Discrepancy in transcriptomic profiling between CD34 + stem cells and primary bone marrow cells in myelodysplastic neoplasm

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dc.contributor.authorRibeiro Junior, Howard Lopes
dc.contributor.authorGonçalves, Paola Gyuliane [UNESP]
dc.contributor.authorMoreno, Daniel Antunes
dc.contributor.authorGoes, João Vitor Caetano
dc.contributor.authorde Oliveira, Roberta Taiane Germano
dc.contributor.authorMontefusco-Pereira, Carlos Victor
dc.contributor.authorKomoto, Tatiana Takahasi
dc.contributor.authorPinheiro, Ronald Feitosa
dc.contributor.institutionFederal University of Ceara
dc.contributor.institutionBarretos Cancer Hospital
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T13:48:23Z
dc.date.available2023-07-29T13:48:23Z
dc.date.issued2023-06-01
dc.description.abstractDifferentially expressed genes (DEGs) biomarkers can be used to help diagnose and monitor the disease, as well as to determine which treatments are most effective. So, given the complexity of Myelodysplastic neoplasm (MDS), it is difficult to determine the impact and disparities of DEGs between CD34+ HSC (hematopoietic stem cells) or primary bone marrow cells (PBMC) in MDS pathogenesis, and therefore it remains largely unknown. Here, we performed an in-silico transcriptome analysis on CD34+ HSC and PBMC from 1092 MDS patients analyzing the divergences between differential gene expression patterns in these two cell types as potential pathogenic biomarkers for MDS. Initially, we observed a difference of 7117 expressed transcripts between PBMC (n = 40,165) and CD34 +HSC (n = 33,048). Also, we identified that CD34+ HSC and PBMC samples showed 240 and 2948 DEGs, respectively. In summary, we identified DEGs disparities in CD34+ HSC and PBMC cell types. However, there was a certain similarity of the activated pathways in both cellular samples based on Gene Ontology and KEGG pathways enrichment analyses. Our results provide novel insights into novel DEGs biomarkers to MDS pathogenesis with clinical significance. Availability of data and materials: All microarray databases were obtained from Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/). To evaluate the biological function of differentially expressed genes, the DAVID (Database for Annotation, Visualization and Integrated Discovery tool was used) (https://david.ncifcrf.gov/).en
dc.description.affiliationCenter for Research and Drug Development (NPDM) Federal University of Ceara, Ceara
dc.description.affiliationPost-Graduate Program in Translational Medicine Federal University of Ceara, Ceara
dc.description.affiliationPost-Graduate Program of Pathology Federal University of Ceara, Ceara
dc.description.affiliationMolecular Oncology Research Center Barretos Cancer Hospital, São Paulo
dc.description.affiliationUNESP – Univ. Estadual Paulista School of Medicine Department of Pathology, São Paulo
dc.description.affiliationPost-Graduate Program in Medical Science Federal University of Ceara, Ceara
dc.description.affiliationUnespUNESP – Univ. Estadual Paulista School of Medicine Department of Pathology, São Paulo
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 18/2021
dc.identifierhttp://dx.doi.org/10.1016/j.leukres.2023.107071
dc.identifier.citationLeukemia Research, v. 129.
dc.identifier.doi10.1016/j.leukres.2023.107071
dc.identifier.issn1873-5835
dc.identifier.issn0145-2126
dc.identifier.scopus2-s2.0-85151267820
dc.identifier.urihttp://hdl.handle.net/11449/248597
dc.language.isoeng
dc.relation.ispartofLeukemia Research
dc.sourceScopus
dc.subjectCD34 + stem-cells
dc.subjectGene expression
dc.subjectMicroarray
dc.subjectMyelodysplastic neoplasm
dc.subjectPathogenesis
dc.subjectPrimary bone marrow cells
dc.titleDiscrepancy in transcriptomic profiling between CD34 + stem cells and primary bone marrow cells in myelodysplastic neoplasmen
dc.typeCarta

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