Jannik Gierlich

TL;DR: This article performed RNA-seq of whole blood cell transcriptomes and granulocyte preparations from mild and severe COVID-19 patients and analyzed the data using a combination of conventional and data-driven co-expression analysis.

TL;DR: Comparison of COVID-19 blood transcriptomes with those of a collection of over 2,600 samples derived from 11 different viral infections, inflammatory diseases and independent control samples revealed highly specific transcriptome signatures for CO VID-19, which predicted patient subgroup-specific drug candidates targeting the dysregulated systemic immune response of the host.

TL;DR: In this article , the integration of small RNAs from plasma and CSF can be utilized to distinguish RRMS from SPMS and neurological disease controls, suggesting that the latent variable is not prone to inflammatory signals alone, but could be MS-specific.