Article

Protein-based cell population discovery and annotation for CITE-seq data identifies cellular phenotypes associated with critical COVID-19 severity

2024-03-15

Abstract excerpt

<h4>ABSTRACT</h4> Technologies such as Cellular Indexing of Transcriptomes and Epitopes sequencing (CITE-seq) and RNA Expression and Protein sequencing (REAP-seq) augment unimodal single-cell RNA sequencing (scRNA-seq) by simultaneously measuring expression of cell-surface proteins using antibody derived oligonucleotide tags (ADT). These protocols have been increasingly used to resolve cellular populations that a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3a5f6ef6-4485-5b5d-bf52-e80489dc6b7c
DOI: 10.1101/2024.03.14.584720

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Protein-based cell population discovery and annotation for CITE-seq data identifies cellular phenotypes associated with critical COVID-19 severityDOI 10.1101/2024.03.14.584720Read

Cell specific peripheral immune responses predict survival in critical COVID-19 patientsSemantic proximity Read

Integration of Transcriptome and Cell Surface Protein Expression by LinQ-View Identifies Unique Immune SubpopulationsSemantic proximity Read

Genular: An Integrated Platform for Defining Cellular Identity and Function through Single-Cell Gene Expression and Multi-Domain Biological DataSemantic 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

gExcite - A start-to-end framework for single-cell gene expression, hashing, and antibody analysisSemantic proximity Read

A Streamlined CyTOF Workflow To Facilitate Standardized Multi-Site Immune Profiling of COVID-19 PatientsSemantic proximity Read

Multimodal hierarchical classification of CITE-seq data delineates immune cell states across lineages and tissuesSemantic proximity Read

A streamlined whole blood CyTOF workflow defines a circulating immune cell signature of COVID ‐19Semantic proximity Read

ImmunoPheno: A Computational Framework for Data-Driven Design and Analysis of Immunophenotyping ExperimentsSemantic proximity Read

Robust identification of perturbed cell types in single-cell RNA-seq dataSemantic proximity Read

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