HCA Data Explorer

Single-cell analysis of childhood leukemia reveals a link between developmental states and ribosomal protein expression as a source of intra-individual heterogeneity

Updated November 3, 2022

Childhood acute lymphoblastic leukemia (cALL) is the most common pediatric cancer. It is characterized by bone marrow lymphoid precursors that acquire genetic alterations, resulting in disrupted maturation and uncontrollable proliferation. More than a dozen molecular subtypes of variable severity can be used to classify cALL cases. Modern therapy protocols currently cure 85-90% of cases, but other patients are refractory or will relapse and eventually succumb to their disease. To better understand these difficult cases, we investigated the nature and extent of intra-individual transcriptional heterogeneity of cALL at the cellular level by sequencing the transcriptomes of 39,375 individual cells in eight patients (six pre-B and two pre-T) and three healthy pediatric controls. We observed intra-individual transcriptional clusters in five out of the eight patients. Using pseudotime maturation trajectories of healthy B and T cells, we obtained the predicted developmental state of each leukemia cell and observed distribution shifts within patients. We showed that the predicted developmental states of these cancer cells are inversely correlated with ribosomal protein expression levels, which could be a common contributor to intra-individual heterogeneity in cALL patients.

Daniel SinnettCHU Sainte-Justine Research Centerdaniel.sinnett@umontreal.ca
Guillaume BourqueDepartment of Human Genetics, McGill Universityguil.bourque@mcgill.ca
Maxime Caron1
Pascal St-Onge2
Thomas Sontag2
Yu Chang Wang3
Chantal Richer2
Ioannis Ragoussis1
Daniel Sinnett2
Guillaume Bourque1
1Department of Human Genetics, McGill University
2CHU Sainte-Justine Research Center
3McGill Genome Centre
Ami Day

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/1fa8b11f-56fa-45a6-a777-6af70e17a6b3
None
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

Atlas

None

Analysis Portals

None

Project Label

scRNASeqChildhoodLeukaemia

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

bone marrow

Organ Part

Unspecified

Selected Cell Types

mononuclear cell of bone marrow

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

child stage

Library Construction Method

10X 3' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_cell_type_assignment, analysis_protocol_quantification

File Format

4 file formats

Cell Count Estimate

39.4k

Donor Count

11
fastq.gz36 file(s)mtx.gz11 file(s)tsv.gz23 file(s)xlsx1 file(s)