Search Results - "Claassen, Manfred"
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1
Sensitive detection of rare disease-associated cell subsets via representation learning
Published in Nature communications (06-04-2017)“…Rare cell populations play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulations…”
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2
Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Published in Scientific reports (13-08-2018)“…The Gleason grading system remains the most powerful prognostic predictor for patients with prostate cancer since the 1960s. Its application requires…”
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3
Exhausted CD8+ T cells exhibit low and strongly inhibited TCR signaling during chronic LCMV infection
Published in Nature communications (08-09-2020)“…Chronic viral infections are often associated with impaired CD8 + T cell function, referred to as exhaustion. Although the molecular and cellular circuits…”
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Nontargeted Metabolomics Reveals the Multilevel Response to Antibiotic Perturbations
Published in Cell reports (Cambridge) (09-05-2017)“…Microbes have shown a remarkable ability in evading the killing actions of antimicrobial agents, such that treatment of bacterial infections represents once…”
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5
Cell-wide analysis of protein thermal unfolding reveals determinants of thermostability
Published in Science (American Association for the Advancement of Science) (24-02-2017)“…Temperature-induced cell death is thought to be due to protein denaturation, but the determinants of thermal sensitivity of proteomes remain largely…”
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Estimation of Absolute Protein Quantities of Unlabeled Samples by Selected Reaction Monitoring Mass Spectrometry
Published in Molecular & cellular proteomics (01-03-2012)“…For many research questions in modern molecular and systems biology, information about absolute protein quantities is imperative. This information includes,…”
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7
The quantitative proteome of a human cell line
Published in Molecular systems biology (08-11-2011)“…The generation of mathematical models of biological processes, the simulation of these processes under different conditions, and the comparison and integration…”
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8
Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations on single cell data
Published in PLoS computational biology (30-06-2021)“…Clustering high-dimensional data, such as images or biological measurements, is a long-standing problem and has been studied extensively. Recently, Deep…”
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Latent representation learning in biology and translational medicine
Published in Patterns (New York, N.Y.) (12-03-2021)“…Current data generation capabilities in the life sciences render scientists in an apparently contradicting situation. While it is possible to simultaneously…”
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Sparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time Series
Published in PLoS computational biology (01-12-2016)“…Stochastic chemical reaction networks constitute a model class to quantitatively describe dynamics and cell-to-cell variability in biological systems. The…”
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11
Deterministic scRNA-seq captures variation in intestinal crypt and organoid composition
Published in Nature methods (01-03-2022)“…Single-cell RNA sequencing (scRNA-seq) approaches have transformed our ability to resolve cellular properties across systems, but are currently tailored toward…”
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12
TGF-β induces oncofetal fibronectin that, in turn, modulates TGF-β superfamily signaling in endothelial cells
Published in Journal of cell science (01-01-2018)“…Gene splicing profiles are frequently altered in cancer, and the splice variants of fibronectin (FN) that contain the extra-domains A (EDA) or B (EDB),…”
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13
Computational and experimental single cell biology techniques for the definition of cell type heterogeneity, interplay and intracellular dynamics
Published in Current opinion in biotechnology (01-08-2015)“…Graphical abstract…”
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14
Author Correction: Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Published in Scientific reports (23-11-2021)Get full text
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15
Directed mass spectrometry: towards hypothesis-driven proteomics
Published in Current opinion in chemical biology (01-12-2009)“…To date, the vast majority of the proteomic data sets collected by mass spectrometry (MS) have been generated by nondirected methods, whereby the identified…”
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16
Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry
Published in Molecular & cellular proteomics (01-11-2009)“…Comprehensive characterization of a proteome is a fundamental goal in proteomics. To achieve saturation coverage of a proteome or specific subproteome via…”
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17
Landscape of Exhausted Virus-Specific CD8 T Cells in Chronic LCMV Infection
Published in Cell reports (Cambridge) (25-08-2020)“…A hallmark of chronic infections is the presence of exhausted CD8 T cells, characterized by a distinct transcriptional program compared with functional…”
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18
Positive feedback induces switch between distributive and processive phosphorylation of Hog1
Published in Nature communications (29-04-2023)“…Cellular decision making often builds on ultrasensitive MAPK pathways. The phosphorylation mechanism of MAP kinase has so far been described as either…”
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The Mtb Proteome Library: A Resource of Assays to Quantify the Complete Proteome of Mycobacterium tuberculosis
Published in Cell host & microbe (15-05-2013)“…Research advancing our understanding of Mycobacterium tuberculosis (Mtb) biology and complex host-Mtb interactions requires consistent and precise quantitative…”
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Dynamic distribution decomposition for single-cell snapshot time series identifies subpopulations and trajectories during iPSC reprogramming
Published in PLoS computational biology (01-01-2020)“…Recent high-dimensional single-cell technologies such as mass cytometry are enabling time series experiments to monitor the temporal evolution of cell state…”
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