Nucleic Acids Research最新文献

Transcription factors (TFs) are often classified as activators or repressors, yet these context-dependent labels are inadequate to predict quantitative profiles that emerge across different promoters. A mechanistic understanding of how different regulatory sequences shape TF function is challenging due to the lack of systematic genetic control in endogenous genes. To address this, we use a library of Escherichia coli strains with precise control of TF copy number, measuring the quantitative regulatory input-output function of 90 TFs on synthetic promoters that isolate the contributions of TF binding sequence, location, and basal promoter strength to gene expression. We interpret the measured regulation of these TFs using a thermodynamic model of gene expression and uncover stabilization of RNA polymerase as a pervasive regulatory mechanism, common to both activating and repressing TFs. This property suggests ways to tune the dynamic range of gene expression through the interplay of stabilizing TF function and RNA polymerase basal occupancy, a phenomenon we confirm by measuring fold change for stabilizing TFs across synthetic promoter sequences spanning over 100-fold basal expression. Our work deconstructs TF function at a mechanistic level, providing foundational principles on how gene expression is realized across different promoter contexts, with implications for decoding the relationship between sequence and gene expression.

Transcriptional regulation involves interactions between transcription factors, coregulators, and DNA. Intrinsic disorder is a major player in this regulation, but mechanisms driven by disorder remain elusive. Here, we address molecular communication within the stress-regulating Arabidopsis thaliana transcription factor ANAC013. Through high-throughput screening of ANAC013 for transcriptional activation activity, we identify three activation domains within its C-terminal intrinsically disordered region. Two of these overlap with acidic islands and form dynamic interactions with the DNA-binding domain and are released, not only upon binding of target promoter DNA, but also by nonspecific DNA. We show that independently of DNA binding, the RST (RCD--SRO--TAF4) domain of the negative regulator RCD1 (Radical-induced Cell Death1) scavenges the two acidic activation domains positioned vis-à-vis through allovalent binding, leading to dynamic occupation at enhanced affinity. We propose an allovalency model for transcriptional regulation, where sequentially close activation domains in both DNA-bound and DNA-free states allow for efficient regulation. The model is likely relevant for many transcription factor systems, explaining the functional advantage of carrying sequentially close activation domains.

RNA secondary (2D) structure visualization is an essential tool for understanding RNA function. R2DT is a software package designed to visualize RNA 2D structures in consistent, recognizable, and reproducible layouts. The latest release, R2DT 2.0, introduces multiple significant features, including the ability to display position-specific information, such as single nucleotide polymorphisms or SHAPE reactivities. It also offers a new template-free mode allowing visualization of RNAs without pre-existing templates, alongside a constrained folding mode and support for animated visualizations. Users can interactively modify R2DT diagrams, either manually or using natural language prompts, to generate new templates or create publication-quality images. Additionally, R2DT features faster performance, an expanded template library, and a growing collection of compatible tools and utilities. Already integrated into multiple biological databases, R2DT has evolved into a comprehensive platform for RNA 2D visualization, accessible at https://r2dt.bio.

The nosocomial pathogen Acinetobacter baumannii is a major threat to human health. The sensor kinase-response regulator system, BfmS-BfmR, is essential to multidrug resistance and virulence in the bacterium and represents a potential antimicrobial target. Important questions remain about how the system controls resistance and pathogenesis. Although BfmR knockout alters expression of >1000 genes, its direct regulon is undefined. Moreover, how phosphorylation controls the regulator is unclear. Here, we address these problems by combining mutagenesis, ChIP-seq, and in vitro phosphorylation to study the functions of phospho-BfmR. We show that phosphorylation is required for BfmR-mediated gene regulation, antibiotic resistance, and sepsis development in vivo. Consistent with activating the protein, phosphorylation induces dimerization and target DNA affinity. Integrated analysis of genome-wide binding and transcriptional profiles of BfmR led to additional key findings: (1) Phosphorylation dramatically expands the number of genomic sites BfmR binds; (2) DNA recognition involves a direct repeat motif widespread across promoters; (3) BfmR directly regulates 303 genes as activator (e.g., capsule, peptidoglycan, and outer membrane biogenesis) or repressor (pilus biogenesis); (4) BfmR controls several non-coding sRNAs. These studies reveal the centrality of a phosphorylation signal in driving A. baumannii disease and disentangle the extensive pathogenic gene-regulatory network under its control.

Well-differentiated/dedifferentiated liposarcomas (WD/DDLPSs) account for ∼60% of all liposarcomas. They have a poor prognosis due to limited therapeutic options. WD/DDLPSs are characterized by aberrant expression of mouse double minute 2 (MDM2), which forms G-quadruplexes (G4s) in its promoter. Here, we investigated the possibility of targeting WD/DDLPSs with small molecules against the MDM2 G4s. Among the molecules tested, the naphthalene diimide derivative QN-302 significantly impaired WD/DDLPS cell growth and its activity strikingly paralleled cell-specific G4 abundance as measured by CUT&Tag and RNA sequencing analysis. QN-302 stabilized MDM2 G4s at the P2 inducible promoter and prevented polymerase progression from the constitutive P1 promoter, thereby inhibiting the formation of full-length MDM2 transcripts. This resulted in the accumulation of p53 through the p53-MDM2 autoregulatory feedback loop, ultimately leading to apoptotic cell death. In patient-derived xenograft mouse models, QN-302 treatment reduced tumour volume distribution and was well tolerated. We have identified a novel and effective therapeutic strategy to reduce MDM2 expression and promote p53 reactivation in tumours harbouring wild-type TP53, such as WD/DDLPSs.

Human cells generate a vast complexity of noncoding RNAs, the "RNA dark matter," which includes a vast small RNA (sRNA) transcriptome. The biogenesis, biological relevance, and mechanisms of action of most of these transcripts remain unknown, and they are widely assumed to represent degradation products. Here, we aimed to functionally characterize human sRNA transcriptome by attempting to answer the following question-can a significant number of novel sRNAs correspond to novel members of known classes, specifically, microRNAs (miRNAs)? By developing and validating a miRNA discovery pipeline, we show that at least 2726 novel canonical miRNAs, majority of which represent novel miRNA families, exist in just one human cell line compared to just 1914 known miRNA loci. Moreover, potentially tens of thousands of miRNAs remain to be discovered. Strikingly, many novel miRNAs map to exons of protein-coding genes emphasizing a complex and interleaved architecture of the genome. The existence of so many novel members of a functional class of sRNAs suggest that the human sRNA transcriptome harbors a multitude of novel regulatory molecules. Overall, these results suggest that we are at the very beginning of understanding the true functional complexity of the sRNA component of the "RNA dark matter."