↓ Skip to main content

Somatic Stem Cells

Overview of attention for book
Cover of 'Somatic Stem Cells'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Update on the Therapeutic Potential of Stem Cells
  3. Altmetric Badge
    Chapter 2 Single-Step Plasmid Based Reprogramming of Human Dermal Fibroblasts to Induced Neural Stem Cells
  4. Altmetric Badge
    Chapter 3 Isolation and Analysis of Mesenchymal Progenitors of the Adult Hematopoietic Niche
  5. Altmetric Badge
    Chapter 4 Identification and Isolation of Mice and Human Hematopoietic Stem Cells
  6. Altmetric Badge
    Chapter 5 Identification and Characterization of Hair Follicle Stem Cells
  7. Altmetric Badge
    Chapter 6 Methods of Mesenchymal Stem Cell Homing to the Blood–Brain Barrier
  8. Altmetric Badge
    Chapter 7 3D Bioprinting and Stem Cells
  9. Altmetric Badge
    Chapter 8 Characterization of Gastrospheres Using 3D Coculture System
  10. Altmetric Badge
    Chapter 9 Markers and Methods to Study Adult Midgut Stem Cells
  11. Altmetric Badge
    Chapter 10 Quantitative Analysis of Intestinal Stem Cell Dynamics Using Microfabricated Cell Culture Arrays
  12. Altmetric Badge
    Chapter 11 Detection, Labeling, and Culture of Lung Stem and Progenitor Cells
  13. Altmetric Badge
    Chapter 12 Isolation, Characterization and Differentiation of Mouse Cardiac Progenitor Cells
  14. Altmetric Badge
    Chapter 13 Isolating and Characterizing Adipose-Derived Stem Cells
  15. Altmetric Badge
    Chapter 14 Enzyme-Free Isolation of Adipose-Derived Mesenchymal Stem Cells
  16. Altmetric Badge
    Chapter 15 Identification and Characterizations of Annulus Fibrosus-Derived Stem Cells
  17. Altmetric Badge
    Chapter 16 Maintenance of Tendon Stem/Progenitor Cells in Culture
  18. Altmetric Badge
    Chapter 17 Intravital Imaging to Understand Spatiotemporal Regulation of Osteogenesis and Angiogenesis in Cranial Defect Repair and Regeneration
  19. Altmetric Badge
    Chapter 18 Beating Heart Cells from Hair-Follicle-Associated Pluripotent (HAP) Stem Cells
  20. Altmetric Badge
    Chapter 19 Generation of FLIP and FLIP-FlpE Targeting Vectors for Biallelic Conditional and Reversible Gene Knockouts in Mouse and Human Cells
  21. Altmetric Badge
    Chapter 20 Analytical Platforms and Techniques to Study Stem Cell Metabolism
Attention for Chapter 20: Analytical Platforms and Techniques to Study Stem Cell Metabolism
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Analytical Platforms and Techniques to Study Stem Cell Metabolism
Chapter number 20
Book title
Somatic Stem Cells
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8697-2_20
Pubmed ID
Book ISBNs
978-1-4939-8696-5, 978-1-4939-8697-2
Authors

Christine Tang, Kevin Chen, Aleksandar Bajic, William T. Choi, Dodge L. Baluya, Mirjana Maletic-Savatic, Tang, Christine, Chen, Kevin, Bajic, Aleksandar, Choi, William T., Baluya, Dodge L., Maletic-Savatic, Mirjana

Abstract

Over the past decade, advances in systems biology or 'omics techniques have enabled unprecedented insights into the biological processes that occur in cells, tissues, and on the organism level. One of these technologies is the metabolomics, which examines the whole content of the metabolites in a given sample. In a biological system, a stem cell for instance, there are thousands of single components, such as genes, RNA, proteins, and metabolites. These multiple molecular species interact with each other and these interactions may change over the life-time of a cell or in response to specific stimuli, adding to the complexity of the system. Using metabolomics, we can obtain an instantaneous snapshot of the biological status of a cell, tissue, or organism and gain insights on the pattern(s) of numerous analytes, both known and unknown, that result because of a given biological condition. Here, we outline the main methods to study the metabolism of stem cells, including a relatively recent technology of mass spectrometry imaging. Given the abundant and increasing interest in stem cell metabolism in both physiological and pathological conditions, we hope that this chapter will provide incentives for more research in these areas to ultimately reach wide network of applications in biomedical, pharmaceutical, and nutritional research and clinical medicine.

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 55%
Researcher 1 9%
Unknown 4 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Medicine and Dentistry 2 18%
Energy 1 9%
Earth and Planetary Sciences 1 9%
Neuroscience 1 9%
Other 1 9%
Unknown 3 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 10 September 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from Methods in molecular biology
#9,978
of 13,208 outputs
Outputs of similar age
#293,073
of 336,598 outputs
Outputs of similar age from Methods in molecular biology
#187
of 247 outputs
Altmetric has tracked 23,103,436 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 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. 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 336,598 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 247 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.