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clock gene circuit models u2020  (Millar Inc)

 
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    Millar Inc clock gene circuit models u2020
    <t> Clock </t> protein dissociation constants for DNA-binding, from <t> models </t> or data.
    Clock Gene Circuit Models U2020, supplied by Millar Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/clock+gene+circuit+models+u2020/pmc11965494-393-9-20?v=Millar+Inc
    Average 90 stars, based on 1 article reviews
    clock gene circuit models u2020 - by Bioz Stars, 2026-07
    90/100 stars

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    1) Product Images from "Abundant clock proteins point to missing molecular regulation in the plant circadian clock"

    Article Title: Abundant clock proteins point to missing molecular regulation in the plant circadian clock

    Journal: Molecular Systems Biology

    doi: 10.1038/s44320-025-00086-5

    Clock protein dissociation constants for DNA-binding, from models or data.
    Figure Legend Snippet: Clock protein dissociation constants for DNA-binding, from models or data.

    Techniques Used:

    Natural genetic variation in promoter sequences is predicted to alter the molecular phenotype (dynatype). ( A ) GI transcript levels under 10L:14D cycles were simulated in U2020.5 (white region, light interval; shaded region, dark interval). The K d for CCA1 binding to the promoter of GI was calculated using the EMA matrix (Fig. ), for all GI promoter sequences from the 1001 Genomes Project (dashed lines). The model retained the default GI gene (solid line, second highest peak), while a second copy that simulated only GI RNA production was tested with the K d for each promoter sequence and plotted (dashed lines). The range of dynamics shown reflects only altered GI transcription rates, without the effects of altered GI protein dynamics. ( B ) Connecting models (adapted from Millar, Fig. ). The central circuit represents the conceptual steps as a genome, in cells, builds organismal traits (upper arrow) in a given environment (green shading). Those traits and potentially management inputs (yellow), in populations, lead to selection on genome sequences (lower arrow). The black, green and cyan arcs represent, respectively, the clock gene circuit models such as U2020 (schema from Urquiza-García and Millar, Supp Fig. ), the Framework Model version 2 for clock-controlled seedling and rosette growth in simple environments (FMv2; Chew et al, ), and the FM-life model for whole-lifecycle simulation under natural environments (Zardilis et al, ). This paper illustrates how a clock gene circuit model can incorporate genome sequence data (dashed black arc), via promoter sequences that alter CCA1 binding, as in ( A ). Others might connect such models in future and add simulated genetic variation (pink), in order to explain and predict both the operation and the evolution of the plant clock genes.
    Figure Legend Snippet: Natural genetic variation in promoter sequences is predicted to alter the molecular phenotype (dynatype). ( A ) GI transcript levels under 10L:14D cycles were simulated in U2020.5 (white region, light interval; shaded region, dark interval). The K d for CCA1 binding to the promoter of GI was calculated using the EMA matrix (Fig. ), for all GI promoter sequences from the 1001 Genomes Project (dashed lines). The model retained the default GI gene (solid line, second highest peak), while a second copy that simulated only GI RNA production was tested with the K d for each promoter sequence and plotted (dashed lines). The range of dynamics shown reflects only altered GI transcription rates, without the effects of altered GI protein dynamics. ( B ) Connecting models (adapted from Millar, Fig. ). The central circuit represents the conceptual steps as a genome, in cells, builds organismal traits (upper arrow) in a given environment (green shading). Those traits and potentially management inputs (yellow), in populations, lead to selection on genome sequences (lower arrow). The black, green and cyan arcs represent, respectively, the clock gene circuit models such as U2020 (schema from Urquiza-García and Millar, Supp Fig. ), the Framework Model version 2 for clock-controlled seedling and rosette growth in simple environments (FMv2; Chew et al, ), and the FM-life model for whole-lifecycle simulation under natural environments (Zardilis et al, ). This paper illustrates how a clock gene circuit model can incorporate genome sequence data (dashed black arc), via promoter sequences that alter CCA1 binding, as in ( A ). Others might connect such models in future and add simulated genetic variation (pink), in order to explain and predict both the operation and the evolution of the plant clock genes.

    Techniques Used: Binding Assay, Sequencing, Selection



    Similar Products

    clock gene circuit models u2020  (Millar Inc)
    90
    Millar Inc clock gene circuit models u2020
    <t> Clock </t> protein dissociation constants for DNA-binding, from <t> models </t> or data.
    Clock Gene Circuit Models U2020, supplied by Millar Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/clock+gene+circuit+models+u2020/pmc11965494-393-9-20?v=Millar+Inc
    Average 90 stars, based on 1 article reviews
    clock gene circuit models u2020 - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier

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    Clock protein dissociation constants for DNA-binding, from models or data.

    Journal: Molecular Systems Biology

    Article Title: Abundant clock proteins point to missing molecular regulation in the plant circadian clock

    doi: 10.1038/s44320-025-00086-5

    Figure Lengend Snippet: Clock protein dissociation constants for DNA-binding, from models or data.

    Article Snippet: The black, green and cyan arcs represent, respectively, the clock gene circuit models such as U2020 (schema from Urquiza-García and Millar, Supp Fig. ), the Framework Model version 2 for clock-controlled seedling and rosette growth in simple environments (FMv2; Chew et al, ), and the FM-life model for whole-lifecycle simulation under natural environments (Zardilis et al, ).

    Techniques:

    Natural genetic variation in promoter sequences is predicted to alter the molecular phenotype (dynatype). ( A ) GI transcript levels under 10L:14D cycles were simulated in U2020.5 (white region, light interval; shaded region, dark interval). The K d for CCA1 binding to the promoter of GI was calculated using the EMA matrix (Fig. ), for all GI promoter sequences from the 1001 Genomes Project (dashed lines). The model retained the default GI gene (solid line, second highest peak), while a second copy that simulated only GI RNA production was tested with the K d for each promoter sequence and plotted (dashed lines). The range of dynamics shown reflects only altered GI transcription rates, without the effects of altered GI protein dynamics. ( B ) Connecting models (adapted from Millar, Fig. ). The central circuit represents the conceptual steps as a genome, in cells, builds organismal traits (upper arrow) in a given environment (green shading). Those traits and potentially management inputs (yellow), in populations, lead to selection on genome sequences (lower arrow). The black, green and cyan arcs represent, respectively, the clock gene circuit models such as U2020 (schema from Urquiza-García and Millar, Supp Fig. ), the Framework Model version 2 for clock-controlled seedling and rosette growth in simple environments (FMv2; Chew et al, ), and the FM-life model for whole-lifecycle simulation under natural environments (Zardilis et al, ). This paper illustrates how a clock gene circuit model can incorporate genome sequence data (dashed black arc), via promoter sequences that alter CCA1 binding, as in ( A ). Others might connect such models in future and add simulated genetic variation (pink), in order to explain and predict both the operation and the evolution of the plant clock genes.

    Journal: Molecular Systems Biology

    Article Title: Abundant clock proteins point to missing molecular regulation in the plant circadian clock

    doi: 10.1038/s44320-025-00086-5

    Figure Lengend Snippet: Natural genetic variation in promoter sequences is predicted to alter the molecular phenotype (dynatype). ( A ) GI transcript levels under 10L:14D cycles were simulated in U2020.5 (white region, light interval; shaded region, dark interval). The K d for CCA1 binding to the promoter of GI was calculated using the EMA matrix (Fig. ), for all GI promoter sequences from the 1001 Genomes Project (dashed lines). The model retained the default GI gene (solid line, second highest peak), while a second copy that simulated only GI RNA production was tested with the K d for each promoter sequence and plotted (dashed lines). The range of dynamics shown reflects only altered GI transcription rates, without the effects of altered GI protein dynamics. ( B ) Connecting models (adapted from Millar, Fig. ). The central circuit represents the conceptual steps as a genome, in cells, builds organismal traits (upper arrow) in a given environment (green shading). Those traits and potentially management inputs (yellow), in populations, lead to selection on genome sequences (lower arrow). The black, green and cyan arcs represent, respectively, the clock gene circuit models such as U2020 (schema from Urquiza-García and Millar, Supp Fig. ), the Framework Model version 2 for clock-controlled seedling and rosette growth in simple environments (FMv2; Chew et al, ), and the FM-life model for whole-lifecycle simulation under natural environments (Zardilis et al, ). This paper illustrates how a clock gene circuit model can incorporate genome sequence data (dashed black arc), via promoter sequences that alter CCA1 binding, as in ( A ). Others might connect such models in future and add simulated genetic variation (pink), in order to explain and predict both the operation and the evolution of the plant clock genes.

    Article Snippet: The black, green and cyan arcs represent, respectively, the clock gene circuit models such as U2020 (schema from Urquiza-García and Millar, Supp Fig. ), the Framework Model version 2 for clock-controlled seedling and rosette growth in simple environments (FMv2; Chew et al, ), and the FM-life model for whole-lifecycle simulation under natural environments (Zardilis et al, ).

    Techniques: Binding Assay, Sequencing, Selection