Single-Cell Translatomics with Spatial Resolution at the Molecular Level
Summary
Utilizing a technique named RIBOmap, they charted mRNA translation at an unprecedented transcriptomic scale, achieving both spatial and single-cell accuracy. This innovative method profiled nearly a thousand genes in HeLa cells, unmasking translational patterns linked to the cell cycle and the colocation of gene modules with specific functions. When applied to mouse brain tissues, it discerned translational behaviors across over 119,000 cells, highlighting distinctions based on cell types and brain regions. Furthermore, it underscored unique translational patterns across brain cell networks, particularly in neurons and glial cells.
Fig.1 Graphical abstract1.
Research Criteria
The research criteria is developing a highly multiplexed imaging method called RIBOmap to profile translation events in individual cells with spatial resolution.
Fig.2 Experimental design1.
Sample Type
Intact mouse brain tissue slices for mapping 5413 genes and generating spatially resolved single-cell translatomic profiles.
Result—RIBOmap Expression in Intact Mouse Brain Tissue
They utilized RIBOmap on mouse brain sections, profiling 5413 genes from a specific list, covering different brain areas with two sets of data. By juxtaposing RIBOmap's findings with the Allen Brain database, consistent spatial translations were found, underscoring RIBOmap's reliability, which echoed earlier STARmap PLUS data. Two RIBOmap datasets had a notable correlation of 0.95, emphasizing its consistent output. Leveraging these encouraging outcomes, they employed advanced clustering techniques, distinguishing 11 primary and 38 secondary cell classifications. These mapped cell types in the brain section mirrored previous research, highlighting RIBOmap's ability to efficiently pinpoint various brain cell kinds and zones.
Fig.3 Single cell translatomics profiling of 5413 genes in the mouse brain on a spatial scale1.
Result—Subcellular mRNA Translation in the Mouse Brain
In the mouse brain, researchers delved into the specificities of localized mRNA translation at a subcellular level. They discerned the translation activities in two main regions: the cell body (soma) and the extended branches (processes). This precise translation aids in fine-tuning the interplay between nerve and supportive cells during cognitive growth and memory formation. By categorizing the translation data, they identified genes that predominantly translate in either the processes or soma. Their findings linked processes-focused genes to synaptic elements and somatic-focused genes to cellular boundaries. Notably, RIBOmap provided insights into localized translation in both nerve cells and supporting cells, showcasing its efficacy for such studies.
Fig.4 Translational processes in the somata and processes of neuronal and glial cells in the mouse brain1.
Creative Biolabs' Services
Single Cell Spatial Gene Expression Service
At Creative Biolabs, we offer a specialized single cell spatial gene expression service that empowers researchers to intricately map cellular transcriptomes within tissues. This invaluable resource aids in unraveling the intricate processes of tissue development, deciphering disease mechanisms, and advancing clinical translational research. Our team of dedicated experts excels in tailoring our service to precisely align with the unique requirements and objectives of each researcher.
Learn moreAt Creative Biolabs, we are deeply committed to providing a wide range of customized solutions for single-cell spatial gene expression analyses. Our extensive expertise enables us to uncover the complete transcriptome while seamlessly integrating morphological nuances within various specimen types, including formalin-fixed, paraffin-embedded, or cryopreserved samples. This approach leads to groundbreaking insights into physiological growth, disease intricacies, and transformative advancements in clinical research. We take great pride in delivering our specialized services, steadfastly driving the boundaries of scientific exploration and innovation.
For any information, please contact us.
Reference
- Zeng, Hu, et al. "Spatially resolved single-cell translatomics at molecular resolution." Science 380.6652 (2023): eadd3067.
