Other affiliations: Novozymes, Beijing University of Chemical Technology, Lund University ...read more
Bio: Jens Nielsen is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Saccharomyces cerevisiae & Medicine. The author has an hindex of 149, co-authored 1752 publications receiving 104005 citations. Previous affiliations of Jens Nielsen include Novozymes & Beijing University of Chemical Technology.
Papers published on a yearly basis
TL;DR: In this paper, a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level.
Abstract: Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
TL;DR: A quantitative transcriptomics analysis (RNA-Seq) is used to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues.
Abstract: Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to ∼80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body.
TL;DR: This work uses shotgun sequencing to characterize the faecal metagenome of 145 European women with normal, impaired or diabetic glucose control, and develops a mathematical model based on metagenomic profiles that identified T2D with high accuracy.
Abstract: Recent evidence has suggested that altered gut microbiota are associated with various metabolic diseases including obesity, diabetes and cardiovascular disease. Fredrik Bckhed and colleagues characterized the faecal metagenome of a cohort of European women with normal, impaired or diabetic glucose control and compared these findings to a recently described Chinese cohort. Their analysis reveals differences in the discriminant metagenomic markers for type 2 diabetes between the two cohorts, suggesting that metagenomic predictive tools may have to be specific for age and geographical populations under investigation.
16 Oct 1998
TL;DR: The Essence of Metabolic Engineering, a review of Cellular Metabolism, and Examples of Pathway Manipulations: Metabolic engineering in Practice are reviewed.
Abstract: The Essence of Metabolic Engineering Review of Cellular Metabolism Comprehensive Models for Cellular Reactions Material Balances and Data Consistency Regulation of Metabolic Pathways Examples of Pathway Manipulations: Metabolic Engineering in Practice Metabolic Pathway Synthesis Metabolic Flux Analysis Methods for the Experimental Determination of Metabolic Fluxes by Isotope Labeling Applications of Metabolic Flux Analysis Metabolic Control Analysis Analysis of Structure of Metabolic Networks Flux Analysis of Metabolic Networks Thermodynamics of Cellular Processes Glossary Subject Index
DSM1, Delft University of Technology2, University of Nottingham3, Technical University of Denmark4, Wageningen University and Research Centre5, University of Sheffield6, Utrecht University7, Biomax Informatics AG8, CLC bio9, University of Liverpool10, Ghent University11, University of Manchester12, University of Provence13, University of Groningen14, Pasteur Institute15, University of Amsterdam16, University of Angers17, Leiden University18, Radboud University Nijmegen19, University of Szeged20
TL;DR: The filamentous fungus Aspergillus niger is widely exploited by the fermentation industry for the production of enzymes and organic acids, particularly citric acid, and the sequenced genome revealed a large number of major facilitator superfamily transporters and fungal zinc binuclear cluster transcription factors.
Abstract: The filamentous fungus Aspergillus niger is widely exploited by the fermentation industry for the production of enzymes and organic acids, particularly citric acid. We sequenced the 33.9-megabase genome of A. niger CBS 513.88, the ancestor of currently used enzyme production strains. A high level of synteny was observed with other aspergilli sequenced. Strong function predictions were made for 6,506 of the 14,165 open reading frames identified. A detailed description of the components of the protein secretion pathway was made and striking differences in the hydrolytic enzyme spectra of aspergilli were observed. A reconstructed metabolic network comprising 1,069 unique reactions illustrates the versatile metabolism of A. niger. Noteworthy is the large number of major facilitator superfamily transporters and fungal zinc binuclear cluster transcription factors, and the presence of putative gene clusters for fumonisin and ochratoxin A synthesis.
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …
28 Jul 2005
TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON
TL;DR: Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland), Adriaan A. Voors* (Co-Chair person) (The Netherlands), Stefan D. Anker (Germany), Héctor Bueno (Spain), John G. F. Cleland (UK), Andrew J. S. Coats (UK)