@article{3411,
  author = {Soraya O. Sandoval and Gerarda Cappuccio and Karina Kruth and Sivan Osenberg and Saleh M. Khalil and Natasha M. Méndez-Albelo and Krishnan Padmanabhan and Daifeng Wang and Mark J. Niciu and Anita Bhattacharyya and Jason L. Stein and André M. M. Sousa and Elisa A. Waxman and Elizabeth D. Buttermore and Dosh Whye and Carissa L. Sirois and Stewart Anderson and Anita and Anita Bhattacharyya and Elizabeth Buttermore and Qiang Chang and Deborah French and Kazue Hashimoto-Torii and Harley Kornblum and Kristin Kroll and Herbert M. Lachman and Mirjana Maletic-Savatic and Mark Niciu and Bennett Novitch and Krishnan Padmanabhan and Chris Proschel and Mustafa Sahin and Andre Sousa and Jason Stein and Daifeng Wang and Elisa Waxman and Dosh Whye and Aislinn Williams and Xinyu Zhao and Aislinn Williams and Mirjana Maletic-Savatic and Xinyu Zhao},
  title = {Rigor and reproducibility in human brain organoid research: Where we are and where we need to go},
  abstract = {Human brain organoid models have emerged as a promising tool for studying human brain development and function. These models preserve human genetics and recapitulate some aspects of human brain development, while facilitating manipulation in an in vitro setting. Despite their potential to transform biology and medicine, concerns persist about their fidelity. To fully harness their potential, it is imperative to establish reliable analytic methods, ensuring rigor and reproducibility. Here, we review current analytical platforms used to characterize human forebrain cortical organoids, highlight challenges, and propose recommendations for future studies to achieve greater precision and uniformity across laboratories.},
  year = {2024},
  journal = {Stem Cell Reports},
  volume = {19},
  pages = {796-816},
  month = {2024-06-11},
  issn = {2213-6711},
  url = {https://www.sciencedirect.com/science/article/pii/S2213671124001140},
  doi = {10.1016/j.stemcr.2024.04.008},
}