Evidence map›Paper›PMID 28629368›Full record

ArticleBMC genomics2017

Identification and characterization of long intergenic noncoding RNAs in bovine mammary glands.

Chao Tong, Qiaoling Chen, Lili Zhao, Junfei Ma, Eveline M Ibeagha-Awemu, Xin Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

41 citing papers in PubMed, 71 citations in OpenAlex.

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  12. LncRNAs in domesticated animals: from dog to livestock species.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
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  17. Exosomal RNAs: Novel Potential Biomarkers for Diseases-A Review.International journal of molecular sciences · 2022
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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

6 authors at 3 institutions in 2 countries.

Chao TongCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China.
Qiaoling ChenCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China.
Lili ZhaoCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China.
Junfei MaCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China.
Eveline M Ibeagha-AwemuAgriculture and Agri-Food Canada, Research and Development Centre, Sherbrooke, QC, J1M 0C8, Canada.
Xin ZhaoCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, People's Republic of China. xin.zhao@mcgill.ca.
Northwest A&F University · CNAgriculture and Agri-Food Canada · CAMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMammary glands of dairy cattle produce milk for the newborn offspring and for human consumption. Long intergenic noncoding RNAs (lincRNAs) play various functions in eukaryotic cells. However, types and roles of lincRNAs in bovine mammary glands are still poorly understood.

resultsUsing computational methods, 886 unknown intergenic transcripts (UITs) were identified from five RNA-seq datasets from bovine mammary glands. Their non-coding potentials were predicted by using the combination of four software programs (CPAT, CNCI, CPC and hmmscan), with 184 lincRNAs identified. By comparison to the NONCODE2016 database and a domestic-animal long noncoding RNA database (ALDB), 112 novel lincRNAs were revealed in bovine mammary glands. Many lincRNAs were found to be located in quantitative trait loci (QTL). In particular, 36 lincRNAs were found in 172 milk related QTLs, whereas one lincRNA was within clinical mastitis QTL region. In addition, targeted genes for 10 lincRNAs with the highest fragments per kilobase of transcript per million fragments mapped (FPKM) were predicted by LncTar for forecasting potential biological functions of these lincRNAs. Further analyses indicate involvement of lincRNAs in several biological functions and different pathways.

conclusionOur study has provided a panoramic view of lincRNAs in bovine mammary glands and suggested their involvement in many biological functions including susceptibility to clinical mastitis as well as milk quality and production. This integrative annotation of mammary gland lincRNAs broadens and deepens our understanding of bovine mammary gland biology.

Indexed as

Computational BiologyAnimalsCattleDatabases, GeneticFemaleGene Expression ProfilingMammary Glands, AnimalMilkQuantitative Trait LociRNA, Long NoncodingSequence Analysis, RNARNA, Long NoncodingBovine mammary glandLincRNAsQuantitative trait loci

Identifiers

PMID28629368
PMCPMC5477121
OpenAlexW2677837825

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.