The metabolome of an E. coli CRISPRi library identifies benefits of minimal metabolite levels and targets for engineering [0.03%]
Johanna Rapp,Andreas Verhülsdonk,Anton Garcke et al.
Johanna Rapp et al.
Published Erratum
Cell systems. 2026 May 9:101620. DOI:10.1016/j.cels.2026.101620 2026
Ruochi Zhang,Mihir Bafna,Jianzhu Ma et al.
Ruochi Zhang et al.
Higher-order genetic interactions have profound implications for understanding the molecular mechanisms of phenotypic variation, yet they remain poorly characterized. Most studies focus on pairwise interactions because high-throughput scree...
Modeling chimeric antigen receptor response at the single-cell level with conditional optimal transport [0.03%]
基于条件最优传输的CAR-T反应单细胞模型研究
Alice Driessen,Jannis Born,Rocio Castellanos Rueda et al.
Alice Driessen et al.
Chimeric antigen receptor (CAR) T cell therapy is a promising cancer immunotherapy; however, several challenges hamper its clinical efficacy. Although new computational models are attempting to explore the vast combinatorial design space of...
Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer [0.03%]
基于多模态深度学习的融合影像与代谢建模的卵巢癌研究
Noushin Eftekhari,Suraj Verma,Aninda Saha et al.
Noushin Eftekhari et al.
Integrating genotype (e.g., transcriptomics), phenotype (e.g., imaging), and tumor microenvironment (e.g., metabolomics) is crucial to elucidating the molecular basis of ovarian cancer. However, there is a lack of robust multimodal integrat...
Recurrent neural chemical reaction networks that approximate arbitrary dynamics [0.03%]
可逼近任意动力学的循环神经化学反应网络
Alexander Dack,Benjamin Qureshi,Thomas E Ouldridge et al.
Alexander Dack et al.
Many important phenomena in biochemistry and biology exploit dynamical features such as multi-stability, oscillations, and chaos. The construction of novel chemical systems with such rich dynamics is a challenging problem central to the fie...
Comprehensive RNA-binding protein analyses and deep learning uncover genetic constraints and disease associations in protein-RNA interfaces [0.03%]
全面的RNA结合蛋白分析及深度学习揭示蛋白质-RNA界面上的遗传约束和疾病关联
Hsuan-Lin Her,Brian A Yee,Shuhao Xu et al.
Hsuan-Lin Her et al.
RNA-binding proteins (RBPs) orchestrate post-transcriptional processes, including splicing, cleavage and polyadenylation, and translation. Our updated RBP resource integrates data from 92 additional RBPs (286 in total) profiled by enhanced ...
Mechanistic modeling of recessive disease through allelic integration of variant effects [0.03%]
通过等位基因变异效应整合的机制模型来研究隐性疾病的发病机制
Hasan Çubuk,Marcin Plech,Vahid Aslanzadeh et al.
Hasan Çubuk et al.
Interpreting variants in recessive diseases is difficult because clinical severity depends on the combined function of both alleles. Deep mutational scanning (DMS) experiments can provide functional measurements at scale, but their scores o...
Cell shapes decode molecular phenotypes in image-based spatial proteomics [0.03%]
基于图像的空間蛋白质组学中细胞形态解码分子表型
Trang Le,William D Leineweber,Matheus P Viana et al.
Trang Le et al.
Cellular and tissue structures arise from a few cell shapes, which undergo transformations based on biophysical constraints. Despite links between signaling pathways and cellular geometry, whole-proteome orchestration in association with ce...
Phased fragility and stability of non-genetic B cell states in the germinal center accelerate the genetic evolution of antibodies [0.03%]
生发中心B细胞非遗传状态的阶段性脆弱性和稳定性加速了抗体的遗传进化
Mark Y Xiang,Haripriya Vaidehi Narayanan,Vaibhava Kesarwani et al.
Mark Y Xiang et al.
Vaccine responses depend on the Darwinian genetic evolution of B cells to generate high-affinity antibodies. However, B cells gain non-genetic heterogeneity while searching for antigen and T helper cells, but then their non-genetic cell sta...
Pancreatic islet oscillation rhythmicity arises from δ and α cell interactions [0.03%]
胰岛振荡节律性源自δ和α细胞间的相互作用
Huixia Ren,Yanjun Li,Beichen Xie et al.
Huixia Ren et al.
Glucose-stimulated hormone secretion in pancreatic islets is closely linked to oscillations in cytoplasmic Ca2+, which arise from complex intra- and intercellular signaling. δ cells, intermingled with peripheral α cells, are important par...