Evidence map›Paper›PMID 22951208›Full record

ArticleJournal of cystic fibrosis : official journal of the European Cystic Fibrosis Society2013

Metagenomics and metatranscriptomics: windows on CF-associated viral and microbial communities.

Yan Wei Lim, Robert Schmieder, Matthew Haynes, Dana Willner, Mike Furlan, Merry Youle, Katelynn Abbott, Robert Edwards, Jose Evangelista, Douglas Conrad and 1 more

Abstract read
In one paragraph

Article in Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing 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

101 citing papers in PubMed.

  1. Trial
  2. Bridging bench and bedside: translational omics ofEuropean respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. The respiratory tract virome: unravelling the role of viral dark matter in respiratory health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Genome-scale model ofMicrobiology spectrum · 2024
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. A restructuring of microbiome niche space is associated with Elexacaftor-Tezacaftor-Ivacaftor therapy in the cystic fibrosis lung.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2022
    Article
  19. Article
  20. Article

41 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

11 authors.

Yan Wei LimDepartment of Biology, San Diego State University, San Diego, CA, 92182, USA. Electronic address: ylim@rohan.sdsu.edu.
Robert SchmiederComputational Science Research Center, San Diego State University, San Diego, CA, 92182, USA.
Matthew HaynesDepartment of Biology, San Diego State University, San Diego, CA, 92182, USA; DOE Joint Genome Institute, Walnut Creek, CA 94598, USA.
Dana WillnerAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, University of Queensland, St. Lucia, QLD, Australia.
Mike FurlanDepartment of Biology, San Diego State University, San Diego, CA, 92182, USA.
Merry YouleRainbow Rock, Ocean View, HI 96737, USA.
Katelynn AbbottDepartment of Biology, San Diego State University, San Diego, CA, 92182, USA.
Robert EdwardsComputational Science Research Center, San Diego State University, San Diego, CA, 92182, USA; Mathematics and Computer Science Division, Argonne National, Laboratory, Argonne, IL 60439, USA.
Jose EvangelistaDepartment of Medicine, University of California San Diego, La Jolla, CA 92037, USA.
Douglas ConradDepartment of Medicine, University of California San Diego, La Jolla, CA 92037, USA.
Forest RohwerDepartment of Biology, San Diego State University, San Diego, CA, 92182, USA.

Funding

Ecology of Cystic Fibrosis: Administrative SupplementR01GM095384 · NIGMS · SAN DIEGO STATE UNIVERSITY · PI ROHWER, FOREST L · 2011 to 2014
$1.9M
NIGMS NIH HHS 1 R01GM095384-01NIGMS NIH HHS R01 GM095384
6 · The paper itself

Abstract

backgroundSamples collected from CF patient airways often contain large amounts of host-derived nucleic acids that interfere with recovery and purification of microbial and viral nucleic acids. This study describes metagenomic and metatranscriptomic methods that address these issues.

methodsMicrobial and viral metagenomes, and microbial metatranscriptomes, were successfully prepared from sputum samples from five adult CF patients.

resultsContaminating host DNA was dramatically reduced in the metagenomes. Each CF patient presented a unique microbiome; in some Pseudomonas aeruginosa was replaced by other opportunistic bacteria. Even though the taxonomic composition of the microbiomes is very different, the metabolic potentials encoded by the community are very similar. The viral communities were dominated by phages that infect major CF pathogens. The metatranscriptomes reveal differential expression of encoded metabolic potential with changing health status.

conclusionsMicrobial and viral metagenomics combined with microbial transcriptomics characterize the dynamic polymicrobial communities found in CF airways, revealing both the taxa present and their current metabolic activities. These approaches can facilitate the development of individualized treatment plans and novel therapeutic approaches.

Indexed as

AdultBacterial InfectionsBiotaCystic FibrosisHumansLungMetabolic Networks and PathwaysMetagenomeSputumTranscriptomeVirus Diseases

Identifiers

PMID22951208
PMCPMC3534838

What OpenQuestion holds

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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.