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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
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
Software – Segment and Fit Thresholding (SFT). This program is for the automated detection and quantification of signals in image data
SlideImprinter for the partitioning of microscope slides, available from the Gel Company
Featured Publications
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
Our latest paper just published in Scientific Reports! Read it here:
The CA19-9 and Sialyl-TRA Antigens Define Separate Subpopulations of Pancreatic Cancer Cells
nature.com
Molecular markers to detect subtypes of cancer cells could facilitate more effective treatment. We recently identified a carbohydrate antigen, named sTRA, that is as accurate a serological biomarker of pancreatic cancer as the cancer antigen CA19-9. We hypothesized that the cancer cells producing sT...
New work from the lab!
Pancreatic cancer expert Dr. Brian Haab gives us an update on where pancreatic cancer research is headed, and discusses what the Haab Laboratory at VARI is currently working on. Learn more by clicking below.
ResearchGate
Dr. Haab is on ResearchGate! Learn more here.