Evidence map›Paper›PMID 17486137›Full record

ArticleMolecular systems biology2007

Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

Brian Cox, Thomas Kislinger, Dennis A Wigle, Anitha Kannan, Kevin Brown, Tadashi Okubo, Brigid Hogan, Igor Jurisica, Brendan Frey, Janet Rossant and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Molecular systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

39 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Cancers · 2021
    Article
  3. Review
  4. Integrating multiomics longitudinal data to reconstruct networks underlying lung development.American journal of physiology. Lung cellular and molecular physiology · 2019
    Article
  5. Review
  6. Article
  7. Article
  8. Time-resolved proteome profiling of normal lung development.American journal of physiology. Lung cellular and molecular physiology · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Regulation of alveolar septation by microRNA-489.American journal of physiology. Lung cellular and molecular physiology · 2016
    Article
  13. NeuCode labels for relative protein quantification.Molecular & cellular proteomics : MCP · 2014
    Article
  14. Article
  15. Review
  16. Tools for label-free peptide quantification.Molecular & cellular proteomics : MCP · 2013
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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 at 6 institutions in 2 countries.

Brian CoxDepartment of Medical Genetics and Microbiology, University of Toronto, Toronto, Ontario, Canada.
Thomas Kislinger
Dennis A Wigle
Anitha Kannan
Kevin Brown
Tadashi Okubo
Brigid Hogan
Igor Jurisica
Brendan Frey
Janet Rossant
Andrew Emili
University of Toronto · CAPrincess Margaret Cancer Centre · CADuke Medical Center · USDuke University · USLunenfeld-Tanenbaum Research Institute · CAMount Sinai Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although microarray analysis has provided information regarding the dynamics of gene expression during development of the mouse lung, no extensive correlations have been made to the levels of corresponding protein products. Here, we present a global survey of protein expression during mouse lung organogenesis from embryonic day E13.5 until adulthood using gel-free two-dimensional liquid chromatography coupled to shotgun tandem mass spectrometry (MudPIT). Mathematical modeling of the proteomic profiles with parallel DNA microarray data identified large groups of gene products with statistically significant correlation or divergence in coregulation of protein and transcript levels during lung development. We also present an integrative analysis of mRNA and protein expression in Nmyc loss- and gain-of-function mutants. This revealed a set of 90 positively and negatively regulated putative target genes. These targets are evidence that Nmyc is a regulator of genes involved in mRNA processing and a repressor of the imprinted gene Igf2r in the developing lung.

Indexed as

Gene Expression ProfilingGene Expression Regulation, DevelopmentalGenes, mycAlternative SplicingAnimalsCell LineCrosses, GeneticFemaleGenotypeGestational AgeHumansKidneyLungMaleMiceMice, Inbred ICRProto-Oncogene Proteins c-mycReceptor, IGF Type 2Recombinant Fusion ProteinsRNA, Messenger

Identifiers

PMID17486137
PMCPMC2673710
OpenAlexW2133812508

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.