High-throughput tagging of endogenous loci for rapid characterization of protein function

Pooled tagging and hydrophobic targeting of endogenous proteins for unbiased mapping of unfolded protein responses

To achieve system-level insights into proteome organization, regulation, and function, we developed an approach to generate complex cell pools with endogenously tagged proteins amenable to high-throughput visualization and perturbation. Pooled imaging coupled to in situ barcode sequencing identified the subcellular localization of each HaloTag-tagged protein, and subsequent ligand-induced misfolding of the library followed by single-cell RNA sequencing revealed responses to spatially restricted protein misfolding. These datasets characterized protein quality control responses in previously uninterrogated cellular compartments, and cross-compartment analyses revealed mutually exclusive rather than collaborative responses, whereby the heat shock response (HSR) is induced in some compartments and repressed in others where autophagy genes are induced. We further assign protein quality control functions to previously uncharacterized genes based on shared transcriptional responses to protein misfolding across cellular compartments. Altogether, we present an efficient method for large-scale studies of proteome dynamics, function, and homeostasis.

High throughput identification of genetic regulators of microglial inflammatory processes in Alzheimer's disease

Genome-wide association studies (GWAS) have identified over a hundred genetic risk factors for Alzheimer's disease (AD), many of which are predominantly expressed in microglia. However, the pathogenic role for most of them remains unclear. To systematically investigate how AD GWAS variants influence human microglial inflammatory responses, we conducted CRISPR inhibition (CRISPRi) screens targeting 119 AD GWAS hits in hiPSC-derived microglia (iMGLs) and used the production of reactive oxygen species (ROS) in response to the viral mimic poly(I:C) as a functional readout. Top hits whose knockdown either increased or decreased ROS levels in response to poly(I:C) were further analyzed using CROP-seq to integrate CRISPRi with single-cell RNA sequencing (scRNA-seq). This analysis identified 9 unique microglial clusters, including a poly(I:C)-driven inflammatory cluster 2. Emerging evidence supports a pathogenic role of viral infections in AD and cross comparison of our scRNA-seq data with iMGLs xenotransplanted into an AD mouse model shows significant overlap between our clusters and AD-relevant microglial clusters. Knockdown of MS4A6A and EED , which resulted in elevated ROS production in the presence of poly(I:C), increased the proportion of cluster 2 cells and induced functionally related changes in gene expression. In addition, KD of MS4A6 led to a reduction in the proportion of iMGLs in the DAM (disease associated microglia) cluster under all conditions, suggesting that this gene may modulate the DAM response. In contrast, KD of INPP5D or RAPEP1 which lead to low levels of ROS in the presence of poly(I:C), did not significantly affect the proportion of cells in cluster 2 but rather shaped the inflammatory response. This included the upregulation of an HLA-associated inflammatory cluster (cluster 6) by INPP5D knockdown under all conditions, independent of poly(I:C) stimulation. Importantly, KD of INPP5D or RAPEP1 had many shared differentially expressed genes (DEGs) under both vehicle and poly(I:C) treated conditions. Overall, our findings demonstrate that despite the diverse biological functions of AD GWAS variants, they converge functionally to regulate human microglial states and shape inflammatory responses relevant to AD pathology.