| Autor: |
Zijun Zhang, Natalie Sauerwald, Antonio Cappuccio, Irene Ramos, Venugopalan D. Nair, German Nudelman, Elena Zaslavsky, Yongchao Ge, Angelo Gaitas, Hui Ren, Joel Brockman, Jennifer Geis, Naveen Ramalingam, David King, Micah T. McClain, Christopher W. Woods, Ricardo Henao, Thomas W. Burke, Ephraim L. Tsalik, Carl W. Goforth, Rhonda A. Lizewski, Stephen E. Lizewski, Dawn L. Weir, Andrew G. Letizia, Stuart C. Sealfon, Olga G. Troyanskaya |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Cell Reports: Methods, Vol 3, Iss 2, Pp 100395- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2667-2375 |
| DOI: |
10.1016/j.crmeth.2023.100395 |
| Popis: |
Summary: Assays detecting blood transcriptome changes are studied for infectious disease diagnosis. Blood-based RNA alternative splicing (AS) events, which have not been well characterized in pathogen infection, have potential normalization and assay platform stability advantages over gene expression for diagnosis. Here, we present a computational framework for developing AS diagnostic biomarkers. Leveraging a large prospective cohort of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and whole-blood RNA sequencing (RNA-seq) data, we identify a major functional AS program switch upon viral infection. Using an independent cohort, we demonstrate the improved accuracy of AS biomarkers for SARS-CoV-2 diagnosis compared with six reported transcriptome signatures. We then optimize a subset of AS-based biomarkers to develop microfluidic PCR diagnostic assays. This assay achieves nearly perfect test accuracy (61/62 = 98.4%) using a naive principal component classifier, significantly more accurate than a gene expression PCR assay in the same cohort. Therefore, our RNA splicing computational framework enables a promising avenue for host-response diagnosis of infection. Motivation: Host-based response assays (HRAs) can often diagnose infectious disease earlier and more precisely than pathogen-based tests. However, the role of RNA alternative splicing (AS) in HRAs remains unexplored, as existing HRAs are restricted to gene expression signatures. We report a computational framework for the identification, optimization, and evaluation of blood AS-based diagnostic assay development for infectious disease. Using SARS-CoV-2 infection as a case study, we demonstrate the improved accuracy of AS biomarkers for COVID-19 diagnosis when compared against six reported transcriptome signatures and when implemented as a microfluidic PCR diagnostic assay. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
