What are the best practices for sample handling in genomic labs

Updated 9/11/2025

Effective sample handling is crucial in genomic labs to ensure data accuracy and integrity. Best practices include implementing a standardized protocol for sample collection, labeling, and storage to prevent contamination and degradation. Using barcoding systems can streamline tracking and inventory management. It’s essential to maintain samples at appropriate temperatures, using cold storage solutions like -80°C freezers or liquid nitrogen for long-term preservation. Implementing quality control measures, such as regular checks and validation of sample integrity, is vital. Training staff on correct handling techniques and using personal protective equipment (PPE) minimizes contamination risks. Utilizing Laboratory Information Management Systems (LIMS) can enhance data management and traceability. Regular audits and reviews of handling procedures ensure compliance with regulatory standards. Finally, having a well-defined chain of custody protocol ensures accountability throughout the sample handling process. Key Takeaway: Standardized protocols and technology integration enhance sample handling in genomic labs.