Mutations within PCSK9 (proprotein convertase subtilisin/ kexin type 9) are associated with dominant forms of familial hyper-and hypocholesterolemia. Although PCSK9 controls low density lipoprotein (LDL) receptor (LDLR) levels post-transcriptionally, several questions concerning its mode of action remain unanswered. We show that purified PCSK9 protein added to the medium of human endothelial kidney 293, HepG2, and Chinese hamster ovary cell lines decreases cellular LDL uptake in a dose-dependent manner. Using this cell-based assay of PCSK9 activity, we found that the relative potencies of several PCSK9 missense mutants (S127R and D374Y, associated with hypercholesterolemia, and R46L, associated with hypocholesterolemia) correlate with LDL cholesterol levels in humans carrying such mutations. Notably, we found that in vitro wild-type PCSK9 binds LDLR with an ϳ150-fold higher affinity at an acidic endosomal pH (K D ‫؍‬ 4.19 nM) compared with a neutral pH (K D ‫؍‬ 628 nM). We also demonstrate that wild-type PCSK9 and mutants S127R and R46L are internalized by cells to similar levels, whereas D374Y is more efficiently internalized, consistent with their affinities for LDLR at neutral pH. Finally, we show that LDL diminishes PCSK9 binding to LDLR in vitro and partially inhibits the effects of secreted PCSK9 on LDLR degradation in cell culture. Together, the results of our biochemical and cell-based experiments suggest a model in which secreted PCSK9 binds to LDLR and directs the trafficking of LDLR to the lysosomes for degradation.PCSK9 (proprotein convertase subtilisin/kexin type 9) encodes the ninth member of the mammalian proprotein convertase family of serine endoproteases. PCSK9 is translated as a 692-amino acid proprotein that includes several domains found in other proprotein convertases, including an N-terminal signal sequence, a prodomain, a catalytic domain, and a cysteine-rich C-terminal domain (1-3). The PCSK9 catalytic domain shares high sequence similarity with the proteinase K family of subtilases and contains a catalytic triad (Asp 186 , His 226 , and Ser 386 ) responsible for autoprocessing (1, 4). PCSK9 processing occurs in the secretory pathway, presumably in the endoplasmic reticulum, and results in proteolytic cleavage occurring after Gln 152 (FAQ2SIP). This cleavage generates a stable PCSK9 heterodimer composed of a 14-kDa prodomain fragment and a mature 57-kDa fragment containing the catalytic and C-terminal domains (4, 5). Following processing, the PCSK9 heterodimer exits the ER and is eventually secreted (1). The prodomain of PCSK9 remains strongly bound to the mature protein after secretion, presumably inhibiting the catalytic activity of PCSK9 (1, 5, 6). To date, there is no conclusive evidence that the processed secreted form of PCSK9 can cleave any substrates in a catalytic serine-dependent manner.The first evidence that PCSK9 plays a significant role in regulating plasma low density lipoprotein (LDL) 3 cholesterol (LDL-C) levels was the identification of several missense mutations in PCS...

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This paper presents an automated, online approach to anomaly detection in high-content screening assays for pharmaceutical research. Online detection of anomalies is attractive because it offers the possibility of immediate corrective action, early termination, and redesign of assays that may require many hours or days to execute. The proposed approach employs assay-specific image processing within an assay-independent framework for distributed control, machine learning, and anomaly reporting. Specifically, we exploit coarse-grained parallelism to distribute image processing over several computing nodes while efficiently aggregating sufficient statistics across nodes. This architecture also allows us to easily handle geographically-distributed data sources. Our results from two applications, adipocyte quantitation and neurite growth estimation, confirm that this online approach to anomaly detection is feasible, efficient, and accurate.