Sennet Consortium sites develop innovative technologies that accelerate our understanding of cellular senescence. Our tools span imaging, spatial biology, and computational analytics, empowering researchers to uncover the complex roles senescent cells play in aging and disease.
Dr. Jun Hee Lee (University of Michigan) discusses the development and use of seq-scope and FICTURE technology, and how they further the field of spatial transcriptomics, especially in regards to the study of senescent cells.
18F-PyGal Radiotracer
Institution: Stanford University
A groundbreaking radiotracer designed for in vivo detection of β-galactosidase activity, a hallmark of senescence. Using integrated PET/MRI imaging, 18F-PyGal enables precise, non-invasive visualization of senescent cells in live organisms, revolutionizing how researchers monitor cellular aging in real time.
Pixel-Seq
Institution: University of Washington
An advanced single-cell spatial transcriptomic and proteomic assay, Pixel-Seq enables high-resolution mapping of senescent cells in complex tissues. Published in Cell (2022), this tool integrates RNA and protein data to provide a multidimensional view of senescent microenvironments.
Seq-Scope
Institution: University of Michigan
Pushing the boundaries of spatial transcriptomics, Seq-Scope offers ultra-high resolution capabilities ideal for detecting rare and dispersed senescent cells. Published in Nature Protocols (2024), this technology provides an unprecedented spatial scale, allowing researchers to explore tissue architecture with single-cell clarity.
FICTURE
Institution: University of Michigan
Segmentation challenges in senescence research are a thing of the past. FICTURE, published in Nature Methods (2024), leverages deep learning to resolve complex tissue segmentation issues, dramatically improving the accuracy of cellular identification and quantification in histological images.
ScResolve
Institution: Carnegie Mellon University
ScResolve recovers single-cell expression profiles from mixed-cell datasets, unlocking high-resolution insights from multicellular-level data. Featured in Cell Reports Methods (2024), this computational tool enables a deeper understanding of heterogeneous cell populations, particularly useful in tissues rich in senescent cells.
SenoQuant
Institution: Mayo Clinic
Fast, reliable, and user-friendly, SenoQuant is a precision image analysis platform that quantifies senescence biomarkers in human tissue. Whether analyzing large-scale cohorts or small biopsy samples, SenoQuant provides robust measurements critical for clinical and translational research.