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Biomedical subjects

Leila H Choe

Publications and source records attributed to Leila H Choe.

10 recordsLinked to original sources

Cerebrospinal fluid proteomic biomarkers for Alzheimer's disease.

OBJECTIVE: To find a panel of proteins in antemortem cerebrospinal fluid (CSF) that could be used to differentiate between samples from Alzheimer's disease (AD) patients and samples from healthy and neurological control subjects. METHODS: For a test cohort, antemortem CSF proteins from 34 AD and 34 non-AD patients were separated using two-dimensional gel electrophoresis. The resulting protein patterns were analyzed using the random forest multivariate statistical method. Protein spots of interest were identified using tandem time-of-flight mass spectrometry. A validation cohort consisting of CSF from 18 AD patients and 10 non-AD subjects was analyzed in a similar way. RESULTS: Using the test cohort, a panel of 23 spots was identified that could be used to differentiate AD and non-AD gels with a sensitivity of 94%, a specificity of 94%, and a predicted classification error rate of only 5.9%. These proteins are related to the transport of beta-amyloid, the inflammatory response, proteolytic inhibition, and neuronal membrane proteins. The 23 spots separately classified the validation cohort with 90% sensitivity (probable AD subjects), 83% specificity, and a predicted classification error rate of 14% in a blinded analysis. The total observed sensitivity is 93%, the total observed specificity is 90%, and the predicted classification error rate is 8.3%. INTERPRETATION: A panel of possible CSF biomarkers for AD has been identified using proteomic methods.

Alzheimer Disease↗

Shotgun proteomics using the iTRAQ isobaric tags.

Shotgun proteomic methods involving isobaric tagging of peptides enable high-throughput proteomic analysis. iTRAQ reagents allow simultaneous identification and quantitation of proteins in four different samples using tandem mass spectrometry (MS). In this article, we provide a brief description of proteome analysis using iTRAQ reagents and review the current applications of these reagents in proteomic studies. We also compare different aspects of protein identification including protein sequence coverage and proteome coverage obtained using iTRAQ reagents with those using other shotgun proteomic techniques. We briefly discuss the issue of isotope purity correction in measured peak areas during protein quantitation using iTRAQ reagents. Finally, we conclude with some of the current challenges in MS-based proteomic analysis that are limiting protein identifications obtained by different shotgun proteomic methods.

Animals↗

Two-dimensional protein electrophoresis: from molecular pathway discovery to biomarker discovery in neurological disorders.

Two-dimensional protein electrophoresis (2-DE) has undergone many technical improvements in the past 30 years, resulting in an analytical method that is unparalleled in the resolution of complex protein mixtures and capable of quantifying changes in protein expression from a wide variety of tissues and samples. The technique has been applied in many studies of neurologic disease to identify changes in spot patterns that correlate with disease. The true power of the technique emerges when it is coupled to state-of-the-art methods in mass spectrometry, which enable identification of the protein or proteins contained within a spot of interest on a 2-DE map. Investigators have successfully applied the technique to gain improved understanding of neurologic disease mechanisms in humans and in animal models and to discover biomarkers that are useful in the clinical setting. An important extension to these efforts that has not been realized thus far is the desire to profile changes in protein expression that result from therapy to help relate disease-modifying effects at the molecular level with clinical outcomes. Here we review the major advances in 2-DE methods and discuss specific examples of its application in the study of neurologic diseases.

Animals↗

A comparison of the consistency of proteome quantitation using two-dimensional electrophoresis and shotgun isobaric tagging in Escherichia coli cells.

An important consideration in the measurement of quantitative changes in protein expression is the consistency of the observations for a given technique as well as the reproducibility of the experiment. A quantitative assessment of the technical and biological variability is crucial to avoid erroneous inferences and conclusions. Two methods for measuring quantitative changes in protein expression are two-dimensional electrophoresis (2-DE) and shotgun proteomics of isobaric-tagged samples using iTRAQ reagents. An assessment of changes in Escherichia coli protein expression in response to rhsA induction demonstrates that half of the quantified protein expression ratios have a coefficent of variation (CV) less than 0.31 using 2-DE and less than 0.24 using isobaric tags; whereas 95% of the quantified protein expression ratios have a CV less than 0.81 using 2-DE and less than 0.53 using isobaric tags. The selective removal of outlier data points from the shotgun method using Grubb's and Rosner's statistical outlier tests improves the consistency of the quantitation data obtained.

Chromatography, Liquid↗

Quantitative analysis of protein expression using amine-specific isobaric tags in Escherichia coli cells expressing rhsA elements.

We describe the use of amine-specific isobaric tags for protein expression quantification to study the effect of rhsA element over-expression in Escherichia coli. The use of an isobaric tagging strategy facilitates a shotgun approach to proteomic analysis and enables quantitation of up to four samples in parallel, based on the reporter ion series using tandem mass spectrometry (MS/MS). Using a liquid chromatography matrix-assisted laser desorption/ionization approach, 23,139 MS/MS spectra were collected. Five thousand sixty-three peptides derived from 780 proteins were quantified including several lower abundance proteins, such as transcription factors, DnaB and DnaG. More than 65% of the proteins had at least two high confidence peptide matches per protein (p<0.05). Further, a statistical test based on the Grubb's and Rosner's tests was able to discriminate outlier data. The removal of outlier data had no significant effect on the functional categories of proteins that were represented in the study.

Amines↗

A two-dimensional electrophoresis map of Chinese hamster ovary cell proteins based on fluorescence staining.

We report on the development of a detailed two-dimensional electrophoresis map of Chinese hamster ovary (CHO) cell proteins based on fluorescence staining and tandem time-of-flight (TOF/TOF)-mass spectrometry. We observed a 71% success rate in the identification of proteins even though the CHO genome is not sequenced. The map consists of 224 protein identifications present in 274 two-dimensional gel electrophoresis (2-DE) gel spots. We have also initiated a study of the phosphoproteome using a commercially available phosphoprotein-specific fluorescent stain. Using this stain, we observe 672 phosphorylated proteins, including many proteins known to be phosphorylated, which is 36% of the proteins we visualized with a total protein stain and consistent with expectations.

Animals↗

Insights into the relation between mrna and protein expression patterns: II. Experimental observations in Escherichia coli.

There is a need for improved appreciation of the importance of genome-wide mRNA and protein expression measurements and their role in understanding translation and in relation to genome-wide mathematical frameworks for gene expression regulation. We investigated the use of a high-density microarray technique for mRNA expression analysis and a two-dimensional protein electrophoresis-tandem mass spectrometry method for protein analysis to monitor changes in gene expression. We applied these analytical tools in the context of an environmental perturbation of Escherichia coli cells-the addition of varying amounts of IPTG. We also tested the application of these tools to the study of a genetic perturbation of Escherichia coli cells-the ability of certain strains to hypersecrete the hemolysin protein. We observed a lack of correspondence between mRNA and protein expression profiles. Although our data do not include measurements on all expressed genes (because the ability to measure protein expression profiles is limiting), we observed that the qualitative and quantitative behavior of the measurements of a subset of expressed genes is similar to the behavior of the entire system. The change in observed average mRNA and protein amplification factors for 77 and 52 genes coincided with the observed change in mRNA amplification factor for the entire system. Furthermore, we found that the use of relative changes in expression could be used to elucidate mechanisms of gene expression regulation for the system studied, even when measurements were made on a small subset of the system.

Adaptation, Physiological↗

Quantitative and qualitative measure of intralaboratory two-dimensional protein gel reproducibility and the effects of sample preparation, sample load, and image analysis.

We investigate one approach to assess the quantitative variability in two-dimensional gel electrophoresis (2-DE) separations based on gel-to-gel variability, sample preparation variability, sample load differences, and the effect of automation on image analysis. We observe that 95% of spots present in three out of four replicate gels exhibit less than a 0.52 coefficient of variation (CV) in fluorescent stain intensity (% volume) for a single sample run on multiple gels. When four parallel sample preparations are performed, this value increases to 0.57. We do not observe any significant change in quantitative value for an increase or decrease in sample load of 30% when using appropriate image analysis variables. Increasing use of automation, while necessary in modern 2-DE experiments, does change the observed level of quantitative and qualitative variability among replicate gels. The number of spots that change qualitatively for a single sample run in parallel varies from a CV = 0.03 for fully manual analysis to CV = 0.20 for a fully automated analysis. We present a systematic method by which a single laboratory can measure gel-to-gel variability using only three gel runs.

Automation↗

Apolipoprotein E and other cerebrospinal fluid proteins differentiate ante mortem variant Creutzfeldt-Jakob disease from ante mortem sporadic Creutzfeldt-Jakob disease.

The ability to perform an ante mortem differential diagnosis of Creutzfeld-Jakob disease (CJD) is aided by several clinical and molecular tests. There is a need for molecular tests which can reliably distinguish ante mortem variant CJD (vCJD) from ante mortem sporadic CJD (spCJD). A proteomics approach employing two-dimensional protein electrophoresis is applied to the study of ante mortem CSF samples obtained in collaboration with the CJD Surveillance Unit and the National Hospital for Neurology and Neurosurgery. The sample set includes two cases of vCJD, three cases of spCJD and three neurologic controls. Preliminary data using a panel of seven molecular markers is able to distinguish vCJD from spCJD using a heuristic clustering algorithm. One of the molecular markers has been identified as apolipoprotein E which appears to be upregulated in the cerebrospiral fluid (CSF) of patients with vCJD as compared to spCJD. Analysis of ante mortem CSF may help to differentiate patients with vCJD from those patients with spCJD.

Adult↗

Studies of potential cerebrospinal fluid molecular markers for Alzheimer's disease.

There is a need for a reliable, molecular-based ante mortem diagnostic test for Alzheimer's disease (AD). In this study, we examined the use of two-dimensional protein electrophoresis for generating molecular barcodes which may be useful for the clinical differentiation of AD patients from normals. We compared cerebrospinal fluid samples taken from AD patients with confirmed post mortem pathology to comparable specimens from normal volunteers. Using canonical correlation analysis, a panel of nine molecular markers were identified which segregated diseased cases from normal controls. Using the scaled volume image analysis variable, a principal factor analysis was also used to distinguish normal from AD spinal fluid, based on molecular markers identified using a heuristic clustering algorithm. The use of panels of molecular markers derived from proteomic analysis may offer the best prospect for developing molecular diagnostic tests for complex neurodegenerative disorders such as AD.

Adult↗