For a particular functional family of basic helix-loop-helix (bHLH) transcription factors, there is ample evidence that different factors regulate different target genes but little idea of how these different target genes are distinguished. We investigated the contribution of DNA binding site differences to the specificities of two functionally related proneural bHLH transcription factors required for the genesis of Drosophila sense organ precursors (Atonal and Scute). We show that the proneural target gene, Bearded, is regulated by both Scute and Atonal via distinct E-box consensus binding sites. By comparing with other Ato-dependent enhancer sequences, we define an Ato-specific binding consensus that differs from the previously defined Scute-specific E-box consensus, thereby defining distinct E(Ato) and E(Sc) sites. These E-box variants are crucial for function. First, tandem repeats of 20-bp sequences containing E(Ato) and E(Sc) sites are sufficient to confer Atonal- and Scute-specific expression patterns, respectively, on a reporter gene in vivo. Second, interchanging E(Ato) and E(Sc) sites within enhancers almost abolishes enhancer activity. While the latter finding shows that enhancer context is also important in defining how proneural proteins interact with these sites, it is clear that differential utilization of DNA binding sites underlies proneural protein specificity.
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http://dx.doi.org/10.1128/MCB.24.21.9517-9526.2004 | DOI Listing |
IUBMB Life
January 2025
Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.
View Article and Find Full Text PDFPest Manag Sci
January 2025
Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Background: Exogenous double-stranded RNA (dsRNA) has the potential to serve as an effective alternative to conventional chemical pesticides for the control of insect pests, because it can specifically inhibit essential gene expression in these organisms. However, identifying suitable gene targets remains a crucial step in the development of RNA interference (RNAi)-based pest control strategies.
Results: In this study, three apoptosis-related genes were selected to evaluate their potential for RNAi-induced lethality in Henosepilachna vigintioctopunctata via foliar spray dsRNAs.
Lipids
January 2025
Department of Laboratory Medicine, Peoples Hospital of Deyang City, Deyang, China.
Lipid-lowering drugs have been used in clinics widely. It is unclear whether the drugs have an effect on renal failure. We chose high-density lipoprotein cholesterol (ieu-b-109), low-density lipoprotein cholesterol (ieu-a-300), triglyceride (ieu-b-111), and total cholesterol (ebi-a-GCST90038690) as exposures.
View Article and Find Full Text PDFParasit Vectors
January 2025
Department of Biology, University of Padova, Padova, Italy.
Background: The mite Varroa destructor is the most serious pest of the western honey bee (Apis mellifera) and a major factor in the global decline of colonies. Traditional control methods, such as chemical pesticides, although quick and temporarily effective, leave residues in hive products, harming bees and operators' health, while promoting pathogen resistance and spread. As a sustainable alternative, RNA interference (RNAi) technology has shown great potential for honey bee pest control in laboratory assays, but evidence of effectiveness in the field has been lacking.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Beijing, 100730, China.
Background: Immunotherapy is a significant risk factor for severe COVID-19 in multiple myeloma (MM) patients. Understanding how immunotherapies lead to severe COVID-19 is crucial for improving patient outcomes.
Methods: Human protein microarrays were used to examine the expression of 440 protein molecules in MM patients treated with bispecific T-cell engagers (BiTe) (n = 9), anti-CD38 monoclonal antibodies (mAbs) (n = 10), and proteasome inhibitor (PI)-based regimens (n = 10).
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