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1.
Sci Data ; 7(1): 389, 2020 11 12.
Article in English | MEDLINE | ID: mdl-33184295

ABSTRACT

Data-Independent Acquisition (DIA) is a method to improve consistent identification and precise quantitation of peptides and proteins by mass spectrometry (MS). The targeted data analysis strategy in DIA relies on spectral assay libraries that are generally derived from a priori measurements of peptides for each species. Although Escherichia coli (E. coli) is among the best studied model organisms, so far there is no spectral assay library for the bacterium publicly available. Here, we generated a spectral assay library for 4,014 of the 4,389 annotated E. coli proteins using one- and two-dimensional fractionated samples, and ion mobility separation enabling deep proteome coverage. We demonstrate the utility of this high-quality library with robustness in quantitation of the E. coli proteome and with rapid-chromatography to enhance throughput by targeted DIA-MS. The spectral assay library supports the detection and quantification of 91.5% of all E. coli proteins at high-confidence with 56,182 proteotypic peptides, making it a valuable resource for the scientific community. Data and spectral libraries are available via ProteomeXchange (PXD020761, PXD020785) and SWATHAtlas (SAL00222-28).


Subject(s)
Escherichia coli Proteins/analysis , Escherichia coli/metabolism , Mass Spectrometry , Proteome/analysis , Peptide Library , Peptides/analysis
2.
Nat Commun ; 11(1): 5251, 2020 10 16.
Article in English | MEDLINE | ID: mdl-33067471

ABSTRACT

Data-independent acquisition (DIA) mass spectrometry, also known as Sequential Window Acquisition of all Theoretical Mass Spectra (SWATH), is a popular label-free proteomics strategy to comprehensively quantify peptides/proteins utilizing mass spectral libraries to decipher inherently multiplexed spectra collected linearly across a mass range. Although there are many spectral libraries produced worldwide, the quality control of these libraries is lacking. We present the DIALib-QC (DIA library quality control) software tool for the systematic evaluation of a library's characteristics, completeness and correctness across 62 parameters of compliance, and further provide the option to improve its quality. We demonstrate its utility in assessing and repairing spectral libraries for correctness, accuracy and sensitivity.


Subject(s)
Mass Spectrometry/methods , Proteomics/methods , Software , Humans , Mass Spectrometry/standards , Peptide Library , Peptides/chemistry , Peptides/genetics , Proteins/chemistry , Proteins/genetics , Proteomics/standards
3.
Sci Rep ; 7(1): 9718, 2017 09 08.
Article in English | MEDLINE | ID: mdl-28887440

ABSTRACT

Data-independent acquisition mass spectrometry promises higher performance in terms of quantification and reproducibility compared to data-dependent acquisition mass spectrometry methods. To enable high-accuracy quantification of Staphylococcus aureus proteins, we have developed a global ion library for data-independent acquisition approaches employing high-resolution time of flight or Orbitrap instruments for this human pathogen. We applied this ion library resource to investigate the time-resolved adaptation of S. aureus to the intracellular niche in human bronchial epithelial cells and in a murine pneumonia model. In epithelial cells, abundance changes for more than 400 S. aureus proteins were quantified, revealing, e.g., the precise temporal regulation of the SigB-dependent stress response and differential regulation of translation, fermentation, and amino acid biosynthesis. Using an in vivo murine pneumonia model, our data-independent acquisition quantification analysis revealed for the first time the in vivo proteome adaptation of S. aureus. From approximately 2.15 × 105 S. aureus cells, 578 proteins were identified. Increased abundance of proteins required for oxidative stress response, amino acid biosynthesis, and fermentation together with decreased abundance of ribosomal proteins and nucleotide reductase NrdEF was observed in post-infection samples compared to the pre-infection state.


Subject(s)
Bacterial Proteins/metabolism , Host-Pathogen Interactions , Proteome , Proteomics , Staphylococcal Infections/metabolism , Staphylococcal Infections/microbiology , Staphylococcus aureus/metabolism , Animals , Computational Biology/methods , Epithelial Cells/metabolism , Epithelial Cells/microbiology , Humans , Ions/metabolism , Mice , Peptides , Proteomics/methods , Respiratory Mucosa/metabolism , Respiratory Mucosa/microbiology
4.
Nat Commun ; 8(1): 291, 2017 08 21.
Article in English | MEDLINE | ID: mdl-28827567

ABSTRACT

Quantitative proteomics employing mass spectrometry is an indispensable tool in life science research. Targeted proteomics has emerged as a powerful approach for reproducible quantification but is limited in the number of proteins quantified. SWATH-mass spectrometry consists of data-independent acquisition and a targeted data analysis strategy that aims to maintain the favorable quantitative characteristics (accuracy, sensitivity, and selectivity) of targeted proteomics at large scale. While previous SWATH-mass spectrometry studies have shown high intra-lab reproducibility, this has not been evaluated between labs. In this multi-laboratory evaluation study including 11 sites worldwide, we demonstrate that using SWATH-mass spectrometry data acquisition we can consistently detect and reproducibly quantify >4000 proteins from HEK293 cells. Using synthetic peptide dilution series, we show that the sensitivity, dynamic range and reproducibility established with SWATH-mass spectrometry are uniformly achieved. This study demonstrates that the acquisition of reproducible quantitative proteomics data by multiple labs is achievable, and broadly serves to increase confidence in SWATH-mass spectrometry data acquisition as a reproducible method for large-scale protein quantification.SWATH-mass spectrometry consists of a data-independent acquisition and a targeted data analysis strategy that aims to maintain the favorable quantitative characteristics on the scale of thousands of proteins. Here, using data generated by eleven groups worldwide, the authors show that SWATH-MS is capable of generating highly reproducible data across different laboratories.


Subject(s)
Laboratory Proficiency Testing/methods , Mass Spectrometry/methods , Proteome/metabolism , Proteomics/methods , HEK293 Cells , Humans , Laboratories/standards , Laboratories/statistics & numerical data , Reproducibility of Results
5.
DNA Res ; 24(2): 143-157, 2017 Apr 01.
Article in English | MEDLINE | ID: mdl-28065881

ABSTRACT

Differential next-generation-omics approaches aid in the visualization of biological processes and pave the way for divulging important events and/or interactions leading to a functional output at cellular or systems level. To this end, we undertook an integrated Nextgen transcriptomics and proteomics approach to divulge differential gene expression of infant and pubertal rat Sertoli cells (Sc).Unlike, pubertal Sc, infant Sc are immature and fail to support spermatogenesis. We found exclusive association of 14 and 19 transcription factor binding sites to infantile and pubertal states of Sc, respectively, using differential transcriptomics-guided genome-wide computational analysis of relevant promoters employing 220 Positional Weight Matrices from the TRANSFAC database. Proteomic SWATH-MS analysis provided extensive quantification of nuclear and cytoplasmic protein fractions revealing 1,670 proteins differentially located between the nucleus and cytoplasm of infant Sc and 890 proteins differentially located within those of pubertal Sc. Based on our multi-omics approach, the transcription factor YY1 was identified as one of the lead candidates regulating differentiation of Sc.YY1 was found to have abundant binding sites on promoters of genes upregulated during puberty. To determine its significance, we generated transgenic rats with Sc specific knockdown of YY1 that led to compromised spermatogenesis.


Subject(s)
Cell Differentiation , Gene Expression Regulation, Developmental , Promoter Regions, Genetic , Sertoli Cells/physiology , Testis/physiology , YY1 Transcription Factor/metabolism , Animals , Gene Expression Profiling , Male , Proteomics , Rats , Rats, Wistar , Sertoli Cells/metabolism , Spermatogenesis , Testis/metabolism , YY1 Transcription Factor/physiology
6.
Mol Cell Proteomics ; 15(3): 1151-63, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26704149

ABSTRACT

Posttranslational modifications of proteins play an important role in biology. For example, phosphorylation is a key component in signal transduction in all three domains of life, and histones can be modified in such a variety of ways that a histone code for gene regulation has been proposed. Shotgun proteomics is commonly used to identify posttranslational modifications as well as chemical modifications from sample processing. However, it favors the detection of abundant peptides over the repertoire presented, and the data analysis usually requires advance specification of modification masses and target amino acids, their number constrained by available computational resources. Recent advances in data independent acquisition mass spectrometry technologies such as SWATH-MS enable a deeper recording of the peptide contents of samples, including peptides with modifications. Here, we present a novel approach that applies the power of SWATH-MS analysis to the automated pursuit of modified peptides. With the new SWATHProphet(PTM) functionality added to the open source SWATHProphet software, precursor ions consistent with a modification are identified along with the mass and localization of the modification in the peptide sequence in a sensitive and unrestricted manner without the need to anticipate the modifications in advance. Using this method, we demonstrate the detection of a wide assortment of modified peptides, many unanticipated, in samples containing unpurified synthetic peptides and human urine, as well as in phospho-enriched human tissue culture cell samples.


Subject(s)
Peptides/chemistry , Protein Processing, Post-Translational , Proteomics/methods , Tandem Mass Spectrometry/methods , Cell Line, Tumor , Computational Biology/methods , Histones/chemistry , Humans , Peptides/urine , Phosphorylation , Proteins/metabolism , Software
7.
Mol Cell Proteomics ; 14(5): 1411-8, 2015 May.
Article in English | MEDLINE | ID: mdl-25713123

ABSTRACT

Proteomics by mass spectrometry technology is widely used for identifying and quantifying peptides and proteins. The breadth and sensitivity of peptide detection have been advanced by the advent of data-independent acquisition mass spectrometry. Analysis of such data, however, is challenging due to the complexity of fragment ion spectra that have contributions from multiple co-eluting precursor ions. We present SWATHProphet software that identifies and quantifies peptide fragment ion traces in data-independent acquisition data, provides accurate probabilities to ensure results are correct, and automatically detects and removes contributions to quantitation originating from interfering precursor ions. Integration in the widely used open source Trans-Proteomic Pipeline facilitates subsequent analyses such as combining results of multiple data sets together for improved discrimination using iProphet and inferring sample proteins using ProteinProphet. This novel development should greatly help make data-independent acquisition mass spectrometry accessible to large numbers of users.


Subject(s)
Peptides/analysis , Proteins/analysis , Proteinuria/urine , Software , Tandem Mass Spectrometry/statistics & numerical data , Humans , Peptide Library , Proteins/chemistry , Proteolysis , Proteomics/methods , Reproducibility of Results , Trypsin/chemistry
8.
Org Biomol Chem ; 13(1): 199-206, 2015 Jan 07.
Article in English | MEDLINE | ID: mdl-25360848

ABSTRACT

Maculalactone A (1) constitutes a promising antifouling agent, inhibiting the formation of biofilms in marine and freshwater systems. In this study, we developed a new route, based on a late-stage formation of the butenolide core, leading to the total synthesis of maculalactone A (three steps, overall yield of 45%) and delivering material on a gram scale. In addition, analogues of the title compound were assayed concerning their biological activity, utilizing Artemia franciscana and Thamnocephalus platyurus. The most active analogue was functionalized with a rhodamine B fluorophore and was utilized in an in vivo staining experiment in Artemia salina. Two different tissues were found to accumulate this maculalactone A derivative.


Subject(s)
Benzofurans/chemistry , Benzofurans/chemical synthesis , Environment , Lactones/chemistry , Lactones/chemical synthesis , Animals , Artemia/metabolism , Benzofurans/metabolism , Chemistry Techniques, Synthetic , Lactones/metabolism , Microscopy , Structure-Activity Relationship
9.
Sci Data ; 1: 140031, 2014.
Article in English | MEDLINE | ID: mdl-25977788

ABSTRACT

Mass spectrometry is the method of choice for deep and reliable exploration of the (human) proteome. Targeted mass spectrometry reliably detects and quantifies pre-determined sets of proteins in a complex biological matrix and is used in studies that rely on the quantitatively accurate and reproducible measurement of proteins across multiple samples. It requires the one-time, a priori generation of a specific measurement assay for each targeted protein. SWATH-MS is a mass spectrometric method that combines data-independent acquisition (DIA) and targeted data analysis and vastly extends the throughput of proteins that can be targeted in a sample compared to selected reaction monitoring (SRM). Here we present a compendium of highly specific assays covering more than 10,000 human proteins and enabling their targeted analysis in SWATH-MS datasets acquired from research or clinical specimens. This resource supports the confident detection and quantification of 50.9% of all human proteins annotated by UniProtKB/Swiss-Prot and is therefore expected to find wide application in basic and clinical research. Data are available via ProteomeXchange (PXD000953-954) and SWATHAtlas (SAL00016-35).


Subject(s)
Databases, Protein , Mass Spectrometry/methods , Proteins/chemistry , Proteome , Humans , Proteome/chemistry , Proteomics/methods
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