Publications by authors named "Kianna Billman"
Article Synopsis
- * The researchers used published datasets to show that the gene expression linked to MS1 is present in severe COVID-19 cases and can be replicated in lab models using healthy hematopoietic stem cells.
- * They found that cytokines IL-6 and IL-10 in patient plasma promote the development of myeloid cells and are essential for activating the MS1 gene program, indicating a role for these cytokines in immune responses during severe infections.
Article Synopsis
- * An expanded state of CD14+ monocytes (MS1) linked to poor outcomes in sepsis and COVID-19 was identified, suggesting a potential role in disease prognosis.
- * The research shows that severe infections trigger systemic cytokines (IL-6 and IL-10) that lead to the expansion of immunosuppressive MS1 cells, indicating their importance in understanding and managing sepsis.
Dysregulation of the immune response to bacterial infection can lead to sepsis, a condition with high mortality. Multiple whole-blood gene-expression studies have defined sepsis-associated molecular signatures, but have not resolved changes in transcriptional states of specific cell types. Here, we used single-cell RNA-sequencing to profile the blood of people with sepsis (n = 29) across three clinical cohorts with corresponding controls (n = 36).
View Article and Find Full Text PDFProfiling multiple omic layers in a single cell enables the discovery and analysis of biological phenomena that are not apparent from analysis of mono-omic data. While methods for multi-omic profiling have been reported, their adoption has been limited due to high cost and complex workflows. Here, we present a simple method for joint profiling of gene expression and chromatin accessibility in tens to hundreds of single cells.
View Article and Find Full Text PDFSpecialized immune cell subsets are involved in autoimmune disease, cancer immunity, and infectious disease through a diverse range of functions mediated by overlapping pathways and signals. However, subset-specific responses may not be detectable in analyses of whole blood samples, and no efficient approach for profiling cell subsets at high throughput from small samples is available. We present a low-input microfluidic system for sorting immune cells into subsets and profiling their gene expression.
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