2020/10/07 by Huibao Feng, Chong Zhang, Feng, Huibao +1
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #Gene Regulatory Network Analysis #Gene expression and cancer classification #Quantitative Methods (q-bio.QM) #Single-cell and spatial transcriptomics
paper · pdf · doi:10.48550/arxiv.2010.03317
openalex publication_date 2020/10/07 · openalex created_date 2020/10/15 · openalex updated_date 2026/07/28
Phenotypic heterogeneity is a most fascinating property of a population of cells, which shows the differences among individuals even with the same genetic background and extracellular environmental conditions. However, the lack of high-throughput analysis of phenotypic diversity has limited our research progress. To deal with it, we constructed a novel parameter estimation method in FACS-seq, a commonly used experimental framework, to achieve simultaneous characterization of thousands of variants in a library. We further demonstrated the model's ability in estimating the expression properties of each variant, which we believe can help to decipher the mechanisms of phenotypic heterogeneity.