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Setd2 deficiency impairs hematopoietic stem cell self-renewal and causes malignant transformation

ABSTRACT: Purpose: The histone H3 lysine 36 methyltransferase SETD2 is frequently mutated in various cancers, including leukemia. However, there has not been any functional model to show the contribution of SETD2 in hematopoiesis or the causal role of SETD2 mutation in tumorigenesis. In this study, using a conditional Setd2 knock-out (KO) mouse model, we show that Setd2 deficiency skews hematopoietic differentiation and impaired HSC (hematopoietic stem cell) self-renewal. Intriguingly, Setd2-deleted HSCs, through a latency period, can acquire abilities to overcome the growth disadvantage and eventually develop into hematopoietic malignancy characteristic of myelodysplastic syndrome (MDS). This study aimed at finding the mechanism controlled by Setd2, which was required for MDS formation. Methods: Young and old Setd2 WT and KO LSKs (Lin-c-Kit+Sca1+) were generated by deep RNA-seq, using Illumina Hiseq2500. Using Stringtie (version:1.3.0) software to analyze the sequence reads that passed quality filter to acquire the expression level of all genes. qRT–PCR validation was performed using SYBR Green assays. Young Setd2 WT and KO LSKs were also generated by whole genome bisulfite sequencing (WGBS), using Illumina Hiseq2500. Results: Using an optimized data analysis workflow, 246 genes down-regulated and 226 up-regulated, showed significant differential expression (fold change, FC ≤ 0.5 or FC ≥ 2; p < 0.05) between young WT and KO LSKs. Old LSKs displayed about 1112 down-regulated and 777 up-regulated genes between WT and KO. The results of WGBS showed that the Setd2 KO genome carries a much larger number of hypomethylated DMRs (different methylation regions) relative to hypermethylated ones (5,839 versus 1,294). Conclusions: Through RNA-seq, gene expression profile of young Setd2-deleted LSKs partially resembles the Dnmt3a/Tet2 double knock-out. WGBS also indicated that Setd2 deficiency can regulate the distribution of whole genome DNA methylation. Furthermore, young Setd2 deficiency also induces DNA replication stress in HSCs, as reflected by activated E2F gene regulatory network and repressed ribonucleotide reductase subunit Rrm2b. Old Setd2-deleted LSKs displayed a MDS related transcriptional signature.

ORGANISM(S): Mus musculus

PROVIDER: GSE108617 | GEO | 2018/05/17

REPOSITORIES: GEO

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Project description:Purpose: the goal of this study is to investigate the consequences of ubiquitin specific protease 15 (USP15) deletion on gene expression in mouse LSK hematopoietic progenitors. Methods: mRNA profiles of 8 weeks-old wild-type (WT) and ubiquitin specific protease 15 knockout (Usp15−/−) mice were generated by deep sequencing using Illumina Hiseq2500. The sequence reads that passed quality filters Alignments of the sequence reads that passed quality filters were performed using TopHat2.1, Genome build 38 and Ensembl gtf version 77 and genecounts have been generated using Itreecount. https://github.com/NKI-GCF/itreecount Results: We assigned about 30 million reads per sample uniquely to a gene of the mouse reference genome (mm10) We identified 21,219 genes in the LSKs of WT and Usp15−/− mice using TopHat2.1 in combination with Itreecount. https://github.com/NKI-GCF/itreecount. Distinct LSK-specific expressed genes (such as Eng, Tek, the MlI receptor and the Kit receptor) are identified. Comparison of normalized gene expression data for Usp15-/- versus WT LSK confirmed the loss of Usp15. Apart from Usp15, almost no other significantly deregurated genes were detected using a treshold of fold change ≥1.5 and p value <0.05, suggesting the maintenance of an overall stable identity of the cellular compartment in Usp15-/- mice. Conclusions: Our results represent the first detailed analyis of the consequences of USP15 deletion on gene expression in hematopoietic populations such as LSKs progenitors by genome wide expression profiling in WT and Usp15-/- mice. RNAseq of two freshly isolated biological replicas of sorted LSKs from 8 weeks old Usp15-/- animals confirmed the loss of Usp15, while showing almost no significant other up or down regulated genes among the 21,219 genes identified in Usp15-/- LSKs. We conclude that young adult hematopoietic stem and progenitor cells (LSKs) perpetuated a stable gene expression program regardless of the homozygous deletion of USP15.

Project description:Total RNA was extracted from Lin-Sca-1+c-Kit+ (LSK) cells sorted from the BM of Spred1HSCΔ/ΔSCLtTA/BCR-ABL (HSC KO) and Spred1HSCwt/wtSCLtTA/BCR-ABL (HSC wt) (n=5 mice per group, both group given 7 doses of 250μg poly(I:C), ip, every two days, to activate Mx1-cre), Spred1ECΔ/ΔSCLtTA/BCR-ABL (EC KO) and Spred1ECwt/wtSCLtTA/BCR-ABL (EC wt) (n=5 mice per group) mice using the miRNeasy micro Kit (Qiagen, Valencia, CA). SMART-Seq® Ultra Low Input RNA Kit for Sequencing – v4 (TaKaRa, Cat 634888) was used for generating amplified double stranded (ds) cDNA from each sample with 2ng of input total RNA according to the manufacturer's protocol. The resulting ds cDNA was sheared with Covaris LE220 with the setting of DNA fragment size of 200bp peak. The sheared DNA was used for sequencing library preparation by using KAPA HyperPrep Kits (Roche, Cat KK8500). The final libraries were quantified with qubit and bioanalyzer. The sequencing was performed with the single read mode of 51 cycles of read1 and 7 cycles of index read with V4 reagents on Illumina Hiseq2500. Real-time analysis (RTA) 2.2.38 software was used to process the image analysis and base calling. The nf-core RNAseq pipeline v1.3 was used to process the raw sequencing reads (https://nf-co.re). RNA-Seq reads were trimmed to remove sequencing adapters using Trimmomatic3 and polyA tails using FASTP4. The processed reads were mapped back to the mouse genome (mm10) using STAR software (v. 020201)5. The HTSeq software (v.0.6.0)6 was applied to generate the count matrix, with default parameters. Differential expression analysis was conducted by adjusting read counts to normalized expression values using TMM normalization method in R7. Briefly, for each comparison between HSC KO LSKs and HSC wt LSKs and between EC KO LSKs and EC wt LSKs, general linear models were applied to identify DEGs using TMM normalization expression level as depending variable, and genotype as independent variable. Genes with a p-value less than 0.05 and with a fold change (FC) greater than 1.5 or less than 0.7 were considered as significant up- and down-regulated genes, respectively. Pathway analysis was conducted using GSEAPreranked algorithm using GSEA Desktop program in Java8, 9. The former requires a list of up- and down-regulated genes, while the latter a ranked list of whole genes according to their log2 fold change and p-values.

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Setd2 deficiency impairs hematopoietic stem cell self-renewal and causes malignant transformation

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