Humans

Cameron S. Cowan, Magdalena Renner, Martina De Gennaro, et al. Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution. Cell. 2020;182(6):1623-1640.e34. doi:10.1016/j.cell.2020.08.013

Uwe Marx, Takafumi Akabane, Tommy B. Andersson, et al. Biology-inspired microphysiological systems to advance patient benefit and animal welfare in drug development. ALTEX. 2020;37(3):365-394. doi:10.14573/altex.2001241

S. Vincent Rajkumar. The high cost of prescription drugs: causes and solutions. Blood Cancer Journal. 2020;10(6):71. doi:10.1038/s41408-020-0338-x

Patrick M. Misun, Burçak Yesildag, Felix Forschler, et al. In Vitro Platform for Studying Human Insulin Release Dynamics of Single Pancreatic Islet Microtissues at High Resolution. Advanced Biosystems. 2020;4(3):e1900291. doi:10.1002/adbi.201900291

Eric Vallabh Minikel, Konrad J. Karczewski, Hilary C. Martin, et al. Evaluating drug targets through human loss-of-function genetic variation. Nature. 2020;581(7809):459-464. doi:10.1038/s41586-020-2267-z

Junyue Cao, Diana R. O’Day, Hannah A. Pliner, et al. A human cell atlas of fetal gene expression. Science (New York, N.Y.). 2020;370(6518):eaba7721. doi:10.1126/science.aba7721

Julia Rogal, Carina Binder, Elena Kromidas, et al. WAT-on-a-chip integrating human mature white adipocytes for mechanistic research and pharmaceutical applications. Scientific Reports. 2020;10(1):6666. doi:10.1038/s41598-020-63710-4

Oğuzcan Kinikoğlu, Yağmur Ö Güven, Bekir B. Kilboz. Publication and Citation Analysis of Medical Doctors’ Residency Master’s Theses Involving Animal Experiments on Rats in Turkey. Alternatives to laboratory animals: ATLA. 2020;48(1):23-28. doi:10.1177/0261192920907226

Anna S. E. Cuomo, Daniel D. Seaton, Davis J. McCarthy, et al. Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression. Nature Communications. 2020;11(1):810. doi:10.1038/s41467-020-14457-z

Cathalijn H. C. Leenaars, Carien Kouwenaar, Frans R. Stafleu, et al. Animal to human translation: a systematic scoping review of reported concordance rates. Journal of Translational Medicine. 2019;17(1):223. doi:10.1186/s12967-019-1976-2