Evidence map›Paper›PMID 16707020›Full record

ArticleBMC genomics2006

angaGEDUCI: Anopheles gambiae gene expression database with integrated comparative algorithms for identifying conserved DNA motifs in promoter sequences.

Sumudu N Dissanayake, Osvaldo Marinotti, Jose Marcos C Ribeiro, Anthony A James

Abstract read
In one paragraph

Article in BMC genomics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The Entomopathogenic FungiFrontiers in microbiology · 2017
    Article
  6. Genome-block expression-assisted association studies discover malaria resistance genes in Anopheles gambiae.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Silencing of carbonic anhydrase in an Anopheles gambiae larval cell line, Ag55.Journal of RNAi and gene silencing : an international journal of RNA and gene targeting research · 2009
    Article
  12. Comparative genomics allows the discovery of cis-regulatory elements in mosquitoes.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  13. Article
  14. Gene expression studies in mosquitoes.Advances in genetics · 2008
    Review
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

4 authors.

Sumudu N DissanayakeDepartment of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA. sdissana@uci.edu
Osvaldo Marinotti
Jose Marcos C Ribeiro
Anthony A James

Funding

Expression of Exogenous Genes in Vector MosquitoesR37AI029746 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI JAMES, ANTHONY A. · 2007 to 2016
$3.6M
Vector-Borne Diseases: Biology Of Vector Host RelationshipZ01AI000810 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI RIBEIRO, JOSE M · 1997 to 2008
$3.5M
EXPRESSION OF EXOGENOUS GENES IN VECTOR MOSQUITOESR01AI029746 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI JAMES, ANTHONY A. · 1989 to 2006
$1.7M
NIAID NIH HHS AI29746NIAID NIH HHS R01 AI029746NIAID NIH HHS R37 AI029746
6 · The paper itself

Abstract

backgroundThe completed sequence of the Anopheles gambiae genome has enabled genome-wide analyses of gene expression and regulation in this principal vector of human malaria. These investigations have created a demand for efficient methods of cataloguing and analyzing the large quantities of data that have been produced. The organization of genome-wide data into one unified database makes possible the efficient identification of spatial and temporal patterns of gene expression, and by pairing these findings with comparative algorithms, may offer a tool to gain insight into the molecular mechanisms that regulate these expression patterns. DESCRIPTION: We provide a publicly-accessible database and integrated data-mining tool, angaGEDUCI, that unifies 1) stage- and tissue-specific microarray analyses of gene expression in An. gambiae at different developmental stages and temporal separations following a bloodmeal, 2) functional gene annotation, 3) genomic sequence data, and 4) promoter sequence comparison algorithms. The database can be used to study genes expressed in particular stages, tissues, and patterns of interest, and to identify conserved promoter sequence motifs that may play a role in the regulation of such expression. The database is accessible from the address http://www.angaged.bio.uci.edu.

conclusionBy combining gene expression, function, and sequence data with integrated sequence comparison algorithms, angaGEDUCI streamlines spatial and temporal pattern-finding and produces a straightforward means of developing predictions and designing experiments to assess how gene expression may be controlled at the molecular level.

Indexed as

AlgorithmsDatabases, GeneticGene Expression ProfilingAnimalsAnophelesBinding SitesConserved SequenceGenes, InsectMolecular Sequence DataPromoter Regions, GeneticRegulatory Sequences, Nucleic AcidRNA, MessengerTranscription FactorsUser-Computer InterfaceRNA, MessengerTranscription Factors

Identifiers

PMID16707020
PMCPMC1524951

What OpenQuestion holds

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LicenceCC BY
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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.