Ashleigh Lister

EISCA and EISTA are pipelines for single-cell and spatial transcriptomics analysis that provide standardized, modular workflows for data processing and downstream analysis.

This study maps the telencephalon transcriptome of cleaner wrasse to identify conserved neural cell populations and gene networks involved in social behavior.

The paper shows that nitrogen responses in plant roots are cell-type specific and evolve across species, with NLP7 proteins modulating these responses in Arabidopsis and tomato.

This study uses spatial transcriptomics to analyze gene expression gradients in wheat inflorescences, revealing dynamic spatio-temporal organization along the apical-basal axis.

The paper shows that plant progeny inherit maternal climate adaptation through hormone transport, specifically via temperature-dependent ABA signaling during seed development.

This study compares long-read single-cell sequencing platforms, identifying common limitations and demonstrating their utility for isoform-resolved analyses.

The paper constructs a spatiotemporal atlas of wheat inflorescence development using single-cell omics, identifying cell types, genes, and chromatin regions involved in spikelet and floret formation.

The paper generates a molecular map of the avian trunk and tailbud using single-cell and spatial transcriptomics, identifying cell lineages and spatially restricted genes.

The paper evaluates de novo genome assembly methods for a low-quality non-model mammal sample, finding that more data types do not always improve assembly quality.

This paper introduces Grid-seq, a cost-effective spatial transcriptomics method for plants, and demonstrates its ability to detect immune responses in Arabidopsis thaliana to flagellin-22.

This paper compares genome assembly technologies for the potato species S. verrucosum, evaluating their completeness, accuracy, cost, and computational requirements.