Down-regulation of MALAT1 is a hallmark of tissue and peripheral proliferative T cells in COVID-19
Dey, S.; Ashwin, H.; Milross, L.; Hunter, B.; Maho, J.; Filby, A. J.; Fisher, A. J.; Kaye, P. M.; Lagos, D.
Show abstract
T cells play key protective but also pathogenic roles in COVID-19. We studied expression of long non-coding RNAs (lncRNAs) in COVID-19 T cell transcriptomes by integrating previously published single-cell RNA sequencing datasets. The long intergenic non-coding RNA MALAT1 was the most highly transcribed lncRNA in T cells, with Th1 cells demonstrating the lowest and CD8+ resident memory cells the highest MALAT1 expression, amongst CD4+ and CD8+ T cells populations, respectively. We then identified gene signatures that covaried with MALAT1 in single T cells. A significantly higher number of transcripts correlated negatively with MALAT1 than those that correlated. Enriched functional annotations of the MALAT1-anti-correlating gene signature included processes associated with T cell activation such as cell division, oxidative phosphorylation and response to cytokine. The MALAT1 anti-correlating gene signature shared by both CD4+ and CD8+ T cells marked dividing T cells in both lung and blood of COVID-19 patients. Focussing on the tissue, we used an independent patient cohort of post-mortem COVID-19 lung samples and demonstrated that MALAT1 suppression was indeed a marker of MKI67+ proliferating CD8+ T cells. Our results reveal MALAT1 suppression and its associated gene signature are a hallmark of human proliferating T cells.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Identification of a novel enhancer essential for Satb1 expression in TH2 cells and activated ILC2s. 95%
- ScRNA-seq Expression of IFI27 and APOC2 Identifies Four Alveolar Macrophage Superclusters in Healthy BALF 95%
- STAT5B leukemic mutations, altering SH2 tyrosine 665, have opposing impacts on immune gene programs 94%
Similar papers in this journal
- High dimensional single-cell analysis reveals iNKT cell developmental trajectories and effector fate decision 96%
- A targeted multi-omic analysis approach measures protein expression and low abundance transcripts on the single cell level 96%
- Distinctive features of SARS-CoV-2-specific T cells predict recovery from severe COVID-19 96%
Similar papers in this journal
- Th2 single-cell heterogeneity and clonal interorgan distribution in helminth-infected mice 96%
- Neurotrophic factor Neuritin modulates T cell electrical and metabolic state for the balance of tolerance and immunity 95%
- Delineating the transcriptional landscape and clonal diversity of virus- specific CD4 + T cells during chronic viral infection 95%
Similar papers in this journal
- Selective regulation of IFN-γ and IL-4 co-producing unconventional T cells by purinergic signalling 95%
- The guanine nucleotide exchange factor Rin-like acts as a gatekeeper for T follicular helper cell differentiation via regulating CD28 signaling 95%
- Human marginal zone B cell development from early T2 progenitors 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.