Evidence map›Paper›PMID 16293607›Full record

ArticleBlood2006

High frequency of alternative first exons in erythroid genes suggests a critical role in regulating gene function.

Jeff S Tan, Narla Mohandas, John G Conboy

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

22 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  4. Review
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  12. Expression of different functional isoforms in haematopoiesis.International journal of hematology · 2014
    Review
  13. Article
  14. Article
  15. Ferroportin and erythroid cells: an update.Advances in hematology · 2010
    Article
  16. Article
  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

3 authors at 1 institution in 1 country.

Jeff S TanLife Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Narla Mohandas
John G Conboy
New York Blood Center · US

Funding

YEAST MEMBRANE CYTOSKELETONP01DK032094 · NIDDK · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI NARLA, MOHANDAS · 1987 to 2021
$26.7M
NIDDK NIH HHS DK32094NIDDK NIH HHS P01 DK032094
6 · The paper itself

Abstract

The human genome uses alternative pre-mRNA splicing as an important mechanism to encode a complex proteome from a relatively small number of genes. An unknown number of these genes also possess multiple transcriptional promoters and alternative first exons that contribute another layer of complexity to gene expression mechanisms. Using a collection of more than 100 erythroid-expressed genes as a test group, we used genome browser tools and genetic databases to assess the frequency of alternative first exons in the genome. Remarkably, 35% of these erythroid genes show evidence of alternative first exons. The majority of the candidate first exons are situated upstream of the coding exons, whereas a few are located internally within the gene. Computational analyses predict transcriptional promoters closely associated with many of the candidate first exons, supporting their authenticity. Importantly, the frequent presence of consensus translation initiation sites among the alternative first exons suggests that many proteins have alternative N-terminal structures whose expression can be coupled to promoter choice. These findings indicate that alternative promoters and first exons are more widespread in the human genome than previously appreciated and that they may play a major role in regulating expression of selected protein isoforms in a tissue-specific manner.

Indexed as

ErythrocytesGene Expression RegulationAlternative SplicingComputational BiologyDatabases, Nucleic AcidExonsGenomicsHumansPromoter Regions, GeneticProtein IsoformsProtein Isoforms

Identifiers

PMID16293607
PMCPMC1895744
OpenAlexW2005665114

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.