Publications by authors named "K A Palucka"
Background: The microbiome regulates the respiratory epithelium's immunomodulatory functions. To explore how the microbiome's biodiversity affects microbe-epithelial interactions, we screened 58 phylogenetically diverse microbes for their transcriptomic effect on human primary bronchial air-liquid interface (ALI) cell cultures.
Results: We found distinct species- and strain-level differences in host innate immunity and epithelial barrier response.
Aging is the greatest risk factor for breast cancer; however, how age-related cellular and molecular events impact cancer initiation is unknown. In this study, we investigated how aging rewires transcriptomic and epigenomic programs of mouse mammary glands at single-cell resolution, yielding a comprehensive resource for aging and cancer biology. Aged epithelial cells exhibit epigenetic and transcriptional changes in metabolic, pro-inflammatory and cancer-associated genes.
View Article and Find Full Text PDFImmune checkpoint inhibitors have substantial advanced tumor treatment, but their limited benefits and strong responses in only a subset of patients remain challenging. In this study, we explored the immunomodulatory function of contactin-4 (CNTN4). CNTN4 was highly expressed in tumor tissues, and expression impaired the antitumor function of T cells.
View Article and Find Full Text PDFArticle Synopsis
- * Key steps included an initial high-throughput screening with popular LLMs (GPT-4, Claude 3), followed by detailed evaluations with Consensus GPT and expert feedback, ultimately highlighting Glutathione Peroxidase 4 (GPX4) as the top candidate gene.
- * GPX4's association with oxidative stress and diverse cell expression patterns, combined with a rigorous scoring strategy and human validation, positions it as a promising candidate for future biomarker discovery and targeted assays, while further validation remains necessary for broader applications.
Article Synopsis
- The tumor microenvironment (TME) significantly influences tumor growth and treatment response, and new imaging technologies are emerging to study it.
- This study introduces a computational method called CISA, which automatically analyzes and quantifies T-cell interactions with other cells in the TME using multiplex imaging data.
- CISA has been validated with melanoma and breast cancer data, revealing critical correlations between immune synapse formation and patient outcomes, emphasizing its importance in understanding cancer biology and improving treatment strategies.