Creative Biolabs is drawing attention to three complementary RNA research approaches—single-cell RNA sequencing (scRNA-seq), single-nucleus RNA sequencing (snRNA-seq), and single-molecule fluorescence in situ hybridization (smFISH)—to help biomedical laboratories overcome blind spots in the study of cellular heterogeneity. The company’s announcement underscores a critical challenge: no single method fits every sample or research question, and selecting the right approach early can determine the quality and relevance of downstream data.
The importance of this guidance lies in the limitations of bulk analysis. Rare cell populations, transient cellular states, and cell-to-cell differences can be obscured when diverse samples are analyzed together. For studies using viable, dissociated cells, Creative Biolabs’ single-cell RNA sequencing service supports gene-expression analysis across individual cells, from experimental planning and cell isolation to library preparation, sequencing, and data analysis. Such studies can identify distinct cell populations and characterize expression signatures in cancer, immunology, and developmental biology.
However, tissue dissociation can introduce significant biases. Some cells are difficult to recover intact, and sample handling may alter transcriptional states. For complex tissues such as brain specimens, Creative Biolabs offers single-nucleus RNA sequencing, which analyzes isolated nuclei rather than whole cells. This approach can accommodate suitably preserved frozen tissues and reduce some dissociation-related biases, though sample suitability still depends on preservation method and nuclei quality. The methods are not interchangeable: whole-cell and nuclear profiling capture different transcript populations, and each can introduce method-specific biases.
Sequencing can suggest that a gene is enriched in a particular cell population, but some questions require direct visualization. Creative Biolabs’ single-molecule FISH analysis service uses fluorescently labeled oligonucleotide probes to detect selected RNA molecules in fixed cells, supporting investigation of transcript abundance and subcellular localization. Unlike transcriptome-wide sequencing, conventional smFISH examines preselected targets and requires careful probe design, controls, imaging, and image analysis. Its value lies in focused questions—such as whether a transcript is present in particular cells or where it accumulates—rather than replacing broad discovery profiling.
The implication for researchers is that method selection should be driven by sample suitability and the research hypothesis. A project might use scRNA-seq to characterize accessible cells, switch to snRNA-seq when intact-cell recovery is problematic, or apply smFISH to examine the localization of priority transcripts. By offering distinct profiling and visualization services, Creative Biolabs aims to help researchers align sample preparation with downstream analysis, reducing the risk of misleading results caused by mismatched methods. The company notes that all services are intended for research use only, not for diagnostic or therapeutic purposes.
