Nature biotechnology最新文献_第3页

Shotgun engineering fires up mammalian metabolic design 猎枪工程激发了哺乳动物的代谢设计

IF 46.9 1区生物学

Nature biotechnology Pub Date : 2026-10-06 DOI: 10.1038/s41587-026-03329-4

Kshitij Rai,Caleb J. Bashor

引用次数: 0

High-throughput metabolic engineering in mammalian cells. 哺乳动物细胞的高通量代谢工程。

IF 44.5 1区生物学

Nature biotechnology Pub Date : 2026-10-06 DOI: 10.1038/s41587-026-03317-8

引用次数: 0

Decoding systemic vascular health and hypertensive disorders in pregnancy through retinal imaging and Visionary AI 通过视网膜成像和视觉人工智能解码妊娠期全身血管健康和高血压疾病

IF 46.9 1区生物学

Nature biotechnology Pub Date : 2026-10-06 DOI: 10.1038/s41587-026-03303-0

Srilaxmi Bearelly, Cassandra Areff, Matthew K. Hoffman, Daniel Sunko, Andrew F. Laine, Bin Choi, Hanna Rodriguez Coleman, Bianca Cordazzo Vargas, Chloe Y. Li, Jennifer J. Dawkins, Emily Amir, Sahar Paz, Lisa A. Hark, Whitney A. Booker, April A. Jauhal, Justin S. Brandt, Ronald J. Wapner, Liat Shenhav

{"title":"Decoding systemic vascular health and hypertensive disorders in pregnancy through retinal imaging and Visionary AI","authors":"Srilaxmi Bearelly, Cassandra Areff, Matthew K. Hoffman, Daniel Sunko, Andrew F. Laine, Bin Choi, Hanna Rodriguez Coleman, Bianca Cordazzo Vargas, Chloe Y. Li, Jennifer J. Dawkins, Emily Amir, Sahar Paz, Lisa A. Hark, Whitney A. Booker, April A. Jauhal, Justin S. Brandt, Ronald J. Wapner, Liat Shenhav","doi":"10.1038/s41587-026-03303-0","DOIUrl":"https://doi.org/10.1038/s41587-026-03303-0","url":null,"abstract":"Hypertensive disorders of pregnancy arise from early placental and systemic vascular dysfunction, yet current first-trimester screening remains imprecise, biologically opaque and logistically challenging. Here we present Visionary AI, an interpretable platform that integrates retinal imaging with graph-based vascular modeling to predict hypertensive disorders before clinical onset. Visionary AI converts retinal images into topological and geometric representations of microvascular structure, enabling risk prediction from biologically grounded vascular features rather than generic image embeddings or clinical variables. In a prospective development cohort of 1,267 pregnancies, Visionary AI achieved strong performance for preeclampsia across population-wide control settings (area under the curve (AUC) = 0.91, average precision (AP) = 0.81). A stability-optimized model transferred without retraining to an independent external validation cohort, achieving AUC = 0.81 and AP = 0.68 and outperforming clinical and deep learning benchmarks. Recurrent features involving retinal vascular topology, geometry, network complexity and hierarchical organization position the maternal retina as a minimally invasive biosensor of systemic vascular health and Visionary AI as a biologically interpretable framework for pregnancy risk stratification.","PeriodicalId":19084,"journal":{"name":"Nature biotechnology","volume":"41 1","pages":""},"PeriodicalIF":46.9,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Behind (cell) walls 在（牢房）墙后面。

IF 44.5 1区生物学

Nature biotechnology Pub Date : 2026-10-05 DOI: 10.1038/s41587-026-03356-1

引用次数: 0

Detectrons convert transient RNA sequences into stable DNA barcodes for high-throughput analysis of RNA-dependent processes 检测器将瞬态RNA序列转化为稳定的DNA条形码，用于RNA依赖过程的高通量分析

IF 46.9 1区生物学

Nature biotechnology Pub Date : 2026-10-05 DOI: 10.1038/s41587-026-03334-7

Jihoon Han, Seth L. Shipman

{"title":"Detectrons convert transient RNA sequences into stable DNA barcodes for high-throughput analysis of RNA-dependent processes","authors":"Jihoon Han, Seth L. Shipman","doi":"10.1038/s41587-026-03334-7","DOIUrl":"https://doi.org/10.1038/s41587-026-03334-7","url":null,"abstract":"Programmable RNA sensors such as toehold switches are used to detect specific RNA sequences. However, their reliance on protein-based or RNA-based outputs limits their use in multiplexed and sequencing-based applications. Here we introduce Detectrons, modular biosensors that couple programmable toehold switches with retron-mediated reverse transcription to transduce RNA inputs into unique DNA barcodes, converting dynamic RNA signals into durable DNA records within living cells. The framework enables alternative modes of transcript-based sensing with applications including viral infection detection. Through the construction of a synthetic toehold retron library and application of machine learning, we uncover key design principles that improve signal strength and specificity. We apply Detectrons to the multiplexed live-cell detection of specific phage infections, enabling transcript-triggered barcode synthesis and quantitative host susceptibility profiling in pooled bacterial populations. Detectrons provide a scalable and generalizable strategy for phage screening and for recording transcriptional events in complex bacterial communities.","PeriodicalId":19084,"journal":{"name":"Nature biotechnology","volume":"36 1","pages":""},"PeriodicalIF":46.9,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149087611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discovery and engineering of avian R2 retrotransposons for all-RNA-mediated targeted DNA integration in human cells 禽R2反转录转座子的发现和工程用于人类细胞中全rna介导的靶向DNA整合

IF 46.9 1区生物学

Nature biotechnology Pub Date : 2026-10-05 DOI: 10.1038/s41587-026-03315-w

Yangcan Chen, Yanping Hu, Shengqiu Luo, Bangwei Mao, Na Tang, Chenxin Wang, Yuze Wang, Hanyu Bai, Xinge Wang, Changxian Peng, Qicheng Chen, Jiahui Xiao, Yu Zou, Peng Wang, Rui Niu, Jin Zhang, Yulong Zhao, Chen Liang, Yunlong Wang, Yiyun Li, Junjie Wang, Ng Shyh-Chang, Tuo Wei, Haoyi Wang, Qi Zhou, Wei Li

引用次数: 0

Deep learning perturbation models can outperform baselines on calibrated metrics 深度学习扰动模型可以在校准指标上优于基线

IF 46.9 1区生物学

Nature biotechnology Pub Date : 2026-10-01 DOI: 10.1038/s41587-026-03307-w

Henry E. Miller, Gabriel M. Mejia, Francis J. A. Leblanc, Brendan Swain, Bo Wang, Lucas Paulo de Lima Camillo

引用次数: 0

AI-guided optimization for thermostable mRNA vaccines. 人工智能引导的耐热mRNA疫苗优化。

IF 44.5 1区生物学

Nature biotechnology Pub Date : 2026-09-28 DOI: 10.1038/s41587-026-03330-x

引用次数: 0

Cargo size matters when designing lipid nanoparticles for delivery of large gene editors. 当设计用于递送大型基因编辑器的脂质纳米颗粒时，货物大小很重要。

IF 44.5 1区生物学