Evidence map›Paper›PMID 16498083›Full record

ArticleAmerican journal of respiratory cell and molecular biology2006

Human lung project: evaluating variance of gene expression in the human lung.

Michael P Gruber, Christopher D Coldren, Malcolm D Woolum, Gregory P Cosgrove, Chan Zeng, Anna E Barón, Mark D Moore, Carlyne D Cool, G Scott Worthen, Kevin K Brown and 1 more

Abstract read
In one paragraph

Article in American journal of respiratory cell and molecular biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Gene Expression: the Key to Understanding HIV-1 Infection?Microbiology and molecular biology reviews : MMBR · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. The Intersection of Aging Biology and the Pathobiology of Lung Diseases: A Joint NHLBI/NIA Workshop.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Regulated gene expression in cultured type II cells of adult human lung.American journal of physiology. Lung cellular and molecular physiology · 2010
    Article
  19. Article
  20. Review
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.

Michael P GruberDivision of Pulmonary Sciences and Critical Care Medicine, University of Colorado Health Sciences Center, 4200 East Ninth Ave, Denver, CO 80262, USA.
Christopher D Coldren
Malcolm D Woolum
Gregory P Cosgrove
Chan Zeng
Anna E Barón
Mark D Moore
Carlyne D Cool
G Scott Worthen
Kevin K Brown
Mark W Geraci

Funding

Expression Analysis to Study Disease PathogenesisR01HL072340 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI GERACI, MARK W · 2002 to 2005
$3.0M
NHLBI NIH HHS R01 HL 72340-01
6 · The paper itself

Abstract

Nondiseased tissue is an important reference for microarray studies of pulmonary disease. We obtained 23 single lungs from multiorgan donors at time of procurement. Donors varied in age, sex, smoking history, and ethnicity. Lungs were dissected into upper and lower lobe peripheral sections for RNA extraction. Microarray analysis was performed using Affymetrix Hu-133 Plus 2.0 arrays. We observed that the relative variability of gene expression increased rapidly from technical (lowest), to regional, to population (highest). In addition, age and sex have measurable effects on gene expression. Gene expression variability is heterogeneously distributed among biologic categories. We conclude that gene expression variability is greater between individuals than within individuals and that population variability is the most important factor in the study design of microarray experiments of the human lung. Classes of genes with high population variability are biologically important and provide a novel perspective into lung physiology and pathobiology. Our study represents the first comprehensive analysis of nondiseased lung tissue. The generation of this robust dataset has important implications for the design and implementation of future comparative expression analysis with pulmonary disease states.

Indexed as

Gene Expression ProfilingAdultAgedAgingFemaleGenetic VariationHumansLungMaleMiddle AgedOligonucleotide Array Sequence AnalysisSex Characteristics

Identifiers

PMID16498083
PMCPMC2658699

What OpenQuestion holds

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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.