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  1. AU="Lemon, Katherine P"
  2. AU="An-Ning Zhang"
  3. AU="Ingerson-Mahar, Joseph"
  4. AU="Marie-Anne Mawhin"
  5. AU=Rizzo J Douglas
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  1. Article ; Online: Human nasal microbiota.

    Lemon, Katherine P

    Current biology : CB

    2020  Volume 30, Issue 19, Page(s) R1118–R1119

    Abstract: The human nasal passages host a distinct community of microbes. Katherine P. Lemon describes this distinct community, and why it matters so much for human health. ...

    Abstract The human nasal passages host a distinct community of microbes. Katherine P. Lemon describes this distinct community, and why it matters so much for human health.
    MeSH term(s) Bacteria/classification ; Bacteria/genetics ; Bacteria/isolation & purification ; Bacterial Infections/microbiology ; Humans ; Microbiota ; Nasal Cavity/microbiology
    Language English
    Publishing date 2020-10-06
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1071731-6
    ISSN 1879-0445 ; 0960-9822
    ISSN (online) 1879-0445
    ISSN 0960-9822
    DOI 10.1016/j.cub.2020.08.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3208: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
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  2. Article ; Online: When does a Lotka-Volterra model represent microbial interactions? Insights from

    Dedrick, Sandra / Warrier, Vaishnavi / Lemon, Katherine P / Momeni, Babak

    mSystems

    2023  Volume 8, Issue 3, Page(s) e0075722

    Abstract: To alter microbial community composition for therapeutic purposes, an accurate and reliable modeling framework capable of predicting microbial community outcomes is required. Lotka-Volterra (LV) equations have been utilized to describe a breadth of ... ...

    Abstract To alter microbial community composition for therapeutic purposes, an accurate and reliable modeling framework capable of predicting microbial community outcomes is required. Lotka-Volterra (LV) equations have been utilized to describe a breadth of microbial communities, yet, the conditions in which this modeling framework is successful remain unclear. Here, we propose that a set of simple
    MeSH term(s) Humans ; Microbiota ; Microbial Interactions ; Models, Theoretical ; Models, Biological ; Bacteria
    Language English
    Publishing date 2023-06-06
    Publishing country United States
    Document type Journal Article
    ISSN 2379-5077
    ISSN (online) 2379-5077
    DOI 10.1128/msystems.00757-22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Genomic characterization of the

    Ahmed, Nashwa M / Joglekar, Payal / Deming, Clayton / Lemon, Katherine P / Kong, Heidi H / Segre, Julia A / Conlan, Sean

    bioRxiv : the preprint server for biology

    2023  

    Abstract: ... ...

    Abstract Corynebacterium
    Language English
    Publishing date 2023-06-17
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.06.16.545375
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Genomic characterization of the

    Ahmed, Nashwa / Joglekar, Payal / Deming, Clayton / Lemon, Katherine P / Kong, Heidi H / Segre, Julie A / Conlan, Sean

    mSystems

    2023  Volume 8, Issue 6, Page(s) e0063223

    Abstract: Importance: Amplicon sequencing data combined with isolate whole genome sequencing have expanded our understanding ... ...

    Abstract Importance: Amplicon sequencing data combined with isolate whole genome sequencing have expanded our understanding of
    MeSH term(s) Humans ; Corynebacterium Infections/microbiology ; Genomics ; Whole Genome Sequencing ; Microbiota/genetics
    Language English
    Publishing date 2023-11-10
    Publishing country United States
    Document type Journal Article
    ISSN 2379-5077
    ISSN (online) 2379-5077
    DOI 10.1128/msystems.00632-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Bacterial microbiota of the nasal passages across the span of human life

    Bomar, Lindsey / Brugger, Silvio D / Lemon, Katherine P

    Current opinion in microbiology. 2018 Feb., v. 41

    2018  

    Abstract: The human nasal passages host major human pathogens. Recent research suggests that the microbial communities inhabiting the epithelial surfaces of the nasal passages are a key factor in maintaining a healthy microenvironment by affecting both resistance ... ...

    Abstract The human nasal passages host major human pathogens. Recent research suggests that the microbial communities inhabiting the epithelial surfaces of the nasal passages are a key factor in maintaining a healthy microenvironment by affecting both resistance to pathogens and immunological responses. The nasal bacterial microbiota shows distinct changes over the span of human life and disruption by environmental factors might be associated with both short- and long-term health consequences, such as susceptibility to viral and bacterial infections and disturbances of the immunological balance. Because infants and older adults experience a high burden of morbidity and mortality from respiratory tract infections, we review recent data on the bacterial nasal microbiota composition in health and acute respiratory infection in these age groups.
    Keywords animal pathogens ; bacterial infections ; elderly ; environmental factors ; epithelium ; humans ; immune response ; infants ; microbial communities ; microorganisms ; morbidity ; mortality ; nasal cavity ; public health ; respiratory tract diseases
    Language English
    Dates of publication 2018-02
    Size p. 8-14.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 1418474-6
    ISSN 1879-0364 ; 1369-5274
    ISSN (online) 1879-0364
    ISSN 1369-5274
    DOI 10.1016/j.mib.2017.10.023
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5514: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 51: Show issues

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  6. Article: Metabolic capabilities are highly conserved among human nasal-associated

    Tran, Tommy H / Roberts, Ari Q / Escapa, Isabel F / Gao, Wei / Segre, Julie A / Kong, Heidi H / Conlan, Sean / Kelly, Matthew S / Lemon, Katherine P

    bioRxiv : the preprint server for biology

    2023  

    Abstract: ... ...

    Abstract Corynebact
    Language English
    Publishing date 2023-06-05
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.06.05.543719
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Bacterial microbiota of the nasal passages across the span of human life.

    Bomar, Lindsey / Brugger, Silvio D / Lemon, Katherine P

    Current opinion in microbiology

    2017  Volume 41, Page(s) 8–14

    Abstract: The human nasal passages host major human pathogens. Recent research suggests that the microbial communities inhabiting the epithelial surfaces of the nasal passages are a key factor in maintaining a healthy microenvironment by affecting both resistance ... ...

    Abstract The human nasal passages host major human pathogens. Recent research suggests that the microbial communities inhabiting the epithelial surfaces of the nasal passages are a key factor in maintaining a healthy microenvironment by affecting both resistance to pathogens and immunological responses. The nasal bacterial microbiota shows distinct changes over the span of human life and disruption by environmental factors might be associated with both short- and long-term health consequences, such as susceptibility to viral and bacterial infections and disturbances of the immunological balance. Because infants and older adults experience a high burden of morbidity and mortality from respiratory tract infections, we review recent data on the bacterial nasal microbiota composition in health and acute respiratory infection in these age groups.
    MeSH term(s) Adolescent ; Age Factors ; Aged ; Bacteria/classification ; Bacteria/genetics ; Bacteria/isolation & purification ; Bacterial Infections/microbiology ; Child, Preschool ; DNA, Bacterial ; Disease Susceptibility/etiology ; Disease Susceptibility/immunology ; Female ; Humans ; Infant ; Infant, Newborn ; Microbiota ; Middle Aged ; Nasal Cavity/microbiology ; RNA, Ribosomal, 16S ; Respiratory Tract Infections/microbiology
    Chemical Substances DNA, Bacterial ; RNA, Ribosomal, 16S
    Language English
    Publishing date 2017-11-20
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1418474-6
    ISSN 1879-0364 ; 1369-5274
    ISSN (online) 1879-0364
    ISSN 1369-5274
    DOI 10.1016/j.mib.2017.10.023
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 5514: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 51: Show issues

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  8. Article ; Online: Commensal-Pathogen Interactions along the Human Nasal Passages.

    Brugger, Silvio D / Bomar, Lindsey / Lemon, Katherine P

    PLoS pathogens

    2016  Volume 12, Issue 7, Page(s) e1005633

    MeSH term(s) Host-Pathogen Interactions ; Humans ; Nasal Cavity/microbiology ; Nasal Mucosa/microbiology ; Symbiosis
    Language English
    Publishing date 2016-07-07
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Review
    ZDB-ID 2205412-1
    ISSN 1553-7374 ; 1553-7366
    ISSN (online) 1553-7374
    ISSN 1553-7366
    DOI 10.1371/journal.ppat.1005633
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Dolosigranulum pigrum Cooperation and Competition in Human Nasal Microbiota.

    Brugger, Silvio D / Eslami, Sara M / Pettigrew, Melinda M / Escapa, Isabel F / Henke, Matthew T / Kong, Yong / Lemon, Katherine P

    mSphere

    2020  Volume 5, Issue 5

    Abstract: Multiple epidemiological studies ... ...

    Abstract Multiple epidemiological studies identify
    MeSH term(s) Bacteria/classification ; Bacteria/genetics ; Bacteria/metabolism ; Carnobacteriaceae/genetics ; Carnobacteriaceae/physiology ; Child, Preschool ; Genomics ; Humans ; Infant ; Microbial Interactions ; Microbiota ; Nasopharynx/microbiology ; Pneumococcal Infections/microbiology ; Staphylococcus aureus/genetics ; Staphylococcus aureus/physiology ; Streptococcus pneumoniae/genetics ; Streptococcus pneumoniae/physiology
    Language English
    Publishing date 2020-09-09
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ISSN 2379-5042
    ISSN (online) 2379-5042
    DOI 10.1128/mSphere.00852-20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Construction of habitat-specific training sets to achieve species-level assignment in 16S rRNA gene datasets.

    F Escapa, Isabel / Huang, Yanmei / Chen, Tsute / Lin, Maoxuan / Kokaras, Alexis / Dewhirst, Floyd E / Lemon, Katherine P

    Microbiome

    2020  Volume 8, Issue 1, Page(s) 65

    Abstract: Background: The low cost of 16S rRNA gene sequencing facilitates population-scale molecular epidemiological studies. Existing computational algorithms can resolve 16S rRNA gene sequences into high-resolution amplicon sequence variants (ASVs), which ... ...

    Abstract Background: The low cost of 16S rRNA gene sequencing facilitates population-scale molecular epidemiological studies. Existing computational algorithms can resolve 16S rRNA gene sequences into high-resolution amplicon sequence variants (ASVs), which represent consistent labels comparable across studies. Assigning these ASVs to species-level taxonomy strengthens the ecological and/or clinical relevance of 16S rRNA gene-based microbiota studies and further facilitates data comparison across studies.
    Results: To achieve this, we developed a broadly applicable method for constructing high-resolution training sets based on the phylogenic relationships among microbes found in a habitat of interest. When used with the naïve Bayesian Ribosomal Database Project (RDP) Classifier, this training set achieved species/supraspecies-level taxonomic assignment of 16S rRNA gene-derived ASVs. The key steps for generating such a training set are (1) constructing an accurate and comprehensive phylogenetic-based, habitat-specific database; (2) compiling multiple 16S rRNA gene sequences to represent the natural sequence variability of each taxon in the database; (3) trimming the training set to match the sequenced regions, if necessary; and (4) placing species sharing closely related sequences into a training-set-specific supraspecies taxonomic level to preserve subgenus-level resolution. As proof of principle, we developed a V1-V3 region training set for the bacterial microbiota of the human aerodigestive tract using the full-length 16S rRNA gene reference sequences compiled in our expanded Human Oral Microbiome Database (eHOMD). We also overcame technical limitations to successfully use Illumina sequences for the 16S rRNA gene V1-V3 region, the most informative segment for classifying bacteria native to the human aerodigestive tract. Finally, we generated a full-length eHOMD 16S rRNA gene training set, which we used in conjunction with an independent PacBio single molecule, real-time (SMRT)-sequenced sinonasal dataset to validate the representation of species in our training set. This also established the effectiveness of a full-length training set for assigning taxonomy of long-read 16S rRNA gene datasets.
    Conclusion: Here, we present a systematic approach for constructing a phylogeny-based, high-resolution, habitat-specific training set that permits species/supraspecies-level taxonomic assignment to short- and long-read 16S rRNA gene-derived ASVs. This advancement enhances the ecological and/or clinical relevance of 16S rRNA gene-based microbiota studies. Video Abstract.
    MeSH term(s) Bacteria/genetics ; Bayes Theorem ; Computational Biology/methods ; Gastrointestinal Microbiome/genetics ; Humans ; Phylogeny ; RNA, Ribosomal, 16S/genetics ; Sequence Analysis, DNA ; Species Specificity
    Chemical Substances RNA, Ribosomal, 16S
    Language English
    Publishing date 2020-05-15
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2697425-3
    ISSN 2049-2618 ; 2049-2618
    ISSN (online) 2049-2618
    ISSN 2049-2618
    DOI 10.1186/s40168-020-00841-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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