Biomedical subjects

William S Hancock

Publications and source records attributed to William S Hancock.

At least 19 recordsLinked to original sources

PubMed2006

Multilectin affinity chromatography for characterization of multiple glycoprotein biomarker candidates in serum from breast cancer patients.

BACKGROUND: Glycoproteins are often associated with cancer and are important in serum studies, for which glycosylation is a common posttranslational modification. METHODS: We used multilectin affinity chromatography (M-LAC) to isolate glycoproteins from the sera of breast cancer patients and controls. The proteins were identified by HPLC-tandem mass spectrometry (MS/MS) analysis of the corresponding tryptic digests. We used the FuncAssociate Gene Ontology program for association analysis of the identified proteins. Biomarker candidates in these groups were comparatively quantitated by use of peak area measurements, with inclusion of an internal standard. We analyzed data for concordance within the ontology association groups for vector of change with the development of breast cancer. RESULTS: Detection of the known low-concentration biomarker HER-2 (8-24 mug/L) enabled us to establish a dynamic range of 10(6), relative to the amount of albumin, for the depletion step. We then used ELISA to confirm this range. Proteins associated with lipid transport and metabolism, cell growth and maintenance, ion homeostasis, and protease inhibition were found to be differentially regulated in serum from women with breast cancer compared with serum from women without breast cancer. CONCLUSIONS: M-LAC for isolation of the serum glycoproteome, coupled with liquid chromatography-MS/MS and the use of gene ontology associations, can be used to characterize large panels of candidate markers, which can then be evaluated in a particular patient population.

Biomarkers, Tumor↗

PubMed2006

Glycation of interferon-beta-1b and human serum albumin in a lyophilized glucose formulation. Part III: application of proteomic analysis to the manufacture of biological drugs.

Glycation of interferon-beta-1b and human serum albumin was identified in a lyophilized glucose formulation by a sensitive LC-MS approach. The extent of glycation was measured by a label-free quantitation strategy. The glycation sites were determined by the accurate mass (FTICR MS) with MS/MS measurements on the corresponding tryptic peptides. The extent of glycation was measured by the ratio of the peak intensity between the glycated and the average value for three non-glycated peptides in the same run. Residues lysine 18 of interferon-beta-1b, and lysine 51, lysine 233, and lysine 545 of human serum albumin were more prone to be glycated than other sites in this lyophilized glucose formulation. Residues of lysine 51 and lysine 233 but not lysine 545 of human serum albumin are highly accessible to solvent as found in a solution storage study by Lapolla et al. The extent of glycation of both proteins and the number of glycation sites of human serum albumin were increased with the storage time at 25 degrees C. In total, two glycation sites of interferon beta-1b and 17 glycation sites of human serum albumin were identified in the lyophilized glucose formulation with a storage time at 25 degrees C of 35 days. Among the 17 glycation sites, only lysine 525 of human serum albumin has been found in vivo in diabetic patients by Shaklai et al. As expected, there was no glycation found on both interferon-beta-1b and human serum albumin in the control samples (similar lyophilized formulation but using mannitol instead of glucose).

Amino Acid Sequence↗

PubMed2006

Analysis of the low molecular weight serum peptidome using ultrafiltration and a hybrid ion trap-Fourier transform mass spectrometer.

Advances in proteomics are continuing to expand the ability to analyze the serum proteome. In recent years, it has been realized that in addition to the circulating proteins, human serum also contains a large number of peptides. Many of these peptides are believed to be fragments of larger proteins that have been at least partially degraded by various enzymes such as metalloproteases. Identifying these peptides from a small amount of serum/plasma is difficult due to the complexity of the sample, the low levels of these peptides, and the difficulties in getting a protein identification from a single peptide. In this study, we modified previously published protocols for using centrifugal ultrafiltration, and unlike past studies did not digest the filtrate with trypsin with the intent of identifying endogenous peptides with this method. The filtrate fraction was concentrated and analyzed by a reversed phase-high performance liquid chromatography system connected to a nanospray ionization hybrid ion trap-Fourier transform mass spectrometer (LTQ-FTMS). The mass accuracy of this instrument allows confidence for identifying the protein precursors by a single peptide. The utility of this approach was demonstrated by the identification of over 300 unique peptides with 2 ppm or better mass accuracy per serum sample. With confident identifications, the origin and function of native serum peptides can be more seriously explored. Interestingly, over 34 peptide ladders were observed from over 17 serum proteins. This indicates that a cascade of proteolytic processes affects the serum peptidome. To examine whether this result was an artifact of serum, matched plasma and serum samples were analyzed with similar peptide ladders found in each.

Amino Acid Sequence↗

PubMed2006

Approaches to the study of N-linked glycoproteins in human plasma using lectin affinity chromatography and nano-HPLC coupled to electrospray linear ion trap--Fourier transform mass spectrometry.

In this publication, we will describe the combination of lectin affinity chromatography with nano high performance liquid chromatography (HPLC) coupled to a linear ion trap Fourier transform mass spectrometer (capillary LC-LTQ/FTMS) to characterize N-linked glycosylation structures in human plasma proteins. We used a well-characterized glycoprotein, tissue plasminogen activator (rt-PA), which is present at low levels in blood, as a standard to determine the dynamic range of this approach. N-linked glycopeptides derived from rt-PA could be characterized at a ratio of 1:200 in human plasma (rtPA: total plasma protein, w/w) by accurate mass measurement in the FTMS and fragmentation (MS(n)) in the linear ion trap. We demonstrated that this platform has the potential to characterize the general N-linked glycosylation structures of abundant glycoproteins present in human plasma without the requirement for antibody-based purification, or additional carbohydrate analytical protocols. This conclusion was supported by the determination of carbohydrate structures for three glycoproteins, IgG, haptoglobin, and alpha-1-acid glycoprotein, at their natural levels in a human plasma sample, but only after the lectin enrichment step.

Amino Acid Sequence↗

PubMed2006

Rapid proteome analysis of bronchoalveolar lavage samples of lifelong smokers and never-smokers by micro-scale liquid chromatography and mass spectrometry.

BACKGROUND: The aim of this study was to determine whether relative qualitative and quantitative differences in protein expression could be related to smoke exposure or smoke-induced airway inflammation. We therefore explored and characterized the protein components found in bronchoalveolar lavage (BAL) fluid sampled from either lifelong smokers or never-smokers. METHODS: BAL fluid samples obtained by bronchoscopy from 60-year-old healthy never-smokers (n = 18) and asymptomatic smokers (n = 30) were analyzed in either pooled or individual form. Initial global proteomic analysis used shotgun digestion approaches on unfractionated BAL fluid samples (after minimal sample preparation) and separation of peptides by gradient (90-min) liquid chromatography (LC) coupled with on-line linear ion trap quadropole mass spectrometry (LTQ MS) for identification and analysis. RESULTS: LTQ MS identified 481 high- to low-abundance proteins. Relative differences in patterns of BAL fluid proteins in smokers compared with never-smokers were observed in pooled and individual samples as well as by 2-dimensional gel analysis. Gene ontology categorization of all annotated proteins showed a wide spectrum of molecular functions and biological processes. CONCLUSIONS: The described method provides comprehensive qualitative proteomic analysis of BAL fluid protein expression from never-smokers and from smokers at risk of developing chronic obstructive pulmonary disease. Many of the proteins identified had not been detected in previous studies of BAL fluid; thus, the use of LC-tandem MS with LTQ may provide new information regarding potentially important patterns of protein expression associated with lifelong smoking.

Bronchoalveolar Lavage Fluid↗

PubMed2005

Monitoring glycosylation pattern changes of glycoproteins using multi-lectin affinity chromatography.

Previously, we reported that the distribution of glycoproteins into the lectin displacement fractions of a multi-lectin affinity column was determined by the glycosylation patterns of the proteins. This distribution was observed by the sequential use of displacers specific to the lectins in the column. In this study we have evaluated the multi-lectin column (containing Concanavalin A, Wheat germ agglutinin and Jacalin lectin) to screen glycoproteins with known glycosylation pattern changes. The presence of a glycoprotein in a given displacer fraction was determined by LC-MS/MS analysis of a tryptic digest. We have used the enzyme neuraminidase to modify the oligosaccharide chains present in human transferrin, and used the enzymes, neuraminidase and fucosidase, to modify glycoproteins present in human serum. Then, by comparison with the untreated samples, we demonstrated a distribution shift of the enzyme-treated serum glycoproteins in the displacement fractions isolated from the multi-lectin column. The fractions were analyzed by a protein assay, Sequest rank comparison and peak area measurement from the extracted ion chromatogram. The results indicated that the multi-lectin affinity column (M-LAC) is sensitive to changes in the content of sialic acid and fucosyl residues present in serum glycoproteins, and has the potential to be used to screen serum proteins for glycosylation changes due to disease. In addition, the use of a glycosidase to induce specific structural changes in glycoproteins can support the development of multi-lectin column formats specific for detecting changes in the glycoproteome of certain diagnostic fluids and types of disease.

Amino Acid Sequence↗

PubMed2005

A study of glycoproteins in human serum and plasma reference standards (HUPO) using multilectin affinity chromatography coupled with RPLC-MS/MS.

The glycoproteome is a major subproteome present in human plasma. In this study, we isolated and characterized approximately 150 glycoproteins from the human plasma and serum samples provided by HUPO using a multilectin affinity column. The corresponding tryptic digest was separated by RP-HPLC coupled to an IT mass spectrometer (3-D LCQ). Also in this study, a new system, namely an Ettan MDLC system coupled to a linear ITLTQ, was compared with the previous LCQ platform and gave a greater number of protein identifications, as well as better quality. When we compared the composition of the glycoproteomes for the plasma and serum samples there was a close correlation between the samples, except for the absence of fibrinogen from the identified-protein list in the latter sample, which was presumably as a result of the clotting process. In addition, the analysis of the samples from three ethnic specimens, Caucasian American, Asian American, and African American, were very similar but showed a higher angiotensinogen plasma level and a lower histidine-rich glycoprotein level in Caucasian American samples, and a lower vitronectin level in African American blood samples.

Blood Proteins↗

PubMed2005

A functional annotation of subproteomes in human plasma.

The data collected by Human Proteome Organization's Plasma Proteome Pilot project phase was analyzed by members of our working group. Accordingly, a functional annotation of the human plasma proteome was carried out. Here, we report the findings of our analyses. First, bioinformatic analyses were undertaken to determine the likely sources of plasma proteins and to develop a protein interaction network of proteins identified in this project. Second, annotation of these proteins was performed in the context of functional subproteomes involved in the coagulation pathway, the mononuclear phagocytic system, the inflammation pathway, the cardiovascular system, and the liver; as well as the subset of proteins associated with DNA binding activities. Our analyses contributed to the Plasma Proteome Database (http://www.plasmaproteomedatabase.org), an annotated database of plasma proteins identified by HPPP as well as from other published studies. In addition, we address several methodological considerations including the selective enrichment of post-translationally modified proteins by the use of multi-lectin chromatography as well as the use of peptidomic techniques to characterize the low molecular weight proteins in plasma. Furthermore, we have performed additional analyses of peptide identification data to annotate cleavage of signal peptides, sites of intra-membrane proteolysis and post-translational modifications. The HPPP-organized, multi-laboratory effort, as described herein, resulted in much synergy and was essential to the success of this project.

Blood Coagulation↗

PubMed2005

Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database.

HUPO initiated the Plasma Proteome Project (PPP) in 2002. Its pilot phase has (1) evaluated advantages and limitations of many depletion, fractionation, and MS technology platforms; (2) compared PPP reference specimens of human serum and EDTA, heparin, and citrate-anti-coagulated plasma; and (3) created a publicly-available knowledge base (www.bioinformatics.med.umich.edu/hupo/ppp; www.ebi.ac.uk/pride). Thirty-five participating laboratories in 13 countries submitted datasets. Working groups addressed (a) specimen stability and protein concentrations; (b) protein identifications from 18 MS/MS datasets; (c) independent analyses from raw MS-MS spectra; (d) search engine performance, subproteome analyses, and biological insights; (e) antibody arrays; and (f) direct MS/SELDI analyses. MS-MS datasets had 15 710 different International Protein Index (IPI) protein IDs; our integration algorithm applied to multiple matches of peptide sequences yielded 9504 IPI proteins identified with one or more peptides and 3020 proteins identified with two or more peptides (the Core Dataset). These proteins have been characterized with Gene Ontology, InterPro, Novartis Atlas, OMIM, and immunoassay-based concentration determinations. The database permits examination of many other subsets, such as 1274 proteins identified with three or more peptides. Reverse protein to DNA matching identified proteins for 118 previously unidentified ORFs. We recommend use of plasma instead of serum, with EDTA (or citrate) for anticoagulation. To improve resolution, sensitivity and reproducibility of peptide identifications and protein matches, we recommend combinations of depletion, fractionation, and MS/MS technologies, with explicit criteria for evaluation of spectra, use of search algorithms, and integration of homologous protein matches. This Special Issue of PROTEOMICS presents papers integral to the collaborative analysis plus many reports of supplementary work on various aspects of the PPP workplan. These PPP results on complexity, dynamic range, incomplete sampling, false-positive matches, and integration of diverse datasets for plasma and serum proteins lay a foundation for development and validation of circulating protein biomarkers in health and disease.

Algorithms↗

PubMed2005

Proteome-wide analysis of head and neck squamous cell carcinomas using laser-capture microdissection and tandem mass spectrometry.

Remarkable progress has been made to identify genes expressed in squamous cell carcinomas of the head and neck (HNSCC). However, limited information is available on their corresponding protein products, whose expression, post-translational modifications, and activity are ultimately responsible for the malignant behavior of this tumor type. We have combined laser-capture microdissection (LCM) with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify proteins expressed in histologically normal squamous epithelium and matching SCC. The protein fraction from approximately 10,000-15,000 normal and tumor cells was solubilized, digested with trypsin, and the resulting peptides were analyzed by LC-MS/MS. Database searching of the resulting sequence information identified 30-55 proteins per sample. Keratins were the most abundant proteins in both normal and tumor tissues. Among the proteins differentially expressed, keratin 13 was much lower in tumors, whereas heat-shock (Hsp) family members were highly expressed in neoplastic cells. Wnt-6 and Wnt-14 were identified in both normal and tumor tissues, respectively, and placental growth factor (PIGF) was detected only in tumors. Immunohistochemical analysis of HNSCC tissues revealed lack of keratin 13 in tumor tissues, and strong staining in normal epithelia, and high expression of Hsp90 in tumors. Our study, by combining LCM and proteomic technologies, underscores the advantages of this approach to investigate complex changes at the protein level in HNSCC, thus complementing existing and emerging genomic technologies. These efforts may likely result in the identification of new biomarkers for HNSCC that can be used to diagnose disease, predict susceptibility, and monitor progression in individual patients.

Aged↗

PubMed2004

Approach to the comprehensive analysis of glycoproteins isolated from human serum using a multi-lectin affinity column.

Glycosylation is one the most common post-translational modifications (PTM) and glycoproteins play fundamental roles in a diversity of biological processes. The development of an analytical approach to the study of variation of glycosylation patterns in serum samples has been hindered by the structural heterogeneity of this post-translational modification and the complexity of serum proteome. We have used the ability of different lectins to recognize specific glycosylation motifs to develop a specific affinity system that can achieve a comprehensive capture of serum glycoproteins. In a preliminary investigation, we evaluated the ability of five commonly used immobilized lectins to capture glycoproteins from human serum. SDS-PAGE analysis showed each lectin was able to enrich a subset of the serum glycoproteome and overlaps in lectin specificity were indeed observed. Based on these results and with the goal of studying the extent of the human serum glycoproteome, we then developed a multi-lectin affinity column containing Concanavalin A (Con A), Wheat germ and Jacalin lectin. The selection of lectins was also based on the known N-linked and O-linked glycan structures that are considered representative of the serum proteome. We then demonstrated that the capture of glycoproteins was specific, efficient and reproducible with this multi-lectin column. The results obtained with this affinity step indicated that about 10% of human serum proteins are glycosylated (weight/weight) and, after removal of six high abundance proteins, including albumin, at least 50% of the remaining proteins were glycosylated. We then evaluated the use of this affinity column to monitor changes in the pattern of glycosylation in serum samples by a controlled, stepwise release of the captured proteins from the multi-lectin affinity column with specific displacers.

Chromatography, Affinity↗

PubMed2004

Free flow electrophoresis coupled with liquid chromatography-mass spectrometry for a proteomic study of the human cell line (K562/CR3).

The requirement for prefractionation in proteomic analysis is linked to the challenge of performing such an analysis on complex biological samples and identifying low level components in the presence of numerous abundant housekeeping and structural proteins. The employment of a preliminary fractionation step results in a reduction of complexity in an individual fraction and permits more complete liquid chromatography/mass spectrometry (LC/MS) analysis. Free flow electrophoresis (FFE), a solution-based preparative isoelectric focusing technique, fractionates and enriches protein fractions according to their charge differences and is orthogonal in selectivity to the popular reversed phase high performance liquid chromatography (HPLC) fractionation step. In this paper, we explored the advantages of a combination of FFE and liquid chromatography/mass spectrometry to extend the dynamic range of a proteomic analysis of a complex cell lysate. In this study, the whole cell lysate of a chronic myelogeneous leukemia cell line, K562/CR3, was prefractionated by FFE into 96 fractions spanning pH 3-12. Of these, 35 fractions were digested with trypsin and then analyzed by LC/MS. Depending on the algorithm used for peptide assignment from MS/MS data, at least 319 proteins were identified through database searches. The results also suggested that pI could serve as an additional criterion besides peptide fragmentation pattern for protein identification, although in some cases, a pI shift might indicate post-translational modification. In summary, this study demonstrated that free flow electrophoresis provided a useful prefractionation step for proteomic analysis and when combined with LC/MS allowed the identification of significant number of low level proteins in complex samples.

Chromatography, High Pressure Liquid↗

PubMed2004

A new and sensitive on-line liquid chromatography/mass spectrometric approach for top-down protein analysis: the comprehensive analysis of human growth hormone in an E. coli lysate using a hybrid linear ion trap/Fourier transform ion cyclotron resonance mass spectrometer.

A sensitive, integrated top-down liquid chromatography/mass spectrometry (LC/MS) approach, suitable for the near complete characterization of specific proteins in complex protein mixtures, such as inclusion bodies of an E. coli lysate, has been successfully developed using a hybrid linear ion trap/Fourier transform ion cyclotron resonance (FTICR) mass spectrometer. In particular, human growth hormone (hGH) (200 fmol) was analyzed with high sequence coverage (>95%), including the sites of disulfide linkages. The high mass accuracy and resolution of the FTICR mass spectrometer was used to reveal high charge state ions of hGH (22 kDa). The highly charged intact protein ions (such as the 17+ species) were captured and fragmented in the linear ion trap cell. The fragment ions from MS/MS spectra were then successfully analyzed in the FTICR cell in an on-line LC/MS run. Peptide fragments from the N-terminal and C-terminal regions, as well as large interior fragments, were captured and identified. The results allowed the unambiguous assignment of disulfide bonds Cys53-Cys165 and Cys182-Cys189, indicative of proper folding of hGH. The disulfide bond assignments were also confirmed by analysis of the tryptic digest of a sample of hGH purified from inclusion bodies. On-line LC/MS with the linear ion trap/FTICR yields high mass accuracy in both the MS and MS/MS modes (within 2 ppm with external calibration). The approach should prove useful in biotechnology applications to characterize correctly folded proteins, both in the early protein expression and the later processed stages, using only a single automated on-line LC/MS top-down method.

Amino Acid Sequence↗

PubMed2003

An approach to the proteomic analysis of a breast cancer cell line (SKBR-3).

This report describes the profiling of proteins in a sample prepared by laser capture microdissection (LCM) from a breast cancer cell line (SKBR-3). This experimental approach serves as a model system for proteomic studies on selected tissue samples and for studies of specific cell types. The captured cells were isolated in a dehydrated and reduced state and solubilized with a denaturing buffer. After dilution the protein mixture was digested with trypsin and the resulting peptide mixture was fractionated by reversed phase HPLC (RPLC) and analyzed on an ion trap mass spectrometer. A key part of this study is the combination of the LCM process with an extraction/digestion procedure that allowed effective solubilization of a significant part of the cellular sample in a single step. The identity of the peptides was determined by tandem mass spectrometry measurements in which the resulting spectra were compared with genomic and proteomic databases and protein identifications were made. While only peptides with a high probability assignment were used, the interpretation of mass spectral fragmentation patterns were also confirmed by manual interpretation of the spectra. Also, for the more abundant proteins the initial protein assignment from the best match peptide was strengthened by the observation of additional confirmatory peptide identifications. Another selection criteria was correlation of the mass spectrometric studies with clinical and genomic studies of potential cancer markers in tumor samples. This proteomic study allowed identification of the following proteins: human receptor protein kinase HER-2 or ERBB-2 and related kinases HER-3 and HER-4, the gene products from breast cancer type I and II susceptibility genes and cytoskeletal components such as cytokeratins 8, 18 and 19. Other proteins include fibroblast growth factor receptor variants (FGFR-2&4) and T-lymphoma invasion and metastasis inducing protein 1 (TIAM1). In addition several nonreceptor protein kinases YES, FAK and JAK-1 and 3 were identified. Since the study was performed on a limited number of cells (approximately 10,000) it raises the possibility of such studies being performed on individual patient samples prepared by needle biopsy.

Biomarkers, Tumor↗

PubMed2002

The challenges of developing a sound proteomics strategy.

This paper will review the challenges of developing a proteomics strategy. A key issue is the integration of the two-dimensional (2-D) gel platform with mass spectrometry measurements. The use of both matrix-assisted laser/desorption ionization (on off-line coupling) and electrospray (on-line) ionization are complementary. While the use of one-dimensional and 2-D gels are essential to many aspects of proteomics research (sample preparation, preliminary fractionation and quantitation, storage of protein components), the emergence of shotgun sequencing based on high performance liquid chromatography and tandem mass spectrometry offers a powerful new approach. The latter has particular utility in the characterization of low level samples and complex post-translational modifications. The development of capillary columns, such as 75 to 150 micron, that can be packed in a reproducible manner has been a key step in the development of high sensitivity liquid chromatography/mass spectrometry analysis.

Chromatography↗

PubMed2002

Publishing large proteome datasets: scientific policy meets emerging technologies.

Currently, there are various approaches to proteomic analyses based on either 2D gel or HPLC separation platforms, generating data of different formats, structures and types. Identification of these separated proteins or peptide fragments is typically achieved by mass spectrometry (MS) measurements that use either accurate mass measurements or fragmentation (MS-MS) information. Integrating the information generated from these different platforms is essential if proteomics is to succeed. A further challenge lies in generating standards that can accept the hundreds-of-thousands of mass spectra produced per analysis based on threshold or probability measurements. Finally, peer review and electronic publication processes will be crucial to the dissemination and use of proteomic information. Merging the policy requirements of data-intensive research with information technology will enable scientists to gain real value from global proteomics information.

Chromatography, Liquid↗

PubMedDate not supplied

Proteomic profiling of Escherichia coli proteins under high cell density fed-batch cultivation with overexpression of phosphogluconolactonase.

In this study, we used proteomics to better understand the growth on glucose of Escherichia coli in high cell density, fed-batch cultures and the response to overexpression of plasmid-encoded 6-phosphogluconolactonase (PGL). Using liquid chromatography coupled to electrospray mass spectrometry, at least 300 proteins were identified in the cytosolic fraction of the six time points used to monitor the fermentation. The relative abundance changes of selected proteins were obtained by comparing the peak area of the corresponding peptides at a particular m/z (mass over charge ratio) value. During the time course of samples collected during the rapid growth achieved under batch and fed-batch conditions, both the control and recombinant E. coli strains showed up-regulation of proteins participating in the tricarboxylic acid (TCA) cycle, particularly acetyl-CoA synthetase (AcCoAS), malate dehydrogenase (MDH), and succinyl-CoA synthetase (SuccCoAS). In the recombinant strain culture, fumarase was up-regulated until 35 h after inoculation but was not in the control strain culture. In addition, the proteomic measurement detected up-regulation of three well-characterized binding transport proteins in both control and recombinant strains. The up-regulation of TCA cycle enzymes is consistent with the increase in growth rate observed in the cell culture. In addition, up-regulation of these proteins demonstrated the importance of both the pentose-phosphate shunt and TCA cycle to the increased biosynthetic activity required by a high level protein synthesis. This study shows the potential of proteomics using shotgun sequencing (LC/MS of tryptic digests) to measure global changes in protein abundance during a fermentation process and will facilitate the development of robust manufacturing systems.

Bioreactors↗

PubMedDate not supplied

Monitoring of glycoprotein products in cell culture lysates using lectin affinity chromatography and capillary HPLC coupled to electrospray linear ion trap-Fourier transform mass spectrometry (LTQ/FTMS).

In this paper, we describe the combination of lectin chromatography with capillary LC coupled to a linear ion trap-Fourier transform mass spectrometer (LTQ/FTMS) to enrich and characterize overexpressed glycoproteins from a cell culture lysate. A well-characterized glycoprotein, recombinant tissue plasminogen activator (rt-PA), was used as a standard, and we demonstrated that the three N-linked glycopeptides (including glycan structures) present in a tryptic digest of the rt-PA standard could be characterized in the new hybrid MS platform. A feature of this approach is that a significant amount of information can be obtained about the carbohydrate structures by direct analysis of the tryptic digest without the need for additional time-consuming sample preparation protocols. A combination of lectins was then studied for improved recovery of captured glycopeptides and was related to the selectivity of different lectins for specific glycosylation motifs. This approach was then extended to the lysate of a cell line routinely used in biotechnology manufacture (Chinese hamster ovary, CHO). This study showed that the combinations of lectins could enrich glycoproteins significantly from a CHO cell lysate. We also demonstrated that with this level of enrichment and with the new hybrid mass spectrometer, we could study the structures of N-linked glycopeptides of rt-PA present in a crude CHO cell lysate, at a ratio of 1:200 (rtPA:total cell lysate protein, w/w) by accurate mass measurement in the FTMS and tandem MSn in the linear ion trap. The generic and high throughput nature of the lectin approach combined with the ability to directly analyze the glycan structures in the tryptic digest suggest that this platform has the potential to routinely monitor glycoprotein products at early stage manufacturing in the biotech industry.

Animals↗