Lyle W. Ostrow

This paper evaluates combining expression-based surrogate variables and genotype-based principal components in differential expression analysis, finding the combined approach improves replicability and biological recall in ALS datasets.

The paper identifies microglia subsets in ALS brain and spinal cord, finding an undifferentiated phenotype and enrichment of interferon response microglia in aggressive cases.

The paper identifies TDP43 aggregation at ER-exit sites as a cause of impaired ER-to-Golgi transport in ALS.

This paper introduces a new drug-like small molecule series targeting PDI in a multi-protein complex for ALS treatment, showing activity in cellular and animal models.

The paper identifies rare somatic mutations in sporadic ALS and FTD cases, suggesting they contribute to disease and widespread neurodegeneration.

The paper compares TDP-43's transcriptional and splicing effects in muscle and neuronal cells, showing tissue-specific roles in disease.

The paper uses unsupervised machine learning to identify three molecular subtypes in ALS cortex samples, associated with oxidative stress, retrotransposon activation, and glial activation.

MetroNome integrates human genotypic and phenotypic data across diseases for hypothesis generation and analysis.