purification-hla-g-extravillous-trophoblasts-from-human-term

Purification of HLA-G<sup>+</sup> Extravillous Trophoblasts from Human Term Placental Tissues for Phenotyping and Functional Analysis

The human maternal-fetal interface represents a unique immunological environment where maternal immune cells and fetal extravilllous trophoblasts (EVT) ...

Cincinnati Children's Hospital Medical Center

University of Cincinnati College of Medicine

Maternal decidual CD8+ T cells must integrate the antithetical demands of providing immunity to infection while maintaining immune tolerance for fetal and placental antigens. Human decidual CD8+ T cells were shown to be highly differentiated memory T cells with mixed signatures of dysfunction, activation, and effector function. However, no information is present on how specificity for microbial or fetal antigens relates to their function or dysfunction. In addition, a key question, whether decidual CD8+ T cells include unique tissue-resident memory T cells (Trm) or also effector memory T cell (Tem) types shared with peripheral blood populations, is unknown. Here, high-dimensional flow cytometry of decidual and blood CD8+ T cells identified 2 Tem populations shared in blood and decidua and 9 functionally distinct Trm clusters uniquely found in decidua. Interestingly, fetus- and virus-specific decidual CD8+ Trm cells had similar features of inhibition and cytotoxicity, with no significant differences in their expression of activation, inhibitory, and cytotoxic molecules, suggesting that not all fetus-specific CD8+ T cell responses are suppressed at the maternal-fetal interface. Understanding how decidual CD8+ T cell specificity relates to their function and tissue residency is crucial in advancing understanding of their contribution to placental inflammation and control of congenital infections.

Antigen-specific decidual CD8+ T cells include distinct effector memory and tissue-resident memory cells.

Immunotherapy has emerged as a crucial strategy to combat cancer by "reprogramming" a patient's own immune system. Although immunotherapy is typically reserved for patients with a high mutational burden, neoantigens produced from posttranscriptional regulation may provide an untapped reservoir of common immunogenic targets for new targeted therapies. To comprehensively define tumor-specific and likely immunogenic neoantigens from patient RNA-Seq, we developed Splicing Neo Antigen Finder (SNAF), an easy-to-use and open-source computational workflow to predict splicing-derived immunogenic MHC-bound peptides (T cell antigen) and unannotated transmembrane proteins with altered extracellular epitopes (B cell antigen). This workflow uses a highly accurate deep learning strategy for immunogenicity prediction (DeepImmuno) in conjunction with new algorithms to rank the tumor specificity of neoantigens (BayesTS) and to predict regulators of mis-splicing (RNA-SPRINT). T cell antigens from SNAF were frequently evidenced as HLA-presented peptides from mass spectrometry (MS) and predict response to immunotherapy in melanoma. Splicing neoantigen burden was attributed to coordinated splicing factor dysregulation. Shared splicing neoantigens were found in up to 90% of patients with melanoma, correlated to overall survival in multiple cancer cohorts, induced T cell reactivity, and were characterized by distinct cells of origin and amino acid preferences. In addition to T cell neoantigens, our B cell focused pipeline (SNAF-B) identified a new class of tumor-specific extracellular neoepitopes, which we termed ExNeoEpitopes. ExNeoEpitope full-length mRNA predictions were tumor specific and were validated using long-read isoform sequencing and in vitro transmembrane localization assays. Therefore, our systematic identification of splicing neoantigens revealed potential shared targets for therapy in heterogeneous cancers.

Splicing neoantigen discovery with SNAF reveals shared targets for cancer immunotherapy.

Diverse T cell types accumulate at the human maternal fetal interface (MFI) during pregnancy to orchestrate immune tolerance for foreign fetal/placental tissues and immunity to pathogens. Yet, the dynamics of T cell influx and function at the MFI remain poorly defined. Conventional specific pathogen free (SPF) murine models fail to replicate the number and diversity of T cells in the human MFI, hindering mechanistic study of MFI T cells. Here we present an innovative use of a natural microbial exposure (NME) mouse model that enhances T cell influx and diversity in the MFI. We defined changes in the MFI of NME mice, relative to SPF mice and human tissues using transcriptomic and proteomic approaches. Physiological maternal microbial burden reproduced key features of human MFI immunology by i) significantly increasing the numbers and diversity of CD4 and CD8 effector and memory T cells at the MFI; ii) skewing the CD8 T cell composition towards tissue resident memory phenotypes with increased signatures of activation and dysfunction similar to human decidual T cells; and iii) expanding unconventional γδ T cells and Killer Lectin-like Receptors (KLR) expressing T cell types at the MFI, representative of an enhanced ability to interact with placental trophoblasts or infected cells. Thus, maternal microbial exposure induces vast changes to T cell numbers, diversity and functions at the MFI that models human MFI T cells with great fidelity. The NME model allows for improved translational investigation of the mechanisms of T cell tolerance, immunity, and inflammation in pregnancy.

Article	Year
Antigen-specific decidual CD8+ T cells include distinct effector memory and tissue-resident memory cells. JCI insight\| PubMed ID: 37681414	2023
Splicing neoantigen discovery with SNAF reveals shared targets for cancer immunotherapy. Science translational medicine\| PubMed ID: 38232136	2024
Natural microbial exposure populates the maternal fetal interface with diverse T cells. Frontiers in immunology\| PubMed ID: 40703520	2025

Shweta Mahajan

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