Cold Spring Harbor Laboratory, Cold Spring Harbor, United States; Department of Molecular and Cellular Biology, Stony Brook University, Stony Brook, United States
Jude Kendall
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
Konstantin Volyanskyy
Philips Research North America, Biomedical Informatics, Cambridge, United States
Katherine McNamara
Department of Genetics, Stanford University School of Medicine, Stanford, United States
Hilary Cox
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
Sean D'Italia
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
Frank Ambrosio
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
Michael Riggs
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
Linda Rodgers
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
Anthony Leotta
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
Junyan Song
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, United States
Yong Mao
Philips Research North America, Biomedical Informatics, Cambridge, United States
Jie Wu
Philips Research North America, Biomedical Informatics, Cambridge, United States
Ronak Shah
Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, United States
Rodrigo Gularte-Mérida
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, United States
Kalyani Chadalavada
Molecular Cytogenetics Core Facility, Memorial Sloan Kettering Cancer Center, New York, United States
Gouri Nanjangud
Molecular Cytogenetics Core Facility, Memorial Sloan Kettering Cancer Center, New York, United States
Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, United States
Assaf Gordon
House Gordon Software Company LTD, Calgary, Canada
Christina Curtis
Department of Genetics, Stanford University School of Medicine, Stanford, United States
Alex Krasnitz
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
Nevenka Dimitrova
Philips Research North America, Biomedical Informatics, Cambridge, United States
Lyndsay Harris
Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, United States; Division of Hematology/Oncology, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, United States; Seidman Cancer Center, University Hospitals of Case Western, Cleveland, United States
Michael Wigler
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
James Hicks
Cold Spring Harbor Laboratory, Cold Spring Harbor, United States
Copy number alterations (CNAs) play an important role in molding the genomes of breast cancers and have been shown to be clinically useful for prognostic and therapeutic purposes. However, our knowledge of intra-tumoral genetic heterogeneity of this important class of somatic alterations is limited. Here, using single-cell sequencing, we comprehensively map out the facets of copy number alteration heterogeneity in a cohort of breast cancer tumors. Ou/var/www/html/elife/12-05-2020/backup/r analyses reveal: genetic heterogeneity of non-tumor cells (i.e. stroma) within the tumor mass; the extent to which copy number heterogeneity impacts breast cancer genomes and the importance of both the genomic location and dosage of sub-clonal events; the pervasive nature of genetic heterogeneity of chromosomal amplifications; and the association of copy number heterogeneity with clinical and biological parameters such as polyploidy and estrogen receptor negative status. Our data highlight the power of single-cell genomics in dissecting, in its many forms, intra-tumoral genetic heterogeneity of CNAs, the magnitude with which CNA heterogeneity affects the genomes of breast cancers, and the potential importance of CNA heterogeneity in phenomena such as therapeutic resistance and disease relapse.