scholarly journals A minimalist approach to protein identification

2017 ◽  
Author(s):  
G. Sampath

This work demonstrates a minimal single-molecule proteolysis-free approach that requires very small samples, is non-destructive, and can be translated with currently available technology into a portable device for possible use in the field or in an academic setting, or in a pre-screening step preceding conventional mass spectrometry.<br>

2017 ◽  
Author(s):  
G. Sampath

This work demonstrates a minimal single-molecule proteolysis-free approach that requires very small samples, is non-destructive, and can be translated with currently available technology into a portable device for possible use in the field or in an academic setting, or in a pre-screening step preceding conventional mass spectrometry.<br>


2017 ◽  
Author(s):  
G. Sampath

AbstractComputations on proteome sequence databases show that most proteins can be identified from a protein’s isoelectric point (IEP) and digitized linear sequence volume (equal to the total volume of its residues). This is illustrated with four proteomes: H. pylori (1553 proteins), E. coli (4306 proteins), S. cerevisiae (6721 proteins), and H. sapiens (20207 proteins); the identification rate exceeds 90% in all four cases for appropriate parameter values. IEP can be obtained with 1-d gel electrophoresis (GE), whose accuracy is better than 0.01. Linear protein sequence volumes of unbroken proteins can be obtained with a sub-nanometer diameter nanopore that can measure residue volume with a resolution of 0.07-0.1 nm3 (Kennedy et al., Nature Nanotech., 2016, 11, 968-976; Dong et al., ACS Nano, 2017, doi: 10.1021/acsnano.6b08452); the blockade current due to a translocating protein is roughly proportional to the volume it excludes in the pore. There is no need to identify any of the residues. More than 90% of all the proteins have estimated translocation times higher than 1 μs, which is within the time resolution of available detectors. This is a minimalist proteolysis-free GE-and nanopore-based single-molecule approach requires very small samples, is non-destructive (the sample can be recovered for reuse), and can be translated with currently available technology into a portable device for possible use in the field, an academic lab, or a pre-screening step preceding conventional mass spectrometry.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Florian Leonardus Rudolfus Lucas ◽  
Roderick Corstiaan Abraham Versloot ◽  
Liubov Yakovlieva ◽  
Marthe T. C. Walvoort ◽  
Giovanni Maglia

AbstractNanopores are single-molecule sensors used in nucleic acid analysis, whereas their applicability towards full protein identification has yet to be demonstrated. Here, we show that an engineered Fragaceatoxin C nanopore is capable of identifying individual proteins by measuring peptide spectra that are produced from hydrolyzed proteins. Using model proteins, we show that the spectra resulting from nanopore experiments and mass spectrometry share similar profiles, hence allowing protein fingerprinting. The intensity of individual peaks provides information on the concentration of individual peptides, indicating that this approach is quantitative. Our work shows the potential of a low-cost, portable nanopore-based analyzer for protein identification.


Author(s):  
Rocco J. Rotello ◽  
Timothy D. Veenstra

: In the current omics-age of research, major developments have been made in technologies that attempt to survey the entire repertoire of genes, transcripts, proteins, and metabolites present within a cell. While genomics has led to a dramatic increase in our understanding of such things as disease morphology and how organisms respond to medications, it is critical to obtain information at the proteome level since proteins carry out most of the functions within the cell. The primary tool for obtaining proteome-wide information on proteins within the cell is mass spectrometry (MS). While it has historically been associated with the protein identification, developments over the past couple of decades have made MS a robust technology for protein quantitation as well. Identifying quantitative changes in proteomes is complicated by its dynamic nature and the inability of any technique to guarantee complete coverage of every protein within a proteome sample. Fortunately, the combined development of sample preparation and MS methods have made it capable to quantitatively compare many thousands of proteins obtained from cells and organisms.


Author(s):  
Luan Felipe Campos Oliveira ◽  
Damila Rodrigues Morais ◽  
Deleon Nascimento Correa ◽  
Jacqueline de Morais Campêlo ◽  
Alessandra Sussulini ◽  
...  

Metabolites ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 160
Author(s):  
Evelyn Rampler ◽  
Gerrit Hermann ◽  
Gerlinde Grabmann ◽  
Yasin El Abiead ◽  
Harald Schoeny ◽  
...  

Non-targeted analysis by high-resolution mass spectrometry (HRMS) is an essential discovery tool in metabolomics. To date, standardization and validation remain a challenge. Community-wide accepted cost-effective benchmark materials are lacking. In this work, we propose yeast (Pichia pastoris) extracts derived from fully controlled fermentations for this purpose. We established an open-source metabolite library of >200 identified metabolites based on compound identification by accurate mass, matching retention times, and MS/MS, as well as a comprehensive literature search. The library includes metabolites from the classes of (1) organic acids and derivatives (2) nucleosides, nucleotides, and analogs, (3) lipids and lipid-like molecules, (4) organic oxygen compounds, (5) organoheterocyclic compounds, (6) organic nitrogen compounds, and (7) benzoids at expected concentrations ranges of sub-nM to µM. As yeast is a eukaryotic organism, key regulatory elements are highly conserved between yeast and all annotated metabolites were also reported in the human metabolome database (HMDB). Orthogonal state-of-the-art reversed-phase (RP-) and hydrophilic interaction chromatography mass spectrometry (HILIC-MS) non-targeted analysis and authentic standards revealed that 104 out of the 206 confirmed metabolites were reproducibly recovered and stable over the course of three years when stored at −80 °C. Overall, 67 out of these 104 metabolites were identified with comparably stable areas over all three yeast fermentation and are the ideal starting point for benchmarking experiments. The provided yeast benchmark material enabled not only to test for the chemical space and coverage upon method implementation and developments but also allowed in-house routines for instrumental performance tests. Transferring the quality control strategy of proteomics workflows based on the number of protein identification in HeLa extracts, metabolite IDs in the yeast benchmarking material can be used as metabolomics quality control. Finally, the benchmark material opens new avenues for batch-to-batch corrections in large-scale non-targeted metabolomics studies.


1998 ◽  
Vol 19 (6) ◽  
pp. 1006-1014 ◽  
Author(s):  
Thierry Rabilloud ◽  
Sylvie Kieffer ◽  
Vincent Procaccio ◽  
Mathilde Louwagie ◽  
Paul L. Courchesne ◽  
...  

2016 ◽  
Vol 247 ◽  
pp. 289-297 ◽  
Author(s):  
Seyed Ahmad Mireei ◽  
Rahmatollah Bagheri ◽  
Morteza Sadeghi ◽  
Ali Shahraki

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