33 results on '"Regev, Aviv"'
Search Results
2. 964 Dynamic immune landscapes during melanoma progression reveal a role for endogenous opioids in driving T cell dysfunction
3. Abstract PR-006: Integrative genomic characterization of therapeutic targets for pancreatic cancer
4. Inherent Limitations of Parameter Estimation of a Tempo-Spatial Field Using an Array of Heterogeneous Sensors
5. Abstract 131: Remodeling of stromal-epithelial interactions in breast cancer progression as inferred from regional and single-cell gene expression analysis
6. Abstract 2506:Smarca4inactivation promotes lineage-specific transformation and early metastatic features in the lung
7. Abstract 94: Multi-compartment reprogramming and spatially-resolved interactions in frozen pancreatic cancer with and without neoadjuvant chemotherapy and radiotherapy at single-cell resolution
8. Abstract PR05: Loss of PRC2 or KMT2D-COMPASS generates two quasi-mesenchymal cell states with distinct metastatic abilities
9. Abstract PR-007: Single-nucleus and spatial transcriptomics of archival pancreatic ductal adenocarcinoma reveals multi-compartment reprogramming after neoadjuvant treatment
10. Abstract PO-019: Deciphering differentiation hierarchies, heritability and plasticity in human gliomas via single-cell multi-omics
11. Abstract 1511: A highly plastic cell state emerges during lung adenocarcinoma evolution
12. Abstract PR08: Leveraging single-cell epigenomics to uncover regulatory programs in lung adenocarcinoma
13. Abstract GS6-05: A joint atlas of single-cell and bulk RNA-seq in metastatic breast cancer allows inference of oncogenic and drug-resistant transcriptional programs in malignant cells and the tumor microenvironment
14. Abstract GS2-02: Acquired activating mutations in RTKs confer endocrine resistance in ER+ metastatic breast cancer through ER-reprogramming, MAPK signaling, and an induced stem-like cell state
15. Abstract A22: Molecular subtypes and resistance programs in pancreatic ductal adenocarcinoma elucidated with single-nucleus RNA-seq
16. Abstract 2101: Targeting the root of cancer persister cells using an expressed barcode library
17. Abstract 3647: Single cell RNA sequencing reveals mitogenic and progenitor gene programs inBRAF-rearranged pilocytic astrocytomas
18. Abstract SY45-04: Development of therapeutic strategies by resolving the tumor ecosystem
19. Abstract 1431: In vivo CRISPR/Cas9 screen of adoptively transferred T cells reveals novel mediators of T cell exhaustion and immunosuppression
20. Abstract 566: Neoantigens from translated unannotated open reading frames in cancer
21. Abstract A082: Single-cell RNA-sequencing of metastatic melanoma identifies a cancer cell-intrinsic program associated with immune checkpoint inhibitor resistance
22. Abstract IA34: Targeting cellular heterogeneity in lung adenocarcinoma
23. Abstract 5631: Personal neoantigen-targeting vaccination generates neoepitope-specific T cell responses in tumors of patients with glioblastoma
24. Abstract 928: Regulatory heterogeneity in glioblastoma multiforme informs novel drug target discovery
25. Abstract 3301: Using a novel single-cell lineage-tracing technique to uncover the mechanisms driving nongenetic cancer relapse
26. Abstract 5387: Novel targeted single-cell TCR sequencing method used for analysis of a T cell infiltrate from a glioblastoma patient
27. Abstract 3037: Dissecting treatment resistance in patients with ovarian cancer and PDX-models using single-cell RNA-sequencing
28. Miniaturizing 3D assay for high-throughput drug and genetic screens for small patient-derived tumor samples (Conference Presentation)
29. Abstract B13: Integrative genomic and transcriptomic analysis of 775 human cancer cell lines reveals tumor-derived immune programs and their regulators
30. Abstract B085: Combining transcriptomic profiling and genome engineering to dissect regulation of tumor immunology
31. Abstract 2173: Robust estimation of mutation burden
32. Abstract 5331: GenomeSpace: An environment for frictionless bioinformatics
33. Representation and simulation of biochemical processes using the π-calculus process algebra.
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