ReviewCellular and molecular life sciences : CMLS2018
Differential gene regulatory networks in development and disease.
Review in Cellular and molecular life sciences : CMLS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 103 citations in OpenAlex.
- Mepolizumab alters gene regulatory networks of nasal airway type-2 and epithelial inflammation in urban children with asthma.Nature communications · 2025Trial
- Integrative mRNA and lncRNA Transcriptome Analysis of Skin Tissues with Different Coat Types in Cashmere Goats Across Stages of Hair Follicle Development.Animals : an open access journal from MDPI · 2026Article
- IAGRN: An Interleaved-Attention Graph Neural Network for Gene Regulatory Network Inference.International journal of molecular sciences · 2026Article
- Uncovering coordinated pathway interactions through gene co-differential expression in yeast.Nucleic acids research · 2026Article
- MicroRNA network regulation of developmental bone toxicity in a human embryonic stem cell osteogenic model.NAM journal · 2026Article
- Identification of Chondroitin Polymerizing Factor as a Biomarker for Colorectal Cancer by the Human Villi Development Model.Cancer innovation · 2025Article
- InCURA: integrative gene clustering based on transcription factor binding sites.Nucleic acids research · 2025Article
- Characterization of C2H2 superfamily expansions in cephalopods and their contribution to nervous system evolution.iScience · 2025Article
- Gene regulatory network structure informs the distribution of perturbation effects.PLoS computational biology · 2025Article
- Associative conditioning in gene regulatory network models increases integrative causal emergence.Communications biology · 2025Article
- Harnessing the analog computing power of regulatory networks with the Regulatory Network Machine.iScience · 2025Article
- A combination of transcriptomics and epigenomics identifies genes and regulatory elements involved in embryonic tail development in the mouse.BMC biology · 2025Article
- AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks.eLife · 2025Article
- Developmental regulatory genes in recalcitrant forest trees: advances in somatic regeneration and genetic transformation.Frontiers in plant science · 2025Review
- Network-based analysis of heterogeneous patient-matched brain and extracranial melanoma metastasis pairs reveals three homogeneous subgroups.Computational and structural biotechnology journal · 2024Article
- k- Strong Inference Algorithm: A Hybrid Information Theory Based Gene Network Inference Algorithm.Molecular biotechnology · 2024Article
- Network Analysis of Dysregulated Immune Response to COVID-19 mRNA Vaccination in Hemodialysis Patients.Vaccines · 2024Article
- Transcriptome data are insufficient to control false discoveries in regulatory network inference.Cell systems · 2024Article
- A new suite of reporter vectors and a novel landing site survey system to study cis-regulatory elements in diverse insect species.Scientific reports · 2024Article
- Enhanced tumor suppression in colorectal cancer via berberine-loaded PEG-PLGA nanoparticles.Frontiers in pharmacology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Gene regulatory networks, in which differential expression of regulator genes induce differential expression of their target genes, underlie diverse biological processes such as embryonic development, organ formation and disease pathogenesis. An archetypical systems biology approach to mapping these networks involves the combined application of (1) high-throughput sequencing-based transcriptome profiling (RNA-seq) of biopsies under diverse network perturbations and (2) network inference based on gene-gene expression correlation analysis. The comparative analysis of such correlation networks across cell types or states, differential correlation network analysis, can identify specific molecular signatures and functional modules that underlie the state transition or have context-specific function. Here, we review the basic concepts of network biology and correlation network inference, and the prevailing methods for differential analysis of correlation networks. We discuss applications of gene expression network analysis in the context of embryonic development, cancer, and congenital diseases.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.