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Laser-assisted microdissection: methods for the molecular analysis of psychiatric disorders at a cellular resolution.

Gene expression arrays and proteomics together provide a great opportunity to reveal the molecular pathophysiology of psychiatric disorders; however, their potential will not be realized unless due attention is paid to the cellular heterogeneity of the brain and the likely differential neuropathological involvement of specific neuronal and glial cell types. Hence, methods are needed which can procure homogeneous populations of cells as a source of messenger RNA, protein, or DNA. Laser-assisted microdissection techniques provide such a tool. Here we briefly discuss the principles, applications, and limitations of laser-assisted microdissection in psychiatric research.

Animals↗

Global internal standard technology for comparative proteomics.

The work described in this paper tests the efficacy of a global isotope labeling (global internal standard technology, GIST) strategy for quantification in proteomics. Using GIST, overexpression of beta-galactosidase in Escherichia coli was identified and quantified. The GIST protocol involved tryptic digestion of proteins from control and experimental samples followed by differential isotopic labeling of the resulting tryptic peptides, mixing the differentially labeled control and experimental digests, fractionation of the peptide mixture by reversed-phase chromatography, and isotope ratio analysis by mass spectrometry. N-Acetoxysuccinimide and N-acetoxy-[2H3]succinimide were used to differentially derivatize primary amino groups in peptides from experimental and control samples, respectively. The relative concentration of isotopically labeled peptides was determined by isotope ratio analysis with both matrix-assisted laser desorption ionization mass spectrometry and tandem mass spectrometry (MS-MS). Peptide masses and sequences obtained by MS-MS were used to identify proteins. MS-MS was found to be uniquely suited for isobaric peptide quantification.

Amino Acid Sequence↗

Stage-specific alterations of the genome, transcriptome, and proteome during colorectal carcinogenesis.

To identify sequential alterations of the genome, transcriptome, and proteome during colorectal cancer progression, we have analyzed tissue samples from 36 patients, including the complete mucosa-adenoma-carcinoma sequence from 8 patients. Comparative genomic hybridization (CGH) revealed patterns of stage specific, recurrent genomic imbalances. Gene expression analysis on 9K cDNA arrays identified 58 genes differentially expressed between normal mucosa and adenoma, 116 genes between adenoma and carcinoma, and 158 genes between primary carcinoma and liver metastasis (P < 0.001). Parallel analysis of our samples by CGH and expression profiling revealed a direct correlation of chromosomal copy number changes with chromosome-specific average gene expression levels. Protein expression was analyzed by two-dimensional gel electrophoresis and subsequent mass spectrometry. Although there was no direct match of differentially expressed proteins and genes, the majority of them belonged to identical pathways or networks. In conclusion, increasing genomic instability and a recurrent pattern of chromosomal imbalances as well as specific gene and protein expression changes correlate with distinct stages of colorectal cancer progression. Chromosomal aneuploidies directly affect average resident gene expression levels, thereby contributing to a massive deregulation of the cellular transcriptome. The identification of novel genes and proteins might deliver molecular targets for diagnostic and therapeutic interventions.

Adult↗

Proteomic patterns of nipple aspirate fluids obtained by SELDI-TOF: potential for new biomarkers to aid in the diagnosis of breast cancer.

Nipple aspirate fluid (NAF) has been used for many years as a potential non-invasive method to identify markers for breast cancer risk or early detection. Because individual markers have not been optimal, we are exploring the use of surface enhanced laser desorption and ionization time of flight (SELDI-TOF) mass spectrometry to identify patterns of proteins that might define a proteomic signature for breast cancer. SELDI-TOF was used to analyze a study set of NAF samples that included 12 women with breast cancer and 15 healthy controls (the latter included three women with an abnormal mammogram but subsequent normal biopsy). In this preliminary report, we present data showing that SELDI analysis of NAF is rapid, reproducible, and capable of identifying protein signatures that appear to differentiate NAF samples from breast cancer patients and healthy controls, including those with an abnormal mammogram who were later proven to be biopsy normal.

Biomarkers, Tumor↗

Comparative proteomic analysis identifies protein disulfide isomerase and peroxiredoxin 1 as new players involved in embryonic interdigital cell death.

In this study, we used comparative proteomics to identify proteins that were involved in the regulation of interdigital cell death. The protein profiles of embryonic day (E) 12.5 and 13.5 mouse hindlimb interdigital tissues were compared to identify proteins that were differentially expressed. The interdigital cells are irreversibly committed to programmed cell death (PCD) at E13.5, whereas they are developmentally plastic at E12.5. We established that protein disulfide isomerase (PDI) expression was up-regulated at E13.5, while peroxiredoxin 1 (Prdx1) expression was down-regulated at this time point. Semiquantitative reverse transcriptase-polymerase chain reaction and Western blot analyses confirmed the data obtained from the two-dimensional electrophoresis gels. Furthermore, we were able to up-regulate PDI expression by manipulating the E12.5 interdigital tissues to die during culture, although this up-regulation was not possible when cell survival was promoted. In addition, we could inhibit interdigital cell death and expression of proapoptotic genes (Bmp-4 and Bambi) by treating interdigital tissues with PDI antibodies and bacitracin (a PDI enzyme inhibitor). These findings suggested that PDI was involved in the activation and maintenance of interdigital cell death. Conversely, we determined that Prdx1 expression was maintained when interdigital cultures were manipulated to survive but down-regulated when the cultures were permitted to die. The result suggested that Prdx1 was involved in maintaining interdigital cell survival. However, we were unable to induce interdigital cell death by means of RNA interference-mediated silencing of Prdx1 expression, indicating that Prdx1 down-regulation is not sufficient for PCD to occur. Proteomic analysis of the Prdx1 knock-down cells revealed that the level of NF-kappaB inhibitor epsilon (IkappaBepsilon) was dramatically reduced. Furthermore, we found an increase in NFkappaB activation and reactive oxygen species (ROS) levels in the cytoplasm as a result of Prdx1 knockdown. We also found that silencing Prdx1 made the interdigital cells more susceptible to ROS-induced cell death. Taken together, our study identifies two new players in interdigital cell death and highlights that PCD is regulated by a delicate balance of proapoptotic and survival-promoting activities.

Animals↗

Targeted comparative proteomics by liquid chromatography-tandem Fourier ion cyclotron resonance mass spectrometry.

In proteomics, effective methods are needed for identifying the relatively limited subset of proteins displaying significant changes in abundance between two samples. One way to accomplish this task is to target for identification by MS/MS only the "interesting" proteins based on the abundance ratio of isotopically labeled pairs of peptides. We have developed the software and hardware tools for online LC-FTICR MS/MS studies in which a set of initially unidentified peptides from a proteome analysis can be selected for identification based on their distinctive changes in abundance following a "perturbation". We report here the validation of this method using a mixture of standard proteins combined in different ratios after isotopic labeling. We also demonstrate the application of this method to the identification of Shewanella oneidensis peptides/proteins exhibiting differential abundance in suboxic versus aerobic cell cultures.

Bacterial Proteins↗

Proteomic analysis of brain tissue from an Alzheimer's disease mouse model by two-dimensional difference gel electrophoresis.

We used a beta-amyloid precursor protein (APP) transgenic (Tg) mouse model that displays some of the typical Alzheimer-associated pathological features to study the brain proteoma associated with amyloid plaque deposition. Two groups (male and female) of 14-month-old Tg mice were compared with their wild type littermates. We used differential 2D electrophoresis coupled with mass spectrometry to generate one of the first complete image of changes in brain protein expression occurring in this well-recognized model of Alzheimer's disease (AD). We identified 15 different proteins, which are significantly regulated in this pathology (p<0.05, > or =1.5-fold variation in expression comparing with the wild type samples). These comprise a number of proteins that were already known to be implicated in AD and neurodegeneration, as well as several proteins which relationship with AD had not been shown before. Identified proteins were grouped according to their biological key pathways. Results obtained are discussed in view of existing bibliographic data on human AD transcriptoma and proteoma.

Alzheimer Disease↗

Investigation of proteomic biomarkers in in vivo hepatotoxicity study of rat liver: toxicity differentiation in hepatotoxicants.

We investigated the overall protein expression profiles in the in vivo hepatotoxicity of rats induced by four well-recognized hepatotoxicants. Acetaminophen (APAP), amiodarone (AMD), tetracycline (TC) and carbon tetrachloride (CTC) were administered to male rats by gavages and the liver at 24 hr post-dosing was applied to the proteomic experiment. Blood biochemistry and histopathology were examined to identify specific changes related to the compounds given. Protein expression in the liver was investigated by 2-dimensional gel electrophoresis (2DE), and spots showing a significantly different expression in treated versus control group were excised from gels and identified by Q-Tof mass spectrometer. They were well characterized based on their functions related to the mechanisms of toxicity of the compounds. Among them, we focused on the 8 proteins that were affected by all 4 compounds examined. Proteins related to oxidative stress response such as carbonic anhydrase III (CA3) and 60kDa heat shock protein (HSP60), and energy metabolism such as adenylate kinase 4 (AK4) were found. Moreover, hierarchical clustering analysis using 2D-gel spots information revealed the possibility to differentiate the groups based on their toxicity levels such as severity of liver damage. These results suggested that assessing the effects of hepatotoxicants on protein expression is worth trying to screen candidate compounds at the developmental stage of drugs.

Acetaminophen↗

Regulation of growth factor induced gene expression by calcium signalling: integrated mRNA and protein expression analysis.

There is considerable indirect evidence that growth factor induced changes in the intracellular concentration of calcium play an important role in the regulation of the mammalian cell cycle. However, the precise mechanism by which this may be achieved remains unclear. Here we show that SKF-96365, an inhibitor of growth factor induced capacitative calcium entry (CCE), inhibits cell cycle progression by preventing entry into S phase. SKF-96365 changes the temporal profile of growth factor induced calcium signalling and recent studies have shown that alterations in the temporal and spatial patterns of calcium signalling can differentially regulate gene expression. We have therefore sought to examine the effect of inhibition of CCE on growth factor induced gene expression during G1. To achieve this we have initiated a combined transcriptomic and proteomic approach to measure CCE regulated gene expression using cDNA arrays and two-dimensional polyacrylamide gel electrophoresis, respectively. The initial results of this on-going analysis are reported here. They reveal that inhibition of CCE influences the expression of 29 genes at the mRNA level and 22 genes at the protein level. We report the identification of the mRNAs whose expression is altered by inhibition of CCE and describe the potential functional significance of some of these changes. The value of integrating a transcriptomic and two-dimensional gel electrophoresis based proteomic approach to studies of gene expression is discussed.

3T3 Cells↗

A preliminary proteomic survey of the in vitro excretory/secretory products of fourth-stage larval and adult Teladorsagia circumcincta.

The nature of the proteins which comprise the in vitro excretory/secretory products (ES) of the fourth-stage larva (L4) and adult Teladorsagia circumcincta are largely undefined, despite the fact that this nematode induces profound changes, in part related to parasite ES, in the cellular architecture of the glands lining the abomasal surface of infected sheep and goats. In this study, the protein components of L4 and adult ES were fractionated using 1D gel electrophoresis and the major protein bands, detected by Coomassie blue staining, excised from the gel and subjected to tryptic digest and subsequent mass spectrometric analysis. The resultant peptide mass fingerprints were used to identify 15 L4 and 13 adult ES proteins. Several proteins, such as globin and some metabolic enzymes, were present in both ES. L4 ES alone contained thioredoxin peroxidase, an enzyme that can detoxify free radicals resulting from host inflammatory responses to the parasite, a cysteine proteinase which may aid penetration of the gastric mucosa and 2 different galectins which may influence cell differentiation and morphogenesis. Adult ES contained a nucleoside diphosphate kinase homologue, an enzyme which has been linked to cellular changes and can affect liquid secretion and goblet cell degranulation.

Animals↗

Overview of the 7th European symposium on calcium-binding proteins in normal and transformed cells.

The strong feature of the meeting was the continuing efforts described in many papers to resolve the multiple ways in which calcium ions are released into cells via messenger signals and then interact with receptors to cause differential internal cellular activation and cell/cell communication. An easy general way to relate these studies to cell components is to start analysis from the genetic structures lying behind all cell activities and then to explore the RNA production, the proteome, the small substrates and calcium levels themselves in turn while referring to the environment of a particular cell, organ or organism. There is then of course the overall physiology. I shall summarize the papers in this order of their main interests.

Animals↗

Proteomic analysis of human acute leukemia cells: insight into their classification.

PURPOSE: French-American-British (FAB) classification of acute leukemia with genetic heterogeneity is important for treatment and prognosis. However, the distinct protein profiles that contribute to the subtypes and facilitate molecular definition of acute leukemia classification are still unclear. EXPERIMENTAL DESIGN: The proteins of leukemic cells from 61 cases of acute leukemia characterized by FAB classification were separated by two-dimensional electrophoresis, and the differentially expressed protein spots were identified by both matrix-assisted laser desorption/ionization-time-of-flight-mass spectrometry (MALDI-TOF-MS) and tandem electrospray ionization MS (ESI-MS/MS). RESULTS: The distinct protein profiles of acute leukemia FAB types or subtypes were successfully explored, including acute myeloid leukemia (AML), its subtypes (M2, M3, and M5) and acute lymphoid leukemia (ALL), which were homogeneous within substantial samples of the respective subgroups but clearly differed from all other subgroups. We found a group of proteins that were highly expressed in M2 and M3, rather than other subtypes. Among them, myeloid-related proteins 8 and 14 were first reported to mark AML differentiation and to differentiate AML from ALL. Heat shock 27 kDa protein 1 and other proteins that are highly expressed in ALL may play important roles in clinically distinguishing AML from ALL. Another set of proteins up-regulated was restricted to granulocytic lineage leukemia. High-level expression of NM23-H1 was found in all but the M3a subtype, with favorable prognosis. CONCLUSIONS: These data have implications in delineating the pathways of aberrant gene expression underlying the pathogenesis of acute leukemia and could facilitate molecular definition of FAB classification. The extension of the present analysis to currently less well-defined acute leukemias will identify additional subgroups.

Acute Disease↗

Distinct types of short open reading frames are translated in plant cells.

Genomes contain millions of short (<100 codons) open reading frames (sORFs), which are usually dismissed during gene annotation. Nevertheless, peptides encoded by such sORFs can play important biological roles, and their impact on cellular processes has long been underestimated. Here, we analyzed approximately 70,000 transcribed sORFs in the model plant Physcomitrella patens (moss). Several distinct classes of sORFs that differ in terms of their position on transcripts and the level of evolutionary conservation are present in the moss genome. Over 5000 sORFs were conserved in at least one of 10 plant species examined. Mass spectrometry analysis of proteomic and peptidomic data sets suggested that tens of sORFs located on distinct parts of mRNAs and long noncoding RNAs (lncRNAs) are translated, including conserved sORFs. Translational analysis of the sORFs and main ORFs at a single locus suggested the existence of genes that code for multiple proteins and peptides with tissue-specific expression. Functional analysis of four lncRNA-encoded peptides showed that sORFs-encoded peptides are involved in regulation of growth and differentiation in moss. Knocking out lncRNA-encoded peptides resulted in a decrease of moss growth. In contrast, the overexpression of these peptides resulted in a diverse range of phenotypic effects. Our results thus open new avenues for discovering novel, biologically active peptides in the plant kingdom.

Bryopsida↗

Proteome analysis for the identification of in vivo estrogen-regulated proteins in bone.

Estrogen deficiency results in a reduced bone mass, which can be prevented by treatment with estrogens. This study used a proteomic approach for the first time to obtain a global perspective of estrogens' effects on whole-bone proteins. Bone proteome profiles were examined in three groups of mice: (1) sham-operated with normal ovarian functions, (2) ovariectomised and (3) ovariectomised with estrogen replacement therapy. Bone proteins extracted from the humerus were separated by 2-DE and visualised by CBB colloidal staining. Spot detection and quantification was done by image analysis. Differentially expressed proteins were identified by MS and database search, using peptide mass fingerprint and peptide sequence analysis. Differential expression analysis in the three experimental groups showed significant changes for 14 proteins. These included proteins related to bone metabolism, cytoskeleton components and energy metabolic pathways. Our data suggest that some proteins related to cytoskeleton and to energy pathways, such as tropomyosins, aconitase 2 and enolase beta, might be new molecular targets responsive to the effects of estrogen. Differentially expressed proteins identified in this model may offer a useful starting point for elucidating novel aspects of the pleiotropic effects of estrogens on bone.

Animals↗

Bayesian analysis of signaling networks governing embryonic stem cell fate decisions.

MOTIVATION: Signaling events that direct mouse embryonic stem (ES) cell self-renewal and differentiation are complex and accordingly difficult to understand in an integrated manner. We address this problem by adapting a Bayesian network learning algorithm to model proteomic signaling data for ES cell fate responses to external cues. Using this model we were able to characterize the signaling pathway influences as quantitative, logic-circuit type interactions. Our experimental dataset includes measurements for 28 signaling protein phosphorylation states across 16 different factorial combinations of cytokine and matrix stimuli as reported previously. RESULTS: The Bayesian network modeling approach allows us to uncover previously reported signaling activities related to mouse ES cell self-renewal, such as the roles of LIF and STAT3 in maintaining undifferentiated ES cell populations. Furthermore, the network predicts novel influences such as between ERK phosphorylation and differentiation, or RAF phosphorylation and differentiated cell proliferation. Visualization of the influences detected by the Bayesian network provides intuition about the underlying physiology of the signaling pathways. We demonstrate that the Bayesian networks can capture the linear, nonlinear and multistate logic interactions that connect extracellular cues, intracellular signals and consequent cell functional responses.

Algorithms↗

Proteomic analysis of experimentally induced azole resistance in Candida glabrata.

OBJECTIVES: The aim of the present study was to identify changes in the proteome of a laboratory-derived azole-resistant strain of Candida glabrata compared with its susceptible parent strain in an effort to identify proteins that are differentially expressed in association with azole resistance. METHODS: Soluble and membrane protein fractions were isolated from mutant strain F15 (fluconazole MIC>128 mg/L) and parent strain 66032 (fluconazole MIC=16 mg/L) grown to mid-log phase. Soluble proteins were resolved by both two-dimensional (2D) and one-dimensional (1D) polyacrylamide gel electrophoresis (GE) whereas membrane proteins were resolved by 1D GE. Spots or bands representing differentially expressed proteins were identified by matrix-assisted desorption ionization-time of flight mass spectroscopy (MALDI-TOF MS) and peptide mass fingerprinting. RESULTS: A total of 22 proteins were found to be more abundantly represented, and 3 proteins were found to be less abundantly represented, in strain F15 compared with strain 66032. These included up-regulation of the ATP-binding cassette transporter Cdr1p, the ergosterol biosynthesis enzyme Erg11p, proteins involved in glycolysis and glycerol metabolism, and proteins involved in the response to oxidative stress and cadmium exposure. CONCLUSIONS: In addition to transcriptional regulation of Cdr1p, this study identified the differential expression of several proteins that may contribute to azole resistance and suggests the possibility for a post-transcriptional mechanism for increased expression of Erg11p.

Antifungal Agents↗

[Proteomic analysis of human ovarian cancer cell lines and their platinum-resistant clones].

OBJECTIVE: To perform comparative proteomic analysis of human ovarian cancer cell lines for detecting platinum-resistance associated proteins. METHODS: The total proteins of two sensitive (SKOV3 and A2780) and four resistant (SKOV3/CDDP, SKOV3/CBP, A2780/CDDP and A2780/CBP) human ovarian cancer cell lines were separated by two-dimensional gel electrophoresis (2-DE). The differentially expressed proteins were analyzed using image analysis software, stained with Coomassie Brilliant Blue, then identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and database searching. The mRNA and protein levels of the differentially expressed protein which was most significant in all of the four resistant cell lines were validated by RT-PCR and western blotting, respectively. RESULTS: Five proteins were found to be significant in four cell lines. Annexin A3 and destrin were up-regulated and nicotinamide-adenine dinucleotide phosphate (NADP)-dependent isocitrate dehydrogenase 1 was down-regulated in all the four resistant samples. Glutathione transferase omega 1 had an increased expression in the other three resistant cell lines except for SKOV3/CBP in which its expression was not changed. However, cofilin 1 represented a different trend. In the two resistant sublines of SKOV3, cofilin 1 had a down-regulation, but it had an up-regulation in the cell lines induced from SKOV3. The expression of annexin A3 was up-regulated by 3 - 20 fold and the results of RT-PCR and western blotting showed complete consistency with that by 2-DE. CONCLUSIONS: Proteomic techniques are useful to the identification of the resistance-associated proteins in ovarian cancer platinum-resistant cell lines and five candidates have been found. The five differential proteins might become hopeful candidate biomarkers for resistance.

Annexin A3↗

Gut microbiota dysbiosis and host metabolite-immune crosstalk drives the pathogenesis of neonatal lupus erythematosus: a multi-omics analysis.

BACKGROUND: Neonatal lupus erythematosus (NLE) is a rare autoimmune condition triggered by the transplacental transfer of maternal antibodies. Despite its recognized clinical manifestations, the underlying pathogenesis remains incompletely understood. This study seeks to explore the disruption of the gut microbiota-host metabolism-immune axis in anti-Ro/La-positive neonates, and to assess its potential role in the development of NLE. METHODS: This multicenter, cross-sectional study included 90 neonates, divided into three groups: 30 with neonatal lupus erythematosus (NLE), 30 with positive antibodies but without clinical manifestations (No-NLE), and 30 healthy controls. We performed 16&#xa0;S rRNA sequencing to analyze gut microbiota composition, untargeted plasma metabolomic profiling, and proteomic analysis to identify alterations associated with the pathogenesis of NLE. RESULTS: We identified significant alterations in the gut microbiota, plasma metabolome, and proteome profiles of anti-Ro/La-positive neonates. NLE infants exhibited marked enrichment of Enterobacteriaceae and depletion of Bifidobacterium and Clostridium butyricum. Metabolomic analysis revealed hyperactivation of &#x3b2;-alanine and purine metabolism, along with impaired &#x3b1;-linolenic acid metabolism and endocannabinoid signaling. Proteomic profiling indicated aberrant protein expression that modulated IFN signaling, particularly within the C-type lectin receptor pathway. Dysregulation of the spleen tyrosine kinase (SYK) and high-affinity immunoglobulin epsilon receptor subunit gamma (FCER1G) decoupling was observed, correlating with elevated IFN-&#x3b1; and NF-&#x3ba;B p65 levels. Integrated correlation analysis revealed significant associations among differential microbial taxa, plasma metabolites, and proteins. Notably, E. coli-associated metabolites and proteins displayed inverse relationships with those associated with C. butyricum. CONCLUSIONS: These findings represent comprehensive evidence of dysregulation along the "gut microbiota-host metabolism-immune" axis in neonatal lupus erythematosus (NLE), providing novel insights into the disease's underlying heterogeneity.

Humans↗