ライフサイエンスコーパス: gene regulatory network

1 required for maintenance of the pluripotency gene regulatory network.

2 result from high-dimensional dynamics of the gene regulatory network.

3 ences do not propagate through the embryonic gene regulatory network.

4 nt of the NANOG, OCT4, and SOX2 pluripotency gene regulatory network.

5 ulation model in sugarcane culm tissue and a gene regulatory network.

6 igenetic inputs arranged hierarchically in a gene regulatory network.

7 ce and time as governed by the dynamics of a gene regulatory network.

8 ritical components to understand the dynamic gene regulatory network.

9 teins are highly embedded within the cardiac gene regulatory network.

10 m and is downstream of Gcm in the aboral NSM gene regulatory network.

11 tion patterns was associated with a distinct gene regulatory network.

12 captured in a chronological model of the JA gene regulatory network.

13 n of BAP1 in the regulation of the ER stress gene-regulatory network.

14 help us relate the structure and function of gene regulatory networks.

15 on can illuminate components of TF-dependent gene regulatory networks.

16 lies in the development of new ways to train gene regulatory networks.

17 initiation of both the mesoderm and endoderm gene regulatory networks.

18 ow the somatic activity of TEs can influence gene regulatory networks.

19 y for probing functional interactions within gene regulatory networks.

20 ircRNA expression profiles and circRNA-miRNA-gene regulatory networks.

21 stic interactions, an important component of gene regulatory networks.

22 r for inferring biological networks, such as gene regulatory networks.

23 ction is necessary to understand the complex gene regulatory networks.

24 -dimensional -omics data and reconstruct the gene regulatory networks.

25 ve evolved via concerted changes in multiple gene regulatory networks.

26 rative approach to model information flow in gene regulatory networks.

27 actor proteins and their interactions within gene regulatory networks.

28 ophila represents one of the best understood gene regulatory networks.

29 decomposition methods on synthetic and real gene regulatory networks.

30 ion of hypotheses regarding the structure of gene regulatory networks.

31 KX2-5 mutations to model loss-of-function in gene regulatory networks.

32 thod may be used to reconstruct hierarchy in gene regulatory networks.

33 y which TE sequences can be used to modulate gene regulatory networks.

34 analysis in generating contribution-weighted gene regulatory networks.

35 tool to study the function and properties of gene regulatory networks.

36 stributions and single-cell power spectra in gene regulatory networks.

37 del in describing the behaviour of stem cell gene regulatory networks.

38 and tissue organization, and the underlying gene regulatory networks.

39 s, protein-protein interaction networks, and gene regulatory networks.

40 orks have been used successfully in modeling gene regulatory networks.

41 1 as key components of counteracting myeloid-gene-regulatory networks.

42 nstability and are dictated by counteracting gene-regulatory networks.

43 sms for eons have catalysed the evolution of gene-regulatory networks.

44 a valuable resource for placing miRNAs into gene-regulatory networks.

45 gene expression when you add new links to a gene regulatory network?

46 Whereas conservation of gene regulatory networks across higher taxa supports gen

47 These data imply that at least two gene regulatory networks act to coordinate gene expressi

48 lticellular and unicellular regions of human gene regulatory networks activate primitive transcriptio

49 transcription factors and chromatin dictates gene regulatory network activity.

50 The dynamic nature of gene regulatory networks allows cells to rapidly respond

51 pendent non-coding variants in a coordinated gene regulatory network amplify their individually small

52 Gene-regulatory network analysis is a powerful approach

53 ation of photosynthesis, we developed a rice gene regulatory network and identified a transcription f

54 eviously proposed a model that describes the gene regulatory network and its interaction with Erk sig

55 on the computed probabilistic landscape of a gene regulatory network and of a toggle-switch network.

56 tor subunits at the core of the pluripotency gene regulatory network and will enhance our ability to

57 We discuss how this affects the gene regulatory networks and cell state transitions that

58 ogy is to gain a sufficient understanding of gene regulatory networks and cell-cell interactions to e

59 examples from various models of experimental gene regulatory networks and demonstrate the beneficial

60 rol over reaction complexity using synthetic gene regulatory networks and DNA nanotechnology has deve

61 experimental conditions; (2) to build local gene regulatory networks and identify hierarchically imp

62 amework's applicability in dynamic models of gene regulatory networks and identify nodes whose overri

63 pre-existing TEs affect genome architecture, gene regulatory networks and protein function during mam

64 these new tools could be used to investigate gene regulatory networks and their control mechanisms.

65 sionary contribution to our understanding of gene regulatory networks and their evolution is acknowle

66 prediction of the behavior of signaling and gene regulatory networks and, more generally, for the va

67 e studies also provide new insights into the gene regulatory networks and/or dynamic cellular process

68 t Ubx has been co-opted into a novel eyespot gene regulatory network, and that it is capable of activ

69 E systems for biochemical reaction networks, gene regulatory networks, and evolutionary game theory.

70 ng can help dissecting the role of miRNAs in gene regulatory networks, and we shall here review the m

71 he extent to which cell- and tissue-specific gene regulatory networks are established.

72 Gene regulatory networks are largely responsible for cel

73 Gene regulatory networks are multistable dynamical syste

74 Gene regulatory networks are pivotal for many biological

75 ever, the enhancer repertoire and associated gene regulatory networks are poorly defined.

76 We propose that gene regulatory networks are sufficiently interconnected

77 litates identification of new cell types and gene regulatory networks as well as dissection of the ki

78 In summary, we have identified a gene regulatory network associated with prion propagatio

79 Data Assimilations (PANDA) to construct the gene regulatory networks associated with good responders

80 ls possess distinct chromatin landscapes and gene regulatory networks associated with tumorigenesis a

81 the transcriptional regulation of downstream gene regulatory networks by ATAF1.

82 es have indicated these eRNAs play a role in gene regulatory networks by controlling promoter and enh

83 complex probability landscape of stochastic gene regulatory networks can further biologists' underst

84 The rewiring of gene regulatory networks can generate phenotypic novelty

85 We found that the topologies of adaptive gene regulatory networks can still be grouped into two g

86 Determining how the hierarchy in the gene regulatory networks changes with dynamically evolvi

87 We created a breast cancer gene regulatory network comprising transcription factors

88 Much progress has been made in deciphering gene regulatory networks computationally.

89 of genome-wide gene expression data to infer gene-regulatory networks conserved across species and br

90 TFAP2C participates in a gene regulatory network controlling cell growth and diff

91 To shed light on the gene regulatory network controlling flowering in tulip,

92 ation of these four TFs and PHO1;H3 in a new gene regulatory network controlling phosphate accumulati

93 Gene regulatory networks controlling functional activiti

94 brafish, chickens, mice, and humans, and the gene regulatory networks controlling proper PR specifica

95 Gene regulatory networks describe the interplay between

96 rm in the urochordate Ciona, where a related gene regulatory network determines cardiac or skeletal m

97 A high versus low cells express differential gene regulatory networks, differential sensitivity to th

98 In developing embryos, gene regulatory networks drive cells towards discrete te

99 nd establishes GATA6 as a nodal point in the gene regulatory network driving ICM lineage specificatio

100 contributes to ASD by perturbing an ancient gene regulatory network during human brain development.

101 e gene-flavonoid association and rebuilt the gene regulatory network during macrosclereid cell develo

102 and uncovered the dose-dependent rewiring of gene regulatory network during mating differentiation.

103 now inform interactive cellular pathways and gene regulatory networks enabling full-scale systems bio

104 This unique gene regulatory network, established by SOX17 and BLIMP1

105 Previous models of gene regulatory network evolution have shown that robust

106 inants and a remarkable opportunity to study gene regulatory network evolution.

107 olA) genes--suggesting that the chondrogenic gene regulatory network evolved in the common ancestor o

108 ced RET expression propagates throughout its gene regulatory network, exerting effects on both its po

109 We find that in two layers of this gene regulatory network, following depletion of bcd, ind

110 A hypothesized gene regulatory network for N was proposed.

111 e results provide a framework for building a gene regulatory network for neurogenesis in the sea urch

112 vides new insight into the complexity of the gene regulatory network for proanthocyanidin synthesis i

113 new algorithms to these data and identified gene regulatory networks for a set of trophoblastic prot

114 pigenetic mechanism is important for priming gene regulatory networks for critical cell fate decision

115 target genes is a first step in identifying gene regulatory networks for hair-cell development and m

116 source of 394 cell type- and tissue-specific gene regulatory networks for human, each specifying the

117 to extract the topological information of a gene regulatory network from single-cell gene expression

118 ethodology for the inference of differential gene regulatory networks from gene expression microarray

119 Inference of gene regulatory networks from high throughput measuremen

120 The accurate reconstruction of gene regulatory networks from large scale molecular prof

121 Our study focuses on discovering gene regulatory networks from time series gene expressio

122 these myogenic progenitors, where different gene regulatory networks function, with T-box factor 1 (

123 These new insights into EpiSC gene regulatory networks gained from this study are high

124 pocampi from 129 TLE patients, we identify a gene-regulatory network genetically associated with epil

125 Gene regulatory networks govern the function of key cell

126 risk variants can be found in members of the gene regulatory network governing periderm differentiati

127 In an A. thaliana developmental gene regulatory network, GRACE recovers cell cycle relat

128 AGL24) overexpressors, we conducted dynamic gene regulatory network (GRN) and epigenetic landscape m

129 ial inputs into the cnidarian endomesodermal gene regulatory network (GRN) at the onset of gastrulati

130 factors (TFs) and microRNAs (miRNAs) form a gene regulatory network (GRN) at the transcriptional and

131 ysis targeting the dorsal-ventral patterning gene regulatory network (GRN) controlled by Drosophila N

132 A gene regulatory network (GRN) controls the specification

133 We reconstructed the global F. graminearum gene regulatory network (GRN) from a large collection of

134 Gene regulatory network (GRN) inference based on genomic

135 In this study, we propose a gene regulatory network (GRN) model that promotes myogen

136 alable algorithm for identifying genome-wide gene regulatory network (GRN) structures, and we have ve

137 y work has been carried out to determine the gene regulatory network (GRN) that results in plant cell

138 The gene regulatory network (GRN) that supports neural stem

139 A transcriptional gene regulatory network (GRN) that underlies the specifi

140 that stress pathways interact with the auxin gene regulatory network (GRN) through transcription of t

141 olved within the context of the well-defined gene regulatory network (GRN) underlying sea urchin deve

142 tepidariorum have provided insights into the gene regulatory network (GRN) underlying segment additio

143 ining in silico modelling of a reconstructed gene regulatory network (GRN) with in vitro validation o

144 identify the operational interactions in the gene regulatory network (GRN), corresponding to specific

145 sion of the NF-kappaB-dependent inflammatory gene regulatory network (GRN), including the IFN respons

146 to test the biological significance of these gene regulatory networks (GRN).

147 eir formation is regulated by a hierarchical gene-regulatory network (GRN).

148 Developmental gene regulatory networks (GRNs) are assemblages of gene

149 Like many complex networks, these gene regulatory networks (GRNs) are composed of communit

150 Coexpression networks and gene regulatory networks (GRNs) are emerging as importan

151 Gene regulatory networks (GRNs) are highly dynamic among

152 Dynamical models of gene regulatory networks (GRNs) are highly effective in

153 ng these unique programs, archaeal cells use gene regulatory networks (GRNs) composed of transcriptio

154 Gene regulatory networks (GRNs) comprising interactions

155 To understand the gene regulatory networks (GRNs) driving this phase of he

156 Animal behavior is ultimately the product of gene regulatory networks (GRNs) for brain development an

157 Reconstructing gene regulatory networks (GRNs) from expression data pla

158 Reconstruction of gene regulatory networks (GRNs) from gene expression pro

159 Reconstructing the topology of gene regulatory networks (GRNs) from time series of gene

160 The ability to jointly learn gene regulatory networks (GRNs) in, or leverage GRNs bet

161 Modeling dynamic gene regulatory networks (GRNs) is a new frontier in sys

162 To identify gene regulatory networks (GRNs) mediating the transition

163 Gene regulatory networks (GRNs) provide a systems-level

164 Gene regulatory networks (GRNs) provide a transformation

165 Analyses of gene regulatory networks (GRNs) provide the ability to u

166 Gene regulatory networks (GRNs) regulate critical events

167 Establishing the architecture of gene regulatory networks (GRNs) relies on chromatin immu

168 In Xenopus, we have been studying the gene regulatory networks (GRNs) required for the formati

169 Understanding the Gene Regulatory Networks (GRNs) that underlie developmen

170 The reconstruction of gene regulatory networks (GRNs) using single cell transc

171 TFs and their target genes are organized in gene regulatory networks (GRNs), and thus uncovering GRN

172 To reconstruct Pax6-dependent gene regulatory networks (GRNs), ChIP-seq studies were p

173 modules with equivalent underlying odontode gene regulatory networks (GRNs).

174 changes that have restructured developmental gene regulatory networks (GRNs).

175 binding and transcriptome data to construct gene regulatory networks (GRNs).

176 e opportunity to understand the evolution of gene regulatory networks (GRNs).

177 es of linear regulatory chains (LRCs) within gene regulatory networks (GRNs).

178 y modules (CRMs) working together in sets of gene regulatory networks (GRNs).

179 ns in the structure of encoded developmental gene-regulatory networks (GRNs).

180 Our findings indicate that the pair-rule gene regulatory network has a temporally modulated topol

181 Although a bistable gene regulatory network has been proposed to regulate th

182 The topology of the gene-regulatory network has been extensively analyzed.

183 mplex dynamics-from inorganic oscillators to gene regulatory networks-have been long known but either

184 binatorial regulation is a common feature in gene regulatory networks, how it evolves and affects net

185 data from GWAS to functional pathways from a gene regulatory network identified known genes with high

186 ental studies, we used the CNSs to compile a gene regulatory network in Arabidopsis thaliana containi

187 from extra-embryonic tissues induce a unique gene regulatory network in germline-competent cells for

188 Together, our data elucidate a comprehensive gene regulatory network in podocytes suggesting that WT1

189 (hypersensitive response and pathogenicity) gene regulatory network in Pseudomonas syringae.

190 nt a thorough analysis of the co-option of a gene regulatory network in the origin of an evolutionary

191 en on identifying its direct targets and the gene regulatory network in which it operates.

192 etic differences among individuals influence gene regulatory networks in any organism for which gene

193 expressed and integrated into photosynthesis gene regulatory networks in C4 leaves.

194 R is generally applicable to the analysis of gene regulatory networks in human cells.

195 rence that allows simultaneous estimation of gene regulatory networks in multiple species or biologic

196 el, implicating the involvement of different gene regulatory networks in nerve regeneration, neuronal

197 nderstanding of the temporal organisation of gene regulatory networks in the early Xenopus embryo.

198 d ARF transcription factors produces complex gene-regulatory networks in plants.

199 as a transcription factor in the osteoblast gene regulatory network induced during bone development

200 ion, we developed an algorithm called GRACE (Gene Regulatory network inference ACcuracy Enhancement).

201 everal stem cell populations and developed a gene regulatory network inference algorithm that combine

202 To improve the accuracy of gene regulatory network inference and facilitate candida

203 However, gene regulatory network inference for most eukaryotic or

204 between Networks for Data Assimilation) is a gene regulatory network inference method that uses messa

205 In the context of gene regulatory network inference, network rewiring resu

206 named iRafNet: integrative random forest for gene regulatory network inference.

207 tely predicted by the chromatin profiles and gene regulatory networks inferred for IGHV-mutated versu

208 at this stage in the (over)interpretation of gene regulatory networks inferred from biological data.

209 d provide empirical support for a convergent gene-regulatory network influencing cognition and neurod

210 tomes and to provide a blueprint to identify gene regulatory network involved in a given biological p

211 gene identities suggest that NKD controls a gene regulatory network involved in aleurone cell fate s

212 source for probing mechanistic insights into gene regulatory networks involved in the differentiation

213 ctuations and the topology of the underlying gene regulatory network is of fundamental importance for

214 well integrated and hierarchically organized gene regulatory network is responsible for the progressi

215 wing amount of knowledge about signaling and gene regulatory networks is available in databases such

216 Understanding gene regulatory networks is critical to understanding ce

217 vs divergence in the configuration of these gene regulatory networks is less clear.

218 sing number of molecular species involved in gene regulatory networks, it is hard to obtain an intuit

219 To fully understand gene regulatory networks, it is therefore critical to ac

220 As have emerged as an important component of gene regulatory networks, it remains unclear how microRN

221 gorithms outperformed other state-of-the-art gene regulatory network learning algorithms.

222 A gene regulatory network links transcription factors to t

223 results suggest that a miR-200, ZEB1, GRHL2 gene regulatory network may drive sarcoma cells to a mor

224 Multilayered hierarchical gene regulatory networks (ML-hGRNs) are very important f

225 f our framework by confronting a large-scale gene regulatory network model of Escherichia coli with h

226 ow this barrier might be overcome, we used a gene regulatory network model which includes epigenetic

227 MTB to decipher a predictive, systems-scale gene regulatory network model.

228 e association studies and natural variation, gene regulatory networks, modeling and systems biology,

229 ous noise-induced switching for a ubiquitous gene regulatory network motif, the bistable toggle switc

230 differentiation is exerted through specific gene regulatory network motifs.

231 ed the differential connectivity between the gene regulatory network of good responders versus that o

232 ocess of self-organization that emerges from gene regulatory networks of differentiating stem cells.

233 nity for deriving shared and tissue specific gene regulatory networks on the basis of co-expression b

234 h based on the assembly and interrogation of gene regulatory networks, or interactomes, was used to s

235 ur work illuminates the complexity of the JA gene regulatory network, pinpoints and validates previou

236 10(6) pairs of genes allowed us to constrain gene regulatory networks, predict novel functions for ma

237 ranscription factor binding sites (TFBS) and gene regulatory network predictions based on gene positi

238 ly updated model of the T-cell specification gene regulatory network presented herein.

239 egulators is discussed in the context of the gene regulatory network proposed for the specification o

240 Our findings provide insights into the gene regulatory network regulating placodal neurogenesis

241 the amount of conservation within the 'eye' gene regulatory network remains controversial, with few

242 Deciphering gene regulatory networks requires identification of gene

243 marked chromatin and activating hierarchical gene regulatory networks responsible for embryonic patte

244 Gene regulatory networks reveal how genes work together

245 l regulation allows for rapid expansion of a gene regulatory network's targets, possibly extending it

246 e experimentally demonstrated how underlying gene regulatory networks shape the landscape and hence o

247 Besides the intracellular gene regulatory network, specification is also controlle

248 We consider the problem of reconstructing a gene regulatory network structure from limited time seri

249 m miRNAs are integrated into innate immunity gene regulatory networks, such that this family of miRNA

250 Our experiments on human gene regulatory networks suggest that our method may be

251 Thus, this study identifies the gene regulatory network that confers malignant potential

252 Alx1 is a pivotal transcription factor in a gene regulatory network that controls skeletogenesis thr

253 tion result from evolutionary changes in the gene regulatory network that controls the activity of a

254 inical importance, little is known about the gene regulatory network that dictates the fast conductio

255 n combination with other factors, controls a gene regulatory network that ensures rice floret develop

256 Therefore, we constructed a gene regulatory network that identifies the set of bZIPs

257 These cells are controlled by a gene regulatory network that includes Fgf8, Fgf10 and Tb

258 g of jawed vertebrates is a highly conserved gene regulatory network that integrates hindbrain segmen

259 The failures in the gene regulatory network that lead to cancer are abstract

260 ll studied, nuclear signaling components and gene regulatory networks that bestow therapeutic resista

261 Although gene regulatory networks that control skeletal muscle at

262 To understand the gene regulatory networks that control this differentiati

263 l control to major signalling components and gene regulatory networks that diversifies gene expressio

264 s data and to build predictive models of the gene regulatory networks that drive the sequence of cell

265 ble new resource to enable the prediction of gene regulatory networks that is required for specialize

266 The complexity of gene regulatory networks that lead multipotent cells to

267 rmed an RNA interference screen to delineate gene regulatory networks that mediate LEN responsiveness

268 they are implicated in the marked changes in gene regulatory networks that occur in various cancers.

269 ribed in breast cancer cells direct critical gene regulatory networks that promote pathogenesis.

270 been learnt about growth factor signals and gene regulatory networks that regulate neural crest deve

271 ison unveiled a detailed Brachyury-dependent gene-regulatory network that directly links the function

272 the learning of Gaussian graphical models of gene regulatory networks, that enables us to perform Bay

273 the expression of therapeutically important gene regulatory networks through the recruitment of tran

274 eprogramming during senescence; however, the gene regulatory networks through which they exert their

275 pivotal transcription factors in the ES cell gene regulatory network to sustain naive identity.

276 t and discuss how these function together in gene regulatory networks to control photoreceptor cell f

277 analyses of the immune system, ranging from gene regulatory networks to influenza pathogenesis and s

278 lgorithm, NetSurgeon, which uses genome-wide gene-regulatory networks to identify interventions that

279 mixed model that first learns local directed gene-regulatory networks to then condition on the expres

280 erarchy of the genes in dynamically evolving gene regulatory network topologies.

281 Gene regulatory networks underlie the long-term changes

282 chick embryo, we uncover novel genes in the gene regulatory network underlying otic commitment and r

283 We used these data to construct gene regulatory networks underlying neural fate acquisit

284 This analysis identified several aspects of gene-regulatory networks underlying human MGE specificat

285 Pmar1, Alx1, Snail and VegfR7 within the PMC gene regulatory network using reporter constructs.

286 While many algorithms exist to infer a gene regulatory network, very few of them are able to ha

287 ogical systems, while offering insights into gene regulatory networks via synexpression analysis.

288 with these DNA binding data, a snapshot of a gene regulatory network was deduced where targets, such

289 CLIP2 in radiation-associated PTC, the CLIP2 gene regulatory network was reconstructed using global m

290 elucidate the comprehensive PROP1-dependent gene regulatory network, we conducted genome-wide analys

291 To elaborate on the CNC gene regulatory network, we evaluated the effects of kno

292 ild a probabilistic model for the underlying gene regulatory network, we further predict and experime

293 rchitecture and dynamic regulation of the JA gene regulatory network, we performed a high-resolution

294 Gene regulatory networks were generated by comparing dif

295 y into the myogenic program is controlled by gene regulatory networks, where paired box gene 3 (Pax3)

296 amics of anterior SHH induction we predict a gene regulatory network which may contribute to activati

297 onic stem cell-specific alternative splicing gene regulatory network, which is repressed by Musclebli

298 e leaf, which are specified via an intricate gene regulatory network whose precise circuitry remains

299 ong cells, it is useful for reconstructing a gene regulatory network with as few assumptions as possi

300 is show that nonsomitic neck muscles share a gene regulatory network with cardiac progenitor cells in