Evidence map›Paper›PMID 36672970›Full record

ArticleGenes2023

Transcriptome Profiling of Developing Testes and First Wave of Spermatogenesis in the Rat.

Yan Zhang, Zaixia Liu, Xia Yun, Baiyin Batu, Zheng Yang, Xinlai Zhang, Wenguang Zhang, Taodi Liu

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Protective effects ofFrontiers in toxicology · 2026
    Article
  3. Review
  4. 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.

Yan ZhangMedical Neurobiology Laboratory, School of Basic Medical Sciences, Inner Mongolia Medical University, Hohhot 010110, China.
Zaixia LiuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Xia YunMedical Neurobiology Laboratory, School of Basic Medical Sciences, Inner Mongolia Medical University, Hohhot 010110, China.
Baiyin BatuMedical Neurobiology Laboratory, School of Basic Medical Sciences, Inner Mongolia Medical University, Hohhot 010110, China.
Zheng YangMedical Neurobiology Laboratory, School of Basic Medical Sciences, Inner Mongolia Medical University, Hohhot 010110, China.
Xinlai ZhangMedical Neurobiology Laboratory, School of Basic Medical Sciences, Inner Mongolia Medical University, Hohhot 010110, China.
Wenguang ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Taodi LiuMedical Neurobiology Laboratory, School of Basic Medical Sciences, Inner Mongolia Medical University, Hohhot 010110, China.
Inner Mongolia Medical University · CNInner Mongolia Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spermatogenesis is a complicated course of several rigorous restrained steps that spermatogonial stem cells undergo to develop into highly specialized spermatozoa; however, specific genes and signal pathways, which regulate the amplification, differentiation and maturation of these cells, remain unclear. We performed bioinformatics analyses to investigate the dynamic changes of the gene expression patterns at three time points in the course of the first wave of rat spermatogenesis. Differently expressed genes (DEGs) were identified, and the features of DEGs were further analyzed with GO (Gene Ontology), KEGG (Kyoto Encyclopedia of Genes and Genomes) and Short Time-series Expression Miner (STEM). A total of 2954 differentially expressed genes were identified. By using STEM, the top 10 key genes were selected in the profile according to the enrichment results, and the distinguishable biological functions encoded by these DEGs were automatically divided into three parts. Genes from 6, 8 and 10 days were related to biosynthesis, immune response and cell junction, and genes from 14, 15 and 16 days were related to energy metabolic pathways. The results also suggest that genes from 29, 31 and 35 days may shift metabolic to sperm motility, sperm flagellum and cilium movement.

Indexed as

TestisTranscriptomeAnimalsGene Expression ProfilingMaleRatsSemenSpermatogenesisSperm Motilitydifferentially expressed genesspermatogenesisspermatogonial stem cellstranscriptome

Identifiers

PMID36672970
PMCPMC9859615
OpenAlexW4316464720

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.