Suppr超能文献

前瞻性单细胞谱系条形码技术的进展及其在研究中的应用。

Advancements in prospective single-cell lineage barcoding and their applications in research.

作者信息

Zhang Xiaoli, Huang Yirui, Yang Yajing, Wang Qi-En, Li Lang

机构信息

College of Nursing, University of South Florida, Tampa, Florida 33620, USA;

College of Pharmacy, The Ohio State University, Columbus, Ohio 43210, USA.

出版信息

Genome Res. 2024 Dec 23;34(12):2147-2162. doi: 10.1101/gr.278944.124.

Abstract

Single-cell lineage tracing (scLT) has emerged as a powerful tool, providing unparalleled resolution to investigate cellular dynamics, fate determination, and the underlying molecular mechanisms. This review thoroughly examines the latest prospective lineage DNA barcode tracing technologies. It further highlights pivotal studies that leverage single-cell lentiviral integration barcoding technology to unravel the dynamic nature of cell lineages in both developmental biology and cancer research. Additionally, the review navigates through critical considerations for successful experimental design in lineage tracing and addresses challenges inherent in this field, including technical limitations, complexities in data analysis, and the imperative for standardization. It also outlines current gaps in knowledge and suggests future research directions, contributing to the ongoing advancement of scLT studies.

摘要

单细胞谱系追踪(scLT)已成为一种强大的工具,为研究细胞动态、命运决定及潜在分子机制提供了无与伦比的分辨率。本综述全面审视了最新的前瞻性谱系DNA条形码追踪技术。它进一步突出了利用单细胞慢病毒整合条形码技术来揭示发育生物学和癌症研究中细胞谱系动态本质的关键研究。此外,该综述探讨了谱系追踪中成功实验设计的关键考量因素,并应对该领域固有的挑战,包括技术限制、数据分析的复杂性以及标准化的必要性。它还概述了当前的知识空白并提出了未来的研究方向,为scLT研究的不断进步做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2cd/11694748/18aeb79b1f48/2147f01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验