Biology subjects

Burkett, S.

Publications and source records attributed to Burkett, S..

3 recordsLinked to original sources

bioRxiv2024

Id1 Promotes Clonal Hematopoiesis in Mice with Tet2 Loss of Function

Hematopoietic malignancies emerge through the gradual acquisition of genetic mutations within hematopoietic stem and progenitor cells (HSPCs). Mutations that occur early in disease progression impart a selective growth advantage to HSPCs, which allows them to expand and contribute to a substantial percentage of mature blood cells. This increased expansion is termed clonal hematopoiesis (CH) and is a preleukemic phase associated with an increased risk of developing leukemia. Inhibitor of DNA binding 1 (ID1) protein is a transcriptional regulator of proliferation/differentiation of neuronal, muscle, hematopoietic and other cells, and is frequently overexpressed in cancer. Id1 is expressed at low levels in normal HSCs and is induced by growth factors and other mediators of inflammatory stress and promotes HSPC proliferation in vitro and in vivo. Since chronic inflammation is associated with the progression of hematopoietic malignancies, reducing Id1 expression during CH may be therapeutic. Mutations in TET2 are frequently observed in patients with CH, and Tet2-/-mice develop CH that progress to hematopoietic malignancies. Id1 is upregulated in murine Tet2-/- HSPCs and in AML, CMML and MDS patient samples with TET2 mutations. Genetic ablation of Id1 in Tet2-/- HSPCs reduces HSPC expansion/self-renewal/CH, extramedullary hematopoiesis, myeloid skewing, genetic instability and delays the onset of disease. Mechanistically, p16 expression, senescence and apoptosis were increased and proliferation decreased in Tet2-/-; Id1-/- HSPCs. Thus, ID1 may represent a potential therapeutic target to reduce CH, hematopoietic hyperplasia, and delay the onset of disease. One Sentence SummaryGenetic ablation of Id1 in Tet2-/- mice rescues clonal hematopoiesis by increasing CDKI expression, apoptosis, senescence, and differentiation, and reducing cell growth.

cancer biology↗

bioRxiv2021

Profiles of expressed mutations in single cells reveal patterns of tumor evolution and therapeutic impact of intratumor heterogeneity

Advances in single-cell RNA sequencing (scRNAseq) technologies uncovered an unexpected complexity in tumors, underlining the relevance of intratumor heterogeneity to cancer progression and therapeutic resistance. Heterogeneity in the mutational composition of cancer cells is a result of distinct (sub)clonal expansions, each with a distinct metastatic potential and resistance to specific treatments. Unfortunately, due to their low read coverage per cell, scRNAseq datasets are too sparse and noisy to be used for detecting expressed mutations in single cells. Additionally, the large number of cells and mutations present in typical scRNAseq datasets are too large for available computational tools to, e.g., infer distinct subclones, lineages or trajectories in a tumor. Finally, there are no principled methods to assess distinct subclones inferred through single-cell sequencing data and the genomic alterations that seed and potentially cause them. Here we present Trisicell, a computational toolkit for scalable mutational intratumor heterogeneity inference and assessment from scRNAseq as well as single-cell genome or exome sequencing data. Trisicell allows reliable identification of distinct clonal lineages of a tumor, offering the ability to focus on the most important subclones and the genomic alterations that are associated with tumor proliferation. We comprehensively assessed Trisicell on a melanoma model by comparing distinct lineages and subclones it identifies on scRNAseq data, to those inferred using matching bulk whole exome (bWES) and transcriptome (bWTS) sequencing data from clonal sublines derived from single cells. Our results demonstrate that distinct lineages and subclones of a tumor can be reliably inferred and evaluated based on mutation calls from scRNAseq data through the use of Trisicell. Additionally, they reveal a strong correlation between aggressiveness and mutational composition, both across the inferred subclones, and among human melanomas. We also applied Trisicell to infer and evaluate distinct subclonal expansion patterns of the same mouse melanoma model after treatment with immune checkpoint blockade (ICB). After integratively analyzing our cell-specific mutation calls with their expression profiles, we observed that each subclone with a distinct set of novel somatic mutations is strongly associated with a specific developmental status. Moreover, each subclone had developed a unique ICB-resistance mechanism. These results demonstrate that Trisicell can robustly utilize scRNAseq data to delineate intratumor heterogeneity and help understand biological mechanisms underlying tumor progression and resistance to therapy.

bioinformatics↗

bioRxiv2020

Targeting nuclear pore protein, NUP210, reduces metastasis through heterochromatin-mediated silencing of mechanosensitive genes

Mechanical signals from the extracellular microenvironment have been implicated in tumor and metastatic progression. Here, we identified nucleoporin NUP210 as a metastasis susceptibility gene for human estrogen receptor positive (ER+) breast cancer and a cellular mechanosensor. Nup210 depletion suppresses lung metastasis in mouse models of breast cancer. Mechanistically, NUP210 interacts with LINC complex protein SUN2 which connects the nucleus to the cytoskeleton. In addition, the NUP210/SUN2 complex interacts with chromatin via the short isoform of BRD4 and histone H3.1/H3.2 at the nuclear periphery. In Nup210 knockout cells, mechanosensitive genes accumulate H3K27me3 heterochromatin modification, mediated by the polycomb repressive complex 2 and differentially reposition within the nucleus. Transcriptional repression in Nup210 knockout cells results in defective mechanotransduction and focal adhesion necessary for their metastatic capacity. Our study provides a new insight into the role of nuclear pore protein in cellular mechanosensation and metastasis.

cancer biology↗