Neha Srinivas,Serap Erdogmus,Gurkan Mollaoglu
Neha Srinivas
Intratumoral heterogeneity (ITH) is the coexistence of diverse cancer cell states, genotypes, and microenvironmental niches within a single tumor and is a major driver of therapeutic resistance and disease progression. While the clinical im...
Vijayaraj Nagarajan,Reiko Horai,Guangpu Shi et al.
Vijayaraj Nagarajan et al.
IAN is an R package addressing the challenge of integrating, analyzing, and interpreting gene expression data using an artificial intelligence (AI) system. It leverages popular pathway (KEGG, WikiPathways, Reactome, and GO) and regulatory d...
Simple 3D-printed stirred bioreactor enhances retinal organoid production via improved oxygenation [0.03%]
一种简单的3D打印搅拌生物反应器通过改善供氧来增强视网膜器官生产
Kyle H Schwab,Philsang Hwang,Ki Yoon Nam et al.
Kyle H Schwab et al.
Static cultures, the standard for growing monolayer cells, were presumed suitable for and widely used during the initial adherent phase of retinal organoid (RO) differentiation. This assumption may be incorrect, as monolayer human pluripote...
Direct quantification of the metabolic heat output of individual Drosophila brains [0.03%]
单个果蝇大脑代谢热输出的直接量化
Kanishka Panda,Rohith Mittapally,Qianqian Chen et al.
Kanishka Panda et al.
Quantitative insights into brain metabolism are essential for advancing our understanding of the energy dynamics in the brain. Here, we present a nanowatt-resolution biocalorimeter capable of real-time metabolic heat output measurements of ...
Φ-Space ST: A platform-agnostic method to identify cell states in spatial transcriptomics studies [0.03%]
基于空间转录组学研究的细胞状态识别平台无关方法
Jiadong Mao,Jarny Choi,Kim-Anh Lê Cao
Jiadong Mao
We introduce Φ-Space ST, a platform-agnostic method to identify continuous cell states in spatial transcriptomics (ST) data using multiple scRNA-seq references. For ST with supercellular resolution, Φ-Space ST achieves interpretable cell-...
Systematic benchmarking of CUT&Tag improves the reliability and reproducibility of chromatin analysis [0.03%]
系统评估CUT&Tag可提高染色质分析的可靠性和重复性
Josiah D Murray,Atrayee Ray,Khanmi Kasomva et al.
Josiah D Murray et al.
Cleavage under target and tagmentation (CUT&Tag) is a widely used method for profiling chromatin occupancy; however, its reproducibility is impacted by a lack of standardization in experimental and analytical procedures. This study identifi...
A hybrid micro-ECoG for functionally targeted multi-site and multi-scale investigation [0.03%]
一种混合型微ECoG，用于功能性靶点的多部位和跨尺度研究
Patrick Jendritza,Rickard Liljemalm,Thomas Stieglitz et al.
Patrick Jendritza et al.
Brain function relies on coordinated activity across spatial and temporal scales. Single neurons integrate local and long-range connectivity and reflect activity across brain-wide networks. Understanding integrated brain function requires t...
FLIM Playground: An interactive, end-to-end graphical user interface for analyzing single cells with fluorescence lifetime imaging microscopy [0.03%]
FLIM Playground：一种用于使用荧光寿命成像显微镜分析单细胞的交互式端到端图形用户界面
Wenxuan Zhao,Kayvan Samimi,Melissa C Skala et al.
Wenxuan Zhao et al.
Fluorescence lifetime imaging microscopy (FLIM) is sensitive to molecular environments and enables high-resolution mapping of cellular heterogeneity. Yet, the journey from raw photon decays to biological insight remains fragmented by multi-...
OrgLine: A versatile pipeline for organoid morphometry using detector-guided prompts [0.03%]
OrgLine：一种使用检测器引导提示的器官体形态测量通用管道
Xun Deng,Xinyu Hao,Thomas Herget et al.
Xun Deng et al.
Patient-derived organoids are increasingly being used in disease modeling, clinical research, drug development, and precision medicine. However, capturing complex organoid behaviors in dense three-dimensional culture environments remains ch...
DeepFaceMouse enables scalable prediction of large-scale brain activity from facial dynamics in mice [0.03%]
DeepFaceMouse能够从面部动态预测大规模小鼠脑活动
Kemal Ozdemirli,Tenesha Connor,Kaleb Kim et al.
Kemal Ozdemirli et al.
DeepFaceMouse is a high-precision, scalable deep learning framework for analyzing orofacial behavior in mice and predicting large-scale brain activity from facial dynamics. Built on a pose-estimation pipeline with optimized training, infere...