05.14.25 -- A Checklist For Mechanism-Based Potency Testing In Cell Therapy

Syngeneic mouse tumor models are crucial for immunotherapy research, but variability in TILs and nonspecific binding complicate analysis.

Solutions for automating qPCR and digital PCR (dPCR) gene expression analysis workflows can help translational research laboratories derive valuable gene expression profiles.

Discover how self-replicating RNA (srRNA) can revolutionize vaccine development with sustained protein expression, lower doses, and fewer side effects to advance next-gen RNA therapeutics.

Scientists are gaining valuable knowledge about the structural dynamics of guide RNAs used in CRISPR-Cas9. This deeper understanding could pave the way for improved gene editing tools.

AAV-based gene therapies, while promising, require rigorous quality control through advanced methodologies to ensure safety, efficacy, and regulatory compliance.

Discover a technology that identifies CRISPR guide RNAs with minimal off-target effects for therapeutic gene editing by screening thousands of genomes and incorporating genetic diversity across populations.

Explore how preserving spatial molecular information and leveraging AI-driven spatial-omics can transform treatment prediction, patient stratification, and personalized medicine.

Understanding the characteristics of a molecule's "personality" is crucial for optimizing development and manufacturing. Learn how to overcome the challenges in the characterization process.

Incorporating novel nucleases into CRISPR therapies enhances intellectual property benefits through improved licensing, strategic protections, and access to new gene targets.

This study evaluates a fully automated BD FACSDuet–FACSLyric workflow versus manual processing.