Developing a new DNA barcode technology to track cell lineages over time
Self-Evolvr: self-refreshing molecular barcodes using CRISPR-self-guided mutagenesis
This study is testing a new way to track how cells grow and change over time using special DNA tags, which could help us better understand issues like antibiotic resistance and cancer, making it easier to find better treatments for patients.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Harvard Medical School NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11035766 on NIH RePORTER |
What this research studies
This research focuses on creating a novel DNA barcode system called Self-EvolvR, which allows for the continuous tracking of cellular lineages by embedding unique DNA sequences into cells. Unlike traditional barcode systems that become ineffective after clonal expansion, Self-EvolvR uses an engineered Cas9 system to introduce mutations into the barcode, enabling high-resolution lineage tracing across various biological systems. The project aims to optimize and validate this technology in both bacterial and eukaryotic models, providing insights into cellular dynamics over time. Patients may benefit from advancements in understanding antibiotic resistance and cancer progression through improved lineage tracking.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals affected by antibiotic-resistant infections or cancers where lineage tracing could provide critical insights for treatment.
Not a fit: Patients with conditions unrelated to cellular lineage tracking or those not affected by antibiotic resistance or cancer may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better tracking of cellular evolution, which may enhance treatment strategies for antibiotic resistance and cancer.
How similar studies have performed: Previous research has shown promise in lineage tracing technologies, but the Self-EvolvR approach is novel and aims to overcome limitations of existing methods.
Where this research is happening
Boston, United States
- Harvard Medical School — Boston, United States (Active)
Researchers
- Principal investigator: Baym, Michael — Harvard Medical School
- Study coordinator: Baym, Michael
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.