), a database containing gene expression signatures of thousands of compounds, to

217 s of I. echinospora rootlets were similar to gene expression signatures of true roots of Selaginella

218 with protective memory cells we compared the gene expression signatures of two qualities of memory CD

219 In this study, we sought to understand the gene-expression signature of patients with primary prost

220 e are consistent differences in mutation and gene-expression signatures of head and neck and lung SCC

221 We quantified 14 gene-expression signatures of the TME and those of 3 fun

222 burden alone or in combination with IFNgamma gene expression signature or other markers for an adapti

223 In the gene expression signature patterns elicited by SBI-756,

224 CAF-induced gene expression signatures predicted clinical outcome an

225 a distinct ALL subtype with a characteristic gene expression signature predominantly driven by chromo

226 e integration of somatic gene mutations with gene expression signatures provides further insights int

227 nalysis and information gain identified a 14 gene expression signature related to the 9VF's.

228 protein degradation, subsequently regulating gene expression signatures related to oxidative phosphor

229 A 140-gene expression signature reliably stratified patients w

230 h as TP53 mutations, expression of IRF4, and gene expression signatures reminiscent of dark zone germ

231 neonatal mouse brain assume a phenotype and gene expression signature resembling that of resting mic

232 while Vitamin E induced a pro-proliferative gene expression signature, Selenium alone or combined wi

233 Gene expression signature sets were validated using gene

234 Finally, we uncover a growth promotion gene expression signature shared between different devel

235 The gene expression signatures showed discriminatory power b

236 Comparison of global gene expression signatures showed that transcriptomic ch

237 Of 688 previously described gene expression signatures, significant associations wer

238 on of known MSI-targets, and a shared global gene expression signature similar to shRNA depletion of

239 n phenotype in a transwell assay possessed a gene expression signature similar to that observed in th

240 g mice revealed enhanced AKT signaling and a gene expression signature similar to those of human ovar

241 rganoids incubated with free fatty acids had gene expression signatures similar to those of liver tis

242 Accordingly, tumor gene expression signatures specific for myeloid cell che

243 we report on a validated and highly accurate gene expression signature that can be reliably used to i

244 nclear which transcription factors drive the gene expression signature that defines basal-like triple

245 ACC cohort, we identified and developed a 17-gene expression signature that distinguished IGHV-unmuta

246 We recently described a gene expression signature that identifies 27% of germina

247 AC causes tumor cell responses and exposes a gene expression signature that implicates MAC as a drive

248 nts also inhibit the expression of a hypoxia gene expression signature that is associated with decrea

249 Resistance is associated with an adaptive gene expression signature that is common to multiple kin

250 We have defined and validated a new gene expression signature that is independent of drug ef

251 onse is associated with the suppression of a gene expression signature that is strongly prognostic in

252 profiles defined by a hypothalamic-specific gene expression signature that lacked pituitary markers.

253 We also unmasked a retina-specific gene expression signature that might contribute to CaMKI

254 regulated genes, we defined a robust IFNbeta gene expression signature that quantifies the IFN activa

255 the unannotated class (23% of samples) had a gene expression signature that was not associated previo

256 lular phenotype, which led to isolation of a gene expression signature that was predictive of surviva

257 red characteristic microglial morphology and gene expression signatures that closely resembled primar

258 and invasive states, which have identifying gene expression signatures that correlate with good and

259 ing) technologies allows us to determine key gene expression signatures that correlate with resistanc

260 We reveal gene expression signatures that demarcate fibroblasts fr

261 nalyses of the putative GLCAT genes revealed gene expression signatures that likely influence the ass

262 e survival (RFS), overall survival (OS), and gene expression signatures that predict pCR and survival

263 SC) phenotypes based on growth potential and gene expression signatures that represent oncogenic sign

264 cytes and microglia also acquired persistent gene expression signatures that were associated with rem

265 yielded classical (Ly6C(hi)) monocytes with gene expression signatures that were defined by their or

266 This allowed us to generate a gene-expression signature that integrated opposing infla

267 olorectal adenocarcinoma metastasis-specific gene-expression signature that is free from potentially

268 ence in budding yeast of a common aneuploidy gene-expression signature that is suggestive of hypo-osm

269 Recent mRNA sequencing studies reported gene-expression signatures that define PDAC molecular su

270 8(+) T cell populations with tissue-resident gene-expression signatures that shared features of termi

271 triking similarities in the energy metabolic gene expression signature, the mitochondrial bioenergeti

272 We therefore aimed to develop and validate a gene expression signature to identify which of these pat

273 We aimed to develop and validate a gene expression signature to predict which patients woul

274 We aimed to develop and validate a gene expression signature to suggest which patients woul

275 , however recent studies have applied single gene expression signatures to classify bladder cancers i

276 We profiled gene expression signatures to distinguish rheumatoid art

277 escribed an assay called ScoreCard that used gene expression signatures to quantify differentiation e

278 in situ sampling of apoptotic IECs revealed gene expression signatures unique to each phagocyte, inc

279 In contrast, a basal-like gene expression signature was better at predicting OSmet

280 For these TFs, a gene expression signature was built to assess their impl

281 A common consensus gene expression signature was identified between bladder

282 The T-cell gene expression signature was increased in women who und

283 This E2f3 TAM gene expression signature was sufficient to predict canc

284 clinically relevant colorectal cancer (CRC) gene expression signatures, we assessed the susceptibili

285 When corresponding tissue-specific gene expression signatures were analyzed, low levels HHV

286 Nasal gene expression signatures were as good or better for di

287 ifferences in 1alpha,25(OH)(2)D(3)-inducible gene expression signatures were modest and variable if s

288 Moreover, the biomarker gene expression signatures were used for bioinformatic d

289 Additionally, two distinct in vivo splenic gene-expression signatures were induced.

290 fector cells displayed a stronger pro-memory gene expression signature, whereas the gene expression p

291 as associated with a specific pro-angiogenic gene expression signature, which included a significant

292 We identified a nine-gene expression signature, which predicted clinical outc

293 ssion of hundreds of genes in the basal-like gene expression signature, which were associated with po

294 ied 32 anatomically diverse and reproducible gene expression signatures, which represent distinct cel

295 rigenesis, and the tumours share a conserved gene expression signature with beta-catenin-positive hum

296 ere we used tomo-seq to obtain a genome-wide gene expression signature with high spatial resolution s

297 ng lymphocytes share a core tissue-residency gene-expression signature with TRM cells that is associa

298 ighly statistically significant and distinct gene expression signature, with coordinate overexpressio

299 associated with distinct and nonoverlapping gene expression signatures within the HSC compartment.

300 Moreover, the biomarker gene expression signatures yielded leads for possible ne