Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A Molecular Toolkit to Visualize Native Protein Assemblies in the Context of Human Disease.

ABSTRACT: We present a new molecular toolkit to investigate protein assemblies natively formed in the context of human disease. The system employs tunable microchips that can be decorated with switchable adaptor molecules to select for target proteins of interest and analyze them using molecular microscopy. Implementing our new streamlined microchip approach, we could directly visualize BRCA1 gene regulatory complexes from patient-derived cancer cells for the first time.

SUBMITTER: Gilmore BL

PROVIDER: S-EPMC4585766 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

A Molecular Toolkit to Visualize Native Protein Assemblies in the Context of Human Disease.

Gilmore Brian L BL Winton Carly E CE Demmert Andrew C AC Tanner Justin R JR Bowman Sam S Karageorge Vasilea V Patel Kaya K Sheng Zhi Z Kelly Deborah F DF

Scientific reports 20150923

We present a new molecular toolkit to investigate protein assemblies natively formed in the context of human disease. The system employs tunable microchips that can be decorated with switchable adaptor molecules to select for target proteins of interest and analyze them using molecular microscopy. Implementing our new streamlined microchip approach, we could directly visualize BRCA1 gene regulatory complexes from patient-derived cancer cells for the first time. ...[more]

PMID: 26395823

Similar Datasets

Localizing frustration in native proteins and protein assemblies.

Project description:We propose a method of quantifying the degree of frustration manifested by spatially local interactions in protein biomolecules. This method of localization smoothly generalizes the global criterion for an energy landscape to be funneled to the native state, which is in keeping with the principle of minimal frustration. A survey of the structural database shows that natural proteins are multiply connected by a web of local interactions that are individually minimally frustrated. In contrast, highly frustrated interactions are found clustered on the surface, often near binding sites. These binding sites become less frustrated upon complex formation.

| S-EPMC2148382 | biostudies-literature

pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens.

Project description:Identification of neoantigens is a critical step in predicting response to checkpoint blockade therapy and design of personalized cancer vaccines. This is a cross-disciplinary challenge, involving genomics, proteomics, immunology, and computational approaches. We have built a computational framework called pVACtools that, when paired with a well-established genomics pipeline, produces an end-to-end solution for neoantigen characterization. pVACtools supports identification of altered peptides from different mechanisms, including point mutations, in-frame and frameshift insertions and deletions, and gene fusions. Prediction of peptide:MHC binding is accomplished by supporting an ensemble of MHC Class I and II binding algorithms within a framework designed to facilitate the incorporation of additional algorithms. Prioritization of predicted peptides occurs by integrating diverse data, including mutant allele expression, peptide binding affinities, and determination whether a mutation is clonal or subclonal. Interactive visualization via a Web interface allows clinical users to efficiently generate, review, and interpret results, selecting candidate peptides for individual patient vaccine designs. Additional modules support design choices needed for competing vaccine delivery approaches. One such module optimizes peptide ordering to minimize junctional epitopes in DNA vector vaccines. Downstream analysis commands for synthetic long peptide vaccines are available to assess candidates for factors that influence peptide synthesis. All of the aforementioned steps are executed via a modular workflow consisting of tools for neoantigen prediction from somatic alterations (pVACseq and pVACfuse), prioritization, and selection using a graphical Web-based interface (pVACviz), and design of DNA vector-based vaccines (pVACvector) and synthetic long peptide vaccines. pVACtools is available at http://www.pvactools.org.

| S-EPMC7056579 | biostudies-literature

Preparation of Tunable Microchips to Visualize Native Protein Complexes for Single-Particle Electron Microscopy.

Project description:Recent advances in technology have enabled single-particle electron microscopy (EM) to rapidly progress as a preferred tool to study protein assemblies. Newly developed materials and methods present viable alternatives to traditional EM specimen preparation. Improved lipid monolayer purification reagents offer considerable flexibility, while ultrathin silicon nitride films provide superior imaging properties to the structural study of protein complexes. Here, we describe the steps for combining monolayer purification with silicon nitride microchips to create a tunable approach for the EM community.

| S-EPMC5947846 | biostudies-literature

Protein assemblies ejected directly from native membranes yield complexes for mass spectrometry.

Project description:Membrane proteins reside in lipid bilayers and are typically extracted from this environment for study, which often compromises their integrity. In this work, we ejected intact assemblies from membranes, without chemical disruption, and used mass spectrometry to define their composition. From Escherichia coli outer membranes, we identified a chaperone-porin association and lipid interactions in the β-barrel assembly machinery. We observed efflux pumps bridging inner and outer membranes, and from inner membranes we identified a pentameric pore of TonB, as well as the protein-conducting channel SecYEG in association with F1FO adenosine triphosphate (ATP) synthase. Intact mitochondrial membranes from Bos taurus yielded respiratory complexes and fatty acid-bound dimers of the ADP (adenosine diphosphate)/ATP translocase (ANT-1). These results highlight the importance of native membrane environments for retaining small-molecule binding, subunit interactions, and associated chaperones of the membrane proteome.

| S-EPMC6522346 | biostudies-literature

Molecular assemblies built with the artificial protein Pizza.

Project description:Recently an artificial protein named Pizza6 was reported, which possesses six identical tandem repeats and adopts a monomeric ? -propeller fold with sixfold structural symmetry. Pizza2, a truncated form that consists of a double tandem repeat, self-assembles into a trimer reconstructing the same propeller architecture as Pizza6. The ability of pizza proteins to self-assemble to form complete propellers makes them interesting building blocks to engineer larger symmetrical protein complexes such as symmetric nanoparticles. Here we have explored the self-assembly of Pizza2 fused to homo-oligomerizing peptides. In total, we engineered five different fusion proteins, of which three appeared to assemble successfully into larger complexes. Further characterization of these proteins showed one monodisperse designer protein with a structure close to the intended design. This protein was further fused to eGFP to investigate functionalization of the nanoparticle. The fusion protein was stable and could be expressed in high yield, showing that Pizza-based nanoparticles may be further decorated with functional domains.

| S-EPMC7337062 | biostudies-literature

Listening to your mass spectrometer: An open-source toolkit to visualize mass spectrometer data.

Project description:IntroductionWe have developed a set of tools built with open-source software that includes both a database and a visualization component to collect LC-MS/MS data and monitor quality control parameters.Description of toolTo display LC-MS/MS data we built a parsing tool using Python and standard libraries to parse the XML files after each clinical run. The tool parses the necessary information to store a database comprised of three distinct tables. Another component to this toolkit is an interactive data visualization tool that uses the data from the database. There are 5 different visualizations that present the data based on interchangeable parameters.Evaluation of toolUsing histogram visualization, we assessed how quality control parameters that feed our quality control algorithm, SMACK, which assists to improve the efficiency of data review and results, performed against the collective data. Using the newly identified QC parameter values from the toolkit, we compared the output of the SMACK algorithm; the number of QC flags changed in that there was a 1.7% (31/1944 observations) increase in flags and a 7.1% (138/1944 observations) decrease in presumed false positive flags, increasing the overall performance of SMACK which helped staff focus their time on reviewing more concerning QC failures.DiscussionWe have developed a customizable web-based dashboard for instrument performance monitoring for our opiate confirmation LC-MS/MS assay using data collected with each batch. The web-based platform allows users to monitor instrument performance and can encompass other instruments throughout the laboratory. This information can help the laboratory take proactive measures to maintain instruments, ultimately reducing the amount down time needed for maintenance.

| S-EPMC8739458 | biostudies-literature

Native or Non-Native Protein-Protein Docking Models? Molecular Dynamics to the Rescue.

Project description:Molecular docking excels at creating a plethora of potential models of protein-protein complexes. To correctly distinguish the favorable, native-like models from the remaining ones remains, however, a challenge. We assessed here if a protocol based on molecular dynamics (MD) simulations would allow distinguishing native from non-native models to complement scoring functions used in docking. To this end, the first models for 25 protein-protein complexes were generated using HADDOCK. Next, MD simulations complemented with machine learning were used to discriminate between native and non-native complexes based on a combination of metrics reporting on the stability of the initial models. Native models showed higher stability in almost all measured properties, including the key ones used for scoring in the Critical Assessment of PRedicted Interaction (CAPRI) competition, namely the positional root mean square deviations and fraction of native contacts from the initial docked model. A random forest classifier was trained, reaching a 0.85 accuracy in correctly distinguishing native from non-native complexes. Reasonably modest simulation lengths of the order of 50-100 ns are sufficient to reach this accuracy, which makes this approach applicable in practice.

| S-EPMC8444332 | biostudies-literature

A Robust Workflow for Native Mass Spectrometric Analysis of Affinity-Isolated Endogenous Protein Assemblies.

Project description:The central players in most cellular events are assemblies of macromolecules. Structural and functional characterization of these assemblies requires knowledge of their subunit stoichiometry and intersubunit connectivity. One of the most direct means for acquiring such information is so-called "native mass spectrometry (MS)", wherein the masses of the intact assemblies and parts thereof are accurately determined. It is of particular interest to apply native MS to the study of endogenous protein assemblies-i.e., those wherein the component proteins are expressed at endogenous levels in their natural functional states, rather than the overexpressed (sometimes partial) constructs commonly employed in classical structural studies, whose assembly can introduce stoichiometry artifacts and other unwanted effects. To date, the application of native MS to the elucidation of endogenous protein complexes has been limited by the difficulty in obtaining pristine cell-derived assemblies at sufficiently high concentrations for effective analysis. Here, to address this challenge, we present a robust workflow that couples rapid and efficient affinity isolation of endogenous protein complexes with a sensitive native MS readout. The resulting workflow has the potential to provide a wealth of data on the stoichiometry and intersubunit connectivity of endogenous protein assemblies-information that is key to successful integrative structural elucidation of biological systems.

| S-EPMC4790104 | biostudies-literature

Nanobody: a promising toolkit for molecular imaging and disease therapy.

Project description:Nanobodies are the recombinant variable domains of heavy-chain-only antibodies, with many unique properties such as small size, excellent solubility, superior stability, quick clearance from blood, and deep tissue penetration. As a result, nanobodies have become a promising tool for the diagnosis and therapy of diseases. As imaging tracers, nanobodies allow an early acquisition of high-quality images, provide a comprehensive evaluation of the disease, and subsequently enable a personalized precision therapy. As therapeutic agents, nanobodies enable a targeted therapy by lesion-specific delivery of drugs and effector domains, thereby improving the specificity and efficacy of the therapy. Up to date, a wide variety of nanobodies have been developed for a broad range of molecular targets and have played a significant role in patients with a broad spectrum of diseases. In this review, we aim to outline the current state-of-the-art research on the nanobodies for medical applications and then discuss the challenges and strategies for their further clinical translation.

| S-EPMC7815856 | biostudies-literature

bPE toolkit: toolkit for computational protein engineering.

Project description:We present a computational toolkit consisting of five utility tools, for performing basic operations on a protein structure file in PDB format. The toolkit consists of five different programs which can be integrated as part of a pipeline for computational protein structure characterization or as a standalone analysis package. The programs include tools for chirality check for amino acids (ProChiral), contact map generation (CoMa), data redundancy (DaRe), hydrogen bond potential energy (HyPE) and electrostatic interaction energy (EsInE). All programs in the toolkit can be accessed and downloaded through the following link: http://www.iitg.ac.in/bpetoolkit/.

| S-EPMC4571720 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data