Predicting Lyme Disease From Patients' Peripheral Blood Mononuclear Cells Profiled With RNA-Sequencing

Predicting Lyme Disease From Patients' Peripheral Blood Mononuclear Cells Profiled With RNA-Sequencing

Although widely prevalent, Lyme disease is still under-diagnosed and misunderstood. Here we followed 73 acute Lyme disease patients and uninfected controls over a period of a year. At each visit, RNA-sequencing was applied to profile patients' peripheral blood mononuclear cells in addition to e...

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Bibliographic Details
Main Authors: Daniel J. B. Clarke, Alison W. Rebman, Allison Bailey, Megan L. Wojciechowicz, Sherry L. Jenkins, John E. Evangelista, Matteo Danieletto, Jinshui Fan, Mark W. Eshoo, Michael R. Mosel, William Robinson, Nitya Ramadoss, Jason Bobe, Mark J. Soloski, John N. Aucott, Avi Ma'ayan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Immunology
Subjects:
Lyme disease
PTLDS
PBMCs
machine learning
data mining
RNA-seq
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2021.636289/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2021.636289/full

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