Biology subjects

Stone, J.

Publications and source records attributed to Stone, J..

At least 19 recordsLinked to original sources

bioRxiv2026

Matched Plasma and Tissue Proteomics Reveal the Selective Nature of Circulating Biomarkers of Human Aging

Aging is systemic, yet how circulating proteins reflect molecular aging within solid tissues remains unclear. We profiled 5,415 proteins using Olink Explore HT in 178 adults aged 20-87 years, including matched plasma-muscle (n = 56) and plasma-ovary (n = 24) pairs. Plasma-tissue concordance was limited, with 50 muscle and 17 ovarian proteins significantly correlated, indicating that plasma selectively reflects tissue protein abundance. Age-correlated proteins and pathways differed markedly across sex and tissue strata, Including immune/inflammatory signatures in female plasma, vascular and extracellular-matrix pathways in male plasma, and collagen remodeling in the ovary. Expression Variation Analysis further revealed predominantly context-specific age-related changes in protein coordination, including FAS/FADD/TRAIL death-receptor networks in plasma and a TP53-CDKN1A senescence-associated axis in muscle. Exploratory multivariate models identified additional plasma associations with subsets of tissue proteins, including tissue-restricted muscle proteins. Together, these findings define plasma as a selective, context-dependent window into human tissue aging.

systems biology↗

bioRxiv2026

A Stickiness Response System in Rats

The perception of stickiness is known to everyone who interacts with the world. While eating, walking, and navigating diverse environments including crowded subways, forests, fields and lunchrooms, stickiness is a common and old sensation. Responses to sticky stimuli have been measured in animal and human brains; however, precise behavioral responses and the underlying neural mechanisms are not well understood. We applied sticky stimuli to three-week-old rat pups and found the effects vary greatly across the animals body: Sticky stimuli are quickly removed from forepaws and nose, but often evoke only little reaction from hindpaws. When we applied sticky (marshmallow, mochi) and non-sticky stimuli (water, oil) to forepaws, we observed stimulus unspecific behaviors (licking and grooming) with variable response onsets as well as three fast-onset sticky-specific behaviors. Sticky-specific behaviors were exclusively triggered by sticky stimuli and included paw shaking and paw swiping (behaviors presumably aiming at stickiness removal) and paw tapping. In tapping, animals gently tap their forepaws onto each other or on the ground; we wondered if the resulting paw-substrate detachments serve stickiness sensing. Blocking of forepaw skin sensation reduced sticky-specific responses to sticky stimuli compared to control conditions (Ringer injections). To assess central representations of stickiness, we obtained in vivo whole-cell recordings of neurons in forepaw-somatosensory-cortex while presenting sticky and non-sticky stimuli to anesthetized rat pups. While responses were heterogeneous across the population, we observed individual neurons that had significantly different responses to stimulus detachment for sticky and non-sticky stimuli. In summary, we describe a fast-onset, body-part-specific stickiness response system in rats, which is strongly driven by forepaw skin afferents.

neuroscience↗

bioRxiv2026

Nearest Neighbor Parameters for Estimating the Folding Stability of RNA Including Pseudouridine

Nearest neighbor parameters are widely used in software for estimating the conformational stability of an RNA sequence folding into a specific structure. Folding stability for RNA with canonical nucleotides A, C, G, and U has been widely studied, but the same is not true for most modified nucleotides. In this work, we present a comprehensive set of nearest neighbor parameters for estimating the folding stability of RNA including pseudouridine in helical or loop contexts. These parameters are derived from 210 optical melting experiments involving helices with pseudouridine-A and pseudouridine-G pairs and with pseudouridine in loop motifs. The experiments include sequences with pseudouridine and U in the same strand, including U-A and U-G pairs, allowing us to consider the folding stability of sequences with both U and pseudouridine. On average, pseudouridine stabilizes RNA folding compared to U in an analogous motif, although this effect is sequence-context dependent. These parameters improve the modeling of folding stability for RNA secondary structures containing pseudouridine. We demonstrate that these parameters successfully model the secondary structure change for Saccharomyces cerevisiae U2 snRNA when two additional inducible pseudouridines are present. These parameters are freely available and incorporated into the RNAstructure software package. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/725682v1_ufig1.gif" ALT="Figure 1"> View larger version (14K): org.highwire.dtl.DTLVardef@e1167aorg.highwire.dtl.DTLVardef@18ac7f0org.highwire.dtl.DTLVardef@4c909eorg.highwire.dtl.DTLVardef@aa8bca_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2026

Metabolic vulnerability is a target of the antineoplastic effect of breastfeeding.

Lactation is associated with a protective effect against breast and ovarian cancer as well as against cardiovascular diseases suggesting a systemic effect. Here, we show that the serum of lactating mice and breastfeeding mothers have targeted antineoplastic effects, while serum from virgin mice and matched post-partum but non-lactating women do not. The effect is specific to cancer cells expressing Pappalysin-A (PAPP-A), a target that is shared among diseases affected by breastfeeding. RNAseq revealed that lactating serum inhibits mitochondrial function and we found that PAPP-A alone lowers mitochondrial function, suggesting that lactation serum acts by exploiting the metabolic vulnerability of these cancer cells. Using serum proteomics, we identified corticotropin release factor (CRF) as being unique to serum of lactating women and we show that CRF alone mimics the mitochondrial and anti-tumorigenic effect of lactating serum. Blocking the CRF receptor, inhibits the protective effect of lactating serum. Since CRF has shown efficacy in the clinic in other settings, our findings raise the possibility to extend its use to mimic or enhance the protective effect of breastfeeding. SummaryWe show that the serum from lactating women has anti-cancer activity and used multi-omics approaches to identify corticotropin release factor as a peptide able to mimic the effect of lactating serum by targeting cells with low mitochondrial activity.

cancer biology↗

bioRxiv2026

Gene- and domain-aware calibration increases the clinical utility of variant effect predictors

The utility of clinical genetic testing is limited because around 90% of missense variants in ClinVar remain of uncertain clinical significance. Variant effect predictors (VEPs) can score any missense variant, potentially empowering variant classification. Realizing this potential requires calibration to translate predictor scores into evidence. However, genome-wide calibration ignores predictor heterogeneity across genes, causing evidence misassignment. We developed an automated, data-adaptive framework that optimizes two complementary approaches: gene-specific calibration for genes with enough variants for calibration, and domain-aggregate calibration for other disease-associated genes, which groups variants from protein domains with similar predictor score distributions for calibration. Applied to three predictors across 2,769 genes, this framework assigned evidence to 10.6% more variants on average while generally improving evidence accuracy compared to genome-wide calibration. These calibrations and the resulting calibrated computational evidence are available through the PredictMD portal. Our framework substantially increases the clinical utility of VEPs for variant classification.

genetics↗

bioRxiv2026

A scalable approach to resolving variants of uncertain significance

Over 90% of missense variants across [~]4,000 disease-associated genes are variants of uncertain significance (VUS). Experimental variant effect measurements provide critical evidence about pathogenicity and inform disease biology, but most variants lack data and clinical translation has been limited. The Impact of Genomic Variation on Function Consortium generated experimental data for 62,215 variants across ten genes using multiplexed assays and 1,407 variants across 163 genes using arrayed assays, curated 193,139 additional community-generated variant effect measurements across 30 additional genes, and developed automated calibration methods for translating experimental data and variant effect predictions into clinical evidence. To reduce current VUS, we developed a scalable workflow using only experimental and predictive evidence, enabling reclassification of 75% of the 16,115 VUS in these genes as pathogenic or benign with <1% error. To minimize future VUS, we analyzed >90,000 unobserved variants; 62% had enough evidence to be "preclassified" as pathogenic or benign. We validated our data, evidence and classifications using All of Us and created interactive resources to enable clinical use of the calibrated data. Thus, for 40 genes, representing 1% of the clinical genome, we resolve most existing VUS and future variants, illustrating how systematic use of scalable evidence can empower genomic medicine.

genomics↗

bioRxiv2025

Multi-omics Analysis of Human Blood Cells Reveals Unique Features of Age-associated Type2 CD8 Memory T cells

Aging impacts immune function, but the mechanisms driving age-related changes in immune cell subsets remain unclear. To explore age-dependent changes in immune cell populations, we analyzed human peripheral blood mononuclear cells (PBMCs) from a cohort of healthy donors aged 20-82 years using a 36-color spectral flow cytometry panel focused on T cells. We identified a unique population of memory CD8 T cells, which lack CXCR3 and produce a Th2-like cytokine response, accumulate with age. We discovered an age-dependent bias in naive CD8 T cells toward Th2 cytokine production, accompanied by transcriptional and epigenetic changes supporting this phenotype. Moreover, health outcome association analysis linked the accumulation of these unique CXCR3- central memory CD8 T cells to asthma, chronic liver conditions, and type 2 diabetes. Together, our results support the model that an age-dependent drift in epigenetic regulation towards a Th2-like phenotype drives a pathogenic Th2-like immune population.

immunology↗

bioRxiv2025

Metabolic Dysfunction Underlying Fatigue in Multiple Sclerosis: Elevated Lactate and Impaired Post-Exercise Creatine Response in the Anterior Cingulate Cortex

BackgroundMultiple Sclerosis (MS) is characterised by altered brain metabolism and increased chronic perceived fatigue. However, the relationship between brain metabolites, fatigue, and physical task effects in MS remains unclear. This study investigated brain metabolite concentrations (glutamate + glutamine (Glx), lactate, and total creatine (tCr)) in the anterior cingulate cortex (ACC), a region involved in interoceptive processing, before and after a physical task. MethodsTwenty-two people with MS (pwMS) and 22 controls underwent Magnetic Resonance Spectroscopy before and after fatiguing wrist extension tasks. Linear mixed models analysed group differences and exercise-induced metabolite changes. ResultsPwMS showed higher ACC lactate concentrations than controls at rest and post-exercise (F = 7.08, p = 0.011, 95% CI[0.033, 0.228]). No significant Glx differences were observed. A significant group x exercise interaction for tCr occurred (F = 4.63, p = 0.037, 95% CI[0.027, 0.581]), with tCr decreasing post-exercise in controls (t = 3.09, p = 0.02) but remaining stable in pwMS. Changes in lactate correlated moderately with perceived effort in pwMS (r = 0.51, p = 0.04). ConclusionsThis study provides novel evidence of metabolic differences in pwMS, characterised by elevated lactate and stable post-exercise tCr, suggesting altered energy metabolism potentially linked to mitochondrial dysfunction.

neuroscience↗

bioRxiv2025

Maternal IBD-related antibodies are associated with early life gut inflammatory status and microbiota composition: insights from cord blood

PurposeAntibodies in peripheral blood are used to aid in the diagnosis of inflammatory bowel disease (IBD), but their presence in neonatal cord blood and potential effects on early life development remain unknown. MethodsWe measured anti-CBir1, ANCA, anti-OmpC, ASCA IgA, and ASCA IgG levels in the cord blood of babies born to 78 mothers with or without IBD. Their association with fecal calprotectin (FC), and microbiota composition, characterized by 16S rRNA sequencing, was assessed throughout pregnancy and during the first 3 years of life using linear mixed-effects models. ResultsAntibodies were detected in cord blood, with significantly higher levels of anti-CBir1 and ASCA IgG in babies born to mothers with Crohns disease (p = 0.002) and higher abundance of ANCA and anti-OmpC in babies of mothers with ulcerative colitis (p = 0.002), compared to controls. ASCA IgG levels positively correlated with babies FC (p = 0.006), while babies microbiota Shannon diversity was negatively associated with ANCA, anti-OmpC, and ASCA IgA levels (p = 0.003, 0.04, and 0.008, respectively). Romboutsia spp., Citrobacter spp., Pseudomonas spp., Clostridiaceae, Clostridia, and Varibaculum spp. were positively correlated with either or both ANCA and anti-OmpC levels (all multiple testing adjusted q < 0.1). ConclusionOur findings suggest that maternal IBD-associated antibodies cross the placenta barrier and may be associated with intestinal inflammation and imbalanced microbiota colonization. Whether these serological profiles negatively influence the priming of the babys immune system or IBD risk later in life remains to be determined.

immunology↗

bioRxiv2025

Storm in a bottle: An experimental investigation of how extreme precipitation impacts phytoplankton communities

AbstractPhytoplankton community composition in estuaries is tightly linked to freshwater input. While regular freshwater input typically delivers nutrients, fueling phytoplankton growth, the impact of extreme events is less certain. Several observational studies have documented increases in phytoplankton biomass following large precipitation events but cannot to adequately identify the mechanism driving this increase. This paper advances two hypotheses about what drives phytoplankton biomass change following extreme precipitation events. First, the Resident Response Hypothesis (RRH), which suggests local estuarine phytoplankton grow in response to favorable conditions. Alternatively, the Production Introduction Hypothesis (PIH) indicates that large rainfall events introduce new phytoplankton taxa to estuaries during run-off events associated with large storms. These hypotheses were tested at North Inlet Estuary (South Carolina, USA) through a novel experimental design, which utilized multiple treatments to mimic the distinct impacts of large rainfall events on natural phytoplankton communities. Experimental samples were analyzed using photopigments and flow-through imaging microscopy. This allowed a wide assessment of phytoplankton community change both through measuring chlorophyll-a and biomass concentration. Ultimately, there was a strong increase in phytoplankton growth in the storm treatments, primarily identified by diatom pigment increases in response to run-off delivered nutrients, providing support for the RRH. However, biomass concentration analysis of select diatom taxa revealed the introduction of new diatom taxa in run-off water communities. This supports the PIH, suggesting that initial growth from nutrient additions may be due to small cell growth as well as introduction of new taxa.

ecology↗

bioRxiv2024

The proteomic landscape and temporal dynamics of mammalian gastruloid development

Gastrulation is the process by which the early embryo establishes a body plan and primes itself for organogenesis. As gastrulation is challenging to study in vivo, stem cell-derived "gastruloids" have emerged as powerful surrogates. Although transcriptomics and imaging have been applied extensively to such embryo models, the dynamics of their proteomes remains largely unknown. Here, we apply quantitative proteomics to human and mouse gastruloids at four key stages. We leverage these data to map the expression dynamics of protein complexes, and to nominate cooperative proteins. With matched transcriptome and phosphosite data, we investigate global and stage/pathway-specific discordance between the transcriptome and proteome and nominate kinase-substrate relationships based on phosphosite dynamics. Finally, we apply co-regulation network analysis to identify genes linked to the Commander complex whose perturbation leads to morphological defects in gastruloids. Altogether, our work showcases the potential of applying proteomics to embryo models to advance our understanding of mammalian development in ways challenging through transcriptomics alone.

systems biology↗

bioRxiv2024

Rhizaria in the oligotrophic ocean exhibit clear temporal and vertical variability

Recently studies have shown that Rhizaria, a super-group of marine protists, have a large role in pelagic ecosystems. They are unique in that they construct mineral tests out of silica, calcium carbonate, or strontium sulfate. As a consequence, Rhizaria can have large impacts on the oceans cycling of carbon and other elements. However, less is known about Rhizaria ecology or their role in the pelagic food-web. Some taxa, like certain Radiolaria, are mixotrophic, hosting algal symbionts. While other taxa are flux-feeders or even predatory carnivores. Some prior research has suggested that Rhizaria will partition vertically in the water column, likely due to different trophic strategies. However, very few studies have investigated their populations over extended periods of time. In this study, we present data investigating Rhizaria abundance and vertical distribution from over a year of monthly cruises in the Sargasso Sea. This study represents the first quantification of Rhizaria throughout the mesopelagic zone in an oligotrophic system for an extended period of time. We use this data to investigate the hypothesis that Rhizaria taxonomic groups will partition due to trophic mode. We also investigate how their abundance varies in accordance with environmental parameters. Rhizaria abundance was quantified using an Underwater Vision Profiler (UVP5), an in-situ imaging device. Ultimately, we show that different Rhizaria taxa will have unique vertical distribution patterns. Models relating their abundance to environmental parameters have mixed results, yet particle concentration is a common predictive variable, supporting the importance of heterotrophy amongst many taxa.

ecology↗

bioRxiv2023

Microeukaryote metabolism across the western North Atlantic Ocean revealed through autonomous underwater profiling

Protists (microeukaryotes) are key contributors to marine carbon cycling, influencing the transfer of energy to higher trophic levels and the vertical movement of carbon to the ocean interior. Their physiology, ecology, and interactions with the chemical environment are still poorly understood in offshore ecosystems, and especially in the deep ocean. Using the Autonomous Underwater Vehicle (AUV) Clio, the microbial community along a 1,050 km transect in the western North Atlantic Ocean was surveyed at 10-200 m vertical depth increments to capture metabolic microeukaryote signatures spanning a gradient of oligotrophic, continental margin, and productive coastal ecosystems. Plankton biomass was collected along the surface of this transect and across depth features, and taxonomy and metabolic function were examined using a paired metatranscriptomic and metaproteomic approach. A shift in the microeukaryote community composition was observed from the euphotic zone through the mesopelagic and into the bathypelagic ocean. A diverse surface assemblage consisting of haptophytes, stramenopiles, dinoflagellates and ciliates was represented in both the transcript and protein fractions, with foraminifera, radiolaria, picozoa, and discoba proteins enriched at >200 m depth, and fungal proteins emerging in waters >3,000 m depth. In the broad microeukaryote community, nitrogen stress biomarkers were found in productive coastal sites, with phosphorus stress biomarkers in offshore waters where Saharan dust input is thought to supply iron and nitrogen. This multi-omics dataset broadens our understanding of how microeukaryotic taxa and their functional processes are structured along environmental gradients of temperature, light, macronutrients, and trace metals.

ecology↗

bioRxiv2023

Developing a safe 15-hour preservation protocol of donor kidneys using normothermic machine perfusion

IntroductionO_ST_ABSBackgroundC_ST_ABSNormothermic machine perfusion (NMP) offers a superior alternative to existing hypothermic preservation strategies but is currently limited to 1-3 hours. Extending the time a kidney can be sustained using this technology could electivise transplantation, and enable physiological assessments of renal function. We aimed to develop a protocol that allows the safe preservation of donor kidneys for 12 hours using this technique. MethodsPorcine kidneys (n=20) were retrieved and flushed with 1L preservation solution before being stored on ice. Following a cold ischaemic time of 3.5 hours, kidneys were placed onto a NMP circuit and perfused for 12 hours. Renal haemodynamics, biochemistry and urine output were recorded and analysed. At the end of perfusion, kidneys were scored based on the clinical assessment score and their suitability for transplant determined. Biopsies were collected at the end for histological assessment. ResultsAll kidneys were successfully perfused with immediate recordable renal blood flow (RBF). RBF continually improved over the course of the perfusions, peaking at 12 hours, and negatively correlated with intra-renal resistance. Perfusate sodium concentrations remained stable and within physiological parameters. Sodium bicarbonate increased over time with a corresponding decrease in lactate concentrations, demonstrating active renal gluconeogenesis and Cori cycle processes. Urine production began immediately in all kidneys and was sustained throughout, indicating active renal function. Under the clinical perfusion assessment score, all kidneys received a score of 1 and would be considered suitable for transplantation. Histological assessment revealed kidneys were injury free with REMUZZI scores of 0 in all samples. ConclusionWe have developed an NMP protocol that safely preserves donor kidneys for over 15 hours. Successful perfusion was achieved with stable haemodynamics, blood-perfusate biochemistry, and maintained urine output. Importantly, kidneys remained in optimal health, with no evidence of injury. This protocol may enable the electivisation of transplantation, while reducing ischaemic injury associated with static cold storage.

physiology↗

bioRxiv2023

Low-dose inhalation exposure to trichloroethylene induces dopaminergic neurodegeneration in rodents

Trichloroethylene (TCE) is one of the most pervasive environmental contaminants in the world and is associated with Parkinson disease (PD) risk. Experimental models in rodents show that TCE is selectively toxic to dopaminergic neurons at high doses of ingestion, however, TCE is a highly volatile toxicant, and the primary pathway of human exposure is inhalation. As TCE is a highly lipophilic, volatile organic contaminant (VOC), inhalation exposure results in rapid diffusion throughout the brain, avoiding first-pass hepatic metabolism that necessitated high doses to recapitulate exposure conditions observed in human populations. We hypothesized that inhalation of TCE would induce significantly more potent neurodegeneration than ingestion and better recapitulate environmental conditions of vapor intrusion or off gassing from liquid TCE. To this end, we developed a novel, whole-body passive exposure inhalation chamber in which we exposed 10-month-old male and female Lewis rats to 50 ppm TCE (time weighted average, TWA) or filtered room air (control) over 8 weeks. In addition, we exposed 12-month-old male and female C57Bl/6 mice to 100 ppm TCE (TWA) or control over 12 weeks. Both rats and mice exposed to chronic TCE inhalation showed significant degeneration of nigrostriatal dopaminergic neurons as well as motor and gait impairments. TCE exposure also induced accumulation of pSer129-Syn in dopaminergic neurons as well as microglial activation within the substantia nigra of rats. Collectively, these data indicate that TCE inhalation causes highly potent dopaminergic neurodegeneration and recapitulates some of the observed neuropathology associated with PD, providing a future platform for insight into the mechanisms and environmental conditions that influence PD risk from TCE exposure.

neuroscience↗

bioRxiv2022

Maternal cytokine response after SARS-CoV-2 infection during pregnancy

ObjectiveDysregulation of the immune system during pregnancy is associated with adverse pregnancy outcomes. Recent studies report cytokine changes during the acute phase of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We examine whether there is a lasting association between SARS-CoV-2 infection during pregnancy and peripheral blood cytokine levels. Study designWe conducted a case-control study at the Mount Sinai health system in NYC including 100 SARS-CoV-2 IgG antibody positive people matched to 100 SARS-CoV-2 IgG antibody negative people on age, race/ethnicity, parity, and insurance status. Blood samples were collected at a median gestational age of 34 weeks. Levels of 14 cytokines were measured. ResultsIndividual cytokine levels and cytokine cluster Eigenvalues did not differ significantly between groups, indicating no persisting maternal cytokine changes after SARS-CoV-2 infection during pregnancy. ConclusionOur findings suggest that the acute inflammatory response after SARS-CoV-2 infection may be restored to normal values during pregnancy.

immunology↗

bioRxiv2021

MaveDB v2: a curated community database with over three million variant effects from multiplexed functional assays

A central problem in genomics is understanding the effect of individual DNA variants. Multiplexed Assays of Variant Effect (MAVEs) can help address this challenge by measuring all possible single nucleotide variant effects in a gene or regulatory sequence simultaneously. Here we describe MaveDB v2, which has become the database of record for MAVEs. MaveDB now contains a large fraction of published studies, comprising over two hundred datasets and three million variant effect measurements. We created tools and APIs to streamline data submission and access, transforming MaveDB into a hub for the analysis and dissemination of these impactful datasets.

genomics↗

bioRxiv2021

#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol

We seek to completely revise current models of airborne transmission of respiratory viruses by providing never-before-seen atomic-level views of the SARS-CoV-2 virus within a respiratory aerosol. Our work dramatically extends the capabilities of multiscale computational microscopy to address the significant gaps that exist in current experimental methods, which are limited in their ability to interrogate aerosols at the atomic/molecular level and thus ob-scure our understanding of airborne transmission. We demonstrate how our integrated data-driven platform provides a new way of exploring the composition, structure, and dynamics of aerosols and aerosolized viruses, while driving simulation method development along several important axes. We present a series of initial scientific discoveries for the SARS-CoV-2 Delta variant, noting that the full scientific impact of this work has yet to be realized. ACM Reference FormatAbigail Dommer1{dagger}, Lorenzo Casalino1{dagger}, Fiona Kearns1{dagger}, Mia Rosenfeld1, Nicholas Wauer1, Surl-Hee Ahn1, John Russo,2 Sofia Oliveira3, Clare Morris1, AnthonyBogetti4, AndaTrifan5,6, Alexander Brace5,7, TerraSztain1,8, Austin Clyde5,7, Heng Ma5, Chakra Chennubhotla4, Hyungro Lee9, Matteo Turilli9, Syma Khalid10, Teresa Tamayo-Mendoza11, Matthew Welborn11, Anders Christensen11, Daniel G. A. Smith11, Zhuoran Qiao12, Sai Krishna Sirumalla11, Michael OConnor11, Frederick Manby11, Anima Anandkumar12,13, David Hardy6, James Phillips6, Abraham Stern13, Josh Romero13, David Clark13, Mitchell Dorrell14, Tom Maiden14, Lei Huang15, John McCalpin15, Christo- pherWoods3, Alan Gray13, MattWilliams3, Bryan Barker16, HarindaRajapaksha16, Richard Pitts16, Tom Gibbs13, John Stone6, Daniel Zuckerman2*, Adrian Mulholland3*, Thomas MillerIII11,12*, ShantenuJha9*, Arvind Ramanathan5*, Lillian Chong4*, Rommie Amaro1*. 2021. #COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy ofDeltaSARS-CoV-2 in a Respiratory Aerosol. In Supercomputing 21: International Conference for High Perfor-mance Computing, Networking, Storage, and Analysis. ACM, New York, NY, USA, 14 pages. https://doi.org/finalDOI

biophysics↗