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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Single-cell sequencing applications in acute myeloid leukemia.

Nicolas Lecornec^1,2, Matthieu Duchmann^1,3, Raphael Itzykson^1,4

¹Génomes, Biologie Cellulaire et Thérapeutique U944, INSERM, CNRS, Université Paris Cité, Paris, France.

Leukemia & Lymphoma

|November 4, 2024

Summary

Single-cell sequencing reveals the complex heterogeneity within acute myeloid leukemia (AML), offering new insights into leukemic stem cells and clonal evolution. This technology promises to enhance AML diagnosis and patient management in clinical practice.

Keywords:

Single-cell acute myeloid leukemia clonal architecture clonal evolution leukemic microenvironment leukemic stem cells

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Area of Science:

Hematology
Genomics
Cancer Biology

Background:

Acute myeloid leukemia (AML) is a complex blood cancer characterized by significant patient-to-patient and within-patient heterogeneity.
Existing bulk sequencing methods have limitations in fully capturing the intricate genetic and phenotypic diversity of AML.
Understanding AML heterogeneity is crucial for improving patient prognosis and treatment strategies.

Purpose of the Study:

To review advancements in single-cell sequencing technologies applicable to AML research.
To discuss how single-cell analyses elucidate intra-leukemic heterogeneity, including leukemic stem cells and clonal evolution.
To explore the potential clinical implementation of single-cell technologies for improved AML patient management.

Main Methods:

Review of recent single-cell sequencing technologies, covering cell processing and bioinformatics.
Analysis of published studies utilizing single-cell sequencing to investigate AML heterogeneity.
Discussion of applications in identifying leukemic stem cells, tracking clonal evolution, and monitoring measurable residual disease (MRD).

Main Results:

Single-cell sequencing provides unprecedented resolution into the genetic and functional heterogeneity of AML.
These technologies aid in characterizing leukemic stem cells and understanding their role in disease progression.
Single-cell data offers improved insights into clonal architecture and dynamics within individual patients.
Applications in monitoring measurable residual disease (MRD) show promise for more sensitive detection.

Conclusions:

Single-cell sequencing is a transformative tool for dissecting AML complexity.
It enhances understanding of leukemic stem cells, clonal evolution, and MRD.
Implementation in clinical practice could significantly improve acute myeloid leukemia patient management and outcomes.