Integrated plant proteomics — putting the green genomes to work

2003 ◽  
Vol 30 (5) ◽  
pp. 471 ◽  
Author(s):  
Joshua L. Heazlewood ◽  
A. Harvey Millar
Keyword(s):  
Mass Spectrometry ◽  
Data Storage ◽  
Large Scale ◽  
Protein Identification ◽  
Mass Spectrometry Analysis ◽  
Plant Science ◽  
Genomic Information ◽  
Plant Proteomics ◽  
Spectrometry Analysis ◽  
Complete Set

Protein analysis has been at the heart of plant science for many years, but with new questions emerging from an abundance of genomic information and further improvements in technology, there are now new opportunities to undertake large-scale analyses and to move to more complex systems than has been possible previously. This explosion of interest and data is often referred to simply as proteomics, which is the study of the complete set of proteins expressed at a given time and place, the proteome. As its name suggests proteomics is intricately linked to allied technologies such as genomics, transcriptomics and metabolomics. In this review of plant proteomics we outline a series of issues that face the practical user, particularly the largest problem that currently faces researchers, the myriad of options to choose from. The choices, problems and pitfalls of entering into gel-based and non-gel-based arraying techniques are discussed together with advances in pre-fractionation of samples, liquid chromatography separations and subcellular analyses. Issues relating to mass spectrometry analysis and the eventual protein identification are outlined, and the dilemmas of data storage and analysis are highlighted. During this tour we provide a series of references to the literature — experimental, theoretical and technical — to illustrate the breadth of current investigations using these techniques.

scholarly journals Gel Electrophoresis/Electroelution Sorting Fractionator combined with Filter Aided Sample preparation (FASP) for deep proteomic analysis

2021 ◽  
Author(s):  
Yassel Ramos ◽  
Alexis Almeida ◽  
Jenis Carpio ◽  
Arielis Rodríguez-Ulloa ◽  
Yasser Perera ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Sample Preparation ◽  
Protein Identification ◽  
Protein Extraction ◽  
Complex Mixture ◽  
Fold Increase ◽  
Mass Spectrometry Analysis ◽  
Protein Fractionation ◽  
Spectrometry Analysis ◽  
Sds Page

AbstractSample preparation and protein fractionation are important issues in proteomic studies in spite of the technological achievements on protein mass spectrometry. Protein extraction procedures strongly affect the performance of fractionation methods by provoking protein dispersion in several fractions. The most notable exception is SDS-PAGE-based protein fractionation due to its extraordinary resolution and the effectiveness of SDS as a solubilizing agent. Its main limitation lies in the poor recovery of the gel-trapped proteins, where protein electro-elution is the most successful approach to overcome this drawback. We created a device to separate complex mixture of proteins and peptides (named “GEES fractionator”) that is based on the continuous Gel Electrophoresis/Electro-elution Sorting of these molecules. In an unsupervised process, complex mixtures of proteins or peptides are fractionated into the gel while separated fractions are simultaneously and sequentially electro-eluted to the solution containing wells. The performance of the device was studied for SDS-PAGE-based protein fractionation in terms of reproducibility, protein recovery and loading capacity. In the SDS-free PAGE setup, complex peptide mixtures can also be fractionated. More than 11 700 proteins were identified in the whole-cell lysate of the CaSki cell line by using the GEES fractionator combined with the Filter Aided Sample Preparation (FASP) method and mass spectrometry analysis. GEES-based proteome characterization shows a 1.7 fold increase in the number of identified proteins compared to the unfractionated sample analysis. Proteins involved in the co-regulated transcription activity, as well as cancer related pathways such as apoptosis signaling, P53 and RAS pathways are more represented in the protein identification output of GEES-based fractionation approaches.

scholarly journals Unraveling endometriosis-associated ovarian carcinomas using integrative proteomics

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 189
Author(s):  
Felix Leung ◽  
Marcus Q. Bernardini ◽  
Kun Liang ◽  
Ihor Batruch ◽  
Marjan Rouzbahman ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Cell Carcinoma ◽  
Protein Identification ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
Mass Spectrometry Analysis ◽  
Ovarian Carcinomas ◽  
Spectrometry Analysis ◽  
Proteomic Data ◽  
Fresh Frozen

Background: To elucidate potential markers of endometriosis and endometriosis-associated endometrioid and clear cell ovarian carcinomas using mass spectrometry-based proteomics. Methods: A total of 21 fresh, frozen tissues from patients diagnosed with clear cell carcinoma, endometrioid carcinoma, endometriosis and benign endometrium were subjected to an in-depth liquid chromatography-tandem mass spectrometry analysis on the Q-Exactive Plus. Protein identification and quantification were performed using MaxQuant, while downstream analyses were performed using Perseus and various bioinformatics databases. Results: Approximately 9000 proteins were identified in total, representing the first in-depth proteomic investigation of endometriosis and its associated cancers. This proteomic data was shown to be biologically sound, with minimal variation within patient cohorts and recapitulation of known markers. While moderate concordance with genomic data was observed, it was shown that such data are limited in their abilities to represent tumours on the protein level and to distinguish tumours from their benign precursors. Conclusions: The proteomic data suggests that distinct markers may differentiate endometrioid and clear cell carcinoma from endometriosis. These markers may be indicators of pathobiology but will need to be further investigated. Ultimately, this dataset may serve as a basis to unravel the underlying biology of the endometrioid and clear cell cancers with respect to their endometriotic origins.

scholarly journals Alternative proteins are functional regulators in cell reprogramming by PKA activation

2020 ◽  
Vol 48 (14) ◽  
pp. 7864-7882 ◽  
Author(s):  
Tristan Cardon ◽  
Julien Franck ◽  
Etienne Coyaud ◽  
Estelle M N Laurent ◽  
Marina Damato ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Large Scale ◽  
Epithelial Mesenchymal Transition ◽  
Gene Annotation ◽  
Mass Spectrometry Analysis ◽  
Cell Reprogramming ◽  
Pathway Enrichment Analysis ◽  
Mesenchymal Transition ◽  
Spectrometry Analysis ◽  
Biological Studies

Abstract It has been recently shown that many proteins are lacking from reference databases used in mass spectrometry analysis, due to their translation templated on alternative open reading frames. This questions our current understanding of gene annotation and drastically expands the theoretical proteome complexity. The functions of these alternative proteins (AltProts) still remain largely unknown. We have developed a large-scale and unsupervised approach based on cross-linking mass spectrometry (XL-MS) followed by shotgun proteomics to gather information on the functional role of AltProts by mapping them back into known signalling pathways through the identification of their reference protein (RefProt) interactors. We have identified and profiled AltProts in a cancer cell reprogramming system: NCH82 human glioma cells after 0, 16, 24 and 48 h Forskolin stimulation. Forskolin is a protein kinase A activator inducing cell differentiation and epithelial–mesenchymal transition. Our data show that AltMAP2, AltTRNAU1AP and AltEPHA5 interactions with tropomyosin 4 are downregulated under Forskolin treatment. In a wider perspective, Gene Ontology and pathway enrichment analysis (STRING) revealed that RefProts associated with AltProts are enriched in cellular mobility and transfer RNA regulation. This study strongly suggests novel roles of AltProts in multiple essential cellular functions and supports the importance of considering them in future biological studies.

scholarly journals A New Drug Discovery Approach Based on Thermal Proteome Profiling to Develop More Effective Drugs

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Elham Gholizadeh ◽  
Mostafa Rezaei-Tavirani ◽  
Alireza Emadi ◽  
Reza Karbalaei ◽  
Ali Khaleghian
Keyword(s):  
Mass Spectrometry ◽  
Protein Interactions ◽  
Large Scale ◽  
Protein Extraction ◽  
Mass Spectrometry Analysis ◽  
Structural Stabilization ◽  
Proteome Profiling ◽  
Spectrometry Analysis ◽  
Drug Concentrations ◽  
Low Efficiency

: The search for disease-related targets and studying drug-protein and protein-protein interactions are central issues that would accelerate the clinical approval of a drug. Also, by developing an accurate method in this regard, time and resource consumption will significantly decrease. The low efficiency of some drugs in humans is a grave issue leading to a low rate of FDA approval after spending billions of dollars and decades of research. Several strategies and methods have been expanded to fill this gap, such as drug affinity responsive target stability (DARTS), stability of proteins from rates of oxidation (SPROX), cellular thermal shift assay (CETSA), and finally, thermal proteome profiling (TPP). The TPP is based on the combination of CETSA and quantitative mass spectrometry. Among recently introduced proteomics technologies, TPP demonstrates the ability to offer detailed proteomic profiles for the large-scale analysis of protein-ligand interactions, including endogenous ligands and proteins like cofactors and metabolites. TPP facilitates the identification of the markers governing drug efficacy and toxicity and provides an unbiased measure for estimating the rate of drug-target engagement. At a glance at TPP steps, after protein extraction, the molecule is exposed to different temperatures and drug concentrations. After discarding solubilized and stabilized proteins, the protein’s identity is investigated by mass spectrometry analysis. As a result of the protein’s structural stabilization after binding to its substrate, TTP helps to accurately identify target proteins with high throughput. In this study, we aimed to introduce the basics of this method and review most recent studies on this technique.

scholarly journals Unraveling endometriosis-associated ovarian carcinomas using integrative proteomics

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 189
Author(s):  
Felix Leung ◽  
Marcus Q. Bernardini ◽  
Kun Liang ◽  
Ihor Batruch ◽  
Marjan Rouzbahman ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Cell Carcinoma ◽  
Protein Identification ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
Mass Spectrometry Analysis ◽  
Ovarian Carcinomas ◽  
Spectrometry Analysis ◽  
Proteomic Data ◽  
Fresh Frozen

Background: To elucidate potential markers of endometriosis and endometriosis-associated endometrioid and clear cell ovarian carcinomas using mass spectrometry-based proteomics. Methods: A total of 21 fresh, frozen tissues from patients diagnosed with clear cell carcinoma, endometrioid carcinoma, endometriosis and benign endometrium were subjected to an in-depth liquid chromatography-tandem mass spectrometry analysis on the Q-Exactive Plus. Protein identification and quantification were performed using MaxQuant, while downstream analyses were performed using Perseus and various bioinformatics databases. Results: Approximately 9000 proteins were identified in total, representing the first in-depth proteomic investigation of endometriosis and its associated cancers. This proteomic data was shown to be biologically sound, with minimal variation within patient cohorts and recapitulation of known markers. While moderate concordance with genomic data was observed, it was shown that such data are limited in their abilities to represent tumours on the protein level and to distinguish tumours from their benign precursors. Conclusions: The proteomic data suggests that distinct markers may differentiate endometrioid and clear cell carcinoma from endometriosis. These markers may be indicators of pathobiology but will need to be further investigated. Ultimately, this dataset may serve as a basis to unravel the underlying biology of the endometrioid and clear cell cancers with respect to their endometriotic origins.

scholarly journals A dry method for preserving tear protein samples

2017 ◽  
Author(s):  
Weiwei Qin ◽  
Chan Zhao ◽  
Linpei Zhang ◽  
Ting Wang ◽  
Youhe Gao
Keyword(s):  
Mass Spectrometry ◽  
Large Scale ◽  
Low Cost ◽  
Mass Spectrometry Analysis ◽  
Protein Patterns ◽  
Spectrometry Analysis ◽  
Disease Biomarkers ◽  
Tear Protein ◽  
Significant Difference ◽  
Biomarker Research

AbstractTears covering the ocular surface is an important bio-fluid containing thousands of molecules, including proteins, lipids, metabolites, nucleic acids, and electrolytes. Tears are valuable resources for biomarker research of ocular and even systemic diseases. For application in biomarker studies, tear samples should ideally be stored using a simple, low-cost, and efficient method along with the patient’s medical records. For this purpose, we developed a novel Schirmer’s strip-based dry method that allows for storage of tear samples in vacuum bags at room temperature. Using this method, tear protein patterns can also be preserved. Liquid chromatography-mass spectrometry/mass spectrometry analysis of proteins recovered from the dry method and traditional wet method showed no significant difference. Some tissue/organ enriched proteins were identified in tear, thus tear might be a good window for monitoring the change of these tissues or organs. This dry method facilitates sample transportation and enables the storage of tear samples on a large scale, increasing the availability of samples for studying disease biomarkers in tears.

scholarly journals DIA-based systems biology approach unveils novel E3-dependent responses to a metabolic shift

2020 ◽  
Author(s):  
Ozge Karayel ◽  
André C. Michaelis ◽  
Matthias Mann ◽  
Brenda A. Schulman ◽  
Christine R. Langlois
Keyword(s):  
Mass Spectrometry ◽  
Systems Biology ◽  
Large Scale ◽  
E3 Ligase ◽  
Cellular Systems ◽  
Mass Spectrometry Analysis ◽  
High Throughput Analysis ◽  
Metabolic Switch ◽  
Spectrometry Analysis ◽  
Yeast Proteome

ABSTRACTYeast Saccharomyces cerevisiae is a powerful model system for systems-wide biology screens and large-scale proteomics methods. Nearly complete proteomics coverage has been achieved owing to advances in mass spectrometry. However, it remains challenging to scale this technology for rapid and high-throughput analysis of the yeast proteome to investigate biological pathways on a global scale. Here we describe a systems biology workflow employing plate-based sample preparation and rapid, single-run data independent mass spectrometry analysis (DIA). Our approach is straightforward, easy to implement and enables quantitative profiling and comparisons of hundreds of nearly complete yeast proteomes in only a few days. We evaluate its capability by characterizing changes in the yeast proteome in response to environmental perturbations, identifying distinct responses to each of them, and providing a comprehensive resource of these responses. Apart from rapidly recapitulating previously observed responses, we characterized carbon source dependent regulation of the GID E3 ligase, an important regulator of cellular metabolism during the switch between gluconeogenic and glycolytic growth conditions. This unveiled new regulatory targets of the GID ligase during a metabolic switch. Our comprehensive yeast system read-out pinpointed effects of a single deletion or point mutation in the GID complex on the global proteome, allowing the identification and validation novel targets of the GID E3 ligase. Moreover, our approach allowed the identification of targets from multiple cellular pathways that display distinct patterns of regulation. Although developed in yeast, rapid whole proteome-based readouts can serve as comprehensive systems-level assay in all cellular systems.

scholarly journals In situ protein identification and mapping using secondary ion mass spectrometry

2019 ◽  
Author(s):  
Anna M. Kotowska ◽  
Philip M. Williams ◽  
Jonathan W. Aylott ◽  
Alexander G. Shard ◽  
Morgan R. Alexander ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Protein Identification ◽  
Secondary Ion Mass Spectrometry ◽  
Ion Beam ◽  
Mass Spectrometry Analysis ◽  
Protein Film ◽  
Spectrometry Analysis ◽  
Ion Mass Spectrometry ◽  
Secondary Ion

AbstractProtein characterisation at surfaces currently requires digestion prior to either liquid extraction of the protein for mass spectrometry analysis or in situ matrix-assisted desorption/ionisation. Here, we show that direct assignment of individual proteins and mixtures at surfaces can be achieved by employing secondary ion mass spectrometry (SIMS) with gas cluster ion beam (GCIB) bombardment and an Orbitrap™ analyser. Potential applications of the method are illustrated by demonstrating imaging of a protein film masked by a gold grid and the analysis of a protein monolayer biochip.

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