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High Dimensional Functionomic Analysis of Human Hematopoietic Stem and Progenitor Cells at a Single Cell Level.
Luh, Thomas; Lucero, Kimberly; Ma, Wenji; Lee, Jaeyop; Zhou, Yu Jerry; Shen, Yufeng; Liu, Kang.
Affiliation
  • Luh T; Department of Microbiology and Immunology, Columbia University Medical Center, New York, New York, USA.
  • Lucero K; Department of Microbiology and Immunology, Columbia University Medical Center, New York, New York, USA.
  • Ma W; Department of Systems Biology and Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA.
  • Lee J; Department of Microbiology and Immunology, Columbia University Medical Center, New York, New York, USA.
  • Zhou YJ; Department of Microbiology and Immunology, Columbia University Medical Center, New York, New York, USA.
  • Shen Y; Department of Systems Biology and Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA.
  • Liu K; Department of Microbiology and Immunology, Columbia University Medical Center, New York, New York, USA.
Bio Protoc ; 8(10): e2851, 2018 May 20.
Article in En | MEDLINE | ID: mdl-34285968
ABSTRACT
The ability to conduct investigation of cellular transcription, signaling, and function at the single-cell level has opened opportunities to examine heterogeneous populations at unprecedented resolutions. Although methods have been developed to evaluate high-dimensional transcriptomic and proteomic data (relating to cellular mRNA and protein), there has not been a method to evaluate corresponding high-dimensional functionomic data (relating to cellular functions) from single cells. Here, we present a protocol to quantitatively measure the differentiation potentials of single human hematopoietic stem and progenitor cells, and then cluster the cells according to these measurements. High dimensional functionomic analysis of cell potential allows cell function to be linked to molecular mechanisms within the same progenitor population.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Bio Protoc Year: 2018 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Bio Protoc Year: 2018 Document type: Article Affiliation country: Estados Unidos