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Modliszewski, J. L.

Publications and source records attributed to Modliszewski, J. L..

4 recordsLinked to original sources

Enhancing radiotherapy response via intratumoral injection of the TLR9 agonist CpG to stimulate CD8 T cells in an autochthonous mouse model of sarcoma

Radiation therapy is frequently used to treat cancers including soft tissue sarcomas. Prior studies established that the toll-like receptor 9 (TLR9) agonist cytosine-phosphate-guanine oligodeoxynucleotide (CpG) enhances the response to radiation therapy (RT) in transplanted tumors, but the mechanism(s) remain unclear. Here, we used CRISPR/Cas9 and the chemical carcinogen 3-methylcholanthrene (MCA) to generate autochthonous soft tissue sarcomas with high tumor mutation burden. Treatment with a single fraction of 20 Gy RT and two doses of CpG significantly enhanced tumor response, which was abrogated by genetic or immunodepletion of CD8+ T cells. To characterize the immune response to RT + CpG, we performed bulk RNA-seq, single-cell RNA-seq, and mass cytometry. Sarcomas treated with 20 Gy and CpG demonstrated increased CD8 T cells expressing markers associated with activation and proliferation, such as Granzyme B, Ki-67, and interferon-{gamma}. CpG + RT also upregulated antigen presentation pathways on myeloid cells. Furthermore, in sarcomas treated with CpG + RT, TCR clonality analysis suggests an increase in clonal T-cell dominance. Collectively, these findings demonstrate that RT + CpG significantly delays tumor growth in a CD8 T cell-dependent manner. These results provide a strong rationale for clinical trials evaluating CpG or other TLR9 agonists with RT in patients with soft tissue sarcoma.

cancer biology↗

Temporary knockdown of p53 during focal limb irradiation increases the development of sarcomas

BackgroundApproximately half of all cancer patients receive radiotherapy and, as cancer survivorship rates increase with more effective therapies, the very low rate of radiation-associated sarcomas is rising. Radiation-associated sarcomas are life-threatening cancers, and radiation exposure is a primary risk factor for sarcoma development. During radiotherapy or other genotoxic cancer therapy for p53 mutant cancers, pharmacological inhibition of p53 has been proposed to ameliorate acute injury of normal tissues. However, enhancing the survival of normal cells that sustain DNA damage by temporarily inhibiting p53 has the potential to increase the risk of cancer development. Here, we use in vivo shRNA technology to examine the consequences of temporarily reducing p53 expression on radiation-induced sarcoma development. MethodsWe utilized a mouse model of radiation-induced sarcoma where mice express a doxycycline (dox)-inducible p53 shRNA to temporarily and reversibly reduce p53 expression. Mice were placed on a dox diet 10 days prior to receiving 30 or 40 Gy hind limb irradiation in a single fraction and then returned to normal chow. Mice were examined weekly for sarcoma development and scored for radiation-induced normal tissue injuries. Radiation-induced sarcomas were harvested and subjected to RNA sequencing. ResultsFollowing single high-dose irradiation, 21% of temporary p53 knockdown animals developed a sarcoma in the radiation field compared to 2% of control animals. Mice with more severe acute injuries in the first 3 months after irradiation had a significantly increased risk of developing late persistent wounds in the soft tissue and bone. Chronic radiation-induced wounds were associated with sarcomagenesis. Examination of muscle stem cells by flow cytometry following hind limb irradiation indicated p53 knockdown preserves muscle stem cells in the irradiated limb, supporting the notion that temporary p53 knockdown at the time of irradiation reduces death of cells with DNA damage which may then persist to develop into a sarcoma. We performed RNA sequencing on 16 radiation-induced sarcomas compared to normal muscle controls. Gene set enrichment analysis revealed upregulation in the sarcomas of genes related to translation, epithelial mesenchymal transition (EMT), inflammation, and the cell cycle versus downregulation of genes related to myogenesis and tumor metabolism. Furthermore, genes with increased copy number such as Met and Cdk4 were overexpressed in tumors. ConclusionsTemporary reduction of p53 during high-dose irradiation increases late effects including tissue injuries and sarcoma development.

cancer biology↗

Integration of the Salmonella Typhimurium methylome and transcriptome following environmental or metabolic perturbation reveals DNA methylation and transcriptional regulation are largely decoupled

Despite being in a golden age of bacterial epigenomics, little work has systematically examined the plasticity and functional impacts of the bacterial DNA methylome. Here, we leveraged SMRT sequencing to examine the m6A DNA methylome of two Salmonella enterica ser. Typhimurium strains: 14028s and a {Delta}metJ mutant with derepressed methionine metabolism, grown in Luria Broth or a media that simulates the intracellular environment. We find that the methylome is remarkably static--over 95% of adenosine bases retain their methylation status across conditions. Integration of methylation with transcriptomic data revealed limited correlation between changes in methylation and gene expression. Further, examining the transcriptome in {Delta}yhdJ bacteria, lacking the m6A methylase with the most dynamic methylation pattern in our dataset, revealed little evidence of YhdJ-mediated gene regulation. Curiously, despite G(m6A)TC motifs being particularly resistant to change across conditions, incorporating dam mutants into our analyses revealed two examples where changes in methylation and transcription may be linked across conditions. This includes the novel finding that the {Delta}metJ motility defect may be partially driven by hypermethylation of the chemotaxis gene tsr. Together, these data redefine the S. Typhimurium epigenome as a highly stable system that has rare, but important, roles in transcriptional regulation. Incorporating these lessons into future studies will be critical as we progress through the epigenomic era. ImportanceWhile recent breakthroughs have enabled intense study of bacterial DNA modifications, limitations in current work have potentiated a surprisingly untested narrative that DNA methylation is a common mechanism of the bacterial response to environmental conditions. Essentially, whether epigenetic regulation of bacterial transcription is a common, generalizable phenomenon is a critical unanswered question that we address here. We find that most DNA methylation is static in Salmonella enterica serovar Typhimurium, even when the bacteria are grown under dramatically different conditions that cause broad changes in the transcriptome. Further, even when the methylation of individual bases change, these changes generally do not correlate with changes in gene expression. Finally, we demonstrate methods by which data can be stratified in order to identify coupled changes in methylation and gene expression.

microbiology↗

A mapping tool to identify causal mutations from forward genetic screens

A forward genetic screen is one of the best methods for revealing the regulatory functions of genes. In plants, this technique is highly efficient since it is relatively easy to grow and screen the phenotypes of hundreds or thousands of individuals. The cost-efficiency and ease of data production afforded by next-generation sequencing techniques have created new opportunities for mapping induced mutations. The principles of genetic mapping remain the same. However, the details have changed, which allows for rapid mapping of causal mutations. Current mapping tools are often not user-friendly and complicated or require extensive preparation steps. To simplify the process of mapping new mutations, we developed a pipeline that takes next generation sequencing fastq files as input, calls on several well-established and freely available genome-analysis tools, and outputs the most likely causal DNA change(s). The pipeline has been validated in Arabidopsis and can be readily applied to other species.

bioinformatics↗