Despite a long-standing interest in the genetic basis of morphological diversity, the molecular mechanisms that give rise to developmental variation are incompletely understood. Here, we use comparative transcriptomics coupled with the construction of gene coexpression networks to predict a gene regulatory network (GRN) for leaf development in tomato and two related wild species with strikingly different leaf morphologies. The core network in the leaf developmental GRN contains regulators of leaf morphology that function in global cell proliferation with peripheral gene network modules (GNMs). The BLADE-ON-PETIOLE (BOP) transcription factor in one GNM controls the core network by altering effective concentration of the KNOTTED-like HOMEOBOX gene product. Comparative network analysis and experimental perturbations of BOP levels suggest that variation in BOP expression could explain the diversity in leaf complexity among these species through dynamic rewiring of interactions in the GRN. The peripheral location of the BOP-containing GNM in the leaf developmental GRN and the phenotypic mimics of evolutionary diversity caused by alteration in BOP levels identify a key role for this GNM in canalizing the leaf morphospace by modifying the maturation schedule of leaves to create morphological diversity.
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http://dx.doi.org/10.1073/pnas.1402835111 | DOI Listing |
Brief Bioinform
November 2024
Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China.
Studying the changes in cellular transcriptional profiles induced by small molecules can significantly advance our understanding of cellular state alterations and response mechanisms under chemical perturbations, which plays a crucial role in drug discovery and screening processes. Considering that experimental measurements need substantial time and cost, we developed a deep learning-based method called Molecule-induced Transcriptional Change Predictor (MiTCP) to predict changes in transcriptional profiles (CTPs) of 978 landmark genes induced by molecules. MiTCP utilizes graph neural network-based approaches to simultaneously model molecular structure representation and gene co-expression relationships, and integrates them for CTP prediction.
View Article and Find Full Text PDFNeuro Oncol
January 2025
Department of Neurosurgery, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg.
Background: Peripheral nerve sheath tumors (PNSTs) encompass entities with different cellular differentiation and degrees of malignancy. Spatial heterogeneity complicates diagnosis and grading of PNSTs in some cases. In malignant PNST (MPNST) for example, single cell sequencing data has shown dissimilar differentiation states of tumor cells.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Faculty of Life Sciences and Medicine, Harbin Institute of Technology Center for Life Sciences, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Lysophosphatidic acid (LPA) exerts its physiological roles through the endothelialdifferentiation gene (EDG) family LPA receptors (LPAR1-3) or the non-EDG family LPA receptors (LPAR4-6). LPAR6 plays crucial roles in hair loss and cancer progression, yet its structural information is very limited. Here, we report the cryoelectron microscopy structure of LPA-bound human LPAR6 in complex with a mini G or G protein.
View Article and Find Full Text PDFJ Mol Model
January 2025
Department of Biochemistry, Faculty of Basic Medical Science, Olabisi Onabanjo University, Sagamu Campus, Ago Iwoye, Ogun State, Nigeria.
Context: The medications for metabolic syndromes are very minimal and the available are not effective and show adverse effects. There is a huge need for the development of effective and safe drugs to battle metabolic syndromes. In this context, our study aimed to decipher the key molecules from Artocarpus communis seed hexane fraction and their possible mechanism of action against metabolic syndrome.
View Article and Find Full Text PDFJ Antimicrob Chemother
January 2025
Institut Pasteur de Dakar, Immunophysiopathology and Infectious Diseases Department, G4-Malaria Experimental Genetic Approaches and Vaccines Unit, Dakar, Senegal.
Background: Since 2006, artemisinin-based combination therapies (ACTs) have been introduced in Senegal in response to chloroquine resistance (CQ-R) and have shown high efficacy against Plasmodium falciparum. However, the detection of the PfKelch13R515K mutation in Kaolack, which confers artemisinin resistance in vitro, highlights the urgency of strengthening antimalarial drug surveillance to achieve malaria elimination by 2030.
Objective: To assess the proportion of P.
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