Negative autoregulation speeds the response times of transcription networks.
By N. Rosenfeld, Michael B. Elowitz, Uri Alon. Journal of Molecular Biology, 2002
746 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/15cd4fb5f661ce91bf19e83196a32956d6e3e5ff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Uri Alon
- Oliver Mason
- Mark H. A. Verwoerd
- Alon Zaslaver
- Zoltn Oltvai
- Albert-László Barabási
- Wai‐Leung Ng
- Hans V. Westerhoff
In Molecular Biology
- Richard A. Young
- Oliver Mason
- Mark H. A. Verwoerd
- Albert-László Barabási
- Uri Alon
- Zoltn Oltvai
- Hans V. Westerhoff
- Tong Ihn Lee
Citations in the corpus
- Introduction to systems biology. (2007, methodology): “This approach is nicely illustrated by a series of papers by the group of Ferrell and co-workers [94–97] and Alon and co-workers [98–102].”
- Core transcriptional regulatory circuitry in human embryonic stem cells. (2005, background): “Autoregulation is thought to provide several advantages, including reduced response time to environmental stimuli and increased stability of gene expression (McAdams and Arkin, 1997; Rosenfeld et al., 2002; Shen-Orr et al., 2002; Thieffry et al., 1998).”
- Aggregation of topological motifs in the Escherichia coli transcriptional regulatory network (2004, background): “Identifying the connections [5,16,17], and decoding the organizational principles and systemlevel features [3,4,14,18-20] of such networks is a key challenge of post-genomic biology.”
- Identifying global regulators in transcriptional regulatory networks in bacteria. (2003, background): “The armament for our understanding of regulatory networks, co-regulated groups, clusters and their overlapping genes, has recently increased beyond the operons, regulons and stimulons, to structurally and computationally defined motifs and modules of the network [50 ,60 ,61 ], with dynamical propert”
- MicroRNA-mediated feedback and feedforward loops are recurrent network motifs in mammals. (2007, background): “For instance, $35% of E. coli transcription factors repress their own transcription, and such negative autoregulatory circuits can significantly accelerate transcriptional response time (Rosenfeld et al., 2002) and dampen protein expression fluctuations (Becskei and Serrano, 2000).”
- Graph theory and networks in Biology. (2006, positive): “The negative autoregulatory circuit consisting of a transcription factor that down-regulates its own transcription was studied in [156], where the response times of a simple transcriptional unit (without autoregulation) and a negative autoregulatory circuit were compared.”
- Bacterial Quorum-Sensing Network Architectures (2009, positive): “We note that feedback loops similar to those described in these two quorum-sensing systems are common network motifs in biological circuits (99).”