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Biomedical subjects

Heidi Zhang

Publications and source records attributed to Heidi Zhang.

6 recordsLinked to original sources

Computational Proteomics Analysis System (CPAS): an extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments.

The open-source Computational Proteomics Analysis System (CPAS) contains an entire data analysis and management pipeline for Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) proteomics, including experiment annotation, protein database searching and sequence management, and mining LC-MS/MS peptide and protein identifications. CPAS architecture and features, such as a general experiment annotation component, installation software, and data security management, make it useful for collaborative projects across geographical locations and for proteomics laboratories without substantial computational support.

Computational Biology↗

Quality control metrics for LC-MS feature detection tools demonstrated on Saccharomyces cerevisiae proteomic profiles.

Quantitative proteomic profiling using liquid chromatography-mass spectrometry is emerging as an important tool for biomarker discovery, prompting development of algorithms for high-throughput peptide feature detection in complex samples. However, neither annotated standard data sets nor quality control metrics currently exist for assessing the validity of feature detection algorithms. We propose a quality control metric, Mass Deviance, for assessing the accuracy of feature detection tools. Because the Mass Deviance metric is derived from the natural distribution of peptide masses, it is machine- and proteome-independent and enables assessment of feature detection tools in the absence of completely annotated data sets. We validate the use of Mass Deviance with a second, independent metric that is based on isotopic distributions, demonstrating that we can use Mass Deviance to identify aberrant features with high accuracy. We then demonstrate the use of independent metrics in tandem as a robust way to evaluate the performance of peptide feature detection algorithms. This work is done on complex LC-MS profiles of Saccharomyces cerevisiae which present a significant challenge to peptide feature detection algorithms.

Algorithms↗

Normalization regarding non-random missing values in high-throughput mass spectrometry data.

We propose a two-step normalization procedure for high-throughput mass spectrometry (MS) data, which is a necessary step in biomarker clustering or classification. First, a global normalization step is used to remove sources of systematic variation between MS profiles due to, for instance, varying amounts of sample degradation over time. A probability model is then used to investigate the intensity-dependent missing events and provides possible substitutions for the missing values. We illustrate the performance of the method with a LC-MS data set of synthetic protein mixtures.

Chromatography, Liquid↗

Signal maps for mass spectrometry-based comparative proteomics.

Mass spectrometry-based proteomic experiments, in combination with liquid chromatography-based separation, can be used to compare complex biological samples across multiple conditions. These comparisons are usually performed on the level of protein lists generated from individual experiments. Unfortunately given the current technologies, these lists typically cover only a small fraction of the total protein content, making global comparisons extremely limited. Recently approaches have been suggested that are built on the comparison of computationally built feature lists instead of protein identifications. Although these approaches promise to capture a bigger spectrum of the proteins present in a complex mixture, their success is strongly dependent on the correctness of the identified features and the aligned retention times of these features across multiple experiments. In this experimental-computational study, we went one step further and performed the comparisons directly on the signal level. First signal maps were constructed that associate the experimental signals across multiple experiments. Then a feature detection algorithm used this integrated information to identify those features that are discriminating or common across multiple experiments. At the core of our approach is a score function that faithfully recognizes mass spectra from similar peptide mixtures and an algorithm that produces an optimal alignment (time warping) of the liquid chromatography experiments on the basis of raw MS signal, making minimal assumptions on the underlying data. We provide experimental evidence that suggests uniqueness and correctness of the resulting signal maps even on low accuracy mass spectrometers. These maps can be used for a variety of proteomic analyses. Here we illustrate the use of signal maps for the discovery of diagnostic biomarkers. An imple-mentation of our algorithm is available on our Web server.

Algorithms↗

A novel mutation in the RDS/Peripherin gene causes adult-onset foveomacular dystrophy.

PURPOSE: To describe a novel mutation in the RDS/Peripherin gene that results in a moderately severe form of adult-onset foveomacular dystrophy. DESIGN: Observational case series. METHODS: Selected members of a family with adult-onset foveomacular dystrophy underwent complete ophthalmic evaluation, including fundus photography and fluorescein angiography, in a tertiary care referral center. The study population consisted of 12 members of a Caucasian kindred. After providing informed consent, patients donated blood for genomic DNA extraction and mutational screening using standard techniques. The main outcome measure were the presence of a RDS/Peripherin gene mutation in a patient with the disease and its absence in unaffected family members and controls. RESULTS: Eight affected family members and no unaffected family members demonstrated a single guanine base deletion at nucleotide 112 that led to premature termination at amino acid 38 of RDS/Peripherin polypeptide. This frameshift mutation results in truncation of nearly 90% of the gene product, thus probably representing a null allele. That results in a relatively severe phenotype, with choroidal neovascularization developing in two patients and geographic atrophy involving the macula in three patients. CONCLUSIONS: We describe a frameshift null mutation in the RDS/Peripherin gene associated with a relatively severe manifestation of adult-onset foveomacular dystrophy in affected family members.

Adult↗

Hydrogen/deuterium exchange and mass spectrometric analysis of a protein containing multiple disulfide bonds: Solution structure of recombinant macrophage colony stimulating factor-beta (rhM-CSFbeta).

Studies with the homodimeric recombinant human macrophage colony-stimulating factor beta (rhM-CSFbeta), show for the first time that a large number (9) of disulfide linkages can be reduced after amide hydrogen/deuterium (H/D) exchange, and the protein digested and analyzed successfully for the isotopic composition by electrospray mass spectrometry. Analysis of amide H/D after exchange-in shows that in solution the conserved four-helix bundle of (rhM-CSFbeta) has fast and moderately fast exchangeable sections of amide hydrogens in the alphaA helix, and mostly slow exchanging sections of amide hydrogens in the alphaB, alphaC, and alphaD helices. Most of the amide hydrogens in the loop between the beta1 and beta4 sheets exhibited fast or moderately fast exchange, whereas in the amino acid 63-67 loop, located at the interface of the two subunits, the exchange was slow. Solvent accessibility as measured by H/D exchange showed a better correlation with the average depth of amide residues calculated from reported X-ray crystallographic data for rhM-CSFalpha than with the average B-factor. The rates of H/D exchange in rhM-CSFbeta appear to correlate well with the exposed surface calculated for each amino acid residue in the crystal structure except for the alphaD helix. Fast hydrogen isotope exchange throughout the segment amino acids 150-221 present in rhM-CSFbeta, but not rhM-CSFalpha, provides evidence that the carboxy-terminal region is unstructured. It is, therefore, proposed that the anomalous behavior of the alphaD helix is due to interaction of the carboxy-terminal tail with this helical segment.

Amino Acid Sequence↗