Biology subjects

Drake, R. S.

Publications and source records attributed to Drake, R. S..

6 recordsLinked to original sources

bioRxiv2026

Microbial Communities in Cave Waters Across Karst Regions of Virginia

Karst groundwater supplies in Virginia are relied on to varying degrees for domestic, agricultural, and municipal water supplies. Further, Virginian caves harbor an estimated 200 endemic invertebrate species. The microbial occupants of Virginias karst aquifers are largely undescribed; characterizing them promises to inform both the scientific description of these systems and the management of a critical water resource. Karst aquifers are heterogeneous, and much of the water moving through them cannot be reached directly; we profiled cave waters both because cave passages offer direct access to active groundwater and because cave water specifically is relied upon by endemic invertebrate species living in caves. Using 16S rRNA sequencing, we characterized aquatic microbial communities in eight Virginia caves, across Virginias four major karst regions. We identified 3,899 unique amplicon sequence variants (ASVs) and found that caves hosted diverse microbial assemblages that differed markedly among sampled sites. These baseline data provide a starting point for future work to understand how seasonal cycles, weather events, and surface disturbances affect the microbial communities present in cave waters and the cave-endemic invertebrates that depend on these waters.

microbiology↗

bioRxiv2026

CD8+ T cells and Humoral Immunity Influence the Development of Antibody-Dependent Enhancement: Implications for Vaccine Design

Dengue virus (DENV) infection is a major and growing global health threat. The development of a safe and effective vaccine regardless of prior dengue immunity remains an unmet need. Virus-specific antibodies typically limit viral replication. In contrast, low-to-intermediate dengue-specific antibody titers can enhance viral replication and increase disease severity--a phenomenon known as antibody-dependent enhancement (ADE). ADE complicates dengue vaccine development; signals of ADE were observed in the CYD-TDV (Dengvaxia) vaccine trials but have not yet been reported for trials of TAK-003 (Qdenga). To better understand how prior immunity influences dengue infection outcomes, we developed a mechanistic within-host model of acute dengue infection dynamics that incorporates both humoral immunity and CD8+ T cells. Model simulations predict that severe disease is most likely when dengue-specific antibody titers are intermediate and dengue-specific CD8+ T-cell immunity is low at the time of infection. In our simulations, increasing pre-infection levels of CD8+ T-cell immunity reduces disease severity in a dose-dependent manner and can mitigate ADE. Our results suggest a mechanistic interaction between antibody levels and CD8+ T-cell immunity that may influence whether enhanced viral replication leads to severe disease. The model provides a possible explanation for why ADE is frequently observed in infections of nonhuman primates following passive antibody transfer, yet is less common during secondary infections in humans with memory CD8+ T cells. These findings may help interpret differences in reported clinical outcomes of dengue vaccine trials and highlight the importance of considering CD8+ T-cell responses in the design of future dengue vaccines. ImportanceVaccines, including those against dengue viruses, are typically designed to elicit humoral (antibody-mediated) immunity, as antibody titers are commonly used as primary correlates of protection. Because CD8+ T-cell responses are not usually primary correlates and are more challenging to measure, they have received comparatively less attention. For viruses such as dengue, however, antibodies can exacerbate disease severity through antibody-dependent enhancement (ADE), underscoring the need to understand how humoral and cellular immunity interact. Here, we present a mechanistic model showing that severe dengue disease arises not only from low-to-intermediate antibody levels but also from insufficient CD8+ T-cell immunity at the time of infection. The model predicts that CD8+ T-cell responses can mitigate ADE-associated pathology and may help explain the differing levels of protection observed for CYD-TDV and TAK-003 vaccines. These findings suggest that evaluating CD8+ T-cell responses alongside antibody titers may be important for assessing vaccine safety and protection.

immunology↗

bioRxiv2024

Impact of variants and vaccination on nasal immunity across three waves of SARS-CoV-2

SARS-CoV-2 infection and COVID-19 disease vary with respect to viral variant and host vaccination status. However, how vaccines, emergent variants, and their intersection shift host responses in the human nasal mucosa remains uncharacterized. We and others have shown during the first SARS-CoV-2 wave that a muted nasal epithelial interferon response at the site of infection underlies severe COVID-19. We sought to further understand how upper airway cell subsets and states associate with COVID-19 phenotypes across viral variants and vaccination. Here, we integrated new single-cell RNA-sequencing (scRNA-seq) data from nasopharyngeal swabs collected from 67 adult participants during the Delta and Omicron waves with data from 45 participants collected during the original (Ancestral) wave in our prior study. By characterizing detailed cellular states during infection, we identified changes in epithelial and immune cells that are both unique and shared across variants and vaccination status. By defining SARS-CoV-2 RNA+ cells for each variant, we found that Delta samples had a marked increase in the abundance of viral RNA+ cells. Despite this dramatic increase in viral RNA+ cells in Delta cases, the nasal cellular compositions of Delta and Omicron exhibit greater similarity, driven partly by myeloid subsets, than the Ancestral landscapes associated with specialized epithelial subsets. We found that vaccination prior to infection was surprisingly associated with nasal macrophage recruitment and activation rather than adaptive immune cell signatures. While patients with severe disease caused by Ancestral or Delta variants had muted interferon responses, Omicron-infected patients had equivalent interferon responses regardless of disease severity. Our study defines the evolution of cellular targets and signatures of disease severity in the upper respiratory tract across SARS-CoV-2 variants, and suggests that intramuscular vaccines shape myeloid responses in the nasal mucosa upon SARS-CoV-2 infection.

immunology↗

bioRxiv2021

Cellular and transcriptional diversity over the course of human lactation

Human breast milk is a dynamic fluid that contains millions of cells, but their identities and phenotypic properties are poorly understood. We used single-cell RNA-seq (scRNA-seq) to characterize the transcriptomes of cells from human breast milk (hBM) across lactational time from 3 to 632 days postpartum in 15 donors. We find that the majority of cells in human breast milk are lactocytes, a specialized epithelial subset, and cell type frequencies shift over the course of lactation yielding greater epithelial diversity at later points. Analysis of lactocytes reveals a continuum of cell states characterized by transcriptional changes in hormone, growth factor, and milk production related pathways. Generalized additive models suggest that one sub-cluster, LALBAlow epithelial cells, increase as a function of time postpartum, daycare attendance, and the use of hormonal birth control. We identify several sub-clusters of macrophages in hBM that are enriched for tolerogenic functions, possibly playing a role in protecting the mammary gland during lactation. Our description of the cellular components of breast milk, their association with maternal-infant dyad metadata and quantification of alterations at the gene and pathways levels provides the first detailed longitudinal picture of human breast milk cells across lactational time. This work paves the way for future investigations of how a potential division of cellular labor and differential hormone regulation might be leveraged therapeutically to support healthy lactation and potentially aid in milk production.

genomics↗

bioRxiv2021

Impaired local intrinsic immunity to SARS-CoV-2 infection in severe COVID-19

Infection with SARS-CoV-2, the virus that causes COVID-19, can lead to severe lower respiratory illness including pneumonia and acute respiratory distress syndrome, which can result in profound morbidity and mortality. However, many infected individuals are either asymptomatic or have isolated upper respiratory symptoms, which suggests that the upper airways represent the initial site of viral infection, and that some individuals are able to largely constrain viral pathology to the nasal and oropharyngeal tissues. Which cell types in the human nasopharynx are the primary targets of SARS-CoV-2 infection, and how infection influences the cellular organization of the respiratory epithelium remains incompletely understood. Here, we present nasopharyngeal samples from a cohort of 35 individuals with COVID-19, representing a wide spectrum of disease states from ambulatory to critically ill, as well as 23 healthy and intubated patients without COVID-19. Using standard nasopharyngeal swabs, we collected viable cells and performed single-cell RNA-sequencing (scRNA-seq), simultaneously profiling both host and viral RNA. We find that following infection with SARS-CoV-2, the upper respiratory epithelium undergoes massive reorganization: secretory cells diversify and expand, and mature epithelial cells are preferentially lost. Further, we observe evidence for deuterosomal cell and immature ciliated cell expansion, potentially representing active repopulation of lost ciliated cells through coupled secretory cell differentiation. Epithelial cells from participants with mild/moderate COVID-19 show extensive induction of genes associated with anti-viral and type I interferon responses. In contrast, cells from participants with severe lower respiratory symptoms appear globally muted in their anti-viral capacity, despite substantially higher local inflammatory myeloid populations and equivalent nasal viral loads. This suggests an essential role for intrinsic, local epithelial immunity in curbing and constraining viral-induced pathology. Using a custom computational pipeline, we characterized cell-associated SARS-CoV-2 RNA and identified rare cells with RNA intermediates strongly suggestive of active replication. Both within and across individuals, we find remarkable diversity and heterogeneity among SARS-CoV-2 RNA+ host cells, including developing/immature and interferon-responsive ciliated cells, KRT13+ "hillock"-like cells, and unique subsets of secretory, goblet, and squamous cells. Finally, SARS-CoV-2 RNA+ cells, as compared to uninfected bystanders, are enriched for genes involved in susceptibility (e.g., CTSL, TMPRSS2) or response (e.g., MX1, IFITM3, EIF2AK2) to infection. Together, this work defines both protective and detrimental host responses to SARS-CoV-2, determines the direct viral targets of infection, and suggests that failed anti-viral epithelial immunity in the nasal mucosa may underlie the progression to severe COVID-19.

immunology↗

bioRxiv2018

Linking single-cell measurements of mass, growth rate, and gene expression

We introduce a microfluidic platform that enables single-cell mass and growth rate measurements upstream of single-cell RNA-sequencing (scRNA-seq) to generate paired single-cell biophysical and transcriptional data sets. Biophysical measurements are collected with a serial suspended microchannel resonator platform (sSMR) that utilizes automated fluidic state switching to load individual cells at fixed intervals, achieving a throughput of 120 cells per hour. Each single-cell is subsequently captured downstream for linked molecular analysis using an automated collection system. From linked measurements of a murine leukemia (L1210) and pro-B cell line (FL5.12), we identify gene expression signatures that correlate significantly with cell mass and growth rate. In particular, we find that both cell lines display a cell-cycle signature that correlates with cell mass, with early and late cell-cycle signatures significantly enriched amongst genes with negative and positive correlations with mass, respectively. FL5.12 cells also show a significant correlation between single-cell growth efficiency and a G1-S transition signature, providing additional transcriptional evidence for a phenomenon previously observed through biophysical measurements alone. Importantly, the throughput and speed of our platform allows for the characterization of phenotypes in dynamic cellular systems. As a proof-of-principle, we apply our system to characterize activated murine CD8+ T cells and uncover two unique features of CD8+ T cells as they become proliferative in response to activation: i) the level of coordination between cell cycle gene expression and cell mass increases, and ii) translation-related gene expression increases and shows a correlation with single-cell growth efficiency. Overall, our approach provides a new means of characterizing the transcriptional mechanisms of normal and dysfunctional cellular mass and growth rate regulation across a range of biological contexts.

bioengineering↗