A. Johnston

A Novel Liver Cancer-Selective Histone Deacetylase Inhibitor Is Effective Against Hepatocellular Carcinoma and Induces Durable Responses with Immunotherapy

This paper identifies a novel HDAC inhibitor, STR-V-53, that effectively targets HCC and enhances immunotherapy responses in mouse models.

A 3D in vitro assay to study combined immune cell infiltration and cytotoxicity

This paper introduces a 3D in vitro assay to study immune cell infiltration and cytotoxicity in solid tumors, showing it captures key steps of immune cell interaction with the tumor microenvironment.

Advancing bee conservation in the US: gaps and opportunities in data collection and reporting

This study evaluates data gaps in U.S. wild bee conservation, finding insufficient data for population assessments and highlighting the need for improved data collection and reporting practices.

Indicators of a data-deficient taxa: combining bird and environmental data enhances predictive accuracy of wild bee richness

The paper combines bird and environmental data to improve predictions of wild bee richness in the U.S., showing better accuracy than using either data type alone.

Profiling Dynamic Patterns of Single-cell Motility

This study introduces CaMI, a framework to classify single-cell motility patterns, revealing heterogeneity and dynamics not captured by traditional ensemble methods.

Root System Architecture and Environmental Flux Analysis in Mature Crops using 3D Root Mesocosms

This paper introduces 3D Root Mesocosms for studying root systems and environmental fluxes in mature crops, showing high correlation between digital reconstructions and biomass measurements.

Mismatch between bird species sensitivity and the protection of intact habitats across the Americas

The paper assesses bird species sensitivity to human pressure and finds a mismatch between conservation needs and the coverage of intact protected habitats in the Americas.

Analytical guidelines to increase the value of citizen science data: using eBird data to estimate species occurrence

This study improves species distribution estimates from eBird data by refining data processing and addressing biases, showing that complete checklists and effort covariates enhance model performance.

The challenges of estimating the distribution of flight heights from telemetry or altimetry data

This paper examines errors in flight height data from telemetry and altimetry, showing how improper error handling distorts ecological analyses and recommends state-space models for accurate estimation.

Modeling Avian Full Annual Cycle Distribution and Population Trends with Citizen Science Data

The paper develops a framework to analyze citizen science data and estimate species distribution and abundance across the annual cycle, applied to Wood Thrush using eBird data.

When can we trust population trends? A method for quantifying the effects of sampling interval and duration

This paper quantifies how sampling interval and duration affect confidence in species population trends, finding that significant declines are reliable but insignificant trends require more data.

Finding the signal in the noise of Citizen Science Observations

The paper evaluates how citizen science projects can improve biodiversity monitoring by collecting contextual information to reduce noise and enhance signal accuracy, using eBird as a case study.