Jacinta D. Lucero

The paper creates a single-cell atlas of transcription and chromatin states in the human brain, identifying regulatory programs and linking them to neuropsychiatric disorders.

This study uses single-cell and spatial profiling to identify cellular and molecular drivers of beta cell dysfunction in the pancreas of cystic fibrosis patients.

This study uses single-cell multi-omics to identify cell type-specific regulatory networks and novel therapeutic targets in MASLD.

The paper integrates single-cell multi-omics and 3D genome data from human hearts to identify gene regulatory changes and causal genetic contributors in heart failure.

The paper generates a single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain, identifying methylation patterns and regulatory networks across cell types and brain regions.

The paper constructs a single-cell chromatin accessibility atlas of the human brain, identifies cell-type-specific regulatory elements, and develops models to predict regulatory function of disease risk variants.

The paper identifies gene-CRE pairs in mouse brain cells by integrating single-cell transcriptomes and epigenomes, controlling for gene co-expression.

The paper identifies 188 cell types in the human brain using single-cell DNA methylation and 3D genome data, and develops a tool to predict cell types based on methylation patterns.

This study shows that Dnmt3a knockout in mouse excitatory neurons disrupts synapse maturation and working memory, with partial compensation by H3K27me3.

The paper develops a multi-omic single-nucleus sequencing method and framework to analyze regulatory genome diversity in human cortical cells and link it to disease risk variants.

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

The paper identifies 491,818 candidate cis regulatory elements in adult mouse brain sub-types and links them to target genes and transcriptional regulators involved in various pathways.

The paper creates a comprehensive atlas of mouse primary motor cortex cell types using integrated transcriptomic and epigenomic data from over 600,000 samples.

The paper constructs a DNA methylation atlas of the mouse brain at single-cell resolution, revealing epigenetic diversity and spatial organization of neuronal subtypes.

SnapATAC is a software package for analyzing scATAC-seq data, revealing regulatory elements and transcriptional regulators in mouse brain cells.

This study shows that loss of Dnmt3a or MeCP2 in inhibitory neurons leads to distinct but overlapping neurological and molecular effects, with mCH playing a key role in Rett Syndrome pathogenesis.

This paper introduces snmC-seq2, an improved single-cell DNA methylome profiling method that enhances read mapping, reduces artifacts, and increases throughput and coverage uniformity.