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PubMed2005

Proteomic profiling of recombinant Escherichia coli in high-cell-density fermentations for improved production of an antibody fragment biopharmaceutical.

By using two-dimensional polyacrylamide gel electrophoresis, a proteomic analysis over time was conducted with high-cell-density, industrial, phosphate-limited Escherichia coli fermentations at the 10-liter scale. During production, a recombinant, humanized antibody fragment was secreted and assembled in a soluble form in the periplasm. E. coli protein changes associated with culture conditions were distinguished from protein changes associated with heterologous protein expression. Protein spots were monitored quantitatively and qualitatively. Differentially expressed proteins were quantitatively assessed by using a t-test method with a 1% false discovery rate as a significance criterion. As determined by this criterion, 81 protein spots changed significantly between 14 and 72 h (final time) of the control fermentations (vector only). Qualitative (on-off) comparisons indicated that 20 more protein spots were present only at 14 or 72 h in the control fermentations. These changes reflected physiological responses to the culture conditions. In control and production fermentations at 72 h, 25 protein spots were significantly differentially expressed. In addition, 19 protein spots were present only in control or production fermentations at this time. The quantitative and qualitative changes were attributable to overexpression of recombinant protein. The physiological changes observed during the fermentations included the up-regulation of phosphate starvation proteins and the down-regulation of ribosomal proteins and nucleotide biosynthesis proteins. Synthesis of the stress protein phage shock protein A (PspA) was strongly correlated with synthesis of a recombinant product. This suggested that manipulation of PspA levels might improve the soluble recombinant protein yield in the periplasm for this bioprocess. Indeed, controlled coexpression of PspA during production led to a moderate, but statistically significant, improvement in the yield.

Bacterial Proteins↗

PubMed2005

Altered calmodulin response to light in the suprachiasmatic nucleus of PAC1 receptor knockout mice revealed by proteomic analysis.

In mammals circadian rhythms are generated by a light-entrainable oscillator located in the hypothalamic suprachiasmatic nucleus (SCN). Light signals reach the SCN via a monosynaptic neuronal pathway, the retinohypothalamic tract, originating in a subset of retinal ganglion cells. The nerve terminals of these cells contain the classical neurotransmitter glutamate and the neuropeptide pituitary adenylate cyclase-activating polypeptide (PACAP), and there is evidence that these two transmitters interact to mediate photoentrainment of the oscillator in the SCN. To elucidate light-provoked PACAP receptor signaling we used proteomic analysis. Wild-type mice and mice lacking the PAC1 receptor (PAC1-/-) were light stimulated at early night, and the SCN was examined for proteins that were differentially expressed using two-dimensional gel electrophoresis and identification by tandem mass spectrometry. The most striking finding, which was subsequently confirmed by Western blotting, was a significant reduction of calmodulin (CaM) in wild-type mice as compared with PAC1-/- mice. Analysis at the mRNA level by quantitative in situ hybridization histochemistry was inconclusive, indicating that a translational mechanism might be involved. The findings indicate that PAC1 receptor signaling in the SCN in response to light stimulation induces a down-regulation of CaM expression and that CaM is involved in the photic-entrainment mechanism.

Animals↗

PubMed2002

Analysis of protein phosphorylation using mass spectrometry: deciphering the phosphoproteome.

In signal transduction in eukaryotes, protein phosphorylation is a key event. To understand signaling processes, we must first acquire an inventory of phosphoproteins and their phosphorylation sites under different conditions. Because phosphorylation is a dynamic process, elucidation of signaling networks also requires quantitation of these phosphorylation events. In this article, we outline several methods for enrichment of phosphorylated proteins and peptides and discuss various options for their identification and quantitation with special emphasis on mass spectrometry-based techniques.

Animals↗

PubMed2005

Response of the anaerobe Desulfovibrio vulgaris Hildenborough to oxidative conditions: proteome and transcript analysis.

The method of two-dimensional protein gel electrophoresis was used to evaluate the changes at the proteins level following oxygen exposure of the anaerobic sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough. Fifty-seven proteins showed significant differential expression. The cellular concentration of 35 proteins decreased while that of nineteen increased as a specific consequence of oxidative conditions. The proteins that were less abundant belonged to various functional categories such as nucleic acid and protein biosynthesis, detoxification mechanisms, or cell division. Interestingly, quantitative real-time PCR revealed that the genes encoding detoxification enzymes (rubrerythrins, superoxide reductase) are down regulated. The loss of viability of D. vulgaris Hildenborough under these oxidative conditions (Fournier et al., J. Biol. Chem. 279 (2004) 1785) can be directly related to the decrease in the cellular concentrations of these proteins, thereby specifying the toxicity of oxygen for the cells. Among the proteins that were more abundant under oxygen exposure, several thiol-specific peroxidases (thiol-peroxidase, BCP-like protein, and putative glutaredoxin) were identified. Using RT-PCR, the up-regulation of the genes encoding the thiol-peroxidase and the BCP was demonstrated. That is the first time that these proteins have been shown to be involved in the defense of D. vulgaris toward an oxidative stress. Several hypothetical proteins were also shown to be differentially expressed. A function in the defense mechanism against an oxidative stress is proposed for these uncharacterized proteins.

Anaerobiosis↗

PubMed2006

Identification of breast cancer metastasis-associated proteins in an isogenic tumor metastasis model using two-dimensional gel electrophoresis and liquid chromatography-ion trap-mass spectrometry.

To better understand the molecular mechanisms underlying breast cancer metastasis and search for potential markers for metastatic progression, we have developed a highly metastatic variant of human MDA-MB-435 breast cancer cell line through in vivo stepwise selection of pulmonary metastatic cells caused by parental MDA-MB-435 cells in the athymic mice. Comparative proteomic analysis using 2-DE and LC-IT-MS revealed that 102 protein spots were reproducibly altered more than three-fold between the selected variant and its parental counterpart. Eleven differentially expressed protein spots were identified with high confidence using SEQUEST with uninterpreted tandem mass raw data. Cathepsin D precursor, peroxiredoxin 6 (PDX6), heat shock protein 27 (HSP27), HSP60, tropomyosin 1 (TPM1), TPM2, TPM3, TPM4, 14-3-3 protein epsilon, and tumor protein D54 were up-regulated in the highly metastatic variant, whereas alpha B-crystalline (CRAB) was only detected in its parental counterpart. Differential expression was confirmed for four proteins including PDX6, CRAB, TPM4, and HSP60 by real-time quantitative PCR and Western blotting analysis in our model. Immunohistochemical analysis in 80 breast cancer donors demonstrated a significant association of TPM4 (p = 0.002), HSP60 (p = 0.001), PDX6 (p = 0.002) but not CRAB (p = 0.113) staining with the presence of lymph node metastasis. In addition, TPM4 staining was also associated with clinical stage (p = 0.000), but no significant association was found between TPM4, PDX6, CRAB, and HSP60 expression and tumor size, hormone receptor, and HER-2 status (p > 0.05). The functional implication of these identified proteins was also discussed. These proteomic data are valuable and informative for understanding breast cancer metastasis and searching for potential markers for metastatic progression.

Animals↗

PubMed2004

Cardiac mitochondrial damage and biogenesis in a chronic model of type 1 diabetes.

Diabetic cardiomyopathy is a common complication leading to heightened risk of heart failure and death. In the present report, we performed proteomic analysis on total cardiac proteins from the OVE26 mouse model of type 1 diabetes to identify protein changes that may contribute to diabetic cardiomyopathy. This analysis revealed that a surprising high proportion (12 of 20) of the altered proteins that could be identified by mass spectrometry were of mitochondrial origin. All but one of these proteins were upregulated by diabetes. Quantitative RT-PCR, performed for two of these proteins, indicated that part of the upregulation was attributed to increased messenger RNA levels. Morphological study of diabetic hearts showed significantly increased mitochondrial area and number as well as focal regions with severe damage to mitochondria. Diabetic mitochondria also showed reduced respiratory control ratio (9.63 +/- 0.20 vs. 6.13 +/- 0.41, P < 0.0001), apparently due to reduced state 3 rate, and diminished GSH level (5.5 +/- 0.9 vs. 8.2 +/- 2.5 micromol/mg protein, P < 0.05), indicating impaired mitochondrial function and increased oxidative stress. Further examination revealed increased mitochondrial DNA (1.03 +/- 0.18 vs. 0.69 +/- 0.13 relative copy number, P < 0.001) and a tendency to higher protein yield in OVE26 cardiac mitochondria, as well as increased mRNA level for mitochondrial transcription factor A and two mitochondrial encoded proteins. Taken together, these results show that mitochondria are a primary target in the diabetic heart, probably due to oxidative stress, and that this damage coincides with and may stimulate mitochondrial biogenesis.

Animals↗

PubMed2006

Metabolite coupling in genome-scale metabolic networks.

BACKGROUND: Biochemically detailed stoichiometric matrices have now been reconstructed for various bacteria, yeast, and for the human cardiac mitochondrion based on genomic and proteomic data. These networks have been manually curated based on legacy data and elementally and charge balanced. Comparative analysis of these well curated networks is now possible. Pairs of metabolites often appear together in several network reactions, linking them topologically. This co-occurrence of pairs of metabolites in metabolic reactions is termed herein "metabolite coupling." These metabolite pairs can be directly computed from the stoichiometric matrix, S. Metabolite coupling is derived from the matrix ŝŝT, whose off-diagonal elements indicate the number of reactions in which any two metabolites participate together, where ŝ is the binary form of S. RESULTS: Metabolite coupling in the studied networks was found to be dominated by a relatively small group of highly interacting pairs of metabolites. As would be expected, metabolites with high individual metabolite connectivity also tended to be those with the highest metabolite coupling, as the most connected metabolites couple more often. For metabolite pairs that are not highly coupled, we show that the number of reactions a pair of metabolites shares across a metabolic network closely approximates a line on a log-log scale. We also show that the preferential coupling of two metabolites with each other is spread across the spectrum of metabolites and is not unique to the most connected metabolites. We provide a measure for determining which metabolite pairs couple more often than would be expected based on their individual connectivity in the network and show that these metabolites often derive their principal biological functions from existing in pairs. Thus, analysis of metabolite coupling provides information beyond that which is found from studying the individual connectivity of individual metabolites. CONCLUSION: The coupling of metabolites is an important topological property of metabolic networks. By computing coupling quantitatively for the first time in genome-scale metabolic networks, we provide insight into the basic structure of these networks.

Chromosome Mapping↗

PubMed2004

Amplification of RNA transcripts using terminal continuation.

A new methodology has been developed to amplify RNA from minute amounts of starting material. Specifically, an efficient means of second-strand (ss) cDNA synthesis using a sequence-specific 'terminal continuation' (TC) method is demonstrated. An RNA synthesis promoter is attached to the 3' and/or 5' region of cDNA utilizing the TC mechanism. The orientation of amplified RNAs is 'antisense' or a novel 'sense' orientation. TC RNA amplification is utilized for many downstream applications including gene expression profiling, cDNA microarray analysis, and cDNA library/subtraction library construction. Synthesized sense TC-amplified RNA can also be used as a template for in vitro protein translations and downstream proteomic applications. The TC RNA amplification methodology offers high sensitivity, flexibility, and throughput capabilities. A likely mechanism is that the TC primer binds preferentially to GC-rich CpG islands flanking 5' regions of DNA that contain promoter sequences. Following TC RNA amplification, a large proportion of genes can be assessed quantitatively as evidenced by bioanalysis and cDNA microarray analysis in mouse and human postmortem brain tissues.

Animals↗

PubMed2004

Advances in protein complex analysis using mass spectrometry.

Proteins often function as components of larger complexes to perform a specific function, and formation of these complexes may be regulated. For example, intracellular signalling events often require transient and/or regulated protein-protein interactions for propagation, and protein binding to a specific DNA sequence, RNA molecule or metabolite is often regulated to modulate a particular cellular function. Thus, characterizing protein complexes can offer important insights into protein function. This review describes recent important advances in mass spectrometry (MS)-based techniques for the analysis of protein complexes. Following brief descriptions of how proteins are identified using MS, and general protein complex purification approaches, we address two of the most important issues in these types of studies: specificity and background protein contaminants. Two basic strategies for increasing specificity and decreasing background are presented: whereas (1) tandem affinity purification (TAP) of tagged proteins of interest can dramatically improve the signal-to-noise ratio via the generation of cleaner samples, (2) stable isotopic labelling of proteins may be used to discriminate between contaminants and bona fide binding partners using quantitative MS techniques. Examples, as well as advantages and disadvantages of each approach, are presented.

Animals↗

PubMed2002

Linkage and linkage disequilibrium mapping of ERP and EEG phenotypes.

Linkage analyses of highly heritable electrophysiological phenotypes (EEG, ERP) that can potentially identify individuals at risk for alcoholism were performed on a large sample of families with a high density of alcohol dependence as part of the Collaborative Study on the Genetics of Alcoholism (COGA); these genetic findings are summarized. Quantitative trait loci (QTLs) were identified for several ERP characteristics (P300, N100, N400) and for the beta frequencies of the EEG where we report linkage and linkage disequilibrium at a GABA(A) receptor gene on chromosome 4. Genetic analyses of ERPs suggest that several regions of the human genome contain genetic loci related to the generation of N100, N400 and P300, which are possible candidate loci underlying the functional organization of human neuroelectric activity. The advent of genomics and proteomics and a fuller understanding of gene regulation, will open new horizons on the critical electrical events so essential for human brain function.

Adolescent↗

PubMed2003

Haptoglobin-alpha subunit as potential serum biomarker in ovarian cancer: identification and characterization using proteomic profiling and mass spectrometry.

PURPOSE: The objective of this study was to identify and characterize new serum biomarkers in ovarian cancer patients using mass spectrometric protein profiling and specific immunological assays. EXPERIMENTAL DESIGN: Serum samples from 80 cancer patients and 91 healthy women were analyzed by surface enhanced laser desorption and ionization-mass spectrometry (MS) profiling. A candidate biomarker was purified by affinity chromatography, and its sequence was determined by liquid chromatography-tandem MS. An antibody was generated from the synthesized peptide for quantitative validation in the cases and controls. CA125 was determined and compared with the same set of specimens. RESULTS: Using surface enhanced laser desorption and ionization, we found a serum biomarker at approximately 11700 Da, which had peak intensity significantly higher in cases (1.366) compared with controls (0.208, P = 0.002), and subsequently identified this as the alpha chain of haptoglobin. ELISA indicated that Hp-alpha was </=2-fold higher in cancer serum compared with normal, benign tumor, and other gynecological cancers (P < 0.05) and had 64% sensitivity at 90% specificity alone and 91% sensitivity and 95% specificity if combined with CA125. CONCLUSIONS: Haptoglobin-derived alpha subunit is a potential marker for ovarian cancer that is complementary to CA125. MS-based protein profiling is a valuable tool for screening protein markers and useful to detect post-translational modification of tumor-associated proteins or abnormal metabolic products. However, confirmation of protein identity with specific antibodies is crucial for clinical application and functional studies.

Amino Acid Sequence↗

PubMed2026

Proteomic characterization of acidic aqueous extracts from Vicia faba L. pod valves identifies chitinase as a major co-extracted protein macromolecule.

Naturally acidic aqueous extracts from Vicia faba L. pod valves are being explored as sustainable, L-DOPA-oriented plant preparations. Pod valves represent an underutilized processing by-product reported to contain L-DOPA, a compound widely used in Parkinson's disease therapy, while acidic aqueous media may help preserve its physicochemical stability. However, the protein macromolecules co-extracted from V. faba pod valves under these conditions remain poorly characterized. This information is relevant because persistent plant proteins may influence extract composition, stability, susceptibility to degradation, and downstream processing requirements. Here, we characterized co-extracted V. faba protein macromolecules in aqueous pod-valve extracts prepared in ultrapure water or naturally acidic media, including 2% Phyllanthus emblica, 5% Punica granatum, and 2% Ribes rubrum. Protein profiles were first evaluated by SDS-PAGE and subsequently analyzed by nanoflow liquid chromatography coupled to high-resolution tandem mass spectrometry (nLC-MS/MS). Protein identifications were complemented with Gene Ontology annotation and a descriptive semi-quantitative assessment of relative protein representation across extraction media. Chitinase was the most represented V. faba-assigned protein macromolecule across the extracts, with additional highly represented proteins including glucan endo-1,3-beta-D-glucosidase, pathogenesis-related proteins, and polyphenol oxidase A1. These co-extracted proteins are mainly associated with plant defense, stress responses, cell-wall remodeling, and oxidative processing, suggesting that they may be relevant for extract quality attributes during handling and storage. This study provides a compositional proteomic reference for the co-extracted protein macromolecules present in acidic aqueous extracts from V. faba pod valves, supporting future studies on extract stability, processing optimization, and the development of standardized plant-based preparations.

Vicia faba↗

PubMed2006

Building the power house: recent advances in mitochondrial studies through proteomics and systems biology.

The emerging field of systems biology seeks to develop novel approaches to integrate heterogeneous data sources for effective analysis of complex living systems. Systemic studies of mitochondria have generated a large number of proteomic data sets in numerous species, including yeast, plant, mouse, rat, and human. Beyond component identification, mitochondrial proteomics is recognized as a powerful tool for diagnosing and characterizing complex diseases associated with these organelles. Various proteomic techniques for isolation and purification of proteins have been developed; each tailored to preserve protein properties relevant to study of a particular disease type. Examples of such techniques include immunocapture, which minimizes loss of posttranslational modification, 4-iodobutyltriphenylphosphonium labeling, which quantifies protein redox states, and surface-enhanced laser desorption ionization-time-of-flight mass spectrometry, which allows sequence-specific binding. With the rapidly increasing number of discovered molecular components, computational models are also being developed to facilitate the organization and analysis of such data. Computational models of mitochondria have been accomplished with top-down and bottom-up approaches and have been steadily improved in size and scope. Results from top-down methods tend to be more qualitative but are unbiased by prior knowledge about the system. Bottom-up methods often require the incorporation of a large amount of existing data but provide more rigorous and quantitative information, which can be used as hypotheses for subsequent experimental studies. Successes and limitations of the studies reviewed here provide opportunities and challenges that must be addressed to facilitate the application of systems biology to larger systems.

Animals↗

PubMed2026

Cardiac remodelling and dysfunction in cancer patients receiving cardiotoxic therapies: proteomic and metabolomic profiling.

BACKGROUND AND AIMS: The objective of this study was to define the relationships between the circulating proteome and metabolome with cardiac structure and function in patients with breast cancer receiving cardiotoxic therapies. METHODS: Proteomics and metabolomics profiling was performed in a longitudinal, prospective cohort study of breast cancer patients receiving anthracyclines and/or trastuzumab, using the Olink Explore 3072 platform and rapid liquid chromatography-mass spectrometry, respectively. Multivariable linear mixed-effect models evaluated the contemporaneous (same visit) and lagged (subsequent visit) associations between repeated measures of individual proteins or metabolites with quantitative echocardiographic measures of cardiac structure [left ventricular (LV) mass and left atrial volume index] and function [LV ejection fraction (LVEF), longitudinal and circumferential strain, E/e', and ventricular-arterial coupling]. Cox regression and pathway enrichment analyses were conducted for biomarkers demonstrating significant associations with cardiac function. RESULTS: Across 547 breast cancer participants (median age 50 years), 203 unique proteins and 16 unique metabolites were significantly associated with measures of cardiac structure and function in contemporaneous and lagged analyses. Notably, cathepsin C was associated with LVEF [false discovery rate (FDR), P = .017], longitudinal strain (FDR, P = .046), left atrial volume index (FDR, P = .035), and incident cardiac dysfunction, defined by an LVEF decline ≥10% to <50% (hazard ratio .61, 95% confidence interval .41, .90). The 147 proteins associated with cardiac function were enriched in biological processes reflective of protein deubiquitination, protein modification by small protein removal, macromolecule catabolic processes, and global metabolic pathways. Individual metabolites significantly associated with cardiac function (LVEF, longitudinal strain) included n-acetylglutamine, aspartic acid, acetylasparagine, alanyl-alanine, and prolyl-glycine (FDR, P-value < .001), and belonged to amino acids and derivatives and peptides. CONCLUSIONS: These findings provide translational insights into cancer therapy-related cardiac dysfunction and remodelling and identify potential new biomarkers of cardiotoxicity. There is an important need for validation of these findings and a deeper understanding of the biology of these biomarkers.

Humans↗

PubMed2006

Improved mass spectrometry compatibility is afforded by ammoniacal silver staining.

Sequence coverage in MS analysis of protein digestion-derived peptides is a key issue for detailed characterization of proteins or identification at low quantities. In gel-based proteomics studies, the sequence coverage greatly depends on the protein detection method. It is shown here that ammoniacal silver detection methods offer improved sequence coverage over standard silver nitrate methods, while keeping the high sensitivity of silver staining. With the development of 2D-PAGE-based proteomics, another burden is placed on the detection methods used for protein detection on 2-D-gels. Besides the classical requirements of linearity, sensitivity, and homogeneity from one protein to another, detection methods must now take into account another aspect, namely their compatibility with MS. This compatibility is evidenced by two different and complementary aspects, which are (i) the absence of adducts and artefactual modifications on the peptides obtained after protease digestion of a protein detected and digested in - gel, and (ii) the quantitative yield of peptides recovered after digestion and analyzed by the mass spectrometer. While this quantitative yield is not very important per se, it is however a crucial parameter as it strongly influences the S/N of the mass spectrum and thus the number of peptides that can be detected from a given protein input, especially at low protein amounts. This influences in turn the sequence coverage and thus the detail of the analysis provided by the mass spectrometer.

Ammonia↗

PubMed2005

Characterization of a new NIH-registered variant human embryonic stem cell line, BG01V: a tool for human embryonic stem cell research.

Human embryonic stem cells (hESCs) offer a renewable source of a wide range of cell types for use in research and cell-based therapies. Characterizing these cells provides important information about their current state and affords relevant details for subsequent manipulations. For example, identifying genes expressed during culture, as well as their temporal expression order after passaging and conditions influencing the formation of all three germ layers may be helpful for the production of functional beta islet cells used in treating type I diabetes. Although several hESC lines have demonstrated karyotypic instability during extended time in culture, select variant lines exhibit characteristics similar to their normal parental lines. Such variant lines may be excellent tools and abundant sources of cells for pilot studies and in vitro differentiation research in which chromosome number is not a concern, similar to the role currently played by embryonal carcinoma cell lines. It is crucial that the cells be surveyed at a genetic and proteomic level during extensive propagation, expansion, and manipulation in vitro. Here we describe a comprehensive characterization of the variant hESC line BG01V, which was derived from the karyotypically normal, parental hESC line BG01. Our characterization process employs cytogenetic analysis, short tandem repeat and HLA typing, mitochondrial DNA sequencing, gene expression analysis using quantitative reverse transcription-polymerase chain reaction and microarray, assessment of telomerase activity, methylation analysis, and immunophenotyping and teratoma formation, in addition to screening for bacterial, fungal, mycoplasma, and human pathogen contamination.

Cell Culture Techniques↗

PubMed2026

Identification of tomato leaf miner secretory proteins and their roles in influencing plant defenses.

The tomato leaf miner (Tuta absoluta) is a globally destructive pest that cause extensive damage to tomato crops by chewing mouthparts, leading to severe necrosis, fruit abortion, and substantial yield losses. To date, the elicitors/effectors of T. absoluta have not been characterized. In this study, we combined proteomic profiling of T. absoluta-infested tomato leaves with transcriptomic analysis of salivary glands to identify candidate molecules involved in herbivory-driven plant responses. Bioinformatics analyses predicted 40 candidate elicitors and effectors, which were subsequently assessed through transient expression assays in Nicotiana benthamiana. The results demonstrated that the candidate number 33 (T. absoluta 33, Ta33) induced cell death in both the intracellular space and the apoplast, while Ta21 triggered a strong apoplastic reactive oxygen species (ROS) burst. Conversely, Ta38 effectively suppressed INF1-induced cell death. Quantitative real-time PCR analysis further showed that these genes were highly expressed during the feeding stage, supporting their involvement in plant-insect molecular dialogue. This study systematically identified and characterized elicitors and effectors of T. absoluta, providing a foundational framework for elucidating its herbivory mechanisms and developing targeted management strategies.

Moths↗

PubMed2005

Proteomic analysis of glial fibrillary acidic protein in Alzheimer's disease and aging brain.

Chronic inflammation is known to play an important role in the heterogeneous pathogenesis of Alzheimer's disease (AD). Activated astrocytes expressing glial fibrillary acidic protein (GFAP) are closely associated with AD pathology, such as tangles, neuritic plaques and amyloid depositions. Altogether, 46 soluble isoforms of GFAP were separated and most of them quantified by two-dimensional immunoblotting in frontal cortices of AD patients and age-matched controls. A 60% increase in the amount of more acidic isoforms of GFAP was observed in AD and these isoforms were both phosphorylated and N-glycosylated, while more basic isoforms were O-glycosylated and exhibited no quantitative differences between post-mortem AD and control brains. These data highlight the importance of exploring isoform-specific levels of proteins in pathophysiological conditions since modifications of proteins determine their activity state, localization, turnover and interaction with other molecules. Mechanisms, structures and functional consequences of modification of GFAP isoforms remain to be clarified.

Aged↗