Bioinformatics Commons^™

A Framework For The Statistical Analysis Of Mass Spectrometry Imaging Experiments, Kyle Bemis

Open Access Dissertations

Mass spectrometry (MS) imaging is a powerful investigation technique for a wide range of biological applications such as molecular histology of tissue, whole body sections, and bacterial films , and biomedical applications such as cancer diagnosis. MS imaging visualizes the spatial distribution of molecular ions in a sample by repeatedly collecting mass spectra across its surface, resulting in complex, high-dimensional imaging datasets. Two of the primary goals of statistical analysis of MS imaging experiments are classification (for supervised experiments), i.e. assigning pixels to pre-defined classes based on their spectral profiles, and segmentation (for unsupervised experiments), i.e. assigning pixels to newly …

Biophysical Studies Of The Allosteric Regulatory Mechanism Of Syk Tandem Sh2 Domains Interacting With Immunoreceptor Tyrosine-Based Activation Motifs, Chao Feng

Open Access Dissertations

The non-receptor spleen tyrosine kinase (Syk) is an important player in signal transduction from immunoreceptors to various downstream targets. It is widely expressed in both haematopoietic and epithelial cells. Syk disorder is closely related with many inflammatory and autoimmune diseases, as well as cancers.

Syk associates with immunoreceptors through its tandem SH2 domains (tSH2), which contain two SH2 domains connected by interdomain A. The association of Syk with immunoreceptors is regulated by Y130 phosphorylation in interdomain A. The unphosphorylated tSH2 can bind with the doubly phosphorylated immunoreceptor tyrosine-based activation motif (dp-ITAM) of the cytoplasmic domains of immunoreceptors with very high …

Estimation Of Variation For High-Throughput Molecular Biological Experiments With Small Sample Size, Danni Yu

Open Access Dissertations

Motivation: In the quantification of molecular components, a large variation can affect and even potentially mislead the biological conclusions. Meanwhile, the high-throughput experiments often involve a small number of samples due to the limitation of cost and time. In such cases, the stochastic information may dominate the outcome of an experiment because there may not be enough samples to present the true biological information. It is challenging to distinguish the changes in phenotype from the stochastic variation.

Methods: Since the biological molecules have been quantified with different technologies, different statistical methods are required. Focusing on three types of important high-throughput …

Development Of Tyrosine Kinase Peptide Biosensors And Methods For Detection, Andrew Michael Lipchik

Open Access Dissertations

New methods to monitor tyrosine kinase activity are critical for studying kinases in cell biology, drug discovery and the clinic. Peptide-based biosensors for detection of kinase activity utilitize a kinase specific artificial peptide substrate, which can report intercellular kinase activity through the incorporation of phosphate.

An artificial Syk substrate peptide was developed and incorporated with other functional modules to produce a Syk biosensor. These modules included a biotin-tag for affinity capture, a photo-cleavable amino acid to allow release of the substrate from the delivery module and the cell penetrating peptides TAT. A live cell kinase assay utilizing this biosensor was …