Evidence map›Paper›PMID 16344564›Full record

ArticleGenome research2006

Tandem chimerism as a means to increase protein complexity in the human genome.

Genís Parra, Alexandre Reymond, Noura Dabbouseh, Emmanouil T Dermitzakis, Robert Castelo, Timothy M Thomson, Stylianos E Antonarakis, Roderic Guigó

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed, 206 citations in OpenAlex.

  1. Science advances · 2026
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  11. Detection of novel and recurrent conjoined genes in non-Hodgkin B-cell lymphoma.Journal of clinical and experimental hematopathology : JCEH · 2021
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57 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

8 authors at 4 institutions in 3 countries.

Genís ParraGrup de Recerca en Informàtica Biomèdica, Institut Municipal d'Investigació Mèdica-Universitat Pompeu Fabra, and Programa de Bioinformàtica i Genòmica, Centre de Regulació Genòmica, E08003 Barcelona, Catalonia, Spain.
Alexandre Reymond
Noura Dabbouseh
Emmanouil T Dermitzakis
Robert Castelo
Timothy M Thomson
Stylianos E Antonarakis
Roderic Guigó
Universitat Pompeu Fabra · ESUniversity of Geneva · CHInstitut de Biologia Molecular de Barcelona · ESWellcome Sanger Institute · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

The "one-gene, one-protein" rule, coined by Beadle and Tatum, has been fundamental to molecular biology. The rule implies that the genetic complexity of an organism depends essentially on its gene number. The discovery, however, that alternative gene splicing and transcription are widespread phenomena dramatically altered our understanding of the genetic complexity of higher eukaryotic organisms; in these, a limited number of genes may potentially encode a much larger number of proteins. Here we investigate yet another phenomenon that may contribute to generate additional protein diversity. Indeed, by relying on both computational and experimental analysis, we estimate that at least 4%-5% of the tandem gene pairs in the human genome can be eventually transcribed into a single RNA sequence encoding a putative chimeric protein. While the functional significance of most of these chimeric transcripts remains to be determined, we provide strong evidence that this phenomenon does not correspond to mere technical artifacts and that it is a common mechanism with the potential of generating hundreds of additional proteins in the human genome.

Indexed as

Gene FusionGenome, HumanHumansRNA SplicingTranscription, Genetic

Identifiers

PMID16344564
PMCPMC1356127
OpenAlexW2147354571

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.