ライフサイエンスコーパス: gene signature

1 reducing the expression of a DGF-associated gene signature.

2 the gene expression values to find a minimum gene signature.

3 cytokines, and an elevated T cell activation gene signature.

4 riptional activity and enriching for an AP-1 gene signature.

5 Factor E (NELFE)-Dependent MYC Target (NDMT) gene signature.

6 ed with an acute-phase inflammatory response gene signature.

7 Rheb1-Rheb2 enforced eTreg cell suppressive gene signature.

8 n positively correlates with a NASH/fibrosis gene signature.

9 low-risk or high-risk groups based on the 52-gene signature.

10 17 unique protein-coding genes yielding a 17-gene signature.

11 ess the non-responder (ERN1, IGFBP3, IGFBP5) gene signature.

12 sis subtype was characterized by mesenchymal gene signatures.

13 idney in order to identify organ-enriched EC gene signatures.

14 ressed expression of numerous cancer-related gene signatures.

15 anoma to human melanoma in heterogeneity and gene signatures.

16 ionships among human diseases based on their gene signatures.

17 posed gene signatures against other existing gene signatures.

18 th T cell histone methylation and functional gene signatures.

19 lls, and are enriched for IL-1 and NF-kappaB gene signatures.

20 f effective means to determine optimal query gene signatures.

21 ells express both proliferative and invasive gene signatures.

22 s for metabolic features along with specific gene signatures.

23 enriched for stem and invasive (mesenchymal) gene signatures.

24 7, and 9 patients were identified with IL-13 gene signatures.

25 e set analysis using data-defined functional gene signatures.

26 clinically relevant invasion and metastasis gene signatures.

27 ctivator of transcription 3 (STAT3)-specific gene signatures.

28 tified by computationally subtracting muscle gene signatures.

29 , PD-L1 immunohistochemistry, nor T-effector gene signatures.

30 re (periostin, collagen type III) fibroblast gene signatures.

31 gene expression signature of 6 biomarkers (6-gene signature [6GS], including Charcot-Leyden crystal g

32 We aimed to assess the impact of a 70-gene signature (70-GS) test on CT decisions in patients

33 To validate the robustness of the gene signature, a meta-analysis approach was applied to

34 A previously identified biopsy gene signature accurately predicted TOL versus non-TOL i

35 e preweaning, a previously identified biopsy gene signature accurately predicted TOL vs. non-TOL in 1

36 Two gene signatures achieved the minimal WHO TPP for a non-s

37 and negative predictive value (NPV) for each gene signature across all datasets.

38 ch for the evaluation of previously obtained gene signatures across multiple gene expression datasets

39 et of ILCs scored highly for a CGRP-specific gene signature after in vivo alarmin stimulation, sugges

40 stance, as was high expression of cell cycle gene signatures after treatment.

41 Finally, we benchmarked the proposed gene signatures against other existing gene signatures.

42 arge scRNA-seq datasets and a combination of gene signatures allow the specific detection of human ga

43 High-throughput screening and gene signature analyses frequently identify lead therape

44 a systems biology approach termed Conserved Gene Signature Analysis (CGSA), which compared RNA seque

45 Comprehensive gene signature analysis and bioinformatics efforts, incl

46 Gene signature analysis confirmed the lymphocyte infiltr

47 ch patient based on the expression of the 17-gene signature and a significant increasing trend in the

48 ignificant association between the IRE1alpha gene signature and CD274 gene expression in tumor-infilt

49 This remodeling produces a distinct gene signature and new vulnerabilities to the proapoptot

50 ntly, NRG1 treatment induces a proliferative gene signature and promotes organoid formation from prog

51 es that lack the detrimental proinflammatory gene signature and reduced potentially damaging neutroph

52 is shown to be associated with a lipogenesis gene signature and specific induction of fatty acid synt

53 e human prostate cancers had a repressed AKT gene signature and transcriptional downregulation of IRS

54 less exhausted, exhibit cytotoxic T effector gene signature and tumor killing function, and exert a s

55 ied, which lacked Th17- and T(FH)-associated gene signatures and differentiation-associated surface m

56 Stromal and dendritic cell gene signatures and polarization of T cells against the

57 tification and utilization of early exposure gene signatures and robust predictive models in regulato

58 We report on East-Asian alpha- and beta-cell gene signatures and substantiate several genes/pathways.

59 By comparing these gene signatures and validated markers to HIO ECs, we fin

60 plying probabilistic causal methods to these gene signatures and validation testing in independent co

61 ssion levels strongly correlate with an MDSC gene signature, and high expression of YAP or MDSC-relat

62 creased type I interferon and an IFN-related gene signature, and indeed anti-IFNAR1 treatment diminis

63 Car4-high ECs express a unique gene signature, and ligand-receptor analysis indicates t

64 , acquisition of an ex vivo human microglial gene signature, and responsiveness to both acute and chr

65 melanoma immune profile (MIP), an IFN-based gene signature, and the ratio of CD8(+) cytotoxic T lymp

66 April 28, 2014, to Aug 20, 2015, using a 52-gene signature, and we assessed whether monocyte percent

67 (CRP) that displays stem cell and migratory gene signatures, and contributes to homeostatic BEC turn

68 The early innate gene signature anticipated immunological outcome by disc

69 This gene signature approach is now being integrated with inf

70 to big data generation, increasing number of gene signatures are being published to predict various f

71 Gene signatures are increasingly being used to infer the

72 statistical properties of sets of genes, or gene signatures, are conserved across independent datase

73 We present the 97-gene signature as an accurate prognostic predictor of ov

74 e a similar cell composition, structure, and gene signature as lymph nodes and therefore may function

75 ne signature changes ahead of the epithelial gene signature as prostate cancer initiates and progress

76 tiple tissues revealed a tissue-resident MBC gene signature as well as gut- and spleen-specific signa

77 DAC3 inhibition were enriched for light zone gene signatures as observed in germinal centers.

78 ative bioinformatics identified classical PC gene signatures as well as novel mitochondrial and autop

79 tification of the dose-response potency of a gene-signature as EC(50) and IC(50) values.

80 ncrease in the WNT/APC/MYC signaling pathway gene signature, as well as that of MYC target genes that

81 We derived a gene signature associated with tertiary lymphoid structu

82 proteomics confirmed down regulation of the gene signatures associated with 'stemness' in AML and Wn

83 oteome and transcriptome levels can validate gene signatures associated with a phenotype.

84 hepatocellular carcinoma (HCC) to search for gene signatures associated with chromosomal instability

85 s in male mice were enriched in pathways and gene signatures associated with human and rodent nonalco

86 ytosine levels in the DNA, downregulation of gene signatures associated with ovarian cancer metastasi

87 bolic regimen that promoted Trm cell and TIL gene signatures associated with tissue residency and pol

88 both mice and humans, MAIT subsets expressed gene signatures associated with tissue residency.

89 tumors reveals that enrichment of a Trm cell gene signature associates with DC activation and improve

90 sion profiles, the expression pattern of the gene signature at relapse was linked to progression-free

91 Gene signature-based tumor microenvironment inference re

92 Multiplexed gene-signature-based phenotypic assays are increasingly

93 irculating memory Th2 cells share a core Th2 gene signature but also exhibit distinct transcriptional

94 romal cells and to define disease-associated gene signatures by using statistical and bioinformatics

95 Our study suggest that a 26-gene signature can define MPBC-HGT1 within conventional

96 We demonstrate that a sputum gene signature can predict future exacerbation phenotype

97 ofiles in the prostate and show that stromal gene signature changes ahead of the epithelial gene sign

98 ells and demonstrate that aging results in a gene signature characteristic of bioenergetic dysfunctio

99 Strikingly, we further observed gene signatures characteristic for dedifferentiation and

100 ells from ASYMP individuals expressed unique gene signatures characterized by higher levels of type I

101 ctive optimization approach that prioritizes gene signature cohesiveness and patient survival in para

102 ehensive transcriptomic analyses to identify gene signatures common to circulating and tumor infiltra

103 blished, self-specific CD8 T cells display a gene signature comparable to tumor-specific CD8 T cells

104 press cell migration and stromal stimulation gene signatures compared with their SOX11(-) counterpart

105 6, and ALDH1), and the metastasis-associated gene signature, compared to CSCs without knockdown of PA

106 Subclonal KRAS mutations and a gene signature consisting of PIK3CG, ATM, EPPK1, EP300,

107 tion in human cancers, while a FBXO44-immune gene signature correlated with improved immunotherapy re

108 une cells identified a core oxidative stress gene signature coupled to coagulation and glutathione-pa

109 The predominant gene signatures defining neuronal cell types reflect sha

110 The shared gene signatures demonstrate the biological pathways invo

111 d hundreds of unique, dynamic organ-specific gene signatures depending on the microenvironment in mou

112 A nine-gene signature, derived from the discovery cohort (Freib

113 Finally, a DNA repair gene signature discriminated sensitive from drug-resista

114 consensus vocabulary and a consistent set of gene signatures discriminating against the transcriptomi

115 we have shown that intrinsic and immune cell gene signatures distinguish the claudin-low subtype clin

116 A type I interferon (IFN) gene signature distinguished DMARD-naive patients who wi

117 ing of RUNX1-CRISPR-deleted cells revealed a gene signature dominated by extracellular matrix remodel

118 l role for T-bet in suppressing the immature gene signature during murine NK cell development.

119 a strong enrichment in inflammation-related gene signatures, elevated expression of pro-inflammatory

120 epithelial integrity and induced a specific gene signature enriched in genes associated with airway

121 I-restricted CD8+ T cells with an anti-viral gene signature expressed both CD4+ and CD8+ T cell linea

122 y to identification of robust cross-platform gene signature for disease classification of single-pati

123 Surprisingly, among HPV-negative cases, a gene signature for HPV status was predictive of survival

124 re used to design a NET-related inflammatory gene signature for human myeloid malignancies.

125 Importantly, a prospective five-gene signature for reversal reactions could predict reve

126 At the 3-d time point, we detected gene signatures for cell cycle regulation, inflammatory/

127 this study is to directly compare published gene signatures for diagnosis of patients with ATB acros

128 t not limited to, the evaluation of multiple gene signatures for potential clinical use as cancer bio

129 n a tumor, validation of clinically relevant gene signatures for prognostication has relied upon sing

130 Nasal gene signatures for severe persistent asthma and for mil

131 We found 16 gene signatures for the diagnosis of ATB compared to oth

132 Gene signatures from both cell types identified patients

133 Importantly, the investigation of gene signatures from inflammatory-CAFs and differentiate

134 two cohorts were compared with drug-induced gene signatures from the CLUE database to compute a conn

135 ne marrow revealed a 2-fold increase in cDC2 gene signature genes, and flow cytometry demonstrated in

136 inically and biologically relevant genes and gene signatures (GSs) measured by RNA sequencing to pred

137 and number of extranodal sites), prognostic gene signatures have recently shown promising efficacy.

138 esents challenges for extracting informative gene signatures hidden within a high dimensional transcr

139 luding a heterogeneous interferon-stimulated gene signature, HLA class II downregulation and a develo

140 RF-calculated gene signatures identified NASH patients in independent

141 A Proliferative subtype-associated gene signature identifies subjects with Proliferative PM

142 gnature (IFNPS) that approximates the IFN 21-gene signature (IFNGS).

143 An ITH-based gene signature improves single-biopsy patient survival p

144 We recommend testing the value of this gene signature in a prospective study that compares FCR

145 Although we observed an interferon gene signature in addition to downregulated neuritogenic

146 argeted expression assay, and validated this gene signature in an independent cohort.

147 s from patients with the epithelial TGF-beta gene signature in association with favorable prognosis.

148 MondoA activity and also drives a protective gene signature in breast cancer.

149 in rats and to subsequently examine the DEP gene signature in breast tissues (both pre-malignant and

150 AR-V7 expression correlated with a unique 59-gene signature in CRPC, including HOXB13, a critical cor

151 Furthermore, an RA-responsive gene signature in human monocytes correlates with an imm

152 Here we elucidate a temporally distinct gene signature in injury-activated microglia and macroph

153 o had a serine/glycine/one-carbon metabolism gene signature in liver that corresponded with reduced c

154 MP signaling maintained a trunk neural crest gene signature in melanomas.

155 oplasmic reticulum (ER) to Golgi trafficking gene signature in metastatic cells enhances transport ki

156 N treatment induced an interferon-stimulated gene signature in monocytes and increased HLA-DR, CD80,

157 and revealed a differentially overexpressed gene signature in MYCN nonamplified neuroblastomas with

158 We identified a 17-gene signature in peripheral blood that accurately diagn

159 Univariate analysis of this 107 DEP gene signature in pre-malignant breast tissues revealed

160 k between CXCL4 overexpression and the IFN-I-gene signature in SSc and outline a paradigm in which ch

161 We validated this gene signature in the CLL8 cohort; patients with an unfa

162 observed induction of a strong IL-17-related gene signature in the vagina during estrogen-dependent m

163 richment analysis revealed a distinct B cell gene signature in TST non-converters compared to convert

164 richment analysis revealed a distinct B-cell gene signature in TST nonconverters compared to converte

165 regulated in HCM iPSC-CMs, indicating an HCM gene signature in vitro.

166 ter hepatic epithelial cell-derived TGF-beta gene signatures in association with distinct clinical pr

167 ry with or without immobilization identifies gene signatures in mobile MPCs correlating with osteogen

168 Significant differentially enriched gene signatures in patients with adult-onset as compared

169 Furthermore, enriched macrophage gene signatures in published clinical samples correlate

170 ed the differential expression of the shared gene signatures in the placenta from an independent stud

171 ify a conserved Rgnef-supported anti-oxidant gene signature including Gpx4, Nqo1, and Gsta4; common t

172 equencing and proteomics data identified a 7-gene signature, including AURKA, KIF18B, PKMYT1, and ORC

173 g asparaginase exposure along with a hepatic gene signature indicating that asparaginase uniquely aff

174 (ILC1s) from natural killer (NK) cells is a gene signature indicative of 'imprinting' by cytokines o

175 enrichment was associated with enrichment of gene signatures induced by type I IFN and TNF irrespecti

176 Gene signatures induced in vitro by IL-17 and IL-13 in b

177 equent microarray analyses showed changes to gene signatures involved in the inflammatory response in

178 uced remission in the discovery cohort; this gene signature is also associated with response to anti-

179 MPBC-HGT1 as compared with cUC-HGT1 and a 26-gene signature is characteristic of MPBC within HGT1.

180 The intratumoral hypoxia gene-signature is a better prognostic indicator for dist

181 , we are able to quantitatively predict many gene signatures levels within individual tumors with hig

182 Forty-nine gene signatures (modules) for differentially stimulated

183 sulting model-associated adaptive resistance gene signature negatively correlated with GBM patient su

184 fied tumor subgroups based on protein-coding gene signatures, neither expression of long noncoding RN

185 An IL-6TS gene signature obtained from air-liquid interface cultur

186 The comparison between gene signatures obtained from the in vitro model (CS vs.

187 linical predictors, an antimicrobial peptide gene signature (odds ratio [OR] 0.57, 95% CI 0.39-0.81;

188 action indispensable for 77% of the induced gene signature of alternative polarization, including it

189 -HT(2B) engagement modifies the cytokine and gene signature of anti-inflammatory M-MO, upregulates th

190 The gene signature of blood-derived TAMs, but not microglial

191 Further, a gene signature of cytotoxic CD4(+) T cells in tumors pre

192 ranscriptomic profiling reveals the temporal gene signature of human mesenchymal stem cells during ch

193 Furthermore, a 33-gene signature of human orthologs was selectively enrich

194 These data suggest that a gene signature of IL-17 airway epithelial response disti

195 In this study, we seek to identify a gene signature of metastatic melanoma.

196 Our work characterizes the gene signature of PVEC and their important partnership w

197 re, we show that an experimentally validated gene signature of TLR activation is overexpressed in lym

198 enal TLS, and lymph nodes revealed a similar gene signature of TLS and lymph nodes.

199 Our goal was to move beyond gene signatures of asthma to identify master regulator g

200 Through expression analysis of the gene signatures of cardiac fibroblasts obtained from hea

201 In this study, we used gene signatures of CD40L stimulation derived from human

202 ell RNA sequencing (scRNA-seq) combined with gene signatures of cell cycle progression.

203 ve FABP4 transcripts closely correlated with gene signatures of CLEC10A and were associated with poor

204 We investigated gene signatures of macrophage subtypes in the sputum of

205 he phenotype, the effector function, and the gene signatures of memory CD8(+) T-cell populations asso

206 Novel marker genes and gene signatures of mesangial cells, vascular smooth musc

207 Gene signatures of oncogenic or metabolic pathways can f

208 tome analysis of GMPs revealed enrichment in gene signatures of self-renewal pathways, operating via

209 Patients with gene signatures of such clonotypic expansion respond bes

210 from sigQC can be used for the evaluation of gene signatures on large-scale gene expression datasets.

211 ll proportions, reference cell type-specific gene signatures, or marker genes for each cell type, whi

212 HIV infection and that type I IFN-associated gene signatures persist, even during ART.

213 ere identified and designated as progression gene signatures (PGSs).

214 Based on our results we propose gene-signature potencies as a novel valid alternative fo

215 Stem cell gene signatures predict poor prognosis in AML patients;

216 ung adenocarcinomas, the presence of the 425-gene signature predicted a significantly shorter surviva

217 Finally, 7 of 16 gene signatures predicted progression from LTBI to ATB 6

218 ncluding a medullary venous population whose gene signature predicts a selective role in myeloid cell

219 BI displayed polyfunctionality, the observed gene signature predominantly reflected the impact of IFN

220 The cell-type gene signatures provide the means to use computational m

221 Our biomarker gene signature provides high statistical accuracy and a

222 Gene signature quality was highly variable.

223 from different joint locations and that HOX gene signatures reflect the joint-specific origins of mo

224 A gene signature reflecting tumor cell-autonomous PADI4 in

225 Gene signatures reflecting the molecular heterogeneity o

226 a supervised learning classifier to identify gene signatures related to asthma severity.

227 These findings also showed that gene signatures related to KRAS dependency might be pros

228 ated by gene set variation analysis using 42 gene signatures relevant to asthma, inflammation, and im

229 ment of identified feature sets with curated gene signatures relevant to the investigated disease is

230 Across the whole series, several gene signatures representing HPV and microsatellite inst

231 ed were used to construct multiple non-joint gene signatures representing the same biological state.

232 man RMS diffusely demonstrates an FC lineage gene signature, revealing that RMS is a disease of FC li

233 A classifier, four key refractory gene signatures (RG4), trained based on the expression p

234 A-sequencing of mouse whole blood revealed a gene signature shared by the 4CMenB, OMV, and LPS groups

235 This PAK4-targeting gene signature showed prognostic significance for patien

236 Tumor deconvolution with subtype gene signatures shows that all of the subtypes are detec

237 gnificantly reduced levels of Th2-associated gene signatures (Slc26a4, Clca1, Retnla, and Chi3l4), al

238 Interestingly, synapse signaling-associated gene signatures (such as synaptotagmins) were commonly d

239 The application of gene signatures, such as the NDMT signature, offers pati

240 mmune cells after therapy treatment showed a gene signature suggestive of a change resulting from exp

241 Here, we aim to establish a gene signature that can identify molecular pathways/tran

242 lastic net regression analysis to identify a gene signature that can predict risk of cardiotoxicity.

243 rus-specific CD4(+) T cells, we identified a gene signature that distinguishes potential memory precu

244 Cross-species analyses revealed a PTEN gene signature that identified a group of aggressive pri

245 We have developed a robust, reproducible 17-gene signature that identifies a subset of treatment-nai

246 the existence of a PTEN/ARID4B/PIK3CA three-gene signature that improves the predictive power for pr

247 Transcriptomic analyses generated a Notch gene signature that included Notch pathway components, t

248 -Tg mice revealed a differentially expressed gene signature that includes upregulation of the suPAR r

249 use the data compendium to create the first gene signature that is prognostic in a meta-analysis acr

250 overcomes these limitations and identifies a gene signature that is reliable and reproducible across

251 has revealed a unique parotid gland-specific gene signature that may represent important players that

252 ute to metastatic competence and derive a 43-gene signature that predicts patient survival.

253 We identified and validated a 27-gene signature that resulted in the classification of GB

254 es identified 12 canonical pathways and a 47-gene signature that was both sensitive and specific for

255 In addition, in response to VOR exposure a gene signature that was conserved across single and seri

256 ow that FRCs normally expressed a unique PTA gene signature that was highly enriched for genes expres

257 Lgals3(+) population with a chondrocyte-like gene signature that was markedly reduced with SMC-Klf4 k

258 ulting classifiers were then used to develop gene signatures that best discriminate among immune cell

259 have allowed for a refined definition of the gene signatures that characterize these phenotypes and h

260 rs of prostate cancer progression, including gene signatures that correspond to the acquisition of tu

261 This study uncovers unique gene signatures that define tissue-specific identities o

262 ht share both peripheral blood and placental gene signatures that link these conditions together.

263 Our analysis identified gene signatures that vary in a coordinated manner across

264 ng downregulation of IFN-gamma and IFN-alpha gene signatures that were reversed by treatment with EZH

265 We demonstrate the utility of the NDMT gene signature to predict a unique subtype of HCC, which

266 BMP signaling in governing an embryonic cell gene signature to promote melanoma progression, thus pro

267 on framework integrated with drug-associated gene signatures to identify potential immunomodulatory d

268 ave linked gene expression of EMT-associated gene signatures to increased inflammatory immune respons

269 Perturbation of unique gene signatures uncovered specific functions associated

270 sed of a basal-like subtype with mesenchymal gene signatures, undifferentiated histopathology and wor

271 /CREB-dependent anti-inflammatory and repair gene signature via the receptor TLR2.

272 gs together multiple prognostically relevant gene signatures via convergence with (18)F-fluorocholine

273 In addition, the 3q gene signature was associated with better response to ne

274 T products indicated that a favorable T cell gene signature was associated with improved long-term su

275 tion were upregulated at diagnosis, and this gene signature was associated with stricturing in the ri

276 In the metastatic subpopulations, a gene signature was defined (MET-75) that predicted survi

277 The LDG gene signature was enriched in genes related to neutroph

278 A 97-gene signature was identified as an independent predicto

279 From this enrichment, a metastasis-derived gene signature was identified that predicted more rapid

280 The 3q gene signature was strongly associated with lung metasta

281 QFT, enrichment of Type I IFN and antiviral gene signatures was observed.

282 Using a specific KRAS-dependent gene signature, we implemented a computer-assisted inspe

283 expressed components of previously published gene signatures were evaluated for enrichment between tu

284 The severity and therapeutic response gene signatures were in turn associated with shifts in m

285 Significant improvements in AD gene signatures were observed predominantly in the 40- a

286 Literature-based gene signatures were used to evaluate the relative impac

287 ACE-2-correlated gene signatures were used to interrogate publicly availa

288 m (CD44s) positively associates with the CSC gene signatures, whereas the CD44 variant splice isoform

289 eveloped a potential reproducible prognostic gene signature which was able to robustly discriminate l

290 lpha function, we defined an XBP1s-dependent gene signature, which revealed significant IRE1alpha pat

291 e Expression Omnibus to identify a robust 85-gene signature, which was used for computational drug re

292 ale view of signaling changes represented by gene signatures, which in turn reflected the scope of mo

293 we sought to find a reproducible prognostic gene signature with a minimal number of genes.

294 g white matter, that shares a characteristic gene signature with degenerative disease-associated micr

295 In addition to sharing a gut-specific gene signature with memory IgA(+) B cells, memory IgM(+)

296 xposure also disrupted a unique low-dose BPA-gene signature with predictive value for survival outcom

297 CD8(+) Tfh cells share similar gene signatures with CD4(+) Tfh, and require CD40L/CD40

298 Our network models connect sparse gene signatures with corresponding, yet disparate, biolo

299 l resolution, we further identified specific gene signatures with distinct expression profiles in CTC

300 nce for the association of B-cell and T-cell gene signatures with gestational age, while the T-cell e