Regulation of gene expression by DNA-binding transcription factors is essential for proper control of growth and development in all organisms. In this study, we annotate and characterize growth and developmental phenotypes for transcription factor genes in the model filamentous fungus We identified 312 transcription factor genes, corresponding to 3.2% of the protein coding genes in the genome. The largest class was the fungal-specific ZnCys (C6) binuclear cluster, with 135 members, followed by the highly conserved C2H2 zinc finger group, with 61 genes. Viable knockout mutants were produced for 273 genes, and complete growth and developmental phenotypic data are available for 242 strains, with 64% possessing at least one defect. The most prominent defect observed was in growth of basal hyphae (43% of mutants analyzed), followed by asexual sporulation (38%), and the various stages of sexual development (19%). Two growth or developmental defects were observed for 21% of the mutants, while 8% were defective in all three major phenotypes tested. Analysis of available mRNA expression data for a time course of sexual development revealed mutants with sexual phenotypes that correlate with transcription factor transcript abundance in wild type. Inspection of this data also implicated cryptic roles in sexual development for several cotranscribed transcription factor genes that do not produce a phenotype when mutated.
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http://dx.doi.org/10.1534/g3.117.043331 | DOI Listing |
Sci Rep
December 2024
Central Laboratory, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, 215000, Jiangsu, China.
Yu-Ping-Feng-San (YPF) is a famous classical Chinese medicine formula known for its ability to boost immunity. YPF has been applied to enhance the immune status of tumor patients in clinical practice. However, there is still a lack of research on its immune regulatory effects and mechanisms in the tumor microenvironment.
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December 2024
Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute for Basic Medical Sciences, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
High-fat diet (HFD) induces low-grade chronic inflammation, contributing to obesity and insulin resistance. However, the precise mechanisms triggering obesity-associated metabolic inflammation remain elusive. In this study, we identified epigenetic factor Brd4 as a key player in this process by regulating the expression of Ccr2/Ccr5 in colonic macrophage.
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December 2024
National & Local United Engineering Laboratory for Chinese Herbal Medicine Breeding and Cultivation, School of Life Sciences, Jilin University, Changchun, Jilin Province, People's Republic of China.
Cold stress, a major abiotic factor, positively modulates the synthesis of artemisinin in Artemisia annua and influences the biosynthesis of other secondary metabolites. To elucidate the changes in the synthesis of secondary metabolites under low-temperature conditions, we conducted dynamic transcriptomic and metabolite quantification analyses of A. annua leaves.
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December 2024
Department of Respiratory Medicine, Hunan Provincial People's Hospital (The First-Affiliated Hospital of Hunan Normal University), No. 61 Jiefang Xi Road, Changsha, Hunan, 410219, China.
Pulmonary arterial hypertension (PAH) is a serious medical condition that causes a failure in the right heart. Two-pore channel 2 (TPC2) is upregulated in PAH, but its roles in PAH remain largely unknown. Our investigation aims at the mechanisms by which TPC2 regulates PAH development.
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December 2024
Precision Medicine Center, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China.
Polyomavirus enhancer activator 3 (PEA3), an ETS transcription factor, has been documented to regulate the development and metastasis of human cancers. Nonetheless, a thorough analysis examining the relationship between the PEA3 subfamily members and tumour development, prognosis, and the tumour microenvironment (TME) across various cancer types has not yet been conducted. The expression profiles and prognostic significance of the PEA3 subfamily were evaluated using data from the GEO, TCGA, and PrognoScan databases, in conjunction with COX regression analyses and the Kaplan-Meier Plotter.
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