Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • ADVERTISEMENT FEATURE Advertiser retains sole responsibility for the content of this article

Defining the bone marrow atlas with high-dimensional biology via a novel CITE-seq workflow

REGISTER NOW

Curiox Biosystems

Single-cell multimodal approaches and machine learning are transforming analysis of the human hematopoietic progenitor compartment. Cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) enables coupled surface protein and transcriptome profiling, revealing genomic programs underlying progenitor states.

This webcast will present groundbreaking work establishing a high-resolution human bone marrow single-cell atlas using paired CITE-seq and flow cytometry, offering an integrated genomic, bioinformatics and flow cytometric resource for diverse hematopoietic progenitor cell states in human health and disease.

The new study systematically performed CITE-seq on primary human bone marrow cells using titrations with 266 antibody derived tags (ADTs) to develop a custom, 132-plex optimized cocktail. Curiox Laminar Wash technology streamlined ADT and hashtag antibody staining/washing with great reproducibility and minimal background.

Applying the optimized cocktail on expanded cohorts revealed over 80 distinct cell types, including stem, progenitor, immune and stromal cells defined by distinctive surface markers and transcriptomes. Laminar Wash Direct Reading Grid empowered high throughput full-spectrum cytometry profiling the same 132 surface markers in parallel with CITE-seq, and collaboratively nominated novel and known markers to segregate transitional cell states.

Integrative analysis of CITE-seq and flow cytometry identified dozens of markers consistently detected across donors spanning race and sex. Aligning annotations from this atlas nominated normal marrow equivalents for acute myeloid leukemia stem cell populations that differ in clinical response.

Learn:

• The process and benefits of using CITE-seq and high-dimensional flow cytometry techniques on bone marrow samples

• How to best process samples to optimize ADT and hashtag antibody staining/washing

• How to achieve purer cells in a sorting gate using differential markers

Unable to join the live event? Watch on demand. Register now to ensure that you receive information on how to gain access after the live event.

This webcast has been produced by Curiox Biosystems, who retains sole responsibility for the content. About this content.

Speaker

Xuan Zhang, Research Fellow, Cincinnati Childrens Hospital Medical Center

Xuan Zhang

Xuan Zhang, PhD, is a Researcher at the Department of Immunobiology, Cincinnati Children’s Hospital Medical Center. Focusing on hematopoietic stem and progenitor cells, Dr. Zhang uses a variety of techniques to dissect their epigenetic, transcriptional, and protein expression profiles, revealing insights into their development and involvement in health and disease. His oncological discoveries include unveiling disease mechanisms in MDS and AML, as well as testing new drug efficacies. His current work aims to identify and isolate crucial transitional states within hematopoiesis and malignancies, paving the way for future therapeutic interventions.

Moderator

Nikki Forrester, Freelance Science Writer and Editor

Moderator Nikki Forrester

Nikki Forrester is a science journalist who covers biology, natural history, climate, and the culture of academic research. She earned a PhD in ecology and evolutionary biology in 2019.

Subjects

Latest on:

Search

Quick links