Evidence map›Paper›PMID 18758993›Full record

ArticleMolecular biology reports2009

Utilization of an intron located polyadenlyation site resulted in four novel glutamate decarboxylase transcripts.

Haixiong Liu, Zhiqiang Wang, Shifeng Li, Yunbin Zhang, Yuan-Chang Yan, Yi-ping Li

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Serum biomarkers for diagnosis and prediction of type 1 diabetes.Translational research : the journal of laboratory and clinical medicine · 2018
    Review
  3. Article
  4. Review
  5. Article
  6. Review
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

6 authors at 4 institutions in 1 country.

Haixiong LiuShanghai Key Laboratory for Molecular Andrology, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Yue Yang Road, Shanghai, 200031, China.
Zhiqiang Wang
Shifeng Li
Yunbin Zhang
Yuan-Chang Yan
Yi-ping Li
Center for Excellence in Molecular Cell Science · CNShanghai Institutes for Biological Sciences · CNChinese Academy of Sciences · CNEast China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glutamate decarboxylase (GAD) is the rate-limiting enzyme in the synthesis of gamma-aminobutyric acid (GABA), the most important inhibitory neurotransmitter in central nervous system (CNS). Two homologous forms of GAD encoded by separate genes have been identified in mammalian brain, with molecular weight of 65 kDa (GAD65) and 67 kDa (GAD67). In the present study, four novel GAD67 transcripts produced by alternative splicing and polyadenlyation were cloned from rat testis. These novel GAD67 transcripts were widely expressed in non-neuronal tissues. During rat testis maturation, their expression level showed a time dependent change. These transcripts were predicted to synthesis of GAD proteins truncated of the binding site for pyridoxal phosphate, an essential cofactor, therefore cannot function as a decarboxylase. Thus, post-transcriptional processing mechanism as alternative splicing and polyadenlyation may play a crucial role in regulating rat GAD67 gene expression.

Indexed as

Gene Expression Regulation, DevelopmentalIntronsAlternative SplicingAnimalsBinding SitesBrainGlutamate DecarboxylaseMalePolyadenylationPyridoxal PhosphateRatsRNA, MessengerTestisGlutamate DecarboxylasePyridoxal PhosphateRNA, Messenger

Identifiers

PMID18758993
OpenAlexW2027838233

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.