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T-cell phenotyping uncovers systemic features of atopic dermatitis and psoriasis.

Consol Farrera | Rossella Melchiotti | Nedyalko Petrov | Karen Wei Weng Teng | Michael Thomas Wong | Chiew Yee Loh | Federica Villanova | Isabella Tosi | Jinmiao Chen | Katarzyna Grys | Hemawtee Sreeneebus | Anna Chapman | Gayathri K Perera | Susanne Heck | Filipe Gracio | Emanuele de Rinaldis | Jonathan N Barker | Catherine H Smith | Frank O Nestle | Evan W Newell | Paola Di Meglio
The Journal of allergy and clinical immunology | 2020

No abstract available

Pubmed ID: 31812571

Research resources used in this publication

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Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: Department of Health, United Kingdom

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Cytobank (tool)

RRID:SCR_014043

A cloud-based platform which allows users to analyze, visualize, and archive multiparamter cytometry data for single-cell biology. Multiple single-cell data sets can be analyzed and visualized simultaneously with a variety of graphics, inlcuding Sunburst, SPADE, and viSNE. Users can store and back up related data such as protocols, microscopy images, and presentations and collaborate and share analysis and data sets with other Cytobank users. Cytobank also provides a variety of services and training sessions to assist with experiment workflow.

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Phenograph (tool)

RRID:SCR_016919

Software tool as clustering method designed for high dimensional single cell data. Algorithmically defines phenotypes in high dimensional single cell data. Used for large scale analysis of single cell heterogeneity.

View all literature mentions