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The N-terminal receiver domain of protein NtrC (NtrC(r)) exhibits allosteric transitions between the inactive (unphosphorylated) and active (phosphorylated) state on the microsecond time scale. Using a coarse-grained variational model with coupled energy basins, we illustrate that significant loss of conformational flexibility is the key determinant of the inactive (I) → active (A) state transition mechanism of NtrC(r). In particular, our results reveal that the rearrangements of the native contacts involving the regulatory helix-α4 and the flexible β3-α3 loop upon activation play a crucial role in the activation mechanism. Interestingly, we find that the β3-α3 loop exhibits a gradual decrease in flexibility throughout the activation transition, while helix-α4, in contrast, becomes more rigid abruptly near the free energy barrier separating the two states. To gain further insight into role these flexible regions play in the transition mechanism, we consider folding of NtrC(r) to both states using a similar model. Our calculated folding routes suggest that helix-α4 becomes structured later when folding to the I state compared to folding of the A state, a result consistent with it is relative conformational flexibility in the two states. Finally, we find a good qualitative agreement between our predicted I → A transition mechanism and the measured backbone dynamics from nuclear magnetic resonance experiments.
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http://dx.doi.org/10.1021/jp403181p | DOI Listing |
J Cancer Res Clin Oncol
September 2025
Inner Mongolia Medical University Affiliated Hospital, Hohhot, 010030, Inner Mongolia, China.
Purpose: Lung cancer is currently the most common malignant tumor worldwide and one of the leading causes of cancer-related deaths, posing a serious threat to human health. MicroRNAs (miRNAs) are a class of endogenous non-coding small RNA molecules that regulate gene expression and are involved in various biological processes associated with lung cancer. Understanding the mechanisms of lung carcinogenesis and detecting disease biomarkers may enable early diagnosis of lung cancer.
View Article and Find Full Text PDFJ Math Biol
September 2025
School of Mathematical Sciences and Institute of Natural Sciences, MOE-LSC, CMA-Shanghai, Shanghai Jiao Tong University, Shanghai, China.
It has been noticed that when the waiting time distribution exhibits a transition from an intermediate time power-law decay to a long-time exponential decay in the continuous time random walk model, a transition from anomalous diffusion to normal diffusion can be observed at the population level. However, the mechanism behind the transition of waiting time distribution is rarely studied. In this paper, we provide one possible mechanism to explain the origin of such a transition.
View Article and Find Full Text PDFNat Genet
September 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data.
View Article and Find Full Text PDFNat Commun
September 2025
Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
The phase transformation of single-element systems is a fundamental natural process with broad implications, yet many aspects remain puzzling despite their simplicity. For instance, transition metals, Tantalum (Ta) and Zirconium (Zr), commonly form body-centred cubic crystals when supercooled. However, according to large-scale computer simulations, their crystallisation rates can differ by over 100 times.
View Article and Find Full Text PDFNat Commun
September 2025
State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China.
How terrestrial mean annual temperature (MAT) evolved throughout the past 2 million years (Myr) remains elusive, limiting our understanding of the patterns, mechanisms, and impacts of past temperature changes. Here we report a ~2-Myr terrestrial MAT record based on fossil microbial lipids preserved in the Heqing paleolake, East Asia. The increased amplitude and periodicity shift of glacial-interglacial changes in our record align with those in sea surface temperature (SST) records.
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