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| Status |
Public on Dec 19, 2023 |
| Title |
Host-response Transcriptional Biomarkers Accurately Discriminate Bacterial and Viral Infections by Global Pathogens |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Global endemic infections, such as leptospirosis, rickettsial diseases, and dengue infections present diagnostic challenges, posing a dilemma for antibiotic stewardship worldwide. The goal of this project was to identify accurate transcriptional classifiers able to discriminate between bacterial and viral illness of global pathogens.
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| Overall design |
Whole transcriptome RNA sequencing was performed on 294 human whole blood PAXgene RNA tubes from the U.S. and Sri Lanka. A variety of bacterial and viral infections from global pathogens were included. Noninfectious illness was included as a control category.
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| Contributor(s) |
Ko ER, Woods CW, Suchindran S, McClain MT, Henao R, Burke TW, Tillekeratne LG, Reller M, Bodinayake CK |
| Citation(s) |
38110534 |
| |
| Submission date |
Aug 18, 2022 |
| Last update date |
Jan 03, 2024 |
| Contact name |
Emily R. Ko |
| E-mail(s) |
[email protected]
|
| Organization name |
Duke University
|
| Department |
Medicine
|
| Street address |
4103 Graceview Way
|
| City |
Durham |
| State/province |
NC |
| ZIP/Postal code |
27705 |
| Country |
USA |
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| Platforms (2) |
| GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
| GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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| Samples (291)
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| Relations |
| BioProject |
PRJNA870919 |
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