Viral Induced Genetics Revealed by Multi-Dimensional Precision Medicine Transcriptional Workflow
| Autor: | Mara Leimanis, Mary Eisenhower, Angel Hernandez, André S. Bachmann, Ruchir Gupta, Todd A. Lydic, Brian Boville, Olivia Sirpilla, Derek Nedveck, Wenjing Pan, Laurie H. Seaver, Bin Chen, Rama Shankar, Marc Wegener, ChiuYing Cynthia Kuk, Miranda Byrne-Steele, Jason Van Veen, Nicholas L. Hartog, Joshua Mills, Varinder Singh, Joshua S. Sisco, D. Casey Smith, Marie Adams, Casey Madura, Jian Han, Dominic Sanfilippo, Brittany Brown, Mollye Depinet, Jeremy W. Prokop, Caleb Bupp, Marcus P. Haw, Surender Rajasekaran, Chi Braunreiter, Katie L. Uhl, Mary Rhodes |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Genetics
0303 health sciences business.industry Disease Precision medicine Intensive care unit 3. Good health law.invention Transcriptome 03 medical and health sciences 0302 clinical medicine Workflow law Multi dimensional Medicine 030212 general & internal medicine Personalized medicine Translational science business 030304 developmental biology |
| DOI: | 10.1101/2020.04.01.20050054 |
| Popis: | Precision medicine requires the translation of basic biological understanding to medical insights, mainly applied to characterization of each unique patient. In many clinical settings, this requires tools that can be broadly used to identify pathology and risks. Patients often present to the intensive care unit with broad phenotypes, including multiple organ dysfunction syndrome (MODS) resulting from infection, trauma, or other disease processes. Etiology and outcomes are unique to individuals, making it difficult to cohort patients with MODS, but presenting a prime target for testing/developing tools for precision medicine. Using multi-time point whole blood (cellular/acellular) total transcriptomics in 27 patients, we highlight the promise of simultaneously mapping viral/bacterial load, cell composition, tissue damage biomarkers, balance between syndromic biology vs. environmental response, and unique biological insights in each patient using a single platform measurement. Integration of a transcriptome workflow yielded unexpected insights into the complex interplay between host genetics and viral/bacterial specific mechanisms, highlighted by a unique case of virally induced genetics (VIG) within one of these 27 patients. The power of RNAseq to study unique patient biology while investigating environmental contributions can be a critical tool moving forward for translational sciences applied to precision medicine.One Sentence SummaryRNAseq shows the potential of a multidimensional workflow to define molecular signatures for precision/individualized medicine within the pediatric intensive care unit, identifying mechanisms such as viral-induced dominant genetics and infection signatures. |
| Databáze: | OpenAIRE |
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