ライフサイエンスコーパス: regulatory network

1 that MpaR function is integrated into the QS regulatory network.

2 oncept that multiple ALS genes interact in a regulatory network.

3 ient-derived GATA3 mutation (R330fs) on this regulatory network.

4 and transcription factors in the underlying regulatory network.

5 ptional profile and a unique transcriptional regulatory network.

6 me and are directly associated with the gene regulatory network.

7 y active selected REs (ASREs) and associated regulatory network.

8 y, we first construct a cell fate miRNA-gene regulatory network.

9 dditional promoter to be integrated into the regulatory network.

10 ween SHR's availability and the state of the regulatory network.

11 duce attractor states in the underlying gene regulatory network.

12 nes and highly overlaps with the ARID1A gene regulatory network.

13 s, and these are regulated by a complex gene regulatory network.

14 rt from cooption of fluctuations in the gene regulatory network.

15 ctivity, thereby creating a highly connected regulatory network.

16 nly observed before in a toy model of a gene-regulatory network.

17 NA profiles provides insight into their gene regulatory network.

18 sted the involvement of OsHOX24 in a complex regulatory network.

19 s made it difficult to decipher the p63 gene regulatory network.

20 onstrating deep conservation of its upstream regulatory network.

21 gene targets that constitute a core AML1-ETO regulatory network.

22 s of specialized metabolites through complex regulatory networks.

23 d Boolean models and diverse transcriptional regulatory networks.

24 rogress to further our understanding of gene regulatory networks.

25 ation of mammalian gene function and genetic regulatory networks.

26 hesis, and SVs contributing to these complex regulatory networks.

27 may have accelerated the evolution of immune regulatory networks.

28 estigation of transcriptional mechanisms and regulatory networks.

29 computational framework for deciphering gene regulatory networks.

30 cs, protein-protein interactions and protein regulatory networks.

31 otential of BINARI crosslinkers to probe RNA regulatory networks.

32 selection on environmentally sensitive gene regulatory networks.

33 tes and various stimulators participating in regulatory networks.

34 ny is accompanied by dynamic changes in gene regulatory networks.

35 specific retinal fates and alternative gene regulatory networks.

36 n, gene expression, and core transcriptional regulatory networks.

37 food legumes indicating the presence of gene regulatory networks.

38 ies can be readily related to the miRNA gene regulatory networks.

39 ammatory pathways constitute the complicated regulatory networks.

40 ity of biological systems is encoded in gene regulatory networks.

41 specific expression quantitative trait locus regulatory networks.

42 ctuating P levels via global transcriptional regulatory networks.

43 events, including the evolution of new gene-regulatory networks(1,2), the de novo evolution of genes

44 6) together with microRNAs that balance this regulatory network(7,8).

45 Disruption of the fast VCS gene regulatory network allowed nodal physiology to emerge, p

46 ed 'gene expression as a phenotype' and gene regulatory network analyses.

47 The regulatory network analysis detected two intriguing modu

48 Our regulatory network analysis identified FOXM1 and KDM4E a

49 rative analysis that combines proteomics and regulatory network analysis infers the interaction betwe

50 In addition, brain transcriptional regulatory network analysis revealed a positive associat

51 A gene regulatory network analysis showed that many of the dysr

52 mputationally-inferred context-specific gene regulatory network and applies topological, statistical,

53 ly relies on uncovering the complicated gene regulatory network and further characterization of the m

54 sa strategy to keep the robustness of the QS regulatory network and modulate its output in response t

55 We devise a disease-specific enhancer-gene regulatory network and predict that primed enhancers in

56 stral roles of the TOR-LARP1-5'TOP metabolic regulatory network and provides evolutionary context for

57 es have leveraged mechanistic information on regulatory networks and cellular biology.

58 ed by parental legacy, rewiring of divergent regulatory networks and epigenetic modulation.

59 platforms provide large and manually curated regulatory networks and functionality to perform inferen

60 makes it possible to quantify changes in co-regulatory networks and identify alterations to TF co-bi

61 Esrp1 mutant disease models to examine gene regulatory networks and pathways that are essential for

62 We exemplify the symmetry fibrations in gene regulatory networks and then show that they universally

63 Gene regulatory networks and tissue morphogenetic events driv

64 on-in molecular recognition, within a single regulatory network, and between different networks-provi

65 insight into a previously unrecognized gene regulatory network, and demonstrates how cross-regulatio

66 redundant nature of the plant transcription regulatory network, and sheds light on its architecture,

67 tip that simulated each cell's intracellular regulatory network, and the dynamics of SHR intercellula

68 odule-based network approaches to build gene regulatory networks, and compare their performance to si

69 and CcpA) in coordinating the metabolic and regulatory networks; and 5) a low-dimensional representa

70 In summary, our conserved miRNA-TF-gene regulatory network approach is effective in detecting co

71 We conclude that key aspects of the regulatory network are conserved, while differential exp

72 ly, we demonstrate that these synthetic gene-regulatory networks are functional in an influenza A vir

73 rofiling identifies how cell states and gene-regulatory networks are modulated by stretching.

74 The complexity and principles of these regulatory networks are only beginning to be understood.

75 Gene regulatory networks are typically constructed from gene

76 ow that logic computational circuits in gene regulatory networks arise from a fibration symmetry brea

77 n of desiccation stress response via complex regulatory network as indicated by its binding to severa

78 or eukaryotes simplifies the construction of regulatory networks as part of cellular engineering proj

79 omes, chromatin interaction network and gene regulatory network, as a proof of principle to identify

80 e transcriptome data also revealed a complex regulatory network associated with the introgressed junc

81 prediction to illustrate the miRNA-mediated regulatory network at different glucose concentrations i

82 r CRISPR screens to map and interrogate gene regulatory networks at unprecedented speed and scale, th

83 imeReg) as a method for the analysis of gene regulatory networks based on paired gene expression and

84 mals at which point the retromer/VARP/TBC1D5 regulatory network became fully established.

85 Our work provides insight into the regulatory network behind the compound inflorescence and

86 ded to dig out intrinsic mechanisms and gene regulatory networks behind DB infestation to date palm b

87 ime-series data covering many different gene regulatory networks, BINGO clearly and consistently outp

88 BICORN (Bayesian Inference of COoperative Regulatory Network) builds a hierarchical Bayesian model

89 developmental stage-specific transcriptional regulatory networks by linking enhancers and predicted b

90 cines trigger the formation of multicellular regulatory networks by reprogramming autoantigen-experie

91 hese steroid-producing immune cells and gene regulatory networks by using single-cell transcriptomics

92 ifferentiated cell behavior, and that a gene regulatory network can be rapidly assembled to reinforce

93 ese findings provide insight into how a gene regulatory network can coopt variation intrinsic to cell

94 We then define a rewiring score to quantify regulatory-network changes in terms of the topic changes

95 However, the gene-regulatory network components that are functionally impo

96 These effects are governed by a regulatory network composed of a fast-acting positive fe

97 itask learning and constructed a global gene regulatory network comprising 12,228 interactions.

98 anistic understanding of the complex genetic regulatory network comprising the clock.

99 manifest large-scale and dynamic changes in regulatory network connectivity (i.e. network 'rewiring'

100 This includes a cross-regulatory network consisting of 724 genes regulated by

101 s hierarchies and heterogeneity, causal gene regulatory network construction, and drug development.

102 Transcription factor regulatory networks control the lineage programming and

103 Gene regulatory networks control tissue homeostasis and disea

104 ex-specific functions by perturbing the gene regulatory network controlled by a single complex.

105 s and provides mechanistic insights into the regulatory network controlling bile duct differentiation

106 this study identifies a key step in the gene regulatory network controlling leaf growth in response t

107 The regulatory network controlling nodule formation has rema

108 To identify the global regulatory networks controlling antigen presentation, we

109 ing epigenetic repression of transcriptional regulatory networks controlling neuronal differentiation

110 ional modeling revealed how the PKA-mediated regulatory network could encode previous stimuli into me

111 ied, the dynamics, epigenetic mechanisms and regulatory networks defining senescence competence, indu

112 Additionally, we characterize a regulatory network depending on iCAFs.

113 Regulatory networks describe the hierarchical relationsh

114 Gene regulatory networks describe the regulatory relationship

115 herefore, the reconstruction of dynamic gene regulatory networks (DGRNs) is an important but difficul

116 Key components of the photosynthesis gene regulatory network differentially accumulated between me

117 lis has become a model organism for studying regulatory networks directing biofilm formation.

118 due to the dense and noisy nature of current regulatory networks, directly comparing the gains and lo

119 y of the initially proposed methods for gene regulatory network discovery create a network of genes a

120 we propose a novel approach to estimate gene regulatory networks drawing from the module-based method

121 rom retrotransposons can build upon existing regulatory networks during domestication.

122 involves dynamic shaping of transcriptional regulatory networks during evolution.

123 Mapping the gene-regulatory networks dysregulated in human disease would

124 sferred genes is an example of plasticity of regulatory networks evolving to provide an adapted respo

125 In allografts, innate cell type-related regulatory networks extended to granulocytes, monocytes,

126 Molecular analysis identifies potential regulatory networks for BA development, giving insight i

127 tion, functional studies have built detailed regulatory networks for this trait in diverse taxa, lead

128 transcription factor (TF)-centered upstream regulatory networks for various cell states.

129 Inferring gene regulatory networks from gene expression time series dat

130 factor DNA binding sites and transcriptional regulatory networks from RegulonDB.

131 We benchmarked a framework for learning gene regulatory networks from scRNAseq data that incorporates

132 ate-of-the-art algorithms for inferring gene regulatory networks from single-cell transcriptional dat

133 e the interplay between chromatin states and regulatory network function, we performed ATAC-seq on Dr

134 rain and organoids have helped identify gene regulatory networks functioning at early stages of brain

135 oal in biology, but connections between gene regulatory network (GRN) activity and individual differe

136 tocols has enabled the study of the p53 gene regulatory network (GRN) and underlying mechanisms at an

137 ilt the first computationally predicted gene regulatory network (GRN) for molluscan biomineralization

138 ease (CHD); however, the underlying CHD gene regulatory network (GRN) imbalances are unknown.

139 The gene regulatory network (GRN) of human cells encodes mechanis

140 1,199 mouse cells of ectodermal origin, gene regulatory network (GRN) screens in conjunction with gen

141 ch states and decipher their underlying gene regulatory network (GRN), we studied 10 melanoma culture

142 f networked activities in the brain-the gene regulatory network (GRN)-that orchestrates expression le

143 rturbations collectively disrupt normal gene regulatory networks (GRNs) by increasing their entropy.

144 Dynamic reprogramming of gene regulatory networks (GRNs) enables organisms to rapidly

145 The inference of gene regulatory networks (GRNs) from DNA microarray measureme

146 Predicting gene regulatory networks (GRNs) from expression profiles is a

147 biologists have shown that cooption of gene regulatory networks (GRNs) indeed underlies numerous evo

148 Gene regulatory networks (GRNs) link transcription factors (T

149 Developmental gene regulatory networks (GRNs) must therefore synchronize th

150 Gene regulatory networks (GRNs) of the same organism can be d

151 ses from changes to the topology of the gene regulatory networks (GRNs) that control the highly coord

152 Gene regulatory networks (GRNs) that direct animal embryogene

153 Lineage specification is governed by gene regulatory networks (GRNs) that integrate the activity o

154 Furthermore, analyses of gene regulatory networks (GRNs) yielded master regulator tran

155 s, and advances in our understanding of gene regulatory networks have enhanced our perspective on the

156 electrolytes thus have the potential to keep regulatory networks highly responsive even for interacti

157 states in development may constrain how gene regulatory networks impart embryonic pattern.

158 crotubule-associated proteins and identify a regulatory network important for development of the mamm

159 Regulatory networks important for regeneration are const

160 A detailed understanding of the gene-regulatory network in ankylosing spondylitis (AS) is vit

161 in cardiac fibrosis and its transcriptional regulatory network in cardiac fibroblasts.

162 plication of this newly identified intrinsic regulatory network in inflammatory osteoclastogenesis an

163 s the main application, we analyzed the gene regulatory network in lung adenocarcinoma, finding a cof

164 Estrogen receptor alpha (ER-alpha) forms a regulatory network in mammary epithelial cells and in br

165 ow temperature, and activates a complex gene regulatory network in response to cold stress.

166 tudy underlines the pivotal role of the Nrf2 regulatory network in the context of DENV infection.

167 s is the first systems-level view of circRNA regulatory networks in ASD cortex samples.

168 biological levels of organization; and gene-regulatory networks in behavior and development and thei

169 ional hotspots that potentially disrupt gene regulatory networks in cancer.

170 erences of gene expression networks and gene regulatory networks in children who develop asthma versu

171 the presence of complex and large miRNA-mRNA regulatory networks in every cell, including the insulin

172 ues have played a key role in dissecting the regulatory networks in gene expression in both animal an

173 dulating gene expression, yet their roles in regulatory networks in human cell lines remain poorly ch

174 nalytical approach to identify the conserved regulatory networks in humans and mice, from which we id

175 ion pairs, their FFLs, and TF-miRNA mediated regulatory networks in two major types of testicular ger

176 lvular interstitial cells; inference of gene regulatory networks in valvular interstitial cells posit

177 e particularly suitable for dissecting miRNA regulatory networks in vivo.

178 al activator of key genes involved in the Fe regulatory network, including bHLH38, bHLH39, bHLH100, b

179 ntification and function of AF-relevant gene regulatory networks, including variant regulatory elemen

180 BEELINE will aid the development of gene regulatory network inference algorithms.

181 Finally, by using single-cell regulatory network inference and clustering (SCENIC) alg

182 e of use, even by non-specialists, make gene regulatory network inference available to any researcher

183 We used gene regulatory network inference, genetic interaction and ex

184 The transcription regulatory network inside a eukaryotic cell is defined b

185 ata demonstrate that ARX functions in a gene regulatory network integrating normal forebrain patterni

186 A regulatory network involving more than 60 genes controls

187 ts, phosphate homeostasis is maintained by a regulatory network involving the PHO2 (PHOSPHATE2) encod

188 results uncover increased complexity in RNA regulatory networks involving RNA chaperone proteins, RN

189 n our preclinical model is associated with a regulatory network, involving antigen-specific Tr1 cells

190 II exit occur because of the dynamics of the regulatory network is not well understood.

191 Exploring EBV-mediated transcription regulatory networks is critical to understand viral-asso

192 ional characterisation of cell-type-specific regulatory networks is key to establish a causal link be

193 Understanding EBV-mediated transcription regulatory networks is one of the current challenges tha

194 The major obstacle in inferring gene regulatory networks is the lack of data.

195 e design, construct, and map a comprehensive regulatory network library containing 110,120 specific m

196 single round of selection, showing that the regulatory network library is universally applicable and

197 The facile construction and mapping of the regulatory network library provides a path for developin

198 Here, we identify a novel regulatory network mediated by RBP-J/NFATc1-miR182 in TN

199 endent Labeling identified a transcriptional regulatory network mediated by the neuroprotective facto

200 helms our intuitive notions of how molecular regulatory networks might respond under normal and stres

201 A multilayered hierarchical gene regulatory network (ML-hGRN) mediated by PuHox52 was rev

202 sting on the newly designed single-cell gene regulatory network model and applying to twelve publishe

203 In this review, we discuss a transcriptional regulatory network model for AF defined by effector gene

204 This article presents a cell fate regulatory network model that contributes to understandi

205 Using gene regulatory network models, we compared transcription fac

206 e server can construct degradome-based miRNA regulatory networks (MRNs) based on the validated MTIs t

207 y RNA-Seq analysis, to functionally define a regulatory network of 16,992 regulator/target gene links

208 We established a comprehensive dynamic regulatory network of both the up- and downstream regula

209 proaches for SLiM discovery to elucidate the regulatory network of calcineurin (CN)/PP2B, the Ca(2+)-

210 Furthermore, we establish the first gene regulatory network of cell fate commitment that integrat

211 ranscription factor of the endomesoderm gene regulatory network of embryos in the sea urchin, is requ

212 but its role in the evolutionarily divergent regulatory network of human PGCs (hPGCs) remains unclear

213 pdate on recent findings regarding the redox regulatory network of plant chloroplasts, focusing on th

214 We uncover an extensive cross-regulatory network of SR proteins controlling their expr

215 specific traits require integration into the regulatory network of the cell and are often controlled

216 by additional changes to the downstream gene regulatory network of transcription factors, giving Hh a

217 Based on these promoters, regulatory networks of higher complexity are assembled,

218 We explore the transcriptional regulatory networks of mesenchymal-associated tumor-asso

219 deeper mechanistic understanding of the gene regulatory networks of regeneration pathways might ultim

220 es of RNA processing is to study the in vivo regulatory networks of RNA binding proteins (RBPs).

221 Regulatory networks of such adaptive genes are elucidate

222 Knowing transcriptional profiles and gene regulatory networks of SV cell types establishes a basis

223 3D colony organizations and the cis-regulatory networks of two human mammary epithelial cell

224 e how the type I interferon (IFN)-responsive regulatory network operates in single human cells to pro

225 ssion, providing evidence of a putative gene regulatory network operating in flight feather patternin

226 studies pertaining to the metabolic and gene regulatory networks operating in the glandular trichomes

227 s proteins, but protein family diversity and regulatory network overlap remain poorly defined.

228 interconnected signaling, metabolic and gene regulatory network pathways represented in standard form

229 ons that a progenitor will undergo following regulatory network perturbations.

230 The role promoter-associated gene-regulatory-networks play in development-associated trans

231 ll understood for an individual protein, how regulatory networks produce intracellular activity patte

232 miRNA target interactions and identified key regulatory networks prominent in hESC chondrogenesis.

233 characterization of oncogenic RBPs and their regulatory networks provide new opportunities for target

234 ng the functioning of this intricate genetic regulatory network provides new insights into the underl

235 et, comparing the proposed approach to other regulatory network reconstruction algorithms.

236 l pathogen Candida albicans, transcriptional regulatory networks regulate epigenetic switching betwee

237 The HY5-DEWAX regulatory network regulates anthocyanin content in Arab

238 other essential TF(s) of the glyceollin gene regulatory network remain to be identified.

239 h we know a lot about the signaling and gene-regulatory networks required for this process, much less

240 Regulatory networks respond to environmental and genetic

241 ction independently of the known SPE-44 gene regulatory network, revealing the existence of an NHR-23

242 ssion differ in tumor and normal, suggesting regulatory network rewiring during tumorigenesis.

243 However, quantification of co-regulatory network rewiring has not been comprehensively

244 changes in gene expression(1), but the gene regulatory network that controls oocyte growth remains u

245 Our work uncovers components of a gene regulatory network that controls the initial specificati

246 nt iron deficiency (-Fe) activates a complex regulatory network that coordinates root Fe uptake and d

247 /CDK2, along with SEL-10/FBXW7, constitute a regulatory network that exerts spatial and temporal cont

248 e describe a conserved, likely ancient, gene regulatory network that intriguingly operates contempora

249 s, CD95 is part of a complex cell autonomous regulatory network that involves activation of innate im

250 r a role of TAF5L/TAF6L in directing the MYC regulatory network that orchestrates gene expression pro

251 chor cell invasion, we characterize the gene regulatory network that promotes cell invasion.

252 git tip regeneration is controlled by a gene regulatory network that recapitulates aspects of limb de

253 To further study the regulatory network that underlies induced defence to spi

254 al progress has been made in deciphering the regulatory network that underlies the specification of d

255 g their essential role in the maintenance of regulatory networks that affect the intricacy of the org

256 alter the form or function of molecular gene regulatory networks that are then filtered by natural se

257 rowth and survival through highly integrated regulatory networks that coordinate defensive measures a

258 eukaryotes is controlled by transcriptional regulatory networks that define cell-type-specific gene

259 w our current understanding of gene-specific regulatory networks that define the magnitude and timing

260 provide a more complete overview of the gene regulatory networks that define this cell type, and demo

261 The identities of the regulatory networks that facilitate this partitioning ar

262 This makes it challenging to reconstruct the regulatory networks that govern the biochemical processe

263 pletely ignore the topological order of gene regulatory networks that hold key characteristics in und

264 he emergent outcomes of vast, interconnected regulatory networks that influence cell fates and lineag

265 d at DARs during differentiation, indicating regulatory networks that likely drive GIN development.

266 Identifying functional gene sets and their regulatory networks that link specific cell types to hum

267 Regulatory networks that maintain functional, differenti

268 To identify gene regulatory networks that reprogram Muller glia into prog

269 consequences of noncoding variation in gene regulatory networks that stabilize pluripotent states in

270 g activity, which initiates a highly complex regulatory network thought to become progressively resis

271 slational modification linked to the calcium-regulatory network through CPK1.

272 tical model that connects the flagellar gene regulatory network to flagellar construction.

273 urchin embryo for its well-established gene regulatory network to interrogate the embryo using singl

274 ORNs utilize diverse strategies and complex regulatory networks to coordinate their physiology and c

275 Bacteria use complex regulatory networks to cope with stress, but the functio

276 ficial cells capable of homeostasis requires regulatory networks to gather information and make decis

277 role in the operation of biomachinery, from regulatory networks to protein transcription, and is als

278 ches appear as possible alternatives to gene regulatory networks to understand development.

279 tool DSGRN (Dynamic Signatures Generated by Regulatory Networks) to explore the intermediate states

280 es the dissection of complex changes in gene regulatory networks triggered by miRNAs and identificati

281 that viral or mutational disruption of this regulatory network triggers overexpression in breast can

282 The transcriptional regulatory network (TRN) of Bacillus subtilis coordinate

283 is enabled, in part, by its transcriptional regulatory network (TRN) that coordinates its gene expre

284 Reverse engineering of transcriptional regulatory networks (TRN) from genomics data has always

285 hips between RT networks and transcriptional regulatory networks (TRNs) by combining them into more c

286 Analysis of the topology of transcriptional regulatory networks (TRNs) is an effective way to study

287 interaction platform for remodeling the cis-regulatory network underlying cellular plasticity.

288 Equally ill-defined is the gene regulatory network underlying the progression of support

289 systemic nitrate sensing/signaling, and the regulatory networks underlying nitrate-controlled output

290 entified for functional characterization and regulatory network was constructed to find out the proba

291 of transcription factors in time in the gene regulatory network was implicated.

292 ability of FoxA factors for maintaining this regulatory network, we ablated all FoxA genes in the adu

293 been shown in vivo In order to dissect this regulatory network, we removed the complex interdependen

294 enerated from artificial and real-world gene regulatory networks, we show that our algorithm can infe

295 Understanding this regulatory network will be critical for resetting the ba

296 he guanine nucleotide-based second messenger regulatory network with the bacterial PTS (Ntr) system a

297 grated multiomics data to construct directed regulatory networks with nodes and edges labeled with ch

298 y to understanding gene expression and whole regulatory networks within a cell.

299 Finally, we identify homeostatic gene regulatory networks within spindle and root cells, estab

300 ut by nutrient stress can be communicated to regulatory networks within the cell, we identified prote