Nika Iremadze

The paper investigates how extrachromosomal DNA (ecDNA) inheritance mechanisms influence cancer evolution through mitotic segregation and micronuclei formation.

The paper develops RoboATAC, an automated ATAC-seq method, to study how TF dosage affects chromatin accessibility and gene expression, finding that DNA sequence predicts dosage sensitivity and nucleosome positioning patterns vary by TF.

The paper describes a comprehensive genomic dataset from a tumor-normal pair with broad consent, generated using multiple sequencing technologies for benchmarking somatic variant detection.

The paper uses Perturb-seq to systematically identify signaling regulator targets across multiple cell lines and contexts, introducing Mixscale to improve analysis and infer pathway activation changes.

The paper introduces sciMETv3, a high-throughput single-cell DNA methylation profiling method, achieving 100-fold higher cell throughput and compatibility with multimodal assays.

The paper performs genome-scale Perturb-seq to map genotype-phenotype relationships, uncovering new gene functions and stress-specific mitochondrial regulation.

The paper uses ultra high-throughput methylation sequencing to study DNA methylation changes during colorectal cancer progression from normal tissue to adenocarcinoma.

The paper benchmarks a new low-cost sequencing by synthesis method for scRNA-seq, showing comparable results to existing technologies and enabling cost-effective large-scale applications.