David R. Goodlett

Informatics Methods to Enhance Bacterial Peptide Detection

The paper develops and benchmarks an in silico spectral library workflow to detect low-abundance bacterial peptides in human-dominated samples, finding it has complementary performance to conventional database searches.

Methionine regulates antitumor function of CD8⁺ T cells through polyamine synthesis

This study shows that methionine restriction affects CD8+ T cell function through polyamine synthesis, but does not improve antitumor efficacy in vivo.

DMEM and EMEM are suitable surrogate media to mimic host environment and expand leptospiral pathogenesis studies using in vitro tools

This paper identifies DMEM and EMEM as better in vitro media for studying leptospiral pathogenesis compared to EMJH and HAN by mimicking host gene expression profiles.

A Lipidomics-Based Method to Eliminate Negative Urine Culture in General Population

This paper introduces a lipidomics-based method, FLAT, to rapidly identify negative urine cultures in UTI suspects with high accuracy, improving diagnostic efficiency.

Lipid A double bond position determination using ozone and laser-induced dissociation

This study determines the double bond position in Lipid A using ozone treatment on MALDI plates combined with tandem MS.

Cytoplasmic Switch of ARS2 Isoforms Promotes Nonsense-Mediated mRNA Decay and Arsenic Sensitivity

The paper shows that alternative splicing of ARS2 generates cytoplasmic isoforms that switch ARS2's function from inhibiting to promoting nonsense-mediated mRNA decay and enhance arsenic stress response.

The immunopeptidome from a genomic perspective: Establishing immune-relevant regions for cancer vaccine design

The paper develops COD-dipp to map MHC Class I antigens from cancer studies and identifies immune-relevant genomic regions for vaccine design.

Enhanced longitudinal differential expression detection in proteomics with robust reproducibility optimization regression

The paper introduces RolDE, a new differential expression method for longitudinal proteomics data, which outperforms existing methods in handling missing values and reproducibility.