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  1. Article ; Online: How Female-Female Competition Affects Male-Male Competition: Insights into Postcopulatory Sexual Selection from Socially Polyandrous Species.

    Lipshutz, Sara E / Torneo, Samuel J / Rosvall, Kimberly A

    The American naturalist

    2023  Volume 201, Issue 3, Page(s) 460–471

    Abstract: AbstractSexual selection is a major driver of trait variation, and the intensity of male competition for mating opportunities has been linked with sperm size across diverse taxa. Mating competition among females may also shape the evolution of sperm ... ...

    Abstract AbstractSexual selection is a major driver of trait variation, and the intensity of male competition for mating opportunities has been linked with sperm size across diverse taxa. Mating competition among females may also shape the evolution of sperm traits, but the effect of the interplay between female-female competition and male-male competition on sperm morphology is not well understood. We evaluated variation in sperm morphology in two species with socially polyandrous mating systems, in which females compete to mate with multiple males. Northern jacanas (
    MeSH term(s) Male ; Female ; Animals ; Sexual Selection ; Semen ; Sex Characteristics ; Reproduction ; Spermatozoa ; Charadriiformes
    Language English
    Publishing date 2023-01-20
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 207092-3
    ISSN 1537-5323 ; 0003-0147
    ISSN (online) 1537-5323
    ISSN 0003-0147
    DOI 10.1086/722799
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Lester: A Study in Diagnostic Teaching.

    Lipshutz, Samuel / McNally, Lorraine

    The Psychological clinic

    2017  Volume 17, Issue 6-7, Page(s) 204–209

    Language English
    Publishing date 2017-09-14
    Publishing country United States
    Document type Journal Article
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Studies in Diagnostic Teaching: Parker.

    Lipshutz, Samuel / McNally, Lorraine L

    The Psychological clinic

    2017  Volume 17, Issue 8-9, Page(s) 269–273

    Language English
    Publishing date 2017-09-14
    Publishing country United States
    Document type Journal Article
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: An indicator cell assay for blood-based diagnostics.

    Danziger, Samuel A / Miller, Leslie R / Singh, Karanbir / Whitney, G Adam / Peskind, Elaine R / Li, Ge / Lipshutz, Robert J / Aitchison, John D / Smith, Jennifer J

    PloS one

    2017  Volume 12, Issue 6, Page(s) e0178608

    Abstract: We have established proof of principle for the Indicator Cell Assay Platform™ (iCAP™), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate ... ...

    Abstract We have established proof of principle for the Indicator Cell Assay Platform™ (iCAP™), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate and respond to diverse signals present in patients' blood. To develop an assay, indicator cells are exposed in vitro to serum from case or control subjects and their global differential response patterns are used to train reliable, disease classifiers based on a small number of features. In a feasibility study, the iCAP detected pre-symptomatic disease in a murine model of amyotrophic lateral sclerosis (ALS) with 94% accuracy (p-Value = 3.81E-6) and correctly identified samples from a murine Huntington's disease model as non-carriers of ALS. Beyond the mouse model, in a preliminary human disease study, the iCAP detected early stage Alzheimer's disease with 72% cross-validated accuracy (p-Value = 3.10E-3). For both assays, iCAP features were enriched for disease-related genes, supporting the assay's relevance for disease research.
    MeSH term(s) Alzheimer Disease/diagnosis ; Alzheimer Disease/genetics ; Amyotrophic Lateral Sclerosis/diagnosis ; Amyotrophic Lateral Sclerosis/genetics ; Animals ; Biological Assay/methods ; Disease Models, Animal ; Embryoid Bodies/metabolism ; Humans ; Male ; Mice ; Sensitivity and Specificity ; Superoxide Dismutase-1/genetics
    Chemical Substances SOD1 protein, human ; Superoxide Dismutase-1 (EC 1.15.1.1)
    Language English
    Publishing date 2017-06-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0178608
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: An indicator cell assay for blood-based diagnostics.

    Samuel A Danziger / Leslie R Miller / Karanbir Singh / G Adam Whitney / Elaine R Peskind / Ge Li / Robert J Lipshutz / John D Aitchison / Jennifer J Smith

    PLoS ONE, Vol 12, Iss 6, p e

    2017  Volume 0178608

    Abstract: We have established proof of principle for the Indicator Cell Assay Platform™ (iCAP™), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate ... ...

    Abstract We have established proof of principle for the Indicator Cell Assay Platform™ (iCAP™), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate and respond to diverse signals present in patients' blood. To develop an assay, indicator cells are exposed in vitro to serum from case or control subjects and their global differential response patterns are used to train reliable, disease classifiers based on a small number of features. In a feasibility study, the iCAP detected pre-symptomatic disease in a murine model of amyotrophic lateral sclerosis (ALS) with 94% accuracy (p-Value = 3.81E-6) and correctly identified samples from a murine Huntington's disease model as non-carriers of ALS. Beyond the mouse model, in a preliminary human disease study, the iCAP detected early stage Alzheimer's disease with 72% cross-validated accuracy (p-Value = 3.10E-3). For both assays, iCAP features were enriched for disease-related genes, supporting the assay's relevance for disease research.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2017-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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