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Lysosomal-Immune Axis Is Associated with COVID 19 Disease Severity: Insights from Patient Single Cell Data
Rahul Pande; Erin Teeple; Weixiao Huang; Katherine W. Klinger; Deepak Rajpal; Dinesh Kumar.
Affiliation
  • Rahul Pande; Translational Sciences, Sanofi, Framingham, MA 01701, USA
  • Erin Teeple; Translational Sciences, Sanofi, Framingham, MA 01701, USA
  • Weixiao Huang; Translational Sciences, Sanofi, Framingham, MA 01701, USA
  • Katherine W. Klinger; Translational Sciences, Sanofi, Framingham, MA 01701, USA
  • Deepak Rajpal; Translational Sciences, Sanofi, Framingham, MA 01701, USA
  • Dinesh Kumar; Translational Sciences, Sanofi, Framingham, MA 01701, USA
Preprint in English | bioRxiv | ID: ppbiorxiv-428394
ABSTRACT
SARS-COV-2 has become a leading cause of illness, hospitalizations, and deaths worldwide yet heterogeneity in disease morbidity remains a conundrum. In this study, we analyzed publicly available single-cell RNA-seq data from 75076 cells sequenced from clinically staged COVID-19 patients using a network approach and identified lysosomal-immune axis as a factor significantly associated with disease severity. Our results suggest modulation of lysosomal-immune pathways may present a novel drug-targeting strategy to attenuate SARS-Cov-2 infections.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Prognostic study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Prognostic study Language: English Year: 2021 Document type: Preprint
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