ライフサイエンスコーパス: gene expression pattern

1 sion show that iPSCs retain a donor-specific gene expression pattern.

2 ithin the renal medulla modulates a specific gene expression pattern.

3 lncRNAs) may reprogram cells by altering the gene expression pattern.

4 the identification of a laticifer-associated gene expression pattern.

5 nsists of several regions each with a unique gene expression pattern.

6 activating cofactors) were decisive for the gene expression pattern.

7 e respective promoter sequences support this gene-expression pattern.

8 alpha interplay reveals a geometry-dependent gene-expression pattern.

9 the intrahippocampal Purkinje cell protein 4 gene-expression pattern.

10 ound to be inadequate for capturing the TERT gene expression patterns.

11 me an increasingly affordable way to profile gene expression patterns.

12 egulators varies between cells and modulates gene expression patterns.

13 nine and previously published human PMN-MDSC gene expression patterns.

14 ing transcriptome-wide imputation of spatial gene expression patterns.

15 eby preserving cell viability and endogenous gene expression patterns.

16 n, morphogenesis, and dynamic spatiotemporal gene expression patterns.

17 hereby effectively 'freezing in' the in vivo gene expression patterns.

18 plant morphophysiological responses based on gene expression patterns.

19 mutations but reset leukemic DNA methylation/gene expression patterns.

20 ed with typical mutational, cytogenetic, and gene expression patterns.

21 strepton, reduced the chromosome instability gene expression patterns.

22 risk patients with advanced disease based on gene expression patterns.

23 that exhibited different condition-specific gene expression patterns.

24 expected to result in artifactual changes in gene expression patterns.

25 L), the genetic determinants of variation in gene expression patterns.

26 g of the fusion proteins leading to specific gene expression patterns.

27 P-1 cells (THP1-MPhi) have largely conserved gene expression patterns.

28 ined the resulting phenotypes and changes in gene expression patterns.

29 med a computational search for cell-specific gene expression patterns.

30 itous, germline, and somatic tissue-specific gene expression patterns.

31 the mapping between spatial positioning and gene expression patterns.

32 ockin intestines from mice and characterized gene expression patterns.

33 ilieu, and resulted in suppressed macrophage gene expression patterns.

34 stances to precisely regulate spatiotemporal gene expression patterns.

35 coupled Turing systems inspired by published gene expression patterns.

36 otypes, electrophysiological properties, and gene-expression patterns.

37 lidated computational predictions of spatial gene-expression patterns.

38 ators -NFkappaB (p65) and MKL and downstream gene-expression patterns.

39 onged treatment, modulated rejection-related gene-expression patterns.

40 subtypes; PAM50 subtypes, which are based on gene-expression patterns(10,11); and integrative or IntC

41 Although synthetic spatial gene expression patterns(14-17) have been explored under

42 We examine variation in this specific gene expression pattern across the whole brain, finding

43 show surprising similarities of the parasite gene expression patterns across infections, despite exte

44 ng techniques are limited to only exploiting gene expression patterns across multiple tissues either

45 This gene expression pattern agrees with uncoupled rates of t

46 of fibrosis, we used microarrays to analyze gene expression patterns among fibroblast populations at

47 We compared gene expression patterns among primary human gastric cel

48 Results demonstrated variation of gene expression patterns among species and a strong corr

49 e results were well correlated with the same gene expression pattern analysed in the thyroid tissue o

50 ronic liver inflammation caused loss of this gene expression pattern and development of fewer and sma

51 ovide insights into the role that changes in gene expression pattern and epigenetic mechanisms contri

52 We integrated data on baseline liver gene expression pattern and the MELD score to create the

53 elated with increased chromosome instability gene expression patterns and aneuploidy.

54 Hepatic gene expression patterns and bile acid composition were

55 x signals from the microenvironment regulate gene expression patterns and cell behavior.

56 group proteins are important for maintaining gene expression patterns and cell identity in metazoans.

57 an development requires coordination between gene expression patterns and cellular processes across d

58 e of how epigenetic dysregulation can affect gene expression patterns and drive disease development.

59 sociated with particular tissue or cell-type gene expression patterns and found that the basal gangli

60 Here, we analyzed ecdysone-related gene expression patterns and found that they were consis

61 derived from these areas, attending to their gene expression patterns and histogenesis.

62 low identifies four subtypes based on global gene expression patterns and ontologies.

63 ssue samples were collected and analyzed for gene expression patterns and phosphorylation of signalin

64 tigate these lincRNAs by phenotype for their gene expression patterns and potential functional mechan

65 Genes in each class have similar temporal gene expression patterns and share common transcription

66 nine different macaques had distinct MneHV7 gene expression patterns and that the overall number of

67 sing gene expression microarrays to identify gene expression patterns and the proteins isolated from

68 subcutaneous infections in mice and exhibit gene expression patterns and virulences distinct from th

69 m children with asthma would induce specific gene expression patterns and whether such patterns were

70 interferes with memory consolidation, alters gene expression patterns, and disrupts spine morphology.

71 es, characterization of phenotypes including gene expression patterns, and generation of human diseas

72 of the mating system correlated with neural gene expression patterns, and neural gene expression var

73 over regulatory rules for generating diverse gene expression patterns, and provide a tissue-specific

74 based approach to connect cells with similar gene-expression patterns, and learn informative, empiric

75 AP(S127A) mice had increased CIN25 and CIN70 gene expression patterns, aneuploidy, and defects in mit

76 Dehydrin gene expression patterns appeared to be a suitable marke

77 Since different gene expression patterns are believed to contribute to t

78 Mammalian gene expression patterns are controlled by regulatory el

79 enge in biology is to understand how complex gene expression patterns are encoded in the genome.

80 Precise gene expression patterns are established by transcriptio

81 In contrast, we found experimentally that gene expression patterns are highly robust.

82 Status-driven gene expression patterns are linked not only to social s

83 Complex gene expression patterns are mediated by the binding of

84 even in a unicellular organism, differential gene expression patterns are modulated by the relative o

85 handling and alterations in Ca(2+)-dependent gene expression patterns are pivotal characteristics of

86 Further, we demonstrate that basal gene expression patterns are predictive of changes in FO

87 Gene expression patterns are registered to these standar

88 nt, or in response to environmental stimuli, gene expression patterns are tightly regulated by the dy

89 general method for understanding how global gene-expression patterns are choreographed.

90 processes, including signal transduction and gene expression patterns, arising from specific oncogeno

91 Patients with pure DCIS have a different gene expression pattern as compared to patients with DCI

92 alpha(z) KO mice have a dramatically altered gene expression pattern as compared with WT HFD-fed mice

93 ed genes can diverge through tissue-specific gene expression patterns, as exemplified by highly regul

94 roach: to predict if a CRM drives a specific gene expression pattern, assess not only how similar the

95 Subtype 2 was characterized by a gene expression pattern associated with metabolic proces

96 cubated with the FFAR2 agonist no longer had gene expression patterns associated with activation or I

97 man transcriptome atlas to identify regional gene expression patterns associated with affected areas

98 r study demonstrated a variety of systematic gene expression patterns associated with BMI and thus pr

99 Agents that alter immune regulatory gene expression patterns associated with carcinogenesis

100 Neutrophil activity and gene expression patterns associated with cartilage damag

101 Gene expression patterns associated with chromosome inst

102 nd unbiased manner, the cell populations and gene expression patterns associated with disease.

103 on of Ifnb in wild-type B cells and distinct gene expression patterns associated with endogenous IFN-

104 In all cases, we discovered new gene expression patterns associated with histological st

105 actions between HNF4A and microbiota promote gene expression patterns associated with human inflammat

106 p junction communication in hDFC and induces gene expression patterns associated with osteogenic diff

107 We identified genetic alterations and gene expression patterns associated with response to the

108 rray and RNA-sequencing analyses to identify gene expression patterns associated with stretch.

109 e-learning methods can be trained to use the gene expression patterns associated with the text-derive

110 However, gene expression patterns associated with vaccine-induced

111 ad elevated TLR9 and PAX5, but not BLIMP1 (a gene-expression pattern associated with mature follicula

112 are also sufficient to explain the temporal gene expression pattern at the transcriptional level.

113 -supervised learning algorithm that predicts gene expression patterns based on enriched sequence feat

114 Comparisons of gene expression patterns between retained transcription

115 aches confined to fold-change comparisons of gene expression patterns between states of health and di

116 ferences were associated with differences in gene expression patterns between subjects in different c

117 Despite the different gene expression patterns between the seeds and carpels,

118 We used RNA-seq to compare gene expression patterns between wild-type and ATP7B-kno

119 monoubiquitination does not influence global gene expression patterns, but instead ensures selective

120 ofiles of 58 neocortical cells and show that gene expression patterns can be used to infer the morpho

121 We also searched for combinations of gene expression patterns, clinical factors, and laborato

122 he early stages of this symbiosis, including gene expression patterns consistent with biochemical str

123 croglial identity, as they exhibit signature gene expression patterns consistent with physiological h

124 To evaluate skin tissue gene expression patterns correctly, extracting sufficien

125 The dynamic gene expression pattern data reveal clear sex-related ch

126 that act at transcribed enhancers to dictate gene expression patterns determining growth outcomes, in

127 The observed RSV-induced gene expression patterns did not differ significantly in

128 bal transcriptome sequencing, we reveal that gene expression patterns diverge markedly in cells at th

129 no change in microcirculation inflammation, gene expression patterns, DSA levels, or kidney function

130 ng host genes exhibit dynamic epigenetic and gene expression patterns during development and between

131 -MYB83 regulatory system in finely balancing gene expression patterns during H. schachtii parasitism

132 factors and microRNAs establish and maintain gene expression patterns during hematopoiesis.

133 ignatures of breast cancer (based on complex gene expression patterns) enabled identification of seve

134 mouse in vivo environment recapitulated the gene expression pattern expected from human cells, not t

135 ur findings show the time course of changing gene expression patterns for multiple AKI stages and all

136 ured neurons differed markedly from that the gene expression patterns found previously using whole DR

137 The RSI algorithm is designed to extract gene expression patterns from basal transcriptomic data

138 sis with chronic stress did not reflect well gene expression patterns from humans with community-acqu

139 was developed from computational analysis of gene expression patterns from implant biopsies that coul

140 Analysis of gene expression patterns from intestinal tissues of EED

141 While gene expression patterns from most cell subsets display

142 The liver tissues with the ICF gene expression pattern had 3 different features: increa

143 In aneuploid budding yeast, two opposing gene-expression patterns have been reported: the "enviro

144 racy of clustering analysis and can discover gene expression patterns hidden by noise.

145 Comparisons of gene expression patterns identified correspondences of d

146 We found the ICF gene expression pattern in 50% of liver tissues from pat

147 pirin and clopidogrel down-regulated the ICF gene expression pattern in liver and developed fewer and

148 We identified an immune-related gene expression pattern in liver tissues of patients wit

149 We identified a gene expression pattern in rectal tissues of patients wi

150 The gene expression pattern in the cryptal mesenchymal cells

151 he molecular biology of a unique coordinated gene expression pattern in which cell architecture is ma

152 y microbial sequences and characterize human gene expression patterns in 30 human brain biopsy specim

153 n tomography to rapidly image brain-specific gene expression patterns in 3D at cellular resolution.

154 xperimental morphologies together with their gene expression patterns in a centralized standardized d

155 ent, and their neighborhoods correlated with gene expression patterns in a predictable manner.

156 cell RNA-seq to globally define the altered gene expression patterns in all developing uterus cell t

157 lustering method was used to identify immune gene expression patterns in blood over time points (befo

158 or recent TB exposure, we determined whether gene expression patterns in blood RNA correlated with ti

159 of epigenetic modifications in pathological gene expression patterns in CCC patients' myocardium.

160 We identify distinct gene expression patterns in cells that experienced intra

161 Here, we use gene expression patterns in combination with weighted ge

162 Here, we examine global gene expression patterns in corals and their intracellul

163 We further integrated our inferred GRN with gene expression patterns in different seed compartments

164 Here, we characterize gene expression patterns in distinct neural cell types o

165 Exploring gene expression patterns in DN3 cells from Wt and Arid1a

166 enzyme extended to translation fidelity and gene expression patterns in DNA damage response pathways

167 fications for dynamics that can map specific gene expression patterns in early development onto speci

168 ion failed to drive erythroid phenotypes and gene expression patterns in GATA1 knockout cells.

169 ression in this canine model correspond with gene expression patterns in human breast tissues.

170 Moreover, we identified distinctive gene expression patterns in human urine as potential bio

171 nin against gamma radiation, and the general gene expression patterns in irradiated cells were indepe

172 We investigated immune-related gene expression patterns in liver tissues surrounding ea

173 We compared global gene expression patterns in livers from wildtype, Gcn2 (

174 nsionality reduction is necessary to capture gene expression patterns in low-dimensional space.

175 changes, we observed shortened and condensed gene expression patterns in mouse pluripotent stem cells

176 there were no fundamental differences in the gene expression patterns in multibacillary and paucibaci

177 ipheral blood leukocyte levels/responses and gene expression patterns in nasal cells were largely con

178 ia NOTCH 1, NOTCH2, and NOTCH3 and resulting gene expression patterns in parental and NOTCH1-expressi

179 ationships between these four conditions and gene expression patterns in peripheral blood obtained at

180 de and curate the morphological outcomes and gene expression patterns in planaria.

181 eraction, transcription factor occupancy and gene expression patterns in purified leukemic blast cell

182 Glia also alter gene expression patterns in response to axonal injury bu

183 Chromatin accessibility, TF binding, and gene expression patterns in resting and activated subset

184 ngs provide insights into cell-type-specific gene expression patterns in the developing human cortex

185 The comparison of gene expression patterns in the embryonic brain of mouse

186 examination of mRNA transcript abundance and gene expression patterns in the internal organs of decea

187 r proximity response, we separately analyzed gene expression patterns in the major light-sensing orga

188 ellum and hippocampus, characterized spatial gene expression patterns in the Purkinje layer of mouse

189 ray analysis revealed significant changes in gene expression patterns in the stroma in response to HP

190 study corroborates shared features of early gene expression patterns in the thalamus between Xenopus

191 make a strong case that the preservation of gene expression patterns in the wake of extensive rewiri

192 we used mRNA-seq to identify differences in gene expression patterns in these same populations, usin

193 ges in quality of life (QoL), and changes in gene expression patterns in TM.

194 as a powerful methodology to quantify global gene expression patterns in various contexts from single

195 DNA methylation is pivotal in orchestrating gene expression patterns in various mammalian biological

196 or otherwise affect known disease-associated gene expression patterns in whole animals may be rapidly

197 hormones, specialized metabolites and global gene expression patterns, in combination with heterologo

198 platforms displayed a strong correlation in gene expression patterns, including a strong induction o

199 o and reestablished leukemic DNA methylation/gene expression patterns, including an aberrant MLL sign

200 on medicine paradigm, wherein a biomarker or gene expression pattern indicates a patient's likelihood

201 after immunotherapy was also associated with gene expression patterns indicative of cell-mediated act

202 nstrate an important role of RGS4 actions in gene expression patterns induced by chronic pain states

203 To compare gene expression patterns involved in maize endosperm cel

204 Surprisingly, a relatively constrained gene expression pattern is observed in brain compared wi

205 Formalizing spatial phenotypes and gene expression patterns is especially challenging in or

206 The ability to rapidly change gene expression patterns is essential for differentiatio

207 ression to stimulate a common protumorigenic gene expression pattern leading to anoikis resistance an

208 cumulation of epigenetic noise that disrupts gene expression patterns, leading to decreases in tissue

209 ate phosphoribosyltransferase also displayed gene expression patterns linked to mitochondrial dysfunc

210 tory elements that govern novel aspects of a gene expression pattern [M.

211 Changes in gene-expression patterns mediated by FZD3 activity occur

212 and immune signaling pathways and maintained gene expression patterns normally decreased by castratio

213 Anti-miR-17 treatment recapitulated the gene expression pattern observed after miR-17~92 genetic

214 ibutions of these moieties were in line with gene expression patterns observed during wing imaginal d

215 These similarities contrast with the unique gene expression patterns observed in sporozoites isolate

216 We identified a gene expression pattern of 14 mRNAs associated with shor

217 ity of FGF19 only in tumor cells that kept a gene expression pattern of hepatocyte differentiation.

218 We then analyzed the gene expression pattern of inflammatory cells in HCC tum

219 We studied the neural gene expression pattern of LIMK-1, cofilin-1, and beta-a

220 onstrated a non-selective and multi-cellular gene expression pattern of TSPO at basal conditions in t

221 Here, we studied the unique gene expression patterns of 31 different breast cancer c

222 rdiomyocyte differentiation, we analyzed the gene expression patterns of 96 developmental genes at si

223 Moreover, transcriptome analyses to compare gene expression patterns of astrocyte harboring active v

224 the genome-wide nuclear DNA methylation and gene expression patterns of brain tissue.

225 Gene expression patterns of CD8(+) T cells have been rep

226 Here we compared gene expression patterns of CSF cells from MS-discordant

227 Here we compared the global gene expression patterns of CTBs from PAS cases to gesta

228 ing these caste differences, we compared the gene expression patterns of MGs from queens, queenright

229 ther, our analyses provide insights into the gene expression patterns of SARS-CoV-2-reactive CD4(+) T

230 We investigated the gene expression patterns of skeletal muscle cells using

231 ells revealed significant differences in the gene expression patterns of the 4 subsets defined by GFP

232 ated in a time-dependent manner with spatial gene expression patterns of the 5-HT(2A) (5-hydroxytrypt

233 relationship between personal expression and gene expression, patterns of natural language use may pr

234 ed the effects of co-occurring mutations and gene- expression patterns on drug sensitivity, providing

235 sient, and sustained, can result in distinct gene expression patterns or cell fates.

236 nge of human cancers, causing alterations in gene expression patterns, proliferation and DNA damage r

237 Moreover, they demonstrate that gene expression patterns reflecting the cellular hierarc

238 d Tfh cells in vitro, and possessed a unique gene expression pattern related to Tfh and Th2 cells.

239 to platinum drugs, in large part by altering gene expression patterns related to DNA repair and immun

240 Changes in gene expression patterns represent an essential source o

241 cyte inflammatory vigor and uncovers dormant gene expression patterns resembling inflammatory myeloid

242 We assessed their architecture, mutation and gene expression patterns, response to compounds in cultu

243 Tumors that overexpressed IGF2 had gene expression patterns significantly associated with h

244 -infected cells displayed a plasma cell-like gene expression pattern similar to PELs.

245 zes beta-catenin) resulted in organoids with gene expression patterns similar to developing human duo

246 Gene expression patterns specific for maturation were mi

247 Gene expression patterns, such as those of Nurr1/Nr4a2,

248 The distinct gene expression patterns suggest that although the 4 inh

249 s show marked differences in circadian clock gene expression patterns, suggesting fundamental deviati

250 Phylogenetic inference and different gene expression patterns support functional divergence o

251 with the cpIAP gene resulted in a different gene expression pattern than in either LAT(+) or LAT(-)

252 infants with cholestasis, we identified a 14-gene expression pattern that associated with transplant-

253 ern, compared with control tissue, but had a gene expression pattern that indicated immune cell infil

254 enitors display a distinct, ontogeny-related gene expression pattern that is not seen in adult PrePro

255 least squares analysis to find the weighted gene expression pattern that was most colocated with the

256 PV had both similar and distinct protein and gene expression patterns that are related to their inher

257 tion (STAT) proteins, leads to inappropriate gene expression patterns that can promote tumor initiati

258 Ca(2+)-transcription coupling controls gene expression patterns that define vascular smooth mus

259 shared functional abnormalities and altered gene expression patterns that differed from those in unu

260 c activity is the ability of MYC to regulate gene expression patterns that drive and maintain the mal

261 ls three developmental windows with specific gene expression patterns that informed the sequential em

262 These phenotypes arise from abnormal gene expression patterns that reflect defective kinase s

263 When comparing gene expression patterns that were shared between the tw

264 Together with their distinct gene expression patterns, this differential accumulation

265 ive function of SME1 in ensuring appropriate gene expression patterns through the regulation of speci

266 eveals that the LB-like tissues show similar gene expression pattern to that seen in LBs.

267 We investigated T-cell gene expression patterns to determine the mechanisms by

268 al organismal development and maintenance of gene expression patterns to uphold cell identity.

269 eir function is integrated to produce robust gene expression patterns to variations in the dorsal mat

270 DC subsets, functions, hematopoietic origin, gene expression patterns, transcription factors critical

271 f immune cells, tissue-specific markers, and gene expression patterns typically associated with germi

272 s provide a high-quality resource of altered gene expression patterns under severe OXPHOS deficiency

273 individuals to understand various systematic gene expression patterns underlying BMI.

274 fied, suggesting the existence of high-order gene expression patterns underlying BMI.

275 NA-sequencing analyses revealed differential gene expression patterns unique to infiltrating and resi

276 ting transcription factor 4 (ATF4), modifies gene expression patterns upon T. gondii infection.

277 In addition, abrB gene expression patterns varied significantly between co

278 Cell proliferation was examined, gene expression pattern was profiled by genome-wide micr

279 In comparisons of EAC gene expression patterns, we associated high expression

280 whole-exome sequences and neurodevelopmental gene expression patterns, we identified a subgroup of pa

281 By further analyzing changes in cellular gene expression patterns, we identified the IL-1 recepto

282 Gene expression patterns were analyzed by microarrays an

283 Gene expression patterns were compared with curated data

284 Gene expression patterns were determined using microarra

285 iants associated with deviations from normal gene expression patterns were identified by expression q

286 Cytokines, chemokines, and gene expression patterns were measured by flow cytometry

287 the major site of expression but individual gene expression patterns were not conserved between the

288 Robust bacteria-associated gene expression patterns were significantly associated w

289 ng terminal repeats (LTRs) revealed that the gene expression patterns were similar and that the activ

290 wth by inducing an early myogenesis -related gene expression pattern which includes myogenin and Myf5

291 from these hiPSCs identified alterations in gene expression patterns which precede morphological abn

292 vide a means for evolutionary propagation of gene-expression patterns while simultaneously maintainin

293 asticity involves a precise orchestration of gene expression patterns whose transcriptional regulator

294 public databases to identify correlations in gene expression pattern with patient outcomes.

295 form PMN-MDSCs; 3) tumor-derived GPs shared gene expression patterns with IRF8(-/-) GPs, suggesting

296 Combining differential gene expression patterns with reported GO function terms

297 We compared gene expression patterns with those of liver tissues fro

298 3 cells and found significant differences in gene-expression patterns, with activation of genes invol

299 Recent work has shown that gene-expression patterns within the mTEC compartment are

300 provided increasingly detailed knowledge of gene expression patterns, yet the different regulatory a