Proteomic analysis of tissue samples in translational breast cancer research

In the last decade, many proteomic technologies have been applied, with varying success, to the study of tissue samples of breast carcinoma for protein expression profiling in order to discover protein biomarkers/signatures suitable for: characterization and subtyping of tumors; early diagnosis, and both prognosis and prediction of outcome of chemotherapy. The purpose of this review is to critically appraise what has been achieved to date using proteomic technologies and to bring forward novel strategies – based on the analysis of clinically relevant samples – that promise to accelerate the translation of basic discoveries into the daily breast cancer clinical practice. In particular, we address major issues in experimental design by reviewing the strengths and weaknesses of current proteomic strategies in the context of the analysis of human breast tissue specimens.     

Proteomic analysis of formalin-fixed prostate cancer tissue

Proteomic analysis of formalin-fixed paraffin-embedded (FFPE) tissue would enable retrospective biomarker investigations of this vast archive of pathologically characterized clinical samples that exist worldwide. These FFPE tissues are, however, refractory to proteomic investigations utilizing many state of the art methodologies largely due to the high level of covalently cross-linked proteins arising from formalin fixation. A novel tissue microdissection technique has been developed and combined with a method to extract soluble peptides directly from FFPE tissue for mass spectral analysis of prostate cancer (PCa) and benign prostate hyperplasia (BPH). Hundreds of proteins from PCa and BPH tissue were identified, including several known PCa markers such as prostate-specific antigen, prostatic acid phosphatase, and macrophage inhibitory cytokine-1. Quantitative proteomic profiling utilizing stable isotope labeling confirmed similar expression levels of prostate-specific antigen and prostatic acid phosphatase in BPH and PCa cells, whereas the expression of macrophage inhibitory cytokine-1 was found to be greater in PCa as compared with BPH cells.     

Proteomic analysis of selected prognostic factors of breast cancer

The incidence of breast cancer is on the rise but as yet there is no guaranteed beneficial treatment for many of the sufferers. The treatments specific for breast and other hormone-sensitive cancers work well at times, however, the population of women that they will benefit is relatively small. Many are limited to surgical, chemotherapy, and radiotherapy options. Here, using two-dimensional electrophoresis (2-DE) in conjunction with a silver stain and Western blotting approach, we attempt to locate selected known prognostic markers for breast cancer. With these results, we can exclude these proteins from the future search for potential pharmaceutical targets, using the same techniques. The proteins that were located include the estrogen receptor-alpha, beta-casein, cytokeratin 7, calponin and bax. For each protein an estimated M(r) and pI was gained. Each protein was found in multiple variants. By locating these proteins the number of unknown proteins found on the 2-DE gel has been reduced, helping the future search for novel markers that are shown as being differentially expressed between healthy and cancerous tissue samples.     

Proteomic analysis of adipose tissue: informing diabetes research

Diabetes, one of the most common endocrine diseases worldwide, results from complex pathophysiological mechanisms that are not fully understood. Adipose tissue is considered a major endocrine organ and plays a central role in the development of diabetes. The identification of the adipose tissue-derived factors that contribute to the onset and progression of diabetes will hopefully lead to the development of preventive and therapeutic interventions. Proteomic techniques may be useful tools for this purpose. In the present review, we have summarized the studies conducting adipose tissue proteomics in subjects with diabetes and insulin resistance, and discussed the proteins identified in these studies as candidates to exert important roles in these disorders.     

Proteomic analysis of the extraembryonic tissue from cloned porcine embryos

Cloned animals developed from somatic cell nuclear transfer (SCNT) embryos are useful resources for agricultural and medical applications. However, the birth rate in the cloned animals is very low, and the cloned animals that have survived show various developmental defects. In this report, we present the morphology and differentially regulated proteins in the extraembryonic tissue from SCNT embryos to understand the molecular nature of the tissue. We examined 26-day-old SCNT porcine embryos at which the sonogram can first detect pregnancy. The extraembryonic tissue from SCNT embryos was abnormally small compared with the control. In the proteomic analysis with the SCNT extraembryonic tissue, 39 proteins were identified as differentially regulated proteins. Among up-regulated proteins, Annexins and Hsp27 were found. They are closely related to the processes of apoptosis. Among down-regulated proteins, Peroxiredoxins and anaerobic glycolytic enzymes were identified. In the Western blot analysis, antioxidant enzymes and the antiapoptotic Bcl-2 protein were down-regulated, and caspases were up-regulated. In the terminal deoxynucleotidyltransferase-mediated dUTP nick end labeling (TUNEL) assay with the placenta from SCNT embryos, apoptotic trophoblasts were observed. These results demonstrate that a major reason for the low birth rate of cloned animals is due to abnormal apoptosis in the extraembryonic tissue during early pregnancy.     

Proteomic analysis of pulmonary tissue in tail-suspended rats under simulated weightlessness

Weightlessness affects lung function and even causes certain damages to pulmonary tissue. This study used rat tail-suspension model to simulate the physiological effects of weightlessness and investigate the alterations of lung proteome, to reveal the mechanism of lung injury under weightlessness condition. Twenty male Sprague-Dawley rats were randomly divided into two groups: tail-suspended and control. Protein samples from pulmonary tissue of tail-suspended and control groups were separated by two-dimensional (2D) gel electrophoresis and analyzed with ImageMaster 2D elite software. Differentially expressed proteins were identified by high definition mass spectrometry (HDMS) in combination with database searching. Seventeen differentially expressed proteins were identified, among which 13 proteins were upregulated, and four proteins downregulated. The functions of these identified proteins can be classified into six classes related to: metabolism, oxidative stress, cellular functions, cytoskeletal proteins, signal tranduction, and protein degradation. They are mainly related to cellular energy metabolism, stress and inflammatory response, cell injury and repair, intracellular signal transduction, and other cellular functions, playing important roles in weightlessness-induced lung injury.     

Proteomic and redox-proteomic analysis of berberine-induced cytotoxicity in breast cancer cells

Berberine is a natural product isolated from herbal plants such as Rhizoma coptidis which has been shown to have anti-neoplastic properties. However, the effects of berberine on the behavior of breast cancers are largely unknown. To determine if berberine might be useful in the treatment of breast cancer and its cytotoxic mechanism, we analyzed the impact of berberine treatment on differential protein expression and redox regulation in human breast cancer cell line MCF-7 using lysine- and cysteine-labeling two-dimensional difference gel electrophoresis (2D-DIGE) combined with mass spectrometry (MS). This study demonstrated that 96 and 22 protein features were significantly changed in protein expression and thiol reactivity, respectively and revealed that berberine-induced cytotoxicity in breast cancer cells involves dysregulation of protein folding, proteolysis, redox regulation, protein trafficking, cell signaling, electron transport, metabolism and centrosomal structure. Our work shows that this combined proteomic strategy provides a rapid method to study the molecular mechanisms of berberine-induced cytotoxicity in breast cancer cells. The identified targets may be useful for further evaluation as potential targets in breast cancer therapy.     

Proteomic analysis of formalin-fixed paraffin-embedded tissue by MALDI imaging mass spectrometry

Archived formalin-fixed paraffin-embedded (FFPE) tissue collections represent a valuable informational resource for proteomic studies. Multiple FFPE core biopsies can be assembled in a single block to form tissue microarrays (TMAs). We describe a protocol for analyzing protein in FFPE-TMAs using matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS). The workflow incorporates an antigen retrieval step following deparaffinization, in situ trypsin digestion, matrix application and then mass spectrometry signal acquisition. The direct analysis of FFPE-TMA tissue using IMS allows direct analysis of multiple tissue samples in a single experiment without extraction and purification of proteins. The advantages of high speed and throughput, easy sample handling and excellent reproducibility make this technology a favorable approach for the proteomic analysis of clinical research cohorts with large sample numbers. For example, TMA analysis of 300 FFPE cores would typically require 6 h of total time through data acquisition, not including data analysis.     

Proteomic analysis

The field of proteomics is becoming increasingly important as genome sequences are being completed and annotated. Recent advances in proteomics include experimental and mathematical proofs of the need to complement microarray analysis with protein analysis, improved sensitivity for mass spectrometric analysis of separated proteins, better informatic tools for gel analysis and protein spot annotation, first steps towards automated experimental procedures, and new technology for quantitation of protein changes.     

Proteomic analysis of the aging-related proteins in human normal colon epithelial tissue

In order to screen the aging related proteins in human normal colon epithelia, the comparative proteomics analysis was applied to get the two-dimensional electrophoresis (2-DE) profiles with high resolution and reproducibility from normal colon epithelial tissues of young and aged people. Differential proteins between the colon epithelia of two age groups were found with PDQuest software. The thirty five differential protein-spots were identified by peptide mass fingerprint (PMF) based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) and database searching. Among them there are sixteen proteins which are significantly up-regulated in the colonic mucosal epithelia of young people group, which include ATP synthase beta chain, electron transfer flavoprotein alpha-subunit, catalase, glutathione peroxidase 1, annexin A2 and heat shock cognate 71 kDa protein, etc.; There are nineteen proteins which are significantly up-regulated in the colonic mucosal epithelia of aged people group, which include far upstream element-binding protein 1, nucleoside diphosphate kinase B, protein disulfide-isomerase precursor and VDAC-2, etc.. The identified differential proteins appear to be involved in metabolism, energy generation, chaperone, antioxidation, signal transduction, protein folding and apoptosis. The data will help to understand the molecular mechanisms of human colon epithelial aging.     

Proteomic analysis of human lysosomes: application to monocytic and breast cancer cells

To date, about fifty lysosomal hydrolases have been identified, and most of them are targeted towards the lysosomes through a specific mannose-6-phosphate (M-6-P) tag. As more lysosomal hydrolases were expected to be discovered, we performed a proteomic study of soluble lysosomal proteins. Human cells were induced to secrete M-6-P proteins which were affinity purified on immobilized M-6-P receptor. The purified proteins were resolved by two-dimensional electrophoresis and analyzed by mass spectrometry. Twenty-two proteins were identified, among which 16 were well-known lysosomal hydrolases. The remaining species distributed as follows: epididymis-specific alpha-mannosidase is a new mannosidase homolog, cystatin F and CREG (cellular repressor of E1A-stimulated genes) were previously identified as M-6-P proteins (Journet et al., Electrophoresis 2000, 21, 3411-3419), and the last three, which are not hydrolases, were up to now considered as nonlysosomal. This two-dimensional reference map of human U937 M-6-P proteins was afterwards used for comparison with M-6-P proteins purified either from U937 differentiated into macrophage-like cells, or from human breast cancer MCF7 cells. Phorbol ester induced differentiation of U937 cells led to limited proteolytic cleavage or maturation of a discrete number of hydrolases. Five additional lysosomal hydrolases were identified from MCF7 samples. These results prove the usefulness of such a procedure to analyze the lysosomal content of various cell lines, to discover new M-6-P proteins, as well as to point towards unknown biological processes.     

Proteomic analysis in human breast cancer: identification of a characteristic protein expression profile of malignant breast epithelium

Gene expression analysis has become a promising tool in predicting the clinical course of malignant disease and the response to antineoplastic therapy. Surprisingly, only little is known about the protein expression pattern of human tumors. Recent advances in proteomic analysis allow proteins of interest to be identified by their expression and/or modification pattern in 2-DE rather than using the traditional approach of translating gene expression data. To identify a proteomic pattern that is characteristic for malignant breast epithelium, we performed differential 2-DE analysis in sets of microdissected malignant breast epithelia and corresponding adjacent normal breast epithelia from five patients with invasive breast carcinoma. Thirty-two protein spots were found to be selectively regulated in malignant epithelium, and were subjected to MALDI-TOF and/or immunoblotting for protein identification. Thirteen of the identified proteins had previously not been associated with breast cancer. The validity of these findings was confirmed by literature review and immunohistochemistry for identified proteins in an independent cohort of 50 breast cancer specimens. We here describe, for the first time, a proteomic analysis of matched normal and malignant epithelia from invasive breast carcinomas. This strategy leads to a better understanding of oncogenesis at an operational level and helps to characterize the malignant phenotype of individual tumors, and thereby to identify novel targets for antineoplastic therapy.     

Proteomic analysis of lymph

This report provides the first proteomic analysis of normal ovine lymph. By establishing the fact that lymph is more than an ultrafiltrate of blood plasma, it documents that the lymph proteome contains an array of proteins that differentiates it from plasma. The protein chip technology, surface-enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS), two-dimensional gel electrophoresis (2-D PAGE) and MS, were employed to examine the protein expression profiles of ovine lymph. Using a weak cation exchange chip surface to assay lymph and plasma samples by SELDI-TOF-MS showed that the analysis of peak maps from lymph contained three protein peaks that were found only in lymph, while analysis of peak maps from plasma samples showed that five protein peaks were found only in plasma. Lymph and plasma samples showed eight peaks that were common to both. There were also more ions present in plasma than in lymph, which is consistent with the 2-D PAGE analysis. MS analysis of a large number of protein spots from 2-D PAGE gels of lymph produced MS/MS sequences for 18 proteins that were identified by searching against a comprehensive protein sequence database. As in plasma, large protein spots of albumin dominated the protein pattern in lymph. Other major proteins identified in 2-D PAGE gels of lymph included, fibrinogen alpha- and beta-chains, immunoglobulin G (IgG) heavy chain, serotransferrin precursor, lactoferrin, and apolipoprotein A-1. Two proteins that were identified and were differentially expressed in lymph were glial fibrillary astrocyte acidic protein and neutrophil cytosol factor-1. By bringing the technologies of proteomics to bear on the analysis of lymph, it is possible to detect proteins in lymph that are quantitatively and qualitatively differentially expressed from those of plasma.     

Proteomic characterization of microdissected breast tissue environment provides a protein‐level overview of malignant transformation

Both healthy and cancerous breast tissue is heterogeneous, which is a bottleneck for proteomics‐based biomarker analysis, as it obscures the cellular origin of a measured protein. We therefore aimed at obtaining a protein‐level interpretation of malignant transformation through global proteome analysis of a variety of laser capture microdissected cells originating from benign and malignant breast tissues. We compared proteomic differences between these tissues, both from cells of epithelial origin and the stromal environment, and performed string analysis. Differences in protein abundances corresponded with several hallmarks of cancer, including loss of cell adhesion, transformation to a migratory phenotype, and enhanced energy metabolism. Furthermore, despite enriching for (tumor) epithelial cells, many changes to the extracellular matrix were detected in microdissected cells of epithelial origin. The stromal compartment was heterogeneous and richer in the number of fibroblast and immune cells in malignant sections, compared to benign tissue sections. Furthermore, stroma could be clearly divided into reactive and nonreactive based on extracellular matrix disassembly proteins. We conclude that proteomics analysis of both microdissected epithelium and stroma gives an additional layer of information and more detailed insight into malignant transformation.     

Proteomic analysis of injured spinal cord tissue proteins using 2-DE and MALDI-TOF MS

Spinal cord injury (SCI) induces a progressive pathophysiology affecting cell survival and neurological integrity via complex and evolving molecular cascades whose interrelationships are not fully understood. Acute injury to the spinal cord undergoes sequential pathological change including hemorrhage, edema, axonal and neuronal necrosis, and demyelination. In the present study, we aimed to establish the proteomic profiles and characterization of the total protein expressed in traumatic injured spinal cord tissue by using 2-DE and matrix assisted laser desorption/ionization-TOF MS (MALDI-TOF MS). We performed proteomic analysis using 2-DE and MS to describe total proteins and differential proteins expression between normal and traumatic injured spinal cord tissues. The study discovered 947 total proteins and analyzed 219 and 270 proteins from normal and injured tissue, respectively. After 24 h of traumatic damage induction, the injured spinal cord tissue up-regulated over 39 proteins including neurofilament light chain, annexin 5, heat shock protein, tubulin beta, peripherin, glial fibrillary acidic protein delta, peroxiredoxin 2, and apolipoprotein A. Twenty-one proteins showed reduction. The majority of the modulated proteins belonged to the 13 functional categories. Proteins that were identified with neural functional category in injured tissue were considered most likely to be involved in wound healing response coupled with neurogenesis and gliogenesis.     

Proteomic analysis of human mesenchymal stromal cells derived from adipose tissue undergoing osteoblast differentiation

Background aimsStem cells derived from human adipose tissue (ASC) have the capacity for renewal, are easily obtained and have plasticity properties that allow them to differentiate into several cell types, including osteoblast cells. With the aim of understanding the issue of the osteogenic process and finding reliable biomarkers in cells undergoing the osteogeneic differentiation process, this work took advantage of a proteomic approach to identify proteins involved in osteogenesis.MethodsFor this purpose, ASC were analyzed under three conditions: S0, in the absence of stimulation; S1, with 2 weeks of osteogenic medium stimulation; and S2, with 4 weeks of osteogenic medium stimulation. The identification of ASC was carried out by flow cytometry using antibodies specific to known undifferentiated stem cell-surface markers. Cell viability, enzymatic activity, mineral deposition, collagen structure and production and gene analyzes were evaluated for each condition.ResultsPhenotypic modifications were observed during the in vitro osteogenic differentiation process by two-dimensional (2-D) differential image gel electrophoresis (DIGE). The proteins were identified by mass espectrometry in tandem (MS/MS) analyzes using Matrix-assisted laser desorption/ionization with TOF/TOF is a tandem mass spectrometry method where two time-of-flight mass spectrometers are used consecutively (MALDI-TOF/TOF). A total of 51 differentially expressed proteins was identified when comparing the three observed conditions. Sixteen different spots were identified in the S0 stage compared with S2, while 28 different spots were found in S2 compared with S0. S1 expressed seven different spots compared with S0 and S2.ConclusionsThese findings suggest the involvement of several proteins directly related to the osteogenic pathway, which can be used to improve understanding of the osteogenic process.