Discover Community Create You

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

Article

A blood transcriptome-based analysis of disease progression, immune regulation, and symptoms in coronavirus-infected patients

8 Dec 2020

Abstract excerpt

COVID-19 patients show heterogeneity in clinical presentation and outcomes that makes pandemic control and strategy difficult; optimizing management requires a systems biology approach of understanding the disease. Here we sought to potentially understand and infer complex disease progression, immune regulation, and symptoms in patients infected with coronaviruses (35 SARS-CoV and 3 SARS-CoV-2 patients and 57...

Read the complete abstract on PubMed

Topics

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

Share to COVID-19 Clinical Research Studies
Share to SARS-CoV-2 and COVID-19 Research
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33293514
DOI: 10.1038/s41420-020-00376-x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A blood transcriptome-based analysis of disease progression, immune regulation, and symptoms in coronavirus-infected patientsPMID 33293514Read ↗

A blood-based comprehensive and systems-level analysis of disease stages, immune regulation and symptoms in COVID-19 patientsSemantic proximity Read ↗

Characterisation of the blood RNA host response underpinning severity in COVID-19 patientsSemantic proximity Read ↗

Characterisation of the blood RNA host response underpinning severity in COVID-19 patientsSemantic proximity Read ↗

Transcriptomic Similarities and Differences in Host Response between SARS-CoV-2 and Other Viral InfectionsSemantic proximity Read ↗

Identification of PBMC-based molecular signature associational with COVID-19 disease severitySemantic proximity Read ↗

Dysregulated transcriptional responses to SARS-CoV-2 in the peripherySemantic proximity Read ↗

Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients.Semantic proximity Read ↗

Dysregulated transcriptional responses to SARS-CoV-2 in the periphery support novel diagnostic approachesSemantic proximity Read ↗

Longitudinal peripheral blood transcriptional analysis of COVID-19 patients captures disease progression and reveals potential biomarkersSemantic proximity Read ↗

People critically ill with COVID-19 exhibit peripheral immune profiles predictive of mortality and reflective of SARS-CoV-2 lung viral burdenSemantic proximity Read ↗

Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysisSemantic proximity Read ↗

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

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