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Hans-Peter Lenhof

Other affiliations: Max Planck Society
Bio: Hans-Peter Lenhof is an academic researcher from Saarland University. The author has contributed to research in topics: Macromolecular docking & Autoantibody. The author has an hindex of 44, co-authored 164 publications receiving 6046 citations. Previous affiliations of Hans-Peter Lenhof include Max Planck Society.


Papers
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Journal ArticleDOI
TL;DR: Evidence is provided that kendomycin mediates its cytotoxic effects, at least in part, through proteasome inhibition, which is consistent with induction of the intrinsic apoptotic pathway.
Abstract: The macrocyclic polyketide kendomycin exhibits antiosteoporotic and antibacterial activity, as well as strong cytotoxicity against multiple human tumor cell lines. Despite the promise of this compound in several therapeutic areas, the cellular target(s) of kendomycin have not been identified to date. We have used a number of approaches, including microscopy, proteomics, and bioinformatics, to investigate the mode of action of kendomycin in mammalian cell cultures. In response to kendomycin treatment, human U-937 tumor cells exhibit depolarization of the mitochondrial membrane, caspase 3 activation, and DNA laddering, consistent with induction of the intrinsic apoptotic pathway. To elucidate possible apoptotic triggers, DIGE and MALDI-TOF were used to identify proteins that are differently regulated in U-937 cells relative to controls. Statistical analysis of the proteomics data by the new web-based application GeneTrail highlighted several significant changes in protein expression, most notably among proteasomal regulatory subunits. Overall, the profile of altered expression closely matches that observed with other tumor cell lines in response to proteasome inhibition. Direct assay in vitro further shows that kendomycin inhibits the chymotrypsin-like activity of the rabbit reticulocyte proteasome, with comparable efficacy to the established inhibitor MG-132. We have also demonstrated that ubiquitinylated proteins accumulate in kendomycin-treated U-937 cells, while vacuolization of the endoplasmic reticulum and mitochondrial swelling are induced in a second cell line derived from kangaroo rat epithelial (PtK(2)) cells, phenotypes classically associated with inhibition of the proteasome. This study therefore provides evidence that kendomycin mediates its cytotoxic effects, at least in part, through proteasome inhibition.

28 citations

Proceedings ArticleDOI
24 Oct 1992
TL;DR: An algorithm is given that computes the k closest pairs in the set S in O(nlogn+k) time, using O(n-k) space, which is optimal and fits in the algebraic decision tree model.
Abstract: Let S be a set of n points in D-dimensional space, where D is a constant, and let k be an integer between 1 and (/sub 2//sup n/) An algorithm is given that computes the k closest pairs in the set S in O(nlogn+k) time, using O(n+k) space. The algorithm fits in the algebraic decision tree model and is, therefore, optimal. >

28 citations

Journal ArticleDOI
TL;DR: Evidence is provided for a blood-born Wilms tumor miRNA signature largely independent of four weeks preoperative chemotherapy treatment, as well as for a mi RNA signature different from healthy controls.
Abstract: Blood-born miRNA signatures have recently been reported for various tumor diseases. Here, we compared the miRNA signature in Wilms tumor patients prior and after preoperative chemotherapy according to SIOP protocol 2001. We did not find a significant difference between miRNA signature of both groups. However both, Wilms tumor patients prior and after chemotherapy showed a miRNA signature different from healthy controls. The signature of Wilms tumor patients prior to chemotherapy showed an accuracy of 97.5% and of patients after chemotherapy an accuracy of 97.0%, each as compared to healthy controls. Our results provide evidence for a blood-born Wilms tumor miRNA signature largely independent of four weeks preoperative chemotherapy treatment.

28 citations

Journal ArticleDOI
14 May 2008-PLOS ONE
TL;DR: In vivo evidence for an increased antibody response against tumor antigens under radiation is provided, which can serve as ideal targets for immunotherapy of human tumors.
Abstract: Background Surgery and radiation are the mainstays of therapy for human gliomas that are the most common primary brain tumors. Most recently, cell culture and animal studies provided the first convincing evidence that radiation not only eliminates tumor cells, but also modulates the immune response and likely improves anti-tumor immunotherapy. Methology/Pricipal Findings We present an in vivo study that analyzes the effects of radiation on the immune response in tumor patients. As readout system, we utilized the reactivity of glioma patients' sera against antigen GLEA2 as the most frequent antigen immunogenic in glioblastoma patients. We established an ELISA assay to analyze reactivity of 24 glioblastoma patients over a period of several months. As control we used 30 sera from healthy donors as well as 30 sera from lung cancer patients. We compared the course of GLEA2 seroreactivity at different times prior, during and after radiation. The GLEA2 seroreactivity was increased by the time of surgery, decreased after surgery, increased again under radiation, and slightly decreased after radiation. Conclusions/Significance Our results provide in vivo evidence for an increased antibody response against tumor antigens under radiation. Antigens that become immunogenic with an increased antibody response as result of radiation can serve as ideal targets for immunotherapy of human tumors.

27 citations

Journal ArticleDOI
TL;DR: The efficiency of HiTmIR is demonstrated and evidence for an orchestrated miRNA-gene targeting is provided and the novel webtool miRTaH facilitates guided designs of reporter assay constructs at scale is provided.
Abstract: MicroRNAs are regulators of gene expression. A wide-spread, yet not validated, assumption is that the targetome of miRNAs is non-randomly distributed across the transcriptome and that targets share functional pathways. We developed a computational and experimental strategy termed high-throughput miRNA interaction reporter assay (HiTmIR) to facilitate the validation of target pathways. First, targets and target pathways are predicted and prioritized by computational means to increase the specificity and positive predictive value. Second, the novel webtool miRTaH facilitates guided designs of reporter assay constructs at scale. Third, automated and standardized reporter assays are performed. We evaluated HiTmIR using miR-34a-5p, for which TNF- and TGFB-signaling, and Parkinson's Disease (PD)-related categories were identified and repeated the pipeline for miR-7-5p. HiTmIR validated 58.9% of the target genes for miR-34a-5p and 46.7% for miR-7-5p. We confirmed the targeting by measuring the endogenous protein levels of targets in a neuronal cell model. The standardized positive and negative targets are collected in the new miRATBase database, representing a resource for training, or benchmarking new target predictors. Applied to 88 target predictors with different confidence scores, TargetScan 7.2 and miRanda outperformed other tools. Our experiments demonstrate the efficiency of HiTmIR and provide evidence for an orchestrated miRNA-gene targeting.

27 citations


Cited by
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Journal ArticleDOI
TL;DR: The survey will help tool designers/developers and experienced end users understand the underlying algorithms and pertinent details of particular tool categories/tools, enabling them to make the best choices for their particular research interests.
Abstract: Functional analysis of large gene lists, derived in most cases from emerging high-throughput genomic, proteomic and bioinformatics scanning approaches, is still a challenging and daunting task. The gene-annotation enrichment analysis is a promising high-throughput strategy that increases the likelihood for investigators to identify biological processes most pertinent to their study. Approximately 68 bioinformatics enrichment tools that are currently available in the community are collected in this survey. Tools are uniquely categorized into three major classes, according to their underlying enrichment algorithms. The comprehensive collections, unique tool classifications and associated questions/issues will provide a more comprehensive and up-to-date view regarding the advantages, pitfalls and recent trends in a simpler tool-class level rather than by a tool-by-tool approach. Thus, the survey will help tool designers/developers and experienced end users understand the underlying algorithms and pertinent details of particular tool categories/tools, enabling them to make the best choices for their particular research interests.

13,102 citations

Journal ArticleDOI
TL;DR: These revisions simplify the McDonald Criteria, preserve their diagnostic sensitivity and specificity, address their applicability across populations, and may allow earlier diagnosis and more uniform and widespread use.
Abstract: New evidence and consensus has led to further revision of the McDonald Criteria for diagnosis of multiple sclerosis. The use of imaging for demonstration of dissemination of central nervous system lesions in space and time has been simplified, and in some circumstances dissemination in space and time can be established by a single scan. These revisions simplify the Criteria, preserve their diagnostic sensitivity and specificity, address their applicability across populations, and may allow earlier diagnosis and more uniform and widespread use.

8,883 citations

Journal ArticleDOI
TL;DR: A new method for multiple sequence alignment that provides a dramatic improvement in accuracy with a modest sacrifice in speed as compared to the most commonly used alternatives but avoids the most serious pitfalls caused by the greedy nature of this algorithm.

6,727 citations

Journal ArticleDOI
TL;DR: A biologist-oriented portal that provides a gene list annotation, enrichment and interactome resource and enables integrated analysis of multi-OMICs datasets, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.
Abstract: A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era

6,282 citations

Journal ArticleDOI
TL;DR: A significant update to one of the tools in this domain called Enrichr, a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries is presented.
Abstract: Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and download. In total, Enrichr currently contains 180 184 annotated gene sets from 102 gene set libraries. New features have been added to Enrichr including the ability to submit fuzzy sets, upload BED files, improved application programming interface and visualization of the results as clustergrams. Overall, Enrichr is a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries. Enrichr is freely available at: http://amp.pharm.mssm.edu/Enrichr.

6,201 citations