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Abstract
Gene expression variability in mammalian systems plays an important role in physiological and pathophysiological conditions. This variability can come from differential regulation related to cell state (extrinsic) and allele‐specific transcriptional bursting (intrinsic). Yet, the relative contribution of these two distinct sources is unknown. Here, we exploit the qualitative difference in the patterns of covariance between these two sources to quantify their relative contributions to expression variance in mammalian cells. Using multiplexed error robust
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1 Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA; Program in Bioinformatics and Systems Biology, University of California, San Diego, San Diego, CA, USA
2 Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA; Program in Bioinformatics and Systems Biology, University of California, San Diego, San Diego, CA, USA; Department of Integrative Biology and Physiology, Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, USA