Single-cell transcriptional atlas of human breast cancers and model systems

Julia E. Altman; Amy L. Olex; Emily K. Zboril; Carson J.Walker; David C. Boyd; Rachel K. Myrick; Nicole S. Hairr; Jennifer E. Koblinski; Madhavi Puchalapalli; Bin Hu; Mikhail G. Dozmorov; X. Steven Chen; Yunshun Chen; CharlesM. Perou; Brian D. Lehmann; Jane E. Visvader; J. Chuck Harrell

doi:10.1002/ctm2.70044

Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (10) : e70044 DOI: 10.1002/ctm2.70044

RESEARCH ARTICLE

Single-cell transcriptional atlas of human breast cancers and model systems

Author information +

¹. Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA

². Department of Pathology, Virginia Commonwealth University, Richmond, Virginia, USA

³. C. Kenneth and Diane Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, Virginia, USA

⁴. Department of Biochemistry, Virginia Commonwealth University, Richmond, Virginia, USA

⁵. Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA

⁶. Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA

⁷. Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA

⁸. Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA

⁹. Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia

¹⁰. Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia

¹¹. Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA

¹². Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA

¹³. Center for Pharmaceutical Engineering, Virginia Commonwealth University, Richmond, Virginia, USA

jcharrell@vcu.edu

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Abstract

	•Patient-derived xenografts models more closely resemble patient samples in tumour heterogeneity and cell cycle characteristics when compared with cell lines.
	•3D organoid models exhibit differences in metabolic profiles compared to their in vivo counterparts.
	•A valuable multimodel reference dataset that can be useful in elucidating model differences and novel targetable pathways.

Keywords

breast cancer / cellular heterogeneity / model limitations / preclinical research / single-cell RNA sequencing / single-cell transcriptomics / subtype-specific insights / targetable pathways / therapeutic drug efficacy

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Julia E. Altman,Amy L. Olex,Emily K. Zboril,Carson J.Walker,David C. Boyd,Rachel K. Myrick,Nicole S. Hairr,Jennifer E. Koblinski,Madhavi Puchalapalli,Bin Hu,Mikhail G. Dozmorov,X. Steven Chen,Yunshun Chen,CharlesM. Perou,Brian D. Lehmann,Jane E. Visvader,J. Chuck Harrell. Single-cell transcriptional atlas of human breast cancers and model systems. Clinical and Translational Medicine, 2024, 14(10): e70044 DOI:10.1002/ctm2.70044

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2024 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.