Publications by authors named "AnnSofi Sandberg"

Plasma-derived extracellular vesicles (pEVs) are a potential source of diseased biomarker proteins. However, characterizing the pEV proteome is challenging due to its relatively low abundance and difficulties in enrichment. This study presents a streamlined workflow to identify EV proteins from cancer patient plasma using minimal sample input.

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Extracellular vesicles (EVs) are increasingly tested as therapeutic vehicles and biomarkers, but still EV subtypes are not fully characterised. To isolate EVs with few co-isolated entities, a combination of methods is needed. However, this is time-consuming and requires large sample volumes, often not feasible in most clinical studies or in studies where small sample volumes are available.

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High abundant protein depletion is a common strategy applied to increase analytical depth in global plasma proteomics experiment setups. The standard strategies for depletion of the highest abundant proteins currently rely on multiple-use HPLC columns or multiple-use spin columns. Here we evaluate the performance of spin columns for plasma depletion and show that the single-use spin reduces handling time by allowing parallelization and is easily adapted to a nonspecialized lab environment without reducing the high plasma proteome coverage and reproducibility.

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Article Synopsis
  • - This study presents a high-resolution method (HiRIEF LC-MS/MS) for detailed analysis of the human plasma proteome, achieving excellent coverage and reproducibility suitable for liquid biopsy applications.
  • - By incorporating genomic sequence data, the method allows for the detection of single amino acid variants and reveals how multiple protein variants can transfer from mother to fetus through the placenta.
  • - The method effectively identifies low abundance proteins and phosphorylated proteins in plasma, and quantifies differences in proteomes between mothers and newborns, along with changes that occur during pregnancy.
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  • The study aimed to investigate the differences in immunophenotypes among subgroups of systemic lupus erythematosus (SLE), focusing on their treatment responses and underlying biological characteristics.
  • Researchers defined two main SLE subgroups based on specific autoantibody profiles: the antiphospholipid syndrome-like group (aPL+) and the Sjögren's syndrome-like group (SSA/SSB+), analyzing data from 378 SLE patients and matched controls.
  • Results showed that the integrin beta-1 protein (ITGB1) effectively distinguished between the two subgroups, with higher levels in the SSA/SSB+ group, which also exhibited potential interferon system activation,
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Recognition of nucleic acids by endosomal Toll-like receptors (TLR) is essential to combat pathogens, but requires strict control to limit inflammatory responses. The mechanisms governing this tight regulation are unclear. We found that single-stranded oligonucleotides (ssON) inhibit endocytic pathways used by cargo destined for TLR3/4/7 signaling endosomes.

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  • iTRAQ and TMT are popular mass spectrometry techniques used for analyzing protein quantities in biological research, but they can introduce biases due to multiple runs.
  • Traditional reference sample normalization doesn't fully eliminate these biases, which can skew results in analyses.
  • The new NOMAD R package offers a more efficient ANOVA-based normalization method that effectively reduces bias and scales better for larger datasets, improving the accuracy of comparisons across different MS runs.
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  • Limitations in the sensitivity and dynamic range of traditional two-dimensional gel electrophoresis (2-DE) hinder its effectiveness in global proteomics and biomarker research.
  • The study introduces a new method using time-resolved fluorescence, significantly enhancing the detection of low-abundance proteins by up to 8000-fold compared to standard techniques.
  • This innovation, called cumulative time-resolved emission two-dimensional electrophoresis (CuTEDGE), allows for better characterization of scarce samples, which could improve the identification of disease markers and tailor treatment strategies.
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Unlabelled: Knowing the limit of quantification is important to accurately judge the results from proteomics studies. In order to investigate isobaric labels in combination with peptide pre-fractionation by high resolution isoelectric focusing in terms of limit of detection, quantitative accuracy and how to improve it, we used a human cell lysate spiked with 57 protein standards providing reference points across a wide concentration range. Specifically, the impact of precursor mixing (isolation interference and reporter ion interference) on quantitative accuracy was investigated by co-analyzing iTRAQ (8-plex) and TMT (6-plex) labeled peptides.

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Article Synopsis
  • Mass spectrometry (MS) for analyzing peptides and proteins has significantly advanced over the past 20 years, enhancing large-scale proteomics through improved instrumentation and data analysis.
  • Quantitative mass spectrometry can accelerate biological and clinical research by accurately measuring global protein abundance, which is critical for identifying potential biomarkers.
  • The chapter outlines quantitative protein profiling using stable isotope labeling methods, providing guidance on labeling strategies and an overview of the quantitative proteomics workflow, emphasizing the extraction of relevant biological information from LC-MS data.
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Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide and is increasing, primarily among women. Underdiagnosis is common, and because of the heterogeneous disease characteristics, molecular markers of specific disease phenotypes and more efficacious treatment regimens are urgently needed.

Objective: In this study the soluble proteome of bronchoalveolar lavage cells, primarily consisting of macrophages, was investigated with the aim of identifying phenotypic differences in early disease development.

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  • Vulvar squamous cell carcinoma (VSCC) is the fourth most common gynecological cancer, with two subtypes: one linked to high-risk human papilloma virus (HPV) and one that is HPV negative.
  • The study investigated the relationship between HPV infection and the risk of relapse in VSCC by analyzing protein profiles from 14 tumor samples using advanced techniques like liquid-chromatography tandem mass spectrometry.
  • The research identified four key proteins that could classify the relapse status and discovered alterations in the ubiquitin-proteasome pathway in tumors associated with high relapse risk, particularly in HPV-negative cases.
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Background: Cigarette smoke causes both acute and chronic changes of the immune system. Excluding recent smoking is therefore important in clinical studies with chronic inflammation as primary focus. In this context, it is common to ask the study subjects to refrain from smoking within a certain time frame prior to sampling.

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Article Synopsis
  • - The tool, called protein quantification by peptide quality control (PQPQ), aims to enhance the accuracy and precision of protein measurements in mass spectrometry through shotgun proteomics by analyzing peptide patterns across multiple samples.
  • - PQPQ identifies and excludes outlier peptides and distinguishes between different protein species by performing correlation analysis on peptide patterns.
  • - Validation using seven cancer study data sets demonstrates that PQPQ significantly improves data processing and output from shotgun proteomics, even across various labeling techniques and instrumental platforms.
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Fluorescence fluctuation analysis of individual pH-sensitive fluorophores has recently proven to be a useful approach for biomolecular proton exchange studies. In this work, dual-color fluorescence cross-correlation spectroscopy (FCCS) is demonstrated on a ratiometric pH-sensitive dye, for which both the excitation and emission spectra shift as a function of pH. In the FCCS measurements, the fluorescence signal from the predominant emission wavelength range of the protonated form of the dye is cross-correlated with that of the deprotonated form.

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