编辑丨王多鱼 排版丨水成文 热纳米光子学 在从能源技术到信息处理等各类技术应用中实现了根本性的突破。从热辐射源到热光伏和热 伪装，精确的光谱工程一直受困于反复试验的方法。与此同时， 机器学习 （ Machine Learning ） 在纳 米光子学和超材料的设计方面展现出了强大的能力。 然而，开发一种通用的设计方法来定制具有超宽带控制和精确带选择性的高性能纳米光子辐射源仍是一项 重大挑战，因为它们受到预定义的几何形状和材料、局部优化陷阱以及传统算法的限制。 2025 年 7 月 2 日，上海交通大学 周涵 教授 、 张荻 教授 、新加坡国立大学 仇成伟 教授 、德克萨斯大 学奥斯汀分校 郑跃兵 教授作为共同通讯作者 （上海交通大学 Chengyu Xiao 为第一作者 ） 在 Nature 期 刊发表了题为： Ultrabroadband and band-selective thermal meta-emitters by machine learning 的研 究论文。 该研究提出了一种基于 机器学习 （ Machine Learning ） 的 通用框架，设计出了 多种超宽带和带选择性 的热元辐射源 （ ...

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Core Viewpoint - Gastrointestinal (GI) cancers, including liver, stomach, pancreatic, neuroendocrine tumors, and colorectal cancer, are major causes of cancer-related deaths globally, accounting for approximately 24.6% of all cancer diagnoses and 34.2% of cancer deaths [2] Group 1: Cancer Statistics and Challenges - Colorectal cancer (CRC) ranks third in incidence and second in mortality among all cancers globally, while pancreatic cancer, despite its lower incidence, has the highest mortality rate [2] - Effective screening strategies are primarily limited to CRC, stomach, and esophageal cancers, leading to late-stage diagnoses in many cases, often with no possibility of cure [2] - Nearly 50% of patients diagnosed at an early stage may experience disease recurrence, resulting in poor overall prognosis [2] Group 2: Treatment Challenges and Innovations - Surgical interventions and postoperative chemotherapy have reduced mortality rates, but adverse reactions and drug resistance remain significant challenges [2] - Immunotherapy has emerged as a promising treatment method, yet its efficacy is currently limited to a small subset of patients, highlighting the urgent need for better therapeutic targets and new treatments in GI cancers [2] Group 3: Research on 7MW4911 - A recent study published in Cell Reports Medicine demonstrated that the CDH17-targeted antibody-drug conjugate (ADC) 7MW4911, conjugated with the DNA topoisomerase inhibitor MF-6, showed promising therapeutic effects against multidrug-resistant GI tumors in mouse models [3][6] - CDH17 is highly expressed in GI cancers, with nearly 100% expression in colorectal cancer clinical samples and 23%-88% in other GI cancers, correlating with tumor progression and poor clinical outcomes [5] - Preclinical evaluations indicated that 7MW4911 exhibited strong tumor-killing activity and significant tumor growth inhibition in various GI cancer models, along with favorable pharmacokinetics and safety profiles in non-human primate studies [7][8][10]

Core Viewpoint - The article highlights the significant contributions of Chinese scholars in the field of research, particularly in the publication of papers in the prestigious journal Nature, with 13 out of 24 papers authored by Chinese researchers on July 2, 2025 [1][2][3][4][6][7][10][12][15][17][19][21][23]. Group 1 - On July 2, 2025, a total of 24 papers were published in Nature, with 13 authored by Chinese scholars [1][2][3][4][6][7][10][12][15][17][19][21][23]. - The paper titled "Boron-mediated modular assembly of tetrasubstituted alkenes" was authored by Liang Wei from the University of Bristol [1]. - The research "Stereodivergent transformation of a natural polyester to enantiopure PHAs" was led by Professor Chen Youxian from Colorado State University [2]. Group 2 - The paper "A mouse brain stereotaxic topographic atlas with isotropic 1 μm resolution" was co-authored by Academician Luo Qingming from Hainan University and Professor Gong Hui from Huazhong University of Science and Technology [2]. - The research titled "The mutagenic forces shaping the genomes of lung cancer in never smokers" was co-authored by Tongwu Zhang from the National Cancer Institute [3]. - The study "Mapping and engineering RNA-driven architecture of the multiphase nucleolus" was co-authored by Lifei Jiang from Princeton University [6]. Group 3 - The paper "Ancient DNA reveals the prehistory of the Uralic and Yeniseian peoples" was authored by Tian Chen Zeng from Harvard University [7]. - The research "Hybrid quantum network for sensing in the acoustic frequency range" was co-authored by Jun Jia from the University of Copenhagen [10]. - The study "Rewiring endogenous genes in CAR T cells for tumour-restricted payload delivery" was led by Amanda Xi Ying Chen from the University of Melbourne [12]. Group 4 - The paper "Inter-brain neural dynamics in biological and artificial intelligence systems" was authored by Professor Hong Weizhe from UCLA [15]. - The research "WSTF nuclear autophagy regulates chronic but not acute inflammation" was co-authored by Yu Wang from Harvard University [17]. - The study "PPP2R1A mutations portend improved survival after cancer immunotherapy" was co-authored by Professors Wang Linghua and Zhang Rugang from MD Anderson Cancer Center [19]. Group 5 - The paper "Discovering cognitive strategies with tiny recurrent neural networks" was authored by Li Ji-An from UC San Diego [21]. - The research "Ultrabroadband and band-selective thermal meta-emitters by machine learning" was co-authored by Professors Zhou Han from Shanghai Jiao Tong University and Qiu Chengwei from the National University of Singapore [23].

Core Insights - The article discusses the successful extraction of a complete human genome from an ancient Egyptian mummy dating back approximately 4800 years, marking the first complete genome sequence of an ancient Egyptian [4][6] - The findings reveal genetic similarities between the mummy and ancestors from the North African Neolithic period as well as populations from the Fertile Crescent, indicating a complex ancestry [4][6] - The research enhances understanding of the social status and lifestyle of ancient Egyptians during the Old Kingdom period, suggesting the individual was likely a skilled laborer with a higher social standing but not part of the elite ruling class [6][7] Summary by Sections - **Historical Context**: The mummy studied lived during the early pyramid construction period, around 2855-2570 BC, a time when mummification was not yet widespread [4] - **Genetic Analysis**: The research team extracted seven DNA samples, with two being suitable for sequencing, and compared the results with a database of 3233 modern and 805 ancient genomes [6] - **Ancestry Findings**: Approximately 20% of the genome was closely related to populations from the Fertile Crescent, a region known for early civilizations and writing systems [6] - **Physical Condition**: The individual exhibited signs of arthritis and osteoporosis, indicating a physically demanding lifestyle, likely as a potter, which aligns with his higher social status [6][7] - **Implications for Future Research**: The study provides insights into burial conditions that may aid in the preservation of DNA, paving the way for future discoveries in ancient genetics [7]

撰文丨王聪 编辑丨王多鱼 排版丨水成文 耳聋 是人类最常见的感官障碍，先天性耳聋影响了全世界大约 2600 万人，其中高达 60% 的病例是由基因突变引起。 常染色体隐性遗传耳聋9型 （ DFNB9 ） ，是由 编码 耳畸蛋白 （Otoferlin） 的 OTOF 基因突变导致的感音神经性耳聋，占 遗传性耳聋的 2%-8%。耳畸蛋白能使内耳毛细胞响应声音刺激而释放神经 递质，激活听觉神经元，当其功能受损时，声音信号将无法被传达到大脑，从而导致感音神经性耳聋。 此前， 复旦大学附属眼耳鼻喉科医院 舒易来 教授 、 东南大学 附属中大医院 柴人杰 教授等 已经在低龄儿童患者中证实了 AAV 基因治疗 能够安全且有效地恢 复 DFNB9 患者的听力，相关研究发表于《 柳叶刀 》、 Nature Medicine 、 Advanced Science 等期刊。但还有一些关键科学问题亟待解答—— 大龄 DFNB9 患者是否能够受益于 AAV 基因疗法？是否存在最佳治疗年龄窗口？ 2025 年 7 月 2 日 ， 东南大学 附属中大医院 柴人杰 教授联合加州大学欧文分校 曾凡钢 教授，山东省第二人民医院 （山东省耳鼻喉医 ...

Core Viewpoint - The article discusses a groundbreaking study that presents a mouse brain stereotaxic topographic atlas with isotropic 1 μm resolution, which is expected to enhance multi-omics research at the single-cell level in neuroscience [3][6][8]. Group 1 - The research team, including academicians from Hainan University, Huazhong University of Science and Technology, and UCLA, published their findings in the journal Nature, detailing a 3D brain atlas for mice [3]. - The atlas, named STAM, provides a comprehensive dataset of 916 brain structures and allows for the generation of high-resolution images at any angle [6][8]. - The study utilizes continuous micro-optical sectioning imaging technology to create a dataset based on Nissl staining, achieving isotropic 1 μm resolution [6]. Group 2 - The STAM atlas is designed to support large-scale brain mapping projects by providing data analysis and visualization capabilities [8]. - It includes an informatics platform for visualizing and sharing atlas images, facilitating tasks such as brain slice registration and neuron circuit mapping [6]. - The atlas is compatible with widely used stereotaxic atlases, enabling cross-atlas navigation in both 2D and 3D spaces [6].

Core Viewpoint - Perovskite solar cells (PSC) are recognized as a key direction for next-generation photovoltaic technology due to their high efficiency, low cost, and solution processing capabilities. The development of self-assembled molecules (SAM) is crucial for enhancing the performance of PSCs [2]. Group 1: Research Breakthroughs - A significant breakthrough was achieved in the design of new organic self-assembled molecules, resulting in the first development of a highly efficient, stable, and well-dispersed self-assembled molecular material with dual radical characteristics [2][5]. - The research team successfully designed a dual radical self-assembled monolayer to facilitate hole transport within the monolayer [4]. Group 2: Performance Metrics - The small-area devices based on the new material achieved a power conversion efficiency of 26.3%, while micro-modules (10.05 cm²) reached an efficiency of 23.6%. The perovskite-silicon tandem cells (1 cm²) exceeded 34.2% efficiency, certified by the National Renewable Energy Laboratory (NREL) [7]. - The developed materials and devices exhibited excellent stability, maintaining over 97% performance retention after 2000 hours of operation at 45°C, significantly surpassing traditional materials and devices [8]. Group 3: Implications for Industry - This research provides a new molecular design paradigm to address the conductivity, stability, and large-area processing challenges in perovskite solar cells, injecting core driving forces for the industrialization of next-generation efficient and stable photovoltaic components [8].

Core Viewpoint - MD Anderson Cancer Center is recruiting postdoctoral researchers to advance cutting-edge single-cell multi-omics technologies and explore molecular regulatory networks in cancer development and drug resistance [3][8]. Group 1: Research Focus - The laboratory aims to develop single-cell multi-omics technologies, investigate the epigenetic regulatory mechanisms of cancer cell plasticity, and understand the epigenetic basis of individualized drug responses [3]. - The research group is led by Dr. Zhang Bingjie, who has a strong background in epigenomics and single-cell multi-omics [2]. Group 2: Institutional Overview - MD Anderson Cancer Center is a leading cancer treatment and research institution, consistently ranked as the top cancer specialty by U.S. News & World Report, located in Houston, Texas [8]. - The center has conducted over 1,680 clinical trials in 2024, with 22 drugs approved by the FDA and research funding amounting to $1.1 billion [8]. Group 3: Application Requirements - The position is for two postdoctoral researchers in genomics and tumor biology, requiring a Ph.D. in relevant biological fields [9][10]. - Candidates with backgrounds in tumor biology, genomics, and computational biology are preferred, along with strong communication and teamwork skills [10][11].

浙江大学医学院姜东课题组诚聘专职研究员和博士后 浙江大学医学院 姜东 课题组，现公开招聘 专职研究员 和 博士后 ，欢迎相关背景的优秀申请者 加入 我们 的团队 ！ 实验室简介 姜东 ，浙江大学医学院 " 百人计划 " 研究员、博士生导师、浙江大学医学院附属第二医院 / 经血管植入器 械全国重点实验室研究员。 2014 年毕业于厦门大学获学士学位， 2019 年毕业于清华大学获博士学位， 并继续在清华大学完成博士后研究， 2025 年全职加入浙江大学 ，实验室位于浙江大学紫金港校区 。姜东 一直致力于 迁移体 （ migrasome ） 的生物学功能与机制研究，全程参与并系统推进了迁移体生物学的建 立与发展。博士 / 博后期间首次建立了迁移体研究的动物模型，开发了哺乳动物迁移体活体成像技术平台 等一系列体内迁移体研究的方法和系统，解析了迁移体在胚胎发育、凝血、肿瘤和免疫中的生理病理功 能，揭示了迁移体介导的时空特异性信号传递、信号梯度形成及细胞间通讯的新机制，开创了体内迁移体 研究的范式。相关研究工作 以第一（含共同）作者 发表在 Nature Cell Biology ( 2019 cover , 2024 ...