tetano
Editor, Senior Moderator
Sci Rep
. 2025 Oct 30;15(1):37986.
doi: 10.1038/s41598-025-21969-5. Poly(A) tail dynamics, non-adenine incorporation and alternative polyadenylation shape the host transcriptome in COVID-19 pathogenesis
Mateusz A Maździarz[SUP] 1 [/SUP], Katarzyna Krawczyk[SUP] 1 [/SUP], Ewa Lepiarczyk[SUP] 2 [/SUP], Łukasz Paukszto[SUP] 1 [/SUP], Karol G Makowczenko[SUP] 3 [/SUP], Beata Moczulska[SUP] 4 [/SUP], Piotr Iwanowicz[SUP] 5 [/SUP], Piotr Kocbach[SUP] 6 [/SUP], Krzysztof Nosek[SUP] 7 [/SUP], Jakub Sawicki[SUP] 1 [/SUP], Leszek Gromadziński[SUP] 4 [/SUP], Marta Majewska[SUP] 8 [/SUP]
Affiliations
The COVID-19 pandemic has had a profound global impact since its emergence in late 2019. Characterized by a wide spectrum of clinical manifestations, COVID-19 has necessitated extensive research into the host-pathogen interactions that drive disease progression. Understanding the molecular mechanisms underlying the host response to SARS-CoV-2 infection is crucial for the development of effective therapeutic interventions and preventative strategies. This study employed a multi-omic approach that combined direct RNA sequencing (DRS) and Illumina cDNA sequencing to investigate whole blood transcriptomic profiles in COVID-19 patients. By leveraging the unique capabilities of Nanopore DRS, which provides long-read sequencing data, we were able to capture not only gene expression levels but also crucial poly(A) tail length fluctuations and non-adenine residue (non-A) modifications. This comprehensive analysis allowed us to identify differentially expressed genes and explore the impact of these poly(A) modifications on function within the context of COVID-19. Findings reveal significant alterations in gene expression patterns, poly(A) tail lengths and non-A modifications in COVID-19 patients compared to healthy controls. Results provide valuable insights into the complex interplay between viral infection, host immune response, and RNA processing, contributing to a deeper understanding of COVID-19 pathogenesis.
Keywords: Blood; COVID-19; Non-A; Poly(A); SARS-CoV-2.
. 2025 Oct 30;15(1):37986.
doi: 10.1038/s41598-025-21969-5. Poly(A) tail dynamics, non-adenine incorporation and alternative polyadenylation shape the host transcriptome in COVID-19 pathogenesis
Mateusz A Maździarz[SUP] 1 [/SUP], Katarzyna Krawczyk[SUP] 1 [/SUP], Ewa Lepiarczyk[SUP] 2 [/SUP], Łukasz Paukszto[SUP] 1 [/SUP], Karol G Makowczenko[SUP] 3 [/SUP], Beata Moczulska[SUP] 4 [/SUP], Piotr Iwanowicz[SUP] 5 [/SUP], Piotr Kocbach[SUP] 6 [/SUP], Krzysztof Nosek[SUP] 7 [/SUP], Jakub Sawicki[SUP] 1 [/SUP], Leszek Gromadziński[SUP] 4 [/SUP], Marta Majewska[SUP] 8 [/SUP]
Affiliations
- PMID: 41168347
- PMCID: PMC12575734
- DOI: 10.1038/s41598-025-21969-5
The COVID-19 pandemic has had a profound global impact since its emergence in late 2019. Characterized by a wide spectrum of clinical manifestations, COVID-19 has necessitated extensive research into the host-pathogen interactions that drive disease progression. Understanding the molecular mechanisms underlying the host response to SARS-CoV-2 infection is crucial for the development of effective therapeutic interventions and preventative strategies. This study employed a multi-omic approach that combined direct RNA sequencing (DRS) and Illumina cDNA sequencing to investigate whole blood transcriptomic profiles in COVID-19 patients. By leveraging the unique capabilities of Nanopore DRS, which provides long-read sequencing data, we were able to capture not only gene expression levels but also crucial poly(A) tail length fluctuations and non-adenine residue (non-A) modifications. This comprehensive analysis allowed us to identify differentially expressed genes and explore the impact of these poly(A) modifications on function within the context of COVID-19. Findings reveal significant alterations in gene expression patterns, poly(A) tail lengths and non-A modifications in COVID-19 patients compared to healthy controls. Results provide valuable insights into the complex interplay between viral infection, host immune response, and RNA processing, contributing to a deeper understanding of COVID-19 pathogenesis.
Keywords: Blood; COVID-19; Non-A; Poly(A); SARS-CoV-2.