CCI

CCI maps single-cell RNA sequencing (scRNA-seq) profiles from bone marrow mononuclear cells (BMMCs) onto a hematopoietic reference to identify healthy counterparts and analyze developmental trajectories in leukemogenesis.


Key Features:

  • Projection of Leukemia Cells: Projects leukemia cells onto a comprehensive hematopoietic reference framework using scRNA-seq data from BMMCs, including analysis of ~200,000 single-cell transcriptomes across 23 clinical samples.
  • Identification of Healthy Counterparts: Identifies distinct healthy counterparts for leukemia cell subpopulations from each patient to link malignant subpopulations to specific normal hematopoietic states.
  • Trajectory Analysis: Compares developmental paths of leukemia cells with their identified healthy counterparts to reveal how developmental termination at distinct phases produces leukemia subpopulations and heterogeneity.
  • Predictive Capabilities: Predicts leukemia subtypes, cellular heterogeneity, and stemness characteristics for individual patients based on mapping to the hematopoietic reference.
  • Dynamic Analysis of Treatment Phases: Analyzes cell population changes across diagnosis, refractory, remission, and relapse phases, and reports that healthy counterparts of relapsed leukemia cells localize closer to the root of the hematopoietic tree.
  • Unified Framework for Leukemogenesis: Integrates leukemogenesis analysis with a hematopoietic reference framework to provide a consistent comparative context for normal and malignant hematopoiesis.

Scientific Applications:

  • Mapping Origins and Progression: Maps leukemia cells to normal hematopoietic states to investigate origins and developmental progression of leukemia subtypes.
  • Characterizing Heterogeneity and Stemness: Assesses intra-patient cellular heterogeneity and stemness properties by comparing malignant subpopulations to healthy counterparts.
  • Treatment-Phase Monitoring: Tracks shifts in cell population composition across diagnosis, refractory, remission, and relapse to study treatment-associated dynamics.
  • Reference Atlas Usage: Uses a detailed hematopoietic reference built from BMMC scRNA-seq to contextualize leukemogenesis research across clinical samples.

Methodology:

Projects leukemia scRNA-seq profiles from BMMCs onto a hematopoietic reference by integrating multiple statistical methods to identify healthy counterparts, compare developmental trajectories, and predict subtypes, heterogeneity, and stemness.

Topics

Details

License:
Apache-2.0
Tool Type:
command-line tool
Programming Languages:
C++
Added:
3/19/2021
Last Updated:
4/22/2021

Operations

Publications

Qin P, Pang Y, Hou W, Fu R, Zhang Y, Wang X, Meng G, Liu Q, Zhu X, Hong N, Cheng T, Jin W. Integrated decoding hematopoiesis and leukemogenesis using single-cell sequencing and its medical implication. Cell Discovery. 2021;7(1). doi:10.1038/s41421-020-00223-4. PMID:33408321. PMCID:PMC7788081.