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

Construction of a Human Cell Landscape of COVID-19 Infection at Single-cell Level

1 Jan 2021

Abstract excerpt

COVID-19 is now causing a global pandemic, there is a demand to explain the different clinical patterns between children and adults. To clarify the organs/cell types vulnerable to COVID-19 infection and the potential age-depended expression patterns of five factors (ACE2, TMPRSS2, MTHFD1, CTSL, CTSB) associated with clinical symptoms. In this study, we analyzed expression levels of five COVID-19 host dependency...

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 Long-Term Effects of COVID-19
Share to SARS-CoV-2 and COVID-19 Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34094635
DOI: 10.14336/ad.2021.0301

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

Construction of a Human Cell Landscape of COVID-19 Infection at Single-cell LevelPMID 34094635Read ↗

The scRNA-seq expression profiling of the receptor ACE2 and the cellular protease TMPRSS2 reveals human organs susceptible to COVID-19 infectionSemantic proximity Read ↗

Integration of human organoids single-cell transcriptomic profiles and human genetics repurposes critical cell type-specific drug targets for severe COVID-19Semantic proximity Read ↗

The Expression and Polymorphism of Entry Machinery for COVID-19 in Human: Juxtaposing Population Groups, Gender, and Different TissuesSemantic proximity Read ↗

COVID-19 Mortality is Associated with Impaired Innate Immunity in Pre-existing Health ConditionsSemantic proximity Read ↗

Stages or phenotypes? A critical look at COVID-19 pathophysiologySemantic proximity Read ↗

An In-Depth Insight into Clinical, Cellular and Molecular Factors in COVID-19-Associated Cardiovascular Ailments for Identifying Novel Disease Biomarkers, Drug Targets and Clinical Management StrategiesSemantic proximity Read ↗

<strong></strong>An In-Depth Insight into Clinical, Cellular and Molecular Factors in COVID19-Associated Cardiovascular Ailments for Identifying Novel Disease Biomarkers, Drug Targets and Clinical Management StrategiesSemantic proximity Read ↗

<i>ELF5</i> is a respiratory epithelial cell-specific risk gene for severe COVID-19Semantic proximity Read ↗

Identification of driver genes for severe forms of COVID-19 in a deeply phenotyped young patient cohortSemantic proximity Read ↗

A novel multi-omics-based identification of symptoms, comorbid conditions, and possible long-term complications in COVID-19Semantic proximity Read ↗

Multimodal single-cell omics analysis identifies epithelium–immune cell interactions and immune vulnerability associated with sex differences in COVID-19Semantic proximity Read ↗

Human‐host transcriptomic analysis reveals unique early innate immune responses in different sub‐phenotypes of COVID‐19Semantic proximity Read ↗

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