Evidence map›Paper›PMID 25414358›Full record

ArticleNucleic acids research2015

DB-AT: a 2015 update to the Full-parasites database brings a multitude of new transcriptomic data for apicomplexan parasites.

Marcin Jąkalski, Hiroyuki Wakaguri, Tabea G Kischka, Yoshifumi Nishikawa, Shin-ichiro Kawazu, Makoto Matsubayashi, Fumiya Kawahara, Naotoshi Tsuji, Shinuo Cao, Fujiko Sunaga and 10 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Genomics of apicomplexan parasites.Critical reviews in biochemistry and molecular biology · 2017
    Review
  3. Article
  4. 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

20 authors.

Marcin JąkalskiUniversity of Münster, Faculty of Medicine, Institute of Bioinformatics, Niels-Stensen Strasse 14, 48149 Münster, Germany.
Hiroyuki WakaguriDepartment of Medical Genome Science, Room 032, Sougou Research Complex, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan.
Tabea G KischkaUniversity of Münster, Faculty of Medicine, Institute of Bioinformatics, Niels-Stensen Strasse 14, 48149 Münster, Germany.
Yoshifumi NishikawaNational Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan.
Shin-ichiro KawazuNational Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan.
Makoto MatsubayashiNational Institute of Animal Health, National Agricultural and Food Research Organization, Kannondai, Tsukuba, Ibaraki 305-0856, Japan.
Fumiya KawaharaNippon Institute for Biological Science, 9-2221-1 Shin-machi, Ome, Tokyo 198-0024, Japan.
Naotoshi TsujiDepartment of Parasitology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa 252-0374, Japan.
Shinuo CaoNational Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan.
Fujiko SunagaSchool of Veterinary Medicine, Azabu University, 1-17-71 Fucinobe, Chuo-ku, Sagamihara, Kanagawa 252-5201, Japan.
Xuenan XuanNational Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan.
Kazuhiro OkuboNational Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan.
Ikuo IgarashiNational Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido 080-8555, Japan.
Josef TudaDepartment of Medicine, Sam Ratulangi University, Kampus Unsrat, Bahu Manado, 95115, Indonesia.
Arthur E MonganDepartment of Medicine, Sam Ratulangi University, Kampus Unsrat, Bahu Manado, 95115, Indonesia.
Yuki EshitaOita University, School of Medicine, 1-1 Idaigaoka, Hazamacho, Yufu, Oita 879-5593, Japan.
Ryuichiro MaedaObihiro University of Agriculture and Veterinary Medicine, Inada-cho West 2-13, Obihiro, Hokkaido 080-8555, Japan.
Wojciech MakałowskiUniversity of Münster, Faculty of Medicine, Institute of Bioinformatics, Niels-Stensen Strasse 14, 48149 Münster, Germany.
Yutaka SuzukiDepartment of Medical Genome Science, Room 032, Sougou Research Complex, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan junya@czc.hokudai.ac.jp.
Junya YamagishiDivision of Collaboration and Education, Research Center for Zoonosis Control, Hokkaido University, North 20, West 10 Kita-ku, Sapporo, Hokkaido 001-0020, Japan Global Station for Zoonosis Control, GI-CoRE, Hokkaido University, North 20, West 10 Kita-ku, Sapporo, Hokkaido 001-0020, Japan junya@czc.hokudai.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The previous release of our Full-parasites database (http://fullmal.hgc.jp/) brought enhanced functionality, an expanded full-length cDNA content, and new RNA-Seq datasets from several important apicomplexan parasites. The 2015 update witnesses the major shift in the databases content with focus on diverse transcriptomes of the apicomplexan parasites. The content of the database was substantially enriched with transcriptome information for new apicomplexan parasites. The latest version covers a total of 17 species, with addition of our newly generated RNA-Seq data of a total of 909,150,388 tags. Moreover, we have generated and included two novel and unique datasets, which represent diverse nature of transcriptomes in individual parasites in vivo and in vitro. One is the data collected from 116 Indonesian patients infected with Plasmodium falciparum. The other is a series of transcriptome data collected from a total of 38 single cells of P. falciparum cultured in vitro. We believe that with the recent advances our database becomes an even better resource and a unique platform in the analysis of apicomplexan parasites and their interaction with their hosts. To adequately reflect the recent modifications and the current content we have changed the database name to DB-AT--DataBase of Apicomplexa Transcriptomes.

Indexed as

Databases, GeneticGene Expression ProfilingApicomplexaHumansInternetMalaria, FalciparumPlasmodium falciparumSequence Analysis, RNA

Identifiers

PMID25414358
PMCPMC4383994

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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.