↓ Skip to main content

Erythropoiesis

Overview of attention for book
Cover of 'Erythropoiesis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to Erythropoiesis Approaches
  3. Altmetric Badge
    Chapter 2 Using the Zebrafish as an Approach to Examine the Mechanisms of Vertebrate Erythropoiesis
  4. Altmetric Badge
    Chapter 3 Mouse Models of Erythropoiesis and Associated Diseases
  5. Altmetric Badge
    Chapter 4 Dissecting Regulatory Mechanisms Using Mouse Fetal Liver-Derived Erythroid Cells
  6. Altmetric Badge
    Chapter 5 Stress Erythropoiesis Model Systems
  7. Altmetric Badge
    Chapter 6 Approaches for Analysis of Erythroid Cell Parameters and Hemoglobinopathies in Mouse Models
  8. Altmetric Badge
    Chapter 7 Functional Analysis of Erythroid Progenitors by Colony-Forming Assays
  9. Altmetric Badge
    Chapter 8 Analyzing the Formation, Morphology, and Integrity of Erythroblastic Islands
  10. Altmetric Badge
    Chapter 9 Flow Cytometry (FCM) Analysis and Fluorescence-Activated Cell Sorting (FACS) of Erythroid Cells
  11. Altmetric Badge
    Chapter 10 Analysis of Erythropoiesis Using Imaging Flow Cytometry
  12. Altmetric Badge
    Chapter 11 Flow Cytometric Analysis of Erythroblast Enucleation
  13. Altmetric Badge
    Chapter 12 High-Resolution Fluorescence Microscope Imaging of Erythroblast Structure
  14. Altmetric Badge
    Chapter 13 Chromatin Immunoprecipitation (ChIP) with Erythroid Samples
  15. Altmetric Badge
    Chapter 14 Chromosome Conformation Capture (3C and Higher) with Erythroid Samples
  16. Altmetric Badge
    Chapter 15 Genome Editing of Erythroid Cell Culture Model Systems
  17. Altmetric Badge
    Chapter 16 In Vitro Erythroid Differentiation and Lentiviral Knockdown in Human CD34+ Cells from Umbilical Cord Blood
  18. Altmetric Badge
    Chapter 17 Growing and Genetically Manipulating Human Umbilical Cord Blood-Derived Erythroid Progenitor (HUDEP) Cell Lines
  19. Altmetric Badge
    Chapter 18 Good Manufacturing Practice (GMP) Translation of Advanced Cellular Therapeutics: Lessons for the Manufacture of Erythrocytes as Medicinal Products
Attention for Chapter 16: In Vitro Erythroid Differentiation and Lentiviral Knockdown in Human CD34+ Cells from Umbilical Cord Blood
Altmetric Badge

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 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
In Vitro Erythroid Differentiation and Lentiviral Knockdown in Human CD34+ Cells from Umbilical Cord Blood
Chapter number 16
Book title
Erythropoiesis
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7428-3_16
Pubmed ID
Book ISBNs
978-1-4939-7427-6, 978-1-4939-7428-3
Authors

Anna Kovilakath, Safa Mohamad, Farrah Hermes, Shou Zhen Wang, Gordon D. Ginder, Joyce A. Lloyd

Abstract

Human umbilical cord blood is a rich source of hematopoietic stem and progenitor cells. CD34+ cells in umbilical cord blood are more primitive than those in peripheral blood or bone marrow, and can proliferate at a high rate and differentiate into multiple cell types. In this protocol, a dependable method is described for the isolation of fetal CD34+ cells from umbilical cord blood and expanding these cells in culture. The cells can then be in vitro differentiated along an erythroid pathway, while simultaneously performing knockdown of a gene of choice. The use of lentiviral vectors that express small hairpin RNA (shRNA) is an efficient method to downregulate genes. Flow cytometric analyses are used to enrich for erythroid cells. Using these methods, one can generate in vitro differentiated cells to use for quantitative reverse transcriptase PCR and other purposes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 3 25%
Student > Bachelor 1 8%
Student > Master 1 8%
Other 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 33%
Medicine and Dentistry 2 17%
Social Sciences 1 8%
Immunology and Microbiology 1 8%
Unknown 4 33%