ライフサイエンスコーパス: gene expression level

1 s non-negligible noise, which increases with gene expression level.

2 cible yeast promoter and measured downstream gene expression level.

3 promoters and that turnover correlates with gene expression level.

4 CNSs and alpha-pair co-functionality at the gene expression level.

5 whilst no association was detectable at the gene expression level.

6 id not restore full agonist responses at the gene expression level.

7 ppress ethanol-mediated induction of lipin-1 gene-expression level.

8 through changes both in protein sequence and gene expression levels.

9 g IU/L, which were inversely correlated with gene expression levels.

10 , roughly on a par with variants that affect gene expression levels.

11 ntial downstream effects, such as changes in gene expression levels.

12 onstrate how an HPT variation can affect the gene expression levels.

13 density lipoprotein and elevated antioxidant gene expression levels.

14 provides powerful estimators for evaluating gene expression levels.

15 tion pathway genes corresponded to decreased gene expression levels.

16 at associate with both chronological age and gene expression levels.

17 exons that may function directly to control gene expression levels.

18 ection to maintain or fine-tune steady-state gene expression levels.

19 ubH2A levels, and positively correlates with gene expression levels.

20 el exon-exon junctions and quantification of gene expression levels.

21 the environment, and in natural variation of gene expression levels.

22 codons, alter transcript splicing, or alter gene expression levels.

23 osphorylation of mTOR and p70 S6K and matrix gene expression levels.

24 governing the relationship between 5-hmC and gene expression levels.

25 se chain reaction was performed to determine gene expression levels.

26 ccompanied by a substantial change in global gene expression levels.

27 d two European samples for associations with gene expression levels.

28 ty and divergence of both gene sequences and gene expression levels.

29 lancing function through moderate effects on gene expression levels.

30 related with RNA polymerase II occupancy and gene expression levels.

31 ble properties such as cell cycle length and gene expression levels.

32 pathway activities may be reflected through gene expression levels.

33 on these phenotypes in relation to foraging gene expression levels.

34 in SR-BI(-/-) embryos and normalized ROS and gene expression levels.

35 ological studies, assessment of protein, and gene expression levels.

36 UMI counts are not an unbiased estimator of gene expression levels.

37 orter gene assays confirmed that they affect gene expression levels.

38 ly measured in sample-sample correlations of gene expression levels.

39 each other via chromatin folding and affect gene expression levels.

40 ify associations between smoking and altered gene expression levels.

41 internal) and another subsystem's (external) gene expression levels.

42 rray are two main technologies for profiling gene expression levels.

43 scription factor and DNA and consequently on gene-expression levels.

44 is and is modulated by stress conditions and gene-expression levels.

45 and is significantly correlated with higher gene expression level, a phenomenon also found in rice b

46 Here we describe genetic effects on gene expression levels across 44 human tissues.

47 a pathway based on the relative rankings of gene expression levels across a set of reference samples

48 x) project aims to characterize variation in gene expression levels across individuals and diverse ti

49 e attributed to maintained type I interferon gene expression levels after treatment.

50 ng interactions between two stressors at the gene-expression level against the independent action bas

51 ever, the transcriptome is more complex than gene expression levels alone, as alternative splicing an

52 mpared with that detected through the use of gene expression levels alone.

53 ntity of a distantly related photophore from gene expression levels alone.

54 The lack of LMO2 resulted in altered gene expression levels already at the haemangioblast sta

55 art site allows for specific and sustainable gene-expression level alterations in tumor cells in vitr

56 Gene expression levels altered by Pg LPS were determined

57 erstand how these factors affect the average gene expression level among a population.

58 pecific polyTE insertion genotypes to B cell gene expression levels among 445 individuals from 5 huma

59 We applied linear mixed models (LMM) to the gene expression level and constructed likelihood ratio t

60 The correlated gene expression level and gene ontology analyses showed

61 level) that considers the dependence between gene expression level and its variance (dispersion) and

62 rating whole blood TCR gamma constant region gene expression levels and age and sex (R(2)=0.12, P<1x1

63 phorylation, alongside reduction in absolute gene expression levels and cell size.

64 TCR gamma constant region gene expression levels and clinical data of a whole bloo

65 nucleosome organization that correlate with gene expression levels and colocalize with functional DN

66 Distinct correlations were observed between gene expression levels and cytosine modifications in pro

67 r protein domain composition, correlation to gene expression levels and developmental integration to

68 associating transcription factor (TF)-target gene expression levels and estimating TFs' activity, and

69 nt associations between genetic variants and gene expression levels and found that the network struct

70 s into the evolutionary pressures that shape gene expression levels and have developed an appreciatio

71 of posttranscriptional regulators determine gene expression levels and how dysregulation of 3' UTR-m

72 BER gene expression levels and IFN treatment responses were

73 genome-wide method capable of capturing both gene expression levels and isoform diversity at the sing

74 e used to determine differences in apoptotic gene expression levels and multiplex ligation-dependent

75 oach allows TREs to be assayed together with gene expression levels and other transcriptional feature

76 oops act as molecular rheostats to fine-tune gene expression levels and physical responses.

77 th MDS to determine the relationship between gene expression levels and prognosis.

78 e ones with multiple isoforms, and robust to gene expression levels and removal of homologous gene pa

79 ch was associated with an increase of KLOTHO gene expression levels and serum KLOTHO concentrations.

80 The relationships between gene expression levels and sputum cell differentials or

81 g frame altering genomic variants can impact gene expression levels and the structure of protein prod

82 within a genome does not uniquely determine gene expression levels and their variability; rather, pr

83 Vertex-wise maps of the association between gene expression levels and thickness across the cortex s

84 60 loci in 48 samples independently of their gene expression levels and to accurately and cost-effect

85 n proven to convey crucial information about gene expression levels and to play an important role in

86 n; and showed the lowest metastasis-specific gene expression levels and TP53 mutation rates.

87 modynamic-like framework for the analysis of gene-expression levels and networks and their variations

88 ficant alterations in DNA copy numbers (CN), gene expression levels, and DNA methylation profiles.

89 integration of high-throughput data, such as gene expression levels, and for condition-specific inves

90 r primary cilia, exhibits location-dependent gene expression levels, and genetic ablation of ACIII dr

91 st to variation in imaging parameters and in gene expression levels, and reported voltage with an abs

92 the 5' and 3' ends of genes, associated with gene expression levels, and significantly overlapped wit

93 heritable genetic factors influence SERPING1 gene expression levels, and that these associations are

94 immune cell proportions, cell type-specific gene expression levels, and the gene expression response

95 ve trait loci (eQTL) studies investigate how gene expression levels are affected by DNA variants.

96 which genome-wide genotypes and estimates of gene expression levels are also available.

97 Compared with the noncore, core gene expression levels are also similar across genetic b

98 number-related TCR-alpha LCR-linked reporter gene expression levels are cell type restricted in this

99 Gene expression levels are determined by the balance bet

100 se results are compatible with a model where gene expression levels are modulated by the levels of th

101 The highest gene expression levels are often achieved through a nove

102 posite effects, suggesting that steady-state gene expression levels are subject to pervasive stabiliz

103 Gene expression levels are thought to diverge primarily

104 f expression quantitative loci (eQTL) (where gene expression levels are viewed as quantitative traits

105 Genetic variants affecting gene-expression levels are a major source of phenotypic

106 target pairs (for example drugs which change gene expression level) are also identified but not as st

107 contrast, molecular phenotype data, such as gene expression levels, are generally assumed to be free

108 ci (eQTLs), genetic variants associated with gene expression levels, are identified in eQTL mapping s

109 d downregulation of protein synthesis at the gene expression level as well as increased proteolysis.

110 tative relationship between miRNA and target gene expression levels as a function of parameters, incl

111 use the regulatory network to predict target gene expression levels as a function of TF expression, a

112 ity levels were correlated to the respective gene expression levels as well as to the respective rece

113 eq) can be used to characterize variation in gene expression levels at high resolution.

114 Gene expression levels at HPV integration sites were sta

115 gulatory regions is likely to also influence gene expression levels at these loci.

116 hnical noise and explicitly compute the true gene expression levels based on spike-in ERCC molecules.

117 ysis of chromosomal aberrations by comparing gene expression levels between normal and aneuploid samp

118 s the question to what drives differences in gene expression levels between subgenomes.

119 lly, we find in all three organisms that the gene-expression levels, both coding and non-coding, can

120 Most of these studies focused on the mean of gene expression level, but not the variance of gene expr

121 ays to overcome limitations of transient/low gene expression levels, but also highlights the fact tha

122 Therefore, exogenous control of gene expression levels by administration of a nontoxic i

123 ds were subjected to pHT 7.9 for 3 days, and gene expression levels, calcification and respiration ra

124 data suggest that cells with high basal Oas gene expression levels can activate RNase L and thereby

125 Gene expression levels can be an important link DNA betw

126 Here, we describe how gene expression levels can be efficiently acquired with

127 Gene expression levels can be subject to selection.

128 Within any given tissue, gene expression levels can vary extensively among indivi

129 o gene modules by simultaneously considering gene expression level changes and gene-gene co-regulatio

130 ross individuals and cell types by measuring gene expression levels, chromatin accessibility, and DNA

131 By studying the genetic variation affecting gene expression levels (cis expression quantitative trai

132 Osteoblastic gene expression levels confirmed a defect of Postn(-/-)

133 emonstrate that mammalian cells modify ORMDL genes expression levels coordinately to regulate the de

134 Target gene expression levels correlate with promoter binding s

135 Gene expression levels correlated with deletion status:

136 Following the suppression of recombination, gene expression levels decline on the sex-limited chromo

137 l, evaluated the association of pretreatment gene expression levels defined using RNA sequencing with

138 We found that gene expression level depends on the occupancy of the no

139 eotide polymorphisms, copy number variation, gene expression levels, DNA methylation and proteomic pr

140 Prediction of gene expression levels driven by regulatory sequences is

141 primarily focused on sources of noise at the gene expression level due to limitations of existing noi

142 gene translocation can modulate constitutive gene expression levels due to changes in chromosome posi

143 orrelated with an increase in IFN-stimulated gene expression levels during HEV replication.

144 Gene expression level dysregulation was confirmed for ei

145 lationship between histone modifications and gene expression levels either failed to capture combinat

146 nificantly associated with both variation in gene expression levels (eSNPs) and asthma risk.

147 or transcription initiation and termination, gene expression levels estimated based on RNA-seq data a

148 strongly associated with variations in brain gene expression levels (expression quantitative loci, or

149 highly correlated at the DNA methylation and gene expression levels, featuring ectopic expression of

150 We find that local genetic variation affects gene expression levels for the majority of genes, and we

151 There was a transitional increase in Gli-1/2 gene expression levels from DP, DN to TS subpopulations,

152 Prediction of gene expression levels from regulatory sequences is one

153 Differences in reporter gene expression levels from the NP and GPC loci were con

154 as correlated with that of IL6R, we analyzed gene expression levels generated for 373 human lymphobla

155 Both gene expression levels (GEs) and copy number alterations

156 as, protein abundance, protein function, and gene expression level, have been shown to affect the rat

157 ne expression level, but not the variance of gene expression level (i.e., gene expression variability

158 east three possible scenarios: (a) The total gene expression level in a polyploid is similar to that

159 ommonly altered at both gene copy number and gene expression level in cancer cells.

160 n the phloroglucinol content and the PKS III gene expression level in cells of a strain of Ectocarpus

161 th early-onset bipolar disorder and a higher gene expression level in human prefrontal cortex.

162 clein induces more pronounced changes at the gene expression level in mouse primary dopamine (DA) neu

163 this pilot study assessed whether the alpha7 gene expression level in septic patients' peripheral blo

164 ning the epigenetic effect of the changes in gene expression level in the F1 hybrids showed that the

165 rong similarity between sJIA and CAPS at the gene expression level in which several genes that form a

166 he genotype combinations of the two SNPs and gene expression levels in 13 areas of human central nerv

167 s by correlating genotype with RNA-seq-based gene expression levels in 96 human kidney samples.

168 cis-regulatory mutations that down-regulate gene expression levels in a pathogenic yeast.

169 adiposity through a CNV association study of gene expression levels in adipose tissue.

170 we examined the associations between SES and gene expression levels in adulthood, with particular foc

171 ic variability is associated to variation in gene expression levels in an ovarian cancer sample, and

172 strate significant variations in isoform and gene expression levels in anatomically different muscles

173 significant SNPs, three are associated with gene expression levels in both primary B-cells and monoc

174 hment of functional variants associated with gene expression levels in brain regions.

175 type, mixed lymphocyte reactivity, and Foxp3 gene expression levels in CD4(+) T cells, and did not un

176 NA-seq) is a powerful approach for measuring gene expression levels in cells and tissues, but it reli

177 mplex, and comparison of chromatin marks and gene expression levels in control and REST-deficient ste

178 n Tdp-43 target genes as well as genome-wide gene expression levels in different tissues that indicat

179 ity is differentially recruited to fine-tune gene expression levels in each cardiac chamber.

180 loci that were associated with variation in gene expression levels in either untreated or MTB-infect

181 lum tricornutum at the cell, metabolite, and gene expression levels in exponential fed-batch cultures

182 ng the periimplantation period determined by gene expression levels in extraembryonic tissues and the

183 erse correlations between the most perturbed gene expression levels in human cancer tissue and the mo

184 Human gene expression levels in humanized mouse livers were an

185 We measured gene expression levels in infected and non-infected cell

186 statin exposure on genetic associations with gene expression levels in lymphoblastoid cell lines deri

187 ructed statistical models to relate these to gene expression levels in mouse embryonic stem cells.

188 effective network can predict time-dependent gene expression levels in other mutants.

189 MS4A1 gene expression levels in PBMC were comparable between p

190 ack and feedforward circuits that fine-tuned gene expression levels in response to DNA damage to perm

191 uncover novel cell-to-cell heterogeneity in gene expression levels in seemingly homogeneous populati

192 erved across species; associated with strong gene expression levels in testes; and overrepresented on

193 rprising power to detect, genetic effects on gene expression levels in the baboons.

194 Lastly, we trained a classifier based on the gene expression levels in the non-infected cells, and de

195 array data set examining changes in cellular gene expression levels in the presence of KSHV miRNAs.

196 Gene expression levels in the tissues and in HGFs were a

197 s without bioinformatics background to query gene expression levels in these data sets and compare ge

198 Consequently, it is now possible to study gene expression levels in thousands of cells from the sa

199 A binding specificities and predicts precise gene expression levels in varying cellular contexts.

200 s of DNaseI hypersensitivity and genome-wide gene-expression levels in 20 diverse human cell types.

201 F binding and HMs are highly 'predictive' of gene expression levels (in a statistical, but perhaps no

202 ve greatly increased our ability to identify gene expression levels, including at specific developmen

203 ological organization, higher liver-specific gene expression levels, increased metabolic product secr

204 dy, we determined these effects by comparing gene expression levels induced in the presence and in th

205 This study reveals that the PBMC alpha7 gene expression level is a clinically relevant marker fo

206 NA folding strength and d(N)/d(S), even when gene expression level is controlled.

207 tedly, we found that in addition to TG2, TG1 gene expression level is significantly induced following

208 Evolutionary constraint in gene expression levels is not reflected in the conservat

209 nce between condition-specific variances) of gene expression levels is simply neglected or calibrated

210 ng that compensatory regulation to stabilize gene expression levels is widespread.

211 Although several SCNAs are known to change gene expression levels, it is not clear whether each ind

212 ations are generally correlated with overall gene expression levels, it remains unclear how histone m

213 leotide polymorphisms (SNPs) associated with gene expression levels, known as expression quantitative

214 We also document thousands of shifts in gene-expression level, many of which resulted from chang

215 taset of somatic copy-number alterations and gene expression levels measured in glioblastoma samples

216 In a cohort of 846 individuals with 7,339 gene expression levels measured in peripheral blood, we

217 ion response to WD also was reflected in the gene expression levels (most notably those of NDL1, CHAL

218 Cell-to-cell variation in gene expression levels (noise) generates phenotypic dive

219 approach to filter interaction data based on gene expression levels normalized across tissues or deve

220 Additionally, gene expression level of anti-apoptotic genes BCL2 and B

221 ta, IL-6, and IL-8) across stimuli, a higher gene expression level of TLR2 (P = .02) and TLR9 (P = .0

222 Gene expression levels of a variety of host defense gene

223 Subsequently, the gene expression levels of all these theoretically identi

224 Using deep sequencing, gene expression levels of all transcripts including nove

225 The gene expression levels of an NF-kappaB-associated import

226 -genotypes exhibited distinct differences in gene expression levels of capsule and attachment genes c

227 Gene expression levels of CLCA1 and periostin, but not S

228 In this postmortem study, we measured gene expression levels of eight CCL checkpoint proteins

229 Changes in gene expression levels of glutamate and GABA receptor su

230 t N=51 women using first trimester antenatal gene expression levels of HP1BP3 and TTC9B, with an area

231 Users can compare gene expression levels of IBS patients across these tiss

232 was isolated from the paraffin material, and gene expression levels of IL-32 alpha, beta, and gamma i

233 Strikingly, the gene expression levels of inflammatory monocytes dramati

234 ndividuals, potentially through an effect on gene expression levels of MYOZ1.

235 Gene expression levels of P. falciparum invasion ligands

236 Furthermore, the gene expression levels of several cytokines differed bet

237 Gene expression levels of several genes were altered dur

238 Gene expression levels of soluble RANKL, osteoprotegerin

239 ng markers for immunologic unresponsiveness, gene expression levels of TCL1A and CD79B may also ident

240 verexpressing miR-27b showed decreased viral gene expression levels of the HIV-1 reporter virus and a

241 ascular disease, risk factor phenotypes, and gene expression levels of the protein-coding genes CDKN2

242 The gene expression levels of the receptor were evaluated by

243 In addition to IL-27, gene expression levels of the specific IL-27 receptor (I

244 Moreover, the gene expression levels of the three susceptible loci wer

245 fferent growth conditions, bringing together gene expression levels of the triacylglycerol biosynthes

246 Our results implicate a threshold effect of gene expression level on photoreceptor function and surv

247 S single nucleotide polymorphisms (SNPs) and gene expression levels on clinical and pathological meas

248 n amplitude are due to individual changes in gene expression level or to a change in coherence of the

249 es that incrementally and predictably sample gene expression levels over a 1,000-fold range.

250 oth at the DNA copy number (P<0.001) and RNA gene expression level (P<0.001).

251 sociation between the SNP rs3931020 and CRYZ gene expression levels (P = 3.68 x 10(-7)).

252 Genetic variants that modulate gene expression levels play an important role in the eti

253 The inability to predict heterologous gene expression levels precisely hinders our ability to

254 eotide polymorphisms) and quantitative (i.e. gene expression levels) predictor variables to generate

255 This work demonstrates that elevated gene expression levels, proposed to be associated with A

256 s starting from raw paired-end RNA-seq data: gene expression levels, quality metrics, detection of un

257 different AML mouse models with reduced GFI1 gene expression levels revealed a direct link between lo

258 tion of the magnitude of DE, distribution of gene expression level, sequencing coverage and the choic

259 S/MAR-containing plasmid exhibited reporter gene expression levels several fold higher than plasmid

260 iation together with histone methylation and gene expression levels showed that histoneQTLs are an im

261 itively (facilitative sites) correlated with gene expression levels significantly co-localized with t

262 sis and beta-oxidation were repressed at the gene-expression level (sterol regulatory element-binding

263 ed, an oscillatory TF is predicted to induce gene expression levels that are distinct from a nonoscil

264 ress and strain structures within cells into gene expression levels that impact development, homeosta

265 attacks and a specific attack using outlier gene expression levels that is simple yet accurate.

266 lex organs but also the evolution of overall gene expression levels that underlie them.

267 antial gene activation and allowed tuning of gene expression levels that will broadly enable syntheti

268 upt secondary structural elements may reduce gene expression levels, thereby serving as a functional

269 that these isoforms differentially regulate gene expression levels through two mechanisms: different

270 ed P. infestans models, and investigated the gene expression levels throughout the course of P. infes

271 differences in both dominant and minor vlhA gene expression levels throughout the first week of infe

272 losphaera yellowstonensis organisms and mRNA gene expression levels to Fe(II)-oxidizing habitats show

273 e a correlation between gene copy number and gene expression level (transcript abundance), but this h

274 However, the extent to which overall gene expression levels (transcriptomes) underlying conve

275 tween polymorphic TE (polyTE) loci and human gene expression levels using an expression quantitative

276 ional changes affecting steady-state overall gene expression levels using microarray based approaches

277 RNA interference (RNAi) for controlling gene expression levels using siRNA or miRNA is emerging

278 Gene expression levels vary greatly within similar cells

279 We validated gene expression levels via RT-qPCR and microRNA target v

280 The reporter gene expression level was confirmed via immunoblotting,

281 pression peak was observed at day 2, and the gene expression level was up to 5-fold higher than that

282 ighted summary expression score of the seven gene expression levels was computed.

283 mutant samples, and demonstrated that target gene expression levels were altered in vivo in Trps1(Del

284 Gene expression levels were compared between never and c

285 ations induce either higher or lower average gene expression levels were elucidated.

286 Relative gene expression levels were estimated by quantitative re

287 Gene expression levels were evaluated by qRT-PCR using R

288 Gene expression levels were evaluated by real-time PCR.

289 In this prospective single-center study, gene expression levels were evaluated using real-time Ta

290 Gene expression levels were investigated in relation to

291 Gene expression levels were opposite to methylation stat

292 Col2 and aggrecan gene expression levels were significantly up-regulated i

293 D group and 18 hr in the DBD and DCD groups, gene expression levels were similar to those found after

294 Gene expression levels were strongly associated with cel

295 macrophages had the highest pro-inflammatory gene expression levels, while large alveolar macrophages

296 also observed an increase in heritability of gene expression levels with age, implying a reduction of

297 t this system can be used to control in vivo gene expression levels with low background, large dynami

298 ite measurements to recover high-dimensional gene expression levels (with 100 times fewer measurement

299 Increased pausing has a non-linear effect on gene expression levels, with moderately paused genes bei

300 Analysis System tested group differences in gene expression levels within KEGG (Kyoto Encyclopedia o