Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2021 Aug 4;8(9):208-222.
doi: 10.15698/mic2021.09.759. eCollection 2021 Sep 6.

Understanding the pathogenesis of infectious diseases by single-cell RNA sequencing

Affiliations
Review

Understanding the pathogenesis of infectious diseases by single-cell RNA sequencing

Wanqiu Huang et al. Microb Cell. .

Abstract

Infections are highly orchestrated and dynamic processes, which involve both pathogen and host. Transcriptional profiling at the single-cell level enables the analysis of cell diversity, heterogeneity of the immune response, and detailed molecular mechanisms underlying infectious diseases caused by bacteria, viruses, fungi, and parasites. Herein, we highlight recent remarkable advances in single-cell RNA sequencing (scRNA-seq) technologies and their applications in the investigation of host-pathogen interactions, current challenges and potential prospects for disease treatment are discussed as well. We propose that with the aid of scRNA-seq, the mechanism of infectious diseases will be further revealed thus inspiring the development of novel interventions and therapies.

Keywords: bacteria; fungi; immune response; infectious diseases; parasites; single-cell RNA sequencing; viruses.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest: The authors have declared no conflict of interest.

Figures

Figure 1
Figure 1. FIGURE 1: Risk factors, vulnerable organs and cell types involved in SARS-Cov-2 infection.
Single-cell RNA-seq revealed high expression of ACE2 and TMPRSS2 in multiple organs and cell types, which are more vulnerable to SARS-Cov-2 infection. Several factors play important roles in infection and disease process, such as age, smoking and gender.
Figure 2
Figure 2. FIGURE 2: Using single-cell RNA-seq to understand host-pathogen interactions.
Pathogens like bacteria, viruses, fungi and parasites can infect hosts and cause various infectious diseases (A). Using scRNA-seq methods enable the study of host and pathogen interactions at a high-resolution level (B-C). The single cell transcriptomes reveal the differentially gene expression map during infection (D), demonstrate the cell heterogeneity and immune cell development (E), uncover the mechanism behind the inflammatory and anti-microbial response (F). The application of scRNA-seq highly contributes to infection research.

References

    1. Han X, Zhou Z, Fei L, Sun H, Wang R, Chen Y, Chen H, Wang J, Tang H, Ge W, Zhou Y, Ye F, Jiang M, Wu J, Xiao Y, Jia X, Zhang T, Ma X, Zhang Q, Bai X, Lai S, Yu C, Zhu L, Lin R, Gao Y, Wang M, Wu Y, Zhang J, Zhan R, Zhu S, et al. Construction of a human cell landscape at single-cell level. Nature. 2020;581(7808):303–309. doi: 10.1038/s41586-020-2157-4. - DOI - PubMed
    1. Stubbington MJT, Rozenblatt-Rosen O, Regev A, Teichmann SA. Single-cell transcriptomics to explore the immune system in health and disease. Science. 2017;358(6359):58–63. doi: 10.1126/science.aan6828.. - DOI - PMC - PubMed
    1. Su T, Stanley G, Sinha R, D'Amato G, Das S, Rhee S, Chang AH, Poduri A, Raftrey B, Dinh TT, Roper WA, Li G, Quinn KE, Caron KM, Wu S, Miquerol L, Butcher EC, Weissman I, Quake S, Red-Horse K. Single-cell analysis of early progenitor cells that build coronary arteries. Nature. 2018;559(7714):356–362. doi: 10.1038/s41586-018-0288-7. - DOI - PMC - PubMed
    1. Jackson HW, Fischer JR, Zanotelli VRT, Ali HR, Mechera R, Soysal SD, Moch H, Muenst S, Varga Z, Weber WP, Bodenmiller B. The single-cell pathology landscape of breast cancer. Nature. 2020;578(7796):615–620. doi: 10.1038/s41586-019-1876-x. - DOI - PubMed
    1. Tang F, Barbacioru C, Wang Y, Nordman E, Lee C, Xu N, Wang X, Bodeau J, Tuch BB, Siddiqui A, Lao K, Surani MA. mRNA-Seq whole-transcriptome analysis of a single cell. Nat Methods. 2009;6(5):377–382. doi: 10.1038/nmeth.1315. - DOI - PubMed

LinkOut - more resources