On schemes of combinatorial transcription logic

By Nicolas E. Buchler, U. Gerland, Terence Hwa. Proceedings of the National Academy of Sciences of the United States of America, 2003

695 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/4a3bf0671723734f8a6bd615d06b4ecd2ca9ce27

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Citations in the corpus

Inverse statistical problems: from the inverse Ising problem to data science (2017, background): “To add further complications, the binding of multiple transcription factors in the regulatory region of a gene leads to combinatorial control exerted by several transcription factors on the expression of a gene [37].”
Biomolecular computing systems: principles, progress and potential (2012, neutral): “2e) and normal-form circuits 32,33 (FIG.”
A universal RNAi-based logic evaluator that operates in mammalian cells (2007, background): “have shown how to evaluate arbitrary logic expressions experimentally, although arbitrary evaluation in vivo using transcription factors has been considered theoreticall”
DNA as a universal substrate for chemical kinetics (2009, background): “Whereas these heuristic principles appear to be effective in practice so far, DNA sequence design strategies remain an active area of research (20, 21), and a more rigorous approach would be desirable to establish the true constraints sequence design places on strand displacement cascade scalability”
Stability of Genetic Networks With SUM Regulatory Logic: Lur'e System and LMI Approach (2006, background): “Typical regulatory logics include AND-like gates and OR-like gates [5], [13], [14] for .”
RNA regulation: a new genetics? (2004, background): “In particular, it is assumed that the increased complexity of eukaryotes is explained by the combinatorics of regulatory factors that intersect with more complex promoter”
Network motifs: theory and experimental approaches (2007, background): “To understand the function of the FFLs, we need to understand how X and Y are integrated to regulate the Z promote”
Fast-Find: A novel computational approach to analyzing combinatorial motifs (2006, background): “This combinatorial control is the rule rather than the exception in higher eukaryotes for critical processes including transcription [1] and splicing [2], and has also been observed in bacterial transcription [ 3 ].”
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.”
From sequence to dynamics: the effects of transcription factor and polymerase concentration changes on activated and repressed promoters (2009, positive): “[6] from an original approach by Shea and Ackers [17].”