Adam R. Abate

The paper develops a spatial multi-omic method to study lipid dysregulation in Alzheimer's disease across brain regions in mice, identifying region-specific glial metabolic changes.

This study uses DAb-seq to analyze HIV-infected CD4 T cells on ART, revealing subset-specific differences in provirus maintenance and surface protein expression.

The paper identifies a myeloid-mesenchymal crosstalk pathway involving Arg1 and ornithine that drives profibrotic metabolism in lung fibrosis.

The paper introduces PAMA-seq, a method for cross-domain microbial taxonomic profiling, validated on synthetic and real samples, showing improved accuracy and efficiency over existing methods.

This paper introduces a high-throughput method for screening antibody neutralization using droplet arrays, demonstrating scalable functional antibody data collection against viral diseases.

This paper introduces a microfluidic platform that deterministically pairs and sorts droplets containing cells, achieving high recovery of target cell pairs for studying cell crosstalk.

The paper introduces EASi-seq, a method for single-cell sequencing of microbes using a commercial platform, enabling detailed microbiome atlases and improved bioinformatic analysis.

The paper introduces PIP-seq, a microfluidics-free method for single-cell RNA sequencing that enables high-throughput, scalable, and flexible processing of samples.

StrainFacts enables scalable strain inference in metagenomic data, showing comparable accuracy to intensive tools and revealing strain diversity patterns in human stool samples.

This study examines the age-dependent effects of rotenone exposure on mice, showing increased neurological susceptibility in younger mice with seizures and cellular changes in the hippocampus.

This paper introduces a method for sequencing ultra-rare targets with compound nucleic acid cytometry, achieving high enrichment of long molecules with minimal prior information.

The paper presents a method to perform droplet digital PCR without microfluidics, enabling accurate quantitation of SARS-CoV-2 sequences using bulk analysis.

This paper introduces a microfluidic method to sequence HIV proviruses and their integration sites, achieving >90% capture and sequencing of paired genomes from treated patients.