Evidence map›Paper›PMID 15383909›Full record

ArticleJournal of molecular evolution2004

Clustering of genes coding for DNA binding proteins in a region of atypical evolution of the human genome.

Jose Castresana, Roderic Guigó, M Mar Albà

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of molecular evolution, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Tandem Repeats inInternational journal of molecular sciences · 2021
    Article
  4. Unique Features of Tandem Repeats in Bacteria.Journal of bacteriology · 2020
    Article
  5. Article
  6. Emergence of novel domains in proteins.BMC evolutionary biology · 2013
    Article
  7. Article
  8. Article
  9. Article
  10. 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 2 institutions in 1 country.

Jose CastresanaCentre de Regulació Genòmica (CRG), Programme of Bioinformatics and Genomics, Passeig Marítim 37-49, 08003, Barcelona, Spain. jcvagr@ibmb.csic.es
Roderic Guigó
M Mar Albà
Centre for Genomic Regulation · ESPompeu Fabra University · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparison of the human and mouse genomes has revealed that significant variations in evolutionary rates exist among genomic regions and that a large part of this variation is interchromosomal. We confirm in this work, using a large collection of introns, that human chromosome 19 is the one that shows the highest divergence with respect to mouse. To search for other differences among chromosomes, we examine the distribution of gene functions in human and mouse chromosomes using the Gene Ontology definitions. We found by correspondence analysis that among the strongest clusterings of gene functions in human chromosomes is a group of genes coding for DNA binding proteins in chromosome 19. Interestingly, chromosome 19 also has a very high GC content, a feature that has been proposed to promote an opening of the chromatin, thereby facilitating binding of proteins to the DNA helix. In the mouse genome, however, a similar aggregation of genes coding for DNA binding proteins and high GC content cannot be found. This suggests that the distribution of genes coding for DNA binding proteins and the variations of the chromatin accessibility to these proteins are different in the human and mouse genomes. It is likely that the overall high synonymous and intron rates in chromosome 19 are a by-product of the high GC content of this chromosome.

Indexed as

Evolution, MolecularGenome, HumanBase CompositionChromatinChromosomes, Human, Pair 19Computational BiologyDatabases, GeneticDNA-Binding ProteinsHumansIntronsModels, GeneticMultigene FamilyPhylogenyZinc FingersChromatinDNA-Binding Proteins

Identifiers

PMID15383909
OpenAlexW1987248588

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.