In Alzheimer's disease (AD), amyloid deposits along the brain vasculature leading to a condition known as cerebral amyloid angiopathy (CAA), which impairs blood-brain barrier (BBB) function and accelerates cognitive degeneration. APOE4 is the strongest risk factor for CAA, yet the mechanisms underlying this genetic susceptibility are unknown. Here, we developed an iPSCbased 3D model that recapitulates anatomical and physiological properties of the human BBB in vitro. Similar to CAA, our in vitro BBB displayed significantly more amyloid accumulation in APOE4 compared to APOE3. Combinatorial experiments revealed that dysregulation of Calcineurin/NFAT-signaling and APOE in pericyte-like mural cells induces APOE4-associated CAA pathology. In the human brain, we identify APOE and NFAT are selectively dysregulated in pericytes of APOE4-carriers, and that inhibiting calcineurin/NFAT-signaling reduces APOE4associated CAA pathology in vitro and in vivo. Our study reveals the role of pericytes in APOE4mediated CAA and highlights calcineurin/NFAT-signaling as a therapeutic target in CAA and AD.The BBB is critical for proper neuronal function, protecting the brain from pathogens and tightly regulating the composition of brain fluids. Neuronal health is directly coupled to the *

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While gene expression profiling has traditionally been the method of choice for large-scale perturbational profiling studies, proteomics has emerged as an effective tool in this context for directly monitoring cellular responses to perturbations. We previously reported a pilot library containing 3400 profiles of multiple perturbations across diverse cellular backgrounds in the reduced-representation phosphoproteome (P100) and chromatin space (Global Chromatin Profiling, GCP). Here, we expand our original dataset to include profiles from a new set of cardiotoxic compounds and from astrocytes, an additional neural cell model, totaling 5300 proteomic signatures. We describe filtering criteria and quality control metrics used to assess and validate the technical quality and reproducibility of our data. To demonstrate the power of the library, we present two case studies where data is queried using the concept of “connectivity” to obtain biological insight. All data presented in this study have been deposited to the ProteomeXchange Consortium with identifiers PXD017458 (P100) and PXD017459 (GCP) and can be queried at https://clue.io/proteomics.