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A heterogeneous cellular response to ionizing radiation revealed by single cell transcriptome sequencing.

ABSTRACT: Our understanding on transcriptional regulation of tumour cells responding to ionizing radiation (IR) has mostly come from bulk sequencing. However, due to the heterogeneity of tumour, how each individual cell responds to IR differently is unclear. We report here a heterogeneous cellular response to IR by single cell transcriptome sequencing. We utilized the barcoded Smart-seq2 single cell transcriptome sequencing technology in breast cancer cell line MDA-MB-231 both without and with IR treatment. To further understand how ATM, a major hub protein required for an optimal DNA damage response, affected the heterogeneous IR response, we also knocked down ATM gene for single cell transcriptome sequencing. Single cell t-SNE analysis showed four clusters of cells responding to IR in distinctive ways: Cluster 1 changed the least; Cluster 2 responded to IR by upregulating ribosome associated genes, while Cluster 4 upregulated both ribosome and G1/S phase associated genes; Cluster 3 was a new cluster, which appeared only in irradiated cells. In the absence of ATM kinase, cells displayed much less transcriptional changes after IR. And Cluster 4 in wild-type cells, which had the greatest change in response to IR, was not present in the ATM knock-down cells. We also selected three IR-induced genes for functional validation in both MDA-MB-231 and an additional breast cancer cell line to demonstrate their importance in radiation sensitivity. Taken together, our single cell transcriptome analysis has revealed a heterogeneous cellular response to DNA damage induced by IR and identified potential biomarkers of radiation sensitivity.

SUBMITTER: Gao Y

PROVIDER: S-EPMC7868766 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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A heterogeneous cellular response to ionizing radiation revealed by single cell transcriptome sequencing.

Gao Yan Y Duan Qingke Q Wu Ning N Xu Bo B

American journal of cancer research 20210201 2

Our understanding on transcriptional regulation of tumour cells responding to ionizing radiation (IR) has mostly come from bulk sequencing. However, due to the heterogeneity of tumour, how each individual cell responds to IR differently is unclear. We report here a heterogeneous cellular response to IR by single cell transcriptome sequencing. We utilized the barcoded Smart-seq2 single cell transcriptome sequencing technology in breast cancer cell line MDA-MB-231 both without and with IR treatmen ...[more]

PMID: 33575084

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Project description:BK virus (BKV) is a human polyomavirus that is generally harmless but can cause devastating disease in immunosuppressed individuals. BKV infection of renal cells is a common problem for kidney transplant patients undergoing immunosuppressive therapy. In cultured primary human renal proximal tubule epithelial (RPTE) cells, BKV undergoes a productive infection. The BKV-encoded large T antigen (LT) induces cell cycle entry, resulting in the upregulation of numerous genes associated with cell proliferation. Consistently, microarray and transcriptome sequencing (RNA-seq) experiments performed on bulk infected cell populations identified several proliferation-related pathways that are upregulated by BKV. These studies revealed few genes that are downregulated. In this study, we analyzed viral and cellular transcripts in single mock- or BKV-infected cells. We found that the levels of viral mRNAs vary widely among infected cells, resulting in different levels of LT and viral capsid protein expression. Cells expressing the highest levels of viral transcripts account for approximately 20% of the culture and have a gene expression pattern that is distinct from that of cells expressing lower levels of viral mRNAs. Surprisingly, cells expressing low levels of viral mRNA do not progress with time to high expression, suggesting that the two cellular responses are determined prior to or shortly following infection. Finally, comparison of cellular gene expression patterns of cells expressing high levels of viral mRNA with those of mock-infected cells or cells expressing low levels of viral mRNA revealed previously unidentified pathways that are downregulated by BKV. Among these are pathways associated with drug metabolism and detoxification, tumor necrosis factor (TNF) signaling, energy metabolism, and translation.IMPORTANCE The outcome of viral infection is determined by the ability of the virus to redirect cellular systems toward progeny production countered by the ability of the cell to block these viral actions. Thus, an infected culture consists of thousands of cells, each fighting its own individual battle. Bulk measurements, such as PCR or RNA-seq, measure the average of these individual responses to infection. Single-cell transcriptomics provides a window to the one-on-one battle between BKV and each cell. Our studies reveal that only a minority of infected cells are overwhelmed by the virus and produce large amounts of BKV mRNAs and proteins, while the infection appears to be restricted in the remaining cells. Correlation of viral transcript levels with cellular gene expression patterns reveals pathways manipulated by BKV that may play a role in limiting infection.

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A heterogeneous cellular response to ionizing radiation revealed by single cell transcriptome sequencing.

Publications

A heterogeneous cellular response to ionizing radiation revealed by single cell transcriptome sequencing.

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