Author Correction: Informed-Proteomics: open-source software package for top-down proteomics.

In the version of this article initially published, the authors erroneously reported the search mode that was used for ProSightPC 3.0 in the Online Methods and in Supplementary Table 3.

Isolated low toe-brachial index is associated with increased mortality and morbidity: a retrospective cohort study.

OBJECTIVE: The aim was to assess the prognostic impact of perfusion assessments including ankle-brachial Index (ABI) and toe-brachial Index (TBI) on survival of patients who present with diabetic foot ulceration and to analyse clinical outcomes when patients are categorised into three levels of limb ischaemia. METHOD: This was a retrospective cohort analysis of consecutive patients presenting with foot ulceration. Patients continued with their standard of care, after having baseline assessments of limb perfusion. Patients were retrospectively categorised into three groups according to baseline ABI and TBI: Group 1 (n=31) non-ischaemic (TBI≥0.75, ABI≥0.9), Group 2 (n=67) isolated low TBI with foot ischaemia (TBI<0.75, ABI≥0.90) and Group 3 (n=30) foot-leg ischaemia (TBI<0.75, ABI<0.90). RESULTS: A total of 128 patients took part in the study. Low TBI was associated with a significant decrease in patient survival (42±20 versus 51±16 months, p=0.011). There was a progressive and significant decline in mean patient survival time (51±16 versus 44±20 versus 39±22 months, respectively, for ANOVA across the three groups, p=0.04). Patients with isolated low TBI had angioplasty and bypass at a rate similar to that of patients in Group 3 (low ABI and low TBI). The proportion of angioplasties was significantly higher in the isolated low TBI (19.4% (13/67) versus the non-ischaemic 3.2% (1/31), p=0.033). Such revascularisation resulted in ulcer healing within the foot ischaemic group that was similar to the non-ischaemic group (68% versus 60% over 12 months, p=0.454). CONCLUSION: Regardless of ABI level, measurement of TBI identifies patients with isolated low TBI who require specialised care pathways and revascularisation to achieve ulcer healing that is similar to non-ischaemic patients.

Informed-Proteomics: open-source software package for top-down proteomics.

Top-down proteomics, the analysis of intact proteins in their endogenous form, preserves valuable information about post-translation modifications, isoforms and proteolytic processing. The quality of top-down liquid chromatography-tandem MS (LC-MS/MS) data sets is rapidly increasing on account of advances in instrumentation and sample-processing protocols. However, top-down mass spectra are substantially more complex than conventional bottom-up data. New algorithms and software tools for confident proteoform identification and quantification are needed. Here we present Informed-Proteomics, an open-source software suite for top-down proteomics analysis that consists of an LC-MS feature-finding algorithm, a database search algorithm, and an interactive results viewer. We compare our tool with several other popular tools using human-in-mouse xenograft luminal and basal breast tumor samples that are known to have significant differences in protein abundance based on bottom-up analysis.

Increasing the Separation Capacity of Intact Histone Proteoforms Chromatography Coupling Online Weak Cation Exchange-HILIC to Reversed Phase LC UVPD-HRMS.

Top-down proteomics is an emerging analytical strategy to characterize combinatorial protein post-translational modifications (PTMs). However, sample complexity and small mass differences between chemically closely related proteoforms often limit the resolution attainable by separations employing a single liquid chromatographic (LC) principle. In particular, for ultramodified proteins like histones, extensive and time-consuming fractionation is needed to achieve deep proteoform coverage. Herein, we present the first online nanoflow comprehensive two-dimensional liquid chromatography (nLC×LC) platform top-down mass spectrometry analysis of histone proteoforms. The described two-dimensional LC system combines weak cation exchange chromatography under hydrophilic interaction LC conditions (i.e., charge- and hydrophilicity-based separation) with reversed phase liquid chromatography (i.e., hydrophobicity-based separation). The two independent chemical selectivities were run at nanoflows (300 nL/min) and coupled online with high-resolution mass spectrometry employing ultraviolet photodissociation (UVPD-HRMS). The nLC×LC workflow increased the number of intact protein masses observable relative to one-dimensional approaches and allowed characterization of hundreds of proteoforms starting from limited sample quantities (∼1.5 µg).

PIXiE: an algorithm for automated ion mobility arrival time extraction and collision cross section calculation using global data association.

MOTIVATION: Drift tube ion mobility spectrometry coupled with mass spectrometry (DTIMS-MS) is increasingly implemented in high throughput omics workflows, and new informatics approaches are necessary for processing the associated data. To automatically extract arrival times for molecules measured by DTIMS at multiple electric fields and compute their associated collisional cross sections (CCS), we created the PNNL Ion Mobility Cross Section Extractor (PIXiE). The primary application presented for this algorithm is the extraction of data that can then be used to create a reference library of experimental CCS values for use in high throughput omics analyses. RESULTS: We demonstrate the utility of this approach by automatically extracting arrival times and calculating the associated CCSs for a set of endogenous metabolites and xenobiotics. The PIXiE-generated CCS values were within error of those calculated using commercially available instrument vendor software. AVAILABILITY AND IMPLEMENTATION: PIXiE is an open-source tool, freely available on Github. The documentation, source code of the software, and a GUI can be found at https://github.com/PNNL-Comp-Mass-Spec/PIXiE and the source code of the backend workflow library used by PIXiE can be found at https://github.com/PNNL-Comp-Mass-Spec/IMS-Informed-Library . CONTACT: erin.baker@pnnl.gov or thomas.metz@pnnl.gov. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Targeted proteomics data interpretation with DeepMRM.

Targeted proteomics is widely utilized in clinical proteomics; however, researchers often devote substantial time to manual data interpretation, which hinders the transferability, reproducibility, and scalability of this approach. We introduce DeepMRM, a software package based on deep learning algorithms for object detection developed to minimize manual intervention in targeted proteomics data analysis. DeepMRM was evaluated on internal and public datasets, demonstrating superior accuracy compared with the community standard tool Skyline. To promote widespread adoption, we have incorporated a stand-alone graphical user interface for DeepMRM and integrated its algorithm into the Skyline software package as an external tool.

In-depth proteomic analyses of direct expressed prostatic secretions.

It is expected that clinically obtainable fluids that are proximal to organs contain a repertoire of secreted proteins and shed cells reflective of the physiological state of that tissue and thus represent potential sources for biomarker discovery, investigation of tissue-specific biology, and assay development. The prostate gland secretes many proteins into a prostatic fluid that combines with seminal vesicle fluids to promote sperm activation and function. Proximal fluids of the prostate that can be collected clinically are seminal plasma and expressed prostatic secretion (EPS) fluids. In the current study, MudPIT-based proteomics was applied to EPS obtained from nine men with prostate cancer and resulted in the confident identification of 916 unique proteins. Systematic bioinformatics analyses using publicly available microarray data of 21 human tissues (Human Gene Atlas), the Human Protein Atlas database, and other published proteomics data of shed/secreted proteins were performed to systematically analyze this comprehensive proteome. Therefore, we believe this data will be a valuable resource for the research community to study prostate biology and potentially assist in the identification of novel prostate cancer biomarkers. To further streamline this process, the entire data set was deposited to the Tranche repository for use by other researchers.

An Arabidopsis flavonoid transporter is required for anther dehiscence and pollen development.

FLOWER FLAVONOID TRANSPORTER (FFT) encodes a multidrug and toxin efflux family transporter in Arabidopsis thaliana. FFT (AtDTX35) is highly transcribed in floral tissues, the transcript being localized to epidermal guard cells, including those of the anthers, stigma, siliques and nectaries. Mutant analysis demonstrates that the absence of FFT transcript affects flavonoid levels in the plant and that the altered flavonoid metabolism has wide-ranging consequences. Root growth, seed development and germination, and pollen development, release and viability are all affected. Spectrometry of mutant versus wild-type flowers shows altered levels of a glycosylated flavonol whereas anthocyanin seems unlikely to be the substrate as previously speculated. Thus, as well as adding FFT to the incompletely described flavonoid transport network, it is found that correct reproductive development in Arabidopsis is perturbed when this particular transporter is missing.

CYTOKININ INDEPENDENT-1 regulates levels of different forms of cytokinin in Arabidopsis and mediates response to nutrient stress.

The gene CYTOKININ INDEPENDENT-1 (CKI-1), previously isolated by enhancer trap screening, has been hypothesised to play a role in cytokinin perception. Alternative hypotheses suggest that it is required for the production of cytokinins or that it has no direct role in cytokinin signalling but simply interferes with the pathway when overexpressed. These hypotheses were investigated by producing transgenic Arabidopsis plants expressing CKI-1 cDNA in antisense orientation. In standard conditions, the phenotype of the plants was similar to wild type. Significantly higher amounts of the free base and riboside forms of cytokinin and lower amounts of membrane-impermeable cytokinins were found in the antisense lines. This supports the hypothesis that CKI-1 is involved in cytokinin perception and demonstrates the existence of a feedback loop altering cytokinin metabolism in response to the level of receptor abundance. An elevation in the content of free bases and ribosides of zeatin and isopentenyladenine, along with a reduction in the content of ribotide forms, suggests that a cytokinin ribotide 5'-ribonucleotidase may be a site at which CKI-1 exerts feedback control. When seed homozygous for the transgene was germinated on medium with reduced total mineral nutrient levels, the cotyledons of seedlings with reduced levels of CKI-1 failed to expand and green, and vegetative growth was inhibited. A similar phenotype was observed on low-phosphate media, suggesting that this failure resulted from an interaction between phosphate and cytokinins.

Ancient Regulatory Role of Lysine Acetylation in Central Metabolism.

Lysine acetylation is a common protein post-translational modification in bacteria and eukaryotes. Unlike phosphorylation, whose functional role in signaling has been established, it is unclear what regulatory mechanism acetylation plays and whether it is conserved across evolution. By performing a proteomic analysis of 48 phylogenetically distant bacteria, we discovered conserved acetylation sites on catalytically essential lysine residues that are invariant throughout evolution. Lysine acetylation removes the residue's charge and changes the shape of the pocket required for substrate or cofactor binding. Two-thirds of glycolytic and tricarboxylic acid (TCA) cycle enzymes are acetylated at these critical sites. Our data suggest that acetylation may play a direct role in metabolic regulation by switching off enzyme activity. We propose that protein acetylation is an ancient and widespread mechanism of protein activity regulation.IMPORTANCE Post-translational modifications can regulate the activity and localization of proteins inside the cell. Similar to phosphorylation, lysine acetylation is present in both eukaryotes and prokaryotes and modifies hundreds to thousands of proteins in cells. However, how lysine acetylation regulates protein function and whether such a mechanism is evolutionarily conserved is still poorly understood. Here, we investigated evolutionary and functional aspects of lysine acetylation by searching for acetylated lysines in a comprehensive proteomic data set from 48 phylogenetically distant bacteria. We found that lysine acetylation occurs in evolutionarily conserved lysine residues in catalytic sites of enzymes involved in central carbon metabolism. Moreover, this modification inhibits enzymatic activity. Our observations suggest that lysine acetylation is an evolutionarily conserved mechanism of controlling central metabolic activity by directly blocking enzyme active sites.

A Skyline Plugin for Pathway-Centric Data Browsing.

For targeted proteomics to be broadly adopted in biological laboratories as a routine experimental protocol, wet-bench biologists must be able to approach selected reaction monitoring (SRM) and parallel reaction monitoring (PRM) assay design in the same way they approach biological experimental design. Most often, biological hypotheses are envisioned in a set of protein interactions, networks, and pathways. We present a plugin for the popular Skyline tool that presents public mass spectrometry data in a pathway-centric view to assist users in browsing available data and determining how to design quantitative experiments. Selected proteins and their underlying mass spectra are imported to Skyline for further assay design (transition selection). The same plugin can be used for hypothesis-driven data-independent acquisition (DIA) data analysis, again utilizing the pathway view to help narrow down the set of proteins that will be investigated. The plugin is backed by the Pacific Northwest National Laboratory (PNNL) Biodiversity Library, a corpus of 3 million peptides from >100 organisms, and the draft human proteome. Users can upload personal data to the plugin to use the pathway navigation prior to importing their own data into Skyline. Graphical Abstract ᅟ.

Proteotranscriptomic Analysis Reveals Stage Specific Changes in the Molecular Landscape of Clear-Cell Renal Cell Carcinoma.

Renal cell carcinoma comprises 2 to 3% of malignancies in adults with the most prevalent subtype being clear-cell RCC (ccRCC). This type of cancer is well characterized at the genomic and transcriptomic level and is associated with a loss of VHL that results in stabilization of HIF1. The current study focused on evaluating ccRCC stage dependent changes at the proteome level to provide insight into the molecular pathogenesis of ccRCC progression. To accomplish this, label-free proteomics was used to characterize matched tumor and normal-adjacent tissues from 84 patients with stage I to IV ccRCC. Using pooled samples 1551 proteins were identified, of which 290 were differentially abundant, while 783 proteins were identified using individual samples, with 344 being differentially abundant. These 344 differentially abundant proteins were enriched in metabolic pathways and further examination revealed metabolic dysfunction consistent with the Warburg effect. Additionally, the protein data indicated activation of ESRRA and ESRRG, and HIF1A, as well as inhibition of FOXA1, MAPK1 and WISP2. A subset analysis of complementary gene expression array data on 47 pairs of these same tissues indicated similar upstream changes, such as increased HIF1A activation with stage, though ESRRA and ESRRG activation and FOXA1 inhibition were not predicted from the transcriptomic data. The activation of ESRRA and ESRRG implied that HIF2A may also be activated during later stages of ccRCC, which was confirmed in the transcriptional analysis. This combined analysis highlights the importance of HIF1A and HIF2A in developing the ccRCC molecular phenotype as well as the potential involvement of ESRRA and ESRRG in driving these changes. In addition, cofilin-1, profilin-1, nicotinamide N-methyltransferase, and fructose-bisphosphate aldolase A were identified as candidate markers of late stage ccRCC. Utilization of data collected from heterogeneous biological domains strengthened the findings from each domain, demonstrating the complementary nature of such an analysis. Together these results highlight the importance of the VHL/HIF1A/HIF2A axis and provide a foundation and therapeutic targets for future studies. (Data are available via ProteomeXchange with identifier PXD003271 and MassIVE with identifier MSV000079511.).

Proteomic expression profiling and identification of serum proteins using immobilized trypsin beads with MALDI-TOF/TOF.

MALDI-TOF mass spectrometry is a widely used technique for serum protein expression profiling and biomarker discovery. Many profiling strategies typically employ chemical affinity beads or surfaces to decrease sample complexity of dynamic fluids such as serum or plasma. However, many of the proteins captured on a particular surface or bead are not resolved in the lower mass ranges where time-of-flight mass spectrometers are most effective. Thus, a majority of reported protein expression profiling studies primarily interrogate the native low molecular mass constituents of the target sample. We report an expression profiling workflow that utilizes immobilized trypsin paramagnetic beads following an initial affinity bead fractionation step, thereby reducing large mass proteins to peptides that are better suited to analysis and sequencing determinations. Our bead-based trypsin approach resulted in more efficient digestion of complex serum protein extracts at short incubation times. This method was reproducible and readily adaptable to robotic sample handling and may be combined in tandem with other bead fractionation surfaces. When weak cationic and weak anionic bead surfaces were used, experimental conditions were optimized for tandem combinations of these beads with the immobilized trypsin step to produce an efficient serum fractionation strategy. A proof-of-concept pilot experiment using pooled human serum samples demonstrating reproducibility is presented, along with the sequence determination of selected tryptic peptides of serum proteins.