Single cell alloimmune landscape of liver transplant rejection IMC data

<p>This contains 23 raw .mcd files obtained using IMC, the key markers used during downstream analysis, a metadata_samples.csv file with the clinical group identifier, and a processed_data.csv file with the cell segmentation output (marker intensity expressions) and the cell type label identifier, as used in the publication:</p> <p>&nbsp;</p> <p><strong>Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection</strong></p> <p>Nolan Ung, Cameron Goldbeck, Cassandra Man, Julianne Hoeflich, Ren Sun, Arianna Barbetta, Naim Matasci, Jonathan Katz, Jerry S. H. Lee, Shefali Chopra,&nbsp;Shahab Asgharzadeh, Mika Warren, Linda Sher, Rohit Kohli, Omid Akbari, Yuri Genyk&nbsp;and Juliet Emamaullee</p> <p><em>Front. Immunol.</em>&nbsp;13:831103</p> <p><a href="https://doi.org/10.3389/fimmu.2022.831103">https://doi.org/10.3389/fimmu.2022.831103</a></p> <p>&nbsp;</p> <p><strong><em>Please cite this article if you re-use any of the data.</em></strong></p> <p>&quot;Ung N, Goldbeck C, Man C, Hoeflich J, Sun R, Barbetta A, Matasci N, Katz J, Lee JSH, Chopra S, Asgharzadeh S, Warren M, Sher L, Kohli R, Akbari O, Genyk Y and Emamaullee J (2022) Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection.&nbsp;<em>Front. Immunol.</em>&nbsp;13:831103. doi: 10.3389/fimmu.2022.831103&quot;</p> <p>(https://www.frontiersin.org/articles/10.3389/fimmu.2022.831103/full)</p>