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Bailey Marshall

Chan Zuckerberg Initiative (United States)

ORCID: 0009-0005-2344-2260

Publishes on Single-cell and spatial transcriptomics, Cell Image Analysis Techniques, Genomics and Phylogenetic Studies. 14 papers and 527 citations.

14Publications
527Total Citations

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Top publicationsby citations

CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data
CZI Cell Science Program, Shibla Abdulla, Brian D. Aevermann et al.|Nucleic Acids Research|2024
Cited by 296Open Access

Hundreds of millions of single cells have been analyzed using high-throughput transcriptomic methods. The cumulative knowledge within these datasets provides an exciting opportunity for unlocking insights into health and disease at the level of single cells. Meta-analyses that span diverse datasets building on recent advances in large language models and other machine-learning approaches pose exciting new directions to model and extract insight from single-cell data. Despite the promise of these and emerging analytical tools for analyzing large amounts of data, the sheer number of datasets, data models and accessibility remains a challenge. Here, we present CZ CELLxGENE Discover (cellxgene.cziscience.com), a data platform that provides curated and interoperable single-cell data. Available via a free-to-use online data portal, CZ CELLxGENE hosts a growing corpus of community-contributed data of over 93 million unique cells. Curated, standardized and associated with consistent cell-level metadata, this collection of single-cell transcriptomic data is the largest of its kind and growing rapidly via community contributions. A suite of tools and features enables accessibility and reusability of the data via both computational and visual interfaces to allow researchers to explore individual datasets, perform cross-corpus analysis, and run meta-analyses of tens of millions of cells across studies and tissues at the resolution of single cells.

CZ CELL×GENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated data
CZI Single-Cell Biology Program, Shibla Abdulla, Brian D. Aevermann et al.|bioRxiv (Cold Spring Harbor Laboratory)|2023
Cited by 128Open Access

Abstract Hundreds of millions of single cells have been analyzed to date using high throughput transcriptomic methods, thanks to technological advances driving the increasingly rapid generation of single-cell data. This provides an exciting opportunity for unlocking new insights into health and disease, made possible by meta-analysis that span diverse datasets building on recent advances in large language models and other machine learning approaches. Despite the promise of these and emerging analytical tools for analyzing large amounts of data, a major challenge remains the sheer number of datasets and inconsistent format, data models and accessibility. Many datasets are available via unique portals platforms that often lack interoperability. Here, we present CZ CellxGene Discover ( cellxgene.cziscience.com ), a data platform that provides curated and interoperable data. This single-cell data resource, available via a free-to-use online data portal, hosts a growing corpus of community contributed data that spans more than 50 million unique cells. Curated, standardized, and associated with consistent cell-level metadata, this collection of interoperable single-cell transcriptomic data is the largest of its kind. A suite of tools and features enables accessibility and reusability of the data via both computational and visual interfaces to allow researchers to rapidly explore individual datasets and perform cross-corpus analysis. This functionality is enabling meta-analyses of tens of millions of cells across studies and tissues and providing global views of human cells at the resolution of single cells.

Senotherapeutic peptide treatment reduces biological age and senescence burden in human skin models
Cited by 25Open Access

Cellular senescence is known to play a role in age-related skin function deterioration which potentially influences longevity. Here, a two-step phenotypic screening was performed to identify senotherapeutic peptides, leading to the identification of Peptide (Pep) 14. Pep 14 effectively decreased human dermal fibroblast senescence burden induced by Hutchinson-Gilford Progeria Syndrome (HGPS), chronological aging, ultraviolet-B radiation (UVB), and etoposide treatment, without inducing significant toxicity. Pep 14 functions via modulation of PP2A, an understudied holoenzyme that promotes genomic stability and is involved in DNA repair and senescence pathways. At the single-cell level, Pep 14 modulates genes that prevent senescence progression by arresting the cell cycle and enhancing DNA repair, which consequently reduce the number of cells progressing to late senescence. When applied on aged ex vivo skin, Pep 14 promoted a healthy skin phenotype with structural and molecular resemblance to young ex vivo skin, decreased the expression of senescence markers, including SASP, and reduced the DNA methylation age. In summary, this work shows the safe reduction of the biological age of ex vivo human skins by a senomorphic peptide.

Creating a space to #SayHerName: Rhetorical stratification in the networked sphere
Jennifer L. Borda, Bailey Marshall|Quarterly Journal of Speech|2020
Cited by 17

This essay examines #SayHerName as a case study to analyze how circulation of the hashtag both challenged women’s erasure from #BlackLivesMatter discourse and motivated activists to center the stories of Black women killed in police interactions. We introduce the term rhetorical stratification to discern why the #SayHerName hashtag came to matter, and how it remained relevant in the national discourse about police brutality. To do so, we analyze how the #SayHerName movement evolved from the discursive to the material through policy briefs, social media circulation, and citizen journalism, which influenced news framing and initiated greater deliberation about this issue in both the networked public sphere and in local communities. We conclude that this hashtag invitation to digital activists engaged more nuanced perspectives about police brutality and policy reform, influenced the way Black women victims of police violence are covered in the news, and motivated community-based policy proposals addressing necessary changes in local policing.

A Systematic Review of Salt Taste Function and Perception Impairments in Adults with Chronic Kidney Disease
Sze‐Yen Tan, Paridhi Tuli, Giecella Thio et al.|International Journal of Environmental Research and Public Health|2022
Cited by 15Open Access

Individuals with chronic kidney disease (CKD) experience physiological changes that likely impair salt taste function and perception. Sodium restriction is a cornerstone of CKD management but dietary sodium plays an important role in food enjoyment and may interfere with compliance to this intervention. Therefore, confirming that taste deficits are present in CKD will improve our understanding of how taste deficits can affect intake, and inform dietary counselling in the future. A systematic review was conducted. Studies that included adults with CKD and healthy controls, and assessed salt taste sensitivity, perceived intensity, and/or hedonic ratings were included. Study quality was assessed using the Academy of Nutrition and Dietetics Evidence Analysis Library Quality Criteria Checklist: Primary Research. Of the 16 studies, the majority reported decreased salt taste sensitivity, but no consistent differences in intensity or hedonic ratings were observed. Higher recognition thresholds in CKD patients were associated with higher sodium intake, but results should be interpreted with caution as the measures used were subject to error in this population. In conclusion, salt taste sensitivity is decreased in CKD, but intensity and hedonic evaluations appear to be more robust. Given that hedonic assessments are better predictors of intake, and that salt taste preferences can be changed over time, dietary counselling for low-sodium intake is likely to be effective for this population.