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Looking for the elusive lung stem cell niche

Overview of attention for article published in Translational Respiratory Medicine, April 2014
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Title
Looking for the elusive lung stem cell niche
Published in
Translational Respiratory Medicine, April 2014
DOI 10.1186/2213-0802-2-7
Pubmed ID
Authors

Ena Ray Banerjee

Abstract

This discourse contains three perspectives on various aspects of Stem Cell Biology and tools available to study and translate into Regenerative Medicine. The lung incessantly faces onslaught of the environment, constantly undergoes oxidative stress, and is an important organ of detoxification. In degenerative diseases and inflammation, the lung undergoes irreversible remodeling that is difficult to therapeutically address and/or transplant a dying tissue. The other difficulty is to study its development and regenerative aspects to best address the aforementioned problems. This perspective therefore addresses- firstly, review of types of stem cells, their pathway of action and models in invertebrate organisms vis-a-vis microenvironment and its dynamics; secondly, stem cells in higher organisms and niche; and lastly data and inference on a novel approach to study stem cell destruction patterns in an injury model and information on putative lung stem cell niche. Stem cells are cryptic cells known to retain certain primitive characteristics making them akin to ancient cells of invertebrates, developmental stages in invertebrates and vertebrates and pliant cells of complex creatures like mammals that demonstrate stimulus-specific behavious, whether to clonally propagate or to remain well protected and hidden within specialized niches, or mobilize and differentiate into mature functionally operative cells to house-keep, repair injury or make new tissues. In lung fibrosis, alveolar epithelium degenerates progressively. In keeping with the goal of regenerative medicine, various models and assays to evaluate long and short term identity of stem cells and their niches is the subject of this perspective. We also report identification and characterization of functional lung stem cells to clarify how stem cell niches counteract this degenerative process. Inferences drawn from this injury model of lung degeneration using a short term assay by tracking side population cells and a long term assay tracking label retaining cells have been presented.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Master 4 22%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 6%
Other 4 22%
Unknown 1 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Medicine and Dentistry 4 22%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Nursing and Health Professions 1 6%
Other 1 6%
Unknown 4 22%
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 28 October 2015.
All research outputs
#18,429,829
of 22,831,537 outputs
Outputs from Translational Respiratory Medicine
#11
of 16 outputs
Outputs of similar age
#163,374
of 225,662 outputs
Outputs of similar age from Translational Respiratory Medicine
#2
of 2 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16 research outputs from this source. They receive a mean Attention Score of 2.6. This one scored the same or higher as 5 of them.
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 225,662 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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.