Evidence map›Paper›PMID 27560004›Full record

ArticleRNA biology2016

Expression dynamics, relationships, and transcriptional regulations of diverse transcripts in mouse spermatogenic cells.

Xiwen Lin, Miao Han, Lu Cheng, Jian Chen, Zhuqiang Zhang, Ting Shen, Min Wang, Bo Wen, Ting Ni, Chunsheng Han

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 90 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Epididymal-Born circRNA Cargo and Its Implications in Male Fertility.International journal of molecular sciences · 2025
    Review
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  14. Frontiers in cell and developmental biology · 2023
    Review
  15. Article
  16. Article
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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 6 institutions in 1 country.

Xiwen Lina State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences , Beijing , China.
Miao Hanb State Key Laboratory of Genetic Engineering & Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Fudan University , Shanghai , China.
Lu Chengc Key Laboratory of Metabolism and Molecular Medicine of Ministry of Education and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University , Shanghai , China.
Jian Chena State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences , Beijing , China.
Zhuqiang Zhanga State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences , Beijing , China.
Ting Shenb State Key Laboratory of Genetic Engineering & Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Fudan University , Shanghai , China.
Min Wanga State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences , Beijing , China.
Bo Wenb State Key Laboratory of Genetic Engineering & Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Fudan University , Shanghai , China.
Ting Nib State Key Laboratory of Genetic Engineering & Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Fudan University , Shanghai , China.
Chunsheng Hana State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences , Beijing , China.
Fudan University · CNInstitute of Zoology · CNState Key Laboratory of Genetic EngineeringUniversity of Chinese Academy of Sciences · CNChinese Academy of Sciences · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among all tissues of the metazoa, the transcritpome of testis displays the highest diversity and specificity. However, its composition and dynamics during spermatogenesis have not been fully understood. Here, we have identified 20,639 message RNAs (mRNAs), 7,168 long non-coding RNAs (lncRNAs) and 15,101 circular RNAs (circRNAs) in mouse spermatogenic cells, and found many of them were specifically expressed in testes. lncRNAs are significantly more testis-specific than mRNAs. At all stages, mRNAs are generally more abundant than lncRNAs, and linear transcripts are more abundant than circRNAs. We showed that the productions of circRNAs and piRNAs were highly regulated instead of random processes. Based on the results of a small-scale functional screening experiment using cultured mouse spermatogonial stem cells, many evolutionarily conserved lncRNAs are likely to play roles in spermatogenesis. Typical classes of transcription factor binding sites are enriched in the promoters of testis-specific m/lncRNA genes. Target genes of CREM and RFX2, 2 key TFs for spermatogenesis, were further validated by using ChIP-chip assays and RNA-seq on RFX2-knockout spermatogenic cells. Our results contribute to the current understanding of the transcriptomic complexity of spermatogenic cells and provide a valuable resource from which many candidate genes may be selected for further functional studies.

Indexed as

circRNAsexpressionlncRNAsmRNAsspermatogenesistestistranscription

Identifiers

PMID27560004
PMCPMC5056783
OpenAlexW2510284858

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.