Christer Wingren

Lund University | LU · Department of Immunotechnology

Early and correct diagnosis of inflammatory rheumatic diseases (IRD) poses a clinical challenge due to the multifaceted nature of symptoms, which also may change over time. The aim of this study was to perform protein expression profiling of four systemic IRDs, systemic lupus erythematosus (SLE), ANCA-associated systemic vasculitis (SV), rheumatoid...

The composition of serum proteins is reflecting the current health status and can, with the right tools, be used to detect early signs of disease, such as an emerging cancer. An earlier diagnosis of cancer would greatly increase the chance of an improved outcome for the patients. However, there is still an unmet need for proficient tools to deciphe...

Purpose: Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis, with a 5-year survival of < 10% because of diffuse symptoms leading to late-stage diagnosis. That survival could increase significantly if localized tumors could be detected early. Therefore, we used multiparametric analysis of blood samples to obtain a novel biomarker signatur...

Histological grade is one of the most commonly used prognostic factors for patients diagnosed with breast cancer. However, conventional grading has proven technically challenging, and up to 60% of the tumors are classified as histological grade 2, which represents a heterogeneous cohort less informative for clinical decision making. In an attempt t...

Raw antibody microarray data. The observed array signal intensity for each antibody is listed per sample. (XLSX)

Recombinant antibody libraries can provide a source of renewable and high-performing binders tailored for use in affinity proteomics. In this context, the process of generating site-specific 1:1 tagging/functionalization and/or orientated surface immobilization of antibodies has, however, proved to be challenging. Hence, novel ways of generating su...

Diffuse large B-cell lymphoma (DLBCL) is the most common type of aggressive lymphoma. The disease is heterogeneous with respect to the clinical course and molecular findings, making the management of these patients challenging. Deepened understanding of DLBCL pathogenesis has opened novel possibilities for early patient prognostication, but a furth...

Antibody-based proteomic approaches play an important role in high-throughput, multiplexed protein expression profiling in health and disease. These antibody-based technologies will provide (miniaturized) set-ups capable of the simultaneously profiling of numerous proteins in a specific, sensitive, and rapid manner, targeting high- as well as low-a...

Systemic lupus erythematosus (SLE) is a severe chronic inflammatory autoimmune connective tissue disease. Despite major efforts, SLE remains a poorly understood disease with unpredictable course, unknown etiology and complex pathogenesis. Apoptosis combined with deficiency in clearing apoptotic cells is an important etiopathogenic event in SLE, whi...

Antibody-based proteomics offers distinct advantages in the analysis of complex samples for discovery and validation of biomarkers associated with disease. However, its large-scale implementation requires tools and technologies that allow development of suitable antibody or antibody fragments in a high-throughput manner. To address this we designed...

In the quest for deciphering disease-associated biomarkers, high-performing tools for multiplexed protein expression profiling of crude clinical samples will be crucial. Affinity proteomics, mainly represented by antibody-based microarrays, have during recent years been established as a proteomic tool providing unique opportunities for parallelized...

Evaluation of different normalization procedures. MeanSdPlots were used as qualitative measures in order to compare the log intensity distribution of samples output with respect to log2 transformed data, Local LOESS, Local VSN, Global LOESS, Global VSN and Quantile normalizations. (EPS)

Schematic outline of how methods for defining a condensed biomarker signature were evaluated. The data set, composed of two groups–healthy (H) and disease (D)—was randomly divided in two three subsets. Condensed biomarker signatures of a fixed length (N = 25) of the top-ranked biomarkers were defined using each of the feature selection methods (p-v...

Evaluation of different normalization procedures. Density plots were used as qualitative measures in order to compare the log intensity distribution of samples output with respect to log2 transformed data, Local LOESS, Local VSN, Global LOESS, Global VSN and Quantile normalizations. (EPS)

Evaluation of different normalization procedures. Boxplots were used as qualitative measures in order to compare the log intensity distribution of samples output with respect to log2 transformed data, Local LOESS, Local VSN, Global LOESS, Global VSN and Quantile normalizations. (EPS)

Antigens targeted on the antibody microarray. The specificity, affinity (normally in the nM range), and on-chip functionality of all of these phage display derived scFv antibodies were ensured by using i) stringent phage-display selection and screening protocols (using different sample formats, ranging from pure proteins and mixtures of pure protei...

Evaluation of different normalization processes. To this end, microarray data for diseased group 3 vs. group 1 samples was used and compared with respect to No. of down-regulated scFvs antibodies and No. of complete matches per target molecule, using a fold change (FC) filter of FC > 1. (DOCX)

Top 50 differentially expressed proteins (represented by their matching antibody clone) for diseased vs healthy controls, before and after normalization. (DOCX)

Effect of the Combat plus semi-global normalization on the sample variability. The sample cohort included QCref samples as well as diseased and healthy samples. i) QCref samples analyzed on two days. ii) Diseased vs. healthy samples analyzed on different days (mapped for day). iii) Diseased vs. healthy samples analyzed on different days (mapped for...

Pancreatic ductal adenocarcinoma (PDAC) is a disease where detection preceding clinical symptoms significantly increases the life expectancy of patients. In this study, a recombinant antibody microarray platform was used to analyze 213 Chinese plasma samples from PDAC patients and normal control (NC) individuals. The cohort was stratified according...

Antibody microarrays have emerged as an important tool within proteomics, enabling multiplexed protein expression profiling in both health and disease. The design and performance of antibody microarrays and how they are processed are dependent on several factors, of which the interplay between the antibodies and the solid surfaces plays a central r...

Increasing the understanding of a proteome and how its protein composition is affected by for example different diseases, such as cancer, has the potential to improve strategies for early diagnosis and therapeutics. The Global Proteome Survey or GPS is a method that combines mass spectrometry and affinity enrichment with the use of antibodies. The...

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease with rapid tumor progression and poor prognosis. This study was motivated by the lack of sensitive and specific PDAC biomarkers and aimed to identify a diagnostic, serum protein signature for PDAC. Methods. To mimic a real life test situation, a multicenter trial comprising a serum sa...

Supplementary Figure 1: Slide and microarray lay-out. Supplementary Figure 2: Data visualized by principal component analysis. Supplementary Figure 3: Biomarker assessment by database queries for diseases by biomarkers. Supplementary Table 1: Antigens targeted on the antibody microarray. Supplementary Table 2: Context-independent motif specific ant...

Immobilizing biomolecules with retained functionality and stability on solid supports is crucial for generation of sensitive immunoassays. However, upon use of conventional immobilization strategies, a major portion of the biomolecules (e.g. antibodies) frequently tends to lose their bioactivity. In this study, we describe a procedure to immobilize...

Antibody-based microarray is a recently established proteomic technology, providing unique opportunities for multiplexed protein expression profiling of crude, non-fractionated samples in a specific, sensitive and miniaturised manner. A microarray can be printed with a few up to several thousands of different antibodies carrying the desired specifi...

Background We introduce the combination of digital holographic microscopy (DHM) and antibody microarrays as a powerful tool to measure morphological changes in specifically antibody-captured cells. The aim of the study was to develop DHM for analysis of cell death of etoposide-treated suspension cells. Results/methodology We demonstrate that the c...

Polymeric β-cyclodextrin (βCD) films tunable with respect to thickness and βCD content were prepared in order to develop a suitable platform, allowing for inclusion of non-polar guest molecules in the βCD cavity, while suppressing non-specific protein adsorption. The βCD films were synthesized from linear βCD dextran polymers, and grafted onto sili...

Background Despite recent advances in molecular profiling of diffuse large B-cell lymphoma (DLBCL), only a few biomarkers currently have an impact on treatment. In a previous study we could observe the heterogeneity of DLBCL in the plasma immunoprofile from DLBCL patients, by use of recombinant antibody microarrays. By unsupervised hierarchical clu...

Purpose: Early detection of prostate cancer (PC) using prostate-specific antigen (PSA) in blood reduces PC-death among unscreened men. However, due to modest specificity of PSA at commonly used cut-offs, there are urgent needs for additional biomarkers contributing enhanced risk classification among men with modestly elevated PSA. Experimental de...

Targeted measurements of low abundance proteins in complex mixtures are in high demanded in many areas, not the least in clinical applications measuring biomarkers. We here present the novel platform AFFIRM (AFFInity sRM) that utilizes the power of antibody fragments (scFv) to efficiently enrich for target proteins from a complex background and the...

The ability to design and tailor-make antibodies to meet the biophysical demands required by the vast range of current and future antibody-based applications within biotechnology and biomedicine will be essential. In this proof-of-concept study, we have for the first time tailored human recombinant scFv antibodies for site-specific photocoupling th...

Miniaturized (Ø 10 μm), multiplexed (>5-plex), and high-density (>100 000 spots cm(-2)) antibody arrays will play a key role in generating protein expression profiles in health and disease. However, producing such antibody arrays is challenging, and it is the type and range of available spotters which set the stage. This pilot study explored the us...

Background: Antibody-based microarrays are a developing tool for high-throughput proteomics in health and disease. However, in order to enable global proteome profiling, novel miniaturized high-density antibody array formats must be developed. Results: In this proof-of-concept study, we have designed a miniaturized planar recombinant (single-cha...

In the quest to decipher disease-associated biomarkers, miniaturized and multiplexed antibody arrays may play a central role in generating protein expression profiles, or protein maps, of crude serum samples. In this conceptual study, we explored a novel, 4-times larger pen design, enabling us to, in a unique manner, simultaneously print 48 differe...

B-cell lymphoma (BCL) heterogeneity represents a key issue, often making the classification and clinical management of these patients challenging. In this pilot study, we outlined the first resolved view of BCL disease heterogeneity on the protein level by deciphering disease-associated plasma biomarkers, specific for chronic lymphocytic leukemia,...

Affinity proteomics, represented by antibody arrays, is a multiplex technology for high-throughput protein expression profiling of crude proteomes in a highly specific, sensitive, and miniaturized manner. The antibodies are individually deposited in an ordered pattern, an array, onto a solid support. Next, the sample is added, and any specifically...

Systemic lupus erythematosus (SLE) is a severe autoimmune connective tissue disease. Our current knowledge about the serum proteome, or serum biomarker panels, reflecting disease and disease status is still very limited. Affinity proteomics, represented by recombinant antibody arrays, is a novel, multiplex technology for high-throughput protein exp...

Evaluation of: Akada J, Kamei S, Ito A et al. A new type of protein chip to detect hepatocellular carcinoma-related autoimmune antibodies in the sera of hepatitis C virus-positive patients. Proteome Sci. 11(1), 33 (2013). Unlocking the proteome and delivering biomarkers to the clinic will be critical for early and improved diagnosis and prognosis....

Proteomics, the large-scale analysis of proteins, is a rapidly evolving field with an increasing number of key clinical applications, such as diagnosis, prognosis, and classification. In order to generate complete protein expression profiles, or protein atlases, any crude sample format must be addressable in a rapid, multiplex, and sensitive manner...

The immobilization of functional biomolecules to surfaces is a critical process for the development of biosensors for disease diagnostics. In this work we report the patterned attachment of single chain fragment variable (scFv) antibodies to the surface of metal oxides by the photodeprotection of self-assembled monolayers, using near-UV light. The...

Tumor progression and prognosis of breast cancer patients is difficult to assess using current clinical and laboratory parameters, where a pathological grading is indicative of tumor aggressiveness. This grading is based on assessment of nuclear grade, tubule formation, and mitotic rate. We report here the first protein signatures associated with h...

Protein-peptide interactions are a common occurrence and essential for numerous cellular processes, and frequently explored in broad applications within biology, medicine, and proteomics. Therefore, understanding the molecular mechanism(s) of protein-peptide recognition, specificity, and binding interactions will be essential. In this study, we rep...

Pancreatitis is an inflammatory state of the pancreas, for which high-performing serological biomarkers are lacking. The aim of the present study was to evaluate the use of affinity proteomics for identifying potential markers of disease and stratifying pancreatitis subtypes. High-content, recombinant antibody microarrays were applied for serum pro...

Urinary proteomics has become a key discipline within clinical proteomics for noninvasive diagnosis and monitoring of disease, and biomarker discovery. In order to decipher complex proteomes, high demands will, however, be placed upon the methodology applied. The purpose of this study was to develop a recombinant antibody microarray platform for ur...

Pancreatic cancer is an aggressive disease with poor prognosis, due, in part, to the lack of disease-specific biomarkers that could afford early and accurate diagnosis. With a recombinant antibody microarray platform, targeting mainly immunoregulatory proteins, we screened sera from 148 patients with pancreatic cancer, chronic pancreatitis, autoimm...

The development of high-performance technology platforms for generating detailed protein expression profiles, or protein atlases, is essential. Recently, we presented a novel platform that we termed global proteome survey, where we combined the best features of affinity proteomics and mass spectrometry, to probe any proteome in a species independen...

Equilibrium fluctuation analysis of single binding events has been used to extract binding kinetics of ligand interactions with cell-membrane bound receptors. Time-dependent total internal reflection fluorescence (TIRF) imaging was used to extract residence-time statistics of fluorescently stained liposomes derived directly from cell membranes upon...

The risk of distant recurrence in breast cancer patients is difficult to assess with current clinical and histopathological parameters, and no validated serum biomarkers currently exist. Using a recently developed recombinant antibody microarray platform containing 135 antibodies against 65 mainly immunoregulatory proteins, we screened 240 sera fro...

Affinity proteomics, mainly represented by antibody microarrays, has in recent years been established as a powerful tool for high-throughput (disease) proteomics. The technology can be used to generate detailed protein expression profiles, or protein maps, of focused set of proteins in crude proteomes and potentially even high-resolution portraits...

Antibody-based microarrays are a rapidly evolving affinity-proteomic methodology that recently has shown great promise in clinical applications. The resolution of these proteomic analyses is, however, directly related to the number of data-points, i.e. antibodies, included on the array. Currently, this is a key bottleneck because of limited availab...

Generating global protein expression profiles, including also membrane proteins, will be crucial for our understanding of biological processes in health and disease. In this study, we have expanded our antibody microarray technology platform and designed the first human recombinant antibody microarray for membrane proteins targeting crude cell lysa...

Pre-eclampsia is a pregnancy complication characterized by hypertension and proteinuria. There are several factors associated with an increased risk of developing pre-eclampsia, one of which is increased uterine artery resistance, referred to as "notching". However, some women do not progress into pre-eclampsia whereas others may have a higher risk...

Supplementary table 1. Gene expression results from the microarray analysis. A matrix showing all genes that were found to be significantly altered. Results are presented as P-value (Fold change). Genes with a p-value<0.005 and FC>1.5 were considered statistically significant. PE=pre-eclampsia, N=bilateral notching without pre-clampsia and PEwN=pre...

Systemic lupus erythematosus (SLE) and systemic sclerosis (SSc) are two severe autoimmune connective tissue diseases. The fundamental knowledge about their etiology is limited and the conditions display complex pathogenesis, multifaceted presentations, and unpredictable courses. Despite significant efforts, the lack of fully validated biomarkers en...

preeclampsia (PE) is a severe, multi-system pregnancy disorder of yet unknown cause, missing means of treatment, and our fundamental understanding of the disease is still impaired. The purpose of this discovery study was to define candidate placenta tissue protein biomarker signatures to further decipher the molecular features of PE. we used recomb...

We wish to alert your readers to MIAPAR, the minimum information about a protein affinity reagent. This is a proposal developed within the community as an important first step in formalizing standards in reporting the production and properties of protein binding reagents, such as antibodies, developed and sold for the identification and detection o...

Glioblastoma multiforme (GBM) is a frequent and aggressive type of primary brain tumor with a heterogeneous origin. GBM is highly therapy resistant and carries a dismal prognosis for the patient. The purpose of this discovery study was to define candidate plasma biomarker signatures for improved classification and novel means for selecting patients...

A method called Dock'n'Flash was developed to offer site-specific capture and direct UVA-induced photocoupling of recombinant proteins. The method involves the tagging of recombinant proteins with photoreactive p-benzoyl-L-phenylalanine (pBpa) by genetic engineering. The photoreactive pBpa tag is used for affinity capture of the recombinant protein...

Deciphering crude proteomes in the quest for candidate biomarker signatures for disease diagnostics, prognostics and classifications has proven to be challenging using conventional proteomic technologies. In this context, affinity protein microarrays, and in particular recombinant antibody microarrays, have recently been established as a promising...

Protein affinity reagents (PARs), most commonly antibodies, are essential reagents for protein characterization in basic research, biotechnology, and diagnostics as well as the fastest growing class of therapeutics. Large numbers of PARs are available commercially; however, their quality is often uncertain. In addition, currently available PARs cov...

Antibody array-based technology is a powerful emerging tool in proteomics, but to enable global proteome analysis, antibody array layouts with even higher density has to be developed. To this end, we have further developed the first generation of a nanoarray platform, based on attoliter-sized vials, attovials, which we have characterized and used f...

Protein affinity reagents (PARs), most commonly antibodies, are essential reagents for protein characterization in basic research, biotechnology, and diagnostics as well as the fastest growing class of therapeutics. Large numbers of PARs are available commercially; however, their quality is often uncertain. In addition, currently available PARs cov...

Antibody-based microarrays is a rapidly evolving technology that has gone from the first proof-of-concept studies to more demanding proteome profiling applications, during the last years. Miniaturized microarrays can be printed with large number of antibodies harbouring predetermined specificities, capable of targeting high- as well as low-abundant...

Antibody-based microarray is a novel proteomic technology setting a new standard for molecular profiling of non-fractionated complex proteomes. The first generation of antibody microarrays has already demonstrated its potential for generating detailed protein expression profiles, or protein atlases, of human body fluids in health and disease, pavin...

Antibody-based microarrays are a new powerful proteomic technology that can be used to generate rapid and detailed expression profiles of defined sets of protein analytes in complex samples as well as high-resolution portraits of entire proteomes. Miniaturized micro- and nanoarrays can be printed with numerous antibodies carrying the desired specif...

Dendritic cells (DCs) are central in allergy as regulators of the Th1/Th2 balance. We have recently demonstrated a unique transcriptional profile of DCs in patients with ongoing allergy compared with healthy subjects and shown that crosstalk between DCs and memory T cells affects the transcriptional profile of T cells. However, the transcriptional...

Molecular patterning processes taking place in biological systems are challenging to study in vivo because of their dynamic behavior, subcellular size, and high degree of complexity. In vitro patterning of biomolecules using nanolithography allows simplification of the processes and detailed study of the dynamic interactions. Parallel dip-pen nanol...

In this study we have elucidated the effects of allergen-specific antibodies on human DCs and T-cells. Monocyte-derived DCs from allergic patients were exposed to Phl p 5 alone or in complex with Phl p 5-specific human IgG1, IgG4 or IgE and further co-cultured with autologous memory CD4(+) T-cells. We demonstrate that DCs treated with Phl p 5/IgE-c...

The driving force behind oncoproteomics is to identify protein signatures that are associated with a particular malignancy. Here, we have used a recombinant scFv antibody microarray in an attempt to classify sera derived from pancreatic adenocarcinoma patients versus healthy subjects. Based on analysis of nonfractionated, directly labeled, whole hu...

Protein microarrays will play a key role in the postgenomic era and offer a unique possibility to perform high-throughput global proteome analysis. A chip can be printed with thousands of protein probes (e.g. antibodies), the biological sample added (e.g. a proteome) and any binding detected. We aim to develop protein microarrays based on human rec...

In analogy to DNA microarrays, protein microarrays offer a new distinct possibility to perform sensitive high-throughput global proteome analysis. However, the development of the protein microarray technology will place high demands upon the design of both probes and solid supports. The analysis of thousands of heterogeneous proteins on a single mi...

In recent years, the antibody microarray technology has made significant progress, going from proof-of-concept designs to established high-performing technology platforms capable of targeting non-fractionated complex proteomes. In these cross-disciplinary efforts, a particular focus has lately been placed on two key technological issues: the sample...