Cancer Immunodiagnostics

Haab Laboratory
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.

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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

Pancreatic Cancer Biomarkers

Methods for Detecting Protein Glycosylation

Microscope Slide Partitioner

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

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Klamer ZL, Harris CM, Beirne JM, Kelly JE, Zhang J, Haab BB. 2022. CarboGrove: a resource of glycan-binding specificities through analyzed glycan-array datasets from all platformsGlycobio

Klamer Z, Haab BB. 2021. Combined analysis of multiple glycan-array datasets: New explorations of protein-glycan interactionsAnalyt Chem 93(31):10925–10933.

Staal B*, Liu Y*, Barnett D*, et al. The sTRA plasma biomarker: Blinded validation of improved accuracy over CA19-9 in pancreatic cancer diagnosis. Clin Cancer Res.

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 alSegment 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


Dr. Haab is on ResearchGate! Learn more here.