Evidence map›Paper›PMID 16683029›Full record

ArticlePLoS genetics2006

Differential use of signal peptides and membrane domains is a common occurrence in the protein output of transcriptional units.

Melissa J Davis, Kelly A Hanson, Francis Clark, J Lynn Fink, Fasheng Zhang, Takeya Kasukawa, Chikatoshi Kai, Jun Kawai, Piero Carninci, Yoshihide Hayashizaki and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

26 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Transcriptome Analysis of FourG3 (Bethesda, Md.) · 2018
    Article
  11. Alternative polyadenylation of mRNA precursors.Nature reviews. Molecular cell biology · 2017
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Bioinformatics construction of the human cell surfaceome.Proceedings of the National Academy of Sciences of the United States of America · 2009
    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 3 institutions in 2 countries.

Melissa J DavisInstitute for Molecular Bioscience and ARC Centre in Bioinformatics, University of Queensland, St. Lucia, Queensland, Australia.
Kelly A Hanson
Francis Clark
J Lynn Fink
Fasheng Zhang
Takeya Kasukawa
Chikatoshi Kai
Jun Kawai
Piero Carninci
Yoshihide Hayashizaki
Rohan D Teasdale
University of Queensland · AURIKEN Center for Integrative Medical Sciences · JPRIKEN · JP

Funding

Towards renal regenerationR01DK063400 · NIDDK · UNIVERSITY OF QUEENSLAND · PI LITTLE, MELISSA HELEN · 2002 to 2004
$2.4M
NIDDK NIH HHS DK63400NIDDK NIH HHS R01 DK063400
6 · The paper itself

Abstract

Membrane organization describes the orientation of a protein with respect to the membrane and can be determined by the presence, or absence, and organization within the protein sequence of two features: endoplasmic reticulum signal peptides and alpha-helical transmembrane domains. These features allow protein sequences to be classified into one of five membrane organization categories: soluble intracellular proteins, soluble secreted proteins, type I membrane proteins, type II membrane proteins, and multi-spanning membrane proteins. Generation of protein isoforms with variable membrane organizations can change a protein's subcellular localization or association with the membrane. Application of MemO, a membrane organization annotation pipeline, to the FANTOM3 Isoform Protein Sequence mouse protein set revealed that within the 8,032 transcriptional units (TUs) with multiple protein isoforms, 573 had variation in their use of signal peptides, 1,527 had variation in their use of transmembrane domains, and 615 generated protein isoforms from distinct membrane organization classes. The mechanisms underlying these transcript variations were analyzed. While TUs were identified encoding all pairwise combinations of membrane organization categories, the most common was conversion of membrane proteins to soluble proteins. Observed within our high-confidence set were 156 TUs predicted to generate both extracellular soluble and membrane proteins, and 217 TUs generating both intracellular soluble and membrane proteins. The differential use of endoplasmic reticulum signal peptides and transmembrane domains is a common occurrence within the variable protein output of TUs. The generation of protein isoforms that are targeted to multiple subcellular locations represents a major functional consequence of transcript variation within the mouse transcriptome.

Indexed as

Transcription, GeneticAnimalsGenetic VariationMembrane ProteinsProtein IsoformsProtein Sorting SignalsMembrane ProteinsProtein IsoformsProtein Sorting Signals

Identifiers

PMID16683029
PMCPMC1449889
OpenAlexW2088862160

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.