Creative Biolabs Upgrades Single-Cell and Multi-Omics Sequencing Services

What Happened

Creative Biolabs has expanded its suite of single-cell and multi-omics analytical services to address growing demand for high-resolution biological profiling. The upgraded platform supports research in oncology, immunology, and neuroscience by providing detailed cellular data.

The service now includes specialized single-nucleus RNA sequencing (snRNA-seq), designed to analyze complex or biobanked samples where traditional dissociation methods often damage fragile cells. This allows for the study of difficult tissue types such as brain matter and cardiac biopsies.

Additionally, the company has enhanced its multi-omics capabilities. Researchers can now simultaneously examine genomic variations, chromatin accessibility, and protein expression within individual cells to create more detailed cellular maps.

The Core Points

Expanded end-to-end single-cell transcriptome and multi-omics services.
Added single-nucleus RNA sequencing to process fragile or archival samples.
Integrated analysis of genomics, epigenomics, and proteomics at the single-cell level.
Designed to bypass common laboratory issues like dissociation-induced stress.
Focuses on supporting oncology, immunology, and neuroscience drug development.

Context in 60 Seconds

The life sciences sector is shifting away from bulk tissue analysis toward single-cell resolution to better understand cellular heterogeneity. This transition is essential for identifying rare cell populations and mapping complex disease environments.

As research focuses move toward precision medicine, there is an increasing need for standardized, high-throughput pipelines that can handle diverse and challenging clinical samples. Companies are responding by building modular ecosystems that integrate sequencing, bioinformatics, and data analysis to simplify the path from raw biological specimens to actionable clinical insights.

Bottom Line

Creative Biolabs is scaling its sequencing infrastructure to help researchers process difficult tissue samples and generate high-dimensional cellular datasets for drug discovery.

Loading briefing details...