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PubMed2025

Altered immune signatures in breast cancer lymph nodes with metastases revealed by spatial proteome analyses.

BACKGROUND: Metastasis to lymph nodes is strongly associated with reduced survival in breast cancer patients. To increase the understanding on how lymph node metastasis impairs the local immune response in affected lymph nodes, we here studied spatial proteomic changes of critical lymph node immune populations in uninvolved lymph nodes (UnLN) and paired lymph nodes with metastases (LNM) from five breast cancer patients. METHODS: The proteome was analyzed for cortical lymphocyte compartments, subcapsular sinus (SCS) and medullary sinus (MS) CD169+ macrophages, using the Digital Spatial Profiling (DSP) platform from NanoString. RESULTS: Our results identified a stable proteome of SCS CD169+ macrophages in LNM, with the exception for downregulation of the anti-apoptotic protein Bcl-xL and FAPα, but a clear reduction in numbers of SCS CD169+ macrophages in LNM. In contrast, the proteome of MS CD169+ macrophages, B-cell compartments and interfollicular T-cells showed altered immune signatures in LNM, indicating that the decline in SCS CD169+ macrophages coincide with a malfunction in the local, anti-tumor immune responses. CONCLUSIONS: The findings from our study support the notion that metastasis to lymph nodes in breast cancer patients modifies local immune responses. These changes may contribute to explain unsuccessful therapeutic responses, and thereby worsened prognosis, for breast cancer patients with LNM.

Breast Neoplasms↗
PubMed2004

Use of surface-enhanced laser desorption/ionization -time of flight to explore bacterial proteomes.

Surface-enhanced laser desorption/ionization (SELDI)-time of flight is a recent technology that allows proteomic analysis with limited material requirements. This characteristic makes it a valuable technique for microbiologists handling problematic samples, such as low cell number cultures. We compared three simple procedures for protein extraction from bacteria for compatibility with the ProteinChip Array; we also determined the amount of protein required for each analysis. The protocol for the SELDI analysis was evaluated by generating protein expression profiles of a Streptococcus pneumoniae strain grown in different conditions and those of different strains of the same species. The protocol also was successfully applied to a wide range of Gram positive and negative bacteria. The results of this study suggest the appropriateness of this technology for microorganism protein profiling as complementary or alternative to two-dimensional gel electrophoresis.

Bacterial Proteins↗
PubMed2006

Proteomic approaches to dissect platelet function: Half the story.

Platelets play critical roles in diverse hemostatic and pathologic disorders and are broadly implicated in various biological processes that include inflammation, wound healing, and thrombosis. Recent progress in high-throughput mRNA and protein profiling techniques has advanced our understanding of the biological functions of platelets. Platelet proteomics has been adopted to decode the complex processes that underlie platelet function by identifying novel platelet-expressed proteins, dissecting mechanisms of signal or metabolic pathways, and analyzing functional changes of the platelet proteome in normal and pathologic states. The integration of transcriptomics and proteomics, coupled with progress in bioinformatics, provides novel tools for dissecting platelet biology. In this review, we focus on current advances in platelet proteomic studies, with emphasis on the importance of parallel transcriptomic studies to optimally dissect platelet function. Applications of these global profiling approaches to investigate platelet genetic diseases and platelet-related disorders are also addressed.

Animals↗
PubMed2004

The Arabidopsis thaliana chloroplast proteome reveals pathway abundance and novel protein functions.

BACKGROUND: Chloroplasts are plant cell organelles of cyanobacterial origin. They perform essential metabolic and biosynthetic functions of global significance, including photosynthesis and amino acid biosynthesis. Most of the proteins that constitute the functional chloroplast are encoded in the nuclear genome and imported into the chloroplast after translation in the cytosol. Since protein targeting is difficult to predict, many nuclear-encoded plastid proteins are still to be discovered. RESULTS: By tandem mass spectrometry, we identified 690 different proteins from purified Arabidopsis chloroplasts. Most proteins could be assigned to known protein complexes and metabolic pathways, but more than 30% of the proteins have unknown functions, and many are not predicted to localize to the chloroplast. Novel structure and function prediction methods provided more informative annotations for proteins of unknown functions. While near-complete protein coverage was accomplished for key chloroplast pathways such as carbon fixation and photosynthesis, fewer proteins were identified from pathways that are downregulated in the light. Parallel RNA profiling revealed a pathway-dependent correlation between transcript and relative protein abundance, suggesting gene regulation at different levels. CONCLUSIONS: The chloroplast proteome contains many proteins that are of unknown function and not predicted to localize to the chloroplast. Expression of nuclear-encoded chloroplast genes is regulated at multiple levels in a pathway-dependent context. The combined shotgun proteomics and RNA profiling approach is of high potential value to predict metabolic pathway prevalence and to define regulatory levels of gene expression on a pathway scale.

Arabidopsis↗
PubMed2006

Metaproteomics: studying functional gene expression in microbial ecosystems.

The recent availability of extensive metagenomic sequences from various environmental microbial communities has extended the postgenomic era to the field of environmental microbiology. Although still restricted to a small number of studies, metaproteomic investigations have revealed interesting aspects of functional gene expression within microbial habitats that contain limited microbial diversity. These studies highlight the potential of proteomics for the study of microbial consortia. However, the application of proteomic investigations to complex microbial assemblages such as seawater and soil still presents considerable challenges. Nonetheless, metaproteomics will enhance the understanding of the microbial world and link microbial community composition to function.

Computational Biology↗
PubMed2005

Pharmacogenomics and cardiovascular drugs: need for integrated biological system with phenotypes and proteomic markers.

Personalized medicine is based on a better knowledge of biological variability, considering the important part due to genetics. When trying to identify involved genes and their products in differential cardiovascular drug responses, a five-step strategy is to be followed: 1) Pharmacokinetic-related genes and phenotypes (2) Pharmacodynamic targets, genes and products (3) Cardiovascular diseases and risks depending on specific or large metabolic cycles (4) Physiological variations of previously identified genes and proteins (5) Environment influences on them. After summarizing the most well-known genes involved in drug metabolism, we will take as example of drugs, the statins, considered as very important drugs from a Public-Health standpoint, but also for economical reasons. These drugs respond differently in human depending on multiple polymorphisms. We will give examples with common ApoE polymorphisms influencing the hypolipemic effects of statins. These drugs also have pleiotropic effects and decrease inflammatory markers. This illustrates the need to separate clinical diseases phenotypes in specific metabolic pathways, which could propose other classifications, of diseases and related genes. Hypertension is also a good example of clinical phenotype which should be followed after various therapeutic approaches by genes polymorphisms and proteins markers. Gene products are under clear environmental expression variations such as age, body mass index and obesity, alcohol, tobacco and dietary interventions which are the first therapeutical actions taken in cardiovascular diseases. But at each of the five steps, within a pharmacoproteomic strategy, we also need to use available information from peptides, proteins and metabolites, which usually are the gene products. A profiling approach, i.e., dealing with genomics, but now also with proteomics, is to be used. In conclusion, the profiling, as well as the large amount of data, will more than before render necessary an organized interpretation of DNA, RNA as well as proteins variations, both at individual and population level.

Cardiovascular Agents↗
PubMed2026

Strategy for Simultaneous Multiomic Survey of N-Glycomic and Extracellular Matrix Proteome by Mass Spectrometry Imaging.

Recent advances in spatially resolved molecular profiling have positioned matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) as a powerful platform for multiomic tissue analyses. However, conventional workflows that sequentially target distinct molecular classes are time- and resource-intensive, requiring repeated sequential sample preparation, imaging, and data integration. Here, we evaluate streamlined strategies for simultaneous or combined acquisition of N-glycan and collagen-derived peptide information using PNGase F and collagenase. In-solution studies demonstrate that simultaneous enzymatic digestion yields comparable peptide identifications and glycan profiles relative to traditional sequential workflows, with minimal impact on enzymatic specificity. On the basis of these findings, we developed and optimized MALDI-MSI protocols enabling either simultaneous enzyme application or sequential enzyme treatment with unified matrix deposition and single-pass imaging. While direct coapplication reduced image uniformity, a hybrid approach that used sequential enzyme deposition with combined imaging preserved spatial fidelity and spectral quality while significantly reducing processing and computational demands. Application to human tissues, including vertebral bone and ocular samples, highlights the utility of this workflow for fragile specimens and exploratory multiomic surveys. Collectively, these results establish a framework for integrated glycomic and proteomic imaging targeting the extracellular microenvironment, expanding multiomic MALDI-MSI analyses.

Spectrometry, Mass, Matrix-Assisted Laser Desorpti↗
PubMed2026

Intraspecific variation in Bothrops neuwiedi snake venom: Influence of age and sex.

Snake venom is a complex mixture of molecules and is subject to intraspecific variations due to the influence of abiotic and/or biotic factors, one of which is the animal's ontogeny. Some studies have already shown the influence of age on the composition and properties of snake venom, but these variations are not uniform, and each species may exhibit a specific pattern of variation. Therefore, this study aimed to analyze the influence of age on the venom of Bothrops neuwiedi, using 5 age groups, differentiating between males and females. To this end, we analyzed the protein profile of these venoms (using SDS-PAGE, HPLC, and proteomic analyses); enzymatic activities (PLA2, LAAO, and proteolytic activities); coagulant activity, in vivo assays (MDH; LD50 and ED50), and immunorecognition tests (Western blotting and ELISA). Protein profile analysis showed that males exhibited a gradual increase in SVMP and PLA2 concentrations. Both sexes showed a decrease in CTL concentration and a loss of PLA2 activity, which occurred more gradually in males. Proteolytic activity did not show clear ontogenetic differences, but both sexes showed activity peaks in the 2-year-old and senile groups, with females exhibiting higher proteolytic activity than males. Regarding LAAO activity, it increased in males and decreased in females. Although the LD50 did not show age-dependent differences, the venom from the 1-year-old group took longer to cause death in mice but showed a higher hemorrhagic activity than seniles. Furthermore, more antivenom was needed to neutralize the venom from the 1-year-old group than the venom from the senile group; despite this, immunorecognition tests did not show significant ontogenetic variations. In conclusion, the venom of the snake B. neuwiedi undergoes ontogenetic variations with certain sexual differences, showing some peculiarities that have not been found in ontogenetic analyses of other species of the same genus.

Animals↗
PubMed2026

Necroptosis in alveolar epithelium orchestrates lung ischemia-reperfusion injury: a multi-omics study.

BACKGROUND: Lung ischemia-reperfusion injury (LIRI) is a leading cause of early morbidity and mortality following lung transplantation and other cardiopulmonary procedures. It is characterized by acute sterile inflammation driven by regulated cell death (RCD). While various RCD modalities, including apoptosis, necroptosis, pyroptosis, and ferroptosis, have been implicated in lung injury, their relative contributions and distinct activation patterns in LIRI remain poorly defined. METHODS: We employed an integrated multi-omics approach combining transcriptomics and proteomics with histological and functional validations in a murine hilar clamping model of LIRI. Key findings were further corroborated using single-cell RNA sequencing (scRNA-seq) data from human lung transplant recipients. The functional role of necroptosis was validated using pharmacological inhibitors (Nec-1, GSK'872) and Mlkl-deficient (Mlkl-/-) mice. RESULTS: LIRI triggered acute, time-dependent lung injury peaking within 24 h of reperfusion. Although transcriptomic profiling suggested broad activation of multiple RCD pathways, proteomic and biochemical analyses revealed a distinct landscape in our experimental setting: markers of apoptosis, pyroptosis, and ferroptosis were either downregulated or showed no significant positive correlation with injury severity and inflammatory peaks. In contrast, the necroptotic pathway emerged as a highly activated modality. Specifically, necroptosis, marked by phosphorylated RIPK1, RIPK3, and MLKL, was localized primarily in alveolar epithelial cells, correlated strongly with cytokine release and histological lung injury, and preceded the inflammatory response. Pharmacological inhibition or genetic ablation of necroptosis significantly attenuated tissue damage and inflammation. This pronounced necroptotic signature appeared distinct from the broad multi-pathway activation observed in lipopolysaccharide (LPS)-induced lung injury. Translational analysis of human scRNA-seq data further confirmed the selective upregulation of necroptosis signatures in alveolar type 2 (AT2) cells following lung transplantation. CONCLUSION: Our multi-omics analysis identifies necroptosis, particularly in alveolar epithelial cells, as a critical driver of sterile inflammation and tissue injury in the early phase of LIRI. Targeting alveolar epithelial necroptosis may represent a precise and promising therapeutic strategy for lung transplantation and ischemia-reperfusion-associated pulmonary disorders.

Animals↗
PubMed2003

Microarray analysis in the clinical management of cancer.

Because of the many genetic and epigenetic alterations that define a given tumor cell, and given the heterogeneity of these changes, between, as well as within a tumor class, progress in the understanding and treatment of cancer has been slow. The sequencing of the human genome, in combination with advances in robotics, computing, and imaging technologies, has resulted in rapid advances in the development of microarray methodology. This technology now places us in a position to simultaneously consider the consequence of all of these genetic changes through measurement of a large proportion of the complement of genes expressed in a given tissue at a given time. The power of this methodology for (1) the classification and identification of tumor classes, (2) gene discovery, (3) determining mechanisms of drug action, and (4) predicting drug response has now clearly been demonstrated: however, several challenges remain. First, there is a growing need for a standardization of the methodology, such that different datasets may be compared directly and meaningfully. The complete sequencing and annotation of the human genome may be the first step toward this attainable goal. Also, the databases generated should be made publicly available to facilitate further analysis by other researchers. To this end, the results of our studies are available at http://sequence.aecom.yu.edu/bioinf/Augenlicht/default.html. Second, a number of reported findings on tumor classification require further validation in independent patient data sets. Third, extensive clinical studies with appropriate patient follow-up are required to determine the validity of this method for the prediction of patient response to chemotherapy. Finally, the possibility needs to be considered that gene expression profiling may need to be combined with other global approaches such as proteomics and mutation screening analyses, for optimization of its potential. The advent of methodologies that enable gene expression profiling provides an opportunity to gain insights into the genetic makeup of a cancer cell on a global scale. Given the heterogeneity of this disease, such a global approach is likely to enhance significantly our understanding and management of this disease.

Gene Expression Profiling↗
PubMed2004

Two-dimensional gel electrophoresis and immunoblot analysis of Neospora caninum tachyzoites.

Identification of expressed protein profiles and antigenic determination are some of the most challenging aspects of proteomics. Two-dimensional gel electrophoresis (2-DE) combined with immunoblot analysis were employed to study the N. caninum proteome. Protein sample preparation was carried out by first conducting sonication, followed by adding lysis buffer containing 7M urea plus 2M thiourea to the purified tachyzoites in order to complete disruption. A total of 335 differentially expressed protein spots were detected using pH 4-7 IPG strip (7 cm) that were run in a 56 kVh isoelectric focusing (IEF) system. Of the spots analyzed, 64 were identified as antigenic spots on immunoblot profile. Major antigenic spots appeared at 65 kDa (pI 5.2-5.3), 51 kDa (pI 5.5), 38 kDa (pI 5.1), 33 kDa (pI 4.4), 29 kDa (pI 5.6) and 15.5 kDa (pI 5.0) were observed to be significantly distinct compared to the rest of the antigenic spots. The results indicate that combination of 2-DE and immunoblotting methods were thought as very useful tools in defining both proteins and antigens of N. caninum tachyzoites. Additionally, present 2-DE profiles may be valuable in further proteomic approaches and study of the pathogen.

Animals↗
PubMedDate not supplied

Analysis of altered protein expression patterns of Chlamydia pneumoniae by an integrated proteome-works system.

We have identified, analyzed, and quantified differential protein expression profile of five C. pneumoniae proteins, Adk (adenylate kinase), AhpC (thiol-specific antioxidant), CrpA (15 KD cysteine rich protein), Map (methionine aminopeptidae), and Cpn0710 (hypothetical protein) under normal versus persistent growth conditions induced by interferon-gamma, at different time intervals of their replicative cycle by successfully employing the latest proteomic analysis tool, PDQuest 2-D analysis software. We have also determined that this software represents a reliable analytical tool for mapping protein expression patterns in C. pneumoniae.

Bacterial Proteins↗
PubMed2006

Urinary proteome of steroid-sensitive and steroid-resistant idiopathic nephrotic syndrome of childhood.

The response to steroid therapy is used to characterize the idiopathic nephrotic syndrome (INS) of childhood as either steroid-sensitive (SSNS) or steroid-resistant (SRNS), a classification with a better prognostic capability than renal biopsy. The majority (approximately 80%) of INS is due to minimal change disease but the percentage of focal and segmental glomerulosclerosis is increasing. We applied a new technological platform to examine the urine proteome to determine if different urinary protein excretion profiles could differentiate patients with SSNS from those with SRNS. Twenty-five patients with INS and 17 control patients were studied. Mid-stream urines were analyzed using surface enhanced laser desorption and ionization mass spectrometry(SELDI-MS). Data were analyzed using multiple bioinformatic techniques. Patient classification was performed using Biomarker Pattern Software and a generalized form of Adaboost and predictive models were generated using a supervised algorithm with cross-validation. Urinary proteomic data distinguished INS patients from control patients, irrespective of steroid response, with a sensitivity of 92.3%, specificity of 93.7%, positive predictive value of 96% and a negative predictive value of 88.2%. Classification of patients as SSNS or SRNS was 100%. A protein of mass 4,144 daltons was identified as the single most important classifier in distinguishing SSNS from SRNS. SELDI-MS combined with bioinformatics can identify different proteomic patterns in INS. Characterization of the proteins of interest identified by this proteomic approach with prospective clinical validation may yield a valuable clinical tool for the non-invasive prediction of treatment response and prognosis.

Adolescent↗
PubMed2026

Integrated Multi-omics Profiling of 2,4-dinitrochlorobenzene (DNCB)-induced Atopic Dermatitis in Mice Reveals a Coordinated Network of Barrier Dysfunction, Immune Activation, and Metabolic Reprogramming.

Atopic dermatitis (AD) is caused by a combination of epidermal barrier defect and immune imbalance. However, the molecular networks between these structural abnormalities and metabolic variations are unclear. This study aim of this research was to examine the concurrent molecular alterations in skin barrier damage and metabolic disorders in an AD-like mouse model by a multi-omics strategy. A 2,4-dinitrochlorobenzene (DNCB)-induced AD-like mouse model was established and the skin tissues were examined through the combination of transcriptomic, quantitative proteomic, and metabolomic analyses. Cross-omics correlation and network analyses were performed to identify consistently abnormal molecular pathways and crucial regulatory molecules. DNCB treatment caused severe epidermal hyperplasia, and prominent infiltration of CD3⁺ T cells, F4/80⁺ macrophages, and mast cells. Transcriptomic and proteomic analysis indicated significant disruption in keratinocyte differentiation, extracellular matrix organization, and cornified envelope formation pathways. Combined analysis detected 171 molecules which were simultaneously altered at both mRNA and protein levels, and network analysis identified FLG2 and KRT6B as central barrier-related molecules. Pathway enrichment analysis consistently showed the participation of AMPK and PPAR signaling pathways. Metabolomic analysis also revealed coordinated changes in lipid and amino acid metabolism which were closely associated with cornified envelope-associated genes and collagen-modifying enzymes. These findings indicate a close relationship between barrier, immune and metabolic regulation in DNCB-induced dermatitis and provide a multi-omics resource for future mechanistic studies of atopic skin inflammation.

Animals↗
PubMed2007

Expression profiling and lung cancer development.

Recent lung cancer research has been directed to using molecular approaches to facilitate early diagnosis, to identify clinically relevant biological factors associated with histologic heterogeneity, and to identify novel therapeutic agents. This research takes advantage of technical advances that allow rapid high throughput assays to interrogate the genome, proteome, and epigenome. In this review of gene expression profiling in lung carcinogenesis, we will focus upon recent advances in the understanding of malignant transformation of lung epithelial cells and of lung cancer differentiation and progression. These studies have provided important information about the genomic alterations of tobacco smoke-associated airway field carcinogenesis and about the developmental pathways that mediate lung tumor invasion and histologic differentiation in response to injury.

Adenocarcinoma↗
PubMed2006

A mass spectrometry-based proteomic approach to study Marek's Disease Virus gene expression.

Marek's Disease Virus (MDV) is an avian herpesvirus that causes a lymphoproliferative disorder in chickens. MDV transitions between a lytic phase in which new viruses are produced and a latent phase in which the virus lays dormant. The mechanism controlling this lytic-to-latent switch remains unclear. To better understand the lytic phase of MDV infection, a mass spectrometry-based strategy was developed to identify viral proteins and to qualitatively examine their abundance in lytically infected chicken embryo fibroblast (CEF) cells. A combination of strong cation exchange chromatography (SCXC) and microcapillary reversed-phase liquid chromatography-tandem mass spectrometry (murpLC/MS/MS) was used to resolve peptides from tryptic digests of MDV-infected CEF cell lysates. Peptides were identified by searching the tandem mass spectra against a protein database containing both MDV proteins and all currently available Gallus gallus proteins using the SEQUEST algorithm. A total of 427 MDV peptides, corresponding to 82 unique proteins, were identified, with 56 of them detected with at least two unique peptides. Overall, nearly 80% of all putative MDV proteins expressed in infected CEF cells were identified. We anticipate that this approach will be a viable method for determining how viral and host proteome changes occurring in Marek's Disease pathogenesis regulate the switch between the lytic and latent phases of the MDV life cycle.

Animals↗
PubMed2006

Methods of quantitative proteomics and their application to plant organelle characterization.

Many cell biologists wish to know the subcellular localization of proteins of interest. Proteomics methods have the potential to describe the entire protein content of organelles. However, practical limitations in organelle isolation and analysis of low abundance proteins have meant that organelle proteomics has had, until recently, only limited success. Some examples of quantitative proteomic methods and their use in the study of plant organelle proteomes are discussed here. It is concluded that 2D-difference gel electrophoresis (2D-DIGE) as well as differential isotope tagging strategies coupled to non-gel-based LC-MS are proving useful in this area of research.

Arabidopsis↗