A Flp-dependent G-CaMP9a transgenic mouse for neuronal imaging in vivo [0.03%]
一种体内神经元成像的Flp依赖型G-CaMP9a转基因小鼠
Masayuki Sakamoto,Masatoshi Inoue,Atsuya Takeuchi et al.
Masayuki Sakamoto et al.
Genetically encoded calcium indicators (GECIs) are widely used to measure calcium transients in neuronal somata and processes, and their use enables the determination of action potential temporal series in a large population of neurons. Her...
Multiparametric platform for profiling lipid trafficking in human leukocytes [0.03%]
人类白细胞脂质运输剖析的多参数平台
Simon G Pfisterer,Ivonne Brock,Kristiina Kanerva et al.
Simon G Pfisterer et al.
Systematic insight into cellular dysfunction can improve understanding of disease etiology, risk assessment, and patient stratification. We present a multiparametric high-content imaging platform enabling quantification of low-density lipop...
A stress-reduced passaging technique improves the viability of human pluripotent cells [0.03%]
一种减压传代技术可提高人多能细胞的存活率
Kazutoshi Takahashi,Chikako Okubo,Michiko Nakamura et al.
Kazutoshi Takahashi et al.
Xeno-free culture systems have expanded the clinical and industrial application of human pluripotent stem cells (PSCs). However, reproducibility issues, often arising from variability during passaging steps, remain. Here, we describe an imp...
NeuroGT: A brain atlas of neurogenic tagging CreER drivers for birthdate-based classification and manipulation of mouse neurons [0.03%]
神经元生成标记克雷驱动脑图谱：基于出生日期的小鼠神经元分类与操作
Tatsumi Hirata,Yukako Tohsato,Hiroya Itoga et al.
Tatsumi Hirata et al.
Neuronal birthdate is one of the major determinants of neuronal phenotypes. However, most birthdating methods are retrospective in nature, allowing very little experimental access to the classified neuronal subsets. Here, we introduce four ...
Christopher J Potter
Christopher J Potter
The ability to express a gene in all neurons is a crucial tool for studying the nervous system. Zhao et al., 2021 unlock genetic access to all neurons in mosquitoes by generating the first pan-neuronal transgenes in this non-model insect. ...
Huw D Summers
Huw D Summers
Deep learning neural networks are a powerful tool in the analytical toolbox of modern microscopy, but they come with an exacting requirement for accurately annotated, ground truth cell images. Otesteanu et al. (2021) elegantly streamline th...
Computational tools for analyzing single-cell data in pluripotent cell differentiation studies [0.03%]
用于多能细胞分化研究的单细胞数据分析计算工具
Jun Ding,Amir Alavi,Mo R Ebrahimkhani et al.
Jun Ding et al.
Single-cell technologies are revolutionizing the ability of researchers to infer the causes and results of biological processes. Although several studies of pluripotent cell differentiation have recently utilized single-cell sequencing data...
Christian Kramme,Alexandru M Plesa,Helen H Wang et al.
Christian Kramme et al.
With the recent advancements in genome editing, next-generation sequencing (NGS), and scalable cloning techniques, scientists can now conduct genetic screens at unprecedented levels of scale and precision. With such a multitude of technolog...
Spatial correlation statistics enable transcriptome-wide characterization of RNA structure binding [0.03%]
空间相关统计学能够表征全转录本范围的RNA结构结合特性
Veronica F Busa,Alexander V Favorov,Elana J Fertig et al.
Veronica F Busa et al.
Molecular interactions at identical transcriptomic locations or at proximal but non-overlapping sites can mediate RNA modification and regulation, necessitating tools to uncover these spatial relationships. We present nearBynding, a flexibl...
Sparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging [0.03%]
高速高分辨全脑成像的稀疏成像与重建断层成像技术
Han Chen,Tianyi Huang,Yuexin Yang et al.
Han Chen et al.
Understanding brain functions requires detailed knowledge of long-range connectivity through which different areas communicate. A key step toward illuminating the long-range structures is to image the whole brain at synaptic resolution to t...