Evidence map›Paper›PMID 28710545›Full record

ArticleTransgenic research2017

Comparative muscle proteomics/phosphoproteomics analysis provides new insight for the biosafety evaluation of fat-1 transgenic cattle.

Xiangbo Xin, Xinfeng Liu, Xin Li, Xiangbin Ding, Shuping Yang, Congfei Jin, Guangpeng Li, Hong Guo

Abstract read
PubMed Publisher
In one paragraph

Article in Transgenic research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Generation ofOpen biology · 2019
    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

8 authors at 2 institutions in 1 country.

Xiangbo XinCollege of Animal Science and Veterinary Medicine, Tianjin Agriculture University, 22 Jinjing Road, Tianjin, 300384, China.
Xinfeng LiuCollege of Animal Science and Veterinary Medicine, Tianjin Agriculture University, 22 Jinjing Road, Tianjin, 300384, China.
Xin LiCollege of Animal Science and Veterinary Medicine, Tianjin Agriculture University, 22 Jinjing Road, Tianjin, 300384, China.
Xiangbin DingCollege of Animal Science and Veterinary Medicine, Tianjin Agriculture University, 22 Jinjing Road, Tianjin, 300384, China.
Shuping YangCollege of Animal Science and Veterinary Medicine, Tianjin Agriculture University, 22 Jinjing Road, Tianjin, 300384, China.
Congfei JinCollege of Animal Science and Veterinary Medicine, Tianjin Agriculture University, 22 Jinjing Road, Tianjin, 300384, China.
Guangpeng LiThe Key Laboratory of Mammalian Reproductive Biology and Biotechnology of the Ministry of Education, Inner Mongolia University, 24 Zhaojun Road, Hohhot, 010070, China. gpeng@imu.edu.cn.
Hong GuoCollege of Animal Science and Veterinary Medicine, Tianjin Agriculture University, 22 Jinjing Road, Tianjin, 300384, China. guohong64@163.com.
Tianjin Agricultural University · CNInner Mongolia University · CN

Funding

National Transgenic Animal Program 2014ZX08007-002National Transgenic Animal Program 2016ZX08007002-004
6 · The paper itself

Abstract

The biosafety of fat-1 transgenic cattle has been a focus of our studies since the first fat-1 transgenic cow was born. In this study, we used tandem mass tag labeling, TiO

Indexed as

AnimalsAnimals, Genetically ModifiedCattleChromatography, LiquidComputational BiologyContainment of BiohazardsMusclesPhosphoproteinsProteomicsTandem Mass SpectrometryPhosphoproteinsBiosafety evaluationFat-1 transgenic cowsPhosphoproteomicProteomicTMT 6-plex

Identifiers

PMID28710545
OpenAlexW2735106135

What OpenQuestion holds

Textmetadata
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.