ライフサイエンスコーパス: co-expression

1 moter-promoter interactions are enriched for co-expression.

2 eric in the absence of stimulation and ErbB2 co-expression, a small fraction was present as constitut

3 Gene co-expression also changes by sex, age, different tissue

4 pport observations that PGE exhibits ordered co-expression, although mechanisms underlying this instr

5 More specifically, the combined use of co-expression analyses based on self-organizing maps wit

6 Here, we used co-expression analyses of available Arabidopsis thaliana

7 ate essential lincRNAs was then subjected to co-expression analyses using independent data from ENCOD

8 We propose a new generalized gene co-expression analysis algorithm via subspace clustering

9 Co-expression analysis also revealed that the most downr

10 combining adipose transcriptome datasets in co-expression analysis and in differential expression an

11 ic brain regions, age ranges and sexes; (ii) co-expression analysis from different platforms.

12 Co-expression analysis has provided insight into gene fu

13 Co-expression analysis highlights the function of mitoch

14 Gene co-expression analysis in cells robustly expressing SLC1

15 tistical EcoToxModules were identified using co-expression analysis of publicly available microarray

16 Here we use gene co-expression analysis of RNA-sequencing data from brain

17 Weighted gene co-expression analysis of the transcriptome of filamento

18 Gene co-expression analysis showed that in addition to overex

19 The clustering and co-expression analysis suggested that transcription fact

20 eneNetwork database is a unique resource for co-expression analysis using data from a variety of tiss

21 further analyzed using correlation analysis, co-expression analysis, clustering, differential gene ex

22 Statistical analyses include co-expression analysis, differential expression analysis

23 nscripts were identified via a pathway level co-expression analysis.

24 rential expression of individual genes or on co-expression analysis.

25 y combining multitrait association with gene co-expression and co-methylation data.

26 Weighted gene co-expression and co-methylation network analyses identi

27 filtrate as well as increased GFAP and S100B co-expression and decreased HuC/D protein expression in

28 ADGRV1 co-expression and disease-enrichment analysis identifyin

29 However, the co-expression and interaction of TRPA1 with TRPV1 proved

30 Co-expression and live imaging studies indicate that the

31 irs and the relationship between development co-expression and phenotypes resulting from the knockout

32 Ordered co-expression and random spatial distribution of a diver

33 QTL enrichment, functional fine-mapping, RNA co-expression, and patterns of physiological association

34 ata on protein cellular concentrations, gene co-expression, and protein-protein interactions in the w

35 Analysis of the co-expression architecture uncovered several insulin sen

36 However, co-expression as well as regulated titration of the puta

37 The co-expression based approach, cxds, utilizes binarized (

38 oaches for in silico doublet identification: Co-expression based doublet scoring (cxds) and binary cl

39 This new co-expression-based capability enables us to study how f

40 d phenotypes, and relationships such as gene co-expression, biochemical regulation, and biomolecular

41 Importantly, upon co-expression both glycoproteins were found in the Golgi

42 tein-protein interaction (PPI) network, gene co-expression (CE) network and pathway information to id

43 assess the cell-type specificity of AD gene co-expression changes and estimate cell-type proportion

44 Co-expression clustering illuminated melorheostosis path

45 48 analyzed tissues in GTEx, 26 have variant co-expression clusters of four highly expressed and panc

46 Here we test macroevolutionary hypotheses on co-expression, co-regulation, and diversification of the

47 ted by EMMPRIN (CD147) as determined through co-expression/co-immunoprecipitation studies, and siRNA-

48 Our analyses highlight how co-expression combined with functional enrichment analys

49 Co-expression competent cells express graded levels of S

50 e a binary decision between S-opsin only and co-expression competent fates.

51 schizophrenia genetic signals and modules of co-expression converged on one module showing not only a

52 Tissue microarray analysis revealed co-expression correlations between individual pairs of p

53 ted by predicting gene function from RNA-seq co-expression data processed uniformly from the gene exp

54 ells that can complement protein-protein and co-expression data.

55 ect implications for understanding how their co-expression deregulates transcription in cancer.

56 genomes display extensive redistribution of co-expression domains with expanded and newly-appearing

57 given to the effect of tissue composition on co-expression estimates.

58 f cell-type composition on correlation-based co-expression estimation for any cell types of interest.

59 nition of bacterial effectors by plant NLRs, co-expression experiments with matching Mla-AVR(a) pairs

60 ated from multiple sources including TF-gene co-expression from RNA-seq studies, TF-target associatio

61 f features including protein sequences, gene co-expression, functional association, and phylogenetic

62 Furthermore, the changes of the co-expression gene network between diabetic and healthy

63 inheritance of parental expression patterns, co-expression gene network properties, and genomic loci

64 protein-protein interaction, signaling, gene co-expression, homology and cancer-gene networks.

65 ith Igf2bp3, another RBP, and their enforced co-expression in adult HSPCs reactivated fetal-like B-ce

66 otemporal expression of individual genes and co-expression in normal human brains.

67 A distinct pattern of RAD23B-pYSTAT3 co-expression in primary Sezary cells was detected.

68 e expression under the normal state and gene co-expression in the human brain has not been fully defi

69 dence for adrenergic receptor expression and co-expression in the subregions of the mouse auditory mi

70 The top co-expressions in brain were between ADGRV1 and GRIK2 in

71 of miRNA target predictions with target gene co-expression information to model genome-wide gene regu

72 n across multiple networks highlights robust co-expression interactions and improves the functional c

73 inding alternative model systems where their co-expression is conserved.

74 ify lncRNA signatures in clinically-relevant co-expression lncRNA-mRNA networks residing in pertinent

75 tasets (3) evaluating the performance of the co-expression measurements against a gold standard.

76 he desired methods (2) calculating gene-gene co-expression measurements for adjusted datasets (3) eva

77 show significant clustering within a single co-expression module of genes highly expressed during ea

78 d frameworks consider the common latent gene co-expression modules and gene-sample biclusters underly

79 transcriptomic data can provide insights via co-expression modules and hubs, alternative forms of com

80 heritability of psychiatric disorders in the co-expression modules enriched for dystonia-associated g

81 um score regression was used to test whether co-expression modules enriched for dystonia-associated g

82 ariants that regulate the expression of gene co-expression modules in the aging human brain; we disco

83 response networks involved multiple discrete co-expression modules including those related to Th2-, t

84 We used co-expression modules inferred from gene expression data

85 Furthermore, 4 of 220 gene co-expression modules tested were significantly enriched

86 from 32 normal controls showed that distinct co-expression modules were mostly enriched in neurogenes

87 at can identify biologically meaningful gene co-expression modules with genes that are not all highly

88 roportion changes in human AD by integrating co-expression modules with single-cell transcriptome dat

89 maximal quasi-clique merger to identify gene co-expression modules.

90 der (ASD) affect distinct developmental gene co-expression modules.

91 identify schizophrenia-associated gene/eRNA co-expression modules.

92 set of key driver genes that regulate these co-expression modules.

93 etween developmental stages and hub genes in co-expression modules.

94 Gene co-expression network (GCN) analysis found that glossy g

95 tions has enabled the widespread use of gene co-expression network (GCN) analysis in plants.

96 intent in this study was to construct a gene co-expression network (GCN) for the normal brain using R

97 Differential gene expression and co-expression network analyses identified diverse networ

98 Gene co-expression network analyses revealed 12 modules assoc

99 Gene co-expression network analyses using de novo assemblies

100 Gene Co-expression Network Analysis (GCNA) helps identify gen

101 Through weighted gene co-expression network analysis (WGCNA) and principal com

102 Weighted gene co-expression network analysis (WGCNA) identified six mo

103 essed genes (DEGs) and also by Weighted Gene Co-expression Network Analysis (WGCNA) to identify modul

104 pression data were analyzed by weighted gene co-expression network analysis (WGCNA) to identify trait

105 Weighted gene co-expression network analysis (WGCNA) was applied to id

106 Weighted Gene Co-expression Network Analysis (WGCNA) was applied to RN

107 highly associated for COPD in Weighted Gene Co-Expression Network Analysis (WGCNA) was enriched for

108 Weighted gene co-expression network analysis (WGCNA) was performed wit

109 We perform co-expression network analysis across more than 1200 hum

110 Weight gene co-expression network analysis among 4,647 expressed gen

111 regating-based Markov random field, weighted co-expression network analysis and supervised regulatory

112 Weighted gene co-expression network analysis detected 4 and 7 modules

113 form the localized (cell subpopulation) gene co-expression network analysis from large-scale scRNA-se

114 tive gene modules generated by Weighted Gene Co-expression Network Analysis from purified leukocyte p

115 Kinase-substrate association and co-expression network analysis identify important biolog

116 Gene co-expression network analysis methods have been widely

117 From a scale-free, co-expression network analysis of transcriptomic data th

118 Weighted gene co-expression network analysis prioritized 63 of the 212

119 Gene co-expression network analysis revealed biological pathw

120 The lncRNA-mRNA co-expression network analysis revealed that 5 deregulat

121 The comparative gene expression and co-expression network analysis revealed that certain mem

122 A subsequent gene co-expression network analysis revealed that drought-ass

123 one cancer and CTCs to perform weighted gene co-expression network analysis to systematically detect

124 These findings were confirmed by gene co-expression network analysis where hub genes were iden

125 ly used to perform different aspects of gene co-expression network analysis, and Modularity Maximizat

126 s, pathway enrichment analysis, differential co-expression network analysis, prediction, clustering a

127 By cross-tissue co-expression network analysis, the gut, liver, and kidn

128 l gene expression analysis and weighted gene co-expression network analysis, we identified both cruci

129 separate modules identified by weighted gene co-expression network analysis.

130 on differential gene expression analysis or co-expression network analysis.

131 oregulated in post-MI HF using weighted gene co-expression network analysis.

132 y, we propose a new pipeline to perform gene co-expression network analysis.

133 a statistical framework built on considering co-expression network changes across time from time seri

134 reds and on average have significantly fewer co-expression network connections suggesting that a subs

135 f change point detection to characterize the co-expression network dynamics, and the use of kernel fu

136 We demonstrate early alterations in a gene co-expression network enriched for myelin and oligodendr

137 In this work, we developed a rice gene co-expression network for anther development (RiceAnther

138 The TaGW7-centered gene co-expression network indicated that this gene is involv

139 networks, forming a single highly integrated co-expression network module, maximizing potential for s

140 The co-expression network of AtMLO3 suggests association of

141 genes (OLIGs), whereas a multicellular gene co-expression network of plaque-induced genes (PIGs) inv

142 it were multiple times more likely to form a co-expression network than other genes expressed in an o

143 transcription factor (TF) and lncRNA-TF-mRNA co-expression network were constructed with high specifi

144 Co-expression network, hierarchal clustering, and gene-o

145 Furthermore, co-expression network-based functional analysis of gene

146 in interaction (PPI) network combined with a co-expression network.

147 Gene co-expression networks (GCNs) are powerful tools that en

148 We identified ten B. cinereagene co-expression networks (GCNs) that encode known or novel

149 ophrenia cases; all Caucasians) to construct co-expression networks and detect "modules" of co-expres

150 We then assembled gene co-expression networks and identified metastasis-correla

151 CNA algorithms use correlation to build gene co-expression networks and identify modules with highly

152 se low-rank representation to construct gene co-expression networks and local maximal quasi-clique me

153 n immunoinflammatory pathways and associated co-expression networks and their relationships to sympto

154 It first detects change point for co-expression networks and then employs a Bayesian multi

155 ld potentially disrupt genetic networks, the co-expression networks are highly conserved across envir

156 erful tool to investigate the differences of co-expression networks between cases and controls.

157 Co-expression networks can characterize the interactions

158 Gene co-expression networks capture biological relationships

159 Dysregulated PFC co-expression networks common to both the THC-treated an

160 determined the enrichment of these genes in co-expression networks constructed from 10 human brain r

161 sualization of any identified biclusters and co-expression networks elucidation.

162 Co-expression networks identified region-specific altera

163 Here we explore the role of genetics and co-expression networks in regulating these genes in the

164 ighlights complex relationships between gene co-expression networks in the brain and clinical state a

165 s and identify risk clusters using BrainSpan co-expression networks of early- and mid-fetal periods.

166 ich leverages information from evolving gene co-expression networks of neurodevelopment.

167 ntially expressed genes and constructed gene co-expression networks on mRNAs of pigs under different

168 tage of subspace clustering to generate gene co-expression networks rather than using correlation as

169 ed a combined analysis of metabolic and gene co-expression networks to explore how the soil microbiom

170 e-collecting Steiner forest-based problem on co-expression networks, adapted to model neurodevelopmen

171 uding phenotype-gene expression association, co-expression networks, and cis-eQTL discovery.

172 f the TCGA transcriptome data, identified 12 co-expression networks, and demonstrated that CXCL13, CX

173 ologies and are also hub proteins of protein co-expression networks, as promising targets for future

174 d by additional lines of evidence, including co-expression networks, metabolite analyses, and direct

175 approaches that combine gene regulatory and co-expression networks, proteomics, metabolomics, lipido

176 hough those applications focus on miRNA-mRNA co-expression networks, SmCCNet is applicable to a varie

177 We have built PC gene and lincRNA co-expression networks, unraveling key biological proces

178 r senescence protein-protein interaction and co-expression networks.

179 he functional connectivity of grapevine gene co-expression networks.

180 expression-level dominance and revamping of co-expression networks.

181 tifying conserved gene modules and comparing co-expression networks.

182 a highly multiplexed screen to quantify the co-expression of 351 surface molecules on millions of hu

183 Co-expression of a therapeutic Arylsulfatase-A with RgE-

184 We also noted that co-expression of ABCF3 and OAS1B in bacteria alleviated

185 of single-cell RNA sequencing data show that co-expression of ACE2 and TMPRSS2 is elevated in absorpt

186 ormation in Arabidopsis, we demonstrate that co-expression of AcMYB123 and AcbHLH42 is a prerequisite

187 The approach is based on comparing co-expression of adjusted gene-gene pairs to a-priori kn

188 Co-expression of all four TSEN subunits is required for

189 Co-expression of alleles from both parental genomic type

190 or subtypes in a single IC cell, we measured co-expression of alpha(1) , alpha(2A) , and beta(2) rece

191 The method involves the co-expression of an antibody library in a population of

192 Co-expression of an IL-4R antagonist by the rFPV vaccine

193 ene expression analysis revealed significant co-expression of beta-adrenergic pathway genes PKA regul

194 activation (+47 mV at 12 um matrix Ca(2+) ) Co-expression of BK(Ca) with the BK-beta1 subunit in HeL

195 Co-expression of both receptors is more frequently detec

196 We demonstrate that co-expression of BRAF(V600E) and PIK3CA(H1047R) in AT2 p

197 in which CRE-mediated recombination leads to co-expression of BRAF(V600E) and tdTomato.

198 nal feature of non-CG methylation (mCH), but co-expression of Brn2 and Mytl1 was required to establis

199 Strong concordance in co-expression of CA12 and ESR1 (R(2) = 0.1128, p = 0486)

200 ngth and sample age on PCR amplification and co-expression of candidate genes on apparent expression

201 Co-expression of cathepsin B and cathepsin B-resistant m

202 Co-expression of CERBERUS with LjVPY1 or LjVPY2 in N. be

203 dent for epigenetic regulators with enhanced co-expression of chromatin- and dendrite-related genes i

204 Simultaneous co-expression of CLN3 and KChIP3 with Kv4.2 resulted in

205 , its role in reactions and pathways and the co-expression of complex components in the tissues of mu

206 Co-expression of downregulated fibroblast and upregulate

207 rotein modules for breast tumor groups, with co-expression of EGFR and MET marking ductal carcinoma i

208 Surprisingly, co-expression of EsxB_1/EsxA_1 with a modified PE35/PPE6

209 PCa metastasis are critically dependent upon co-expression of FABP5 in vitro and in vivo.

210 ecific regulatory B cells were identified by co-expression of fluorescence-conjugated ovalbumin and I

211 Co-expression of full-length as well as mDia1-interactin

212 was associated with stronger inter-regional co-expression of genes enriched for neuronal terms.

213 ions of reprogramming factors, we found that co-expression of GMT in individual fibroblasts is suffic

214 sis in dorsal telencephalic progenitors, the co-expression of Gsx2 with Ascl1 inhibits neurogenesis.

215 The co-expression of GUCY2D allelic combinations linked to C

216 T171-120Q forms inclusions but is benign and co-expression of HTT171-120Q with non-aggregating pathog

217 cancer have limited effector function, high co-expression of inhibitory receptors and extensive tran

218 ssion of INMT transcript in rats and humans, co-expression of INMT and AADC mRNA in rat brain and per

219 Furthermore, co-expression of meningococcal lpxH and lpxA resulted in

220 n transport pathway, codon optimization, and co-expression of molecular chaperones to promote express

221 or SRSF2 imparted distinct splicing changes, co-expression of mutant IDH2 altered the splicing effect

222 Consistent with this, co-expression of mutant IDH2 and SRSF2 resulted in letha

223 e a rosette pluripotent state defined by the co-expression of naive factors with the transcription fa

224 ic reticulum (ER)-like neighborhood, whereas co-expression of OsPIP2;2 recruited OsPIP1;3 to the plas

225 data and, employing a binomial model for the co-expression of pairs of genes, yields interpretable do

226 Using patch clamp recordings, we found that co-expression of Phactr1 with wild-type Slack channels r

227 Further, employing the GBM BioDP, we found co-expression of PIK3CA with the neuronal stem/progenito

228 First, co-expression of PNPLA3 and CGI-58 resulted in LD deplet

229 depleted the cells of LDs, but unexpectedly, co-expression of PNPLA3(wild type [WT] or 148M) with ATG

230 The co-expression of rapsyn in muscle cells induced AChR clu

231 Furthermore, co-expression of RcFAH12 with PfLCAT-PLA or RcLCAT-PLA,

232 Finally, we show that co-expression of SEMA7A/COX-2/FN predicts for poor progn

233 ls expressing SLC26A9 alone or with WT-CFTR, co-expression of SLC26A9 with F508del-CFTR reduced total

234 Co-expression of SnRK1alpha with PAL in Nicotiana bentha

235 on that NMPs can be defined by the exclusive co-expression of Sox2 and T at mRNA level.

236 f the tuberigen activation complex, and that co-expression of StCEN blocks activation of the StSP6A g

237 d dysregulated transcriptional programs with co-expression of stemness and myeloid priming genes and

238 s and dendritic cells, were characterized by co-expression of surface proteins corresponding to HLA-D

239 Strikingly, we demonstrate that co-expression of TET1 and a VP64 transactivator have a s

240 Co-expression of the A595T and G1061E mutations, which m

241 Co-expression of the AP-2 alpha subunit enhanced the Nef

242 in, Rv2514c, induces bacteriostasis and that co-expression of the cognate antitoxin Rv2515c restores

243 Here we test whether co-expression of the decoy chemokine receptor M3, that c

244 his is associated with different patterns of co-expression of the glutamatergic phenotype along the r

245 om those that are preserved, suggesting that co-expression of the glutamatergic phenotype in DA cells

246 d metastasis of cancer cells is inhibited by co-expression of the glycoprotein E-cadherin.

247 ated inhibition of mTORC1 activity; however, co-expression of the phospho-deficient mutant of PRAS40

248 ity in Escherichia coli, which is rescued by co-expression of the TliV1a immunity factor.

249 was to evaluate the regional expression and co-expression of the transporter proteins for serotonin

250 ociated with mainly increased expression and co-expression of the transporters for serotonin and dopa

251 hastic bursts of transcription result in the co-expression of these antagonistic transcription factor

252 Co-expression of this antigen complex and SOX9 also char

253 A-Seq dataset of aortic tissue to assess the co-expression of TLR4, MD2, and subunits of the vascular

254 Co-expression of TRAM and an antigen from adenoviruses i

255 onally unspecialized state, characterized by co-expression of transcription factors that become restr

256 vivo and that polymodal nociception requires co-expression of TrpA1 isoforms, providing novel insight

257 nced increase in nociceptors with functional co-expression of TRPM3, TRPV1 and TRPA1.

258 However, co-expression of two different huSMN missense mutants ca

259 overexpression of PTEN, there was increased co-expression of type I interferon-associated genes with

260 By in planta co-expression of tyrosyl protein sulfotransferase 1, we

261 n by GCAP1 in RetGC1 heterodimer produced by co-expression of WT and the R838S subunits.

262 Co-expression of Yin Yang 1 (YY1) is required for the fu

263 Furthermore, the co-expression of ZmMC1 and ZmMC2 with Rp1-D21 and CC(D21

264 ed that ABCD4 lysosomal targeting depends on co-expression of, and interaction with, LMBD1.

265 experiments, we examined the effects of CLN3 co-expression on the KChIP3-mediated modulation of Kv4.2

266 ll mice, we investigated the impact of GPR88 co-expression on the signaling of opioid receptors in vi

267 ork analysis (WGCNA) was applied to identify co-expression patterns among CXCL13-CXCR5, associated ge

268 ene subnetworks that represent specific gene co-expression patterns are inferred from the components

269 e drug sensitvity biomarkers with concordant co-expression patterns between the PDXs and pretreatment

270 Single-cell RNA sequencing studies on gene co-expression patterns could yield important regulatory

271 e based on the consistency level between the co-expression patterns in the given sample and samples i

272 uited to deconvolute both the expression and co-expression patterns of an individual cell type.

273 association to vascular diseases and cancer co-expression patterns reported in the relevant database

274 e common functionalities as reflected by the co-expression patterns, which are distinct from samples

275 urther association of gene function based on co-expression patterns.

276 Following portal co-expression, portals were incorporated into about half

277 primary prostate tumors by investigating the co-expression profiles of patient samples and their corr

278 s gene expression in specific Sox2 and Pitx2 co-expression progenitor cell domains.

279 miana leaves increased PC content, and SnRK1 co-expression reduced this effect.

280 s types of data including isoform sequences, co-expression relationship among isoforms, etc.

281 ng a conditional random field (CRF) based on co-expression relationship.

282 sion inhibits eVP40 VLP egress and that Amot co-expression rescues budding of eVP40 VLPs in a dose-de

283 rom biopsies of cancer patients can identify co-expression signatures representing particular biomole

284 Gene co-expression studies can provide important insights int

285 e, which indicated that miR-449a and miR-424 co-expression suppresses tumor growth.

286 and posterior ventral thalamus, while lower co-expression was noted in the dorsomedial thalamus.

287 ependent on K19 expression, and K19-cyclin D co-expression was observed in human breast cancer tissue

288 Moreover, SERT/DAT co-expression was significantly higher in SAD patients i

289 ntial expression, variance partitioning, and co-expression, we identify the following trade-offs for

290 order to incorporate phenotypic context into co-expression, we recently developed an epistasis-expres

291 a database of mouse brain anatomy and gene (co-)expression with sophisticated visualization and sess

292 Co-expression with AQP4 facilitated the cell swelling in

293 Surprisingly, co-expression with Brn2 and Mytl1 inhibited the ability

294 so replete in iron but lacks nickel, despite co-expression with CooC.

295 MS analysis revealed that NACA co-expression with PPP1CA causes dephosphorylation of NA

296 a rich source of Oxtr and a site of cellular co-expression with PWS gene transcripts.

297 urther, NEDD8 correlation analysis indicated co-expression with RBX1, a key component in cullin-RING

298 eural progenitor cells based on differential co-expression with Tc-six3/optix, Tc-six4, Tc-chx/vsx, T

299 e expression, but expression was restored by co-expression with the beta1-subunit.

300 re robustly defined each showing patterns of co-expression within individual cells, which were mainly