Orit Rozenblatt–Rosen

This study identifies transcriptional states in mCRPC that mediate treatment resistance, including AR splicing heterogeneity, TGF-β signaling, and immune infiltration patterns.

The paper uses Perturb-CITE-Seq to identify novel immune evasion mechanisms in cancer by analyzing multi-modal single-cell data from patient-derived models.

ExSeq enables multiplexed RNA mapping at nanoscale resolution by expanding biological specimens for in situ sequencing.

The paper uses Perturb-seq to assess the phenotypic impact of somatic variants in cancer, revealing a continuum of gain-of-function KRAS variants.

This study uses single-nucleus and spatial transcriptomics to analyze pancreatic cancer before and after neoadjuvant treatment, revealing changes in cell states and immune infiltration that may inform therapy.

Cumulus is a cloud-based framework for analyzing large-scale sc/snRNA-seq data, improving efficiency and scalability while maintaining result quality.

The paper examines ACE2 expression in kidney cells in relation to RAAS blockers and age/sex, finding age-related differences and associations with drug use.

The paper develops a toolbox for scRNA-Seq and snRNA-Seq of fresh and frozen human tumors, testing it across eight tumor types and optimizing protocols for different tissue characteristics.

The paper uses single-cell RNA-Seq to assess kidney organoid reproducibility across iPSC lines and shows transplantation reduces off-target cells.

The paper profiles the enteric nervous system of human and mouse colon at single-cell resolution, revealing diverse neuron subsets and shared transcriptional programs between species.

The paper introduces a method to multiplex single-nucleus RNA-seq using barcoded antibodies, reducing costs and enabling large-scale studies.

The paper uses single-cell transcriptomics to map hematopoiesis in human fetal liver, identifying cell differentiation trajectories and shifts in hematopoietic composition during development.

The paper was withdrawn due to the inclusion of confidential information about a third party.

Seven single-cell and single-nucleus protocols run side by side on the same cell lines, PBMCs and mouse cortex, analysed through one pipeline: 10x Chromium led the high-throughput methods.

DroNc-Seq enables high-throughput single nucleus RNA-seq analysis of archived brain tissues, demonstrating efficient and unbiased cell type classification in mouse and human samples.