Evidence map›Paper›PMID 16407321›Full record

ArticleNucleic acids research2006

Rapid quantitative profiling of complex microbial populations.

Chana Palmer, Elisabeth M Bik, Michael B Eisen, Paul B Eckburg, Theodore R Sana, Paul K Wolber, David A Relman, Patrick O Brown

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed.

  1. Article
  2. Review
  3. Emerging priorities for microbial metagenome research.Bioresource technology reports · 2020
    Review
  4. Review
  5. Clinical metagenomics.Nature reviews. Genetics · 2019
    Review
  6. Metagenomic investigation of gastrointestinal microbiome in cattle.Asian-Australasian journal of animal sciences · 2017
    Review
  7. Article
  8. Article
  9. Article
  10. PhylOPDb: a 16S rRNA oligonucleotide probe database for prokaryotic identification.Database : the journal of biological databases and curation · 2014
    Article
  11. Article
  12. The potential link between gut microbiota and IgE-mediated food allergy in early life.International journal of environmental research and public health · 2013
    Review
  13. Article
  14. GPR-Analyzer: a simple tool for quantitative analysis of hierarchical multispecies microarrays.Environmental science and pollution research international · 2013
    Article
  15. Article
  16. Article
  17. Review
  18. Gene capture coupled to high-throughput sequencing as a strategy for targeted metagenome exploration.DNA research : an international journal for rapid publication of reports on genes and genomes · 2013
    Article
  19. Upper gastrointestinal microbiota and digestive diseases.World journal of gastroenterology · 2013
    Review
  20. Microbial diversity in the era of omic technologies.BioMed research international · 2013
    Review

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chana PalmerDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Elisabeth M Bik
Michael B Eisen
Paul B Eckburg
Theodore R Sana
Paul K Wolber
David A Relman
Patrick O Brown

Funding

Crohn's Disease: Microflora Analysis and Host ResponseR01AI051259 · NIAID · STANFORD UNIVERSITY · PI RELMAN, DAVID ARNOLD · 2002 to 2005
$1.2M
NIAID NIH HHS AI051259NIAID NIH HHS R01 AI051259
6 · The paper itself

Abstract

Diverse and complex microbial ecosystems are found in virtually every environment on earth, yet we know very little about their composition and ecology. Comprehensive identification and quantification of the constituents of these microbial communities--a 'census'--is an essential foundation for understanding their biology. To address this problem, we developed, tested and optimized a DNA oligonucleotide microarray composed of 10,462 small subunit (SSU) ribosomal DNA (rDNA) probes (7167 unique sequences) selected to provide quantitative information on the taxonomic composition of diverse microbial populations. Using our optimized experimental approach, this microarray enabled detection and quantification of individual bacterial species present at fractional abundances of <0.1% in complex synthetic mixtures. The estimates of bacterial species abundance obtained using this microarray are similar to those obtained by phylogenetic analysis of SSU rDNA sequences from the same samples--the current 'gold standard' method for profiling microbial communities. Furthermore, probes designed to represent higher order taxonomic groups of bacterial species reliably detected microbes for which there were no species-specific probes. This simple, rapid microarray procedure can be used to explore and systematically characterize complex microbial communities, such as those found within the human body.

Indexed as

AdultBacteriaColonDNA, BacterialDNA, RibosomalHumansMiddle AgedOligonucleotide Array Sequence AnalysisPhylogenyReproducibility of ResultsTime FactorsDNA, BacterialDNA, Ribosomal

Identifiers

PMID16407321
PMCPMC1326253

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.