STRaM: A genetic framework for improved cell product provenance for research and clinical translations
Abstract Multiple assessment checks are required to handle the increasingly complex engineered-cell and cell-line provenance. To manage the biosafety and efficacy demands, we developed a bioinformatic pipeline for de novo profiling of short tandem repeats and mutations (STRaM) to identify and track...
Saved in:
| Main Authors: | Binglin Li, Chi Le, Wen Lei, Yingqi Zhou, Ying Zhang, Yanwen Wang, Yanyan Wang, Xian Li, Weiyan Zheng, Jie Sun, Yuanbiao Tu, Wangren Yang, Kuncheng Zhou, Stephene S. Meena, Yufei Li, Keying Zhu, Shuqin Zhou, Liyan Liu, Hao Chen, Qing Peng, Wenbin Qian, Ray P. S. Han, Wei Guo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-08547-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Business ecosystems policy in Stra.Tech.Man terms: The case of the Eastern Macedonia and Thrace region
by: Charis Vlados, et al.
Published: (2019-01-01) -
« Am stram gram » ou à la recherche des origines de la poésie
by: Karolina Resztak
Published: (2015-10-01) -
Progress in the Application of Fluorescent Probes for Surgical Navigation in Breast Cancer Models
by: Wenqi Yuan, et al.
Published: (2025-07-01) -
A Blockchain-Based E-Healthcare System With Provenance Awareness
by: Lianshan Sun, et al.
Published: (2024-01-01) -
BPDAC: A Blockchain Based and Provenance Enabled Dynamic Access Control Scheme
by: Lianshan Sun, et al.
Published: (2023-01-01)