Publications by authors named "Alicia Landeira-Vinuela"

In the past decade, a major goal in biomedical research has been to understand why individuals differ in disease susceptibility, disease dynamics, and progression. In many pathologies, this variability stems from evolved immune mechanisms that resist inflammatory stress from various diseases that have been encountered throughout life. These may provide advantages against other diseases, reduce comorbidities, and enhance longevity.

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Immunopeptidomics is the area of knowledge focused on the study of peptides assembled in the major histocompatibility complex (MHC), or human leukocyte antigen (HLA) in humans, which could activate the immune response via specific and selective T cell recognition. Advances in high-sensitivity mass spectrometry have enabled the detailed identification and quantification of the immunopeptidome, significantly impacting fields like oncology, infections, and autoimmune diseases. Current immunopeptidomics approaches primarily focus on workflows to identify immunopeptides from HLA molecules, requiring the isolation of the HLA from relevant cells or tissues.

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This chapter traces a route through Proteomics from its origins to the present day. The different proteomics applications are discussed with a focus on microarray technology. Analytical microarrays, functional microarrays and reverse phase microarrays and their different applications are discussed.

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  • - Chronic lymphocytic leukemia (CLL) is the most common type of leukemia in Western countries and is linked to specific immune responses involving autoantigens and microbial proteins.
  • - The study analyzed serum levels of 7 immunoglobulins in patients with CLL and monoclonal B-cell lymphocytosis, revealing notable changes in IgA and IgG that corresponded to disease progression and genetic factors.
  • - Findings suggest that variations in serum immunoglobulin levels could serve as biomarkers for CLL progression, with specific autoantibodies and responses to microbes indicating potential prognostic indicators for the disease.
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  • * The Human Proteome Project's biology/disease initiative aims to identify relevant proteins linked to rheumatic conditions like osteoarthritis, rheumatoid arthritis, and psoriatic arthritis through data mining and biomarker prioritization.
  • * Customized antibody microarrays were used to analyze serum samples from 960 patients, leading to the identification of 30 potential serum protein biomarkers with strong predictive performance (AUC values of 80-90%) for these diseases.
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Frailty is a complex physiological syndrome associated with adverse ageing and decreased physiological reserves. Frailty leads to cognitive and physical disability and is a significant cause of morbidity, mortality and economic costs. The underlying cause of frailty is multifaceted, including immunosenescence and inflammaging, changes in microbiota and metabolic dysfunction.

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  • * Diagnosis can be made through the presence of specific B lymphocytes in the blood, and various prognostic indicators, like genetic mutations, can affect outcomes.
  • * A study profiled 103 proteins in CLL and monoclonal B-cell lymphocytosis (MBL) samples, finding unique immune factors that differentiate between the two conditions and could serve as potential biomarkers for understanding CLL's immune landscape and treatment responses.
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  • Acute phase reactants (APRs) are important for understanding inflammation, but their varying levels make it challenging to measure them together in clinical settings.
  • A new multiplex assay has been developed to enable high-throughput and simultaneous detection of APRs, improving accuracy in measuring their levels.
  • This research, using Sars-CoV-2 as a model, identified different APR patterns between healthy and infected individuals, suggesting that these profiles could help in diagnosing and managing the severity of conditions like respiratory distress and sepsis.
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Background: Nowadays, nanoparticles (NPs) have evolved as multifunctional systems combining different custom anchorages which opens a wide range of applications in biomedical research. Thus, their pharmacological involvements require more comprehensive analysis and novel nanodrugs should be characterized by both chemically and biological point of view. Within the wide variety of biocompatible nanosystems, iron oxide nanoparticles (IONPs) present mostly of the required features which make them suitable for multifunctional NPs with many biopharmaceutical applications.

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In single-cell analysis, biological variability can be attributed to individual cells, their specific state, and the ability to respond to external stimuli, which are determined by protein abundance and their relative alterations. Mass spectrometry (MS)-based proteomics (e.g.

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Acute respiratory distress syndrome (ARDS) is a severe pulmonary disease, which is one of the major complications in COVID-19 patients. Dysregulation of the immune system and imbalances in cytokine release and immune cell activation are involved in SARS-CoV-2 infection. Here, the inflammatory, antigen, and auto-immune profile of patients presenting COVID-19-associated severe ARDS has been analyzed using functional proteomics approaches.

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In the present work, leptomeningeal disease, a very destructive form of systemic cancer, was characterized from several proteomics points of view. This pathology involves the invasion of the leptomeninges by malignant tumor cells. The tumor spreads to the central nervous system through the cerebrospinal fluid (CSF) and has a very grim prognosis; the average life expectancy of patients who suffer it does not exceed 3 months.

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Human Proteome Project (HPP) presents a systematic characterization of the protein landscape under different conditions using several complementary-omic techniques (LC-MS/MS proteomics, affinity proteomics, transcriptomics, etc.). In the present study, using a B-cell lymphoma cell line as a model, comprehensive integration of RNA-Seq transcriptomics, MS/MS, and antibody-based affinity proteomics (combined with size-exclusion chromatography) (SEC-MAP) were performed to uncover correlations that could provide insights into protein dynamics at the intracellular level.

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Specific anti-tumor immune responses have proven to be pivotal in shaping tumorigenesis and tumor progression in solid cancers. These responses can also be of an autoimmune nature, and autoantibodies can sometimes be present even before the onset of clinically overt disease. Autoantibodies can be generated due to mutated gene products, aberrant expression and post-transcriptional modification of proteins, a pro-immunogenic milieu, anti-cancer treatments, cross-reactivity of tumor-specific lymphocytes, epitope spreading, and microbiota-related and genetic factors.

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Immunogenic cell death (ICD) elicited by cancer therapy reshapes the tumor immune microenvironment. A long-term adaptative immune response can be initiated by modulating cell death by therapeutic approaches. Here, the major hallmarks of ICD, endoplasmic reticulum (ER) stress, and damage-associated molecular patterns (DAMPs) are correlated with ICD inducers used in clinical practice to enhance antitumoral activity by suppressing tumor immune evasion.

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  • * HLA typing is a quick and cost-effective process, but understanding the peptides presented to T cells on MHC-I and II requires advanced methods and comprehensive databases.
  • * Recent advancements in identifying immunogenic peptides are explored, with discussions on future steps for translating this research into practical biomedical applications, including vaccine development and prioritizing high-risk HLA types.
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  • The diversity of diseases like cancer necessitates the use of high-throughput screening methods to gather extensive data on tumor characteristics, which aids in predictions and treatment development.
  • Microarray technology plays a crucial role in quickly analyzing various biological samples, making it a key tool in biomedical research.
  • The text describes protein microarrays based on antibody-antigen interactions and includes a validation method using NAPPA technology to analyze protein functions from screening results.
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  • - Protein microarrays play a vital role in biomedical research by enabling the systematic screening of biological samples.
  • - The chapter emphasizes the importance of the printing method used for creating these microarrays, specifically focusing on contact versus noncontact techniques, each with their pros and cons.
  • - It provides a detailed guide on preparing and analyzing antibody microarrays using a noncontact printer, highlighting crucial quality control procedures throughout the process.
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Sporadic Colorectal Cancer (sCRC) is the third leading cause of cancer death in the Western world, and the sCRC patients presenting with synchronic metastasis have the poorest prognosis. Genetic alterations accumulated in sCRC tumor cells translate into mutated proteins and/or abnormal protein expression levels, which contribute to the development of sCRC. Then, the tumor-associated proteins (TAAs) might induce the production of auto-antibodies (aAb) via humoral immune response.

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Human B-cell differentiation has been extensively investigated on genomic and transcriptomic grounds; however, no studies have accomplished so far detailed analysis of antigen-dependent maturation-associated human B-cell populations from a proteomic perspective. Here, we investigate for the first time the quantitative proteomic profiles of B-cells undergoing antigen-dependent maturation using a label-free LC-MS/MS approach applied on 5 purified B-cell subpopulations (naive, centroblasts, centrocytes, memory and plasma B-cells) from human tonsils (data are available ProteomeXchange with identifier PXD006191). Our results revealed that the actual differences among these B-cell subpopulations are a combination of expression of a few maturation stage-specific proteins within each B-cell subset and maturation-associated changes in relative protein expression levels, which are related with metabolic regulation.

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  • Cadmium sulphide quantum dots (CdS QDs) were created and stabilized in a solution with Bovine Serum Albumin (BSA) for over 3 months, allowing for effective binding and limited nanoparticle growth due to specific low-temperature synthesis conditions.* -
  • The interaction between positively charged Cd ions on the CdS surface and the negatively charged regions of BSA resulted in small nanoparticles that minimize aggregation, with temperature and pH significantly affecting their fluorescence properties.* -
  • The study demonstrated successful conjugation of BSA with the anti-Glutathione S-transferase (α-GST) antibody, showing strong fluorescence quenching, and effectively capturing the p53 onco-human recombinant protein, indicating biocom
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Nanotechnology is a multidisciplinary science covering matters involving the nanoscale level that is being developed for a great variety of applications. Nanomedicine is one of these attractive and challenging uses focused on the employment of nanomaterials in medical applications such as drug delivery. However, handling these nanometric systems require defining specific parameters to establish the possible advantages and disadvantages in specific applications.

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High-density protein microarrays constitute a promising high-throughput platform for the characterization of protein expression patterns, biomarker discovery, and validation. Different types of protein microarrays have been described according to several features (such as content, format, and detection system) presenting advantages and disadvantages which are relevant for the specific application and purposes. Therefore, an experimental design is key for any screening based on protein microarrays assays; in fact, the data analysis strategy is directly related to the experimental design, type of protein microarray and consequently the final outcome, the data and results interpretation, is also directly linked.

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Synopsis of recent research by authors named "Alicia Landeira-Vinuela"

  • Alicia Landeira-Vinuela's recent research focuses on various aspects of proteomics and immunology, particularly emphasizing immunopeptidomics, functional proteomics, and the immune responses involved in diseases like chronic lymphocytic leukemia and rheumatic diseases.
  • Her work includes the development of high-throughput methodologies and novel assays that facilitate biomarker identification and quantification, aiding in the understanding of pathological mechanisms and potentially leading to personalized treatment strategies.
  • Additionally, she explores the intricate roles of immune checkpoints and plasma signaling cascades in chronic illnesses, reflecting her commitment to advancing therapeutic approaches through innovative research in the life sciences.