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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020-07-30
摘要
Non-遺傳 factors can cause individual cells to fluctuate substantially in gene expression levels over time. It remains unclear whether these fluctuations can persist for much longer than the time of one cell division. Current methods for measuring gene expression in single cells mostly rely on single time point measurements, making the duration of gene expression fluctuations or cellular memory difficult to measure. Here, we combined Luria and Delbrack's fluctuation analysis with 族群-based RNA sequencing (MemorySeq) for identifying genes transcriptome-wide whose fluctuations persist for several divisions. MemorySeq revealed multiple gene modules that expressed together in rare cells within otherwise homogeneous clonal 族群s. These rare cell sub族群s were associated with 生物ly distinct behaviors li
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