Evidence map›Paper›PMID 22965216›Full record

ArticleJournal of molecular histology2013

Up-regulation of ski-interacting protein in rat brain cortex after traumatic brain injury.

Jian Chen, Hui Mao, Huifei Zou, Wei Jin, Lanchun Ni, Kaifu Ke, Maohong Cao, Wei Shi

Abstract read
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In one paragraph

Article in Journal of molecular histology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Regeneration in the nervous system with erythropoietin.Frontiers in bioscience (Landmark edition) · 2016
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Dynamic change of SGK expression and its role in neuron apoptosis after traumatic brain injury.International journal of clinical and experimental pathology · 2013
    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.

Jian ChenDepartment of Neurosurgery, Hospital of Nantong University, Nantong, Jiangsu, People's Republic of China.
Hui Mao
Huifei Zou
Wei Jin
Lanchun Ni
Kaifu Ke
Maohong Cao
Wei Shi
Affiliated Hospital of Nantong University · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SKIP (Ski-interacting protein), is part of nuclear regulatory complexes and interacts with factors involved in preinitiation, splicing and polyadenylation, potentiates the activity of important transcription factors, involved in an increasing number of signaling cascades. However, its distribution and function in the central nervous system remains poorly understood. In this study, western blot analysis, RT-PCR and immunohistochemistry showed a significant up-regulation of SKIP in ipsilateral peritrauma cortex compared with the sham group. Immunofluorescent labeling indicated that SKIP was localized striking in the neurons, but not astrocytes and oligodendrocytes; co-localization of SKIP and active caspase-3 and PCNA in the ipsilateral cortex. In addition, the expression patterns of active caspase-3 and PCNA were parallel with that of SKIP. Based on our data, we speculated that SKIP might play an important role in neuronal apoptosis following TBI; and might provide a basis for the further study on its role in cell cycle re-entry in traumatic brain injury.

Indexed as

Up-RegulationAnimalsBrain InjuriesCaspase 3Cell CycleCerebral CortexDisease Models, AnimalMaleNeuronsRatsTime FactorsTranscription FactorsCaspase 3SKIP protein, ratTranscription Factors

Identifiers

PMID22965216
OpenAlexW2017025871

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.