AI Article Synopsis

  • Using multiple proteases in mass spectrometry-based proteomics allows for the identification of more peptides and proteins compared to using a single protease.
  • Trypsin and Tryp-N target different sites on the same amino acids (C-terminal and N-terminal respectively), enhancing the overall detection of proteins.
  • The study demonstrates that combining these proteases with S-Trap columns results in unique protein profiles from plasma and cell lysates, suggesting this dual approach yields better proteome coverage.

Article Abstract

Mass spectrometry-based proteomics combining more than one protease in parallel facilitates the identification of more peptides and proteins than when a single protease is used. Trypsin cleaves proteins C-terminally to arginine and lysine, while its mirroring protease Tryp-N cleaves N-terminally to the same amino acids. Here, we combine trypsin and Tryp-N with the commercially available S-Trap columns, which purify protein samples and catalyze digestion. Comparison of trypsin or Tryp-N coupled with S-Trap columns demonstrates plasma and cell lysate proteins unique to one protease. We thus suggest the use of both proteases in a complementary manner to obtain deeper proteome coverage.

Download full-text PDF

Source
http://dx.doi.org/10.1007/978-1-0716-3457-8_1DOI Listing

Publication Analysis

Top Keywords

proteome coverage
8
trypsin tryp-n
8
s-trap columns
8
increasing proteome
4
coverage combining
4
combining protein
4
protein digestion
4
tryp-n
4
digestion tryp-n
4
trypsin
4

Similar Publications

MAI-TargetFisher: A proteome-wide drug target prediction method synergetically enhanced by artificial intelligence and physical modeling.

Acta Pharmacol Sin

January 2025

Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.

Computational target identification plays a pivotal role in the drug development process. With the significant advancements of deep learning methods for protein structure prediction, the structural coverage of human proteome has increased substantially. This progress inspired the development of the first genome-wide small molecule targets scanning method.

View Article and Find Full Text PDF

Automated High-Throughput Affinity Capture-Mass Spectrometry Platform with Data-Independent Acquisition.

J Proteome Res

January 2025

Discovery Research, AbbVie, Inc., 1 North Waukegan Rd., North Chicago, Illinois 60064, United States.

Affinity capture (AC) combined with mass spectrometry (MS)-based proteomics is highly utilized throughout the drug discovery pipeline to determine small-molecule target selectivity and engagement. However, the tedious sample preparation steps and time-consuming MS acquisition process have limited its use in a high-throughput format. Here, we report an automated workflow employing biotinylated probes and streptavidin magnetic beads for small-molecule target enrichment in the 96-well plate format, ending with direct sampling from EvoSep Solid Phase Extraction tips for liquid chromatography (LC)-tandem mass spectrometry (MS/MS) analysis.

View Article and Find Full Text PDF

Myocardial infarction can lead to the loss of billions of cardiomyocytes, and while cell-based therapies are an option, immature nature of in vitro-generated human induced pluripotent stem cell (iPSC)-derived cardiomyocytes (iCMs) is a roadblock to their development. Existing iPSC differentiation protocols don't go beyond producing fetal iCMs. Recently, adult extracellular matrix (ECM) was shown to retain tissue memory and have some success driving tissue-specific differentiation in unspecified cells in various organ systems.

View Article and Find Full Text PDF

Data-independent acquisition (DIA) on ion mobility mass spectrometers enables deep proteome coverage and high data completeness in large-scale proteomics studies. For advanced acquisition schemes such as parallel accumulation serial fragmentation-based DIA (diaPASEF) stability of ion mobility (1/K) over time is crucial for consistent data quality. We found that minor changes in environmental air pressure systematically affect the vacuum pressure in the TIMS analyzer, causing ion mobility shifts.

View Article and Find Full Text PDF

[Vacuum ultraviolet laser dissociation and proteomic analysis of halogenated peptides].

Se Pu

February 2025

CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.

Chemical modifications are widely used in research fields such as quantitative proteomics and interaction analyses. Chemical-modification targets can be roughly divided into four categories, including those that integrate isotope labels for quantification purposes, probe the structures of proteins through covalent labeling or cross-linking, incorporate labels to improve the ionization or dissociation of characteristic peptides in complex mixtures, and affinity-enrich various poorly abundant protein translational modifications (PTMs). A chemical modification reaction needs to be simple and efficient for use in proteomics analysis, and should be performed without any complicated process for preparing the labeling reagent.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!