Evidence map›Paper›PMID 21051343›Full record

ArticleNucleic acids research2011

Full-parasites: database of full-length cDNAs of apicomplexa parasites, 2010 update.

Josef Tuda, Arthur E Mongan, Mohammed E M Tolba, Mihoko Imada, Junya Yamagishi, Xuenan Xuan, Hiroyuki Wakaguri, Sumio Sugano, Chihiro Sugimoto, Yutaka Suzuki

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Detecting and comparing non-coding RNAs in the high-throughput era.International journal of molecular sciences · 2013
    Review
  5. Article
  6. 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

10 authors.

Josef TudaFaculty of Medicine, Sam Ratulangi University, Kampus Unsrat, Bahu Manado 95115, Indonesia.
Arthur E Mongan
Mohammed E M Tolba
Mihoko Imada
Junya Yamagishi
Xuenan Xuan
Hiroyuki Wakaguri
Sumio Sugano
Chihiro Sugimoto
Yutaka Suzuki

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Full-Parasites (http://fullmal.hgc.jp/) is a transcriptome database of apicomplexa parasites, which include Plasmodium and Toxoplasma species. The latest version of Full-Parasites contains a total of 105,786 EST sequences from 12 parasites, of which 5925 full-length cDNAs have been completely sequenced. Full-Parasites also contain more than 30 million transcription start sites (TSS) for Plasmodium falciparum (Pf) and Toxoplasma gondii (Tg), which were identified using our novel oligo-capping-based protocol. Various types of cDNA data resources were interconnected with our original database functionalities. Specifically, in this update, we have included two unique RNA-Seq data sets consisting of 730 million mapped RNA-Seq tags. One is a dataset of 16 time-lapse experiments of cultured bradyzoite differentiation for Tg. The other dataset includes 31 clinical samples of Pf. Parasite RNA was extracted together with host human RNA, and the extracted mixed RNA was used for RNA sequencing, with the expectation that gene expression information from the host and parasite would be simultaneously represented. By providing the largest unique full-length cDNA and dynamic transcriptome data, Full-Parasites is useful for understanding host-parasite interactions and will help to eventually elucidate how monophyletic organisms have evolved to become parasites by adopting complex life cycles.

Indexed as

Databases, Nucleic AcidApicomplexaDNA, ComplementaryExpressed Sequence TagsGene Expression ProfilingHost-Parasite InteractionsHumansPlasmodium falciparumRNA, ProtozoanSequence Analysis, RNAToxoplasmaTranscription Initiation SiteDNA, ComplementaryRNA, Protozoan

Identifiers

PMID21051343
PMCPMC3013703

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.