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  1. Article: Wohnen im Alter : Wohngruppe statt Altenheim

    Lippmann, Christa

    Blätter der Wohlfahrtspflege

    2018  Volume 165, Issue 4, Page(s) 131

    Keywords Alter. ; Wohnen ; Wohnform ; Frau ; Nachbarschaftshilfe
    Language German
    Document type Article
    ZDB-ID 2668702-1
    ISSN 0340-8574
    ISSN 0340-8574
    Database bibnet.org

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  2. Article ; Online: Computational functional genomics-based reduction of disease-related gene sets to their key components

    Lippmann, C. / Ultsch, A. / Lötsch, J.

    2019  

    Abstract: S.2362-2370 ... Motivation The genetic architecture of diseases becomes increasingly known. This raises difficulties in picking suitable targets for further research among an increasing number of candidates. Although expression based methods of gene set ... ...

    Abstract S.2362-2370

    Motivation The genetic architecture of diseases becomes increasingly known. This raises difficulties in picking suitable targets for further research among an increasing number of candidates. Although expression based methods of gene set reduction are applied to laboratory-derived genetic data, the analysis of topical sets of genes gathered from knowledge bases requires a modified approach as no quantitative information about gene expression is available. Results We propose a computational functional genomics-based approach at reducing sets of genes to the most relevant items based on the importance of the gene within the polyhierarchy of biological processes characterizing the disease. Knowledge bases about the biological roles of genes can provide a valid description of traits or diseases represented as a directed acyclic graph (DAG) picturing the polyhierarchy of disease relevant biological processes. The proposed method uses a gene importance score derived from the location of the gene-related biological processes in the DAG. It attempts to recreate the DAG and thereby, the roles of the original gene set, with the least number of genes in descending order of importance. This obtained precision and recall of over 70% to recreate the components of the DAG charactering the biological functions of n=540 genes relevant to pain with a subset of only the k=29 best-scoring genes. Conclusions A new method for reduction of gene sets is shown that is able to reproduce the biological processes in which the full gene set is involved by over 70%⁠; however, by using only ∼5% of the original genes.

    35

    Nr.14
    Keywords 540 ; 570 ; 571 ; 572
    Subject code 612
    Language English
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: A machine-learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes.

    Kringel, D / Lippmann, C / Parnham, M J / Kalso, E / Ultsch, A / Lötsch, J

    European journal of pain (London, England)

    2018  Volume 22, Issue 10, Page(s) 1735–1756

    Abstract: Background: Human genetic research has implicated functional variants of more than one hundred genes in the modulation of persisting pain. Artificial intelligence and machine-learning techniques may combine this knowledge with results of genetic ... ...

    Abstract Background: Human genetic research has implicated functional variants of more than one hundred genes in the modulation of persisting pain. Artificial intelligence and machine-learning techniques may combine this knowledge with results of genetic research gathered in any context, which permits the identification of the key biological processes involved in chronic sensitization to pain.
    Methods: Based on published evidence, a set of 110 genes carrying variants reported to be associated with modulation of the clinical phenotype of persisting pain in eight different clinical settings was submitted to unsupervised machine-learning aimed at functional clustering. Subsequently, a mathematically supported subset of genes, comprising those most consistently involved in persisting pain, was analysed by means of computational functional genomics in the Gene Ontology knowledgebase.
    Results: Clustering of genes with evidence for a modulation of persisting pain elucidated a functionally heterogeneous set. The situation cleared when the focus was narrowed to a genetic modulation consistently observed throughout several clinical settings. On this basis, two groups of biological processes, the immune system and nitric oxide signalling, emerged as major players in sensitization to persisting pain, which is biologically highly plausible and in agreement with other lines of pain research.
    Conclusions: The present computational functional genomics-based approach provided a computational systems-biology perspective on chronic sensitization to pain. Human genetic control of persisting pain points to the immune system as a source of potential future targets for drugs directed against persisting pain. Contemporary machine-learned methods provide innovative approaches to knowledge discovery from previous evidence.
    Significance: We show that knowledge discovery in genetic databases and contemporary machine-learned techniques can identify relevant biological processes involved in Persitent pain.
    MeSH term(s) Cluster Analysis ; Humans ; Machine Learning ; Neuroimmunomodulation/physiology ; Pain/etiology ; Phenotype ; Polymorphism, Genetic/physiology
    Language English
    Publishing date 2018-07-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1390424-3
    ISSN 1532-2149 ; 1090-3801
    ISSN (online) 1532-2149
    ISSN 1090-3801
    DOI 10.1002/ejp.1270
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  4. Article ; Online: Computational functional genomics-based approaches in analgesic drug discovery and repurposing.

    Lippmann, Catharina / Kringel, Dario / Ultsch, Alfred / Lötsch, Jörn

    Pharmacogenomics

    2018  Volume 19, Issue 9, Page(s) 783–797

    Abstract: Persistent pain is a major healthcare problem affecting a fifth of adults worldwide with still limited treatment options. The search for new analgesics increasingly includes the novel research area of functional genomics, which combines data derived from ...

    Abstract Persistent pain is a major healthcare problem affecting a fifth of adults worldwide with still limited treatment options. The search for new analgesics increasingly includes the novel research area of functional genomics, which combines data derived from various processes related to DNA sequence, gene expression or protein function and uses advanced methods of data mining and knowledge discovery with the goal of understanding the relationship between the genome and the phenotype. Its use in drug discovery and repurposing for analgesic indications has so far been performed using knowledge discovery in gene function and drug target-related databases; next-generation sequencing; and functional proteomics-based approaches. Here, we discuss recent efforts in functional genomics-based approaches to analgesic drug discovery and repurposing and highlight the potential of computational functional genomics in this field including a demonstration of the workflow using a novel R library 'dbtORA'.
    MeSH term(s) Analgesics/therapeutic use ; Animals ; Computational Biology/methods ; Data Mining/methods ; Drug Discovery/methods ; Drug Repositioning/methods ; Gene Expression/genetics ; Genomics/methods ; Humans ; Pain/drug therapy ; Pain/genetics ; Proteomics/methods
    Chemical Substances Analgesics
    Language English
    Publishing date 2018-05-24
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2019513-8
    ISSN 1744-8042 ; 1462-2416
    ISSN (online) 1744-8042
    ISSN 1462-2416
    DOI 10.2217/pgs-2018-0036
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    Zs.A 5247: Show issues Location:
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  5. Article ; Online: Computational functional genomics-based reduction of disease-related gene sets to their key components.

    Lippmann, Catharina / Ultsch, Alfred / Lötsch, Jörn

    Bioinformatics (Oxford, England)

    2018  Volume 35, Issue 14, Page(s) 2362–2370

    Abstract: Motivation: The genetic architecture of diseases becomes increasingly known. This raises difficulties in picking suitable targets for further research among an increasing number of candidates. Although expression based methods of gene set reduction are ... ...

    Abstract Motivation: The genetic architecture of diseases becomes increasingly known. This raises difficulties in picking suitable targets for further research among an increasing number of candidates. Although expression based methods of gene set reduction are applied to laboratory-derived genetic data, the analysis of topical sets of genes gathered from knowledge bases requires a modified approach as no quantitative information about gene expression is available.
    Results: We propose a computational functional genomics-based approach at reducing sets of genes to the most relevant items based on the importance of the gene within the polyhierarchy of biological processes characterizing the disease. Knowledge bases about the biological roles of genes can provide a valid description of traits or diseases represented as a directed acyclic graph (DAG) picturing the polyhierarchy of disease relevant biological processes. The proposed method uses a gene importance score derived from the location of the gene-related biological processes in the DAG. It attempts to recreate the DAG and thereby, the roles of the original gene set, with the least number of genes in descending order of importance. This obtained precision and recall of over 70% to recreate the components of the DAG charactering the biological functions of n=540 genes relevant to pain with a subset of only the k=29 best-scoring genes.
    Conclusions: A new method for reduction of gene sets is shown that is able to reproduce the biological processes in which the full gene set is involved by over 70%; however, by using only ∼5% of the original genes.
    Availability and implementation: The necessary numerical parameters for the calculation of gene importance are implemented in the R package dbtORA at https://github.com/IME-TMP-FFM/dbtORA.
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Computational Biology ; Gene Expression ; Genomics ; Knowledge Bases ; Software
    Language English
    Publishing date 2018-11-27
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/bty986
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    Zs.A 2374: Show issues Location:
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  6. Article: Integrated Computational Analysis of Genes Associated with Human Hereditary Insensitivity to Pain. A Drug Repurposing Perspective.

    Lötsch, Jörn / Lippmann, Catharina / Kringel, Dario / Ultsch, Alfred

    Frontiers in molecular neuroscience

    2017  Volume 10, Page(s) 252

    Abstract: Genes causally involved in human insensitivity to pain provide a unique molecular source of studying the pathophysiology of pain and the development of novel analgesic drugs. The increasing availability of "big data" enables novel research approaches to ... ...

    Abstract Genes causally involved in human insensitivity to pain provide a unique molecular source of studying the pathophysiology of pain and the development of novel analgesic drugs. The increasing availability of "big data" enables novel research approaches to chronic pain while also requiring novel techniques for data mining and knowledge discovery. We used machine learning to combine the knowledge about
    Language English
    Publishing date 2017-08-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2452967-9
    ISSN 1662-5099
    ISSN 1662-5099
    DOI 10.3389/fnmol.2017.00252
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  7. Book: Wohnen im Alter

    Lippmann, Christa

    Dokumentation über ein alternatives Wohnprojekt - Nachbarschaftlich Leben für Frauen im Alter e.V

    2010  

    Institution Förderverein Nachbarschaftlich Leben für Frauen im Alter
    Author's details Christa Lippmann
    Language German
    Size 180 S., Ill., graph. Darst.
    Edition 1. Aufl.
    Publisher Nachbarschaftlich Leben für Frauen im Alter e.V
    Publishing place München
    Document type Book
    Note Literaturverz. S. 178 - 179
    ISBN 9783000305627 ; 3000305629
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  8. Article ; Online: Development of an AmpliSeqTM Panel for Next-Generation Sequencing of a Set of Genetic Predictors of Persisting Pain

    Kringel, D. / Kaunisto, M.A. / Lippmann, C. / Kalso, E. / Lötsch, J.

    2018  

    Abstract: Art. 1008, 22 S. ... Background: Many gene variants modulate the individual perception of pain and possibly also its persistence. The limited selection of single functional variants is increasingly being replaced by analyses of the full coding and ... ...

    Abstract Art. 1008, 22 S.

    Background: Many gene variants modulate the individual perception of pain and possibly also its persistence. The limited selection of single functional variants is increasingly being replaced by analyses of the full coding and regulatory sequences of pain-relevant genes accessible by means of next generation sequencing (NGS). Methods: An NGS panel was created for a set of 77 human genes selected following different lines of evidence supporting their role in persisting pain. To address the role of these candidate genes, we established a sequencing assay based on a custom AmpliSeqTM panel to assess the exomic sequences in 72 subjects of Caucasian ethnicity. To identify the systems biology of the genes, the biological functions associated with these genes were assessed by means of a computational over-representation analysis. Results: Sequencing generated a median of 2.85 ⋅ 106 reads per run with a mean depth close to 200 reads, mean read length of 205 called bases and an average chip loading of 71%. A total of 3,185 genetic variants were called. A computational functional genomics analysis indicated that the proposed NGS gene panel covers biological processes identified previously as characterizing the functional genomics of persisting pain. Conclusion: Results of the NGS assay suggested that the produced nucleotide sequences are comparable to those earned with the classical Sanger sequencing technique. The assay is applicable for small to large-scale experimental setups to target the accessing of information about any nucleotide within the addressed genes in a study cohort.

    9
    Keywords 540 ; 571 ; 572
    Subject code 616
    Language English
    Publishing country de
    Document type Article ; Online
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  9. Book: UNTERSUCHUNGEN DER ZAHNFLEISCHTASCHEN-TIEFE NACH KONSERVATIVER UND CHIRURGISCHER PARODONTAL-BEHANDLUNG

    Schmidt-Lippmann, Christina

    1977  

    Size 39 S. : 14 TAB. U. GRAPH. DARST.
    Document type Book
    Note HAMBURG, UNIV., FACHBEREICH MEDIZIN, DISS., 1977
    HBZ-ID HT002592506
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    79 D 747 order for loan Magazin

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  10. Article: Development of an AmpliSeq

    Kringel, Dario / Kaunisto, Mari A / Lippmann, Catharina / Kalso, Eija / Lötsch, Jörn

    Frontiers in pharmacology

    2018  Volume 9, Page(s) 1008

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2018-09-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2018.01008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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