"Gene Regulatory Networks" - Books

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Select item 14152801.

Madame Curie Bioscience Database [Internet].

Austin (TX): Landes Bioscience; 2000-2013.

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Select item 18602422.

WormBook: The Online Review of C. elegans Biology [Internet].

Pasadena (CA): WormBook; 2005-2018.

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Select item 55080383.

RNA, the Epicenter of Genetic Information: A new understanding of molecular biology.

Mattick J, Amaral P.

Abingdon (UK): CRC Press; 2022 Sep 20.

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Select item 19592284.

Catalyzing Inquiry at the Interface of Computing and Biology.

National Research Council (US) Committee on Frontiers at the Interface of Computing and Biology; Wooley JC, Lin HS, editors.

Washington (DC): National Academies Press (US); 2005.

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Select item 21951625.

StemBook [Internet].

Cambridge (MA): Harvard Stem Cell Institute; 2008-.

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Select item 57048766.

Jasper's Basic Mechanisms of the Epilepsies. 5th edition.

Noebels JL, Avoli M, Rogawski MA, et al., editors.

New York: Oxford University Press; 2024.

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Select item 34012947.

Endotext [Internet].

Feingold KR, Adler RA, Ahmed SF, et al., editors.

South Dartmouth (MA): MDText.com, Inc.; 2000-.

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Select item 54017688.

Streptococcus pyogenes: Basic Biology to Clinical Manifestations [Internet]. 2nd edition.

Ferretti JJ, Stevens DL, Fischetti VA, editors.

Oklahoma City (OK): University of Oklahoma Health Sciences Center; 2022 Oct 8.

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Select item 42037209.

Streptococcus pyogenes : Basic Biology to Clinical Manifestations [Internet].

Ferretti JJ, Stevens DL, Fischetti VA, editors.

Oklahoma City (OK): University of Oklahoma Health Sciences Center; 2016-.

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Select item 331221210.

In the Light of Evolution: Volume I: Adaptation and Complex Design.

National Academy of Sciences; Avise JC, Ayala FJ, editors.

Washington (DC): National Academies Press (US); 2007.

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Select item 287874811.

The Science and Applications of Synthetic and Systems Biology: Workshop Summary.

Institute of Medicine (US) Forum on Microbial Threats.

Washington (DC): National Academies Press (US); 2011.

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Select item 310505612.

In the Light of Evolution: Volume VI: Brain and Behavior.

National Academy of Sciences; Striedter GF, Avise JC, Ayala FJ, editors.

Washington (DC): National Academies Press (US); 2013 Jan 25.

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Select item 164593813.

Applications of Toxicogenomic Technologies to Predictive Toxicology and Risk Assessment.

National Research Council (US) Committee on Applications of Toxicogenomic Technologies to Predictive Toxicology.

Washington (DC): National Academies Press (US); 2007.

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Select item 454429014.

Etiology and Morphogenesis of Congenital Heart Disease: From Gene Function and Cellular Interaction to Morphology [Internet].

Nakanishi T, Markwald RR, Baldwin HS, et al., editors.

Tokyo: Springer; 2016.

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Select item 488975015.

Computational Biology [Internet].

Husi H, editor.

Brisbane (AU): Codon Publications; 2019 Nov 21.

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Select item 572909016.

Exploring and Exploiting Genetic Risk for Psychiatric Disorders [Internet].

Gordon JA, Binder EB, editors.

Cambridge (MA): MIT Press; 2023.

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Select item 238715617.

Jasper's Basic Mechanisms of the Epilepsies [Internet]. 4th edition.

Noebels JL, Avoli M, Rogawski MA, et al., editors.

Bethesda (MD): National Center for Biotechnology Information (US); 2012.

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Select item 440366818.

StatPearls [Internet].

Treasure Island (FL): StatPearls Publishing; 2026 Jan-.

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Select item 480062619.

Handbook of Life Course Health Development [Internet].

Halfon N, Forrest CB, Lerner RM, et al., editors.

Cham (CH): Springer; 2018.

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Select item 541465420.

Physics of Life.

National Academies of Sciences, Engineering, and Medicine; Division on Earth and Life Studies; Division on Engineering and Physical Sciences; Board on Life Sciences; Board on Physics and Astronomy; Committee on Biological Physics/Physics of Living Systems: A Decadal Survey.

Washington (DC): National Academies Press (US); 2022 Mar 23.

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Supplemental Content

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Figure 1

Comparison of gene expression network with random network. A small experimentally-derived gene expression network (left) shows more structure than the equivalent random network (right).

Gene Regulatory Networks.

Madame Curie Bioscience Database [Internet]. Austin (TX): Landes Bioscience; 2000-2013.
FIGURE 5.1

Gene regulatory networks (GRNs) controlling hindbrain and spinal cord development activated by the Wnt/β-catenin pathway. The Wnt/β-catenin pathway activates two GRNs controlling hindbrain (blue) and spinal cord (green) development. In the hindbrain GRN, Wnt3a directly activates Meis3 expression to induce the hindbrain domain. Meis3 acts via FGF3/8-induced MAPK signaling, and in co-operation with RA signaling, to induce PG1 Hox gene expression (and HoxD1 directly). PG1 Hox proteins subsequently activate expression of PG1–4 Hox genes that further specify the hindbrain region, controlling rhombomere identity. Gbx2 and HoxD1 are also direct targets of the Wnt/β-catenin pathway, and their expression also depends on Meis3. Therefore, the Wnt signal that activates their expression may either act in concert with Meis3 or may comprise another Wnt signal downstream of it. Gbx2 is required for Hox gene expression in r1–3. In the spinal cord GRN, Wnt/β-catenin directly, together with FGF3/8 and RA signaling (gray), activates Cdx1,2,4 gene expression to induce the spinal cord domain. Cdx proteins subsequently activate expression of PG6–9 Hox genes via downstream FGF signaling. PG6–9 Hox proteins further specify the spinal cord. Cdx1 also induces Wnt3a expression in the spinal cord, with which it acts to induce its own expression in a positive feedback loop. These two GRNs interact because both Cdx and PG6–9 proteins can repress expression of PG1–4 Hox genes. Anti-Wnt factors in the anterior (see Chapter 9, “Anti-Wnt Anterior Determinants”) antagonize the Wnt signal and prevent these GRNs from acting in this region, thus enabling anterior neural development.

Induction of the Hindbrain.

Elkouby YM, Frank D. Wnt/β-Catenin Signaling in Vertebrate Posterior Neural Development. San Rafael (CA): Morgan & Claypool Life Sciences; 2010.
Figure 7

Distribution of number of promoters vs number of different TF binding sites in Saccharomyces cerevisiae. This is a log-log plot of data taken directly from Lee et al.36 The red lines represents a least-squares fit to a power law. The resulting power-law exponent is 2.44 as indicated.

Gene Regulatory Networks.

Madame Curie Bioscience Database [Internet]. Austin (TX): Landes Bioscience; 2000-2013.
Figure 6

Plot of the distribution of number of nodes with degree k, plotted versus k for simulated networks. (See text for details.) Graphs correspond to three equally spaced time periods during network growth are shown. Leftmost graph is earliest time and rightmost is latest time. Top row are results from simulations with the duplication plus preferential rewiring model. Bottom row is from simulations with the partial duplication model.

Gene Regulatory Networks.

Madame Curie Bioscience Database [Internet]. Austin (TX): Landes Bioscience; 2000-2013.