Evidence map›Paper›PMID 29348872›Full record

ArticleOncotarget2017

Gene expression profiling reveals U1 snRNA regulates cancer gene expression.

Zhi Cheng, Yu Sun, Xiaoran Niu, Yingchun Shang, Jishou Ruan, Ze Chen, Shan Gao, Tao Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. An antisense method for efficient exon skipping and its application to Duchenne muscular dystrophy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Breast Cancer and the Other Non-Coding RNAs.International journal of molecular sciences · 2021
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. 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.

Zhi Cheng *College of Life Sciences and Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, Tianjin 300071, P.R. China.
Yu Sun *College of Life Sciences and Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, Tianjin 300071, P.R. China.
Xiaoran NiuCollege of Life Sciences and Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, Tianjin 300071, P.R. China.
Yingchun ShangCollege of Life Sciences and Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, Tianjin 300071, P.R. China.
Jishou RuanSchool of Mathematical Sciences, Nankai University, Tianjin 300071, P.R. China.
Ze ChenState Key Laboratory of Veterinary Etiological Biology and Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Science, Lanzhou, Gansu 730046, P.R. China.
Shan GaoCollege of Life Sciences and Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, Tianjin 300071, P.R. China.
Tao ZhangCollege of Life Sciences and Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, Tianjin 300071, P.R. China.
Nankai University · CNLanzhou Veterinary Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

U1 small nuclear RNA (U1 snRNA), as one of the most abundant ncRNAs in human cells, plays an important role in splicing of pre-mRNAs. Compared to previous studies which have focused on the primary function of U1 snRNA and the neurodegenerative diseases caused by abnormalities of U1 snRNA, this study is to investigate how U1 snRNA over-expression affects the expression of mammal genes on a genome-wide scale. By comparing the gene expression profiles of U1 snRNA over-expressed cells with those of their controls using microarray experiments, 916 genes or loci were identified significantly Differentially Expressed (DE). These 595 up-regulated DE genes and 321 down-regulated DE genes were analyzed using annotations from GO categories and pathways from the KEGG database. As a result, three of 12 enriched pathways were well-known cancer pathways, while the other nine pathways were associated to cancers in previous studies. The further analysis of 73 genes involved in 12 pathways suggested that U1 snRNA could regulate cancer gene expression. The microarray data under the GEO Series accession number GSE84304 is available in the NCBI GEO database.

Indexed as

cancergene expression profilingmicroarrayover-expressionU1 snRNA

Identifiers

PMID29348872
PMCPMC5762557
OpenAlexW2951493619

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.