Multiparameter quantitative analyses of diagnostic cells in brain tissues from tuberous sclerosis complex.

ABSTRACT: The advent of high-dimensional imaging offers new opportunities to molecularly characterize diagnostic cells in disorders that have previously relied on histopathological definitions. One example case is found in tuberous sclerosis complex (TSC), a developmental disorder characterized by systemic growth of benign tumors. Within resected brain tissues from patients with TSC, detection of abnormally enlarged balloon cells (BCs) is pathognomonic for this disorder. Though BCs can be identified by an expert neuropathologist, little is known about the specificity and broad applicability of protein markers for these cells, complicating classification of proposed BCs identified in experimental models of this disorder. Here, we report the development of a customized machine learning pipeline (BAllo

SUBMITTER: Arceneaux JS 

PROVIDER: S-EPMC11693778 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature