
Dr. Maike Hansen from Radboud University discusses her lab’s single cell techniques, cell-free biochemistry and computational modeling to predict cell function and response to therapies.

NIH grant reviewer Dr. Manuela Martins-Green shares clear, practical advice on how researchers can strengthen their proposals by focusing on true significance, innovation, and rigor.
Researcher Amy Van Aartsen shares how Evercode™ scRNA-seq has propelled her research and highlights her work with The Marty Project.

The FDA’s move to phase out animal testing marks a pivotal shift in drug development, opening the door for human-based models like organoids and organ-on-a-chip systems to drive safer, more precise, and patient-relevant discoveries.

By combining Genome-wide association studies (GWAS) with gene expression and single cell sequencing, researchers can connect genetic variation to molecular mechanisms, uncovering how specific cell types drive disease risk.

Trailmaker is a flexible, user-friendly tool that supports a wide range of single cell RNA sequencing analysis workflows, whether you’re starting from scratch or integrating with existing pipelines.

With Trailmaker, both wet-lab scientists and bioinformaticians are empowered to streamline their single cell analysis from data upload to visualization through an intuitive, collaborative platform.

To keep up with the complexity of immune research, newer single cell technologies like combinatorial barcoding offer a robust alternative to droplet-based techniques.

Single cell RNA sequencing is transforming cancer research by uncovering hidden complexities like drug resistance and tumor heterogeneity, highlighting the need for continued innovation to outpace cancer’s evolution and improve patient outcomes.

With the development of new multi-omics technologies, researchers can explore new avenues for therapeutic interventions and precision medicine in cancer research.