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Low dose Hsp90 inhibitor 17AAG protects neural progenitor cells from ischemia induced death

Overview of attention for article published in Journal of Cell Communication and Signaling, October 2014
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Title
Low dose Hsp90 inhibitor 17AAG protects neural progenitor cells from ischemia induced death
Published in
Journal of Cell Communication and Signaling, October 2014
DOI 10.1007/s12079-014-0247-5
Pubmed ID
Authors

Eric Bradley, Xiaying Zhao, Rebecca Wang, Darrell Brann, Erhard Bieberich, Guanghu Wang

Abstract

Stress adaptation effect provides cell protection against ischemia induced apoptosis. Whether this mechanism prevents other types of cell death in stroke is not well studied. This is an important question for regenerative medicine to treat stroke since other types of cell death such as necrosis are also prominent in the stroke brain apart from apoptosis. We report here that treatment with 17-N-Allylamino-17-demethoxygeldanamycin (17AAG), an Hsp90 inhibitor, protected neural progenitor cells (NPCs) against oxygen glucose deprivation (OGD) induced cell death in a dose dependent fashion. Cell death assays indicated that 17AAG not only ameliorated apoptosis, but also necrosis mediated by OGD. This NPC protection was confirmed by exposing cells to oxidative stress, a major stress signal prevalent in the stroke brain. Mechanistic studies demonstrated that 17AAG activated PI3K/Akt and MAPK cell protective pathways. More interestingly, these two pathways were activated in vivo by 17AAG and 17AAG treatment reduced infarct volume in a middle cerebral artery occlusion (MCAO) stroke model. These data suggest that 17AAG protects cells against major cell death pathways and thus might be used as a pharmacological conditioning agent for regenerative medicine for stroke.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 33%
Student > Ph. D. Student 2 13%
Student > Postgraduate 2 13%
Researcher 2 13%
Student > Doctoral Student 1 7%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Medicine and Dentistry 5 33%
Neuroscience 3 20%
Biochemistry, Genetics and Molecular Biology 2 13%
Agricultural and Biological Sciences 1 7%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2014.
All research outputs
#20,241,019
of 22,768,097 outputs
Outputs from Journal of Cell Communication and Signaling
#207
of 266 outputs
Outputs of similar age
#212,289
of 254,033 outputs
Outputs of similar age from Journal of Cell Communication and Signaling
#7
of 9 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 266 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 254,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.