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Proteomic analysis of grapevine (Vitis vinifera L.) tissues subjected to herbicide stress.

Two-dimensional gel electrophoresis coupled to mass spectrometry analysis was used to examine for the first time the effect of a herbicide (flumioxazin) on a crop species (Vitis vinifera L.) at the proteome level. Examination of 2-D maps derived from chemically stressed tissues revealed the presence of 33 spots displaying a differential expression pattern. The presence of stress responsive proteins in the different plant organs analysed suggests that flumioxazin could act systemically. Among the responsive proteins, some photosynthesis-related proteins, including several fragments of the enzyme Rubisco, were identified. This effect suggests that photosynthesis could be impaired by the herbicide. The induction of several enzymatic antioxidant systems was also observed, probably as a result of an oxidative stress. Moreover, the photorespiration pathway was stimulated, as suggested by the induction of some key enzymes involved in this process. Changes in carbon metabolism-associated proteins presumably reflect altered patterns of carbon flux in response to impaired photosynthesis and an increased need for osmotic adjustment in affected tissues. Finally, plant defences were stimulated as revealed by the induction of a set of proteins belonging to the pathogenesis-related 10 class, suggesting that they could play an essential role in cell defence mechanisms against flumioxazin.

Antioxidants↗

Analysis of proteome bound to D-loop region of mitochondrial DNA by DNA-linked affinity chromatography and reverse-phase liquid chromatography/tandem mass spectrometry.

Mitochondrial dysfunction has been suggested as a causal factor for insulin resistance and diabetes. Previously we have shown a decrease of mitochondrial DNA (mtDNA) content in tissues of diabetic patients. The mitochondrial proteins, which regulate the mitochondrial biogensis, including transcription and replication of mtDNA, are encoded by nuclear DNA. Despite the potential function of the proteins bound to the D-loop region of mtDNA in regulating mtDNA transcription/replication, only a few proteins are known to bind the D-loop region of mtDNA. The functional association of these known proteins with insulin resistance is weak. In this study, we applied proteomic analysis to identify a group of proteins (proteome) that physically bind to D-loop DNA of mtDNA. We amplified D-loop DNA (1.1 kb) by PCR and conjugated the PCR fragments to CNBr-activated sepharose. Mitochondria fractions were isolated by both differential centrifugation and Optiprep-gradient ultracentrifugation. The D-loop DNA binding proteome fractions were enriched via this affinity chromatography and analyzed by SDS-PAGE. The proteins on the gel were transferred onto PVDF membrane and the peptide sequences of each band were subsequently analyzed by capillary reverse-phase liquid chromatography/tandem mass spectrometry (RPLC/MS/MS). We identified many D-loop DNA binding proteins, including mitochondrial transcription factor A (mtTFA, Tfam) and mitochondrial single-stranded DNA binding protein (mtSSBP) which were known to bind to mtDNA. We also report the possibility of novel D-loop binding proteins such as histone family proteins and high-mobility group proteins.

Amino Acid Sequence↗

Proteomic changes in the pressure overloaded right ventricle after 6 weeks in young rats: correlations with the degree of hypertrophy.

Right ventricular (RV) hypertrophy is an important problem in congenital heart disease. We determined the alterations in phenotype that occur in the initial phase of RV hypertrophy and their possible correlations with the degree of hypertrophy. Therefore, we performed a differential proteomic profiling study on RV hypertrophy using an animal model of pulmonary artery banding (PAB) in parallel with hemodynamic characterization. The RV homogenates were subfractionated in myofilament and cytoplasmic proteins, which subsequently were separated by two-dimensional gel electrophoresis (2-DE), excised, and analyzed by mass spectrometry (MS). The cytoplasmic fraction showed expression changes in metabolic proteins, indicative of a shift from fatty acid to glucose as a substrate for energy supply. Up-regulation of three HSP-27s (1.9-, 1.7-, and 3.5-fold) indicated an altered stress response in RV hypertrophy. Detailed analysis by immunoblotting and MS showed that two of these HSP-27s were at least phosphorylated on Ser15. The myofilament fraction showed up-regulation of desmin and alpha-B-crystallin (1.4-and 1.3-fold, respectively). This alteration in desmin was confirmed by 1-DE immunoblots. Certain differentially expressed proteins, such as HSP-27, showed a significant correlation with the RV weight to the body weight ratio in the PAB rats, suggesting an association with the degree of hypertrophy.

Amino Acid Sequence↗

Proteome analysis of leaves from the resurrection plant Boea hygrometrica in response to dehydration and rehydration.

Resurrection plants differ from other species in their unique ability to survive desiccation. In order to understand the mechanisms of desiccation tolerance, proteome studies were carried out using leaves of the resurrection plant Boea hygrometrica to reveal proteins that were differentially expressed in response to changes in relative water content. This opportunity was afforded by the rare ability of excised B. hygrometrica leaves to survive and resume metabolism following desiccation in a manner similar to intact plants. From a total of 223 proteins that were reproducibly detected and analyzed, 35% showed increased abundance in dehydrated leaves, 5% were induced in rehydrated leaves and 60% showed decreased or unchanged abundance in dehydrated and rehydrated leaves. Since the induction kinetics fall into clearly defined patterns, we suggest that programmed regulation of protein expression triggered by changes of water status. Fourteen dehydration responsive proteins were analyzed by mass spectrometry. Eight proteins were classified as playing a role in reactive oxygen species scavenging, photosynthesis and energy metabolism. In agreement with these findings, glutathione content and polyphenol oxidase activity were found to increase upon dehydration and rapid recovery of photosynthesis was observed.

Energy Metabolism↗

Modern strategies for protein quantification in proteome analysis: advantages and limitations.

Over the last 3 years, a number of mass spectrometry-based methods for the simultaneous identification and quantification of individual proteins within complex mixtures have been reported. Most, if not all, of such strategies apply a two-step approach: the first for the separation of proteins or peptides, and the second uses mass spectrometry to identify and quantify the individual components. To simplify the outcome of both steps, certain chemicals and heavy-isotope-labeling are commonly used in the early stages of sample preparation (except in differential fluorescence labeling protocols). The ultimate goal of these strategies is to be able to identify every protein expressed in a cell or tissue, and to determine each protein's abundance, state of modification, and possible involvement in multi-protein complexes. In this review, an attempt is made to highlight the salient characteristics of the existing strategies with particular attention to their strengths and weaknesses.

Animals↗

Association between residential greenness and coronary heart disease: A proteomics and miRNA microarray analysis.

Greenness has been linked to cardiovascular disease. However, the specific biological mechanisms through which greenness impacts coronary heart disease (CHD) remain unclear. We aim to explore the underlying epigenetic mechanisms linking greenness and CHD by using proteomics and miRNA microarray. A total of 2387 participants were included in the population study, 816 of whom were diagnosed with CHD. Residential greenness exposure was characterized using the normalized difference vegetation index (NDVI). Generalized additive models and restricted cubic splines investigated the association between greenness and CHD. Mediation analysis examined whether cardiovascular metabolic risk factors (blood pressure, inflammation indicators, and glucose) mediated the association. After proteomics and miRNA microarray screening, Elisa and qRT-PCR validated selected proteins (THBS1, FCN3, and LTBP1) and miRNAs (miR-671-5p, miR-124-3p, and miR-379-5p) in CHD. Among these, LTBP1 and miR-379-5p showed significant differential expression (P&#xa0;<&#xa0;0.05) and were examined as potential molecular mediators. Higher greenness exposure within a 1000-m area was associated with a lower risk of CHD (OR: 0.86, 95&#xa0;% CI: 0.81, 0.92). Systolic blood pressure (6.32&#xa0;% [95&#xa0;% CI: 1.49&#xa0;%, 13.12&#xa0;%]), lymphocyte (10.98&#xa0;% [95&#xa0;% CI: 3.76&#xa0;%, 22.00&#xa0;%]), monocyte (9.94&#xa0;% [95&#xa0;% CI: 3.42&#xa0;%, 20.87&#xa0;%]), and fasting blood glucose (3.41&#xa0;% [95&#xa0;% CI: 0.56&#xa0;%, 7.84&#xa0;%]) mediated this association. LTBP1 and miR-379-5p were differentially expressed in CHD and mediated 7.19&#xa0;% [95&#xa0;% CI: 0.01&#xa0;%, 23.37&#xa0;%] and 20.03&#xa0;% [95&#xa0;% CI: 2.85&#xa0;%, 69.71&#xa0;%] of greenness effect on CHD, respectively. Combining the population study and experiments, we found that miR-379-5p and LTBP1 may jointly modulate vascular constriction and immune inflammation in the association between greenness and CHD.

Humans↗

New approaches to proteomic analysis of breast cancer.

Proteomic based approaches are beginning to be utilized to study the natural history and treatment of breast cancer. A variety of proteomics approaches are under study, and are summarized herein. Two-dimensional gel electrophoresis (2D-PAGE) is still the foundation of most proteomics studies. We present an analysis of 2D-PAGE studies reported to date in breast cancer, including those examining normal/tumor differences and selected populations of breast cells. Newer technologies such as laser capture microdissection and highly sensitive mass spectrometry methods are currently being used together to identify greater numbers of lower abundance proteins that are differentially expressed between defined cell populations. Novel technologies still in developmental phases will enable identification of validated targets in small biopsy specimens, including high density protein arrays, antibody arrays and lysate arrays. Surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) analysis enables the high throughput characterization of lysates from very few tumor cells and may be best suited for clinical biomarker studies. We present SELDI-TOF data herein to show the accuracy of the method in a small cohort of breast tumors, as well as its potential discriminatory capability. Such technologies are expected to supplement our armamentarium of mRNA-based assays, and provide critical information on protein levels and post-translational modifications.

Breast Neoplasms↗

Comparison of different separation technologies for proteome analyses: isoform resolution as a prerequisite for the definition of protein biomarkers on the level of posttranslational modifications.

In this article we evaluate methods used to reveal the molecular complexity, which is generated in biological samples by posttranslational modifications (PTM) of proteins. We show how distinct molecular differences on the level of phosphorylation sites in a single protein (ovalbumin) can be resolved with different success using 1D and 2D gel-electrophoresis and reversed-phase liquid chromatography (LC) with monolithic polystyrol-divinylbenzol (PS-DVB) columns for protein separation, and matrix-assisted laser desorption ionisation-time of flight mass spectrometry (MALDI-TOF MS) for protein identification. Phosphorylation site analysis was performed using enzymatic dephosphorylation in combination with differential peptide mass mapping. Liquid chromatography-MALDI-TOF MS coupling with subsequent on-target tryptic protein digestion turned out to be the fastest method tested but yielded low resolution for the analysis of PTM, whereas 2D gel-electrophoresis, due to its unique capability of resolving highly complex isoform pattern, turned out to be the most suitable method for this purpose. The evaluated methods complement one another and in connection with efficient technologies for differential and quantitative analysis, these approaches have the potential to reveal novel molecular details of protein biomarkers.

Amino Acid Sequence↗

Functional consequences of mitochondrial proteome heterogeneity.

Potential functional consequences of the differences in protein distribution between the mitochondria of the rat liver, heart, brain, and kidney, as determined in the companion paper in this issue (Johnson DT, French S, Blair PV, You JS, Bemis KG, Wang M, Harris RA, and Balaban RS. The tissue heterogeneity of the mammalian mitochondrial proteome. Am J Physiol Cell Physiol292: C689-C697, 2006), were analyzed using a canonical metabolic pathway approach as well as a functional domain homology analysis. These data were inserted into the Kyoto Encyclopedia of Genes and Genomes pathway framework to give global and metabolic pathway-specific information on the impact of the differential protein distribution on mitochondrial function. Custom pathway analysis was also performed using pathways limited to the mitochondrion. With the use of this approach, several well-known functional differences between these mitochondrial populations were confirmed. These included GABA metabolism in the brain, urea synthesis in the liver, and the domination of oxidative phosphorylation in the heart. By comparing relative protein amounts of mitochondria across tissues, a greater understanding of functional emphasis is possible as well as the nuclear "programming" required to enhance a given function within the mitochondria. For proteins determined to be mitochondrial and lacking a defined role functional domain BLAST analyses were performed. Several proteins associated with DNA structural modification and a novel CoA transferase were identified. A protein was also identified capable of catalyzing the first three steps of de novo pyrimidine synthesis. This analysis demonstrates that the distribution of nuclear encoded proteins significantly modifies the overall functional emphasis of the mitochondria to meet tissue-specific needs. These studies demonstrate the existence of mitochondrial biochemical functions that at present are poorly defined.

Animals↗

Murine retrovirus infection and the effect of chronic alcohol consumption: proteomic analysis of cardiac protein expression.

AIMS: The cardiovascular complications of acquired immunodeficiency syndrome (AIDS) are serious, including the occurrence of pathological heart conditions such as cardiomyopathy. Chronic alcohol consumption accentuates the severity of AIDS and may contribute to the development of cardiomyopathy. The aim of this work was to use a proteomics approach to investigate global alterations in protein expression in a mouse model of AIDS in the presence or absence of chronic alcohol consumption. METHODS: Cardiac proteins were separated by two-dimensional polyacrylamide gel electrophoresis and quantitative computer analysis was used to evaluate the resulting two-dimensional protein profiles. Proteins that were differentially expressed in the hearts of mice from the different experimental groups were identified by peptide mass finger-printing by matrix-assisted laser desorption/ionization mass spectrometry. RESULTS: A number of specific proteins were observed to be differentially expressed in the mouse heart due to the effect of ethanol feeding alone. Differentially expressed proteins were also observed that were due to viral infection alone. Ethanol feeding and viral infection appeared to have similar effects on the expression of a number of proteins. A total of 24 proteins were altered by infection alone. Of these 24 proteins, eight were affected by alcohol, with six alterations being ameliorated and two being exacerbated by alcohol. Two of these proteins have been identified as the 27 kDa heat-shock protein and mitochondrial long-chain acyl-CoA thioesterase 1. CONCLUSIONS: These results suggest that chronic alcohol consumption may exacerbate the effects of viral infection on the heart by lowering the stress response leading to de-protection and further cytotoxic effects.

Administration, Oral↗

Identification of proteins highly expressed in the hyphae of Candida albicans by two-dimensional electrophoresis.

The increase in Candida albicans infections is caused by the increase in therapies resulting in immunocompromised patients. One factor required for C. albicans pathogenicity is the morphological transition from yeast to hypha. The protein profiles of whole extracts from yeasts and hyphae were examined using two-dimensional electrophoresis to identify the proteins related to the morphological transition. Over 900 protein spots were visualized by silver staining and 11 spots were increased more than three-fold reproducibly during hyphal differentiation. Six of the 11 spots were identified by peptide mass fingerprints, of which three represented PRA1, two PHR1 and the last TSA1. Vertical streak patterns of Pra1p and Phr1p indicated that post-translational modifications seem to be caused by variable glycosylation. Comparative proteome analysis between the wild-type and the deletion mutants, CAMB43 (deltapra1) and CAS10 (deltaphr1), further confirmed the identity of PRA1 and PHR1. Interestingly, Pra1p was downregulated in phr1-deleted mutants. Only PHR1 transcription was increased, indicating that PRA1 and TSA1 are controlled at the post-translational level.

Apoenzymes↗

Identification of novel genes differentially expressed in PMA-induced HL-60 cells using cDNA microarrays.

Identification of normal growth and differentiation-inducing proteins and their interaction in normal development have made it possible to elucidate the molecular basis of normal development and the mechanisms uncoupling growth and differentiation during tumor development. The development of cancer and the experimental reversal of tumorigenicity are accompanied by complex changes in patterns of gene expression. cDNA microarrays provide a powerful tool for studying these phenomena. In the present study, a high-density microarray of human cDNA elements was used to search for differences in gene expression associated with differentiation of human promyelic leukemia HL-60 cells. Microarrays containing 3,063 human cDNAs were printed on glass slides with high-speed robotics. These DNA 'chips' were used to quantitatively monitor differential expression of the cognate human genes using a highly sensitive two-color hybridization assay. The identification of known and novel phorbol ester-regulated genes in hematopoietic progenitor cells demonstrates the sensitivity of the assay.

Base Sequence↗

Extracellular vesicle proteomic expression is influenced by mining tenure in former uranium miners.

BACKGROUND: Chronic exposure to uranium (U) rich environments poses significant health risks, yet the molecular mechanisms underlying these effects remain poorly understood. Extracellular vesicles (EVs) are membrane-bound vesicles that transfer multiple biomolecules between cells and can regulate cellular function. OBJECTIVE: To determine whether U-mining tenure is associated with specific alterations in serum-derived EV proteomic and plasma cytokine profiles among former U-miners, and to assess the potential of EV-derived proteins as robust biomarkers of chronic U-exposure relative to canonical cytokines. METHODS: Serum and plasma samples were obtained from 39 former U-miners. Small and large EVs were isolated via differential ultracentrifugation and characterized by nanoparticle tracking and western blotting. EV proteomic profiles were analyzed using liquid chromatography-tandem mass spectrometry. Plasma cytokines were quantified using multiplex immunoassays. Age-adjusted linear regression was used to assess associations with mining tenure, and pathway enrichment analysis was performed on significant EV proteins. RESULTS: Eight small-EV and four large-EV proteins significantly correlated with mining tenure after age adjustment. Notably, Complement C1r subcomponent and Vitamin K-dependent protein S, and Fibrinogen alpha chain exhibited strong inverse correlations. Enrichment analyses highlighted immune-related and extracellular matrix pathways. Six cytokines were initially associated with mining tenure but lost significance after age adjustment. In contrast, EV protein associations appeared more robust for this confounding, underscoring their potential as exposure biomarkers. CONCLUSIONS: Serum EV-derived protein signatures were nominally associated with U-mining tenure independent of age, whereas cytokine profiles were confounded by age. These findings suggest that EV-derived proteins may provide sensitive biomarkers for monitoring long-term health effects of U-exposure, which warrants further investigation in larger cohorts.

Humans↗

Expression and function of proteins during development of the basal region in rice seedlings.

A differential display of proteins with a two-dimensional polyacrylamide gel electrophoresis approach was used to analyze protein expression changes during development of the basal region in rice seedlings (Oryza sativa L. cv. Nipponbare). The proteins were detected as 700 Coomassie Brilliant Blue-stained spots with pI values from around 3.5 to 9.0. A proteome reference map was established for the basal region of two-week-old seedlings. The basal region proteome map was used to analyze quantitative variations in the tissue during development from 2-, 4-, 6-, 8-, and 10-week-old seedlings. During development, 31 proteins were up-regulated, and 30 proteins were down-regulated compared with the 2-week-old basal region proteome map. The main functions of these proteins were primary metabolism and protein synthesis or maintenance. Calreticulin precursor, enolase, and voltage-dependent anion channel were identified among the up- and down-regulated proteins. The twin spots of calreticulin precursor and enolase with different pI values are possibly due to post-translational modifications such as phosphorylation. In addition, seven proteins showed developmental stage-specific expression. All of the developmentally regulated proteins of the basal region were clustered by the S-system, a differential equation that fit to time course of cluster and analyzed for cluster relationships. Proteins with unknown functions were tentatively assigned to functional groups based on cluster relationships. Basal region development proteome data will be valuable for resolving questions in functional genomics. In addition, cluster analysis of the basal region proteome during development will be useful for the assessment of functional proteins.

Electrophoresis, Gel, Two-Dimensional↗

Proteomic analysis of differently expressed proteins in a mouse model for allergic asthma.

Allergic asthma is associated with persistent functional and structural changes in the airways and involves many different cell types. Many proteins involved in allergic asthma have been identified individually, but complete protein profiles (proteome) have not yet been reported. Here we have used a differential proteome mapping strategy to identify tissue proteins that are differentially expressed in mice with allergic asthma and in normal mice. Mouse lung tissue proteins were separated using two-dimensional gel electrophoresis over a pH range between 4 and 7, digested, and then analyzed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MS). The proteins were identified using automated MS data acquisition. The resulting data were searched against a protein database using an internal Mascot search routine. This approach identified 15 proteins that were differentially expressed in the lungs of mice with allergic asthma and normal mice. All 15 proteins were identified by MS, and 9 could be linked to asthma-related symptoms, oxidation, or tissue remodeling. Our data suggest that these proteins may prove useful as surrogate biomarkers for quantitatively monitoring disease state progression or response to therapy.

Animals↗

Preliminary screening of urinary host protein biomarkers for Schistosomiasis haematobium: A proteome profiling study identifying candidate diagnostic targets in school-aged children.

Schistosomiasis is a major public health challenge and a globally neglected tropical disease. Schistosoma haematobium, the causative agent of urogenital schistosomiasis, is endemic in African countries; with school-aged children ages 7-15 years being the most vulnerable population. Current diagnostic methods rely on microscopy to identify parasite eggs in urine; which is labor-intensive, requires specialized skills, and often lacks sensitivity, especially in mild infections. To address these limitations, we explored host disease-related biomarkers as a promising avenue for advancing diagnosis and detection. We recruited 135 children ages 7-15 years from Zanzibar, a known transmission hotspot, and used data-independent acquisition (DIA) proteomics combined with machine learning to identify potential host protein biomarkers in urine samples from individuals infected with Schistosoma haematobium. Proteomic analysis identified 823 common host proteins in urine samples from the infected group. Machine learning algorithms highlighted candidate discriminative proteins; which were validated using enzyme-linked immunosorbent assays (ELISA). Machine learning emphasized SYNPO2, CD276, &#x3b1;2M, LCAT, and hnRNPM as the most discriminating biomarkers for Schistosoma haematobium infection. ELISA validation confirmed the differential expression trends of these proteins, while machine learning further validated LCAT and &#x3b1;2M, underscoring their diagnostic potential. Our study focused on host-derived proteins and identified key urinary protein biomarkers associated with Schistosoma haematobium infection, and offers new insights into host-parasite interactions and potential tools for non-invasive diagnostics. While validated in African pediatric populations from transmission hotspots, this host-protein approach inherently overcomes geographic limitations of parasite-based diagnostics; which is a critical advantage for surveillance in non-endemic regions where imported cases threaten gains toward elimination. These findings lay the groundwork for developing novel diagnostic approaches that could significantly improve the detection and surveillance of schistosomiasis, particularly in high-risk populations.

Humans↗

Differential Expression of Erythrocyte Proteins in Patients with Alcohol Use Disorder.

Alcohol Use Disorder (AUD) poses global health challenges, and causes hematological alterations such as macrocytosis and oxidative stress. Disruption of protein structures by alcohol and/or its metabolites may exacerbate AUDs; proteomics can elucidate the underlying biological mechanisms. This study examined the proteins differentially expressed in the cytosol and membrane fractions of erythrocytes obtained from 30 male patients with AUD, comparing them to samples from 15 age- and BMI-matched social drinkers (SDs) and 15 non-drinkers (control). The analysis aimed to identify the molecular differences related to alcohol consumption. The AUD patient subgrouping was based on mean corpuscular volume (MCV), with 16 individuals classified as having a normal MCV and 14 having a high MCV. Proteins were separated via two-dimensional(2D)-gel electrophoresis, digested with trypsin, and identified via Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (TOF) mass spectrometry (MALDI-TOF/TOF). Additionally, levels of malondialdehyde and 4-hydroxyalkenals (MDA + HAE), reduced glutathione (GSH), oxidized glutathione (GSSG), serum carbohydrate-deficient transferrin (%CDT), disialotransferrin (%DST), and sialic acid (SA) were analyzed. The results showed increased MDA + HAE and decreased total thiols in AUD patients, with GSSG elevated and the GSH/GSSG ratio reduced in the AUD MCV-high subgroup. Serum %CDT, %DST, and SA were significantly higher in AUD. Compared to the control profiles, the AUD group exhibited differential protein expression. Few proteins, such as bisphosphoglycerate mutase, were downregulated in AUD versus control and SD, as well as in the MCV-high AUD subgroup. Conversely, endoplasmin and gelsolin were upregulated in AUD relative to control. Cytoskeletal proteins, including spectrin-alpha chain, actin cytoplasmic 2, were overexpressed in the AUD group and MCV-high AUD subgroup. Several proteins, such as 14-3-3 isoforms, alpha-synuclein, translation initiation factors, heat shock proteins, and others, were upregulated in the MCV-high AUD subgroup. Under-expressed proteins in this subgroup include band 3 anion transport protein, bisphosphoglycerate mutase, tropomyosin alpha-3 chain, uroporphyrinogen decarboxylase, and WD repeat-containing protein 1. Our findings highlight the specific changes in protein expression associated with oxidative stress, cytoskeletal alterations, and metabolic dysregulation, specifically in AUD patients with an elevated MCV. Understanding these mechanisms is crucial for developing targeted interventions and identifying biomarkers of alcohol-induced cellular damage. The complex interplay between oxidative stress, membrane composition, and cellular function illustrates how chronic alcohol exposure affects cellular physiology.

Humans↗

Gene expression signatures and biomarkers of noninvasive and invasive breast cancer cells: comprehensive profiles by representational difference analysis, microarrays and proteomics.

We have characterized comprehensive transcript and proteomic profiles of cell lines corresponding to normal breast (MCF10A), noninvasive breast cancer (MCF7) and invasive breast cancer (MDA-MB-231). The transcript profiles were first analysed by a modified protocol for representational difference analysis (RDA) of cDNAs between MCF7 and MDA-MB-231 cells. The majority of genes identified by RDA showed nearly complete concordance with microarray results, and also led to the identification of some differentially expressed genes such as lysyl oxidase, copper transporter ATP7A, EphB6, RUNX2 and a variant of RUNX2. The altered transcripts identified by microarray analysis were involved in cell-cell or cell-matrix interaction, Rho signaling, calcium homeostasis and copper-binding/sensitive activities. A set of nine genes that included GPCR11, cadherin 11, annexin A1, vimentin, lactate dehydrogenase B (upregulated in MDA-MB-231) and GREB1, S100A8, amyloid beta precursor protein, claudin 3 and cadherin 1 (downregulated in MDA-MB-231) were sufficient to distinguish MDA-MB-231 from MCF7 cells. The downregulation of a set of transcripts for proteins involved in cell-cell interaction indicated these transcripts as potential markers for invasiveness that can be detected by methylation-specific PCR. The proteomic profiles indicated altered abundance of fewer proteins as compared to transcript profiles. Antisense knockdown of selected transcripts led to inhibition of cell proliferation that was accompanied by altered proteomic profiles. The proteomic profiles of antisense transfectants suggest the involvement of peptidyl-prolyl isomerase, Raf kinase inhibitor and 80 kDa protein kinase C substrate in mediating the inhibition of cell proliferation.

Biomarkers, Tumor↗