Szanda Gergő, Wisniewski Éva, Barna László, Turu Gábor, Mackie Ken
Gill Institute for Neuroscience, Program in Neuroscience, Department of Psychological and Brain Sciences Indiana University, Bloomington, IN 47405, USA; Department of Physiology, Semmelweis University Medical School, Budapest 1094, Hungary.
Gill Institute for Neuroscience, Program in Neuroscience, Department of Psychological and Brain Sciences Indiana University, Bloomington, IN 47405, USA; Department of Physiology, Semmelweis University Medical School, Budapest 1094, Hungary.
STAR Protoc. 2025 Mar 21;6(1):103588. doi: 10.1016/j.xpro.2024.103588. Epub 2025 Jan 24.
Microscopic cell segmentation typically requires complex imaging, staining, and computational steps to achieve acceptable consistency. Here, we describe a protocol for the high-fidelity segmentation of the nucleus and cytoplasm in cell culture and apply it to monitor interferon-induced signal transducer and activator of transcription (STAT) signaling. We provide guidelines for sample preparation, image acquisition, and segmentation. The approach performs indistinguishably from neural-network-based segmentation while requiring only conventional and cost-effective techniques. The protocol can be adapted to other signaling molecules undergoing nucleo-cytoplasmic shuttling and to high-throughput applications. This protocol enables simultaneous monitoring of two STAT isoforms using only conventional techniques and equipment and improves upon the assay published in Szanda et al..
微观细胞分割通常需要复杂的成像、染色和计算步骤才能实现可接受的一致性。在此,我们描述了一种用于细胞培养中细胞核和细胞质高保真分割的方案,并将其应用于监测干扰素诱导的信号转导和转录激活因子(STAT)信号传导。我们提供了样本制备、图像采集和分割的指南。该方法与基于神经网络的分割方法表现无异,但只需要传统且经济高效的技术。该方案可适用于其他经历核质穿梭的信号分子以及高通量应用。该方案仅使用传统技术和设备就能同时监测两种STAT异构体,并改进了Szanda等人发表的检测方法。