PMID- 29568449 OWN - NLM STAT- PubMed-not-MEDLINE VI - 8 IP - 12 TI - Single-cell study of the extracellular matrix effect on cell growth by in situ imaging of gene expression. PG - 8019-8024 LA - eng PT - Journal Article PL - England TA - Chem Sci JT - Chemical science JID - 101545951 IS - 2041-6520 (Print) LID - 10.1039/c7sc03880a [doi] FAU - Sun, Yupeng AU - Sun Y AD - Department of Chemistry , Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology , Tsinghua University , Beijing 100084 , China . Email: jhli@mail.tsinghua.edu.cn. FAU - Deng, Ruijie AU - Deng R AD - Department of Chemistry , Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology , Tsinghua University , Beijing 100084 , China . Email: jhli@mail.tsinghua.edu.cn. FAU - Zhang, Kaixiang AU - Zhang K AD - Department of Chemistry , Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology , Tsinghua University , Beijing 100084 , China . Email: jhli@mail.tsinghua.edu.cn. FAU - Ren, Xiaojun AU - Ren X AD - Department of Chemistry , Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology , Tsinghua University , Beijing 100084 , China . Email: jhli@mail.tsinghua.edu.cn. FAU - Zhang, Ling AU - Zhang L AD - Department of Chemistry , Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology , Tsinghua University , Beijing 100084 , China . Email: jhli@mail.tsinghua.edu.cn. FAU - Li, Jinghong AU - Li J AUID- ORCID: 0000-0002-0750-7352 AD - Department of Chemistry , Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology , Tsinghua University , Beijing 100084 , China . Email: jhli@mail.tsinghua.edu.cn. IS - 2041-6520 (Linking) PMC - PMC5855132 LR - 20240314 DP - 2017 Dec 01 DEP - 20171002 AB - Cell behaviors are known to be regulated by the cellular microenvironment. Traditional cell-population based analysis methods need to separate cells from their extracellular matrix (ECM) and cannot resolve the heterogeneity of cell behaviors. Herein, an in situ single-cell analysis method based on rolling circle amplification was exploited to image gene expression in single cells for investigating the effect of ECM stiffness on cell growth. This method enables the simultaneous quantifying of the cell phenotype and gene expression at the single-cell level, which can help in understanding the underlying molecular mechanism of cell growth. It is found that ECM stiffness could affect cell growth via regulating the expression level of the cytoskeleton-assembly associated genes PFN1 and CFL1 and their co-expression pattern. Therefore, this single-cell analysis platform may facilitate us to tap into the study of "single-cell phenotypes" and elucidate the disease association of ECMs.