↓ Skip to main content
What is this page? Embed badge

Molecular Dermatology

Overview of attention for book
Cover of 'Molecular Dermatology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Molecular Dermatology Comes of Age
  3. Altmetric Badge
    Chapter 2 Molecular Diagnosis of Autoimmune Blistering Diseases
  4. Altmetric Badge
    Chapter 3 Molecular diagnosis of genodermatoses.
  5. Altmetric Badge
    Chapter 4 Three-Dimensional Visualization of the Molecular Architecture of Cell–Cell Junctions In Situ by Cryo-Electron Tomography of Vitreous Sections
  6. Altmetric Badge
    Chapter 5 3D Visualization of Epidermal Langerhans Cells
  7. Altmetric Badge
    Chapter 6 Molecular Dermatology
  8. Altmetric Badge
    Chapter 7 Optical Imaging of HPV Infection in a Murine Model
  9. Altmetric Badge
    Chapter 8 Laser Scanning Microscopy Approach for Semiquantitation of In Vitro Dermal Particle Penetration
  10. Altmetric Badge
    Chapter 9 Analysis of Cutaneous Somatic Mosaicism
  11. Altmetric Badge
    Chapter 10 Global Proteome Analyses of SILAC-Labeled Skin Cells
  12. Altmetric Badge
    Chapter 11 MicroRNA Profiling During Human Keratinocyte Differentiation Using a Quantitative Real-Time PCR Method
  13. Altmetric Badge
    Chapter 12 Cell Death in the Skin: How to Study Its Quality and Quantity?
  14. Altmetric Badge
    Chapter 13 In Vitro Pathogenicity Assay for Anti-desmoglein Autoantibodies in Pemphigus
  15. Altmetric Badge
    Chapter 14 Induction of Granulocyte-Dependent Dermal-Epidermal Separation by Autoantibodies Ex Vivo
  16. Altmetric Badge
    Chapter 15 Analysis of Collective Invasion of Carcinoma Cells in a 3D Organotypic Model
  17. Altmetric Badge
    Chapter 16 Isolation of melanoma tumor-initiating cells from surgical tissues.
  18. Altmetric Badge
    Chapter 17 Detection, Enumeration, and Characterization of Immune Cells Infiltrating Melanoma Tumors
  19. Altmetric Badge
    Chapter 18 Analysis of Cell Movement Between Skin and Other Anatomical Sites In Vivo Using Photoconvertible Fluorescent Protein “Kaede”-Transgenic Mice
  20. Altmetric Badge
    Chapter 19 Reconstitution of Skin Fibrosis Development Using a Tissue Engineering Approach
  21. Altmetric Badge
    Chapter 20 Bioengineered skin humanized model of psoriasis.
  22. Altmetric Badge
    Chapter 21 Induction of Contact Hypersensitivity in the Mouse Model
  23. Altmetric Badge
    Chapter 22 Generation of Functional Multipotent Keratinocytes from Mouse Induced Pluripotent Stem Cells
  24. Altmetric Badge
    Chapter 23 RNAi-Mediated Gene Function Analysis in Skin
  25. Altmetric Badge
    Chapter 24 Mouse Models of Autoimmune Blistering Diseases Induced by the Passive Transfer of Antibodies
  26. Altmetric Badge
    Chapter 25 Induction of Experimental Epidermolysis Bullosa Acquisita by Immunization with Murine Collagen VII
  27. Altmetric Badge
    Chapter 26 Animal Model for Cutaneous Leishmaniasis
  28. Altmetric Badge
    Chapter 27 Model for Generation of Large Numbers of Primary, Inflammatory Skin-Derived Neutrophils, and Macrophages
  29. Altmetric Badge
    Chapter 28 Zebrafish as a Model System to Study Heritable Skin Diseases
  30. Altmetric Badge
    Chapter 29 Cell- and Protein-Based Therapy Approaches for Epidermolysis Bullosa
  31. Altmetric Badge
    Chapter 30 RNA Trans -Splicing for Genodermatoses
Attention for Chapter 16: Isolation of melanoma tumor-initiating cells from surgical tissues.
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
16 Mendeley
Summary X Dimensions citations
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
Isolation of melanoma tumor-initiating cells from surgical tissues.
Chapter number 16
Book title
Molecular Dermatology
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-227-8_16
Pubmed ID
23325649
Book ISBNs
978-1-62703-226-1, 978-1-62703-227-8
Authors

Boiko AD, Alexander D. Boiko

Abstract

A new model of cancer progression has been put forward that predicts existence of tumor stem cells (TSCs) in the heterogeneous bulk tumor mass that self-renew, are resistant to chemo- and radiotherapies, and sustain tumor growth during the course of its progression or relapse (Ailles and Weissman, Curr Opin Biotechnol 18:460-466, 2007; Chan et al., Proc Natl Acad Sci U S A 106:14016-14021, 2009; D'Angelo and Wicha, Prog Mol Biol Transl Sci 95:113-158, 2010; O'Brien, Semin Radiat Oncol 19:71-77, 2009; Park et al., Mol Ther 17:219-230, 2009). Using most advanced methods of cell purification and transplantation, our laboratory and another independent study identified melanoma stem cells as CD271(NFGR/p75)+ cells from surgical human specimens (Boiko et al., Nature 466:133-137, 2010; Civenni et al., Cancer Res 71:3098-3109, 2011). Here we describe in great detail an approach for isolating tumor-initiating cells from freshly resected melanomas (Boiko et al., Nature 466:133-137, 2010).

View on publisher site
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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Researcher 3 19%
Student > Master 2 13%
Professor 1 6%
Other 1 6%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Agricultural and Biological Sciences 4 25%
Medicine and Dentistry 3 19%
Immunology and Microbiology 1 6%
Materials Science 1 6%
Other 1 6%
Unknown 2 13%
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 30 January 2013.
All research outputs
#18,327,422
of 22,694,633 outputs
Outputs from Methods in molecular biology
#7,835
of 13,046 outputs
Outputs of similar age
#221,613
of 285,218 outputs
Outputs of similar age from Methods in molecular biology
#223
of 347 outputs
Altmetric has tracked 22,694,633 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 13,046 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 285,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 347 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.