High resolution preparation of monocyte-derived macrophages (MDM) protein fractions for clinical proteomics
© Polati et al; licensee BioMed Central Ltd. 2009
Received: 30 September 2008
Accepted: 19 February 2009
Published: 19 February 2009
Macrophages are involved in a number of key physiological processes and complex responses such as inflammatory, immunological, infectious diseases and iron homeostasis. These cells are specialised for iron storage and recycling from senescent erythrocytes so they play a central role in the fine tuning of iron balancing and distribution. The comprehension of the many physiological responses of macrophages implies the study of the related molecular events. To this regard, proteomic analysis, is one of the most powerful tools for the elucidation of the molecular mechanisms, in terms of changes in protein expression levels.
Our aim was to optimize a protocol for protein fractionation and high resolution mapping using human macrophages for clinical studies. We exploited a fractionation protocol based on the neutral detergent Triton X-114. The 2D maps of the fractions obtained showed high resolution and a good level of purity. Western immunoblotting and mass spectrometry (MS/MS analysis) indicated no fraction cross contamination. On 2D-PAGE mini gels (7 × 8 cm) we could count more than five hundred protein spots, substantially increasing the resolution and the number of detectable proteins for the macrophage proteome. The fractions were also evaluated, with preliminary experiments, using Surface Enhanced Laser Desorption Ionization Time of Flight Mass Spectrometry (SELDI-TOF-MS).
This relatively simple method allows deep investigation into macrophages proteomics producing discrete and accurate protein fractions, especially membrane-associated and integral proteins. The adapted protocol seems highly suitable for further studies of clinical proteomics, especially for the elucidation of the molecular mechanisms controlling iron homeostasis in normal and disease conditions.
Macrophages are involved in a number of key physiological processes and complex responses such as inflammatory, immunological, infectious diseases and iron homeostasis. Iron homeostasis is mainly controlled by the liver-produced hepcidin peptide . This small hormone synchronizes systemic iron fluxes by binding to the iron export channel ferroportin located on the surface of macrophages, hepatocytes and intestinal enterocytes to cause its internalization and proteolysis . Ferroportin, the only known cellular iron exporter, is highly expressed on cells involved in iron export, including the duodenal mucosa, macrophages and cells of the placenta. In macrophages, ferroportin is required for the efficient recycling of iron from ingested erythrocytes .
In vivo, tissue macrophages are derived from circulating monocytes recruited in the tissues by constitutive or inflammatory signals [4, 5]. Primary cultures of monocyte-derived macrophages (MDMs) constitute a good model for studying the biological activities of macrophages, and are excellent candidates for a proteomic approach; in fact they can be easily obtained and cultured within 12 days. During this period they acquire many of the characteristics of in vivo activated tissue macrophages, such as CD14 (LPS receptor)-expression , and the secretion of proteases involved in remodelling the extracellular matrix .
Proteomic analysis is the most powerful method to elucidate the proteic effectors of cellular processes [8–10]. Two-dimensional electrophoresis allows to map protein populations, to identify and underpin proteins whose expression levels correlate with particular responses or with pathological states , generating information to designate protein markers specific for the disease. Sometime, the analysis of total cell proteome poses practical challenges, due to its complexity (a thousand of proteins expressed in a cell), to the great dynamic range of protein expression and to the different protein properties (pI, molecular mass, hydrophobicity, post-translational modifications). Suitable strategies to decrease such high complexity are aimed at analysing subsets of the proteome, e.g. by narrowing the pH range used for the first dimension , or by the sub-fractionation of proteins into more homogeneous classes .
The analysis of single cellular compartments, fractionating the proteins into common localisation categories, e.g. secreted components, membrane, nuclear, organelle's proteins and cytosol, has given important practical advantages and results offer a better insight into the protein expression of each cell fraction considered [14–18]. Sometimes the isolation of proteome sub-sets has been achieved with selective tagging methods for proteins, as in the case of surface proteins, membrane-associated components . Alternatively, sequential extraction methods are used to collect proteins with physico-chemical properties in-common .
Aimed at understanding the molecular mechanisms occurring during the physiological responses of macrophages to different stimuli/environment/pathological conditions, the proteome of such cells has been sub-mapped in secretome, cytosol and membrane proteomes [21, 22]. Further optimisation of the protein extraction method would results in higher resolution of the 2D maps, with benefit in terms of comparative proteome studies, thus permitting to expand significantly our knowledge on macrophages and on their role in iron dealing. MDMs are a good model for macrophages proteomic studies, being easy to recruit, grow and mimicking well tissues differentiated ones.
Here we report on the effective fractionation of cytosol and membrane proteins of MDMs, by the adaptation of a protocol that uses the neutral detergent Triton X-114, whose peculiarity is the temperature-dependent solubility. The treatment proved to be very effective for fractionating proteins on the basis of their hydropathicity . Membrane, cytosol and secretome proteins have been run on 2D gels. Mini gels allowed to count over 500 protein spots, with very sharply focused spots. MS/MS on sampled spots was used for deciphering the maps, indicating good correlation between the fraction analysed and the protein spot identified in the fraction. In preliminary experiments we also assessed the obtained fraction by SELDI-TOF-MS for hepcidin content, and we could detect a peptide with the same mass as hepcidin only in the cytosolic fraction, as expected.
Results & Discussion
Primary cultures of human MDMs were prepared by differentiation of monocytes from blood donors according to literature . Optical microscope analysis showed a good differentiation of MDMs in 12 days. The purity of the cultures was evaluated as in ref. ; the flow cytometry analysis permitted to assess the purity of the cultures by testing positivity of macrophages to CD14 and CD45 (data not shown). Iron metabolism and macrophages are closely linked; these specialized cells are devoted to iron storage and recycling, expressing crucial proteic effectors on the cell membrane such as ferroportin (the only known iron-exporting-channel) and other soluble iron-related proteins (IronRegulatoryProteins-IRPs, Ferritin, etc.) . While most of the genes and RNAs involved in iron homeostasis have been described, still little is known on the proteins deputed to such function. To unravel protein candidates of clinical interest, proteome analysis appears as the reference technology for such investigations.
Due to the complexity of an entire cell lysate from a proteomic point of view, and willing to gain a wide range of information, we decided to fractionate the sample prior to 2D electrophoresis.
The three main fraction were run on the same SDS-PAGE and equal amount of total protein were loaded in each lane. Only the lane referring to the cytosolic fraction showed a distinct band when developed with the anti-PGK1 antibody, being clear the presence of the enzyme only in there and thus indicating no major contamination between fractions. In addition, only the lane referring to the membrane fraction showed a distinct band when developed with the anti MMP-9 antibody, indicating no contamination of the cytosolic fraction by membrane proteins.
membrane fraction identified proteins
Mw, kDa theor./exp.
No. of peptides identified
NCBI Accession Number
isocitrate dehydrogenase (NADP+)
mutant beta-actin (beta'-actin)
ATP synthase, H+ transporting, mitochondrial F0 complex, subunit d isoform a
ATP synthase, H+ transporting, mitochondrial F1 complex, alpha subunit precursor
beta actin variant
ATP synthase, H+ transporting, mitochondrial F1 complex, alpha subunit 1, cardiac muscle
Porin 31HM [human, skeletal muscle membranes, Peptide, 282 aa]
NADH dehydrogenase (ubiquinone) Fe-S protein 3, 30 kDa (NADH-coenzyme Q reductase)
elongation factor Tu
beta actin variant
mitochondrial ATP synthase, H+ transporting F1 complex beta subunit
beta actin variant
ubiquinol-cytochrome c reductase core protein I
Chain A, Crystal Structure Of Human Tryptophanyl-Trna Synthetase
Being interested in iron metabolism we also evaluated the fractions in term of hepcidin content (see the additional files 1 and 2 for SELDI-TOF-MS method details and figure). Hepcidin is the master regulator of iron homeostasis and acts by tuning iron influx into plasma from tissues dedicated to iron storage or transport. In particular macrophages recycle iron from senescent entherocytes. Our interest was to monitor hepcidin presence in the fraction in order to study its behavior in cultured macrophages. In preliminary experiments, a peptide matching the mass of hepcidin was detectable only in the cytosol but not in the other compartments (see additional file 2).
Notwithstanding recent progress, much work remains to be done in defining the role of hepcidin in both healthy and diseased states. However, to date, few investigative tools are available [26–29]. By means of SELDI-TOF-MS technology, we and others were successful to detect hepcidin and its isoforms in urine and serum [1, 30, 31]. Our preliminary results appear to confirm the presence of hepcidin in macrophages also as protein, extending the data reported by Theurl and colleagues about hepcidin mRNA in monocyte/macrophages . The presence of a peptide of the same mass as hepcidin in the cytosolic fraction is in agreement with the known cycle of hepcidin from liver to cells, by means of binding to ferroportin and internalization [1, 2, 33]. We are going to validate this approach investigating other MDMs under different conditions. Further experiments are needed for a better understanding of the peptide behavior regarding its binding to membrane proteins. The mutual interaction of hepcidin with ferroportin is essential for the understanding of iron homeostasis in the cells  and the study of MDMs from patients and/or animal models of ferroportin disease  could give new insights into this field.
The purpose of this work was to find a feasible method for the study of cytosolic, integral membrane, membrane associated and secreted proteins in comparative proteomics experiments of clinically relevant samples. This technique, based on Triton X-114, allowed us to obtain high resolution 2D maps for all the fractions. The fractionation and extraction method gave as an improvement in spots number detectable and amount of information achievable. In particular the results obtained mapping membrane proteins are remarkable: the maps show high quality spots and no streaks. In fact membrane proteins, due to their hydrophobicity, usually focus poorly using the conventional isoelectrofocusing (IEF) procedure, often leading to horizontal streaks. Mapping separately the protein population of macrophages, in healthy and disease conditions, would allow a deeper understanding of Hereditary Hemochromatosis and iron related disorders.
Monocyte Derived Macrophages Coltures
Peripheral blood mononuclear cells were isolated from healthy human blood donors attending to the Transfusion Service, University Hospital of Verona.
Primary cultures of human MDMs were prepared as described by Pinet  with minor changes. Monocytes were left to differentiate in a RPMI medium, containing 2 mM streptomycin, 2 mM Gln, and 10% FCS. Monocytes purity was tested by flow cytometer, according to ref  quality criteria.
After the differentiation, cells were lysed as in ref  with some modifications. Lysis solution was 10 mM HEPES, 10 mM KCl, protease inhibitor (Mini-Complete Roche). Cell were washed 4–5 times with 10 mL DPBS at room temperature. The washes were collected and pooled for secretome analysis. Three mL of cold lysis buffer were added and incubate 10 min. Cells were scraped from the surface and centrifuged 25 min at 16000 g. Cytoplasm was recovered as supernatant, membranes as pellet.
Extraction of secreted proteins
The culture media were pooled and the proteins precipitated for 1 h at 0°C by adding 15% TCA. The protein pellets were collected by centrifuging at 13000 g for 10 minutes at 4°C and washed two times with 1 mL of cold acetone. The pellets were then resuspended in buffer containing 2 M tiourea, 7 M urea, 3% CHAPS, 20 mM Tris, and protein concentration was determined by Bradford assay using BSA as standard.
Extraction of intracellular (cytosol) proteins
The supernatant was precipitated overnight at -20°C with acetone: methanol (8:1 vol/vol), then centrifuged 20 min at 18300 g; the pellet was recovered, let dry and re-suspended in 7 M urea, 2 M thiourea, 3% CHAPS, 20 mM Tris, 1% ampholytes and centrifuged 40 min at 18300 g to precipitate DNA contaminants (dark pellet on the bottom of the eppendorf).
Extraction of membrane proteins
The extraction buffer is prepared with 2% Triton X-114 in TBS (150 mM NaCl, 10 mM Tris-HCl pH 7.6). The extraction is conducted on ice. The membrane pellet is re-suspended in 100 μl MilliQ water and added of 500 μl extraction buffer, then 1) homogenised with a small syringe, 2) let stand in ice for 1 min, 3) vortex for 1 min, 4) let stand in ice for 1 min. The four steps are repeated five times and then the sample is kept on ice for 10 min, vortexed, and finally put 1 hour at 37°C. The sample is then centrifuged for 5 min at 16000 g at room temperature. The lower phase contains Triton X-114 with the membrane proteins, the upper phase contains the aqueous phase and proteins. The two phases are collected and each one is precipitated overnight at -20°C with acetone: methanol (8:1 vol/vol), then centrifuged 20 min at 18300 g. Each pellet was recovered, let dry and re-suspended in 7 M urea, 2 M thiourea, 3% CHAPS, 20 mM Tris.
Extraction of membrane-associated proteins
The upper phase, expected to be enriched in hydrophilic proteins, collected during the extraction of membrane proteins, was precipitated overnight with cold acetone:methanol (8:1 vol/vol) at -20°C. The protein pellets were recovered by centrifugation at 18300 g for 20 minutes at 4°C. The pellets were then resuspended in buffer containing 2 M thiourea, 7 M urea, 3% CHAPS, 20 mM Tris, and protein concentration was determined by Bradford assay.
Control of fraction purity by western immunoblotting
Protein fractions were separated by SDS-PAGE and immunodetected with antibody specific for a cytosolic protein (PGK I) and a membrane bound protein (MMP9) by Western blot to verify the efficiency of separation protocol. Protein extracts were diluited 1:1 with Laemmli's sample buffer (62.5 mM Tris-HCl, pH 6.8, 25% glycerol, 2% SDS, 0.01% bromophenol blue, 5% β-mercaptoethanol), boiled for 3 min and separated by SDS-PAGE on 12% T acrylamide gels in Tris/glycine/SDS buffer. Proteins were then electroblotted onto PVDF membranes (Biorad) at 60 V for 2 h at 4°C. Non specific sites were blocked by incubating with 3% non-fat dried milk and 0.05% Tween-20 (Sigma-Aldrich) in Tris-buffered saline (TBS-T) for 1 h at 37°C. Membranes were incubated overnight at room temperature with the primary antibody for PGK I (Sigma-Aldrich) diluited 1:500, in 3% non-fat dried milk and 0.05% Tween-20 (Sigma-Aldrich) in TBS and with the primary antibody for MMP-9 (Sigma-Aldrich) diluted 1:1000 in 3% non-fat dried milk and 0.05% Tween-20 (Sigma-Aldrich) in TBS. Membranes were washed four times for 15 min with TBS-T and then were incubated for 1 h at room temperature with the appropriate horseradish peroxidase-conjugated secondary antibody: ECL anti-goat IgG horseradish peroxidase-linked (Sigma-Aldrich) at 1:20000 diluition for PGK I and ECL anti-rabbit IgG horseradish peroxidase-linked (Sigma-Aldrich) at 1:5000 diluition for MMP-9. Membranes were washed three times for 15 min with TBS-T and once for 15 min with TBS. Finally the immunocomplexes were detected by chemiluminescence (ECL, GE Healthcare,) on X-ray X-Omat AR (Kodak, Rochester, NY, USA) films. The Western-blot image was obtained by scanning films using Quantity One software Version 4.4 (Biorad).
Proteins samples (100 μg for intracellular proteins, 100 μg for membrane proteins, 100 μg for membrane-associated proteins and 100 μg for secreted proteins) were mixed with solubilization buffer (2 M thiourea, 7 M urea, 3% CHAPS, 20 mM Tris) to obtain a final volume of 150 μl. Each sample was reduced and alkylated with 5 mM tributylphosphine and 10 mM acrylamide. The mixture was then applied to the dry gel strip (IPG 70 mm, pH 3–10 non linear gradient) for reswelling. Focusing was performed at 300 V for 2 h, 400 V for 1 h, 1000 V for 6 h, 2000 V for 2 h, 3500 V for 5 h, 5000 V until the complete focalization (25000 Vxh). The current was limited to 50 μA per strip, and the temperature was kept at 20°C for all IEF steps. For SDS-PAGE, the IPG strips were incubated in equilibration buffer (6 M urea, 2% SDS, 20% glycerol, 0.375 M Tris-HCl pH 8.8) for 26 minutes and then transferred to the second dimension onto 10%–20% T gradient acrylamide gels. The gels were run 5 mA per gel for 1 h, 10 mA per gel for 1 h and 20 mA per gel until the bromophenol blue front had reached the bottom of the gel. The 2-DE gels were stained in Sypro Ruby: the proteins were first fixed in a solution of 7% acetic acid and 10% methanol for 1 h, then incubated in Sypro Ruby overnight and finally destained in 7% acetic acid and 10% methanol for 2 h. Sypro Ruby stained 2-DE gels were digitized using VersaDoc (BioRad, Hercules, CA) and bioinformatic analysis was performed with PDQuest 7.3.0 (BioRad).
Mass spectrometry analysis
Protein spots were carefully cut out from Sypro Ruby stained gels and subjected to in-gel trypsin digestion according to Shevchenko and colleagues with minor modifications . The gel pieces were swollen in a digestion buffer containing 50 mM NH4HCO3 and 12.5 ng/μL of trypsin (modified porcine trypsin, sequencing grade, Promega, Madison, WI) in an ice bath. After 30 min, the supernatant was removed and discarded, 20 μL of 50 mM NH4HCO3 was added to the gel pieces, and digestion was allowed to proceed at 37°C overnight. The supernatant containing tryptic peptides was dried by vacuum centrifugation. Prior to mass spectrometric analysis, the peptide mixtures were redissolved in 10 μL of 5% Formic Acid.
Protein Identification by nano-HPLC-MS/MS
Peptide mixtures were separated using a nanoflow-HPLC system (Ultimate; Switchos; Famos; LC Packings, Amsterdam, The Netherlands). A sample volume of 10 μL was loaded by the autosampler onto a homemade 2 cm fused silica precolumn (75 μm i.d.; 375 μm o.d.; Reprosil C18-AQ, 3 μm (Ammerbuch-Entringen, DE)) at a flow rate of 2 μL/min. Sequential elution of peptides was accomplished using a flow rate of 200 nL/min and a linear gradient from solution A (2% acetonitrile and 0.1% formic acid) to 50% of solution B (98% acetonitrile and 0.1% formic acid) in 40 min over the precolumn in-line with a homemade 10–15 cm resolving column (75 μm i.d.; 375 μm o.d.; Reprosil C18-AQ, 3 μm (Ammerbuch-Entringen, Germany)).
Peptides were eluted directly into a High Capacity ion Trap (model HCTplus, Bruker-Daltonik, Germany). Capillary voltage was 1.5–2 kV and a dry gas flow rate of 10 L/min was used with a temperature of 230°C. The scan range used was from 300 to 1800 m/z. Protein identification was performed by searching in the National Center for Biotechnology Information nonredundant database (NCBInr) using the Mascot program http://www.matrixscience.com. The following parameters were adopted for database searches: complete carbamidomethylation of cysteines and partial oxidation of methionines, peptide mass tolerance ± 1.2 Da, fragment mass tolerance ± 0.9 Da, missed cleavages 2. For positive identification, the score of the result of (-10 Log(P)) had to be over the significance threshold level (P < 0.05).
Even though high MASCOT scores are obtained with values greater than 60, when proteins were identified with only one peptide, a combination of automated database search and manual interpretation of peptide fragmentation spectra was used to validate protein assignments. In this manual verification, the mass error, the presence of fragment ion series, and the expected prevalence of C-terminus containing (Y-type ions) in the high mass range were all taken into account. Moreover, replicate measurements have confirmed the identity of these protein hits.
This work was supported by grants from Telethon Italy (Nos. GGP06213 to DG) and the Cariverona Foundation, Verona, Italy (to RC). The authors thank Francesca Bonini and Daniela Cecconi for technical help in performing experimental analyses.
- Nemeth E, Tuttle MS, Powelson J, Vaughn MB, Donovan A, Ward DM, Ganz T, Kaplan J: Hepcidin regulates cellular iron efflux by binding to ferroportin and inducing its internalization. Science 2004, 306: 2090–2093.PubMedView ArticleGoogle Scholar
- Andrews NC: Forging a field: the golden age of iron biology. Blood 2008, 112: 219–230.PubMed CentralPubMedView ArticleGoogle Scholar
- De Domenico I, McVey Ward D, Kaplan J: Regulation of iron acquisition and storage: consequences for iron-linked disorders. Nat Rev Mol Cell Biol 2008, 9: 72–81.PubMedView ArticleGoogle Scholar
- Hansson GK: Inflammation and immune response in atherosclerosis. Curr Atheroscler Rep 1999,1(2):150–155.PubMedView ArticleGoogle Scholar
- Dale DC, Boxer L, Liles WC: The phagocytes: neutrophils and monocytes. Blood 2008, 112: 935–945.PubMedView ArticleGoogle Scholar
- Schlegel RA, Krahling S, Callahan MK, Williamson P: CD14 is a Component of Multiple Recognition Systems used by Macrophages to Phagocytose Apoptotic Lymphocytes. Cell Death Differ 1999,6(6):538–592.View ArticleGoogle Scholar
- Lepidi S, Kenagy RD, Raines EW, Chiu ES, Chait A, Ross R, Clowes AW: MMP9 production by human monocyte-derived macrophages is decreased on polymerized type I collagen. J Vasc Surg 2001, 34: 1111–1118.PubMedView ArticleGoogle Scholar
- O'Farrel PH: High resolution two-dimesional eletrophoresis of proteins. J Biochem Biophys Methods 1975, 250: 4007–4021.Google Scholar
- Bergh G, Arckens L: Recent advances in 2D electrophoresis: an array of possibilities. Expert Rev Proteomics 2005, 2: 243–252.PubMedView ArticleGoogle Scholar
- Yang S, Huang CM: Recent advances in protein profiling of tissues and tissue fluids. Expert Rev Proteomics 2007, 4: 515–529.PubMedView ArticleGoogle Scholar
- Hanash S: Disease proteomes. Nature 2003, 422: 226–232.PubMedView ArticleGoogle Scholar
- Westbrook JA, Yan JX, Wait R, Welson SY, Dunn MJ: Zooming-in on the proteome: very narrow-range immobilised pH gradients reveal more protein species and isoforms. Electrophoresis 2001, 22: 2865–2871.PubMedView ArticleGoogle Scholar
- Righetti PG, Castagna A, Herbert B, Reymond F, Rossier JS: Prefractionation techniques in proteome analysis. Proteomics 2003, 3: 1397–1407.PubMedView ArticleGoogle Scholar
- Yates JR 3rd, Gilchrist A, Howell KE, Bergeron JJ: Proteomics of organelles and large cellular structures. Nat Rev Mol Cell Biol 2005, 6: 702–714.PubMedView ArticleGoogle Scholar
- Komatsu S: Extraction of nuclear proteins. Methods Mol Biol 2007, 355: 73–77.PubMedGoogle Scholar
- Fischer F, Wolters D, Rögner M, Poetsch A: Toward the complete membrane proteome: high coverage of integral membrane proteins through transmembrane peptide detection. Mol Cell Proteomics 2006, 5: 444–453.PubMedView ArticleGoogle Scholar
- Song Y, Hao Y, Sun A, Li T, Li W, Guo L, Yan Y, Geng C, Chen N, Zhong F, Wei H, Jiang Y, He F: Sample preparation project for the subcellular proteome of mouse liver. Proteomics 2006, 6: 5269–5277.PubMedView ArticleGoogle Scholar
- Guimarães de Araújo ME, Huber LA: Subcellular fractionation. Methods Mol Biol 2007, 357: 73–85.Google Scholar
- Sabarth N, Lamer S, Zimny-Arndt U, Jungblut PR, Meyer TF, Bumann D: Identification of surface proteins of Helicobacter pylori by selective biotinylation, affinity purification, and two-dimensional gel electrophoresis. J Biol Chem 2002, 277: 27896–27902.PubMedView ArticleGoogle Scholar
- Cordwell SJ: Sequential extraction of proteins by chemical reagents. Methods Mol Biol 2008, 424: 139–146.PubMedView ArticleGoogle Scholar
- Dupont A, Tokarski C, Dekeyzer O, Guihot AL, Amouyel P, Rolando C, Pinet F: Two-dimensional maps and databases of the human macrophage proteome and secretome. Proteomics 2004, 4: 1761–1778.PubMedView ArticleGoogle Scholar
- Slomianny MC, Dupont A, Bouanou F, Beseme O, Guihot AL, Amouyel P, Michalski JC, Pinet F: Profiling of membrane proteins from human macrophages: comparison of two approaches. Proteomics 2006, 6: 2365–2375.PubMedView ArticleGoogle Scholar
- Santoni V, Kieffer S, Desclaux D, Masson F, Rabilloud T: Membrane proteomics: use of additive main effects with multiplicative interaction model to classify plasma membrane proteins according to their solubility and electrophoretic properties. Electrophoresis 2000, 21: 3329–3344.PubMedView ArticleGoogle Scholar
- Pinet F, Dupont A, Bencherif N, Guihot AL, Quatannens B, Amouyel P: Morphology, homogeneity and functionality of human monocytes-derived macrophages. Cell mol biol 2003, 49: 899–905.PubMedGoogle Scholar
- Churchward MA, Butt RH, Lang JC, Hsu KK, Coorssen JR: Enhanced detergent extraction for analysis of membrane proteomes by two-dimensional gel electrophoresis. Proteome Sci 2005, 3: 5.PubMed CentralPubMedView ArticleGoogle Scholar
- Ganz T, Olbina G, Girelli D, Nemeth E, Westerman M: Immunoassay for human serum hepcidin. Blood 2008, in press.Google Scholar
- Swinkels DW, Girelli D, Laarakkers C, Kroot J, Campostrini N, Kemna EH, Tjalsma H: Advances in quantitative hepcidin measurements by time-of-flight mass spectrometry. PLoS ONE 2008, 3: e2706.PubMed CentralPubMedView ArticleGoogle Scholar
- Murphy AT, Witcher DR, Luan P, Wroblewski VJ: Quantitation of hepcidin from human and mouse serum using liquid chromatography tandem mass spectrometry. Blood 2007, 110: 1048–1054.PubMedView ArticleGoogle Scholar
- Murao N, Ishigai M, Yasuno H, Shimonaka Y, Aso Y: Simple and sensitive quantification of bioactive peptides in biological matrices using liquid chromatography/selected reaction monitoring mass spectrometry coupled with trichloroacetic acid clean-up. Rapid Commun Mass Spectrom 2007, 21: 4033–4038.PubMedView ArticleGoogle Scholar
- Kemna EH, Tjalsma H, Willems HL, Swinkels DW: Hepcidin: from discovery to differential diagnosis. Haematologica 2008, 93: 90–97.PubMedView ArticleGoogle Scholar
- Bozzini C, Campostrini N, Trombini P, Nemeth E, Castagna A, Tenuti I, Corrocher R, Camaschella C, Ganz T, Olivieri O, Piperno A, Girelli D: Measurement of urinary hepcidin levels by SELDI-TOF-MS in HFE-hemochromatosis. Blood Cells Mol Dis 2008, 40: 347–352.PubMedView ArticleGoogle Scholar
- Theurl I, Theurl M, Seifert M, Mair S, Nairz M, Rumpold H, Zoller H, Bellmann-Weiler R, Niederegger H, Talasz H, Weiss G: Autocrine formation of hepcidin induces iron retention in human monocytes. Blood 2008, 111: 2392–2399.PubMedView ArticleGoogle Scholar
- De Domenico I, Ward DM, Kaplan J: Hepcidin regulation: ironing out the details. J Clin Invest 2007, 117: 1755–1758.PubMed CentralPubMedView ArticleGoogle Scholar
- De Domenico I, Nemeth E, Nelson JM, Phillips JD, Ajioka RS, Kay MS, Kushner JP, Ganz T, Ward DM, Kaplan J: The hepcidin-binding site on ferroportin is evolutionarily conserved. Cell Metab 2008, 8: 146–156.PubMed CentralPubMedView ArticleGoogle Scholar
- Pietrangelo A: The ferroportin disease. Blood Cells Mol Dis 2004, 32: 131–138.PubMedView ArticleGoogle Scholar
- Shevchenko A, Wilm M, Vorm O, Mann M: Mass spectrometric sequencing of proteins silver-stained polyacrylamide gels. Anal Chem 1996, 68: 850–858.PubMedView ArticleGoogle Scholar
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