Webinar

Defining the bone marrow atlas with CITE-seq workflow and high dimensional flow cytometry

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About the webinar

 

 

10x Genomics, Illumina, and BioLegend bring you this webinar featuring Xuan Zhang, PhD, Research Associate, Grimes Research Lab, Cincinnati Children’s Hospital Medical Center.

 

The analysis of the human hematopoietic progenitor compartment is being transformed by single-cell multimodal approaches. Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) enables coupled surface-protein and transcriptome profiling, thereby revealing genomic programs underlying progenitor states. To systematically perform CITE-seq on primary human bone marrow cells, we used titrations with 266 CITE-seq antibodies (ADTs) and machine learning to optimize a panel of 132 antibodies. Multimodal analysis resolved over 80 stem, progenitor, immune, stromal, and transitional cells; defined by distinctive surface markers and transcriptomes. The dataset enabled new flow cytometry solutions for in silico predicted cell states. Integrative analysis of CITE-seq and flow cytometry identified dozens of cell surface markers consistently detected across donors spanning race and sex. Finally, aligning annotations from this atlas, we nominate normal marrow equivalents for acute myeloid leukemia stem cell populations that differ in clinical response. The atlas serves as an advanced digital resource for hematopoietic progenitor analyses in human health and disease.

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