AIMC Topic: Hematopoietic Stem Cells
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Distinguishing three subtypes of hematopoietic cells based on gene expression profiles using a support vector machine.
Biochimica et biophysica acta. Molecular basis of disease
Dec 12, 2017
Hematopoiesis is a complicated process involving a series of biological sub-processes that lead to the formation of various blood components. A widely accepted model of early hematopoiesis proceeds from long-term hematopoietic stem cells (LT-HSCs) to...
Prospective identification of hematopoietic lineage choice by deep learning.
Nature methods
Feb 20, 2017
Differentiation alters molecular properties of stem and progenitor cells, leading to changes in their shape and movement characteristics. We present a deep neural network that prospectively predicts lineage choice in differentiating primary hematopoi...
Consistent quantitative gene product expression: #3. Invariance with age.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Oct 18, 2016
The quantitative expression of cell surface antigens and light scattering properties of five cellular reference populations in stressed bone marrow specimens were compared between pediatric and adult patients treated for acute myeloid leukemia (AML)....
Consistent quantitative gene product expression: #2. Antigen intensities on bone marrow cells are invariant between individuals.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Oct 18, 2016
Five reference populations in bone marrow specimens were identified by flow cytometry using specific combinations of reagents in order define the variation of gene product expression intensities both within and between individuals. Mature lymphocytes...
Consistent quantitative gene product expression: #1. Automated identification of regenerating bone marrow cell populations using support vector machines.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Jul 14, 2016
Identification and quantification of maturing hematopoietic cell populations in flow cytometry data sets is a complex and sometimes irreproducible step in data analysis. Supervised machine learning algorithms present promise to automatically classify...
Leukaemia Stem Cells and Their Normal Stem Cell Counterparts Are Morphologically Distinguishable by Artificial Intelligence.
Journal of cellular and molecular medicine
May 1, 2025
Leukaemia stem cells (LSCs) are a rare population among the bulk of leukaemia cells and are responsible for disease initiation, progression/relapse and insensitivity to therapies in numerous haematologic malignancies. Identification of LSCs and monit...
Spatial mapping of human hematopoiesis at single-cell resolution reveals aging-associated topographic remodeling.
Blood
Dec 28, 2023
The spatial anatomy of hematopoiesis in the bone marrow (BM) has been extensively studied in mice and other preclinical models, but technical challenges have precluded a commensurate exploration in humans. Institutional pathology archives contain tho...
Single-cell analyses and machine learning define hematopoietic progenitor and HSC-like cells derived from human PSCs.
Blood
Dec 17, 2020
Hematopoietic stem and progenitor cells (HSPCs) develop in distinct waves at various anatomical sites during embryonic development. The in vitro differentiation of human pluripotent stem cells (hPSCs) recapitulates some of these processes; however, i...
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