Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Author Correction: Proteasome-guided haem signalling axis contributes to T cell exhaustion.

Nature·2026

Same author

Homeostatic mature dendritic cells instruct fibroblast specialization via Notch2 signaling to establish T cell niches.

Immunity·2026

Same author

Enhancing Proteasome Activity in T Cells Alleviates Exhaustion and Improves Antitumor Immunity.

Cancer research·2026

Same author

Proteasome-guided haem signalling axis contributes to T cell exhaustion.

Nature·2026

Same author

Transcriptional dynamics and chromatin accessibility in the regulation of shade-responsive genes in Arabidopsis.

Genome biology·2025

Same author

Multi-modal image analysis for large-scale cancer tissue studies within IMMUcan.

Cell reports methods·2025

Search research articles

Related Experiment Video

Updated: Oct 14, 2025

Field-Deployable Lens-Free Imaging Platform for Rapid Label-Free Analysis of Natural Killer Cell Activation

Field-Deployable Lens-Free Imaging Platform for Rapid Label-Free Analysis of Natural Killer Cell Activation

Published on: August 8, 2025

SPICA: Swiss portal for immune cell analysis.

Massimo Andreatta^1,2, Fabrice P A David³, Christian Iseli³

¹Ludwig Institute for Cancer Research, Lausanne Branch, and Department of Oncology, CHUV and University of Lausanne, Epalinges 1066, Switzerland.

Nucleic Acids Research

|November 8, 2021

Summary

The Swiss portal for immune cell analysis (SPICA) offers a unique resource for exploring immune cell data. It provides detailed atlases and allows users to analyze their own single-cell RNA sequencing data.

More Related Videos

Author Spotlight: Developing Immunocompetent Organ-on-Chip Models for Infectious Disease Research

Author Spotlight: Developing Immunocompetent Organ-on-Chip Models for Infectious Disease Research

Published on: May 24, 2024

Qualitative and Quantitative Analysis of the Immune Synapse in the Human System Using Imaging Flow Cytometry

Qualitative and Quantitative Analysis of the Immune Synapse in the Human System Using Imaging Flow Cytometry

Published on: January 7, 2019

Related Experiment Videos

Last Updated: Oct 14, 2025

Field-Deployable Lens-Free Imaging Platform for Rapid Label-Free Analysis of Natural Killer Cell Activation

Field-Deployable Lens-Free Imaging Platform for Rapid Label-Free Analysis of Natural Killer Cell Activation

Published on: August 8, 2025

Author Spotlight: Developing Immunocompetent Organ-on-Chip Models for Infectious Disease Research

Author Spotlight: Developing Immunocompetent Organ-on-Chip Models for Infectious Disease Research

Published on: May 24, 2024

Qualitative and Quantitative Analysis of the Immune Synapse in the Human System Using Imaging Flow Cytometry

Qualitative and Quantitative Analysis of the Immune Synapse in the Human System Using Imaging Flow Cytometry

Published on: January 7, 2019

Area of Science:

Immunology
Bioinformatics
Genomics

Background:

Single-cell transcriptomics reveals immune cell heterogeneity.
Existing databases lack high-resolution, cell type-specific immune atlases.
Analyzing immune cell data requires specialized tools and curated references.

Purpose of the Study:

To introduce the Swiss portal for immune cell analysis (SPICA), a web resource for immune cell single-cell RNA sequencing data.
To provide curated, high-resolution reference atlases for immune cell states.
To enable private analysis of user data within the context of existing atlases.

Main Methods:

Development of a web-based portal (SPICA).
Curation of cell type-specific reference atlases for immune cells.
Integration of published single-cell RNA sequencing datasets.
Implementation of a platform for private data analysis.

Main Results:

SPICA hosts curated, high-resolution reference atlases for immune cell states.
The portal includes published single-cell datasets analyzed against these atlases.
Users can upload and privately analyze their own single-cell RNA sequencing data.

Conclusions:

SPICA serves as a valuable resource for immune cell analysis using single-cell transcriptomics.
The platform facilitates high-resolution exploration of immune cell heterogeneity.
SPICA supports both public data exploration and private data analysis, fostering collaborative research.