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DNA methylome analysis of leader cells and follower cells derived from the H1299 NSCLC cell line

ABSTRACT: Tumor heterogeneity drives disease progression, treatment resistance, and patient relapse, yet remains largely under-explored in invasion and metastasis. Here, we investigated heterogeneity within collective cancer invasion by integrating DNA methylation and gene expression analysis in rare purified lung cancer leader and follower cells. Our results showed global DNA methylation rewiring in leader cells and revealed the filopodial motor MYO10 as a critical gene at the intersection of epigenetic heterogeneity and 3D collective invasion. We further identified JAG1 signaling as a novel upstream activator of MYO10 expression in leader cells. Using live cell imaging, we discovered that MYO10 drives filopodial persistence necessary for micropatterning extracellular fibronectin into linear tracks at the edge of 3D collective invasion exclusively in leaders. Our data fit a model where epigenetic heterogeneity and JAG1/Notch signaling jointly drive collective cancer invasion through MYO10 upregulation in epigenetically permissive leader cells, which induces filopodia dynamics necessary for linearized fibronectin micropatterning.

ORGANISM(S): Homo sapiens

PROVIDER: GSE147153 | GEO | 2020/07/31

REPOSITORIES: GEO

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Project description:To probe the phenotypic heterogeneity found in cell populations, we developed an image-guided genomics technique termed spatiotemporal genomic and cellular analysis (SaGA) that allows for precise selection and amplification of living and rare cells. SaGA was used on collectively invading 3-D cancer cell packs to create purified leader and follower cell lines. The leader cell cultures are phenotypically stable and highly invasive in contrast to follower cultures, which show phenotypic plasticity over time and minimally invade in a sheet-like pattern. Genomic and molecular interrogation reveals an atypical VEGF-based vasculogenesis signaling that facilitates recruitment of follower cells but not for leader cell motility itself, which instead utilizes focal adhesion kinase-fibronectin signaling. While leader cells provide an escape mechanism for followers, follower cells in turn provide leaders with increased growth and survival. These data support a symbiotic model of collective invasion where phenotypically distinct cell types cooperate to promote their escape. A single tumor can harbor distinct genetic and epigenetic cellular sub-populations that drive tumor initiation and progression. This intratumor heterogeneity is proposed to be one of the major confounding factors of treatment causing relapse and poor clinical outcome1. Genomic instability and epigenetic modifications generate intratumor heterogeneity creating distinct genetic and epigenetic sub-populations or clones. A branched tumor evolutionary architecture can emerge containing the plasticity to progress under harsh environmental conditions and thwart therapeutic attempts to eradicate the tumor. It can be argued that until we discover how intratumor heterogeneity can be circumvented, precision oncology initiatives may fall short of expectations. Single cell sequencing methodologies have improved the genomic, transcriptomic, and epigenomic resolution of clonal tumor populations; however, the phenotypic implications of these alterations remain unclear. This is partly due to experimental challenges and is compounded by phenotypic plasticity that allows cancer cells to adapt to local changes in the microenvironment, without changes to the genome itself (e.g., epithelial to mesenchymal transition). Despite repeated observations that a small number of rare cancer cells or clones, hidden within a larger tumor population can drive tumor growth and spread, studies linking single cell or clonal phenotypes with genomic data have been limited. To probe the biology of a rare and phenotypically heterogeneous cell populations, single cells or subclones need to be isolated based upon user-defined criteria, instead of a random isolation approach; therefore, we developed a technique to image live cells within a biologically relevant 3-D environment, select a cell or cellular group based upon user-defined criteria, extract the cell(s), and subject the cell(s) to genomic and molecular analyses. In this way, we can purify, amplify, and systematically dissect the biologies of rare cells. This new technique, termed spatiotemporal genomic and cellular analysis (SaGA), was used to dissect the phenotypic heterogeneity of collective cancer cell invasion in a 3-D lung cancer model. These data incorporate the first SaGA-derived leader and follower cell lines to reveal that leader cells utilize atypical vasculogenesis signaling machinery by secreting VEGF to attract follower cells in invasive cell chains. In contrast, follower cells support leader cell growth by increasing their mitotic efficiency. This relationship argues for a cellular symbiosis within the collective invasion pack. Furthermore, these data provide proof of concept that SaGA is a powerful technology for dissecting phenotypic heterogeneity within cancer cell populations.

Project description:Background: JAG-1 is a ligand of Notch signaling and can regulate cell differentiation and proliferation in cancers. Recent studies indicated that JAG1 is a gene associated with cancer progression. Therefore, we investigated the role of JAG1 in lung cancer progression. Methods: The expression of JAG1 was manipulated by overexpression or RNA silencing in several human lung cell lines. The effect of JAG1 on tumorigenesis and invasion was assessed by the cell anchorage-independent growth, cell proliferation, cell migration and invasion assays in vitro as well as metastasis in vivo. The potential downstream genes of JAG1 were identified by oligonucleotide microarrays and quantitative reverse transcriptionÂ¡Vpolymerase chain reaction (RT-PCR). We further measured JAG1 expression in lung cancer specimens by RT-PCR. Correlation between JAG1 expression and overall survival of lung cancer patients was determined by using the log-rank test and multivariable Cox proportional hazards regression analysis. All statistical tests were two-sided. Results: JAG1 enhanced anchorage-independent growth, cell migration, invasion in the lower invasive cells, CL1-0. JAG1 also increased the capability of migration and invasion in the other two lung cancer cell lines (A549 and NCI-H226). The silencing of JAG1 inhibited migration and invasion activities of the higher invasive cells, CL1-5, by siRNA technology. The invasion-promoting activity of JAG1 was also demonstrated in vivo by using a mouse metastasis model. By microarray analysis, we found that the expression of heat shock 70kDa protein 2 (HSPA2) was activated by JAG1 overexpression and eliminated by JAG1 silencing. Moreover, lung cancer patients with high JAG1 expressing tumors had shorter overall survival than those with low-expressing tumors. Conclusion: JAG1 might be an oncogene which promotes colonogenesis and metastasis, and high JAG1 expression is associated with shorten survival in lung cancer. In this investigation, we used a lung cancer invasion cell model to identify the genes involved in cancer progression. JAG1 is a potential oncogene whose expression is correlated to the survival of patients with breast, prostate and liver cancers. However, the role of JAG1 in lung caner progression has not been reported, particularly in metastasis. Here, JAG1 was ectopically expressed in lower invasive lung cancer cell line its impact on colonogenesis, migration and invasiveness was assessed. The underlying mechanism was explored by JAG1-expressed transfectants and microarrays and the clinical relevance was evaluated by quantitative RT-PCR.

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DNA methylome analysis of leader cells and follower cells derived from the H1299 NSCLC cell line

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