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Cell-Based Microarrays

Overview of attention for book
Cover of 'Cell-Based Microarrays'

Table of Contents

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    Book Overview
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    Chapter 1 Next-Generation Live-Cell Microarray Technologies
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    Chapter 2 Cell-Based Microarrays Using Superhydrophobic Platforms Patterned with Wettable Regions
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    Chapter 3 3D Plasma Nanotextured ® Polymeric Surfaces for Protein or Antibody Arrays, and Biomolecule and Cell Patterning
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    Chapter 4 Single Cell Microarrays Fabricated by Microscale Plasma-Initiated Protein Patterning ( μ PIPP)
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    Chapter 5 Artificial Microniche Array with Spatially Structured Biochemical Cues
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    Chapter 6 Three-Dimensional Cell-Based Microarrays: Printing Pluripotent Stem Cells into 3D Microenvironments
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    Chapter 7 Fabrication of Biomolecule Microarrays for Cell Immobilization Using Automated Microcontact Printing
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    Chapter 8 Hydrogel Printing Based on UV-Induced Projection for Cell-Based Microarray Fabrication
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    Chapter 9 Inkjet Printing for Biomedical Applications
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    Chapter 10 High-Throughput Screening of Senescence Markers in Hematopoietic Stem Cells Derived from Induced Pluripotent Stem Cells
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    Chapter 11 Primary and Stem Cell Microarrays: Application as Miniaturized Biotesting Systems
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    Chapter 12 Fabrication of Multielectrode Arrays for Neurobiology Applications
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    Chapter 13 Rapid Prototyping of Thermoplastic Microfluidic Devices
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    Chapter 14 Fabrication of Biomolecule Microarrays Using Rapid Photochemical Surface Patterning in Thiol–Ene-Based Microfluidic Devices
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    Chapter 15 Fabrication and Operation of Microfluidic Hanging-Drop Networks
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    Chapter 16 A Microfluidic Droplet Array System for Cell-Based Drug Combination Screening
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    Chapter 17 Establishment of Microfluidic Spheroid Cultures for Biomedical Applications
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    Chapter 18 Capillary Pinning Assisted Patterning of Cell-Laden Hydrogel Microarrays in Microchips
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    Chapter 19 Oxygen-Generating Photocrosslinkable Hydrogel
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    Chapter 20 A Self-Assembled Antifouling Nano-Biointerface for the Generation of Spheroids
Attention for Chapter 10: High-Throughput Screening of Senescence Markers in Hematopoietic Stem Cells Derived from Induced Pluripotent Stem Cells
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Chapter title
High-Throughput Screening of Senescence Markers in Hematopoietic Stem Cells Derived from Induced Pluripotent Stem Cells
Chapter number 10
Book title
Cell-Based Microarrays
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7792-5_10
Pubmed ID
Book ISBNs
978-1-4939-7791-8, 978-1-4939-7792-5
Authors

Shyam Sushama Jose, Kamila Bendickova, Jan Fric, Jose, Shyam Sushama, Bendickova, Kamila, Fric, Jan

Abstract

The successful development and characterization of human induced pluripotent stem cells (iPSCs) provides a powerful tool to study the molecular mechanisms that control cell fate decisions and differentiation toward distinct lineages. Here we focus on the ability of donors derived iPSCs to differentiate toward hematopoietic progenitor cells and on the analysis of their telomere length. The ability to screen telomere length in individual donors is important for defining cellular senescence, which correlates with their differentiation potential toward hematopoietic lineages. We have modified iPSC culture protocol and telomere length analysis to suit for high throughput screening of telomere length in large number of individual donors. This approach can be used to demonstrate the heterogeneity or changes of telomere length and its shortening as an exclusion criterion for selection of suitable donors for future stem cell therapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Bachelor 2 20%
Student > Master 2 20%
Professor 1 10%
Student > Doctoral Student 1 10%
Other 1 10%
Readers by discipline Count As %
Immunology and Microbiology 3 30%
Biochemistry, Genetics and Molecular Biology 2 20%
Medicine and Dentistry 2 20%
Agricultural and Biological Sciences 2 20%
Nursing and Health Professions 1 10%
Other 0 0%
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 11 April 2018.
All research outputs
#13,355,661
of 23,041,514 outputs
Outputs from Methods in molecular biology
#3,498
of 13,194 outputs
Outputs of similar age
#213,917
of 442,409 outputs
Outputs of similar age from Methods in molecular biology
#328
of 1,499 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 442,409 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 1,499 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.