Nature | 从核磁共振谱的缺失信息中解析蛋白质毫秒尺度动力学
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TL;DR — Nature 研究提出 Dyna-1，利用核磁共振谱中缺失的骨架 ^15N 信号作为弱监督信息，从蛋白质序列和结构预测具有功能意义的微秒至毫秒尺度构象交换。
- 团队构建了包含 133 种蛋白质的 RelaxDB，以及涵盖 9,381 种蛋白质缺失指派信息的 mBMRB。
- Dyna-1 融合 ESM-3 的序列与结构表征，在严格同源性隔离验证中达到约 0.74 AUROC。
- 独立弛豫和 CPMG 实验证实，模型能够识别真实的 µs–ms 构象交换，包括常规 CPMG 分析遗漏的动力学。
- 前瞻性实验显示 Chitinase 19 存在广泛交换，而 yjbJ 交换很少，总体符合模型预测。
注：另外两则来源分别介绍 RIED 超分辨发光成像和母婴肠道微生物组研究，与标题所指工作并非同一研究，故未合并。
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Nature | 从核磁共振谱的缺失信息中解析蛋白质毫秒尺度动力学
TL;DR - A Nature study introduces Dyna-1, which learns millisecond-scale protein dynamics from missing NMR signals. It turns previously discarded spectral gaps into weak supervision for predicting functionally important conformational changes.
- Researchers built RelaxDB from 133 proteins and mBMRB from 9,381 proteins with missing backbone ^15N assignments.
- Dyna-1 combines ESM-3 sequence and structure representations, achieving about 0.74 AUROC under strict homology-separated validation.
- Independent relaxation and CPMG experiments showed that it predicts real µs–ms exchange, including dynamics missed by conventional CPMG analysis.
- Prospective experiments confirmed broad exchange in Chitinase 19 and minimal exchange in yjbJ, broadly matching model predictions.
浙大×哈工大合作Nature：超分辨化学显微术，长时间看清活细胞中的“纳米世界”
TL;DR - A Nature paper introduces RIED, a reaction-luminescence-based computational imaging method that achieves roughly 100 nm super-resolution without excitation light. Its zero-phototoxicity bioluminescence mode enabled continuous live-cell imaging for up to 41 hours.
- RIED combines entropy weighting, spatiotemporal correlation, and sparse deconvolution to recover structure from low-photon luminescence events.
- The method supports electrochemiluminescence, chemiluminescence, and bioluminescence, achieving lateral resolutions of 97–117 nm.
- RIED-ECL delivered 3D and large-field imaging while lowering the cellular carcinoembryonic-antigen detection threshold eightfold versus fluorescence SACD.
- Long-duration RIED-BL imaging quantified mitochondrial dynamics and tracked two modes of intercellular mitochondrial transfer.
Nature：重要性超乎想象，全面揭示母亲对婴儿肠道微生物组及其健康的影响
TL;DR - A Nature study of 714 mother–infant pairs finds that maternal gut microbes are the primary source of infants’ gut microbiomes, with early microbial development potentially affecting later health.
- Researchers analyzed 4,526 longitudinal stool samples using metagenomic sequencing and integrated 474 clinical and exposure variables.
- Delivery and feeding methods strongly shaped infant microbial composition and functions, including carbohydrate metabolism.
- Maternal gut-to-infant transmission was common, whereas transmission from breast milk and the reproductive tract was rare.
- Maternal microbiome characteristics were associated with infant eczema, suggesting links between maternal microbial health and childhood outcomes.