Evidence map›Paper›PMID 22084680›Full record

ArticleInternational journal of proteomics2010

Comparative proteomic analysis of proteins involved in the tumorigenic process of seminal vesicle carcinoma in transgenic mice.

Wei-Chao Chang, Chuan-Kai Chou, Chih-Chiang Tsou, Sheng-Hsiang Li, Chein-Hung Chen, Yu-Xing Zhuo, Wen-Lian Hsu, Chung-Hsuan Chen

Open access · hybridAbstract read
In one paragraph

Article in International journal of proteomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. A single cell atlas of the mouse seminal vesicle.bioRxiv : the preprint server for biology · 2024
    Article
  3. Article
  4. Social status and ejaculate composition in the house mouse.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  5. Article
  6. 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

8 authors at 5 institutions in 1 country.

Wei-Chao ChangGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Chuan-Kai Chou
Chih-Chiang Tsou
Sheng-Hsiang Li
Chein-Hung Chen
Yu-Xing Zhuo
Wen-Lian Hsu
Chung-Hsuan Chen
Institute of Information Science, Academia Sinica · TWNational Applied Research Laboratories · TWNational Taiwan University · TWGenomics Research Center, Academia Sinica · TWMackay Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied the seminal vesicle secretion (SVS) of transgenic mice by using one-dimensional gel electrophoresis combined with LTQ-FT ICR MS analysis to explore protein expression profiles. Using unique peptide numbers as a cut-off criterion, 79 proteins were identified with high confidence in the SVS proteome. Label-free quantitative analysis was performed by using the IDEAL_Q software program. Furthermore, western blot assays were performed to validate the expression of seminal vesicle proteins. Sulfhydryl oxidase 1, glia-derived nexin, SVS1, SVS3, and SVS6 showed overexpression in SVS during cancer development. With high sequence similarity to human semenogelin, SVS2 is the most abundance protein in SVS and is dramatically decreased during the tumorigenic process. Our results indicate that these protein candidates could serve as potential targets for monitoring seminal vesicle carcinoma. Moreover, this information can provide clues for investigating seminal vesicle secretion-containing seminal plasma for related human diseases.

Identifiers

PMID22084680
PMCPMC3200205
OpenAlexW2075123771

What OpenQuestion holds

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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.