14 Works
Additional file 3 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 3. Data file of in vitro experiments in the 4T1 system. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values, G (Giα) values and % of subpopulations out of the entire population.
Additional file 8 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 8. Data file of in vivo experiments in BR45 PDX mice 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
Additional file 1 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 1. Provides the details for the TNBC models and single cell analyses used in the study.
Additional file 4 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 4. Data file of in vivo experiments in the 4T1 system 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
Additional file 5 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 5. Data file of in vivo experiments in the 4T1 system 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
Additional file 8 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 8. Data file of in vivo experiments in BR45 PDX mice 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
Additional file 1 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 1. Provides the details for the TNBC models and single cell analyses used in the study.
Additional file 5 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 5. Data file of in vivo experiments in the 4T1 system 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
Additional file 6 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 6. Data file of in vitro experiments in BR45 cells 6 and 14 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
Additional file 6 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 6. Data file of in vitro experiments in BR45 cells 6 and 14 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
Additional file 7 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 7. Data file of in vivo experiments in BR45 PDX mice 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
Additional file 7 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 7. Data file of in vivo experiments in BR45 PDX mice 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
Additional file 3 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 3. Data file of in vitro experiments in the 4T1 system. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values, G (Giα) values and % of subpopulations out of the entire population.
Additional file 4 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, Shira Stefansky, Sangita Roy Chowdhury, Solomon Oguche, Tamar Peretz-Yablonsky, Avital Granit, Zvi Granot, Ittai Ben-Porath, Kim Sheva, Jon Feldman, Noa E. Cohen, Amichay Meirovitz & Nataly Kravchenko-Balasha
Additional file 4. Data file of in vivo experiments in the 4T1 system 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.