Marius F Harter,Elisa D&#x;Arcangelo,Julien Aubert et al.
Marius F Harter et al.
Histology has been a cornerstone for complex in vitro model (CIVM) characterization for decades. However, it remains a low-throughput method with time-consuming workflows. Here, we introduce a holistic "histo-workflow," utilizing 3D-printed...
Efficiency landscape of bioorthogonal click reactions producing bispecific antibody conjugates [0.03%]
用于产生双特异性抗体缀合物的生物正交点击反应的效率景观分析
László Petri,Írisz K Kovács,Boglárka Szabó et al.
László Petri et al.
Bioorthogonal conjugation techniques offer a powerful and flexible approach for the modular construction of multifunctional biomolecules, such as bispecific antibodies. In this study, we systematically compared two inverse electron demand D...
Improved Cas9-targeted nanopore sequencing facilitates ultra-deep analysis of genomic variation [0.03%]
改进的Cas9导向型纳米孔测序技术可实现对基因组变异的超深度分析
Nick Vereecke,Megan Behrmann,Anupama Khare et al.
Nick Vereecke et al.
We present nanopore adapter-enriched Cas9-targeted sequencing (nAECATS), a method permitting inexpensive, ultra-deep, selective long-read sequencing of targeted regions in native, unamplified DNA. This method modifies previous Cas9-targeted...
A multi-tiered workflow for examining organic acid profiles delineates tissue-specific changes in fatty acyl partitioning during aging [0.03%]
一个多层级工作流程用于检查有机酸谱图，阐明脂肪酰基在老化过程中的组织特异性变化分区情况
Zhiyang Zhou,Chenyin Cao,Taochao Lu et al.
Zhiyang Zhou et al.
Fatty acids (FAs), as the predominant organic acids, form a major component of the metabolome. We present a multi-tiered method that comprehensively captures FA diversity-including chain lengths (C2-C34), unsaturation, isomers, and endogeno...
High-quality acinar cell isolation enables single-cell analysis of healthy and injured pancreas [0.03%]
高质量的胰腺小导管细胞分离能够用于健康和受损胰脏的单细胞分析
Nirav Florian Chhabra,Leeanne J Mundle,Henrik Einwächter et al.
Nirav Florian Chhabra et al.
Acinar cells are the predominant cell type of the pancreas. However, in single-cell RNA sequencing datasets from healthy murine pancreas, acinar cells typically represent less than half of the total cells. Here, we developed a protocol that...
Genetic modification of intractable bacterial clones by heat shock-facilitated phage transduction [0.03%]
利用热激噬菌体转导改造难治性细菌克隆的基因型
Lukas Schulze,Jens Stahl,Nastassia J Knödlseder et al.
Lukas Schulze et al.
Increasing recognition of commensal bacteria as essential for microbiome integrity and pathogen exclusion underscores the urgency of molecularly characterizing commensal interactions. However, many commensals cannot be transformed using ava...
A protein surface-aware multimodal framework for residue-level metal-binding site recognition [0.03%]
一种用于识别残基水平金属结合位点的蛋白质表面感知多模态框架
Bowen Shao,Pengpai Li,Zhi-Ping Liu
Bowen Shao
Accurate identification of metal-binding sites is essential for elucidating metalloprotein functions in cellular processes. Here, we introduce MetalBind, a protein surface-aware, multimodal deep learning framework tailored for residue-level...
An improved preservation method for human dorsal root ganglion neurons enables wider access to human molecular pain neuroscience [0.03%]
改进的人源背根神经节神经元保存方法使人类分子痛觉神经科学更具普及性
Joseph B Lesnak,Mandee K Schaub,Kimberly Gomez et al.
Joseph B Lesnak et al.
The use of human dorsal root ganglion (DRG) from organ donors opens the door for research into molecular biology and physiology of human nociceptors; however, there are barriers to working with this tissue including logistical difficulties ...
Light-inducible FLPase reconstitution enables temporal control of gene expression in Drosophila melanogaster [0.03%]
光诱导的FLP酶重组可在果蝇中实现基因表达的时间控制
Rishi V Shridharan,Nils Schoovaerts,Patrik Verstreken et al.
Rishi V Shridharan et al.
Precise temporal control of gene expression is a prerequisite for disentangling timing-specific effects of gene function within the life cycle of Drosophila melanogaster. Here, we implement light-inducible FLPase reconstitution (LIFR) as a ...
A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer [0.03%]
一种基于网络的深度学习模型，通过整合亚克隆结构用于癌症治疗反应预测
Sungnam Kim,Doyeon Ha,A-Reum Nam et al.
Sungnam Kim et al.
Predicting treatment response remains challenging in oncology, particularly given the growing diversity of therapeutic options. Despite efforts using gene expression signatures, or integrative multi-omics frameworks, robust and interpretabl...