Kumasaka, Natsuhiko;
Rostom, Raghd;
Huang, Ni;
Polanski, Krzysztof;
Meyer, Kerstin B;
Patel, Sharad;
Boyd, Rachel;
... Teichmann, Sarah A; + view all
(2023)
Mapping interindividual dynamics of innate immune response at single-cell resolution.
Nature Genetics
, 55
(6)
pp. 1066-1075.
10.1038/s41588-023-01421-y.
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Abstract
Common genetic variants across individuals modulate the cellular response to pathogens and are implicated in diverse immune pathologies, yet how they dynamically alter the response upon infection is not well understood. Here, we triggered antiviral responses in human fibroblasts from 68 healthy donors, and profiled tens of thousands of cells using single-cell RNA-sequencing. We developed GASPACHO (GAuSsian Processes for Association mapping leveraging Cell HeterOgeneity), a statistical approach designed to identify nonlinear dynamic genetic effects across transcriptional trajectories of cells. This approach identified 1,275 expression quantitative trait loci (local false discovery rate 10%) that manifested during the responses, many of which were colocalized with susceptibility loci identified by genome-wide association studies of infectious and autoimmune diseases, including the OAS1 splicing quantitative trait locus in a COVID-19 susceptibility locus. In summary, our analytical approach provides a unique framework for delineation of the genetic variants that shape a wide spectrum of transcriptional responses at single-cell resolution.
Type: | Article |
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Title: | Mapping interindividual dynamics of innate immune response at single-cell resolution |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1038/s41588-023-01421-y |
Publisher version: | https://doi.org/10.1038/s41588-023-01421-y |
Language: | English |
Additional information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Autoimmune diseases, Infectious diseases, RNA sequencing, Software, Transcriptomics |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Respiratory Medicine |
URI: | https://discovery.ucl.ac.uk/id/eprint/10172004 |
1. | United States | 5 |
2. | France | 2 |
3. | China | 2 |
4. | United Kingdom | 1 |
5. | Russian Federation | 1 |
6. | Germany | 1 |
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