Mark A. Novotny

The paper analyzes the cochlear transcriptome of an outbred mouse population to identify cell-type specific changes associated with age-related hearing loss.

NS-Forest identifies minimal marker gene combinations for cell type determination from scRNA-seq data, revealing key roles of signaling and non-coding RNAs in neuronal identity.

The paper generates a genome and single nuclei transcriptome of Lemna minuta to trace all developmental and terminal cell types across the entire plant.

The paper identifies von Economo neurons as a regionally specialized subtype of extratelencephalic-projecting excitatory neurons using single nucleus RNA-sequencing and cross-species comparisons.

The paper identifies a novel human cortical GABAergic interneuron subtype with unique transcriptomic, morphological, and physiological features not observed in rodents.

The paper reviews how single cell RNA sequencing is identifying new human cell types and proposes a machine learning method to improve cell type definitions in the Cell Ontology.