Alessio Maiolica

The putative oncogene GASC1 demethylates tri- and dimethylated lysine 9 on histone H3

Methylation of lysine and arginine residues on histone tails affects chromatin structure and gene transcription. Tri- and dimethylation of lysine 9 on histone H3 (H3K9me3/me2) is required for the binding of the repressive protein HP1 and is associated with heterochromatin formation and transcriptional repression in a variety of species. H3K9me3 has long been regarded as a ‘permanent’ epigenetic mark. In a search for proteins and complexes interacting with H3K9me3, we identified the protein GASC1 (gene amplified in squamous cell carcinoma 1), which belongs to the JMJD2 (jumonji domain containing 2) subfamily of the jumonji family, and is also known as JMJD2C. Here we show that three members of this subfamily of proteins demethylate H3K9me3/me2 in vitro through a hydroxylation reaction requiring iron and α-ketoglutarate as cofactors. Furthermore, we demonstrate that ectopic expression of GASC1 or other JMJD2 members markedly decreases H3K9me3/me2 levels, increases H3K9me1 levels, delocalizes HP1 and reduces heterochromatin in vivo. Previously, GASC1 was found to be amplified in several cell lines derived from oesophageal squamous carcinomas, and in agreement with a contribution of GASC1 to tumour development, inhibition of GASC1 expression decreases cell proliferation. Thus, in addition to identifying GASC1 as a histone trimethyl demethylase, we suggest a model for how this enzyme might be involved in cancer development, and propose it as a target for anti-cancer therapy.

Structural Analysis of Multiprotein Complexes by Cross-linking, Mass Spectrometry, and Database Searching

Most protein complexes are inaccessible to high resolution structural analysis. We report the results of a combined approach of cross-linking, mass spectrometry, and bioinformatics to two human complexes containing large coiled-coil segments, the NDEL1 homodimer and the NDC80 heterotetramer. An important limitation of the cross-linking approach, so far, was the identification of cross-linked peptides from fragmentation spectra. Our novel approach overcomes the data analysis bottleneck of cross-linking and mass spectrometry. We constructed a purpose-built database to match spectra with cross-linked peptides, define a score that expresses the quality of our identification, and estimate false positive rates. We show that our analysis sheds light on critical structural parameters such as the directionality of the homodimeric coiled coil of NDEL1, the register of the heterodimeric coiled coils of the NDC80 complex, and the organization of a tetramerization region in the NDC80 complex. Our approach is especially useful to address complexes that are difficult in addressing by standard structural methods.

The MIS12 complex is a protein interaction hub for outer kinetochore assembly

The NSL1 subunit structures interactions between the MIS12, NDC80, and KNL1 kinetochore complexes (see also a related paper by Maskell et al. in this issue).

Gemin8 Is a Novel Component of the Survival Motor Neuron Complex and Functions in Small Nuclear Ribonucleoprotein Assembly

The survival motor neuron (SMN) protein is the product of the spinal muscular atrophy disease gene. SMN and Gemin2–7 proteins form a large macromolecular complex that localizes in the cytoplasm as well as in the nucleoplasm and in nuclear Gems. The SMN complex interacts with several additional proteins and likely functions in multiple cellular pathways. In the cytoplasm, a subset of SMN complexes containing unrip and Sm proteins mediates the assembly of spliceosomal small nuclear ribonucleoproteins (snRNPs). Here, by mass spectrometry analysis of SMN complexes purified from HeLa cells, we identified a novel protein that is evolutionarily conserved in metazoans, and we named it Gemin8. Co-immunoprecipitation and immunolocalization experiments demonstrated that Gemin8 is associated with the SMN complex and is localized in the cytoplasm and in the nucleus, where it is highly concentrated in Gems. Gemin8 interacts directly with the Gemin6-Gemin7 heterodimer and, together with unrip, these proteins form a heteromeric subunit of the SMN complex. Gemin8 is also associated with Sm proteins, and Gemin8-containing SMN complexes are competent to carry out snRNP assembly. Importantly, RNA interference experiments indicate that Gemin8 knock-down impairs snRNP assembly, and Gemin8 expression is down-regulated in cells with low levels of SMN. These results demonstrate that Gemin8 is a novel integral component of the SMN complex and extend the repertoire of cellular proteins involved in the pathway of snRNP biogenesis.

Unrip is a component of SMN complexes active in snRNP assembly

A macromolecular complex containing survival of motor neurons (SMN), the spinal muscular atrophy protein, and Gemin2–7 interacts with Sm proteins and snRNAs to carry out the assembly of these components into spliceosomal small nuclear ribonucleoproteins (snRNPs). Here we report the characterization of unr‐interacting protein (unrip), a GH‐WD protein of unknown function, as a component of the SMN complex that interacts directly with Gemin6 and Gemin7. Unrip also binds a subset of Sm proteins, and unrip‐containing SMN complexes are necessary and sufficient to mediate the assembly of spliceosomal snRNPs. These results demonstrate that unrip functions in the pathway of snRNP biogenesis and is a marker of cellular SMN complexes active in snRNP assembly.

Targeted proteome investigation via selected reaction monitoring mass spectrometry.

Due to the enormous complexity of proteomes which constitute the entirety of protein species expressed by a certain cell or tissue, proteome-wide studies performed in discovery mode are still limited in their ability to reproducibly identify and quantify all proteins present in complex biological samples. Therefore, the targeted analysis of informative subsets of the proteome has been beneficial to generate reproducible data sets across multiple samples. Here we review the repertoire of antibody- and mass spectrometry (MS) -based analytical tools which is currently available for the directed analysis of predefined sets of proteins. The topics of emphasis for this review are Selected Reaction Monitoring (SRM) mass spectrometry, emerging tools to control error rates in targeted proteomic experiments, and some representative examples of applications. The ability to cost- and time-efficiently generate specific and quantitative assays for large numbers of proteins and posttranslational modifications has the potential to greatly expand the range of targeted proteomic coverage in biological studies. This article is part of a Special Section entitled: Understanding genome regulation and genetic diversity by mass spectrometry.

Molecular Basis for the Dual Function of Eps8 on Actin Dynamics:Bundling and Capping

The unusual dual functions of the actin-binding protein EPS8 as an actin capping and actin bundling factor are mapped to distinct structural features of the protein and to distinct physiological activities in vivo.

Confident Site Localization Using a Simulated Phosphopeptide Spectral Library

We have investigated if phosphopeptide identification and simultaneous site localization can be achieved by spectral library searching. This allows taking advantage of comparison of specific spectral features, which would lead to improved discrimination of differential localizations. For building a library, we propose a spectral simulation strategy where all possible single phosphorylations can be simply and accurately (re)constructed on enzymatically dephosphorylated peptides, by predicting the diagnostic fragmentation events produced in beam-type CID. To demonstrate the performance of our approach, enriched HeLa phosphopeptides were dephosphorylated with alkaline phosphatase and analyzed with higher energy collisional dissociation (HCD), which were then used for creating a spectral library of simulated phosphopeptides. Spectral library searching using SpectraST was performed on data sets of synthetic phosphopeptides and the HeLa phosphopeptides, and subsequently compared to Mascot and Sequest database searching followed by phosphoRS and Ascore afforded localization, respectively. Our approach successfully led to accurate localization, and it outperformed other methods, when phosphopeptides were covered by the library. These results suggest that the searching with simulated spectral libraries serves as a crucial approach for both supplementing and validating the phosphorylation sites obtained by database searching and localization tools. For future development, simulation of multiply phosphorylated peptides remains to be implemented.