Affinity purification coupled with mass spectrometry (AP-MS) is now a widely used approach for the identification of protein-protein interactions. However, for any given protein of interest, determining which of the identified polypeptides represent bona fide interactors versus those that are background contaminants (e.g. proteins that interact with the solid-phase support, affinity reagent or epitope tag) is a challenging task. While the standard approach is to identify nonspecific interactions using one or more negative controls, most small-scale AP-MS studies do not capture a complete, accurate background protein set. Fortunately, negative controls are largely bait-independent. Hence, aggregating negative controls from multiple AP-MS studies can increase coverage and improve the characterization of background associated with a given experimental protocol. Here we present the Contaminant Repository for Affinity Purification (the CRAPome) and describe the use of this resource to score protein-protein interactions. The repository (currently available for Homo sapiens and Saccharomyces cerevisiae) and computational tools are freely available online at www.crapome.org.

Summary The incorporation of histone H3 variants has been implicated in the epigenetic memory of cellular state. Using genome editing with zinc finger nucleases to tag endogenous H3.3, we report genome-wide profiles of H3 variants in mammalian embryonic stem (ES) cells and neuronal precursor cells. Genome-wide patterns of H3.3 are dependent on amino acid sequence, and change with cellular differentiation at developmentally regulated loci. The H3.3 chaperone Hira is required for H3.3 enrichment at active and repressed genes. Strikingly, Hira is not essential for localization of H3.3 at telomeres and many transcription factor binding sites. Immunoaffinity purification and mass spectrometry reveal that the proteins Atrx and Daxx associate with H3.3 in a Hira-independent manner. Atrx is required for Hira-independent localization of H3.3 at telomeres, and for the repression of telomeric RNA. Our data demonstrate that multiple and distinct factors are responsible for H3.3 localization at specific genomic locations in mammalian cells.

We present a quantitative model to demonstrate that coclustering multiple enzymes into compact agglomerates accelerates the processing of intermediates, yielding the same efficiency benefits as direct channeling, a well-known mechanism in which enzymes are funneled between enzyme active sites through a physical tunnel. The model predicts the separation and size of coclusters that maximize metabolic efficiency, and this prediction is in agreement with previously reported spacings between coclusters in mammalian cells. For direct validation, we study a metabolic branch point in Escherichia coli and experimentally confirm the model prediction that enzyme agglomerates can accelerate the processing of a shared intermediate by one branch, and thus regulate steady-state flux division. Our studies establish a quantitative framework to understand coclustering-mediated metabolic channeling and its application to both efficiency improvement and metabolic regulation.

Summary Sirtuins (SIRTs) are critical enzymes that govern genome regulation, metabolism, and aging. Despite conserved deacetylase domains, mitochondrial SIRT4 and SIRT5 have little to no deacetylase activity, and a robust catalytic activity for SIRT4 has been elusive. Here, we establish SIRT4 as a cellular lipoamidase that regulates the pyruvate dehydrogenase complex (PDH). Importantly, SIRT4 catalytic efficiency for lipoyl- and biotinyl-lysine modifications is superior to its deacetylation activity. PDH, which converts pyruvate to acetyl-CoA, has been known to be primarily regulated by phosphorylation of its E1 component. We determine that SIRT4 enzymatically hydrolyzes the lipoamide cofactors from the E2 component dihydrolipoyllysine acetyltransferase (DLAT), diminishing PDH activity. We demonstrate SIRT4-mediated regulation of DLAT lipoyl levels and PDH activity in cells and in vivo, in mouse liver. Furthermore, metabolic flux switching via glutamine stimulation induces SIRT4 lipoamidase activity to inhibit PDH, highlighting SIRT4 as a guardian of cellular metabolism.

Detection of pathogenic nucleic acids is essential for mammalian innate immunity. IFN-inducible protein IFI16 has emerged as a critical sensor for detecting pathogenic DNA, stimulating both type I IFN and proinflammatory responses. Despite being predominantly nuclear, IFI16 can unexpectedly sense pathogenic DNA in both the cytoplasm and the nucleus. However, the mechanisms regulating its localization and sensing ability remain uncharacterized. Here, we propose a two-signal model for IFI16 sensing. We first identify an evolutionarily conserved multipartite nuclear localization signal (NLS). Next, using FISH and immunopurification, we demonstrate that IFI16 detects HSV-1 DNA primarily in the nucleus, requiring a functional NLS. Furthermore, we establish a localization-dependent IFN-β induction mediated by IFI16 in response to HSV-1 infection or viral DNA transfection. To identify mechanisms regulating the secondary cytoplasmic localization, we explored IFI16 posttranslation modifications. Combinatorial MS analyses identified numerous acetylations and phosphorylations on endogenous IFI16 in lymphocytes, in which we demonstrate an IFI16-mediated IFN-β response. Importantly, the IFI16 NLS was acetylated in lymphocytes, as well as in macrophages. Mutagenesis and nuclear import assays showed that NLS acetylations promote cytoplasmic localization by inhibiting nuclear import. Additionally, broad-spectrum deacetylase inhibition triggered accumulation of cytoplasmic IFI16, and we identify the acetyltransferase p300 as a regulator of IFI16 localization. Collectively, these studies establish acetylation as a molecular toggle of IFI16 distribution, providing a simple and elegant mechanism by which this versatile sensor detects pathogenic DNA in a localization-dependent manner.