Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments [0.03%]
单细胞蛋白质组实验的执行、评估和报告初步建议
Laurent Gatto,Ruedi Aebersold,Juergen Cox et al.
Laurent Gatto et al.
Analyzing proteins from single cells by tandem mass spectrometry (MS) has recently become technically feasible. While such analysis has the potential to accurately quantify thousands of proteins across thousands of single cells, the accurac...
A modular architecture for organizing, processing and sharing neurophysiology data [0.03%]
一种用于组织、处理和共享神经生理数据的模块化架构
International Brain Laboratory;Niccolò Bonacchi,Gaelle A Chapuis,Anne K Churchland et al.
International Brain Laboratory;Niccolò Bonacchi et al.
We describe an architecture for organizing, integrating and sharing neurophysiology data within a single laboratory or across a group of collaborators. It comprises a database linking data files to metadata and electronic laboratory notes; ...
Dario Righelli,Andrea Sottosanti,Davide Risso
Dario Righelli
Ethan A G Baker,Denis Schapiro,Bianca Dumitrascu et al.
Ethan A G Baker et al.
As spatially resolved multiplex profiling of RNA and proteins becomes more prominent, it is increasingly important to understand the statistical power available to test specific hypotheses when designing and interpreting such experiments. I...
Single-cell proteomics enabled by next-generation sequencing or mass spectrometry [0.03%]
基于新一代测序或质谱的单细胞蛋白质组学
Hayley M Bennett,William Stephenson,Christopher M Rose et al.
Hayley M Bennett et al.
In the last decade, single-cell RNA sequencing routinely performed on large numbers of single cells has greatly advanced our understanding of the underlying heterogeneity of complex biological systems. Technological advances have also enabl...
Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa [0.03%]
自监督机器学习推动无标签检测单个蛋白质的灵敏度突破10kDa限制
Mahyar Dahmardeh,Houman Mirzaalian Dastjerdi,Hisham Mazal et al.
Mahyar Dahmardeh et al.
Interferometric scattering (iSCAT) microscopy is a label-free optical method capable of detecting single proteins, localizing their binding positions with nanometer precision, and measuring their mass. In the ideal case, iSCAT is limited by...
Field-dependent deep learning enables high-throughput whole-cell 3D super-resolution imaging [0.03%]
基于领域的深度学习实现高通量全细胞三维超分辨率成像
Shuang Fu,Wei Shi,Tingdan Luo et al.
Shuang Fu et al.
Single-molecule localization microscopy in a typical wide-field setup has been widely used for investigating subcellular structures with super resolution; however, field-dependent aberrations restrict the field of view (FOV) to only tens of...
Yao-Wen Wu
Yao-Wen Wu
Mesoscale volumetric light-field (MesoLF) imaging of neuroactivity across cortical areas at 18 Hz [0.03%]
一种轻量级的神经元活动追踪方法，可在皮层区域以每秒18帧（fps）绘制体积光场
Tobias Nöbauer,Yuanlong Zhang,Hyewon Kim et al.
Tobias Nöbauer et al.
Various implementations of mesoscopes provide optical access for calcium imaging across multi-millimeter fields of view in the mammalian brain; however, capturing the activity of the neuronal population within such fields of view near-simul...
Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations [0.03%]
基于爆发的SARS-CoV-2变异体和突变的大规模且动态的监测报告
Karthik Gangavarapu,Alaa Abdel Latif,Julia L Mullen et al.
Karthik Gangavarapu et al.
In response to the emergence of SARS-CoV-2 variants of concern, the global scientific community, through unprecedented effort, has sequenced and shared over 11 million genomes through GISAID, as of May 2022. This extraordinarily high sampli...