Tissue and tumor atlases revolutionize our understanding of disease progression and therapeutic response. They provide precise molecular data on cell types, states, and interactions in a preserved 3D environment to improve diagnosis and disease management.
Navigating Spatial Biology
The Harvard Tissue Atlas (HTA) gathers image and -omic datasets into high-resolution molecular maps. Our atlases provide precise molecular data on cell types, states, and interactions in a preserved 3D environment, shedding light on the complex interactions between cellular and acellular structures in normal and diseased tissue. These data provide a deeper understanding of how diseases start and progress to improve disease diagnosis and management.
The Harvard Tissue Atlas datasets enable a foundation for future advances in precision medicine, such as early cancer detection, AI/ML predictive models, and disease stratification for clinical trials.
Atlases
News
Publications & Software
AKT and EZH2 inhibitors kill TNBCs by hijacking mechanisms of involution
Publication
Ovarian cancer-derived IL-4 promotes immunotherapy resistance
Publication
Development and validation of time-to-event models to predict metastatic recurrence of localized cutaneous melanoma
Publication
High-plex immunofluorescence imaging and traditional histology of the same tissue section for discovering image-based biomarkers
Publication
Featured Data Explorations
Nuclear envelope atypia and rupture in human glioblastoma
Multimodal spatial profiling of colorectal cancer using Orion
Graphical Abstract - Multiplexed 3D atlas of state transitions and immune interactions in colorectal cancer
Exploring the Stages of Tuberculosis Granulomas
Deep Exploration of a Primary Melanoma (MEL 1 Full Story)
Patient 2 - Melanoma in situ, invasive melanoma, precursor field and inflammatory regression
BRCA wild-type TNBC vs BRCA1-associated TNBC
Data analysis of primary lung cancer (Lung 3)