Evidence map›Paper›PMID 31824777›Full record

ArticlePeerJ2019

Global transcriptome analysis of different stages of preimplantation embryo development in river buffalo.

Chun-Ying Pang, Ming-Zhou Bai, Chi Zhang, Junhui Chen, Xing-Rong Lu, Ting-Xian Deng, Xiao-Ya Ma, An-Qin Duan, Sha-Sha Liang, Yun-Qi Huang and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 5 institutions in 1 country.

Chun-Ying Pang *Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Ministry of Agriculture and Rural Affairs (Guangxi), Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, P. R. China.
Ming-Zhou Bai *BGI Genomics, BGI-Shenzhen, Shenzhen, Guangdong, PR China.
Chi ZhangBGI Genomics, BGI-Shenzhen, Shenzhen, Guangdong, PR China.
Junhui ChenBGI Genomics, BGI-Shenzhen, Shenzhen, Guangdong, PR China.
Xing-Rong LuKey Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Ministry of Agriculture and Rural Affairs (Guangxi), Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, P. R. China.
Ting-Xian DengKey Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Ministry of Agriculture and Rural Affairs (Guangxi), Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, P. R. China.
Xiao-Ya MaKey Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Ministry of Agriculture and Rural Affairs (Guangxi), Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, P. R. China.
An-Qin DuanKey Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Ministry of Agriculture and Rural Affairs (Guangxi), Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, P. R. China.
Sha-Sha LiangKey Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Ministry of Agriculture and Rural Affairs (Guangxi), Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, P. R. China.
Yun-Qi HuangShandong Agricultural University, Taian, PR China.
Zhihui XiuBGI Genomics, BGI-Shenzhen, Shenzhen, Guangdong, PR China.
Xian-Wei LiangKey Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Ministry of Agriculture and Rural Affairs (Guangxi), Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, P. R. China.
Ministry of Agriculture and Rural Affairs · CNBGI GenomicsBGI Group (China) · CNGuangxi Buffalo Research Institute · CNShandong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWater buffalo (

methodsWe revealed transcriptomic profile of four stages (2-cell, 8-cell, Morula and Blastocyst) of PED via RNA-seq (Illumina HiSeq4000). Each stage comprised three biological replicates. The data were analyzed according to the basic RNA-seq analysis process. Ingenuity analysis of cell lineage control, especially transcription factor (TF) regulatory networks, was also performed.

resultsA total of 21,519 expressed genes and 67,298 transcripts were predicted from approximately 81.94 Gb of raw data. Analysis of transcriptome-wide expression, gene coexpression networks, and differentially expressed genes (DEGs) allowed for the characterization of gene-specific expression levels and relationships for each stage. The expression patterns of TFs, such as

Indexed as

Cell lineagesPreimplantation embryoRiver buffaloRNA-seqTranscription factor

Identifiers

PMID31824777
PMCPMC6894430
OpenAlexW2991431334

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.