RATIONALE: Multiple progenitors derived from the heart and bone marrow (BM) have been used for cardiac repair. Despite this, not much is known about the molecular identity and relationship among these progenitors. To develop a robust stem cell therapy for the heart, it is critical to understand the molecular identity of the multiple cardiogenic progenitor cells. OBJECTIVE: This study is the first report of high-throughput transcriptional profiling of cardiogenic progenitor cells carried out on an identical platform. METHOD AND RESULTS: Microarray-based transcriptional profiling was carried out for 3 cardiac (ckit(+), Sca1(+), and side population) and 2 BM (ckit(+) and mesenchymal stem cell) progenitors, obtained from age- and sex-matched wild-type C57BL/6 mice. Analysis indicated that cardiac-derived ckit(+) population was very distinct from Sca1(+) and side population cells in the downregulation of genes encoding for cell-cell and cell-matrix adhesion proteins, and in the upregulation of developmental genes. Significant enrichment of transcripts involved in DNA replication and repair was observed in BM-derived progenitors. The BM ckit(+) cells seemed to have the least correlation with the other progenitors, with enrichment of immature neutrophil-specific molecules. CONCLUSIONS: Our study indicates that cardiac ckit(+) cells represent the most primitive population in the rodent heart. Primitive cells of cardiac versus BM origin differ significantly with respect to stemness and cardiac lineage-specific genes, and molecules involved in DNA replication and repair. The detailed molecular profile of progenitors reported here will serve as a useful reference to determine the molecular identity of progenitors used in future preclinical and clinical studies.
RATIONALE: Multiple progenitors derived from the heart and bone marrow (BM) have been used for cardiac repair. Despite this, not much is known about the molecular identity and relationship among these progenitors. To develop a robust stem cell therapy for the heart, it is critical to understand the molecular identity of the multiple cardiogenic progenitor cells. OBJECTIVE: This study is the first report of high-throughput transcriptional profiling of cardiogenic progenitor cells carried out on an identical platform. METHOD AND RESULTS: Microarray-based transcriptional profiling was carried out for 3 cardiac (ckit(+), Sca1(+), and side population) and 2 BM (ckit(+) and mesenchymal stem cell) progenitors, obtained from age- and sex-matched wild-type C57BL/6 mice. Analysis indicated that cardiac-derived ckit(+) population was very distinct from Sca1(+) and side population cells in the downregulation of genes encoding for cell-cell and cell-matrix adhesion proteins, and in the upregulation of developmental genes. Significant enrichment of transcripts involved in DNA replication and repair was observed in BM-derived progenitors. The BM ckit(+) cells seemed to have the least correlation with the other progenitors, with enrichment of immature neutrophil-specific molecules. CONCLUSIONS: Our study indicates that cardiac ckit(+) cells represent the most primitive population in the rodent heart. Primitive cells of cardiac versus BM origin differ significantly with respect to stemness and cardiac lineage-specific genes, and molecules involved in DNA replication and repair. The detailed molecular profile of progenitors reported here will serve as a useful reference to determine the molecular identity of progenitors used in future preclinical and clinical studies.
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Authors: Federico Quaini; Konrad Urbanek; Antonio P Beltrami; Nicoletta Finato; Carlo A Beltrami; Bernardo Nadal-Ginard; Jan Kajstura; Annarosa Leri; Piero Anversa Journal: N Engl J Med Date: 2002-01-03 Impact factor: 91.245
Authors: D A Taylor; B Z Atkins; P Hungspreugs; T R Jones; M C Reedy; K A Hutcheson; D D Glower; W E Kraus Journal: Nat Med Date: 1998-08 Impact factor: 53.440
Authors: Amritha Yellamilli; Yi Ren; Ron T McElmurry; Jonathan P Lambert; Polina Gross; Sadia Mohsin; Steven R Houser; John W Elrod; Jakub Tolar; Daniel J Garry; Jop H van Berlo Journal: FASEB J Date: 2020-02-25 Impact factor: 5.191