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Araujo, D. J.

Publications and source records attributed to Araujo, D. J..

3 recordsLinked to original sources

Modeling the evolutionary history of nonclassical monocytes in mammals

The immune system has experienced major changes in both its organization and function during the evolution of tetrapod animals. Still, the ancestry of specific cell types and the historical relationships between modern immune cells has received little attention. While all tetrapods possess mononuclear blood cells and monocytes, vasculature-patrolling nonclassical monocytes (CD16+CD14- in humans, Ly6C- in mice) have so far only been described in mammals. The question of whether nonclassical monocytes are specific to the mammalian lineage has not been answered. Cell types can be described as traits that persist via the inheritance of core regulatory complexes of transcription factors. We utilized transcriptional network analyses on a human monocyte single-cell RNA-sequencing dataset to highlight the core regulatory complex associated with nonclassical monocyte production (nCoRC). We then applied BLAST-based analyses to quantify the conservation of human nCoRC members amongst mammals and nonmammals. We determined that the average sequence similarity of nCoRC members is highest amongst mammals and that such conservation is not observed in non-mammalian tetrapods. We also discovered that this sequence similarity is specifically driven by boreoeutherian placental mammals. Finally, we found the receptor proteins upstream of nonclassical monocyte assembly are also more homologous in mammals than non-mammals. This work provides an evolutionary model in which the capacity for nonclassical monocyte production is unique to the mammalian lineage.

evolutionary biology↗

Interplay of Monocytes and T Lymphocytes in COVID-19 Severity

The COVID-19 pandemic represents an ongoing global crisis that has already impacted over 13 million people. The responses of specific immune cell populations to the disease remain poorly defined, which hinders improvements in treatment and care management. Here, we utilized mass cytometry (CyTOF) to thoroughly phenotype peripheral myeloid cells and T lymphocytes from 30 convalescent patients with mild, moderate, and severe cases of COVID-19. We identified 10 clusters of monocytes and dendritic cells and 17 clusters of T cells. Examination of these clusters revealed that both CD14+CD16+ intermediate and CD14dimCD16+ nonclassical monocytes, as well as CD4+ stem cell memory T (TSCM) cells, correlated with COVID-19 severity, coagulation factor levels, and/or inflammatory indicators. We also identified two nonclassical monocyte subsets distinguished by expression of the sugar residue 6-Sulfo LacNac (Slan). One of these subsets (Slanlo, nMo1) was depleted in moderately and severely ill patients, while the other (Slanhi, nMo2) increased with disease severity and was linked to CD4+ T effector memory (TEM) cell frequencies, coagulation factors, and inflammatory indicators. Intermediate monocytes tightly correlated with loss of naive T cells as well as an increased abundance of effector memory T cells expressing the exhaustion marker PD-1. Our data suggest that both intermediate and non-classical monocyte subsets shape the adaptive immune response to SARS-CoV-2. In summary, our study provides both broad and in-depth characterization of immune cell phenotypes in response to COVID-19 and suggests functional interactions between distinct cell types during the disease. One Sentence SummaryUse of mass cytometry on peripheral blood mononuclear cells from convalescent COVID-19 patients allows correlation of distinct monocyte and T lymphocyte subsets with clinical factors.

immunology↗

CyTOF reveals phenotypically-distinct human blood neutrophil populations differentially correlated with melanoma stage

Understanding neutrophil heterogeneity and its relationship to disease progression has become a recent focus of cancer research. Indeed, several studies have identified neutrophil subpopulations associated with pro- or anti-tumoral functions. However, this work has been hindered by the lack of widely-accepted markers with which to define neutrophil subpopulations. To identify markers of neutrophil heterogeneity in cancer, we utilized single-cell cytometry by time-of-flight (CyTOF) coupled with high-dimensional analysis on blood samples from treatment-naive, melanoma patients. Our efforts allowed us to identify 7 blood-neutrophil clusters, including 2 previously identified individual populations. Interrogation of these neutrophil subpopulations revealed a positive trend between specific clusters and disease stage. Finally, we recapitulated these 7 blood-neutrophil populations via flow cytometry and found that they exhibit diverse capacities for phagocytosis and reactive oxygen species (ROS) production in vitro. In summary, our data provide a refined consensus on neutrophil-heterogeneity markers, enabling a prospective functional evaluation in patients with solid tumors. KEY POINTSO_LICyTOF analysis reveals 7 blood neutrophil clusters correlating with melanoma stage in treatment-naive patients. C_LIO_LINeutrophil clusters by unbiased-calling are recapitulated by flow cytometry and harbor diverse phagocytic and ROS-producing capacities. C_LI

immunology↗