ArticlePLoS computational biology2012
Modeling of gap gene expression in Drosophila Kruppel mutants.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Stable developmental patterns of gene expression without morphogen gradients.PLoS computational biology · 2024Article
- Multifaceted effects on even-skipped transcriptional dynamics upon Krüppel dosage changes.Development (Cambridge, England) · 2024Article
- Functional analysis of the Drosophila eve locus in response to non-canonical combinations of gap gene expression levels.Developmental cell · 2023Article
- ISRES+: an improved evolutionary strategy for function minimization to estimate the free parameters of systems biology models.Bioinformatics (Oxford, England) · 2023Article
- Impact of Negative Feedbacks on De Novo Pyrimidines Biosynthesis inInternational journal of molecular sciences · 2023Article
- Kruppel-like Factors in Skeletal Physiology and Pathologies.International journal of molecular sciences · 2022Review
- Data-driven modeling predicts gene regulatory network dynamics during the differentiation of multipotential hematopoietic progenitors.PLoS computational biology · 2022Article
- Application of Domain- and Genotype-Specific Models to Infer Post-Transcriptional Regulation of Segmentation Gene Expression inLife (Basel, Switzerland) · 2021Article
- Dynamic Modeling of Transcriptional Gene Regulatory Networks.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Classification-Based Inference of Dynamical Models of Gene Regulatory Networks.G3 (Bethesda, Md.) · 2019Article
- Quantitative analysis reveals genotype- and domain- specific differences between mRNA and protein expression of segmentation genes in Drosophila.Developmental biology · 2019Article
- Transcriptional precision and accuracy in development: from measurements to models and mechanisms.Development (Cambridge, England) · 2017Review
- Temporal and spatial dynamics of scaling-specific features of a gene regulatory network in Drosophila.Nature communications · 2015Article
- A gene expression atlas of a bicoid-depleted Drosophila embryo reveals early canalization of cell fate.Development (Cambridge, England) · 2015Article
- Differential Evolution approach to detect recent admixture.BMC genomics · 2015Article
- Mid-embryo patterning and precision in Drosophila segmentation: Krüppel dual regulation of hunchback.PloS one · 2015Article
- Making models match measurements: model optimization for morphogen patterning networks.Seminars in cell & developmental biology · 2014Review
- The embryo as a laboratory: quantifying transcription in Drosophila.Trends in genetics : TIG · 2014Review
- Sequence-based model of gap gene regulatory network.BMC genomics · 2014Article
- A new stochastic model for subgenomic hepatitis C virus replication considers drug resistant mutants.PloS one · 2014Article
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5 authors.
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Abstract
The segmentation gene network in Drosophila embryo solves the fundamental problem of embryonic patterning: how to establish a periodic pattern of gene expression, which determines both the positions and the identities of body segments. The gap gene network constitutes the first zygotic regulatory tier in this process. Here we have applied the systems-level approach to investigate the regulatory effect of gap gene Kruppel (Kr) on segmentation gene expression. We acquired a large dataset on the expression of gap genes in Kr null mutants and demonstrated that the expression levels of these genes are significantly reduced in the second half of cycle 14A. To explain this novel biological result we applied the gene circuit method which extracts regulatory information from spatial gene expression data. Previous attempts to use this formalism to correctly and quantitatively reproduce gap gene expression in mutants for a trunk gap gene failed, therefore here we constructed a revised model and showed that it correctly reproduces the expression patterns of gap genes in Kr null mutants. We found that the remarkable alteration of gap gene expression patterns in Kr mutants can be explained by the dynamic decrease of activating effect of Cad on a target gene and exclusion of Kr gene from the complex network of gap gene interactions, that makes it possible for other interactions, in particular, between hb and gt, to come into effect. The successful modeling of the quantitative aspects of gap gene expression in mutant for the trunk gap gene Kr is a significant achievement of this work. This result also clearly indicates that the oversimplified representation of transcriptional regulation in the previous models is one of the reasons for unsuccessful attempts of mutant simulations.
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