Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity.

doi:10.1016/j.celrep.2023.112613

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity.

Cell reports - 27 Jun 2023

Potts Martin, Fletcher-Etherington Alice, Nightingale Katie, Mescia Federica, Bergamaschi Laura, Calero-Nieto Fernando J, Antrobus Robin, Williamson James, Parsons Harriet, Huttlin Edward L, Kingston Nathalie, Göttgens Berthold, Bradley John R, Lehner Paul J, Matheson Nicholas J, Smith Kenneth G C, Wills Mark R, Lyons Paul A, Weekes Michael P

Abstract excerpt

Certain serum proteins, including C-reactive protein (CRP) and D-dimer, have prognostic value in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Nonetheless, these factors are non-specific, providing limited mechanistic insight into the peripheral blood mononuclear cell (PBMC) populations that drive the pathogenesis of severe COVID-19. To identify cellular phenotypes associated with...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Complement system in diseases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to COVID-19

Share to COVID-19 Clinical Research Studies

Share to Leukocytes, Mononuclear

Share to Phenotype

Share to Proteomics

Share to SARS-CoV-2

Share to SARS-CoV-2 and COVID-19 Research

Source

Open in PubMed Open full text

Identifiers

PMID: 37302069
DOI: 10.1016/j.celrep.2023.112613
PMCID: PMC10243220

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity.PMID 37302069Read ↗

Proteomic analysis of circulating immune cells identifies novel cellular phenotypes associated with COVID-19 severitySemantic proximity Read ↗

Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection TrajectoriesSemantic proximity Read ↗

Single-cell multi-omics analysis of the immune response in COVID-19Semantic proximity Read ↗

The cellular immune response to COVID-19 deciphered by single cell multi-omics across three UK centresSemantic proximity Read ↗

Single-cell multiomics revealed the dynamics of antigen presentation, immune response and T cell activation in the COVID-19 positive and recovered individualsSemantic proximity Read ↗

A multimodal atlas of COVID-19 severity identifies hallmarks of dysregulated immunitySemantic proximity Read ↗

Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection TrajectoriesSemantic proximity Read ↗

Identification of Distinct Immune Cells Associated with Various Clinical Presentations of COVID-19Semantic proximity Read ↗

Suppressive myeloid cells are a hallmark of severe COVID-19Semantic proximity Read ↗

Cellular heterogeneity in disease severity and clinical outcome: Granular understanding of immune response is key.Semantic proximity Read ↗

Identification of Distinct Immune Cell Subsets Associated With Asymptomatic Infection, Disease Severity, and Viral Persistence in COVID-19 PatientsSemantic proximity Read ↗

Data-driven analysis of COVID-19 reveals specific severity patterns distinct from the temporal immune responseSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.