Multi-omic profiling of pathogen-stimulated primary immune cells

Author:

Salz ReneeORCID,Vorsteveld Emil E.ORCID,van der Made Caspar I.ORCID,Kersten SimoneORCID,Stemerdink MerelORCID,Riepe Tabea V.,Hsieh Tsung-hanORCID,Mhlanga MusaORCID,Netea Mihai G.ORCID,Volders Pieter-JanORCID,Hoischen AlexanderORCID,’t Hoen Peter A.C.ORCID

Abstract

AbstractObjectivesTo perform long-read transcriptome and proteome profiling of pathogen-stimulated peripheral blood mononuclear cells (PBMCs) from healthy donors. We aim to discover new transcripts and protein isoforms expressed during immune responses to diverse pathogens.MethodsPBMCs were exposed to four microbial stimuli for 24 hours: the TLR4 ligand lipopolysaccharide (LPS), the TLR3 ligand Poly(I:C), heat-inactivatedStaphylococcus aureus, Candida albicans, and RPMI medium as negative controls. Long-read sequencing (PacBio) of one donor and secretome proteomics and short-read sequencing of five donors were performed. IsoQuant was used for transcriptome construction, Metamorpheus/FlashLFQ for proteome analysis, and Illumina short-read 3’-end mRNA sequencing for transcript quantification.ResultsLong-read transcriptome profiling reveals the expression of novel sequences and isoform switching induced upon pathogen stimulation, including transcripts that are difficult to detect using traditional short-read sequencing. We observe widespread loss of intron retention as a common result of all pathogen stimulations. We highlight novel transcripts ofNFKB1 and CASP1that may indicate novel immunological mechanisms. In general, RNA expression differences did not result in differences in the amounts of secreted proteins.Interindividual differences in the proteome were larger than the differences between stimulated and unstimulated PBMCs. Clustering analysis of secreted proteins revealed a correlation between chemokine (receptor) expression on the RNA and protein levels inC. albicans- and Poly(I:C)-stimulated PBMCs.ConclusionIsoform aware long-read sequencing of pathogen-stimulated immune cells highlights the potential of these methods to identify novel transcripts, revealing a more complex transcriptome landscape than previously appreciated.

Publisher

Cold Spring Harbor Laboratory

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