Tamar Geiger

Research interests

Publications

• Spatiotemporal Proteomic Analysis of Stress Granule Disassembly Using APEX Reveals Regulation by SUMOylation and Links to ALS Pathogenesis

  Molecular Cell · 2020 · 10.1016/j.molcel.2020.10.032

• Anti-tumour immunity induces aberrant peptide presentation in melanoma

  Nature · 2020 · 10.1038/s41586-020-03054-1

• Proteomics of Melanoma Response to Immunotherapy Reveals Mitochondrial Dependence

  Cell · 2019 · https://doi.org/10.1016/j.cell.2019.08.012

• Systematic Detection of Amino Acid Substitutions in Proteomes Reveals Mechanistic Basis of Ribosome Errors and Selection for Translation Fidelity

  Molecular Cell · 2019 · 10.1016/j.molcel.2019.06.041

• Reduced changes in protein compared to mRNA levels across non-proliferating tissues

  BMC Genomics · 2017 · 10.1186/s12864-017-3683-9

• The Perseus computational platform for comprehensive analysis of (prote)omics data

  Nature Methods · 2016 · https://doi.org/10.1038/nmeth.3901

• Proteomic maps of breast cancer subtypes

  Nature Communications · 2016 · 10.1038/ncomms10259

• Tumor macrophages are pivotal constructors of tumor collagenous matrix

  The Journal of Experimental Medicine · 2016 · 10.1084/jem.20151193

• Lam6 Regulates the Extent of Contacts between Organelles

  Cell Reports · 2015 · 10.1016/j.celrep.2015.06.022

• Senescent cells communicate via intercellular protein transfer

  Genes & Development · 2015 · 10.1101/gad.259341.115

• Tumor-Derived Osteopontin Reprograms Normal Mammary Fibroblasts to Promote Inflammation and Tumor Growth in Breast Cancer

  Cancer Research · 2015 · 10.1158/0008-5472.can-14-1990

• The Proteome of Primary Prostate Cancer

  European Urology · 2015 · 10.1016/j.eururo.2015.10.053

• Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality

  Cell · 2014 · 10.1016/j.cell.2014.07.027

• A Dynamic Interface between Vacuoles and Mitochondria in Yeast

  Developmental Cell · 2014 · https://doi.org/10.1016/j.devcel.2014.06.007

• Initial Quantitative Proteomic Map of 28 Mouse Tissues Using the SILAC Mouse

  Molecular & Cellular Proteomics · 2013 · 10.1074/mcp.m112.024919

• Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins

  Molecular & Cellular Proteomics · 2012 · https://doi.org/10.1074/mcp.m111.014050

• Analysis of High Accuracy, Quantitative Proteomics Data in the MaxQB Database

  Molecular & Cellular Proteomics · 2012 · 10.1074/mcp.m111.014068

• Proteomic Portrait of Human Breast Cancer Progression Identifies Novel Prognostic Markers

  Cancer Research · 2012 · 10.1158/0008-5472.can-11-3711

• Deep and Highly Sensitive Proteome Coverage by LC-MS/MS Without Prefractionation

  Molecular & Cellular Proteomics · 2011 · 10.1074/mcp.m110.003699

• Use of stable isotope labeling by amino acids in cell culture as a spike-in standard in quantitative proteomics

  Nature Protocols · 2011 · 10.1038/nprot.2010.192

• Deep proteome and transcriptome mapping of a human cancer cell line

  Molecular Systems Biology · 2011 · https://doi.org/10.1038/msb.2011.81

• Proteomics on an Orbitrap Benchtop Mass Spectrometer Using All-ion Fragmentation

  Molecular & Cellular Proteomics · 2010 · 10.1074/mcp.m110.001537

• Defining the transcriptome and proteome in three functionally different human cell lines

  Molecular Systems Biology · 2010 · 10.1038/msb.2010.106

• Proteomic Changes Resulting from Gene Copy Number Variations in Cancer Cells

  PLoS Genetics · 2010 · 10.1371/journal.pgen.1001090

• Super-SILAC mix for quantitative proteomics of human tumor tissue

  Nature Methods · 2010 · https://doi.org/10.1038/nmeth.1446

Current projects

No projects listed.