Brian Haab

Protein microarrays for highly parallel detection and quantitation of specific proteins and antibodies in complex solutions.

Gene expression profiling of clear cell renal cell carcinoma: gene identification and prognostic classification.

CIT: identification of differentially expressed clusters of genes from microarray data.

Identifying cancer-related genes in nasopharyngeal carcinoma cell lines using DNA and mRNA expression profiling analyses.

Antibody microarray profiling of human prostate cancer sera: antibody screening and identification of potential biomarkers.

Methods and applications of antibody microarrays in cancer research.

Microarrays of tumor cell derived proteins uncover a distinct pattern of prostate cancer serum immunoreactivity.

Multiplexed protein analysis using spotted antibody microarrays.

Two-color, rolling-circle amplification on antibody microarrays for sensitive, multiplexed serum-protein measurements.

Antibody arrays in cancer research.

Optimized normalization for antibody microarrays and application to serum-protein profiling.

Immunoassay and antibody microarray analysis of the HUPO Plasma Proteome Project reference specimens: systematic variation between sample types and calibration of mass spectrometry data.

Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database.

Distinctive serum protein profiles involving abundant proteins in lung cancer patients based upon antibody microarray analysis.

Multiplexed protein analysis using antibody microarrays and label-based detection.

Antibody microarray profiling reveals individual and combined serum proteins associated with pancreatic cancer.

Profiling bladder cancer using targeted antibody arrays.

RCA-enhanced protein detection arrays.

Applications of antibody array platforms.

A reagent resource to identify proteins and peptides of interest for the cancer community: a workshop report.

Antibody array profiling reveals serum TSP-1 as a marker to distinguish benign from malignant prostatic disease.

Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays.

A hierarchical approach employing metabolic and gene expression profiles to identify the pathways that confer cytotoxicity in HepG2 cells.

Comprehensive proteome analysis of an Apc mouse model uncovers proteins associated with intestinal tumorigenesis.

Low-volume, high-throughput sandwich immunoassays for profiling plasma proteins in mice: identification of early-stage systemic inflammation in a mouse model of intestinal cancer.

The prevalence and nature of glycan alterations on specific proteins in pancreatic cancer patients revealed using antibody-lectin sandwich arrays.

Analysis of glycans on serum proteins using antibody microarrays.

Microarrays in glycoproteomics research.

Mucin glycosylation is altered by pro-inflammatory signaling in pancreatic-cancer cells.

The development of an integrated platform to identify breast cancer glycoproteome changes in human serum.

A motif-based analysis of glycan array data to determine the specificities of glycan-binding proteins.

Antibody-array interaction mapping, a new method to detect protein complexes applied to the discovery and study of serum amyloid P interactions with kininogen in human plasma.

Antibody-lectin sandwich arrays for biomarker and glycobiology studies.

Glycosylation variants of mucins and CEACAMs as candidate biomarkers for the diagnosis of pancreatic cystic neoplasms.

Glycogene expression alterations associated with pancreatic cancer epithelial-mesenchymal transition in complementary model systems.

An experimental strategy for quantitative analysis of the humoral immune response to prostate cancer antigens using natural protein microarrays.

Identification of blood-protein carriers of the CA 19-9 antigen and characterization of prevalence in pancreatic diseases.

The fine specificity of mannose-binding and galactose-binding lectins revealed using outlier motif analysis of glycan array data.

High-throughput studies of protein glycoforms using antibody-lectin sandwich arrays.

Comparison of surgical and endoscopic sample collection for pancreatic cyst fluid biomarker identification.

Diverse monoclonal antibodies against the CA 19-9 antigen show variation in binding specificity with consequences for clinical interpretation.

Using lectins in biomarker research: addressing the limitations of sensitivity and availability.

Modulation of glycan detection on specific glycoproteins by lectin multimerization.

Specific glycoforms of MUC5AC and endorepellin accurately distinguish mucinous from nonmucinous pancreatic cysts.

Determining lectin specificity from glycan array data using motif segregation and GlycoSearch software.

Prediction of glycan motifs using quantitative analysis of multi-lectin binding: Motifs on MUC1 produced by cultured pancreatic cancer cells.

Characterization of glycoproteins in pancreatic cyst fluid using a high-performance multiple lectin affinity chromatography platform.

Using antibody arrays to measure protein abundance and glycosylation: considerations for optimal performance.

Array-based immunoassays with rolling-circle amplification detection.

Mesenchymal-like pancreatic cancer cells harbor specific genomic alterations more frequently than their epithelial-like counterparts.

MALDI imaging mass spectrometry profiling of N-glycans in formalin-fixed paraffin embedded clinical tissue blocks and tissue microarrays.

Detection of distinct glycosylation patterns on human γ-glutamyl transpeptidase 1 using antibody-lectin sandwich array (ALSA) technology.

The detection and discovery of glycan motifs in biological samples using lectins and antibodies: new methods and opportunities.

Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A.

Exploring the specificities of glycan-binding proteins using glycan array data and the GlycoSearch software.

Upregulation of glycans containing 3' fucose in a subset of pancreatic cancers uncovered using fusion-tagged lectins.

Segment and fit thresholding: a new method for image analysis applied to microarray and immunofluorescence data.

Definitive Characterization of CA 19-9 in Resectable Pancreatic Cancer Using a Reference Set of Serum and Plasma Specimens.

Multiplexed autoantigen microarrays identify HLA as a key driver of anti-desmoglein and -non-desmoglein reactivities in pemphigus.

Glycans related to the CA19-9 antigen are elevated in distinct subsets of pancreatic cancers and improve diagnostic accuracy over CA19-9.

Characterizing Protein Glycosylation through On-Chip Glycan Modification and Probing.

A Gastric Glycoform of MUC5AC Is a Biomarker of Mucinous Cysts of the Pancreas.

The CA19-9 and Sialyl-TRA Antigens Define Separate Subpopulations of Pancreatic Cancer Cells.

Mining High-Complexity Motifs in Glycans: A New Language To Uncover the Fine Specificities of Lectins and Glycosidases.

Deciphering protein glycosylation by computational integration of on-chip profiling, glycan-array data, and mass spectrometry.