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Tobacco (Nicotiana tabacum) is cultivated and consumed worldwide. It requires great amounts of nitrogen (N) to achieve the best yield and quality. With a view to sustainable and environmentally friendly agriculture, developing new genotypes with high productivity under low N conditions is an important approach. It is unclear how genes in tobacco are expressed at the cellular level and the precise mechanisms by which cells respond to environmental stress, especially in the case of low N. Here, we characterized the transcriptomes in tobacco leaves grown in normal and low‐N conditions by performing scRNA‐seq. We identified 10 cell types with 17 transcriptionally distinct cell clusters with the assistance of marker genes and constructed the first single‐cell atlas of tobacco leaves. Distinct gene expression patterns of cell clusters were observed under low‐N conditions, and the mesophyll cells were the most important responsive cell type and displayed heterogene responses among its three subtypes. Pseudo‐time trajectory analysis revealed low‐N stress decelerates the differentiation towards mesophyll cells. In combination with scRNA‐seq, WGCNA, and bulk RNA‐seq results, we found that genes involved in porphyrin metabolism, nitrogen metabolism, carbon fixation, photosynthesis, and photosynthesis‐antenna pathway play an essential role in response to low N. Moreover, we identified COL16, GATA24, MYB73, and GLK1 as key TFs in the regulation of N‐responsive genes. Collectively, our findings are the first observation of the cellular and molecular responses of tobacco leaves under low N stress and lay the cornerstone for future tobacco scRNA‐seq investigations. [ABSTRACT FROM AUTHOR]

Pre‐existing drug resistance and tumorigenicity of cancer cells are highly correlated with therapeutic failure and tumor growth. However, current cancer models are limited in their application to the study of intratumor functional heterogeneity in personalized oncology. Here, an innovative two‐dimensional (2D) and three‐dimensional (3D) model for patient‐derived cancer cells (PDCCs) and air–liquid interface (ALI) organotypic culture is established from colorectal cancer (CRC). The PDCCs recapitulate the genomic landscape of their parental tumors with high efficiency, high proliferation rate, and long‐term stability, while corresponding ALI organotypic cultures retain histological architecture of their original tumors. Interestingly, both 2D and 3D models maintain the transcriptomic profile of the corresponding primary tumors and display the same trend in response to 5‐Fluoruracil, regardless of their difference in gene expression profiles. Furthermore, single‐cell‐derived clones() are efficiently established and pre‐existing drug‐resistant clones and highly tumorigenic clones within individual CRC tumors are identified. It is found that tumorigenic cancer cells do not necessarily possess the stem cells characteristics in gene expression. This study provides valuable platform and resource for exploring the molecular mechanisms underlying the pre‐existing drug resistance and tumorigenicity in cancer cells, as well as for developing therapeutic targets specifically for pre‐existing drug‐resistant or highly tumorigenic clones. [ABSTRACT FROM AUTHOR]

Pre‐existing drug resistance and tumorigenicity of cancer cells are highly correlated with therapeutic failure and tumor growth. However, current cancer models are limited in their application to the study of intratumor functional heterogeneity in personalized oncology. Here, an innovative two‐dimensional (2D) and three‐dimensional (3D) model for patient‐derived cancer cells (PDCCs) and air–liquid interface (ALI) organotypic culture is established from colorectal cancer (CRC). The PDCCs recapitulate the genomic landscape of their parental tumors with high efficiency, high proliferation rate, and long‐term stability, while corresponding ALI organotypic cultures retain histological architecture of their original tumors. Interestingly, both 2D and 3D models maintain the transcriptomic profile of the corresponding primary tumors and display the same trend in response to 5‐Fluoruracil, regardless of their difference in gene expression profiles. Furthermore, single‐cell‐derived clones() are efficiently established and pre‐existing drug‐resistant clones and highly tumorigenic clones within individual CRC tumors are identified. It is found that tumorigenic cancer cells do not necessarily possess the stem cells characteristics in gene expression. This study provides valuable platform and resource for exploring the molecular mechanisms underlying the pre‐existing drug resistance and tumorigenicity in cancer cells, as well as for developing therapeutic targets specifically for pre‐existing drug‐resistant or highly tumorigenic clones. [ABSTRACT FROM AUTHOR]