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Biology subjects

Miranda, A. X.

Publications and source records attributed to Miranda, A. X..

4 recordsLinked to original sources

Bone marrow B cell collapse promotes bone metastasis in breast cancer

Metastasis remains the primary cause of cancer-related deaths and is characterized by complex reprogramming of systemic processes. Emerging evidence indicates that extraosseous tumors can rewire bone marrow physiology and disrupt hematopoiesis, thereby compromising effective systemic immune responses. However, how tumor-induced immune alterations in bone marrow contribute to skeletal metastasis remains poorly defined. Here, using immunocompetent mouse models of mammary tumor bone metastasis, we show that mammary cancer cells precondition the bone marrow niche prior to metastatic colonization, driving early remodeling of the microenvironment and depleting bone marrow lymphoid populations. Specifically, cancer cells induce a dramatic B cell reduction, the most abundant lymphoid subset in bone marrow, resulting from dysregulated cell cycle gene expression in pre-B cells, along with impaired B-cell proliferation and differentiation. These findings are further validated in breast cancer bone metastasis patients, who exhibit significant bone marrow B-cell loss alongside disrupted molecular and developmental programs. A causal role for B cells in restraining skeletal metastasis is supported by the finding that experimental B-cell depletion significantly increases both incidence and severity of bone metastasis. Mechanistically, we find that B-cell loss is driven by systemic elevation of G-CSF. Accordingly, pharmacological neutralization of G-CSF significantly reduces both B-cell depletion and bone metastasis susceptibility. Collectively, our data reveal that breast cancer cells can distantly hijack B-cell developmental trajectories, promoting skeletal metastasis. This work identifies B cells and G-CSF as potential therapeutic targets in bone metastasis and highlights the importance of targeting early bone marrow immune dysregulation to prevent or limit skeletal metastasis. HIGHLIGHTSO_LIMammary tumor cells reshape the bone marrow niche inducing B cell loss C_LIO_LIBone marrow B cell development is impaired in mammary tumor metastasis C_LIO_LIExperimental depletion of B cells promotes bone metastasis C_LIO_LIG-CSF mediates B cell loss in mammary tumor metastasis C_LI

cancer biology↗

STING-STAT3-SOX18 Axis Drives EndMT and Epigenetic Reprogramming in SAVI Lung Fibrosis

A high prevalence of early-onset interstitial lung disease, including pulmonary fibrosis, in pediatric patients with Stimulator of interferon genes (STING)-Associated Vasculopathy with onset in infancy (SAVI) suggests a critical role for the cGAS-STING pathway in the pathogenesis of pulmonary fibrosis. We identified an endothelial-to-mesenchymal transition (EndMT) signature in lesional lung biopsies from SAVI patients, marked by a loss of endothelial and acquisition of mesenchymal markers. Consistently, induced pluripotent stem cell-derived endothelial cells (iECs) from SAVI patients harboring gain-of-function STING1 mutations spontaneously undergo EndMT, a process rescued in isogenic-correction. In endothelial cells, STING activation induces IRF3-independent STAT3 phosphorylation, initiating a SLUG-dependent mesenchymal transcriptional program while repressing SOX18 and an epigenetically-regulated endothelial maintenance network. Our studies define a non-canonical cGAS-STING-STAT3 signaling axis that couples a mesenchymal transcriptional program with epigenetic silencing of an endothelial maintenance program, promoting TGF{beta}-independent STING-mediated EndMT and endothelial dysfunction, and suggesting STING as a therapeutic target for inflammatory pulmonary fibrosis.

cell biology↗

Insights into tick-pathogen interactions - a single cell RNA sequencing approach of transcriptional changes during ehrlichial infection

Tick-borne diseases represent a significant threat to human and animal health worldwide. In the United States, the blacklegged tick, Ixodes scapularis (I. scapularis), serves as a competent vector for several bacterial pathogens, including Ehrlichia muris eauclairensis (EME). The I. scapularis embryonic cell line (ISE6) is a valuable tool for propagating tick-borne pathogens and studying tick-pathogen interactions. In this study, we examined the cellular complexity of ISE6 cells and their response to EME infection. Single-cell RNA sequencing revealed 15 distinct cell clusters present. Although ISE6 cells are heterogeneous, they do not display transcriptional similarity to any known tick tissues. Notably, this lack of similarity did not influence their susceptibility to EME infection. Our results demonstrated that EME infection induces time-dependent transcriptional changes in ISE6 cells: early infection is characterized by upregulation of genes associated with stress adaptation, mitochondrial function, and metabolic pathways, whereas late infection leads to broad downregulation of genes involved in the cell cycle, DNA replication, and cytoskeletal organization. These findings enhance our understanding of ehrlichial interactions with ISE6 cells and reinforce the utility of this cell line as a resource for isolating and propagating arthropod endosymbionts and tick-borne pathogens. IMPORTANCEThis study provides a single-cell resolution framework for interpreting tick cell line biology during infection with a medically relevant ehrlichial pathogen. Using scRNA-seq, we show that the I. scapularis embryonic-derived ISE6 cell line comprises multiple transcriptionally distinct cell states, yet these states do not map cleanly onto canonical tick tissue signatures, even when compared against a curated reference tissue atlas. Despite this heterogeneity, EME broadly infects ISE6 cell population, indicating that susceptibility is not restricted to a specific cell type. We further define a time-dependent arthropod vector response in which early infection is marked by activation of stress and metabolic adaptation response, followed by late-stage inhibition of key signaling, transcriptional, and proliferative pathways as bacterial burden increases. Together, these findings strengthen the biological interpretation of ISE6 as an in vitro model for tick-pathogen interactions and provide a resource for future mechanistic studies of ehrlichial persistence, replication, and vector competence.

molecular biology↗

Genomic dissection and mutation-specific target discovery for breast cancer PIK3CA hotspot mutations

BackgroundRecent advancements in high-throughput genomics and targeted therapies have provided tremendous potential to identify and therapeutically target distinct mutations associated with cancers. However, to date the majority of targeted therapies are used to treat all functional mutations within the same gene, regardless of affected codon or phenotype. ResultsIn this study, we developed a functional genomic analysis workflow with a unique isogenic cell line panel bearing two distinct hotspot PIK3CA mutations, E545K and H1047R, to accurately identify targetable differences between mutations within the same gene. We performed RNA-seq and ATAC-seq and identified distinct transcriptomic and epigenomic differences associated with each PIK3CA hotspot mutation. We used this data to curate a select CRISPR knock out screen to identify mutation-specific gene pathway vulnerabilities. These data revealed AREG as a E545K-preferential target that was further validated through in vitro analysis and publicly available patient databases. ConclusionsUsing our multi-modal genomics framework, we discover distinct differences in genomic regulation between PIK3CA hotspot mutations, suggesting the PIK3CA mutations have different regulatory effects on the function and downstream signaling of the PI3K complex. Our results demonstrate the potential to rapidly uncover mutation specific molecular targets, specifically AREG and a proximal gene regulatory region, that may provide clinically relevant therapeutic targets. The methods outlined provide investigators with an integrative strategy to identify mutation-specific targets for the treatment of other oncogenic mutations in an isogenic system.

genomics↗