Henrik Lindberg
AstraZeneca
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Featured researches published by Henrik Lindberg.
Molecular & Cellular Proteomics | 2004
Johan Malmström; Henrik Lindberg; Claes Lindberg; Charlotte Bratt; Elisabet Wieslander; Eva-Lena Delander; Bengt Särnstrand; Jorge S Burns; Peter Mose-Larsen; Stephen J. Fey; György Marko-Varga
Transforming growth factor-β1 (TGF-β1) induces α-smooth muscle actin (α-SMA) and collagen synthesis in fibroblast both in vivo and in vitro and plays a significant role in tissue repair and the development of fibrosis. During these processes the fibroblasts differentiate into activated fibroblasts (so called myofibroblasts), characterized by increased α-SMA expression. Because TGF-β1 is considered the main inducer of the myofibroblast phenotype and cytoskeletal changes accompany this differentiation, the main objective of this investigation was to study how TGF-β1 alters protein expression of cytoskeletal-associated proteins. Metabolic labeling of cell cultures by [35S]methionine, followed by protein separation on two-dimensional gel electrophoresis, displayed ∼2500 proteins in the pIinterval of 3–10. Treatment of TGF-β1 led to specific spot pattern changes that were identified by mass spectrometry and represent specific induction of several members of the contractile apparatus such as calgizzarin, cofilin, and profilin. These proteins have not previously been shown to be regulated by TGF-β1, and the functional role of these proteins is to participate in the depolymerization and stabilization of the microfilaments. These results show that TGF-β1 induces not only α-SMA but a whole set of actin-associated proteins that may contribute to the increased contractile properties of the myofibroblast. These proteins accompany the induced expression of α-SMA and may participate in the formation of stress fibers, cell contractility, and cell spreading characterizing the myofibroblasts phenotype.
Journal of Clinical Bioinformatics | 2011
Ákos Végvári; Charlotte Welinder; Henrik Lindberg; Thomas E. Fehniger; György Marko-Varga
The aim of the overview is to give a perspective of global biobank development is given in a view of positioning biobanking as a key resource for healthcare to identify new potential markers that can be used in patient diagnosis and complement the targeted personalized drug treatment. The fast progression of biobanks around the world is becoming an important resource for society where the patient benefit is in the focus, with a high degree of personal integrity and ethical standard. Biobanks are providing patient benefits by large scale screening studies, generating large database repositories. It is envisioned by all participating stakeholders that the biobank initiatives will become the future gateway to discover new frontiers within life science and patient care. There is a great importance of biobank establishment globally, as biobanks has been identified as a key area for development in order to speed up the discovery and development of new drugs and protein biomarker diagnostics. One of the major objectives in Europe is to establish concerted actions, where biobank networks are being developed in order to combine and have the opportunity to share and build new science and understanding from complex disease biology. These networks are currently building bridges to facilitate the establishments of best practice and standardizations.
Journal of Proteomics | 2013
Johan Malm; Thomas E. Fehniger; Pia Danmyr; Ákos Végvári; Charlotte Welinder; Henrik Lindberg; Roger Appelqvist; Karin Sjödin; Elisabet Wieslander; Thomas Laurell; Sophia Hober; Frode S. Berven; David Fenyö; Xiangdong Wang; Per E. Andrén; Goutham Edula; Elisabet Carlsohn; Manuel Fuentes; Carol L. Nilsson; Magnus Dahlbäck; Melinda Rezeli; David Erlinge; György Marko-Varga
UNLABELLED Recommendations and outlines for standardization in biobanking processes are presented by a research team with long-term experience in clinical studies. These processes have important bearing on the use of samples in developing assays. These measurements are useful to document states of health and disease that are beneficial for academic research, commercial healthcare, drug development industry and government regulating agencies. There is a need for increasing awareness within proteomic and genomic communities regarding the basic concepts of collecting, storing and utilizing clinical samples. Quality control and sample suitability for analysis need to be documented and validated to ensure data integrity and establish contexts for interpretation of results. Standardized methods in proteomics and genomics are required to be practiced throughout the community allowing datasets to be comparable and shared for analysis. For example, sample processing of thousands of clinical samples, performed in 384 high-density sample tube systems in a fully automated workflow, preserves sample content and is presented showing validation criteria. Large studies will be accompanied by biological and molecular information with corresponding clinical records from patients and healthy donors. These developments position biobanks of human patient samples as an increasingly recognized major asset in disease research, future drug development and within patient care. BIOLOGICAL SIGNIFICANCE The current manuscript is of major relevance to the proteomic and genomic fields, as it outlines the standardization aspects of biobanking and the requirements that are needed to run future clinical studies that will benefit the patients where OMICS science will play a major role. A global view of the field is given where best practice and conventional acceptances are presented along with ongoing large-scale biobanking projects. The authors represent broadly stakeholders that cover the academic, pharma, biotech and healthcare fields with extensive experience and deliveries. This contribution will be a milestone paper to the proteomic and genomic scientists to present data in the future that will have impact to the life science area. This article is part of a Special Issue entitled: Standardization and Quality Control in Proteomics.
Journal of Proteome Research | 2013
Carol L. Nilsson; Frode S. Berven; Frode Selheim; Huiling Liu; Joseph R. Moskal; Roger A. Kroes; Erik P. Sulman; Charles A. Conrad; Frederick F. Lang; Per E. Andrén; Anna Nilsson; Elisabet Carlsohn; Hans Lilja; Johan Malm; David Fenyö; Devipriya Subramaniyam; Xiangdong Wang; Maria Gonzales-Gonzales; Noelia Dasilva; Paula Díez; Manuel Fuentes; Ákos Végvári; Karin Sjödin; Charlotte Welinder; Thomas Laurell; Thomas E. Fehniger; Henrik Lindberg; Melinda Rezeli; Goutham Edula; Sophia Hober
A first research development progress report of the Chromosome 19 Consortium with members from Sweden, Norway, Spain, United States, China and India, a part of the Chromosome-centric Human Proteome Project (C-HPP) global initiative, is presented ( http://www.c-hpp.org ). From the chromosome 19 peptide-targeted library constituting 6159 peptides, a pilot study was conducted using a subset with 125 isotope-labeled peptides. We applied an annotation strategy with triple quadrupole, ESI-Qtrap, and MALDI mass spectrometry platforms, comparing the quality of data within and in between these instrumental set-ups. LC-MS conditions were outlined by multiplex assay developments, followed by MRM assay developments. SRM was applied to biobank samples, quantifying kallikrein 3 (prostate specific antigen) in plasma from prostate cancer patients. The antibody production has been initiated for more than 1200 genes from the entire chromosome 19, and the progress developments are presented. We developed a dedicated transcript microarray to serve as the mRNA identifier by screening cancer cell lines. NAPPA protein arrays were built to align with the transcript data with the Chromosome 19 NAPPA chip, dedicated to 90 proteins, as the first development delivery. We have introduced an IT-infrastructure utilizing a LIMS system that serves as the key interface for the research teams to share and explore data generated within the project. The cross-site data repository will form the basis for sample processing, including biological samples as well as patient samples from national Biobanks.
Chromatographia | 2001
M. Freney; H. Irth; Henrik Lindberg; U. Alkner; Lennart Greiff; C. G. A. Persson; M. Andersson; Gyoergy Marko-Varga
SummaryFucose (6-deoxygalactose) is a constituent of airway mucous glycoproteins. In this paper we describe a high-throughput method for screening nasal lavage fluid samples and induced sputum samples for fucose. Fucose was released by hydrolysis with 0.5m sulfuric acid at 100°C for 4 h. After pH adjustment remaining proteins were removed by on-line dialysis. Chromatography was performed with two 300 mm×7.8 mm i.d. Bio-Rad Aminex HPX-87H columns arranged in a box-car configuration. Post-column derivatization was performed with benzamidine under alkaline conditions. Fluorescence was monitored at an excitation wavelength of 360 nm, using an optical cut-off filter of 420 nm. The limit of quantitation for fucose was 40 μm (S/N=3) in 300μL nasal lavage medium, with use of a 20-μL injection loop. Relative standard deviation (RSD) values for intra and inter assay data were below 15% and 20%, respectively, at spike levels of 635 μm l-fucose. The method was used to monitor the fucose content of human airway secretions.
Clinical Physiology and Functional Imaging | 2005
Lennart Greiff; Morgan Andersson; William B. Coman; Henrik Lindberg; György Marko-Varga; Ben Wallwork; Carl Persson
Secretion of mucins and exudation of plasma are distinct processes of importance to innate immunity and inflammatory disease. Yet, little is known about their relation in human airways. The objective of the present study was to use the human nasal airway to determine mucinous secretion and plasma exudation in response to common challenge agents and mediators. Ten healthy volunteers were subjected to nasal challenge‐lavage procedures. Thus, the nasal mucosa was exposed to increasing doses of histamine (40 and 400 μg ml−1), methacholine (12·5 and 25 mg) and capsaicin (30 and 300 ng ml−1). Fucose was selected as a global marker of mucinous secretion and α2‐macroglobulin as an index of exudation of bulk plasma. All challenge agents increased the mucosal output of fucose to about the same level (P<0·01–0·05). Once significant secretion had been induced the subsequently increased dose of the challenge agent, in the case of histamine and methacholine, failed to further increase the response. Only histamine increased the mucosal output of α2‐macroglobulin (P<0·01). We conclude that prompt but potentially rapidly depleted mucinous secretion is common to different kinds of airway challenges, whereas inflammatory histamine‐type mediators are required to produce plasma exudation. Along with the acknowledged secretion of mucins, a practically non‐depletable, pluripotent mucosal output of plasma emerges as an important component of the innate immunity of human airways.
Analytical Biochemistry | 2013
Claes Lindberg; Marleen van Geest; Henrik Lindberg; Sven Kjellström
Mucins are of great interest owing to their involvement in physiological and pathological processes in the airways. A method that allows accurate quantification of such proteins in sputum samples may be helpful for research in this field. A liquid chromatographic selected reaction monitoring (SRM) method was developed for the quantification of two mucins, MUC5AC and MUC5B, in induced sputum samples. Sample preparation for the assay included solubilization, reduction, and alkylation prior to tryptic digestion. Solid phase extraction using C18 sorbent was used for sample cleanup prior to the liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. A cysteine-containing peptide was selected for quantification of MUC5AC protein, whereas a non-cysteine peptide was used for the quantification of MUC5B protein. Stable isotope-labeled synthetic peptides were used as internal standards, and linear calibration curves were constructed in the range of 0.3 to 40 pmol/L. Both mucins could be determined with a precision of 6 to 19% and an accuracy of 98 to 114%. The method is transferable to robotics and is suitable to be run in a 96-well format.
Clinical and translational medicine | 2018
Johan Malm; Yutaka Sugihara; Marcell Szasz; Ho Jeong Kwon; Henrik Lindberg; Roger Appelqvist; György Marko-Varga
We present the Cancer Moonshot clinical project located at the European center in Lund. Here, tissue and blood samples have been collected and stored in a large-scale biobank. Multiple clinical centers around the world are participating and tissue and blood samples are sent to the European Cancer Moonshot Lund Center that acts as the clinical hub. Our center has been developed to generate and build large-scale biostorage archives of patient melanoma samples, which is then combined with a histopathological capability to characterize the patient tumours. Such a large-scale clinical sample processing initiative has begun with the aim of creating high-end histopathology indexing with database computational power and including proteogenomic analysis. The biobank at Lund has become an important resource in clinical research worldwide. Following suite, several national health programs are being initiated with the aim of also building large-scale biobank storages with a wealth of high-quality patient samples. In our Cancer Moonshot R&D activities, samples in the biobanks and the data derived from these samples are being used to build an understanding of disease presentation and using this information to move towards ‘Big Data’ proteogenomic and mass spectrometry imaging studies. Additionally, we report here a sample processing workflow that has been adapted to a fully-automated biobank processing strategy for large-scale studies.
Journal of Proteome Research | 2017
Melinda Rezeli; Karin Sjödin; Henrik Lindberg; Olof Gidlöf; Bertil Lindahl; Tomas Jernberg; Jonas Spaak; David Erlinge; György Marko-Varga
A multiple reaction monitoring (MRM) assay was developed for precise quantitation of 87 plasma proteins including the three isoforms of apolipoprotein E (APOE) associated with cardiovascular diseases using nanoscale liquid chromatography separation and stable isotope dilution strategy. The analytical performance of the assay was evaluated and we found an average technical variation of 4.7% in 4-5 orders of magnitude dynamic range (≈0.2 mg/L to 4.5 g/L) from whole plasma digest. Here, we report a complete workflow, including sample processing adapted to 96-well plate format and normalization strategy for large-scale studies. To further investigate the MS-based quantitation the amount of six selected proteins was measured by routinely used clinical chemistry assays as well and the two methods showed excellent correlation with high significance (p-value < 10e-5) for the six proteins, in addition for the cardiovascular predictor factor, APOB: APOA1 ratio (r = 0.969, p-value < 10e-5). Moreover, we utilized the developed assay for screening of biobank samples from patients with myocardial infarction and performed the comparative analysis of patient groups with STEMI (ST- segment elevation myocardial infarction), NSTEMI (non ST- segment elevation myocardial infarction) and type-2 AMI (type-2 myocardial infarction) patients.
Translational Respiratory Medicine; 1, no 14 (2013) | 2013
Johan Malm; Thomas E. Fehniger; Pia Danmyr; Ákos Végvári; Charlotte Welinder; Henrik Lindberg; Paul Upton; Stephanie Carter; Roger Appelqvist; Karin Sjödin; Elisabet Wieslander; Magnus Dahlbäck; Melinda Rezeli; David Erlinge; György Marko-Varga
BackgroundBiobank samples stored in biobanks give researchers and respiratory healthcare institutions access to datasets of analytes valuable for both diagnostic and research practices. The usefulness of these samples in clinical decision-making is highly dependent on their quality and integrity. New procedures that better preserve sample integrity and reduce degradation are being developed to meet the needs of both present and future biobanking. Hereby we present an automatic sample workflow scheme that is designed to handle high numbers of blood samples.MethodsBlood fractions are aliquoted, heat sealed using novel technology, and stored in 384 tube high-density sample arrays.ResultsThe newly developed 384 biobank rack system is especially suited for preserving identical small aliquots. We provide data on robotic processing of clinical samples at −80°C, following initial processing, analysis and shipping between laboratories throughout Europe. Subsequent to unpacking, re-sorting, and storage at these sites, the samples have been returned for analysis. Biomarker analysis of 13 common tests in the clinical chemistry unit of the hospital provides evidence of qualitative and stable logistics using the 384-sample tube system.ConclusionsThis technology development allows rapid access to a given sample in the frozen archive while maintaining individual sample integrity with sample tube confinement and quality management.