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Segment and fit thresholding:
Cancer Immunodiagnostics
The Haab Laboratory works to enable more accurate detection and diagnosis of pancreatic cancer and to identify key factors in cancer progression and dissemination. Our approaches make heavy use of understanding the nature and functions of changes to carbohydrates in pancreatic cancer.
News
Technologies and software
Software – MotifFinder. This software enables the automated analysis of glycan array data.
Software – SignalFinder-Microarray (SignalFinderMA). This software enables the automated analysis of microarray images.
Pancreatic Cancer Biomarkers and Diagnostic Methods
Methods for Detecting Protein Glycosylation
Software – Marker State Space (MSS). This program is for the development of biomarker panels
SlideImprinter for the partitioning of microscope slides, available from the Gel Company
Featured Publications
Klamer Z et al. Mining high-complexity motifs in glycans: A new language to uncover the fine specificities of lectins and glycosidases. Anal Chem.
Barnett D et al. The CA19-9 and Sialyl-TRA antigens define separate subpopulations of pancreatic cancer cells. Sci Rep.
Ensink E et al. Segment and fit thresholding: A new method for image analysis applied to microarray and immunofluorescence data Anal Chem
Tang H et al. Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A. Mol Cell Proteomics
Cao Z et al. Specific glycoforms of MUC5AC and endorepellin accurately distinguish mucinous from nonmucinous pancreatic cysts. Mol Cell Proteomics
Porter A et al. A motif-based analysis of glycan array data to determine the specificities of glycan-binding proteins. Glycobiology
Yue T et al. Enhanced discrimination of malignant from benign pancreatic disease by measuring the CA 19-9 antigen on specific protein carriers. Yue T, Maupin KA, Fallon B, Li L, Partyka K, Anderson MA, Brenner DE, Kaul K, Zeh H, Moser AJ, Simeone DM, Feng Z, Brand RE, Haab BB. PLoS One
Chen S et al. Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays. Chen S, LaRoche T, Hamelinck D, Bergsma D, Brenner D, Simeone D, Brand RE, Haab BB. Nat Methods
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ResearchGate
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