The Edison Family Center for Genome Sciences and Systems Biology, School of Medicine, Washington University in St. Louis, Saint Louis, MO, 63110, USA.
Department of Genetics, School of Medicine, Washington University in St. Louis, Saint Louis, MO, 63110, USA.
Genome Biol. 2024 May 24;25(1):137. doi: 10.1186/s13059-024-03277-9.
Individual cells from isogenic populations often display large cell-to-cell differences in gene expression. This "noise" in expression derives from several sources, including the genomic and cellular environment in which a gene resides. Large-scale maps of genomic environments have revealed the effects of epigenetic modifications and transcription factor occupancy on mean expression levels, but leveraging such maps to explain expression noise will require new methods to assay how expression noise changes at locations across the genome.
To address this gap, we present Single-cell Analysis of Reporter Gene Expression Noise and Transcriptome (SARGENT), a method that simultaneously measures the noisiness of reporter genes integrated throughout the genome and the global mRNA profiles of individual reporter-gene-containing cells. Using SARGENT, we perform the first comprehensive genome-wide survey of how genomic locations impact gene expression noise. We find that the mean and noise of expression correlate with different histone modifications. We quantify the intrinsic and extrinsic components of reporter gene noise and, using the associated mRNA profiles, assign the extrinsic component to differences between the CD24+ "stem-like" substate and the more "differentiated" substate. SARGENT also reveals the effects of transgene integrations on endogenous gene expression, which will help guide the search for "safe-harbor" loci.
Taken together, we show that SARGENT is a powerful tool to measure both the mean and noise of gene expression at locations across the genome and that the data generatd by SARGENT reveals important insights into the regulation of gene expression noise genome-wide.
同基因群体中的单个细胞在基因表达上常常表现出很大的细胞间差异。这种表达的“噪声”来源于多个来源,包括基因所在的基因组和细胞环境。基因组环境的大规模图谱揭示了表观遗传修饰和转录因子占据对平均表达水平的影响,但利用这些图谱来解释表达噪声,需要新的方法来检测基因组中各个位置的表达噪声如何变化。
为了解决这一差距,我们提出了单细胞报告基因表达噪声和转录组分析(SARGENT)方法,该方法可以同时测量整个基因组中整合的报告基因的噪声和单个报告基因细胞的全局 mRNA 谱。使用 SARGENT,我们首次全面调查了基因组位置如何影响基因表达噪声。我们发现,表达的均值和噪声与不同的组蛋白修饰相关。我们量化了报告基因噪声的内在和外在成分,并使用相关的 mRNA 谱将外在成分分配给 CD24+“干细胞样”亚群和更“分化”亚群之间的差异。SARGENT 还揭示了转基因整合对内源性基因表达的影响,这将有助于指导寻找“安全港”基因座。
总之,我们表明 SARGENT 是一种强大的工具,可以测量基因组中各个位置的基因表达均值和噪声,并且 SARGENT 生成的数据揭示了对全基因组基因表达噪声调控的重要见解。