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The Arabidopsis homeotic protein AGAMOUS (AG), a MADS domain transcription factor, specifies reproductive organ identity during flower development. Using a binding assay and expression analysis, we identified a direct target of AG, GIANT KILLER (GIK), which fine-tunes the expression of multiple genes downstream of AG. The GIK protein contains an AT-hook DNA binding motif that is widely found in chromosomal proteins and that binds to nuclear matrix attachment regions of DNA elements. Overexpression and loss of function of GIK cause wide-ranging defects in patterning and differentiation of reproductive organs. GIK directly regulates the expression of several key transcriptional regulators, including ETTIN/AUXIN RESPONSE FACTOR 3 (ETT/ARF3) that patterns the gynoecium, by binding to the matrix attachment regions of target promoters. Overexpression of GIK causes a swift and dynamic change in repressive histone modification in the ETT promoter. We propose that GIK acts as a molecular node downstream of the homeotic protein AG, regulating patterning and differentiation of reproductive organs through chromatin organization.
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http://dx.doi.org/10.1371/journal.pbio.1000251 | DOI Listing |
Alzheimers Res Ther
September 2025
Department of Neurology, Saarland University, Kirrberger Straße, 66421, Homburg/Saar, Germany.
Background: Alzheimer's disease (AD) patients and animal models exhibit an altered gut microbiome that is associated with pathological changes in the brain. Intestinal miRNA enters bacteria and regulates bacterial metabolism and proliferation. This study aimed to investigate whether the manipulation of miRNA could alter the gut microbiome and AD pathologies.
View Article and Find Full Text PDFNeurol Res Pract
September 2025
German Neurological Society, Berlin, Germany.
Background: Recreational nitrous oxide (NO) abuse has become increasingly prevalent, raising concerns about associated health risks. In Germany, the lack of reliable data on NO consumption patterns limits the development of effective public health interventions. This study aims to address this knowledge gap by examining trends, determinants, and health consequences of NO abuse in Germany.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Biology, Plant-Microbe Interactions, Science for Life, Utrecht University, Utrecht, 3584CH, The Netherlands.
Background: Plant roots release root exudates to attract microbes that form root communities, which in turn promote plant health and growth. Root community assembly arises from millions of interactions between microbes and the plant, leading to robust and stable microbial networks. To manage the complexity of natural root microbiomes for research purposes, scientists have developed reductionist approaches using synthetic microbial inocula (SynComs).
View Article and Find Full Text PDFCancer Metastasis Rev
September 2025
Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-Sur-Yvette, 91198, France.
Integrins constitute a large and diverse family of cell adhesion molecules that play essential roles in regulating tumor cell differentiation, migration, proliferation, and neovascularization. Tumor cell-derived exosomes, a subtype of extracellular vesicles, are enriched with integrins that reflect their cells of origin. These exosomal integrins can promote extracellular matrix remodeling, immune suppression, and vascular remodeling and are closely linked to tumor progression and metastasis, acting as pivotal players in mediating organ-specific metastasis.
View Article and Find Full Text PDFDiabet Med
September 2025
Division of Endocrinology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Aims: Our study described incidence and prevalence trends of type 1 diabetes in children and youth under 20 years of age from 1997 to 2023 in the Canadian province of British Columbia (BC) and assessed for a 4-, 5-, or 6-year cyclicity or increase in incidence during the COVID-19 pandemic.
Methods: Using linked population-level databases and a validated case-finding and diabetes differentiating algorithm, we identified children with type 1 diabetes diagnosed between 1997 and 2023. Data sources included hospital admissions, outpatient physician visits, and dispensed prescriptions.