Chemical tools for epichaperome-mediated interactome dysfunctions of the central nervous system.

Diseases are a manifestation of how thousands of proteins interact. In several diseases, such as cancer and Alzheimer's disease, proteome-wide disturbances in protein-protein interactions are caused by alterations to chaperome scaffolds termed epichaperomes. Epichaperome-directed chemical probes may be useful for detecting and reversing defective chaperomes. Here we provide structural, biochemical, and functional insights into the discovery of epichaperome probes, with a focus on their use in central nervous system diseases. We demonstrate on-target activity and kinetic selectivity of a radiolabeled epichaperome probe in both cells and mice, together with a proof-of-principle in human patients in an exploratory single group assignment diagnostic study (ClinicalTrials.gov Identifier: NCT03371420). The clinical study is designed to determine the pharmacokinetic parameters and the incidence of adverse events in patients receiving a single microdose of the radiolabeled probe administered by intravenous injection. In sum, we introduce a discovery platform for brain-directed chemical probes that specifically modulate epichaperomes and provide proof-of-principle applications in their use in the detection, quantification, and modulation of the target in complex biological systems.

Droplet sample introduction to microchip gel and zone electrophoresis for rapid analysis of protein-protein complexes and enzymatic reactions.

Electrophoresis has demonstrated utility as tool for screening of small molecule modulators of protein-protein interactions and enzyme targets. Screening of large chemical libraries requires high-throughput separations. Such fast separation can be accessed by microchip electrophoresis. Here, microchip gel electrophoresis separations of proteins are achieved in 2.6 s with 1200 V/cm and 3-mm separation lengths. However, such fast separations can still suffer from limited overall throughput from sample introduction constraints. Automated introduction of microfluidic droplets has been demonstrated to overcome this limitation. Most devices for coupling microfluidic droplets to microchip electrophoresis are only compatible with free-solution separations. Here, we present a device that is compatible with coupling droplets to gel and free-solution electrophoresis. In this device, automated sample introduction is based on a novel mechanism of carrier phase separation using the difference in density of the carrier phase and the running buffer. This device is demonstrated for microchip gel electrophoresis and free-solution electrophoresis separations of protein-protein interaction and enzyme samples, respectively. Throughputs of about 10 s per sample are achieved and over 1000 separations are demonstrated without reconditioning of the device. Graphical abstract.

Proteomic navigation using proximity-labeling.

The identification of bona fide protein-protein interactions and the mapping of proteomes was greatly enhanced by protein tagging for generic affinity purification methods and analysis by mass spectrometry (AP-MS). The high quality of AP-MS data permitted the development of proteomic navigation by sequential tagging of identified interactions. However AP-MS is laborious and limited to relatively high affinity protein-protein interactions. Proximity labeling, first with the biotin ligase BirA, termed BioID, and then with ascorbate peroxidase, termed APEX, permits a greater reach into the proteome than AP-MS enabling both the identification of a wider field and weaker protein-protein interactions. This additional reach comes with the need for stringent controls. Proximity labeling also permits experiments in living cells allowing spatiotemporal investigations of the proteome. Here we discuss proximity labeling with accompanying methodological descriptions for E. coli and mammalian cells.

Advances in Surface Plasmon Resonance Imaging and Microscopy and Their Biological Applications.

Surface plasmon resonance microscopy and imaging are optical methods that enable observation and quantification of interactions of nano- and microscale objects near a metal surface in a temporally and spatially resolved manner. This review describes the principles of surface plasmon resonance microscopy and imaging and discusses recent advances in these methods, in particular, in optical platforms and functional coatings. In addition, the biological applications of these methods are reviewed. These include the detection of a broad variety of analytes (nucleic acids, proteins, bacteria), the investigation of biological systems (bacteria and cells), and biomolecular interactions (drug-receptor, protein-protein, protein-DNA, protein-cell).

Specific and label-free immunosensing of protein-protein interactions with silicon-based immunoFETs.

The importance of specific and label-free detection of proteins via antigen-antibody interactions for the development of point-of-care testing devices has greatly influenced the search for a more accessible, sensitive, low cost and robust sensors. The vision of silicon field-effect transistor (FET)-based sensors has been an attractive venue for addressing the challenge as it potentially offers a natural path to incorporate sensors with the existing mature Complementary Metal Oxide Semiconductor (CMOS) industry; this provides a stable and reliable technology, low cost for potential disposable devices, the potential for extreme minituarization, low electronic noise levels, etc. In the current review we focus on silicon-based immunological FET (ImmunoFET) for specific and label-free sensing of proteins through antigen-antibody interactions that can potentially be incorporated into the CMOS industry; hence, immunoFETs based on nano devices (nanowire, nanobelts, carbon nanotube, etc.) are not treated here. The first part of the review provides an overview of immunoFET principles of operation and challenges involved with the realization of such devices (i.e. e.g. Debye length, surface functionalization, noise, etc.). In the second part we provide an overview of the state-of-the-art silicon-based immunoFET structures and novelty, principles of operation and sensing performance reported to date.

CRISPR/Cas9-mediated generic protein tagging in mammalian cells.

Systematic protein localization and protein-protein interaction studies to characterize specific protein functions are most effectively performed using tag-based assays. Ideally, protein tags are introduced into a gene of interest by homologous recombination to ensure expression from endogenous control elements. However, inefficient homologous recombination makes this approach difficult in mammalian cells. Although gene targeting efficiency by homologous recombination increased dramatically with the development of designer endonuclease systems such as CRISPR/Cas9 capable of inducing DNA double-strand breaks with unprecedented accuracy, the strategies still require synthesis or cloning of homology templates for every single gene. Recent developments have shown that endogenous protein tagging can be achieved efficiently in a homology independent manner. Hence, combinations between CRISPR/Cas9 and generic tag-donor plasmids have been used successfully for targeted gene modifications in mammalian cells. Here, we developed a tool kit comprising a CRISPR/Cas9 expression vector with several EGFP encoding plasmids that should enable tagging of almost every protein expressed in mammalian cells. By performing protein-protein interaction and subcellular localization studies of mTORC1 signal transduction pathway-related proteins expressed in HEK293T cells, we show that tagged proteins faithfully reflect the behavior of their native counterparts under physiological conditions.

Identification and Regulation of Multimeric Protein Complexes in Autophagy via SILAC-Based Mass Spectrometry Approaches.

Mass spectrometry (MS)-based identification and characterization of protein complexes is becoming a prerequisite for in-depth biochemical analyses of intracellular processes. Here, we describe two state-of-the-art MS-based approaches to characterize protein-protein interactions and multi-protein complexes involved in autophagy in mammalian cells. The combination of affinity purification (AP)-MS, which identifies binary protein-protein interactions, with size-exclusion chromatography (SEC)-protein correlation profiling (PCP), which helps monitor protein complex assemblies, is a powerful tool to acquire a full overview of the interlinkage and regulation of novel multi-protein complexes that might play a role in autophagy.

Autophagy Pathway Mapping to Elucidate the Function of Novel Autophagy Regulators Identified by High-Throughput Screening.

Autophagy is an evolutionarily conserved degradative pathway, and the core autophagy machinery acts in a highly regulated, hierarchical manner to engulf cytoplasmic material in a double-membrane-bound organelle and deliver it to the lysosome. High-throughput screening approaches lead to the identification of novel autophagy regulators, and we describe an autophagy pathway mapping strategy to determine the stage of the autophagy pathway at which these novel candidate proteins function.

Discovering cellular protein-protein interactions: Technological strategies and opportunities.

The analysis of protein interaction networks is one of the key challenges in the study of biology. It connects genotypes to phenotypes, and disruption often leads to diseases. Hence, many technologies have been developed to study protein-protein interactions (PPIs) in a cellular context. The expansion of the PPI technology toolbox however complicates the selection of optimal approaches for diverse biological questions. This review gives an overview of the binary and co-complex technologies, with the former evaluating the interaction of two co-expressed genetically tagged proteins, and the latter only needing the expression of a single tagged protein or no tagged proteins at all. Mass spectrometry is crucial for some binary and all co-complex technologies. After the detailed description of the different technologies, the review compares their unique specifications, advantages, disadvantages, and applicability, while highlighting opportunities for further advancements.

Binding-Induced Molecular Amplifier as a Universal Detection Platform for Biomolecules and Biomolecular Interaction.

Techniques that detect multiple classes of biomolecules and biomolecular interactions from biological or patient samples are highly desirable for applications ranging from accurate disease diagnosis to deciphering comprehensive biological processes. Because of the large variations in target recognition, signal transduction, and instrumentation, it is technically challenging to generalize a single detection method to a diverse range of analytical targets. Herein, we introduce a binding-induced molecular amplifier (BIMA) strategy that translates a variety of biomolecules and biomolecular interactions into unified predesigned DNA barcode in homogeneous solutions. On the basis of a three-dimensional DNA-walking mechanism, BIMA not only translates various targets into a unified barcode but also amplifies the translation by generating multiple barcode molecules in response to a single input target molecule. Using this strategy, we have successfully expanded the uses of a simple toehold-mediated strand displacement beacon for the sensitive detection of multiple classes of targets, including nucleic acids, proteins, and protein-protein interactions.

An AP-MS- and BioID-compatible MAC-tag enables comprehensive mapping of protein interactions and subcellular localizations.

Protein-protein interactions govern almost all cellular functions. These complex networks of stable and transient associations can be mapped by affinity purification mass spectrometry (AP-MS) and complementary proximity-based labeling methods such as BioID. To exploit the advantages of both strategies, we here design and optimize an integrated approach combining AP-MS and BioID in a single construct, which we term MAC-tag. We systematically apply the MAC-tag approach to 18 subcellular and 3 sub-organelle localization markers, generating a molecular context database, which can be used to define a protein's molecular location. In addition, we show that combining the AP-MS and BioID results makes it possible to obtain interaction distances within a protein complex. Taken together, our integrated strategy enables the comprehensive mapping of the physical and functional interactions of proteins, defining their molecular context and improving our understanding of the cellular interactome.

Revisit of Machine Learning Supported Biological and Biomedical Studies.

Generally, machine learning includes many in silico methods to transform the principles underlying natural phenomenon to human understanding information, which aim to save human labor, to assist human judge, and to create human knowledge. It should have wide application potential in biological and biomedical studies, especially in the era of big biological data. To look through the application of machine learning along with biological development, this review provides wide cases to introduce the selection of machine learning methods in different practice scenarios involved in the whole biological and biomedical study cycle and further discusses the machine learning strategies for analyzing omics data in some cutting-edge biological studies. Finally, the notes on new challenges for machine learning due to small-sample high-dimension are summarized from the key points of sample unbalance, white box, and causality.

Fibrillins.

Fibrillins are one of the major components of supramolecular fibrous structures in the extracellular matrix of elastic and nonelastic tissues, termed microfibrils. Microfibrils provide tensile strength in nonelastic tissues and scaffolds for the assembly of tropoelastin in elastic tissues, and act a regulator of growth factor bioavailability and activity in connective tissues. Mutations in fibrillins lead to a variety of connective tissue disorders including Marfan syndrome, stiff skin syndrome, dominant Weill-Marchesani syndrome, and others. Therefore, fibrillins are frequently studied to understand the pathophysiology of these diseases and to identify effective treatment strategies. Extraction of endogenous microfibrils from cells and tissues can aid in obtaining structural insights of microfibrils. Recombinant production of fibrillins is an important tool which can be utilized to study the properties of normal fibrillins and the consequences of disease causing mutations. Other means of studying the role of fibrillins in the context of various physiological settings is by knocking down the mRNA expression and analyzing its downstream consequences. It is also important to study the interactome of fibrillins by protein-protein interactions, which can be derailed in pathological situations. Interacting proteins can affect the assembly of fibrillins in cells and tissues or can affect the levels of growth factors in the matrix. This chapter describes important techniques in the field that facilitate answering relevant questions of fibrillin biology and pathophysiology.

Detecting protein aggregation and interaction in live cells: A guide to number and brightness.

The possibility to detect and quantify protein-protein interactions with good spatial and temporal resolutions in live cells is crucial in biology. Number and brightness is a powerful approach to detect both protein aggregation/desegregation dynamics and stoichiometry in live cells. Importantly, this technique can be applied in commercial set ups: both camera based and laser scanning microscopes. It provides pixel-by-pixel information on protein oligomeric states. If performed with two colours, the technique can retrieve the stoichiometry of the reaction under study. In this review, we discuss the strengths and weaknesses of the technique, stressing which are the correct acquisition parameters for a given microscope, the main challenges in analysis, and the limitations of the technique.

Microwestern Arrays for Systems-Level Analysis of SH2 Domain-Containing Proteins.

The Microwestern Array (MWA) method combines the scalability and miniaturization afforded by the Reverse Phase Lysate Array (RPLA) approach with the electrophoretic separation characteristic of the Western blot. This technology emulates the creation of an array of small Western blots on a single sheet of nitrocellulose allowing for the sensitive and quantitative measurement of hundreds of proteins from hundreds of cell lysates with minimal cost and maximal accuracy, precision, and reproducibility. The MWA is a versatile technology that can be easily configured for purposes such as antibody screening, cell signaling network inference, protein modification/phenotype regression analysis, and genomic/proteomic relationships. Accordingly, configurations for the MWA can be optimized for maximal numbers of proteins analyzed from small numbers of cell lysates, for small numbers of antibodies against large numbers of cell lysates, or for maximal resolution of protein size achieved by increased electrophoretic separation distance. For example, on a single gel, 6 samples can be printed 96 times if a few samples need to be assayed with a large number of antibodies. Alternatively, up to 100 samples can be assayed with four antibodies on a single gel. Intermediate configurations are also discussed.The efficiency of the MWA is orders of magnitude greater in reagents, labor, and time required per data point relative to the standard Western blotting method and orders of magnitude more sensitive than standard mass spectrometry methods. The MWA is therefore a very attractive approach for capturing global changes in protein abundances and modifications including tyrosine phosphorylation and SH2 domain binding sites.

Rosette Assay: Highly Customizable Dot-Blot for SH2 Domain Screening.

With a growing number of high-throughput studies, structural analyses, and availability of protein-protein interaction databases, it is now possible to apply web-based prediction tools to SH2 domain-interactions. However, in silico prediction is not always reliable and requires experimental validation. Rosette assay is a dot blot-based reverse-phase assay developed for the assessment of binding between SH2 domains and their ligands. It is conveniently customizable, allowing for low- to high-throughput analysis of interactions between various numbers of SH2 domains and their ligands, e.g., short peptides, purified proteins, and cell lysates. The binding assay is performed in a 96-well plate (MBA or MWA apparatus) in which a sample spotted membrane is incubated with up to 96 labeled SH2 domains. Bound domains are detected and quantified using a chemiluminescence or near-infrared fluorescence (IR) imaging system. In this chapter, we describe a practical protocol for rosette assay to assess interactions between synthesized tyrosine phosphorylated peptides and a library of GST-tagged SH2 domains. Since the methodology is not confined to assessment of SH2-pTyr interactions, rosette assay can be broadly utilized for ligand and drug screening using different protein interaction domains or antibodies.

Deciphering lymphoma pathogenesis via state-of-the-art mass spectrometry-based quantitative proteomics.

Mass spectrometry-based quantitative proteomics specifically applied to comprehend the pathogenesis of lymphoma has incremental value in deciphering the heterogeneity in complex deregulated molecular mechanisms/pathways of the lymphoma entities, implementing the current diagnostic and therapeutic strategies. Essential global, targeted and functional differential proteomics analyses although still evolving, have been successfully implemented to shed light on lymphoma pathogenesis to discover and explore the role of potential lymphoma biomarkers and drug targets. This review aims to outline and appraise the present status of MS-based quantitative proteomic approaches in lymphoma research, introducing the current state-of-the-art MS-based proteomic technologies, the opportunities they offer in biological discovery in human lymphomas and the related limitation issues arising from sample preparation to data evaluation. It is a synopsis containing information obtained from recent research articles, reviews and public proteomics repositories (PRIDE). We hope that this review article will aid, assimilate and assess all the information aiming to accelerate the development and validation of diagnostic, prognostic or therapeutic targets for an improved and empowered clinical proteomics application in lymphomas in the nearby future.

Kinetic analysis of IgM monoclonal antibodies for determination of dengue sample concentration using SPR technique.

Surface plasmon resonance (SPR) sensing is recently emerging as a valuable technique for measuring the binding constants, association and dissociation rate constants, and stoichimetry for a binding interaction kinetics in a number of emerging biological areas. This technique can be applied to the study of immune system diseases in order to contribute to improved understanding and evaluation of binding parameters for a variety of interactions between antigens and antibodies biochemically and clinically. Since the binding constants determination of an anti-protein dengue antibody (Ab) to a protein dengue antigen (Ag) is mostly complicated, the SPR technique aids a determination of binding parameters directly for a variety of particular dengue Ag_Ab interactions in the real-time. The study highlights the doctrine of real-time dengue Ag_Ab interaction kinetics as well as to determine the binding parameters that is performed with SPR technique. In addition, this article presents a precise prediction as a reference curve for determination of dengue sample concentration.

Screening for Host Factors Directly Interacting with RSV Protein: Microfluidics.

We present a high-throughput microfluidics platform to identify novel host cell binding partners of respiratory syncytial virus (RSV) matrix (M) protein. The device consists of thousands of reaction chambers controlled by micro-mechanical valves. The microfluidic device is mated to a microarray-printed custom-made gene library. These genes are then transcribed and translated on-chip, resulting in a protein array ready for binding to RSV M protein.Even small viral proteome, such as that of RSV, presents a challenge due to the fact that viral proteins are usually multifunctional and thus their interaction with the host is complex. Protein microarrays technology allows the interrogation of protein-protein interactions, which could possibly overcome obstacles by using conventional high throughput methods. Using microfluidics platform we have identified new host interactors of M involved in various cellular pathways. A number of microfluidics based assays have already provided novel insights into the virus-host interactome, and the results have important implications for future antiviral strategies aimed at targets of viral protein interactions with the host.

Precise protein assembly of array structures.

The assembly of proteins into various nano-objects with regular and periodic microstructures, i.e. protein arrays, is a fast-growing field in materials science. Due to the structural complexity of proteins, reports in this field are still quite limited. In this review, we summarize the recent developments in protein array construction by different driving forces, including electrostatic interactions, metal-ligand interactions, molecular recognition and protein-protein interactions. In line with our particular interest, assemblies driven by molecular recognition are particularly explored. Finally, functionalities of the obtained protein arrays are briefly discussed.