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Characterization of neural stemness status through the neurogenesis process for bone marrow mesenchymal stem cells

Overview of attention for article published in Stem cells and cloning advances and applications, April 2016
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Title
Characterization of neural stemness status through the neurogenesis process for bone marrow mesenchymal stem cells
Published in
Stem cells and cloning advances and applications, April 2016
DOI 10.2147/sccaa.s94545
Pubmed ID
Authors

Maeda H Mohammad, Ahmed M Al-shammari, Ahmad Adnan Al-Juboory, Nahi Y Yaseen

Abstract

The in vitro isolation, identification, differentiation, and neurogenesis characterization of the sources of mesenchymal stem cells (MSCs) were investigated to produce two types of cells in culture: neural cells and neural stem cells (NSCs). These types of stem cells were used as successful sources for the further treatment of central nervous system defects and injuries. The mouse bone marrow MSCs were used as the source of the stem cells in this study. β-Mercaptoethanol (BME) was used as the main inducer of the neurogenesis pathway to induce neural cells and to identify NSCs. Three types of neural markers were used: nestin as the immaturation stage marker, neurofilament light chain as the early neural marker, and microtubule-associated protein 2 as the maturation marker through different time intervals in the neurogenesis process starting from the MSCs, (as undifferentiated cells), NSCs, production stages, and toward neuron cells (as differentiated cells). The results of different exposure times to BME of the neural markers analysis done by immunocytochemistry and real time-polymerase chain reaction helped us to identify the exact timing for the neural stemness state. The results showed that the best exposure time that may be used for the production of NSCs was 6 hours. The best maintenance media for NSCs were also identified. Furthermore, we optimized exposure to BME with different times and concentrations, which could be an interesting way to modulate specific neuronal differentiation and obtain autologous neuronal phenotypes. This study was able to characterize NSCs in culture under differentiation for neurogenesis in the pathway of the neural differentiation process by studying the expressed neural genes and the ability to maintain these NSCs in culture for further differentiation in thousands of functional neurons for the treatment of brain and spinal cord injuries and defects.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iraq 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 23%
Student > Master 5 14%
Student > Ph. D. Student 4 11%
Student > Postgraduate 3 9%
Researcher 2 6%
Other 4 11%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 20%
Medicine and Dentistry 6 17%
Agricultural and Biological Sciences 5 14%
Neuroscience 3 9%
Arts and Humanities 1 3%
Other 2 6%
Unknown 11 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 September 2016.
All research outputs
#14,913,921
of 25,373,627 outputs
Outputs from Stem cells and cloning advances and applications
#36
of 69 outputs
Outputs of similar age
#154,384
of 314,719 outputs
Outputs of similar age from Stem cells and cloning advances and applications
#1
of 2 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 69 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 46th percentile – i.e., 46% 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 314,719 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them