ライフサイエンスコーパス: regulatory network

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

2 ured in a chronological model of the JA gene regulatory network.

3 se are linked to genes in the pluripotential regulatory network.

4 d the 3-node FFLs to construct a CRC-related regulatory network.

5 se of a poor understanding of the associated regulatory network.

6 le image analysis to learn a complex protein regulatory network.

7 hanges in the DNase I hypersensitivity based regulatory network.

8 t into core components of the pluripotential regulatory network.

9 utions of the individual members of a dynein regulatory network.

10 ortant components of the protein degradation regulatory network.

11 ne response, indicating their role in stress regulatory network.

12 d ncRNAs that are involved in a TF-dependent regulatory network.

13 patterns was associated with a distinct gene regulatory network.

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

15 n describing the behaviour of stem cell gene regulatory networks.

16 omplex, interconnected positive and negative regulatory networks.

17 ssion that are likely integrated into larger regulatory networks.

18 tissue organization, and the underlying gene regulatory networks.

19 ical genes associated with anther and pollen regulatory networks.

20 teins, which implies extensive translational regulatory networks.

21 one of fundamental motifs of gene or protein regulatory networks.

22 otein-protein interaction networks, and gene regulatory networks.

23 nd its consequences for post-transcriptional regulatory networks.

24 have been used successfully in modeling gene regulatory networks.

25 number of genes with cooperative function in regulatory networks.

26 ntial step in elucidation of transcriptional regulatory networks.

27 n illuminate components of TF-dependent gene regulatory networks.

28 anges suggests the involvement of additional regulatory networks.

29 or eons have catalysed the evolution of gene-regulatory networks.

30 anscription factors are organized in genetic regulatory networks.

31 remain poorly explored within the context of regulatory networks.

32 esign and construction of more sophisticated regulatory networks.

33 grams that can be modeled as transcriptional regulatory networks.

34 ides interactive visualizations of the G-box regulatory network, a useful resource for generating pre

35 Whereas conservation of gene regulatory networks across higher taxa supports generali

36 the protein and long noncoding RNA (lncRNA) regulatory networks act in concert to regulate key aspec

37 llular and unicellular regions of human gene regulatory networks activate primitive transcriptional p

38 stems biology approach to construct an miRNA regulatory network activated in macrophages during Mtb i

39 cription factors and chromatin dictates gene regulatory network activity.

40 mically controlled cells is a dual-timescale regulatory network: although long-term fate decisions ar

41 we demonstrate the application to cell cycle regulatory network analysis for Saccharomyces cerevisiae

42 Trans-regulatory network analysis suggested that many lncRNAs

43 Through regulatory network analysis, we show that JunB is a core

44 as marked by a reduced association with this regulatory network and dysregulation of endosomal recept

45 Thus, Usp9x modulates the Ets-1/NRAS regulatory network and may have biologic and therapeutic

46 e computed probabilistic landscape of a gene regulatory network and of a toggle-switch network.

47 nts points to the existence of an intriguing regulatory network and poses questions as to the functio

48 ubunits at the core of the pluripotency gene regulatory network and will enhance our ability to contr

49 s to gain a sufficient understanding of gene regulatory networks and cell-cell interactions to enable

50 Moreover, transcriptional regulatory networks and electronic circuits are much mor

51 inference algorithm to infer stress-specific regulatory networks and for regulator prioritization.

52 rk's applicability in dynamic models of gene regulatory networks and identify nodes whose override is

53 advances have been made in understanding the regulatory networks and ion fluxes in the guard cells su

54 nd our results have revealed transcriptional regulatory networks and new factors (eg, ZEB1) controlli

55 These findings demonstrate plasticity in RNA regulatory networks and suggest ways in which their rewi

56 entifying such mediators helps us understand regulatory networks and suggests biological mechanisms u

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

58 ry contribution to our understanding of gene regulatory networks and their evolution is acknowledged.

59 dies also provide new insights into the gene regulatory networks and/or dynamic cellular processes un

60 l lines and whole tissues to reveal critical regulatory networks, and candidate-based evaluations of

61 tems for biochemical reaction networks, gene regulatory networks, and evolutionary game theory.

62 kinetics of the subpopulations, elucidating regulatory networks, and finding key regulators.

63 The method can be used to find potential regulatory networks, and it may also be used as a pre-pr

64 vely investigate diverse cellular processes, regulatory networks, and multicellular interactions.

65 rat, our results show that the steroidogenic regulatory network architecture is sufficient to respond

66 Together, the data define a regulatory network architecture that balances the genera

67 tent to which cell- and tissue-specific gene regulatory networks are established.

68 Homeostatic systems that rely on genetic regulatory networks are intrinsically limited by the tra

69 Gene regulatory networks are largely responsible for cellular

70 We propose that gene regulatory networks are sufficiently interconnected such

71 In this paper, we reconstruct the regulatory network around E2F, a family of transcription

72 Here, the authors construct a map of the regulatory network around the E2F family, and using gene

73 en homeostasis is maintained by an intricate regulatory network around transcription factor NtcA.

74 impedes the construction of larger synthetic regulatory networks as leak propagation can interfere wi

75 Assimilations (PANDA) to construct the gene regulatory networks associated with good responders and

76 ssess distinct chromatin landscapes and gene regulatory networks associated with tumorigenesis and EM

77 Mathematical modelling was used to create regulatory networks based on wild-type RNA and protein e

78 ere, we define key mechanistic elements in a regulatory network by which cytokinin inhibits root cell

79 ve indicated these eRNAs play a role in gene regulatory networks by controlling promoter and enhancer

80 lex probability landscape of stochastic gene regulatory networks can further biologists' understandin

81 The rewiring of gene regulatory networks can generate phenotypic novelty.

82 e found that the topologies of adaptive gene regulatory networks can still be grouped into two genera

83 GRACE's potential to produce high confidence regulatory networks compared to state of the art approac

84 phal formation is controlled by a multilayer regulatory network composed of environmental sensing, si

85 h progress has been made in deciphering gene regulatory networks computationally.

86 These findings demonstrate that host AIC regulatory networks confer susceptibility to infection a

87 -phosphotransferase system (PTS) is a global regulatory network connecting sugar uptake with signal t

88 For example, transcriptional regulatory networks consist of interactions among protei

89 ion data in CRC, whereby we generated a core regulatory network consisting of 58 significant FFLs.

90 Alterations in regulatory networks contribute to evolutionary change.

91 e conclude that Grh and Vvl participate in a regulatory network controlling epithelial maturation.

92 To shed light on the gene regulatory network controlling flowering in tulip, RNA s

93 Our data suggest the existence of a complex regulatory network controlling Longus expression, involv

94 of these four TFs and PHO1;H3 in a new gene regulatory network controlling phosphate accumulation in

95 e that ILT3 may functionally contribute to a regulatory network controlling tumor progression by supp

96 o facilitate EMT in various cancers, but the regulatory networks controlling CD133 gene expression an

97 Therefore, understanding of regulatory networks controlling its functions is critica

98 the urochordate Ciona, where a related gene regulatory network determines cardiac or skeletal muscle

99 h versus low cells express differential gene regulatory networks, differential sensitivity to the dru

100 To gain a comprehensive understanding of the regulatory network driving host response to multiple inf

101 cies could arise in part, by the rewiring of regulatory network due to changes in the global targets

102 e-flavonoid association and rebuilt the gene regulatory network during macrosclereid cell development

103 ncovered the dose-dependent rewiring of gene regulatory network during mating differentiation.

104 mprove understanding of post-transcriptional regulatory networks during mouse lens development.

105 here to analyze the underlying signaling and regulatory network dynamics.

106 ntroducing novel connections in the cellular regulatory network enabled us to increase the production

107 This miRNA-based regulatory network enables a robust yet time-limited inf

108 quencing), we have assembled a comprehensive regulatory network encompassing the main transcription f

109 A hypothesized gene regulatory network for N was proposed.

110 ur findings highlight a novel mTOR-dependent regulatory network for nutrient transport in renal proxi

111 new insight into the complexity of the gene regulatory network for proanthocyanidin synthesis in pop

112 at ancient paralogues can remain in the same regulatory networks for dozens of millions of years.

113 ibutes to our understanding of metabolic and regulatory networks for vitamin homeostasis in Archaea.

114 xtract the topological information of a gene regulatory network from single-cell gene expression data

115 e myogenic progenitors, where different gene regulatory networks function, with T-box factor 1 (Tbx1)

116 h methylation alterations capable of shaping regulatory network functions.

117 These new insights into EpiSC gene regulatory networks gained from this study are highly re

118 apping results indicate that although floral regulatory network genes contribute substantially to fie

119 Gene regulatory networks govern the function of key cellular

120 the chromatin landscape and Blimp1-dependent regulatory networks governing trophoblast gene expressio

121 In an A. thaliana developmental gene regulatory network, GRACE recovers cell cycle related re

122 nputs into the cnidarian endomesodermal gene regulatory network (GRN) at the onset of gastrulation (2

123 A gene regulatory network (GRN) controls the specification, del

124 e algorithm for identifying genome-wide gene regulatory network (GRN) structures, and we have verifie

125 k has been carried out to determine the gene regulatory network (GRN) that results in plant cells bec

126 stress pathways interact with the auxin gene regulatory network (GRN) through transcription of the Au

127 within the context of the well-defined gene regulatory network (GRN) underlying sea urchin developme

128 in silico modelling of a reconstructed gene regulatory network (GRN) with in vitro validation of the

129 of the NF-kappaB-dependent inflammatory gene regulatory network (GRN), including the IFN response fac

130 st the biological significance of these gene regulatory networks (GRN).

131 Developmental gene regulatory networks (GRNs) are assemblages of gene regul

132 Like many complex networks, these gene regulatory networks (GRNs) are composed of communities,

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

134 ese unique programs, archaeal cells use gene regulatory networks (GRNs) composed of transcription fac

135 To understand the gene regulatory networks (GRNs) driving this phase of heart d

136 l behavior is ultimately the product of gene regulatory networks (GRNs) for brain development and neu

137 Reconstructing gene regulatory networks (GRNs) from expression data plays an

138 Reconstruction of gene regulatory networks (GRNs) from gene expression profiles

139 Gene regulatory networks (GRNs) provide a transformation func

140 Analyses of gene regulatory networks (GRNs) provide the ability to unders

141 In Xenopus, we have been studying the gene regulatory networks (GRNs) required for the formation of

142 The reconstruction of gene regulatory networks (GRNs) using single cell transcripti

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

144 linear regulatory chains (LRCs) within gene regulatory networks (GRNs).

145 ules (CRMs) working together in sets of gene regulatory networks (GRNs).

146 es that have restructured developmental gene regulatory networks (GRNs).

147 ortunity to understand the evolution of gene regulatory networks (GRNs).

148 dynamics-from inorganic oscillators to gene regulatory networks-have been long known but either cann

149 orial regulation is a common feature in gene regulatory networks, how it evolves and affects network

150 e is among the most popular methods to infer regulatory networks, however, networks inferred from suc

151 from GWAS to functional pathways from a gene regulatory network identified known genes with high corr

152 The key genes and regulatory network improve our understanding of the mole

153 genes through the construction of a miRNA-TF regulatory network in CRC.

154 Here the authors reveal a regulatory network in gastric cancer whereby claudin-4 e

155 e functional activity in the transcriptional regulatory network in mouse but not human.

156 aracterize the conserved elements of the SOS regulatory network in Patescibacteria.

157 However, the IRF7 regulatory network in pDCs remains largely unknown.

158 ild progenitor of soybean, to understand its regulatory network in SCN defense.

159 y, which cooperates with the transcriptional regulatory network in sustaining ESC self-renewal.

160 ate the emerging concept of a protein-lncRNA regulatory network in the control of adipose tissue biol

161 s an unexpectedly large post-transcriptional regulatory network in this organism, comprising 23 sRNAs

162 identifying its direct targets and the gene regulatory network in which it operates.

163 gy enables perturbation of the metabolic and regulatory networks in a modular, parallel, and high-thr

164 ed base pairing with mRNAs, are part of most regulatory networks in bacteria.

165 To investigate common regulatory networks in both neural and glioblastoma stem

166 future investigation into enhancer-mediated regulatory networks in cutaneous biology.

167 ss-species approach identified unanticipated regulatory networks in mesodermal cells with growth-supp

168 criptome signified the crucial roles for RNA regulatory networks in the normal development and their

169 isolates, and how the identified rewiring of regulatory networks in this serotype may be contributing

170 ies are linked with a broad range of complex regulatory networks, including a large set of genes invo

171 we developed an algorithm called GRACE (Gene Regulatory network inference ACcuracy Enhancement).

172 l stem cell populations and developed a gene regulatory network inference algorithm that combines clu

173 To address this gap, we first develop a regulatory network inference algorithm, based on probabi

174 To improve the accuracy of gene regulatory network inference and facilitate candidate se

175 However, gene regulatory network inference for most eukaryotic organis

176 en Networks for Data Assimilation) is a gene regulatory network inference method that uses message-pa

177 and to provide a blueprint to identify gene regulatory network involved in a given biological proces

178 Our results revealed a comprehensive regulatory network involved in SCN resistance and provid

179 ally expressed genes was used to reconstruct regulatory networks involved in differentiation.

180 y with G4 DNA, which underscored the complex regulatory networks involved in G4 biology.

181 these results provide new insights into the regulatory networks involved in memory CD8(+) T cell mai

182 tions delineate a novel post-transcriptional regulatory network involving carbohydrate metabolism and

183 This study provides new insight into a regulatory network involving combinatorial interactions

184 lopmental process is controlled by a complex regulatory network involving cytokines and their recepto

185 high-resolution three-dimensional integrated regulatory network (iRegNet3D) in the form of a web tool

186 ions and the topology of the underlying gene regulatory network is of fundamental importance for the

187 ant molecular mechanism that forms the elt-2 regulatory network is robust and flexible, as loss of en

188 Inference of genome-wide regulatory networks is central to understanding gene reg

189 The evolution of RNA-protein regulatory networks is far less understood.

190 ivergence in the configuration of these gene regulatory networks is less clear.

191 To fully understand gene regulatory networks, it is therefore critical to accurat

192 Understanding the regulatory network linking lignin biosynthesis to plant

193 A gene regulatory network links transcription factors to their

194 ies the plasticity, dynamics, and novelty of regulatory networks mediated by WGD.

195 approach allowed us to infer transcriptional regulatory network models that recapitulated differentia

196 PROM framework to create enhanced metabolic-regulatory network models.

197 erentiation is exerted through specific gene regulatory network motifs.

198 gineered genetic circuits and the endogenous regulatory network of a host cell can have a significant

199 We sought to analyze the global splicing regulatory network of CELF2 in human T cells, a well-stu

200 non-coding RNAs play important roles in the regulatory network of Claudin-4.

201 w that Idr1 and Idr2 are part of an extended regulatory network of four TFs of the bacterial DtxR fam

202 nformation from literature, we constructed a regulatory network of genes and metabolites, from which

203 e differential connectivity between the gene regulatory network of good responders versus that of poo

204 ment may be regulated though a complex cross-regulatory network of HOXA1 and TALE proteins.

205 we lack a comprehensive understanding of the regulatory network of microglial activation.

206 We also investigated the regulatory network of miRNAs and corresponding targets i

207 sights into metabolite production and carbon regulatory network of rhizobia.

208 dentified DLX5 as part of the human-specific regulatory network of trophoblast differentiation.

209 a strategy to rewire the endogenous cellular regulatory network of yeast to enhance compatibility wit

210 Here, we characterized the regulatory network of YloA-dependent adhesive properties

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

212 ir small size and ability to target multiple regulatory networks of related sets of genes have predis

213 nscriptome analysis revealed spatio-temporal regulatory networks of transcription factors, imprinted

214 Whether a similar regulatory network operates in mammals to control emerge

215 rk illuminates the complexity of the JA gene regulatory network, pinpoints and validates previously u

216 dated model of the T-cell specification gene regulatory network presented herein.

217 osynthesis of the archaellum is regulated by regulatory network proteins that control expression of a

218 on with GT-box binding factors, other AtBMI1 regulatory networks require participation of different f

219 Deciphering gene regulatory networks requires identification of gene expr

220 he MRTF-SRF and the YAP-TEAD transcriptional regulatory networks respond to extracellular signals and

221 This Qk isoform cross-regulatory network responds to additional cell type and

222 d chromatin and activating hierarchical gene regulatory networks responsible for embryonic patterning

223 Gene regulatory networks reveal how genes work together to ca

224 tor binding motifs enabled us to construct a regulatory network revealing potential key layer-specifi

225 In addition, the constructed time-dependent regulatory network reveals some TFs including Egr2 as ne

226 Innovative approaches combining regulatory networks (RN) and genomic data are needed to

227 ulation allows for rapid expansion of a gene regulatory network's targets, possibly extending its phy

228 erimentally demonstrated how underlying gene regulatory networks shape the landscape and hence orches

229 Transcriptional regulatory networks specify regulatory proteins controll

230 hematical model of the adrenal steroidogenic regulatory network that accounts for key regulatory proc

231 BldD-(c-di-GMP) sits on top of the regulatory network that controls differentiation in Stre

232 ound tissue lineage and acts upstream of the regulatory network that controls ground tissue patternin

233 is a pivotal transcription factor in a gene regulatory network that controls skeletogenesis througho

234 mammalian tumour suppressor proteins form a regulatory network that coordinates cell proliferation w

235 Here, we describe a miRNA-based regulatory network that enables precise NF-kappaB activi

236 The circadian clock is a complex regulatory network that enhances plant growth and fitnes

237 ation between Plk3 and SIAH2 and uncovered a regulatory network that functions to fine-tune the cellu

238 an excellent model system to investigate the regulatory network that governs flavonoid biosynthesis.

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

240 nticipated role for p53 family proteins in a regulatory network that integrates essential Wnt-Tcf and

241 In this study, we outline a regulatory network that involves the p53 tumor suppresso

242 ctivation, and further characterize the IRF4 regulatory network that is a promising therapeutic targe

243 We define an IEC transcriptional regulatory network that is shared between fish and mamma

244 The failures in the gene regulatory network that lead to cancer are abstracted as

245 Therefore, investigating the regulatory network that modulates Th17 differentiation m

246 folded protein response (UPR), a homeostatic regulatory network that responds to ER stress, is a hall

247 a (CLL) patients suggests the existence of a regulatory network that restrains the proliferation of t

248 yrosine activity in a complex environment of regulatory networks that affect signal initiation, propa

249 to provide new insight into transcriptional regulatory networks that control photosynthesis gene exp

250 Although gene regulatory networks that control skeletal muscle atrophy

251 To understand the gene regulatory networks that control this differentiation sw

252 evealed that mangroves exhibit distinct sRNA regulatory networks that differ from those of glycophyte

253 trol to major signalling components and gene regulatory networks that diversifies gene expression spa

254 as greatly advanced our understanding of the regulatory networks that drive pathological changes in t

255 a and to build predictive models of the gene regulatory networks that drive the sequence of cell fate

256 approaches are commonly used to identify key regulatory networks that drive transcriptional programs.

257 Regulatory networks that include the Gata2 transcription

258 ew resource to enable the prediction of gene regulatory networks that is required for specialized dev

259 The complexity of gene regulatory networks that lead multipotent cells to acqui

260 e competition effects in posttranscriptional regulatory networks that may arise over shared targets,

261 an RNA interference screen to delineate gene regulatory networks that mediate LEN responsiveness in a

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

263 disease-associated mutations may perturb the regulatory network through diverse mechanisms including

264 expression of therapeutically important gene regulatory networks through the recruitment of transcrip

265 However, regulatory networks through which this occurs are not we

266 opensity for rewiring genetic and epigenetic regulatory networks, thus enabling sustained cell prolif

267 DV) patterning is one of the best-understood regulatory networks to date, and illustrates the fundame

268 dissemination and targeted interventions in regulatory networks, to the development of mitigation po

269 chaea use bacterial-type TFs in a eukaryotic regulatory network topology to adapt to harsh environmen

270 Modeling of transcriptional regulatory networks (TRNs) has been increasingly used to

271 matically studied three-node transcriptional regulatory networks (TRNs), with three different types o

272 in their environment through transcriptional regulatory networks (TRNs).

273 Gene regulatory networks underlie the long-term changes in ce

274 k embryo, we uncover novel genes in the gene regulatory network underlying otic commitment and reveal

275 and co-occupancy studies revealed a complex regulatory network underlying the differentially bound r

276 However, how regulatory networks underlying a particular trait are re

277 ll types relevant to pathophysiology and the regulatory networks underlying disease.

278 er, our understanding of the transcriptional regulatory networks underlying early stages (ie, from me

279 analysis identified several aspects of gene-regulatory networks underlying human MGE specification a

280 nal perturbation to systemically reconstruct regulatory networks underlying T cell activation.

281 We elucidated the regulatory networks underlying tumorigenesis by combinin

282 switch function, by activating two distinct regulatory networks via its individual domains.

283 l systems, while offering insights into gene regulatory networks via synexpression analysis.

284 permit reassessment of post-transcriptional regulatory networks, via conserved miRNA and RNA binding

285 probabilistic model for the underlying gene regulatory network, we further predict and experimentall

286 ecture and dynamic regulation of the JA gene regulatory network, we performed a high-resolution RNA-s

287 In order to gain insights into immune regulatory networks, we examined the role of regulatory

288 We performed a weighted gene co-regulatory network (WGCNA) to analyze the gene-flavonoid

289 Our data further establish a regulatory network where co-activation of Toll/NF-kappaB

290 e integration of CsrA throughout the E. coli regulatory network, where it orchestrates vast effects o

291 o the myogenic program is controlled by gene regulatory networks, where paired box gene 3 (Pax3) play

292 This confirms a regulatory network whereby DUSP1 switches off MAPKs to m

293 illustrates the elasticity of the bacterial regulatory network, which can be rewired by a single sub

294 ummary, we generated a CRC-specific miRNA-TF regulatory network, which is helpful to understand the c

295 Our study reveals a complex regulatory network with bidirectional control of a funda

296 cific cardiomyocyte development by forming a regulatory network with SOX2 and MIR1.

297 large ACTH perturbations, but coupling this regulatory network with the immune pathway is necessary

298 Transcription factors (TFs) form a complex regulatory network within the cell that is crucial to ce

299 Efforts to model how signaling and regulatory networks work in cells have largely either no

300 ange of complex behaviors to transcriptional regulatory networks, yet such properties are typically d