Evidence map›Paper›PMID 35186023›Full record

ArticleFrontiers in genetics2022

Screening and Conjoint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows.

Tong Mu, Honghong Hu, Xiaofang Feng, Yanfen Ma, Ying Wang, Jiamin Liu, Baojun Yu, Wan Wen, Juan Zhang, Yaling Gu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. CRISPR/Cas9-MediatedAnimals : an open access journal from MDPI · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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 at 2 institutions in 1 country.

Tong MuSchool of Agriculture, Ningxia University, Yinchuan, China.
Honghong HuSchool of Agriculture, Ningxia University, Yinchuan, China.
Xiaofang FengSchool of Agriculture, Ningxia University, Yinchuan, China.
Yanfen MaSchool of Agriculture, Ningxia University, Yinchuan, China.
Ying WangSchool of Agriculture, Ningxia University, Yinchuan, China.
Jiamin LiuSchool of Agriculture, Ningxia University, Yinchuan, China.
Baojun YuSchool of Agriculture, Ningxia University, Yinchuan, China.
Wan WenAnimal Husbandry Extension Station, Yinchuan, China.
Juan ZhangSchool of Agriculture, Ningxia University, Yinchuan, China.
Yaling GuSchool of Agriculture, Ningxia University, Yinchuan, China.
Ningxia University · CNNational Animal Husbandry Service · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) play an important regulatory role in various biological processes as a key regulatory factor. However, the complete expression profile of lncRNAs in dairy cows and its function in milk fat synthesis are unknown. In this study, RNA sequencing (RNA-seq) was used to research the whole genome expression of lncRNAs and mRNA transcripts in high and low milk fat percentage (MFP) bovine mammary epithelial cells (BMECs), and joint analysis was carried out. We identified a total of 47 differentially expressed genes (DEGs) and 38 differentially expressed lncRNAs (DELs, Padj <0.05), enrichment analysis screened out 11 candidate DEGs that may regulate milk fat metabolism. Downregulated differential gene

Indexed as

conjoint analysisgeneHolstein cattlelncRNAsmilk fat percentage

Identifiers

PMID35186023
PMCPMC8850724
OpenAlexW4210388234

What Socratic 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 Socratic graph.