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William S Hancock

Publications and source records attributed to William S Hancock.

17 recordsLinked to original sources
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 priorities.

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Forecasting↗
PubMedDate not supplied

Targeted proteomics of low-level proteins in human plasma by LC/MSn: using human growth hormone as a model system.

This paper describes the profiling of human growth hormone (hGH) in human plasma in order to assess the dynamic range of the ion-trap mass spectrometer for proteomic studies of complex biological samples. Human growth hormone is an example of a low-level plasma protein in vivo, present at subfemtomole levels. This study was performed on a plasma sample in which hGH has been spiked at 10-fold above the natural level, that is approximately 16 pg/microL of plasma. Initially, the measurement was carried out without any sample enrichment and consisted of the following steps: the full set of plasma proteins were reduced, alkylated, and digested with trypsin, and the resulting peptides were separated on a capillary C-18 column and then detected by ion-trap mass spectrometry (1D LC/MS). In addition, this study provided a global view of the serum proteome with over 200 plasma proteins being preliminarily identified. In the MS/MS analysis, hGH was detected by characterization of the first tryptic peptide (T1). The initial identification was confirmed by alternative approaches, which also allowed the evaluation of different sample purification protocols. First, the plasma sample containing hGH was fractionated on a reversed-phase HPLC column and digested, and hGH could now be identified by MS/MS measurements of two tryptic peptides (T1 and T4) by the same 1D LC/MS protocol. In addition, the assignment of peptide identity was made with higher certainty (as measured by an algorithm score). The plasma sample was also fractionated by 1D and 2D gel electrophoresis, the selected bands were digested and analyzed again by the 1D LC/MS protocol. In both cases using the gel prepurifications, hGH was identified with additional peptides. Finally, the plasma sample was analyzed by 2D chromatography (ion exchange and reversed phase) on a new instrumental platform (ProteomeX), and hGH was identified by the observation of five tryptic peptides. In conclusion, these experiments were able to detect growth hormone in the low femtomole level with a dynamic range of 1 in 40 000 by several independent approaches. The amount of growth hormone, while 10-fold above normal in vivo levels, represents concentrations that may be present in disease states (such as acromegaly) and also in doping control measurements. These studies have demonstrated that shotgun sequencing approaches (LC/MS/MS) not only can profile high-abundance proteins in complex biological fluids but also have the potential to identify and quantitate low-level proteins present in such complex mixtures without extensive prepurification protocols. A key to such studies, however, is to use targeted approaches that reduce the complexity of the solute mixture that is presented to the mass spectrometer at a given time point. The various sample preparation protocols described here all improved the quality of the hGH measurement, although in this study the 2D chromatographic approach gave the greatest sequence coverage.

Calibration↗
PubMedDate not supplied

Multiple enzymatic digestion for enhanced sequence coverage of proteins in complex proteomic mixtures using capillary LC with ion trap MS/MS.

This study uses multiple enzyme digests to increase the sequence coverage of proteins identified by the shotgun sequencing approach to proteomic analysis. The enzymes used were trypsin, Lys-C, and Asp-N, which cleave at arginine and lysine residues, lysine, and aspartic acid residues, respectively. This approach was evaluated with the glycoprotein, tissue plasminogen activator, t-PA and gave enhanced sequence coverage, compared with a single enzymatic digest. The approach was then evaluated with a complex proteomic sample, namely plasma. It was found that trypsin and Lys-C were able to detect overlapping but distinct sets of proteins and a digital recombination of the data gave a significant increase in both the number of protein identifications as well as an increase in the number of peptides identified per protein (which improves the certainty of the assignment).

Amino Acid Sequence↗
PubMedDate not supplied

How good are we?

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Binding Sites↗
PubMedDate not supplied

Evaluation of shotgun sequencing for proteomic analysis of human plasma using HPLC coupled with either ion trap or Fourier transform mass spectrometry.

This paper reports on studies directed to the characterization of the proteome of human plasma by the shotgun sequencing approach, namely the use of HPLC coupled to mass spectrometry (MS). The report will present data from two laboratories that allows the comparison of peptide and protein identifications by either accurate mass measurement on a Fourier transform mass spectrometry or MS/MS fragmentation on an ion trap mass spectrometer. Because the dynamic range of the protein components of plasma is one of the largest for a biological sample, the analysis of such a challenging sample was aided by the use of these two MS approaches. The major classes of proteins observed were transport proteins, enzymes, and enzyme inhibitors, blood-clotting factors, membrane-associated proteins including soluble forms of receptors, hormones, immunoglobulins, and other glycoproteins. The protein identifications were also highly consistent with results obtained from 2D gel studies, although a larger number of additional proteins were observed with the shotgun sequencing approach. The quantitation of low to medium level proteins was explored in the ion trap with an add-back of a known amount of human growth hormone (hGH) at a clinically relevant level (5 ug/L). The isotope coded affinity tag (ICAT) approach was used to quantitate successfully different levels of hGH in replicate analysis via the disulfide linked tryptic peptide (T6-T16). These studies suggest that the shotgun sequencing approach can be used to characterize part of the plasma proteome and serve as a starting point for the use of multidimensional analytical approaches for the analysis of complex biological samples.

Algorithms↗
PubMedDate not supplied

Proteomic analysis of ductal carcinoma of the breast using laser capture microdissection, LC-MS, and 16O/18O isotopic labeling.

The goal of this study was the development of a method for quantitative expression proteomics on the limited sample amounts obtained through laser capture microdissection (LCM) of tissues, e.g., approximately 10 000 cells, which typically contain roughly 1-4 microg protein. The 16O/18O labeling method was selected as an approach to measure differential expression. A sample preparation protocol including lysis, digestion and 16O/18O labeling was first developed for LCM cell samples. The selected protocol was examined using two LCM caps of 10 000 cells from invasive ductal carcinoma of the breast and shown to be repeatable. A further test of LC-IT-MS/MS in combination with the 16O/18O post-digestion labeling method for studying low level samples was conducted first on a single protein (BSA) and then on a 5-standard protein mixture digest of different protein amounts, each with a total content approximately 1 microg. Next, protein expression was compared between 10 000 cells, each of microdissected normal ductal epithelium and metastatic ductal carcinoma, using the developed method. The proteins from the microdissected cells were extracted, precipitated, digested with trypsin and then 16O/18O labeled. The normal and metastatic cell samples were analyzed using reversed phase LC-ESI-MS/MS on the ion trap mass spectrometer. A total of 76 proteins were identified. Some, such as mitochondrial isocitrate dehydrogenase, actin and 14-3-3 protein xi/delta were found to be significantly up-regulated in the breast tumor cells.

Amino Acid Sequence↗