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Therapeutic discovery for marrow failure with MDS predisposition using pluripotent stem cells
Melisa Ruiz-Gutierrez, Özge Vargel Bölükbaşı, Gabriela Alexe, Adriana G. Kotini, Kaitlyn Ballotti, Cailin E. Joyce, David W. Russell, Kimberly Stegmaier, Kasiani Myers, Carl D. Novina, Eirini P. Papapetrou, Akiko Shimamura
Melisa Ruiz-Gutierrez, Özge Vargel Bölükbaşı, Gabriela Alexe, Adriana G. Kotini, Kaitlyn Ballotti, Cailin E. Joyce, David W. Russell, Kimberly Stegmaier, Kasiani Myers, Carl D. Novina, Eirini P. Papapetrou, Akiko Shimamura
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Research Article Hematology Therapeutics

Therapeutic discovery for marrow failure with MDS predisposition using pluripotent stem cells

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Abstract

Monosomy 7 and deletion of 7q, known as del(7q), are common clonal cytogenetic abnormalities associated with high-grade myelodysplastic syndrome (MDS) arising in inherited and acquired bone marrow failure. Current nontransplant approaches to treat marrow failure may be complicated by stimulation of clonal outgrowth. To study the biological consequences of del(7q) within the context of a failing marrow, we generated induced pluripotent stem cells (iPSCs) derived from patients with Shwachman-Diamond syndrome (SDS), a bone marrow failure disorder with MDS predisposition, and genomically engineered a 7q deletion. The TGF-β pathway was the top differentially regulated pathway in transcriptomic analysis of SDS versus SDSdel(7q) iPSCs. SMAD2 phosphorylation was increased in SDS relative to wild-type cells, consistent with hyperactivation of the TGF-β pathway in SDS. Phospho-SMAD2 levels were reduced following 7q deletion in SDS cells and increased upon restoration of 7q diploidy. Inhibition of the TGF-β pathway rescued hematopoiesis in SDS iPSCs and in bone marrow hematopoietic cells from SDS patients while it had no impact on the SDSdel(7q) cells. These results identified a potential targetable vulnerability to improve hematopoiesis in an MDS predisposition syndrome and highlighted the importance of the germline context of somatic alterations to inform precision medicine approaches to therapy.

Authors

Melisa Ruiz-Gutierrez, Özge Vargel Bölükbaşı, Gabriela Alexe, Adriana G. Kotini, Kaitlyn Ballotti, Cailin E. Joyce, David W. Russell, Kimberly Stegmaier, Kasiani Myers, Carl D. Novina, Eirini P. Papapetrou, Akiko Shimamura

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Figure 3

Differential activation of the TGF-β pathway in SDS iPSCs versus SDSdel(7q) iPSCs.

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Differential activation of the TGF-β pathway in SDS iPSCs versus SDSdel(...
(A) Heatmap of RNA-Seq transcriptomic analysis of 12,993 genes with log2 fragments per kilobase of transcript per million mapped reads (FPKM) expression greater than 1 from SDS (SDS1.5) versus SDSdel(7q) (SDS1.5D5Cre4.9) iPSCs. Genes ranked based on log2 fold change FPKM at least 1.5 between SDSdel(7q) and SDS iPSCs with P value 0.05 or less in EdgeR; 634 genes were noted to have increased expression, and 726 genes had decreased expression in SDSdel(7q) iPSCs relative to SDS iPSCs. (B) Subset of the genome-wide GSEA canonical pathways and experimental gene sets with decreased expression in SDSdel(7q) iPSCs compared with SDS iPSCs. (C) Volcano plot of GSEA canonical pathways and experimental gene sets. Pathways associated with TGF-β are noted with red dots. (D) Top 16 upstream regulators identified by IPA to be inhibited in SDSdel(7q) compared with SDS iPSCs with activation score –3.0 or less. Upstream regulators of TGF-β pathways are highlighted (*). (E) Heatmap of TGF-β upstream regulators in SDSdel(7q) and SDSdel(7q)+7 iPSCs relative to SDS iPSCs for the canonical (left) and noncanonical (right) pathways.

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