The benefits of lowering protein ion charge states in electrospray ionization (ESI) have attracted recent interest. We describe a simple approach to decrease protein charge states by exposure of electrospray droplets to neutral solvent vapor such as acetonitrile. The technique allows detection of weak noncovalent complexes, provides preferred charge states for tandem mass spectrometry (MS/MS) dissociation of protein complexes, and has the added benefit of reducing common adducts, such as alkali metals, without the addition of solution additives or the requirement for a secondary spray.

Systems Bioinformatics is a relatively new approach, which lies in the intersection of systems biology and classical bioinformatics. It focuses on integrating information across different levels using a bottom-up approach as in systems biology with a data-driven top-down approach as in bioinformatics. The advent of omics technologies has provided the stepping-stone for the emergence of Systems Bioinformatics. These technologies provide a spectrum of information ranging from genomics, transcriptomics and proteomics to epigenomics, pharmacogenomics, metagenomics and metabolomics. Systems Bioinformatics is the framework in which systems approaches are applied to such data, setting the level of resolution as well as the boundary of the system of interest and studying the emerging properties of the system as a whole rather than the sum of the properties derived from the system's individual components. A key approach in Systems Bioinformatics is the construction of multiple networks representing each level of the omics spectrum and their integration in a layered network that exchanges information within and between layers. Here, we provide evidence on how Systems Bioinformatics enhances computational therapeutics and diagnostics, hence paving the way to precision medicine. The aim of this review is to familiarize the reader with the emerging field of Systems Bioinformatics and to provide a comprehensive overview of its current state-of-the-art methods and technologies. Moreover, we provide examples of success stories and case studies that utilize such methods and tools to significantly advance research in the fields of systems biology and systems medicine.

Non-covalent interactions between ubiquitin (Ub)-modified substrates and Ub-binding domains (UBDs) are fundamental to signal transduction by Ub receptor proteins. Poly-Ub chains, linked through isopeptide bonds between internal Lys residues and the C-terminus of Ub, can be assembled with varied topologies to mediate different cellular processes. We have developed and applied a rapid and sensitive electrospray ionization-mass spectrometry (ESI-MS) method to determine isopeptide linkage-selectivity and affinity of poly-Ub·UBD interactions. We demonstrate the technique using mono-Ub and poly-Ub complexes with a number of α-helical and zinc-finger (ZnF) UBDs from proteins with roles in neurodegenerative diseases and cancer. Affinities in the 2-200 μM range were determined to be in excellent agreement with data derived from other biophysical techniques, where available. Application of the methodology provided further insights into the poly-Ub linkage specificity of the hHR23A-UBA2 domain, confirming its role in Lys48-linked poly-Ub signaling. The ZnF UBP domain of isopeptidase-T showed no linkage specificity for poly-Ub chains, and the Rabex-5 MIU also exhibited little or no specificity. The discovery that a number of domains are able to bind cyclic Lys48 di-Ub with affinities similar to those for the acyclic form indicates that cyclic poly-Ub may be capable of playing a role in Ub-signaling. Detection of a ternary complex involving Ub interacting simultaneously with two different UBDs demonstrated the co-existence of multi-site interactions, opening the way for the study of crosstalk between individual Ub-signaling pathways.

The diverse influences of ubiquitin, mediated by its post-translational covalent modification of other proteins, have been extensively investigated. However, more recently roles for unanchored (nonsubstrate linked) polyubiquitin chains have also been proposed. Here we describe the use of ubiquitin-binding domains to affinity purify endogenous unanchored polyubiquitin chains and their subsequent characterization by mass spectrometry (MS). Using the A20 Znf domain of the ubiquitin receptor ZNF216 we isolated a protein from skeletal muscle shown by a combination of nanoLC-MS and LC-MS/MS to represent an unmodified and unanchored K48-linked ubiquitin dimer. Selective purification of unanchored polyubiquitin chains using the Znf UBP (BUZ) domain of USP5/isopeptidase-T allowed the isolation of K48 and K11-linked ubiquitin dimers, as well as revealing longer chains containing as many as 15 ubiquitin moieties, which include the K48 linkage. Top-down nanoLC-MS/MS of the A20 Znf-purified ubiquitin dimer generated diagnostic ions consistent with the presence of the K48 linkage, illustrating for the first time the potential of this approach to probe connectivity within endogenous polyubiquitin modifications. As well as providing initial proteomic insights into the molecular composition of endogenous unanchored polyubiquitin chains, this work also represents the first definition of polyubiquitin chain length in vivo.

Advances in mass spectrometry technologies have created new opportunities for discovering novel protein biomarkers in systemic lupus erythematosus (SLE). We performed a systematic review of published reports on proteomic biomarkers identified in SLE patients using mass spectrometry‐based proteomics and highlight their potential disease association and clinical utility. Two electronic databases, MEDLINE and EMBASE, were systematically searched up to July 2015. The methodological quality of studies included in the review was performed according to Preferred Reporting Items for Systematic Reviews and Meta‐analyses guidelines. Twenty‐five studies were included in the review, identifying 241 SLE candidate proteomic biomarkers related to various aspects of the disease including disease diagnosis and activity or pinpointing specific organ involvement. Furthermore, 13 of the 25 studies validated their results for a selected number of biomarkers in an independent cohort, resulting in the validation of 28 candidate biomarkers. It is noteworthy that 11 candidate biomarkers were identified in more than one study. A significant number of potential proteomic biomarkers that are related to a number of aspects of SLE have been identified using mass spectrometry proteomic approaches. However, further studies are required to assess the utility of these biomarkers in routine clinical practice.

In the healthcare sector, phytocompounds are known to be beneficial by contributing or alleviating a variety of diseases. Studies have demonstrated the progressive effects of phytocompounds on immune-related diseases and to exhibit anticancer effects. Graviola tree is an evergreen tree with its extracts (leafs and seeds) been reported having anticancer properties, but the precise target of action is not clear. Using an in silico approach, we predicted that annonacin, an Acetogenin, the active agent found in Graviola leaf extract (GLE) to potentially act as a novel inhibitor of both sodium/potassium (NKA) and sarcoplasmic reticulum (SERCA) ATPase pumps. We were able to validate and confirm the in silico studies by showing that GLE inhibited NKA and SERCA activity in intact cells. In the present study, we also demonstrated the antiproliferative and anticancer effects of GLE in a variety of cancer cell lines with limited toxic effects on non-transformed cells. Moreover, our results revealed that known inhibitors of both NKA and SERCA pumps could also promote cell death in several cancer cell lines. In addition, a mouse xenograft cancer model showed GLE as able to reduce tumor size and progression. Finally, bioprofiling studies indicated a strong correlation between overexpression of both NKA and SERCA gene expression vs. survival rates. Overall, our results demonstrated that GLE can promote selective cancer cell death via inhibiting NKA and SERCA, and thus can be considered as a potential novel treatment for cancer. After molecular analysis of GLE by liquid chromatography–mass spectrometry and ESI–QTOF–MS analysis, it was found that the MS spectrum of the high abundant chromatographic peak purified sample highly consisted of annonacin.

The design of new therapeutic molecules can be significantly informed by studying protein-ligand interactions using biophysical approaches directly after purification of the protein-ligand complex. Well-established techniques utilized in drug discovery include isothermal titration calorimetry, surface plasmon resonance, nuclear magnetic resonance spectroscopy, and structure-based drug discovery which mainly rely on protein crystallography and, more recently, cryo-electron microscopy. Protein-ligand complexes are dynamic, heterogeneous, and challenging systems that are best studied with several complementary techniques. Native mass spectrometry (MS) is a versatile method used to study proteins and their non-covalently driven assemblies in a native-like folded state, providing information on binding thermodynamics and stoichiometry as well as insights on ternary and quaternary protein structure. Here, we discuss the basic principles of native mass spectrometry, the field’s recent progress, how native MS is integrated into a drug discovery pipeline, and its future developments in drug discovery.

Three months of ω3 supplementation (AA/EPA ∼1-1.5) reduces A2E levels, lipofuscin granules, and C3 levels in the ABCA4-/- mouse model of Stargardt disease, consistent with slowing of the disease.