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Updated: Aug 4, 2025

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
Published on: November 3, 2018
Discrepancy in transcriptomic profiling between CD34 + stem cells and primary bone marrow cells in myelodysplastic
Howard Lopes Ribeiro Junior1, Paola Gyuliane Gonçalves2, Daniel Antunes Moreno3
1Center for Research and Drug Development (NPDM), Federal University of Ceara, Fortaleza, Ceara, Brazil; Post-Graduate Program in Translational Medicine, Federal University of Ceara, Fortaleza, Ceara, Brazil; Post-Graduate Program of Pathology, Federal University of Ceara, Fortaleza, Ceara, Brazil.
This study analyzed gene expression in Myelodysplastic Neoplasm (MDS) patients. It identified distinct gene expression patterns in hematopoietic stem cells (HSC) and bone marrow cells, offering new biomarkers for MDS.
Area of Science:
- Genomics
- Molecular Biology
- Hematology
Background:
- Myelodysplastic Neoplasms (MDS) are complex hematologic disorders.
- Identifying reliable biomarkers for MDS diagnosis and treatment is challenging.
- Understanding gene expression differences in key cell types is crucial for MDS pathogenesis.
Discussion:
- This study performed an in-silico transcriptome analysis of CD34+ HSC and PBMC from 1092 MDS patients.
- It investigated the divergences in differential gene expression patterns between these two cell types.
- The analysis aimed to identify potential pathogenic biomarkers for MDS.
Key Insights:
- A significant difference of 7117 expressed transcripts was observed between PBMC and CD34+ HSC.
- 240 DEGs were identified in CD34+ HSC, while 2948 DEGs were found in PBMC.
- Despite disparities, both cell types showed similarities in activated pathways via Gene Ontology and KEGG analyses.
Outlook:
- The findings offer novel insights into DEGs biomarkers for MDS pathogenesis.
- These biomarkers may have clinical significance for MDS diagnosis and monitoring.
- Further research can explore the functional roles of these identified DEGs in MDS progression.
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