Profiling Lung Immune Cells by Flow Cytometry

IL-17A⁺ and IL-22⁺ CD4⁺ T-cells, γδ T-cells, NKT-cells and ILC3s in lung homogenates were determined based on surface marker expression (supplementary table S2) [25 (link)–27 (link)] using a BD FACSAriaIII. Flow cytometry antibodies were from Biolegend (Karrinyup, Australia) or BD Biosciences (North Ryde, Australia) (supplementary table S3, supplementary figure S1).

Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link: Access Free Full Text.

Starkey M.R., Plank M.W., Casolari P., Papi A., Pavlidis S., Guo Y., Cameron G.J., Haw T.J., Tam A., Obiedat M., Donovan C., Hansbro N.G., Nguyen D.H., Nair P.M., Kim R.Y., Horvat J.C., Kaiko G.E., Durum S.K., Wark P.A., Sin D.D., Caramori G., Adcock I.M., Foster P.S, & Hansbro P.M. (2019). IL-22 and its receptors are increased in human and experimental COPD and contribute to pathogenesis. The European respiratory journal, 54(1), 1800174.

Publication 2019

BD FACSAriaIII Flow cytometry antibodies

Antibodies Cd4 t cells Flow cytometry Il 17a Il 22 Lung Nkt cells T cells

Corresponding Organization :

Other organizations : Hunter Medical Research Institute, University of Ferrara, Imperial College London, St. Paul's Hospital, University of British Columbia, Centenary Institute, University of Technology Sydney, National Institutes of Health, National Cancer Institute, Center for Cancer Research, University of Messina

Top 5 similar protocols

Variable analysis

independent variables

None explicitly mentioned

dependent variables

Frequency of IL-17A+ and IL-22+ CD4+ T-cells, γδ T-cells, NKT-cells and ILC3s in lung homogenates

control variables

Surface marker expression used to identify cell populations (supplementary table S2)
Flow cytometry antibodies used (supplementary table S3, supplementary figure S1)

controls

Positive controls: Not explicitly mentioned
Negative controls: Not explicitly mentioned

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!