Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Single-cell sequencing: accurate disease detection

作者:Xiaoqin Wang, Niannian Li, Wei Wang, Bing Liu · 发表于:Clinical & Translational Oncology · 年份:2025 · DOI:10.1007/s12094-025-04007-8 · 被引用次数:4 · 研究领域:Single-cell and spatial transcriptomics、Cancer Genomics and Diagnostics、Extracellular vesicles in disease

Early and accurate detection of diseases is of great significance for enhancing treatment outcomes and improving patient prognosis. The emergence of single-cell sequencing technology has brought new opportunities for this. This technology breaks through the limitations of traditional sequencing and can analyze the genome, transcriptome, etc. at the single-cell level, clearly demonstrating the heterogeneity between cells. In neurological diseases, single-cell sequencing can reveal the changes in gene expression of nerve cells in the early stage of the disease, facilitating early diagnosis and disease monitoring. Although single-cell sequencing has broad prospects in disease detection, it faces challenges such as complex data processing and high detection costs. With the continuous advancement of technology, single-cell sequencing is expected to become a key means for accurate disease detection, bringing about a revolution in clinical diagnosis.