小柯机器人

瑞士生物信息学研究所Jörg Stelling研究组建立细胞区域指纹以支持高度精确的单细胞跟踪和谱系重建。相关论文于2022年9月22日发表于国际顶尖学术期刊《自然—方法学》杂志上。

他们提出用指纹迅速确定错误事件。指纹距离比较了傅立叶变换的低频中包含的结构信息，以测量两个连续图像中细胞之间的相似性。他们表明，指纹在细胞类型和图像方式上广泛适用，前提是图像具有足够的结构信息。他们的追踪器（TRACX）使用指纹拒绝不太可能的作业，从而增加了在已发布和新生成的长期数据集上的追踪性能。对于酿酒酵母，他们提出了一个以WHI5调节器为中心的单细胞和人群水平的细胞大小控制的综合模型，证明了精确的追踪如何帮助揭示先前未描述的单细胞生物学。

据介绍，细胞生长、遗传及其相关过程的实验研究需要对足够持续时间进行准确的单细胞观察，以重建家谱。然而，细胞追踪（将连续图像上的相同单元格分配到轨道上）通常具有挑战性，从而导致费力的手动验证。

附：英文原文

Title: Cell region fingerprints enable highly precise single-cell tracking and lineage reconstruction

Author: Cuny, Andreas P., Ponti, Aaron, Kndig, Tomas, Rudolf, Fabian, Stelling, Jrg

Issue&Volume: 2022-09-22

Abstract: Experimental studies of cell growth, inheritance and their associated processes by microscopy require accurate single-cell observations of sufficient duration to reconstruct the genealogy. However, cell tracking—assigning identical cells on consecutive images to a track—is often challenging, resulting in laborious manual verification. Here, we propose fingerprints to identify problematic assignments rapidly. A fingerprint distance compares the structural information contained in the low frequencies of a Fourier transform to measure the similarity between cells in two consecutive images. We show that fingerprints are broadly applicable across cell types and image modalities, provided the image has sufficient structural information. Our tracker (TracX) uses fingerprints to reject unlikely assignments, thereby increasing tracking performance on published and newly generated long-term data sets. For Saccharomyces cerevisiae, we propose a comprehensive model for cell size control at the single-cell and population level centered on the Whi5 regulator, demonstrating how precise tracking can help uncover previously undescribed single-cell biology.

DOI: 10.1038/s41592-022-01603-2

Source: https://www.nature.com/articles/s41592-022-01603-2

Nature Methods：《自然—方法学》，创刊于2004年。隶属于施普林格·自然出版集团，最新IF：47.99
官方网址：https://www.nature.com/nmeth/
投稿链接：https://mts-nmeth.nature.com/cgi-bin/main.plex