日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Early multi-omic signatures and machine learning models predict cardiomyocyte differentiation efficiency and enable robust hPSC differentiation to cardiomyocytes

早期多组学特征和机器学习模型可预测心肌细胞分化效率,并实现hPSC向心肌细胞的稳健分化。

Feeney, Austin K; Simmons, Aaron D; Bayne, Elizabeth F; Zhu, Yanlong; Pentes, Mason R; Cobra, Paulo F; Zhang, Jianhua; Kamp, Timothy J; Ge, Ying; Palecek, Sean P

Enhancing human pluripotent stem cell differentiation to cardiomyocytes through cardiac progenitor reseeding and cryopreservation.

通过心脏祖细胞重播和冷冻保存增强人类多能干细胞向心肌细胞的分化

Feeney Austin K, Simmons Aaron D, Peplinski Claire J, Zhang Xiaotian, Palecek Sean P

Integrated multi-omics analysis identifies features that predict human pluripotent stem cell-derived progenitor differentiation to cardiomyocytes

整合多组学分析鉴定出预测人类多能干细胞衍生祖细胞分化为心肌细胞的特征

Simmons, Aaron D; Baumann, Claudia; Zhang, Xiangyu; Kamp, Timothy J; De La Fuente, Rabindranath; Palecek, Sean P

Advances in Manufacturing Cardiomyocytes from Human Pluripotent Stem Cells

利用人类多能干细胞制造心肌细胞的进展

Floy, Martha E; Shabnam, Fathima; Simmons, Aaron D; Bhute, Vijesh J; Jin, Gyuhyung; Friedrich, Will A; Steinberg, Alexandra B; Palecek, Sean P

Multiomics Method Enabled by Sequential Metabolomics and Proteomics for Human Pluripotent Stem-Cell-Derived Cardiomyocytes

利用顺序代谢组学和蛋白质组学的多组学方法研究人类多能干细胞衍生的心肌细胞

Bayne, Elizabeth F; Simmons, Aaron D; Roberts, David S; Zhu, Yanlong; Aballo, Timothy J; Wancewicz, Benjamin; Palecek, Sean P; Ge, Ying

Metabolomics revealed the influence of breast cancer on lymphatic endothelial cell metabolism, metabolic crosstalk, and lymphangiogenic signaling in co-culture

代谢组学揭示了乳腺癌对共培养体系中淋巴管内皮细胞代谢、代谢串扰和淋巴管生成信号的影响

Acevedo-Acevedo, Suehelay; Millar, Douglas C; Simmons, Aaron D; Favreau, Peter; Cobra, Paulo F; Skala, Melissa; Palecek, Sean P