Abstract
The nuclear receptor binding SET domain protein 1 (NSD1) is recurrently mutated in human cancers including acute leukemia. We show that NSD1 knockdown alters erythroid clonogenic growth of human CD34+ hematopoietic cells. Ablation of Nsd1 in the hematopoietic system of mice induces a transplantable erythroleukemia. In vitro differentiation of Nsd1−/− erythroblasts is majorly impaired despite abundant expression of GATA1, the transcriptional master regulator of erythropoiesis, and associated with an impaired activation of GATA1-induced targets. Retroviral expression of wildtype NSD1, but not a catalytically-inactive NSD1N1918Q SET-domain mutant induces terminal maturation of Nsd1−/− erythroblasts. Despite similar GATA1 protein levels, exogenous NSD1 but not NSDN1918Q significantly increases the occupancy of GATA1 at target genes and their expression. Notably, exogenous NSD1 reduces the association of GATA1 with the co-repressor SKI, and knockdown of SKI induces differentiation of Nsd1−/− erythroblasts. Collectively, we identify the NSD1 methyltransferase as a regulator of GATA1-controlled erythroid differentiation and leukemogenesis.
Subject terms: Acute myeloid leukaemia, Molecular medicine
Loss of function mutations of NSD1 occur in blood cancers. Here, the authors report that NSD1 loss blocks erythroid differentiation which leads to an erythroleukemia-like disease in mice by impairing GATA1-induced target gene activation.
Introduction
Steady-state erythropoiesis is primarily controlled by erythropoietin (EPO) and other hormones including stem cell factor and glucocorticoids. Different pathways translate external signals to the activation of transcription factors and co-regulators that drive expression programs that define erythroid identity1. Erythroid differentiation is mainly regulated by a relatively small number of transcriptional regulators, including GATA-1, SCL/TAL1, LMO2, LDB1, KLF1, and GFI1b, that dynamically form multiprotein complexes. However, it remains poorly understood how distinct complexes interact and activate or repress specific gene expression programs2.
The best studied erythroid transcription factor is the GATA1 zinc-finger protein. GATA1 was shown to activate its target genes by complexing with SCL/TAL1, the bHLH protein E2A, and the LIM domain containing factors LMO2 and LDB1. GATA1-mediated repression was proposed to be executed by complexes containing FOG1, GFI1b, and/or Polycomb repressive complex 2 (PRC2) proteins2,3. Inactivation studies in mice revealed that GATA1 is an essential master regulator of erythropoiesis as Gata1-null embryos died in utero from anemia4. Moreover, some adult female mice that are heterozygous for the targeted disruption of the X chromosome-linked Gata1 promoter region displayed reduced Gata1 gene expression (Gata11.05/X allele) and developed an early onset erythroleukemia-like disease5. This mouse model suggested that reduced Gata1 activity contributes to leukemogenesis by preventing proper erythroid differentiation. Acute erythroleukemia is a rare form of human acute myeloid leukemia (AML) generally associated with poor outcome6. Recent studies started to unravel the genetic AEL landscape but the molecular mechanisms that control the erythroid identity of the tumor cells remain poorly understood7.
The nuclear receptor SET domain protein 1 (NSD1) histone methyltransferase was identified as a protein interacting with several nuclear receptors8,9. Mono- and di-methylation of histone 3 lysine 36 (H3K36) and lysine 168 of linker histone 1.5 have been proposed to be the major cellular NSD1 substrates10,11. Multiple studies suggest that NSD1 can act as a tumor suppressor gene. First, the NSD1 gene locus is subject to recurrent putative loss-of-function mutations in hematological malignancies and solid cancers12–16. Second, the CpG island promoter of the NSD1 locus has also been reported to be frequently hyper-methylated in certain human cancers, thereby epigenetically silencing the allele17,18. Third, heterozygous germline point mutations in NSD1 are the molecular correlate for SOTOS, an overgrowth syndrome with learning disabilities and increased cancer risk19,20. Finally, NSD1 was identified as putative cancer predisposition gene mediated by rare germline variants and somatic loss-of-heterozygosity (LOH)21. However, the mechanism of how NSD1 protects different cell types from malignant transformation remains unknown.
We study the role of NSD1 in steady-state hematopoiesis and leukemia. We observe that reduced NSD1 expression alters the clonogenic growth of erythroid progenitor cells derived from human CD34+ hematopoietic cells. Targeted Nsd1 gene inactivation during late fetal hematopoiesis in mice leads to malignant accumulation of erythroblasts phenocopying human acute erythroleukemia. Complementation experiments reveal that the NSD1-SET domain is critical for in vitro erythroblast terminal differentiation. In addition, our work suggests that NSD1 controls target gene activation by the erythroid master regulator GATA1, most likely through regulated association with the transcriptional co-repressor SKI. Collectively, we identify NSD1 as a co-regulator of GATA1-controlled terminal erythroid maturation and leukemogenesis.
Results
NSD1 knockdown in human CD34+ hematopoietic cells
To address the role of NSD1 in hematopoiesis, we first optimized lentiviral shRNA-mediated knockdown in human CD34+ hematopoietic cells (Supplementary Fig. 1a–d). We identified three NSD1 shRNA that reduced the numbers of colonies grown in methylcellulose (MC) containing growth factors including EPO (Fig. 1a, b, Supplementary Fig. 1a, b). Interestingly, whereas very few colonies were generated upon replating of Ctrl-shRNA-transduced cells, cells transduced with NSD1-shRNA “372” or “353” formed abundant relatively dense reddish colonies (Fig. 1b, c, Supplementary Fig. 1c). These colonies were mostly composed of CD45low cells expressing the transferrin receptor (CD71) and glycophorin-A (GPA) presenting with a proerythroblast-like morphology (Fig. 1d, e, Supplementary Fig. 1d). The cells could however not be further expanded in MC or in liquid cultures. Very similar results were obtained with human cord blood-derived cells (Supplementary Fig. 1e–h). Collectively, these data suggest that NSD1 regulates clonogenic erythroid differentiation of fetal and adult human CD34+ hematopoietic cells in vitro.
Ablation of Nsd1 induces erythroleukemia in mice
To address its role in steady-state hematopoiesis, we inactivated Nsd1 in mice22. Nsd1fl/fl;Vav1-iCretg/+ transgenic mice (here referred as Nsd1−/−) efficiently excised both alleles in cells from different lineages leading to almost undetectable levels of Nsd1 exon 5 mRNA and protein expression (Supplementary Fig. 2a–g). At the age of 6–25 weeks (median 91 days, n = 24) all Nsd1−/− mice developed signs of distress, significant hepatosplenomegaly with extensive cellular multi-organ infiltrations, reduced red blood cell (RBC) counts and hemoglobin levels, reticulocytosis, and severe thrombocytopenia (Fig. 2a–h, Supplementary Fig. 2h, Supplementary Table 1). White blood cell (WBC) counts were mostly within the normal range but “unclassified leukocytes” were detected and erythroblast-like cells were seen on peripheral blood smears (Fig. 2i, Supplementary Fig. 2i–k). Transplantation of BM cells from symptomatic Nsd1−/− mice (alone or 1:1 in competition with normal cells) rapidly induced the same disease in lethally irradiated wild-type recipients, after a latency of 33 and 42 days, respectively, characterized by hepatosplenomegaly, multi-organ infiltration, anemia, thrombocytopenia, and erythroblasts in the periphery (Fig. 2j, Supplementary Fig. 21, Supplementary Table 2).
BM and spleen cells from diseased mice expressed modest levels of the transferrin receptor (CD71) and variable amounts of Kit and FcγRII/III, but were negative for CD34, B220, and Sca-1 (Fig. 3a, Supplementary Fig. 3a, b). Erythroid differentiation was defined by staining of CD71 and Ter119 progressing from immature CD71lowTer119low (“R0”) to CD71lowTer119high (“R4”) cells (Supplementary Fig. 3c)23. Whereas a decrease of the R4 fraction that was mostly evident in the spleens, all diseased Nsd1−/− mice significantly accumulated CD71dim/Ter119low cells in BM and spleen (Fig. 3b, Supplementary Fig. 3d). BM cells of diseased Nsd1−/− mice formed reduced numbers of colonies in MC with significant reduction of CFU-GM and BFU-E colonies accompanied with sometimes large and abnormally dense, reddish and benzidine-staining positive “BFU-E-like” serially platable colonies, composed of myeloid and erythroid progenitors (Fig. 3c–e).
Diseased Nsd1−/− BM contained reduced numbers of lineage marker negative, Kit+/Sca-1+ (LSK), long-term- (LT-HSC), and short-term repopulating hematopoietic stem cells (ST-HSC) (Fig. 3f). The number of multi-potent progenitors (MPP) and granulocytic-macrophage progenitors (GMP) was also reduced, common myeloid progenitors (CMP) were less affected, and the number of other progenitors (pre-GM, pre-MegE, MkP) did not significantly differ from littermate controls (Supplementary Fig. 3e, f).
As Vav1-promoter driven Cre expression resulted in significant reduction of Nsd1 expression as early as at E13.5 of development, we also analyzed the impact of Nsd1 inactivation during fetal liver hematopoiesis (Supplementary Fig. 3g, h)24. Hereby, we observed clusters of large cells with a dark-blue cytoplasm on E19.5 fetal liver sections (Fig. 3g). MC cultures did not display any significant differences in total colony number; however, E19.5 Nsd1−/− fetal liver cells formed dense colonies of mostly CD71+ cells (Fig. 3h, i) (Supplementary Fig. 3i) resembling those formed by diseased adult BM (Fig. 3d).
Comparison of the transcriptomes of BM cells from symptomatic Nsd1−/− mice (n = 5) with littermate controls (n = 3) (Supplementary Fig. 3j, Supplementary Data 1) revealed significant upregulation of 1705 (of 18301 genes, 9.3%) and downregulation of 1558 (8.5%) genes (FDR < 0.05). Gene set enrichment analysis (GSEA) revealed positive correlations between differentially expressed genes (DEGs) with a previously characterized signature of MYC targets and negative correlation with a gene signature of murine terminal erythroid differentiation (Fig. 3j)25. Collectively, these data show that inactivation of Nsd1 in the hematopoietic system induces an erythroleukemia-like disease in mice26.
Aberrant regulation of GATA1 in Nsd1−/− erythroblasts
To elucidate the role of Nsd1 in erythroleukemia, we first established culture conditions for primary erythroblasts that maintain cytokine dependency as well as differentiation potential towards enucleated erythrocytes (Fig. 4a)27. Growth of fetal liver (FL)-derived Nsd1−/− erythroblasts did not significantly differ from littermate controls in maintenance medium (“MM”, containing dexamethasone, hIGF1, cholesterol, and hEPO). In contrast, differentiation of Nsd1−/− cells was significantly impaired while control cells completely matured in mSCF and hEPO containing differentiation-inducing medium (“DM”) (Fig. 4b–d, Supplementary Fig. 4a–d).
Erythropoiesis is controlled by the transcriptional master regulator GATA128. While Nsd1−/− erythroblasts expressed reduced Gata1 mRNA levels in DM, GATA1 protein expression remained abundant in maintenance medium and during induced differentiation (Fig. 5a, b, Supplementary Fig. 4e, f). Interestingly, retroviral expression of a full-length murine Gata1 cDNA resulting in 2.6–3.2-fold increased level of exogenous protein not only reduced the number of aberrant colonies in MC but also induced terminal maturation of Nsd1−/− erythroblasts (Fig. 5c–e, Supplementary Fig. 4g).
To study the impact of NSD1 on GATA1 transcription factor activity we compared the expression of previously proposed GATA1 target genes. Overexpression of GATA1 promoted induced expression of several genes in Nsd1−/− cells, including Hba-A, Hbb-B, and Bcl2l1, which are normally activated by GATA1 during differentiation (Fig. 5f, Supplementary Fig. 4h, i). In contrast, exogenous Gata1 did not affect expression of Spi1 but further reduced expression of Kit and Gata2 known to be downregulated by GATA1 during normal erythroid differentiation (Fig. 5g, Supplementary Fig. 4j, k). Together, these data suggest that the activation of GATA1-controlled target genes during erythroid differentiation is modulated by NSD129.
NSD1-SET is essential for in vitro erythroblast maturation
To address how NSD1 controls erythroid differentiation we compared the effects of expression of wild type (Nsd1) or a catalytically inactive SET domain mutant (Nsd1N1918Q) in Nsd1−/− erythroblasts (Fig. 6a)30. Expression of Nsd1 but not Nsd1N1918Q significantly rescued terminal maturation as illustrated by cellular morphology, a shift of CD71 and Ter119 surface expression, formation of reddish cell pellets, reduced proliferation, and reduced colony formation in MC (Fig. 6b–f, Supplementary Fig. 5a–c).
To address the molecular mechanisms, we measured DEGs and total proteome expression in BM-derived Nsd1−/− erythroblasts retrovirally expressing Nsd1 or Nsd1N1918Q expanded in MM and kept for 24h in DM (Fig. 7a). After 24 h in DM, expression of about 2% of the genes significantly (p < 0.05) increased (270 of 15804) or decreased (318 of 15804) in cells expressing Nsd1 compared to Nsd1N1918Q (Fig. 7b, Supplementary Data 2). Among more highly expressed genes we found the cell cycle regulator Cdk2 and the epigenetic regulator Kmt5a (Setd8) previously shown to be important for erythroid differentiation31–34. Among the lower expressed genes, we found the transcription factor Gata2 and the RNA-binding protein Zfp36l2 known for their role in regulating self-renewal of hematopoietic stem and erythroid progenitor cells35,36. GSEA revealed significant (p < 0.0001) positive correlations between DEGs of Nsd1−/− cells expressing Nsd1 for 24 h in DM with signatures linked to heme metabolism, erythroid differentiation, and putative GATA1 target genes, and inverse correlation with a negative regulatory differentiation signature (Fig. 7c, Supplementary Data 3). DEG between cells expressing Nsd1 or the Nsd1N1918Q mutant kept 24 h in DM did not only positively correlate with the expression signature of murine terminal erythroid differentiation but also with signatures related to heme metabolism and cell cycle checkpoints, and negatively with signatures related to hematopoietic stemness (Fig. 7d, Supplementary Data 4). In parallel to differential mRNA expression we also determined changes of the global proteome. Nsd1−/− erythroblasts expressing wild-type Nsd1 for 24 h in DM expressed significant higher protein levels of several proposed GATA1 targets like hemoglobin (HBA, HBB1, HBE), exportin 7 (XPO7), or mitoferrin (MFRN1) (Fig. 7e, Supplementary Fig. 5d, Supplementary Data 5, and Supplementary Table 3)37,38. Collectively, these observations suggest that the catalytic activity of NSD1 is essential for terminal erythroid maturation and regulation of GATA1 targets.
Nsd1 regulates GATA1 chromatin binding and protein interactions
As expression of wild type or mutant Nsd1 did not overtly change GATA1 protein levels in Nsd1−/− erythroblasts kept for 2 days in DM, we compared chromatin binding and putative protein interactions of GATA1 by ChIP and IP-MS after 24 h of induced differentiation (Fig. 8a–c). Hereby, we found increased occupancy of GATA1 at over 3000 sites in the genome overlapping with 1362 genes (p < 0.01) in cells expressing Nsd1 in comparison to the catalytically inactive Nsd1N1918Q mutant (Fig. 8d). Of genes with significantly increased binding of GATA1, 731 of them had the promotor regions decorated by H3K27ac while H3K36me3 marks overlapped with 1179 gene bodies (Supplementary Data 6). Hence, while global levels of GATA1 remains constant, reintroduction of Nsd1 resulted in increased DNA binding to available GATA1 sites in promotor regions, similarly reflected in changes in H3K36me3 and H3K27ac at the genomic coordinates. Interestingly, changes in gene expression aligned with H3K27ac around TSS, confirming that these epigenetic marks are directly regulating the down-stream transcriptional programming (Fig. 8e). However, we could not detect any gene loci with statistically significant increase of all three, GATA1, H3K36me3, and H3K27ac (Supplementary Data 7 and 8), which could be a matter of temporal distance along the activation pathway.
Nevertheless, Nsd1-induced regulation of several erythroid regulators was associated with simultaneously changed GATA1 binding, H3K27ac and H3K36me3 marks. The Pklr gene locus, encoding for the liver-red cell pyruvate kinase linked to erythroid differentiation and Art4, encoding for the developmentally regulated Dombrock blood group glycoprotein, were both higher expressed in Nsd1−/− cells expressing wild-type Nsd1 associated with a narrow GATA1 peak in the promotor region within a broader decoration of H3K27ac, followed by gene body-wide H3K36me3 marks (Fig. 8f)39,40. The opposite was observed for the gene encoding for Fgf2 (fibroblast growth factor 2) associated with inhibition of efficient erythroid differentiation that appeared higher expressed in Nsd1N1918Q than in Nsd1-expressing cells (Supplementary Fig. 6a)41. Immunoblot and masspectrometry analysis revealed globally reduced mono-, di-, and tri-methylated H3K36 in Nsd1−/− erythroblasts expressing the inactive Nsd1N1918Q mutant compared to those expressing wild-type Nsd1 (Supplementary Fig. 6b, c).
To address whether impaired chromatin binding and transactivation of GATA1 in the absence of Nsd1 might be associated with altered protein interactions we immunoprecipitated GATA1 followed by mass spectrometry in Nsd1−/− cells either expressing wild-type Nsd1 of the inactive Nsd1N1918Q mutant kept for 24 h in DM. We identified 413 differentially expressed proteins (p < 0.05) (Supplementary Data 9), of which the most significant ones included known interactors of GATA1 such as MBD2, RBBP4, ZFPM1, RUNX1, and TAL1 suggesting functionality of the assay (Fig. 8g)42. Interestingly, mass spectrometry analysis revealed that differentiation of Nsd1-expressing Nsd1−/− erythroblasts was associated with a highly significant reduction (logFC = −1.96; p < 1.08 × 10−7) of the transcriptional repressor protein SKI previously proposed to interact with and inhibit GATA1 activation, most likely in cooperation with the nuclear co-repressor (NCoR) complex (Fig. 8g, h, Supplementary Fig. 6d)43,44. Notably, several members of the NCoR complex (NCOR1, HDAC3, TBLXR1) co-appeared with SKI, as differentially regulated (Fig. 8g, Supplementary Data 9).
SKI knockdown differentiates Nsd1−/− erythroblasts
To functionally explore reduced GATA1-SKI association upon Nsd1 expression, we asked whether experimental shRNA-mediated reduction of SKI might be sufficient to initiate maturation of Nsd1−/− erythroblasts (Fig. 9a). We found that SKI knockdown significantly increased in vitro induced terminal maturation of erythroblasts from three independent Nsd1−/− mice, as shown by cellular morphology, flow cytometry (CD71/Ter119/Kit), and proliferation (Fig. 9b–d, Supplementary Fig. 7a). SKI knockdown did not alter GATA1 protein levels (Fig. 9e). Notably, prolonged culture in DM was associated with a general reduction of SKI levels suggesting a role for SKI during initiation rather than terminal differentiation. SKI knockdown also significantly reduced clonogenic growth, total number of cells, and Kit+ expression of the cells in MC (Fig. 9f–h, Supplementary Fig. 7b). Collectively, these data suggest that in the absence of Nsd1, terminal erythroid maturation is blocked as a consequence of impaired GATA1 transactivation dependent on its association with the transcriptional repressor SKI.
Discussion
The observations that reduced expression of NSD1 altered erythroid clonogenic growth of human CD34+ cells and significantly impaired terminal erythroid maturation leading to an erythroleukemia-like disease in mice characterizes NSD1 as a regulator of erythroid differentiation. Mechanistically, we found that NSD1 activity regulated chromatin binding and target gene activation by the erythroid master regulator GATA1.
Nsd1 inactivation phenocopies hallmarks of Gata1 deficiencies in mice
Earlier studies showed that constitutive Gata1 gene inactivation in mice resulted in embryonic death at approximately E11.5 due to arrested maturation of primitive erythroid cells4. In contrast, some mice with 95% reduced Gata1 mRNA expression due to a knockdown mutation (Gata1+/1.05) developed a late-onset B-cell lymphoproliferative disease or an earlier erythroleukemia-like disease5. Similar to Nsd1−/− erythroblasts, Gata11.05/+ erythroleukemia cells were able to differentiate into mature erythrocytes when complemented with full-length Gata1 (ref. 45). In contrast to Gata11.05/+ mice, Nsd1−/− mice developed a fully penetrant erythroleukemia-like phenotype after a shorter latency (Fig. 2).
The best-studied in vivo erythroleukemia model is Friend’s virus complex induced erythroblastosis in which viral integration results in aberrant expression of the Spi1 gene encoding for PU.1 (ref. 46). Similar to Nsd1−/−, Spi1 transgenic mice develop anemia, thrombocytopenia, and multi-organ infiltration of erythroblasts progressing from an EPO-dependent stage to EPO-independence by acquisition of activating mutations in the c-kit receptor tyrosine kinase47,48. However, very similar to Nsd1−/− erythroblasts, Friend’s virus erythroblastosis-derived MEL cells constitutively expressed GATA1 protein that could not be explained by the interaction with PU.1 (Fig. 5)49. In addition, conditional activation of exogenous Gata1 was also reported to induce erythroid differentiation in some MEL cell lines49,50.
Nsd1 controls GATA1 protein interaction and activation of erythroid regulators
To study the mechanism of Nsd1-controlled erythroid differentiation we faced the problem that primary erythroblast cultures can contain significant fractions of myeloid cells, which are not present in Nsd1−/− cultures. Therefore, we chose to virally express WT or a previously reported catalytically inactive Nsd1N1918Q SET-mutant in Nsd1−/− erythroblasts30. However, not only the large size of the Nsd1 ORF drastically impaired the gene transfer efficacy, transduced cells also did not tolerate high levels of exogenous Nsd1, which limited generation of stably expressing cells in time and numbers. Nevertheless, low-level mRNA expression resulted in detectable Nsd1 protein expression sufficient to restore terminal maturation of Nsd1−/− erythroblasts in a methyltransferase activity-dependent manner (Fig. 6). Interestingly, Nsd1 expression was associated with increased binding to and transactivation of a large number of previously proposed GATA1 target genes associated with changes in H3K27ac and H3K36me3 marks (Fig. 8). These observations led us to speculate that in the absence of Nsd1, GATA1 might be functionally trapped in some saturated interactions that may limit its transactivation potential, which can be overcome by expression of additional “free” GATA1.
Characterization of putative GATA1 interactions by immunoprecipitation and mass spectrometry suggested that in the absence of Nsd1, GATA1 associates with potent transcriptional repressors (Fig. 8). Notably, expression of wild type but not the inactive SET Nsd1 mutant resulted in a highly significant reduced association of GATA1 with the transcriptional co-repressor SKI. SKI is well known for its role as a regulator of the TGF-beta/Smad signaling pathway51,52. SKI was also found to be overexpressed in AML and proposed to repress retinoic acid receptor and RUNX1-mediated signaling.53–55. In addition, SKI was reported to control HSC fitness in myelodysplastic syndromes (MDS)56. Most importantly, SKI was shown to physically interact, to repress GATA1-mediated transactivation, and to block erythroid differentiation by blocking its interaction with DNA43 . In addition, SKI-mediated repression seemed to be NCoR dependent, and several NCoR complex proteins were altered in GATA1 pulldowns upon expression of Nsd1 (Fig. 8)44. These observations suggest that the methyltransferase activity of NSD1 controls the interaction of GATA1 with SKI or other, yet to be defined mediators.
Very recent studies using quantitative proteomics revealed that co-repressors are dramatically more abundant than co-activators in erythroblasts57. How the lack of Nsd1 directly regulates differential interaction of GATA1 co-activators and co-repressors remains to be elucidated. One can hypothesize that Nsd1-mediated H3K36 methylation provides the anchors for ultimate accumulation of sufficient co-activators on critical target gene loci.
Recent work suggested that H3K36 methylation is critical for normal erythroid differentiation. A conditional H3K36M mutation severely affected the murine hematopoietic system resulting in defects that partially phenocopy those observed in the Nsd1−/− mice. H3K36M transgenic mice also developed anemia, thrombocytopenia, and splenomegaly. Most notably, these mice also showed a dramatic increase in early Ter119− erythroid progenitor cells in the BM but also in the periphery58. Another study found that reduced H3K36me2 by Nsd1 inactivation in ES cells resulted in re-localization of the DNMT3A DNA methyltransferase, which interacts with the H3K36me3 through its PWWP domain. This led to hypomethylation of euchromatic intergenic regions as observed in SOTOS patients having NSD1 loss of function mutations59. Interestingly, normal erythroid maturation and particularly at transition from CFU-E to proerythroblasts was found to correlate with activation of a significant number of genes associated with gained DNA methylation on selective genes including numerous GATA1 targets60. Together, these findings suggest that the loss of H3K36 methylation and redistribution of DNMT3A could be directly responsible for impaired binding of GATA1 and its co-activators. The fact that we pulled down DNMT3A by immunoprecipitation of GATA1 in Nsd1−/− cells (Supplementary Datas 10 and 11) suggests that GATA1 binding could indeed not only be dependent on H3K36me but also on DNMT3A-mediated DNA methylation.
NSD1, SKI, and human erythroleukemia
Nsd1 gene inactivation during late stage fetal liver hematopoiesis induced a fully penetrant lethal disease that phenocopied several aspects of acute erythroleukemia, a rare form of human AML6. Putative loss of function missense or frameshift NSD1 mutations have been found in various human cancers including AML (https://cancer.sanger.ac.uk/cosmic/gene/analysis?ln=NSD1). Interrogation of the cancer cell line encyclopedia (CCLE) revealed that very few human cancer cell lines express even negligible levels of NSD1 mRNA and protein, including F-36P, a cell line established from a patient with acute erythroleukemia (https://portals.broadinstitute.org/ccle/page?gene=NSD1)61. Notably, very recent work revealed several cases of childhood acute erythroleukemia that harbored fusion genes involving NSD17. Based on our findings one can speculate that in such cases the fusion may either act in a dominant-negative manner to NSD1 expressed from the non-arranged allele, or the presence of LOH is reducing NSD1 activity as recently reported for a significant number of solid cancers21. Interestingly, we also found aberrantly high SKI expression levels in tumor cells of some erythroleukemia patients, and that in vivo overexpression of a SKI ORF in BM-derived HSPC resulted in an erythroleukemia-like disease in mice, suggesting that SKI expression may not only be critical for impaired erythroid differentiation in Nsd1−/− mice but also a driver of the human disease62. Collectively, our observations suggest that impaired NSD1 activity functionally interferes with lineage-associated transcriptional master regulators such as GATA1 resulting in impaired cellular differentiation as a first step to malignant transformation.
Methods
Data presentation and statistical analysis
Bar graphs in the figures represent the mean value of biological replicates. Error bars are standard error of the mean (mean ± SEM). Statistical significance was tested with unpaired (Nsd1fl/fl vs. Nsd1−/−) or paired (viral transduction in Nsd1−/− cells) two-tailed t-test, assuming equal variance, unless otherwise specified. Statistical test was performed in log10 space, or for qPCR kept in log2 space.
shRNA-mediated knockdown
Human CD34+ cells were obtained by enrichment using the CD34 MicroBead Kit (Miltenyi Biotec, Bergisch Gladbach, Germany) from peripheral blood or cord blood from healthy donors and kept in StemLine II medium (Sigma Aldrich, Buchs, Switzerland), supplemented with human cytokines such as 50 ng/ml hTPO (Peprotech, London, UK), 50 ng/ml hFLT3 ligand (Peprotech, London, UK), 50 ng/ml hSCF (Peprotech, London, UK), and 1 U/ml hEPO (Eprex 4000, Pharmacy of University Hospital Basel). shRNAs were expressed from lentiviral vectors (pLKO.1). For transduction lentiviral stock was produced by transient co- transfection of packaging vectors (pMD2G, pMLDg/PRE, pRSV/Rev) and respective lentiviral shRNA plasmid (shRNA Ctrl and shRNA NSD1 #353, #369 and #372) using lipofectamine 2000 (Invitrogen, Thermo Fisher Scientific, Reinach, Switzerland) in HEK293T-LX cells kept in DMEM (Gibco, Lubio, Thermo Fisher Scientific, Reinach, Switzerland) with 10% FCS and 1% penicillin/streptomycin. Viral supernatants were harvested 48 and 72 h after transfection, snap frozen in liquid nitrogen, and stored in −80 °C until usage. Cells were spin-infected in the presence of 5 μg/ml polybrene (Sigma Aldrich, Buchs, Switzerland) with virus for 90 min, 2500 r.p.m. at 30 °C. Six hours after spin infection, cells were washed with PBS and plated in StemLine II cytokine enriched medium. Two days after spin infection cells were selected with 2 µg/ml puromycin (Gibco, Thermo Fisher Scientific, Reinach, Switzerland).
Transgenic mice
Mice carrying a Nsd1+/L3 allele were previously described22. The floxed pgk-neomycin selection cassette was removed by viral Cre expression in ES cells, leaving two loxP sites flanking the largest coding exon 5, here referred as Nsd1fl/fl. Nsd1fl/fl mice were intercrossed with a Vav1-iCretg/+ transgenic strain leading to inactivation of the gene in fetal and adult hematopoiesis63. All mice in this study were kept under specific pathogen-free conditions. Mice were genotyped using the KAPA Mouse Genotyping Kit Hot Start Kit (Cat. KK7352; KapaBiosystems, Wilmington, USA) following the manufacturer’s instructions. PCR reaction program was 5 min 95 °C, 40× cycles 95 °C 15 s, 60 °C 15 s, 72 °C 30 s followed by 5 min 72 °C and 1 min 4 °C. PCR amplicons were visualized on 2% agarose gels containing ethidium bromide. Used oligonucleotide primers can be found in Supplementary Table 4.
Analysis of the mouse phenotype
Mice were sacrificed by CO2 asphyxia, organs removed and fixed in buffered 4% formalin solution. Paraffin-embedded tissue sections were stained with hematoxylin and eosin (H&E). Blood was collected from the tail vein or by vena cava inferior puncture (terminal) and counts were determined using an Advia120 Hematology Analyzer using Multispecies Version 5.9.0-MS software (Bayer, Leverkusen, Germany). Differential blood counts were analyzed on smears stained using Wright- Giemsa staining (Hematology, University Hospital Basel). Sections were analyzed on an Olympus BX61 microscope (Tokyo, Japan) or Nikon TI (Tokyo, Japan).
PCR analysis of cleavage of floxed Nsd1 exon 5
Genomic DNA was extracted from total BM or flow sorting enriched myeloid, erythroid, T and B cells using the Gentra Puregene Cell kit (Qiagen/158767) according to the manufacturer’s protocol. Fifty nanograms of gDNA were amplified using the GoTaq G2 Hot Start Polymerase (Promega/M7405) under the following conditions: 94 °C 1 min, 60 °C 1 min, 72 °C 1 min for 25 cycles. PCR products were separated on a 1.5% agarose gel containing ethidium bromide. PCR primers are given in Supplementary Table 4.
BM transplantation
Transplantations were performed using whole BM of Nsd1−/− mice at indicated age. For competitive transplantation, 1 × 106 total BM cells of symptomatic or asymptomatic Nsd1−/− mice (CD45.2) was mixed in a 1:1 ratio with supporting BM of B6.SJL (CD45.1) donor mice and transplanted into lethally irradiated (2× 600 cGy) B6.SJL (CD45.1) recipients via tail vein.
Analysis of mouse hematopoiesis
To obtain fetal liver cells, one male mouse was placed with two female mice during the light period and left overnight. At the indicated dates, pregnant females were sacrificed by CO2 asphyxia, and fetal liver cells from individual embryos were surgically isolated, minced, and passed through 70 μm cell strainer (Cat. 352350; BD, New Jersey, USA). For adult mice, total BM was harvested by crushing long bones and spine, while spleens were dissected and single-cell suspensions obtained by pressing through a 70 μm cell strainer. Red blood cells were lysed with ammonium-chloride potassium (ACK) lysis buffer (150 mM NH4Cl, 10 mM KHCO3, and 0.1 mM EDTA, pH 8.0) for 10 min on ice. Lineage depletion was achieved according to the manufacturers’ protocol of mouse hematopoietic lineage depletion kit (Cat. 130-090-858; Miltenyi Biotech, Bergisch Gladbach, Germany). Cytospin preparations of approximately 105 cells were made by centrifugation for 3 min at 300 r.p.m. using a Shandon Cytospin 3 centrifuge using cytofunnel disposable sample chambers (Cat. 5991040; Thermo Fisher Scientific, Reinach, Switzerland) and non-coated cytoslides (Cat. 5991051; Thermo Fisher Scientific, Reinach, Switzerland). Cytospots were stained with Wright Giemsa solution.
Flow cytometry
Cells in suspension were washed with FACS buffer (0.5% BSA, 1mM EDTA in PBS) and incubated with indicated antibodies for 45 min on ice, washed, and stained with 1 μg/ml DAPI (Life Technologies, Paisley, UK) in PBS. Stained cells were analyzed on a CyAn ADP analyzer (Beckman-Coulter) or LSR Fortessa (BD, New Jersey, USA). Data were analyzed with FlowJo software (Tree Star). For CD71/Ter119 staining, the preparation still contained red blood cells, for CD71/Kit/Sca-1/FcγRII/III stem and progenitor staining the red blood cells were depleted. For stem and myeloid progenitor staining, lineage-positive cells were depleted as described before. All antibodies used in this study are indicated in Supplementary Table 5. For calculating number of stem and progenitor cells in BM, lineage-marker-depleted cells were counted and absolute numbers of cells adjusted to this number. For differentiation analysis of mouse or human cells in vitro, cells were filtered, washed twice with PBS, and stained in 100 µL FACS buffer. Detailed information about the FACS gating strategies can be found in Supplementary Fig. 8.
RT-PCR
Quantitative RT-PCR: Total RNA was extracted using the RNA Plus extraction kit (Macherey-Nagel, Düren, Germany) according to the manufacturer’s protocol. cDNA synthesis was carried out using the high capacity cDNA reverse transcription kit (Cat. 4368814; Applied Biosystems, Foster City, USA). Quantitative PCR was performed using SYBR Green reagent (Applied Biosystems, Foster City, USA) and an ABI prism 7500 sequence detection system. Ct values were normalized to Gapdh expression and relative expression was quantified using 1/dCt or the 2(−ddCt) method64. Primers are given in Supplementary Table 6. For multivariate analysis of RT-qPCR the multicomp R package was used to model dCt values kept log space, extracting coefficients at each timepoint using Tukey’s test. Where specified the model included adjustment of the effect of individual mouse and plots depicts the residuals following this regression.
Colony forming assay
For whole BM analysis, approximately 4 × 104 cells were plated in methylcellulose M3434 (Methocult, StemCell Technologies, Vancouver, Canada). Colonies were scored after 8–10 days. Pictures were taken on Olympus IX50 microscope with ×2, ×4, and ×10 magnification. Cells were washed, resuspended, counted with trypan blue and if applicable replated into fresh methylcellulose. For colony formation analysis of human CD34+ cells, 5 × 103 cells were plated into H4434 (Methocult; StemCell Technologies, Vancouver, Canada). After scoring of M3434 plates, when indicated, dishes were incubated with a mix of two volumes of 0.3% hydrogen peroxide and five volumes of 0.2% di-hydrochloride benzidine (Sigma Aldrich, Buchs, Switzerland) in 0.5 M acetic acid/1× PBS for 5 min at 37 °C.
Western blotting
For protein detection, total cell extracts were isolated from freshly cultured 1 × 106 cells using 60 μl of Laemmli sample buffer containing 20% SDS. Following 5 min boiling at 100 °C, samples were centrifuged at 4 °C for 10 min, and supernatant was placed in a new tube. Nuclear protein lysates were prepared by resuspending cells in hypotonic lysis buffer (10 mM HEPES pH 7.9, 10 mM KCl, 0.1 mM EDTA, 0.1 mM EGTA, 1 mM DTT) for 15 min on ice, followed by treatment with 0.1% NP-40 and 15 s vortexing. Nuclei were spun down at 14,000 r.p.m. for 2 min at 4 °C and supernatant containing cytoplasmic fraction kept for analysis. Pellets were resuspended in nuclear lysis buffer (20 mM HEPES pH 7.9, 0.4 M NaCl, 1 mM EDTA, 1 mM EGTA, 1 mM DTT). In addition, pellets were sonicated for three cycles (30 s sonication, 30 s pause) on a Bioruptor pico sonicator (Diagenode, Seraing, Belgium) and left for 20 min on ice before spinning down at 14,000 r.p.m. for min at 4 °C. Lysates were kept for analysis of nuclear proteins and remaining pellets used for histone extraction in 0.2 N HCl and beta-mercaptoethanol. Lysis buffers were supplemented with Complete Mini protease inhibitors (Cat. 11836153001; Roche). Proteins were quantified by Bradford assay (Biorad, München, Germany) and loading adjusted. Samples were prepared in 4× Laemmli buffer (Biorad, München, Germany) and boiled for 10 min at 95 °C before loading on pre-cast (BioRad) or hand casted gels of different percentages. For NSD1 blot, 50 μg of nuclear extract was loaded on a 5% running gel. Wet transfer was done overnight at 4 °C in 5% methanol/0.1% SDS/tris-base-bicine buffer on 0.45 µM nitrocellulose membranes. For blotting GATA1, 10 μg nuclear extract was loaded on 10% gels and semi-dry transfer was done for 30 min on nitrocellulose 0.2 µM (Biorad, München, Germany). For SKI, whole lysate from 1 MIO cells was boiled and loaded on 6–7.5% gels. Wet transfer was carried out for 3 h at 4 °C. Membranes were blocked in 5% non-fatty milk (NFM) in PBS–1% Tween for 2 h at room temperature. Blots were probed overnight with antibody at 4 °C in 2.5% NFM/PBS–1%Tween, washed three times for 15 min in PBS–1% Tween and probed with a secondary antibody in 2.5%NFM/PBS–1%Tween. Again, blots were washed three times in for 15 min in PBS–1% Tween and then probed with Supersignal West Femto Max substrate (Thermo Scientific, Reinach, Switzerland). Carestream Biomax Kodak films were used for development (Sigma, New York, USA). Uncropped original scans of the western blots membranes as shown in Figs. 5b, 6c, 8b, h are provided in Supplementary Fig. 9. Information regarding the used antibodies can be found in Supplementary Table 7.
In vitro erythroid differentiation assay
Fetal liver and adult BM-derived erythroblasts cells were obtained following a previously published protocol27. Erythroblast cultures from adult mice were established after lineage depletion of BM cells, Cells were cultured for more than one week in maintenance medium composed of StemSpan SFEM (StemCell Technologies, Vancouver, Canada), supplemented with 1% Pen/Strep, 0.4% cholesterol (Gibco, Thermo Fisher Scientific, Reinach, Switzerland), 2 U/ml hEpo (Eprex 4000, 9096976, Pharmacy of University Hospital Basel), 100 ng/ml mScf (Peprotech, London, UK), 10−6 M dexamethasone (Calbiochem, Sigma Aldrich, Buchs, Switzerland), and 40 ng/ml hIGF-1 (Peprotech, London, UK). Cells were split every second day and presence of proerythroblasts was verified by flow cytometry (DAPI−/FSC+/CD71+/Ter119−) and cytospins. Erythroblasts were subjected to terminal maturation in differentiation medium composed of IMDM (Gibco, Thermo Fisher Scientific, Reinach, Switzerland), 1% P/S, 10% FCS, 10% PFHMII (Gibco, Thermo Fisher Scientific, Reinach, Switzerland), 5% hPDS (0.45 µM filtered, Blood donation service, University Hospital Basel), monothioglycerol (Sigma Aldrich, Buchs, Switzerland), 100 ng/ml mSCF and 2 U/ml hEpo.
Retroviral gene transfer
Full-length cDNAs for murine Nsd1 (pSG5) was obtained from R. Losson (Strasbourg). Wild type (Nsd1) and a catalytically inactive (Nsd1N1918Q) mutant ORF were cloned into the murine stem cell virus (pMSCV) expression vector and sequence verified. A retrovirus (pLMP) encoding for an SKI-specific mir-shRNA was a gift from M. Hayman (Bufallo, NY). A full-length cDNA for murine Gata1 was obtained from T. Mercher (Paris) and cloned into pMSCV and sequenced verified. Retroviral stocks were produced by transient co-transfection of packaging vectors (pIPAK6) and respective plasmids using Turbofect or Jetprime transfection reagent (Life Technologies, Paisley, UK) in HEK293T-LX cells kept in DMEM (Gibco, Lubio, Thermo Fisher Scientific, Reinach, Switzerland) with 10% FSC and 1% P/S. Viral supernatants were harvested 48 and 72 h after transfection, 10× Vivaspin 20 (Sartorius, Göttingen, Germany) concentrated at 4000 r.p.m. for 40 min at 4 °C and snap frozen in liquid nitrogen and stored in −80 °C until usage. Cells were spin-infected either in StemSpan SFEM, supplemented with 50 ng/ml hTPO (Peprotech, London, UK) and 50 ng/ml mSCF or in maintenance medium used for erythroblast culture as described above, in the presence of 5 µg/ml polybrene (Sigma Aldrich, Buchs, Switzerland) with virus for 90 min, 2500 rpm at 30 °C. Four hours after spin infection, the cells were washed with PBS and plated in maintenance medium. Two days after spin infection, the cells were selected with 2 µg/ml puromycin (Gibco, Thermo Fisher Scientific, Reinach, Switzerland) or EGFP+ cells were FACS enriched as described before. Information regarding the used plasmids can be found in Supplementary Table 8.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
We thank P. Schär, D. Schürmann, S. Kaspar, M. Florescu, D. Jankovic, E. Paraskevopoulou, B. Schlegelberger, P. Lundberg, R. Skoda, M. Kristiansen, C. Porcher, P. Vyas, P. Fillipakopoulos, A. Jeltsch, S. Kudithipudi, L. Steiner, S. Atanasoski, A. Schmidt, D. Labes, E. Traunecker, N. Meier, B. Fahrenkrog, L. Brault, T. Pabst, R. Hasserjian, and M. Hayman for reagents and/or other support of this study. We also appreciate the service of the flow- and animal experimentation facilities of the DBM & FMI, and we particularly thank Tianke Wang, Fred Zilbermann, Patrick Kopp, and Jean-Francois Spetz for the generation of the Nsdf/f mouse strain from the Nsd1+/L3 allele. This work was supported by funding from the Swiss Cancer League (SKL): KFS-3487-08-2014 and KFS-4258-08-2017; the Swiss National Science Foundation (SNF, 31003_A_173224/1), the Gertrude Von Meissner Foundation Basel, the Novartis Biomedical Research Foundation, Basel, the San Salvatore Foundation, Lugano (201525), and the Wilhelm-Sander Foundation, München (2017-035.1).
Author contributions
K.L., M.A., S.T., and F.O.B. planned, performed, analyzed research, and wrote the manuscript; C.T., S.J., T.B., H.M., and M.F.B., performed and analyzed research; A.T., R.I., and R.L. provided services and/or critical material; A.H.F.M.P. and T.M. supervised research and wrote the manuscript; J.S., planned, performed, analyzed research, supervised the project, and wrote the manuscript.
Data availability
The RNA raw expression data are accessible with the following number GSE136811. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifierPXD017657 (ref. 65).
Competing interests
The authors declare no competing interests.
Footnotes
Peer review information Nature Communications thanks Emery Bresnick and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Katharina Leonards, Marwa Almosailleakh, Samantha Tauchmann, Frederik Otzen Bagger.
Deceased: Régine Losson.
Supplementary information
Supplementary information is available for this paper at 10.1038/s41467-020-16179-8.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The RNA raw expression data are accessible with the following number GSE136811. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifierPXD017657 (ref. 65).