Transcription regulation and animal diversity
By M. Levine, R. Tjian. Nature, 2003
1,370 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/ffb607ba0599609a3c84a5fb4378652ba95a2cf2
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In Genetics
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Citations in the corpus
- Transposable elements and the evolution of regulatory networks (2008, background): “Transposases recycled into regulators The evolution of complex multicellular organisms in several branches of the tree of life was accompanied, and perhaps facilitated, by an expansion and diversification of transcription factors (TFs”
- Evolution of microRNA genes by inverted duplication of target gene sequences in Arabidopsis thaliana (2004, background): “New gene regulatory networks can result from duplication of protein-coding sequences and regulatory element”
- Computational prediction of transcription-factor binding site locations (2003, background): “A given gene can have multiple such modules in its surrounding noncoding sequence; they typically direct expression in either a cell-type-specific or temporal-specific manner [69].”
- Is prokaryotic complexity limited by accelerated growth inregulatory overhead? (2003, background): “A growing body of literature supports the notion that increases in complexity arise indeed from progressively more elaborate regulation of gene expression [1].”
- Sequence features and chromatin structure around the genomic regions bound by 119 human transcription factors (2012, background): “Elaborate regulation of gene expression is a key driving force for organismal complexity (Levine and Tjian 2003).”
- From 2R to 3R: evidence for a fish-specific genome duplication (FSGD). (2005, background): “increasing complexity in the regulatory networks that control the expression of genes) also played a decisive role during evolution is undisputed.((6)) However, the relative importance of both gene duplication and divergent transcriptional regulation in explaining the evolution of biological complex”
- Structure‐based prediction of transcription factor binding sites using a protein‐DNA docking approach (2008, background): “8 These computational techniques are generally designed to solve two related issues: (1) For a given set of sequences that harbor the binding sites of a particular TF, find the location of the sites; and (2) For a given set of known binding sites, develop a representation of their binding signature,”
- Conservation of transcription factor binding specificities across 600 million years of bilateria evolution (2015, background): “Our results suggest that morphological divergence is not driven by subtle drift in specificity of TFs, but primarily caused by cis-regulatory changes (Carroll, 2000; Levine and Tjian, 2003), with some contribution from relatively large shifts in binding specificities of specific TFs.”
- The rise of regulatory RNA (2014, background): “This in turn has led to the prevailing ‘transcription factor’ paradigm of gene regulation, including the derived assumption that combinatoric interactions would provide factorially ‘explosive’ regulatory combinations 12 , more than enough to supervise human ontogeny.”
- The evolution of gene regulation by transcription factors and microRNAs (2007, background): “The emergence of complex, multicellular organisms was accompanied, and perhaps facilitated, by dramatic increases in the complexity of gene regulatory mechanisms [ 1 ,2].”