Evidence map›Paper›PMID 26078057›Full record

ArticleBMC genomics2015

Deep sequencing, profiling and detailed annotation of microRNAs in Takifugu rubripes.

Chaninya Wongwarangkana, Kazuhiro E Fujimori, Masaki Akiba, Shigeharu Kinoshita, Morimi Teruya, Maiko Nezuo, Tsukahara Masatoshi, Shugo Watabe, Shuichi Asakawa

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. 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
2.0field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 33 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Chaninya WongwarangkanaDepartment of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo, 113-8657, Tokyo, Japan. tarnjew@gmail.com.
Kazuhiro E FujimoriBio-production Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Central 6, 1-1-1 Higashi, Tsukuba, 305-8566, Japan. k-fujimori@aist.go.jp.
Masaki AkibaDepartment of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo, 113-8657, Tokyo, Japan. msk.scanner@gmail.com.
Shigeharu KinoshitaDepartment of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo, 113-8657, Tokyo, Japan. akino@mail.ecc.u-tokyo.ac.jp.
Morimi TeruyaOkinawa Cutting-edge Genome Project, Okinawa, Japan. trymrm@gmail.com.
Maiko NezuoOkinawa Cutting-edge Genome Project, Okinawa, Japan. nezuo@biojet.jp.
Tsukahara MasatoshiOkinawa Cutting-edge Genome Project, Okinawa, Japan. tsuka@biojet.jp.
Shugo WatabeSchool of Marine Bioscience, Kitasato University, Minami, Sagamihara, 252-0373, Kanagawa, Japan. swatabe@kitasato-u.ac.jp.
Shuichi AsakawaDepartment of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo, 113-8657, Tokyo, Japan. asakawa@mail.ecc.u-tokyo.ac.jp.
The University of Tokyo · JPOkinawa Institute of Science and Technology Graduate University · JPKitasato University · JPNational Institute of Advanced Industrial Science and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmicroRNAs (miRNAs) in fish have not been as extensively studied as those in mammals. The fish species Takifugu rubripes is an intensively studied model organism whose genome has been sequenced. The T. rubripes genome is approximately eight times smaller than the human genome, but has a similar repertoire of protein-coding genes. Therefore, it is useful for identifying non-coding genes, including miRNA genes. To identify miRNA expression patterns in different organs of T. rubripes and give fundamental information to aid understanding of miRNA populations in this species, we extracted small RNAs from tissues and performed deep sequencing analysis to profile T. rubripes miRNAs. These data will be of assistance in functional studies of miRNAs in T. rubripes.

resultsAfter analyzing a total of 139 million reads, we found miRNA species in nine tissues (fast and slow muscles, heart, eye, brain, intestine, liver, ovaries, and testes). We identified 1420 known miRNAs, many of which were strongly expressed in certain tissues with expression patterns similar to those described for other animals in previous reports. Most miRNAs were expressed in tissues other than the ovaries or testes. However, some miRNA families were highly abundant in the gonads, but expressed only at low levels in somatic tissue, suggesting specific function in germ cells. The most abundant isomiRs (miRNA variants) of many miRNAs had identical sequences in the 5' region. However, isomiRs of some miRNAs, including fru-miR-462-5p, varied in the 5' region in some tissues, suggesting that they may target different mRNA transcripts. Longer small RNAs (26-31 nt), which were abundant in the gonads, may be putative piRNAs because of their length and their origin from repetitive elements. Additionally, our data include possible novel classes of small RNAs.

conclusionsWe elucidated miRNA expression patterns in various organs of T. rubripes. Most miRNA sequences are conserved in vertebrates, indicating that the basic functions of vertebrate miRNAs share a common evolution. Some miRNA species exhibit different distributions of isomiRs between tissues, suggesting that they have a broad range of functions.

Indexed as

AnimalsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMicroRNAsMolecular Sequence AnnotationRNA, Small InterferingTakifuguTranscriptomeMicroRNAsRNA, Small Interfering

Identifiers

PMID26078057
PMCPMC4469249
OpenAlexW1582667708

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.