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Dissecting dynamic expression of autophagy-related genes during human fetal digestive tract development via single-cell RNA sequencing.

ABSTRACT: Macroautophagy/autophagy has been demonstrated to play an essential role in embryonic development. However, the role of autophagy during human fetal digestive tract development has not been investigated. Here, by using over 5,000 human embryonic digestive tract cells ranging from 6 weeks to 25 weeks, we explored the dynamic expression of autophagy-related genes at single-cell resolution, and found that the transcriptional activity of autophagy-related genes boosted remarkably and specifically in the early (between 6 and 9 weeks) stages. Interestingly, the small intestine cells at 9 weeks showed the most significant enrichment of autophagy-related genes than any other stages. In summary, our results for the first time revealed that autophagy may play an essential role in the development of the digestive tract, especially for the small intestine, in early human embryos. Abbreviations: GI: gastrointestinal; S-Intes: small intestine; t-SNE: t-distributed stochastic neighbor embedding.

SUBMITTER: Tan P

PROVIDER: S-EPMC6844499 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Dissecting dynamic expression of autophagy-related genes during human fetal digestive tract development via single-cell RNA sequencing.

Tan Puwen P Ren Yue Y Zhang Yuncong Y Lin Yunqing Y Cui Tianyu T Huang Yan Y Zhang Yang Y Ning Lin L Yu Jia J Gao Shuai S Wang Dong D Huang He H

Autophagy 20190830 11

Macroautophagy/autophagy has been demonstrated to play an essential role in embryonic development. However, the role of autophagy during human fetal digestive tract development has not been investigated. Here, by using over 5,000 human embryonic digestive tract cells ranging from 6 weeks to 25 weeks, we explored the dynamic expression of autophagy-related genes at single-cell resolution, and found that the transcriptional activity of autophagy-related genes boosted remarkably and specifically in ...[more]

PMID: 31470757

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Project description:Background: Colorectal cancer (CRC) is the second most common cancer in China. Autophagy plays an important role in the initiation and development of CRC. Here, we assessed the prognostic value and potential functions of autophagy-related genes (ARGs) using integrated analysis using single-cell RNA sequencing (scRNA-seq) data from the Gene Expression Omnibus (GEO) and RNA sequencing (RNA-seq) data from The Cancer Genome Atlas (TCGA). Methods: We analyzed GEO-scRNA-seq data from GEO using various single-cell technologies, including cell clustering, and identification of differentially expressed genes (DEGs) in different cell types. Additionally, we performed gene set variation analysis (GSVA). The differentially expressed ARGs among different cell types and those between CRC and normal tissues were identified using TCGA-RNA-seq data, and the hub ARGs were screened. Finally, a prognostic model based on the hub ARGs was constructed and validated, and patients with CRC in TCGA datasets were divided into high- and low-risk groups based on their risk-score, and immune cells infiltration and drug sensitivity analyses between the two groups were performed. Results: We obtained single-cell expression profiles of 16,270 cells, and clustered them into seven types of cells. GSVA revealed that the DEGs among the seven types of cells were enriched in many signaling pathways associated with cancer development. We screened 55 differentially expressed ARGs, and identified 11 hub ARGs. Our prognostic model revealed that the 11 hub ARGs including CTSB, ITGA6, and S100A8, had a good predictive ability. Moreover, the immune cell infiltrations in CRC tissues were different between the two groups, and the hub ARGs were significantly correlated with the enrichment of immune cell infiltration. The drug sensitivity analysis revealed that the patients in the two risk groups had difference in their response to anti-cancer drugs. Conclusion: We developed a novel prognostic 11-hub ARG risk model, and these hubs may act as potential therapeutic targets for CRC.

Project description:BackgroundOrgan-specific gene expression contains rich information about in vivo biological processes. This kind of information, previously gathered through microarray profiling, has been proven fruitful to the understanding of specific mutants, regulatory events, signaling, and development. With the advent of the next-generation sequencing (NGS) of RNAs, more quantitative and detailed information of gene expressions than previously available can now be collected for each organ or organ developmental stages. The combination of an object-oriented experimental design and an efficient treatment of the high volume information generated through a NGS platform may offer a powerful tool for inferring previously intractable developmental processes.ResultsWe collected transcriptomic data over a Solexa/Illumina platform on samples of Ipomoea leaf, sepal, and petals (at three developmental stages), and presented a method for analyzing transcriptomic variations within and between organs. We demonstrated that in vivo signals of transcriptomes can be retrieved de novo through the NGS techniques, proper data handling, bioinformatic tools, and the current understanding of molecular networks. We found that numbers of transcribed genes from both nuclear and chloroplast genomes decreased by the same order of leaf → sepal →petal. Petal resembled leaf in cell division patterns and abundance level of commonly expressed organelle genes. Its chloroplast transcripts constituted a subset of those in leaf. Moreover, reconstructions of multiple metabolic networks for each organ enabled inferences of substance flow, providing transcript evidence for the path of sucrose in leaf to anthocyanin synthesis in petal.ConclusionOur results attest that developmental transcriptomes are highly informative for exploring connections between morphological traits and the associated molecular networks. Significant hypotheses have been developed, including that the petal is a derived organ of leaf and that its color can be modified by fluctuations of substance flow within the associated metabolic networks among organs.

Dataset Information

Dissecting dynamic expression of autophagy-related genes during human fetal digestive tract development via single-cell RNA sequencing.

Publications

Dissecting dynamic expression of autophagy-related genes during human fetal digestive tract development via single-cell RNA sequencing.

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