Nature Communications (Nov 2021)
Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses
- Humberto Contreras-Trujillo,
- Jiya Eerdeng,
- Samir Akre,
- Du Jiang,
- Jorge Contreras,
- Basia Gala,
- Mary C. Vergel-Rodriguez,
- Yeachan Lee,
- Aparna Jorapur,
- Areen Andreasian,
- Lisa Harton,
- Charles S. Bramlett,
- Anna Nogalska,
- Gang Xiao,
- Jae-Woong Lee,
- Lai N. Chan,
- Markus Müschen,
- Akil A. Merchant,
- Rong Lu
Affiliations
- Humberto Contreras-Trujillo
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Jiya Eerdeng
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Samir Akre
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Du Jiang
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Jorge Contreras
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Basia Gala
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Mary C. Vergel-Rodriguez
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Yeachan Lee
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Aparna Jorapur
- Division of Hematology, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California
- Areen Andreasian
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Lisa Harton
- Division of Hematology, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California
- Charles S. Bramlett
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Anna Nogalska
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- Gang Xiao
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale University
- Jae-Woong Lee
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale University
- Lai N. Chan
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale University
- Markus Müschen
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale University
- Akil A. Merchant
- Division of Hematology and Cellular Therapy, Cedars-Sinai Medical Center
- Rong Lu
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California
- DOI
- https://doi.org/10.1038/s41467-021-26771-1
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 14
Abstract
DNA barcoding is a promising technology for the simultaneous analysis of genetic and phenotypic heterogeneity. Here, the authors combine DNA barcoding and single-cell RNA-seq to study heterogeneity, progression and response to therapy in B-cell acute lymphoblastic leukaemia patient-derived xenografts.
