Melissa Kramer

This paper develops an ancestrally inclusive patient-derived organoid platform for UCS that captures cancer cell plasticity and identifies therapeutic vulnerabilities.

This study evaluates MALAT1-targeting ASOs in breast cancer using patient-derived organoid models, showing MALAT1's role in alternative splicing, metastasis, and tumor-stroma interactions.

This study characterizes the molecular differences in high-grade endometrial cancer across an ancestrally diverse cohort, identifying ancestry-associated mutations and immune microenvironment differences.

The paper identifies bi-directionally expressed enhancers in maize with domestication signatures using integrated epigenomic and transcriptomic data from multiple tissues and inbred lines.

This study uses long-read whole genome sequencing from family cancer pedigrees to prioritize genetic variants in early-onset cancers, identifying potential disease-causing mutations.

This study uses long-read sequencing to analyze immune and cancer-related gene evolution in bats, finding gene contractions, expansions, and positive selection linked to their unique traits.

The paper presents the genome of the Wollemi pine, revealing ancient transposon activity and insights into its conservation and evolutionary history.

ACME improves targeted nanopore sequencing by increasing enrichment, depth, and read coverage for specific genomic regions.

This study uses long-read sequencing to identify structural variants in breast cancer genomes, showing high accuracy and sensitivity compared to short-read methods.

The paper introduces a probabilistic method based on the birthday model to detect rare disease-related genetic variants in complex disorders, showing its effectiveness in identifying potential causative genes.

The paper uses long-read sequencing to analyze structural variations in the SK-BR-3 breast cancer cell line, revealing complex rearrangements and novel gene fusions.

The paper investigates rare disruptive variants in the DISC1 Interactome and Regulome, finding associations with schizophrenia and cognitive ability in psychiatric patients.

The paper describes a repository of fMRI data assessing inter-individual differences in default mode network activity and reports technical validation of the dataset.

The paper presents de novo genome assemblies of three rice strains, revealing novel gene spaces and structural variations not captured by reference-based resequencing.