Resources: Publications

In this bioRxiv preprint, Khurana et al., Cellanome introduces a scalable platform for longitudinal imaging and single-cell transcriptomics. Utilizing light-guided hydrogel CellCage Enclosures (CCEs), the system links real-time cellular behavior and morphological trajectories to whole-transcriptome profiles in adherent and suspension cells. The authors conclude that this platform transforms single-cell analysis from a static snapshot into a causal framework. By providing a substrate for longitudinal observation of the same individual cells that are eventually sequenced, the technology enables the construction of higher-fidelity virtual cell models and a deeper understanding of stochastic cellular adaptation in disease.

This preprint, by Orcutt-Jahns et al., introduces a methodology for pairing live-cell imaging with terminal transcriptomics. By utilizing CellCage Enclosures (CCE), the authors address the "unpaired data" limitation in single-cell biology, allowing for the direct mapping of a cell’s longitudinal physical behavior to its genetic state. The study demonstrates that deterministic linkage of live-cell behavior and transcriptomics can uncover regulatory mechanisms, such as the relationship between cytoskeletal state and immune signaling, that are not detectable through population-level inference or single-modality assays.

This study introduces Cellanome’s R3200 platform, a high-throughput technology designed to bridge the gap between live-cell behavior and molecular profiling. By utilizing semi-permeable CellCage Enclosures (CCEs), researchers tracked tens of thousands of individual A549 lung cancer cells treated with EGFR inhibitors (Olmutinib) and antibody-drug conjugates (Cetuximab-MMAE).