A5025750338- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Mitochondrial Function and Pathology
- Gene expression and cancer classification
- Metabolism and Genetic Disorders
- Cancer Genomics and Diagnostics
- T-cell and B-cell Immunology
- Adipose Tissue and Metabolism
- Cancer Immunotherapy and Biomarkers
- CRISPR and Genetic Engineering
- Cancer-related molecular mechanisms research
California University of Pennsylvania
2024-2025
University of Pennsylvania
2021-2024
Broad Institute
2019
We report a cellular barcoding strategy, SpaceBar, that enables simultaneous clone tracing and spatial transcriptomics profiling. Our approach uses library of 96 synthetic barcode sequences can be robustly detected by imaging based (seqFISH), delivered such each cell is labeled with combination barcodes. used these barcodes to label melanoma cells in tumor xenograft model profiled both identity gene expression situ . developed scoring metric quantifies how strongly driven intrinsic cues or...
Abstract Cellular responses to environmental stimuli are typically thought be governed by genetically encoded programs. We demonstrate that melanoma cells can form and maintain cellular memories during the acquisition of therapy resistance exhibit characteristics learning dependent on transcription factor AP-1. show exposed a low dose adapt become resistant high dose, demonstrating was not purely selective. The application itself results in encoding transient gene expression into memory this...
Resistance to cancer therapy is driven by both cell-intrinsic and microenvironmental factors. Previous work has revealed that multiple resistant cell fates emerge in melanoma following treatment with targeted that,
ABSTRACT Accurately functioning genetic networks should be responsive to signals but prevent transmission of stochastic bursts expression. Existing data in mammalian cells suggests that such transcriptional “noise” is transmitted by some genes and not others, suggesting noise tunable, perhaps at the expense other signal processing capabilities.However, systematic claims about have been limited inability directly measure transmission. Here we build a mathematical framework capable modeling...