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Distinct mucosal microbial communities in infants with surgical necrotizing enterocolitis correlate with age and antibiotic exposure.

PloS one | 2018

Necrotizing enterocolitis (NEC) is the most common surgical emergency in preterm infants, and pathogenesis associates with changes in the fecal microbiome. As fecal samples incompletely represent microbial communities in intestinal mucosa, we sought to determine the NEC tissue-specific microbiome and assess its contribution to pathogenesis.

Pubmed ID: 30365522 RIS Download

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

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Associated grants

  • Agency: NIAID NIH HHS, United States
    Id: U19 AI095227
  • Agency: NCRR NIH HHS, United States
    Id: UL1 RR024975
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK058404
  • Agency: NIDDK NIH HHS, United States
    Id: K08 DK090146
  • Agency: NCI NIH HHS, United States
    Id: P30 CA008748
  • Agency: NIAID NIH HHS, United States
    Id: P30 AI110527
  • Agency: NICHD NIH HHS, United States
    Id: K08 HD061607
  • Agency: NICHD NIH HHS, United States
    Id: T32 HD068256

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This is a list of tools and resources that we have found mentioned in this publication.


QIIME (tool)

RRID:SCR_008249

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data, but also supporting analysis of other types of data. QIMME analyzes and transforms raw sequencing data generated on Illumina or other platforms to publication quality graphics and statistics.

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mothur (tool)

RRID:SCR_011947

An open-source software package for describing and comparing microbial communities. It incorporates the functionality of a number of computational tools, calculators, and visualization tools.

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DESeq2 (tool)

RRID:SCR_015687

Software package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.

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