Evidence map›Paper›PMID 36869729›Full record

ArticleClinical and experimental immunology2023

Downregulation of MALAT1 is a hallmark of tissue and peripheral proliferative T cells in COVID-19.

Shoumit Dey, Helen Ashwin, Luke Milross, Bethany Hunter, Joaquim Majo, Andrew J Filby, Andrew J Fisher, Paul M Kaye, Dimitris Lagos

Open access · hybridAbstract read
In one paragraph

Article in Clinical and experimental immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Long COVID: Molecular Mechanisms and Detection Techniques.International journal of molecular sciences · 2023
    Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Shoumit DeyHull York Medical School and York Biomedical Research Institute, University of York, York, UK.ORCID 0000-0003-2655-9921
Helen AshwinHull York Medical School and York Biomedical Research Institute, University of York, York, UK.
Luke MilrossNewcastle University Translational and Clinical Research Unit, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Bethany HunterFlow Cytometry Core Facility and Innovation, Methodology and Application Research Theme, Newcastle University Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Joaquim MajoDepartment of Cellular Pathology, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Andrew J FilbyFlow Cytometry Core Facility and Innovation, Methodology and Application Research Theme, Newcastle University Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Andrew J FisherNewcastle University Translational and Clinical Research Unit, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Paul M KayeHull York Medical School and York Biomedical Research Institute, University of York, York, UK.
Dimitris LagosHull York Medical School and York Biomedical Research Institute, University of York, York, UK.ORCID 0000-0003-0637-281X
University of York · GBNewcastle University · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

T cells play key protective but also pathogenic roles in COVID-19. We studied the 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 the 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.

Indexed as

COVID-19RNA, Long NoncodingCD8-Positive T-LymphocytesCell ProliferationDown-RegulationHumansRNA, Long NoncodingCOVID-19lncRNAMALAT1proliferationT cell

Identifiers

PMID36869729
PMCPMC10243916
OpenAlexW4323067196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.