ライフサイエンスコーパス: gene circuit

1 e to propose an integrated model for the fim gene circuit.

2 cture and biokinetic rates of the underlying gene circuit.

3 capture the full stochastic behavior of the gene circuit.

4 of noise arising from any source within the gene circuit.

5 ontrol transcription from a simple synthetic gene circuit.

6 e library of components for use in synthetic gene circuits.

7 ofiles and facilitate mathematical models of gene circuits.

8 , and experimentally, using simple synthetic gene circuits.

9 nce of regulatory interactions in endogenous gene circuits.

10 roposed as mechanisms for decision making in gene circuits.

11 gical networks and for engineering synthetic gene circuits.

12 atural networks and designing noise-tolerant gene circuits.

13 tematic experimental or theoretical study of gene circuits.

14 rinsic noise within negatively autoregulated gene circuits.

15 y through the predictive design of synthetic gene circuits.

16 ibe and predict the behaviours of engineered gene circuits.

17 ting and expanding the function of synthetic gene circuits.

18 cell metabolism, cell biology and synthetic gene circuits.

19 xamine the sources of variability in dynamic gene circuits.

20 iding new ways to engineer arbitrary complex gene circuits.

21 onents can be used for large-scale synthetic gene circuits.

22 'smart bioparticles' controlled by designed gene circuits.

23 eloped numerous parts for building synthetic gene circuits.

24 thetic biologists have gone from single-cell gene circuits(8-11) to controlling whole populations usi

25 Adaptability of synthetic gene circuits across different organisms could enable a

26 However, the processes affecting gene circuit adaptability have not been systematically i

27 ble circuit performance such as insulating a gene circuit against unwanted interactions with its cont

28 Synthetic gene circuits allow the behavior of living cells to be r

29 le that adds a layer of control to synthetic gene circuits, allowing dynamic regulation of circuit el

30 emonstrating the probative value of noise in gene circuit analysis.

31 oise transmission through this signaling and gene circuit, analyzing data obtained from 43,775 indivi

32 rgue that f(c) is an intrinsic property of a gene circuit and it varies with circuit parameters and a

33 urate predictive design of complex synthetic gene circuits and accompanying large sets of quality mod

34 ew how CRISPR can be used to build synthetic gene circuits and discuss recent advances in CRISPR-medi

35 regulation of regulator genes in repressible gene circuits and lead to testable predictions, which we

36 toolkit can be used for programming scalable gene circuits and perturbing endogenous networks for bio

37 t, facilitating the understanding of natural gene circuits and the design of cell-based therapeutic s

38 tresses in development impact the underlying gene circuits and, if so, how?

39 tics may serve to 'fill in the gaps' between genes, circuits and behavior, in a manner that should he

40 f the architecture of the mutual suppression gene circuit, and thus is a design option readily availa

41 ermination by viruses, dynamics of synthetic gene circuits, and constraints on evolutionary adaptatio

42 netic switches, rapid prototyping of complex gene circuits, and programmable in vitro diagnostics, in

43 mics and the noise behavior of autoregulated gene circuits, and this T-based technique provides a sim

44 tegrated logic and memory by using synthetic gene circuits, and we demonstrated the implementation of

45 investigations into the interactions between genes, circuits, and computation.

46 se intrinsic to a prototypical two-component gene-circuit architecture composed of interacting positi

47 biological role for noise that is encoded in gene circuit architectures.

48 L and IPTG signals with a synthetic AND gate gene circuit are shown to respond only in the presence o

49 Synthetic gene circuits are designed to program new biological beh

50 Gene circuits are dynamical systems that regulate cellul

51 Synthetic gene circuits are emerging as a versatile means to targe

52 However, synthetic gene circuits are often unreliable, as changes to enviro

53 ur of an inducible, negatively autoregulated gene circuit arranged in different transcriptional confi

54 erturbations that interact directly with the gene circuit as well as for a variety of generic perturb

55 ed to the investigation of specific bacteria gene circuits as functioning modules.

56 genetic regulatory elements, genes and multi-gene circuits as well as facile development of libraries

57 However, as synthetic gene circuits become larger and more complicated, we are

58 k advances our quantitative understanding of gene circuit behaviours and also benefits the rational d

59 medium for the safe deployment of engineered gene circuits beyond the lab.

60 ynthetic biology devices, such as engineered gene circuits, bring new capabilities to molecular diagn

61 an regulatory networks including the largest gene circuit built and chromosomally integrated to date

62 ntial parameter in the dynamics of synthetic gene circuits but typically is not explicitly considered

63 n the design and implementation of synthetic gene circuits, but real-world applications of such circu

64 This work demonstrates that synthetic gene circuits can be engineered to be robust to extracel

65 Here we demonstrate that synthetic analog gene circuits can be engineered to execute sophisticated

66 Autoregulatory gene circuits can be physically encoded within the genom

67 This coupling of elementary gene circuits can lead to three patterns of regulator an

68 st platform for building mammalian synthetic gene circuits capable of precisely modulating cellular b

69 rder to construct progressively more complex gene circuits capable of processing information in livin

70 Robust gene circuit construction requires use of promoters exhi

71 mics of a binary fate decision governed by a gene-circuit containing auto-stimulation and cross-inhib

72 aracterized an inducible, bistable synthetic gene circuit controlling the expression of a bifunctiona

73 This gene circuit defines segments sequentially in double seg

74 , making them especially useful as synthetic gene circuit design equations.

75 A limiting factor in synthetic gene circuit design is the number of independent control

76 velopments have signalled the emergence of a gene circuit discipline, which provides a framework for

77 We show that, for prokaryotic gene circuits dominated by local promoter control, dynam

78 icroscopy is a powerful method for analyzing gene circuit dynamics and heterogeneous cell behavior.

79 alysis that remains valid for many important gene circuit elements even as molecular populations appr

80 ion, we apply this strategy to two synthetic gene circuits exhibiting anomalous behaviors.

81 Such synthetic analog gene circuits exploit feedback to implement logarithmica

82 esults suggest that the self-repressing Hes1 gene circuit exploits this phenomenon to generate robust

83 Frequently, theoretical studies of gene circuits focus on steady-state behaviors and do not

84 nd analysis of several large scale synthetic gene circuits for artificial tissue homeostasis.

85 ells derived from E. coli strains containing gene circuits for biosensing were able to transduce the

86 his framework enables development of complex gene circuits for engineering mammalian cells with unpre

87 r quick and reliable construction of complex gene circuits for genetically engineering mammalian cell

88 e emerging field of synthetic biology builds gene circuits for scientific, industrial and therapeutic

89 has implications in the design of synthetic gene circuits for this purpose.

90 ning the structure and biokinetic rates of a gene circuit from its noise autocorrelation function.

91 d be generally relevant for transferring any gene circuit from yeast into mammalian cells.

92 in the capability of engineering artificial gene circuits from transcription factors (TFs), particul

93 (TFs) but is capable of evolving any gene-or gene circuit function-that can be linked to conditional

94 Recently, synthetic gene circuits have become promising tools to achieve the

95 Although a variety of relatively small gene circuits have been constructed and characterized, t

96 Several fundamental gene circuits have been developed using this approach, i

97 cytoskeletal force dipoles, and the lamin A gene circuit illustrate the wide range of testable predi

98 ely address these questions, we engineered a gene circuit in Escherichia coli to control the synthesi

99 The clock gene circuit in plants comprises interlocking transcript

100 ay be either faster or slower than that of a gene circuit in which there is only one TF.

101 approach enables the construction of tunable gene circuits in complex eukaryotic organisms.

102 ling using mathematical models and synthetic gene circuits in Escherichia coli.

103 mponents and tools available for engineering gene circuits in microbes, including recently developed

104 ate large gene cassettes that encode complex gene circuits in order to avoid simultaneous delivery of

105 pression patterns of nearly 17 million three-gene circuits in order to systematically explore the rel

106 asingly complex, programmable, and efficient gene circuits in the future.

107 that connect noise, the architecture of the gene circuits in which it is present, and the biological

108 CPR is based on gene circuits in which the selection of a 'partner' func

109 De novo engineering of gene circuits inside cells is extremely difficult, and e

110 by single-cell data analysis of a synthetic gene circuit integrated in human kidney cells.

111 ure efforts to convert functional multi-copy gene circuits into optimized single-copy circuits for pr

112 Our results suggest that dynamics of a gene circuit is mainly determined by its topology, not b

113 ency content is determined by the underlying gene circuits, leading to a mapping between gene circuit

114 We show that noise-induced oscillations in a gene circuit model display stochastic coherence, that is

115 Here we present a gene circuit modelling framework that explicitly integra

116 Three separate gene-circuit models differing in the location of the pos

117 red predictably using exchangeable synthetic gene circuit modules to sense and integrate multiple-inp

118 Regulatory gene circuit motifs play crucial roles in performing and

119 rk, we demonstrate construction of synthetic gene circuits of up to 64 kb in size comprising 11 trans

120 an extent that is infeasible for engineered gene circuits or other cell-based technologies.

121 ts into gene regulation, as perturbations of gene circuit parameters are discernible in the measured

122 widely applicable for engineering artificial gene circuit parts.

123 present a proof-of-concept immunomodulatory gene circuit platform that enables tumor-specific expres

124 on of a negative feedback-based 'linearizer' gene circuit previously developed in yeast.

125 Regulatory interactions found in gap gene circuits provide consistent and sufficient mechanis

126 This pair-rule gene circuit provides insight into short-germ segmentati

127 dynamical analyses of synthetic and natural gene circuits, providing an essential step toward the pr

128 The construction of synthetic gene circuits relies on our ability to engineer regulato

129 Engineering of cell fate through synthetic gene circuits requires methods to precisely implement co

130 or future engineering of synthetic mammalian gene circuits requiring nonlinear responses to HGF signa

131 size of the crowding molecules can fine-tune gene circuit response to molecular crowding.

132 x, model is proposed for the dynamics of the gene circuit responsible for regulating nitrogen catabol

133 oretical analyses and simulations of various gene circuits show that the noise regulatory vector is c

134 ures of E. coli, and verify the link between gene circuit structure and noise spectra by demonstratin

135 gene circuits, leading to a mapping between gene circuit structure and the noise frequency range.

136 The analysis elucidates important aspects of gene circuit structure that control functionality, and m

137 oscillations, have been found in specialized gene circuits such as the bacteriophage lambda switch an

138 in qualitatively similar findings in natural gene circuits, such as the yeast GAL network.

139 By constructing simple gene circuits, such studies have generated new insights

140 Like other gene circuits, synthetic gene oscillators are noisy and

141 consider the design of a type of repressible gene circuit that is common in bacteria.

142 k control, we designed a synthetic mammalian gene circuit that maintains thyroid hormone homeostasis

143 olved from an adaptive temperature sensor: a gene circuit that responds only to temperature changes.

144 Synthetic gene circuits that combine DNA, protein, and RNA compone

145 We developed inducible synthetic gene circuits that generate varying degrees of expressio

146 mework supporting the forward engineering of gene circuits that incorporate RNAi-based regulatory com

147 nal genetic circuits and describe artificial gene circuits that perform digital and analog computatio

148 Therapeutic plug and play gene circuits that restore physiological feedback contro

149 Here we explore the potential for gene circuits that use each of these six mechanisms to e

150 these insulators are used to join synthetic gene circuits, the behavior of layered circuits can be p

151 that Tc-eve, Tc-run, and Tc-odd form a three-gene circuit to regulate one another as well as their do

152 n in sister cells, and by re-engineering the gene circuit to specifically block exit.

153 Our approach enabled the largest, eukaryotic gene circuits to date and will form the basis for large,

154 present a framework for building comparator gene circuits to digitize analogue inputs based on diffe

155 logue-to-digital circuits with other digital gene circuits to enable concentration-dependent logic.

156 hat can be harnessed by native and synthetic gene circuits to provide greater control over sRNA activ

157 Although there are thousands of three-gene circuit topologies that can robustly develop a stri

158 yses of biochemical activities or to trigger gene circuits using measured signaling events.

159 In modeling the system as a parsimonious gene circuit, we show that tension-dependent stabilizati

160 By modeling simple gene circuits, we analyze the impact of cellular noise o

161 Gene circuits were activated in materials with IPTG embe

162 involved in gap gene regulation based on gap gene circuits, which are mathematical gene network model

163 ifferent topologies and verified a synthetic gene circuit with mutual inhibition and auto-activations

164 Regulatory gene circuits with positive-feedback loops control stem

165 Gene circuits with predefined behaviours have been succe

166 vide one example of how the arrangement of a gene circuit within the genome can affect its behaviour.

167 le effect on the noise behavior of following gene circuits within a cascade.