Evidence map›Paper›PMID 26644461›Full record

ArticlePlant & cell physiology2016

ALCOdb: Gene Coexpression Database for Microalgae.

Yuichi Aoki, Yasunobu Okamura, Hiroyuki Ohta, Kengo Kinoshita, Takeshi Obayashi

Abstract read
In one paragraph

Article in Plant & cell physiology, 2016. 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
–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

26 citing papers in PubMed.

  1. Progress and challenges in CRISPR/Cas applications in microalgae.Journal of microbiology (Seoul, Korea) · 2025
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  13. The Two TpsB-Like Proteins inJournal of bacteriology · 2021
    Article
  14. Article
  15. Lipid Pathway Databases with a Focus on Algae.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  16. Article
  17. Coexpressed subunits of dual genetic origin define a conserved supercomplex mediating essential protein import into chloroplasts.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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

5 authors.

Yuichi AokiGraduate School of Information Sciences, Tohoku University, 6-3-09, Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579 Japan Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST), Kawaguchi, Saitama, Japan.
Yasunobu OkamuraGraduate School of Information Sciences, Tohoku University, 6-3-09, Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579 Japan.
Hiroyuki OhtaCore Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST), Kawaguchi, Saitama, Japan Department of Biological Sciences, Tokyo Institute of Technology, Yokohama, Kanagawa, 226-8501 Japan Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8551 Japan.
Kengo KinoshitaGraduate School of Information Sciences, Tohoku University, 6-3-09, Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579 Japan Institute of Development, Aging, and Cancer, Tohoku University, Sendai, 980-8575 Japan Tohoku Medical Megabank Organization, Tohoku University, Sendai, 980-8573 Japan.
Takeshi ObayashiGraduate School of Information Sciences, Tohoku University, 6-3-09, Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579 Japan Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST), Kawaguchi, Saitama, Japan obayashi@ecei.tohoku.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of energy and food shortage, microalgae have gained much attention as promising sources of biofuels and food ingredients. However, only a small fraction of microalgal genes have been functionally characterized. Here, we have developed the Algae Gene Coexpression database (ALCOdb; http://alcodb.jp), which provides gene coexpression information to survey gene modules for a function of interest. ALCOdb currently supports two model algae: the green alga Chlamydomonas reinhardtii and the red alga Cyanidioschyzon merolae. Users can retrieve coexpression information for genes of interest through three unique data pages: (i) Coexpressed Gene List; (ii) Gene Information; and (iii) Coexpressed Gene Network. In addition to the basal coexpression information, ALCOdb also provides several advanced functionalities such as an expression profile viewer and a differentially expressed gene search tool. Using these user interfaces, we demonstrated that our gene coexpression data have the potential to detect functionally related genes and are useful in extrapolating the biological roles of uncharacterized genes. ALCOdb will facilitate molecular and biochemical studies of microalgal biological phenomena, such as lipid metabolism and organelle development, and promote the evolutionary understanding of plant cellular systems.

Indexed as

Databases, GeneticUser-Computer InterfaceChlamydomonas reinhardtiiGene Regulatory NetworksLipid MetabolismMicroalgaeRhodophytaTranscriptomeChlamydomonas reinhardtiiComparative transcriptomicsCyanidioschyzon merolaeDatabaseGene coexpressionMicroalgae

Identifiers

PMID26644461
PMCPMC4722175

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.