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Malenica, I.

Publications and source records attributed to Malenica, I..

2 recordsLinked to original sources

Multimodal single-cell profiling of intrahepatic cholangiocarcinoma defineshyperactivated Tregs as a potential therapeutic target

The quality of the immune infiltrate of intrahepatic cholangiocarcinoma (iCCA), a rare, yet aggressive tumor of the biliary tract, remains poorly characterized, limiting development of successful immunotherapies. We used high-dimensional flow cytometry to characterise the T cell and myeloid compartments of iCCA comparing these with their tumor-free peritumoral and circulating counterparts. We found poor infiltration of putative tumor-specific CD39+ CD8+ T cells accompanied by abundant infiltration of hyperactivated CD4+ regulatory T cells (Tregs), whose frequency in relation to that of CD4+ CD69+ T cells and conventional type 2 dendritic cells was associated with poor prognosis. Single-cell RNA-sequencing identified an altered network of transcription factors in iCCA-infiltrating compared to peritumoral T cells, suggesting reduced effector functions by tumor-infiltrating CD8+ T cells and enhanced immunosuppression by CD4+ Tregs. Specifically, we found that expression of mesenchyme homeobox 1 (MEOX1) was highly enriched in tumor-infiltrating Tregs, and demonstrated that MEOX1 overexpression is sufficient to reprogram circulating precursors to acquire the transcriptional and epigenetic landscape of tumorinfiltrating Tregs. Interfering with hyperactivated Tregs should be thus explored to enhance antitumor immunity in iCCA.

immunology↗

Learned adaptive multiphoton illumination microscopy

Multiphoton microscopy is a powerful technique for deep in vivo imaging in scattering samples. However, it requires precise, sample-dependent increases in excitation power with depth in order to maintain signal while minimizing photodamage. We show that cells with identical fluorescent labels imaged in situ can be used to train a physics-based machine learning model that solves this problem. After this training has been performed, the correct illumination power can be predicted and adaptively adjusted at each point in a 3D volume on subsequent samples as a function of the samples shape, without the need for specialized fluorescent labelling. We use this technique for in vivo imaging of immune responses in mouse lymph nodes following vaccination, with imaging volumes 2-3 orders of magnitude larger than previously reported. We achieve visualization of physiologically realistic numbers of antigen-specific T cells for the first time, and demonstrate changes in the global organization and motility of dendritic cell networks during the early stages of the immune response.

immunology↗