A database of accurate electrophoretic migration patterns for human proteins in cell lines.
Mylonas, R.; Potts, A.; Waridel, P.; Barblan, J.; Rubio, M. d. C. C.; Widmann, C.; Quadroni, M.
Show abstract
Native molecular weight (MW) is one of the defining features of proteins. Denaturing gel electrophoresis (SDS-PAGE) is a very popular technique for separating proteins and determining their MW. Coupled with antibody-based detection, SDS-PAGE is widely applied for protein identification and quantitation. Yet, electrophoresis is poorly reproducible and the MWs obtained are often inaccurate. This hampers antibody validation and negatively impacts the reliability of western blot data, resulting worldwide in a considerable waste of reagents and labour. To alleviate these problems there is a need to establish a database of reference MWs measured by SDS-PAGE. Using mass spectrometry as an orthogonal detection method, we acquired electrophoretic migration patterns for approximately 10000 human proteins in five commonly used cell lines. We applied a robust internal calibration of migration to determine accurate and reproducible molecular weights. This in turn allows merging replicates to increase accuracy, but also enables comparing different cell lines. Mining of the data obtained highlights structural factors that affect migration of distinct classes of proteins. We also show that the information produced recapitulates known post-translational modifications and differential splicing and can be used to formulate hypotheses on new or poorly known processing events. The full information is freely accessible as a web resource through a user friendly graphical interface (https://pumba.dcsr.unil.ch/). We anticipate that this database will be useful to investigators worldwide for troubleshooting western blot experiments, but could also contribute to the characterization of human proteoforms.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Machine learning on large-scale proteomics data identifies tissue- and cell type-specific proteins 96%
- Extensive and accurate benchmarking of DIA acquisition methods and software tools using a complex proteomic standard 96%
- The Personalized Proteome: Comparing Proteogenomics and Open Variant Search Approaches for Single Amino Acid Variant Detection 96%
Similar papers in this journal
Similar papers in this journal
- Cross-linking/Mass Spectrometry Combined with Ion Mobility on a timsTOF Pro Instrument for Structural Proteomics 96%
- Single Cell Chemical Proteomics (SCCP) Interrogates the Timing and Heterogeneity of Cancer Cell Commitment to Death 95%
- Boosting detection of low abundance proteins in thermal proteome profiling experiments by addition of an isobaric trigger channel to TMT multiplexes 95%
Similar papers in this journal
- A Proteomic Platform to Identify Off-Target Proteins Associated with Therapeutic Modalities that Induce Protein Degradation or Gene Silencing 95%
- Comprehensive cell surface proteomics defines markers of classical, intermediate and non-classical monocytes 94%
- Identification of new interactors of eIF3f by endogenous proximity-dependent biotin labelling in human muscle cells. 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.