Leonard Hartmanis

This study defines AML cell states through single-cell transcriptomics and links them to drug response and microenvironmental interactions, identifying state-specific vulnerabilities and resistance mechanisms.

This paper introduces a compound model for single-cell RNA-seq data without UMIs, using Pearson residuals to improve gene selection and embeddings in Smart-seq2 datasets.

This study investigates the transcriptional dynamics and functions of long non-coding RNAs using single-cell RNA-seq, revealing distinct burst kinetics and cell-state specific roles.

The paper combines morpho-electric and transcriptomic data from mouse motor cortex neurons to show that transcriptomic types within families form continuous morpho-electric landscapes rather than discrete entities.

The paper characterizes cell types and circuit organization within neocortical radial clones using single-cell RNA-sequencing and electrophysiological recordings, finding that clones contain diverse cell types and exhibit specific connectivity patterns.

The paper identifies distinct cell types and circuit organization in layer 4 of primary sensory areas in adult mouse neocortex, challenging the canonical microcircuit model.