Evidence map›Paper›PMID 35677459›Full record

ArticleData in brief2022

Data on mammary gland microRNAs expression, their predicted gene targets and corresponding pathway analysis in female mice receiving flaxseed or its oil and secoisolariciresinol diglucoside components.

Diana Wu, Amel Taibi, Zhen Lin, Lilian U Thompson, Elena M Comelli

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 62% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Diana WuDepartment of Nutritional Sciences, University of Toronto, ON, Canada.
Amel TaibiDepartment of Nutritional Sciences, University of Toronto, ON, Canada.
Zhen LinDepartment of Nutritional Sciences, University of Toronto, ON, Canada.
Lilian U ThompsonDepartment of Nutritional Sciences, University of Toronto, ON, Canada.
Elena M ComelliDepartment of Nutritional Sciences, University of Toronto, ON, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary flaxseed may act via microRNAs (miRNAs) to affect the health of the mammary gland. These data are in support of the article entitled "Effects of flaxseed and its components on mammary gland miRNome: identification of potential biomarkers to prevent breast cancer development" [1]. Here, we provide miRNA expression data obtained from NanoString nCounter® profiling of mammary gland RNA from C57BL/6 female mice who received a control diet or isocaloric diets containing 10% FS, 3.67% FSO, or 0.15% SDG for 21 days. The raw miRNA data were deposited at the NCBI Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193847) under the accession number GSE193847. We also identified diet-associated miRNA-gene targets and corresponding enriched pathways. These data can be found at the HARVARD Dataverse (https://doi.org/10.7910/DVN/3ZNYES). These data will be valuable as a reference to understand the effects of FS versus its components and to study responses to these ingredients in hosts of different genetic backgrounds, sex and age. These data will contribute to future investigations regarding mechanisms underlying FS effects within the mammary gland.

Indexed as

female miceFlaxseedFlaxseed oilmammary glandmicroRNANanoStringsecoisolariciresinol diglucosidetarget predictions

Identifiers

PMID35677459
PMCPMC9167859
OpenAlexW4281824594

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.