Histone 3 K4 trimethylation (depositing H3K4me3 marks) is typically associated with active promoters yet paradoxically occurs at untranscribed domains. Research to delineate the mechanisms of targeting H3K4 methyltransferases is ongoing. The oocyte provides an attractive system to investigate these mechanisms, because extensive H3K4me3 acquisition occurs in nondividing cells. We developed low-input chromatin immunoprecipitation to interrogate H3K4me3, H3K27ac and H3K27me3 marks throughout oogenesis. In nongrowing oocytes, H3K4me3 was restricted to active promoters, but as oogenesis progressed, H3K4me3 accumulated in a transcription-independent manner and was targeted to intergenic regions, putative enhancers and silent H3K27me3-marked promoters. Ablation of the H3K4 methyltransferase gene Mll2 resulted in loss of transcription-independent H3K4 trimethylation but had limited effects on transcription-coupled H3K4 trimethylation or gene expression. Deletion of Dnmt3a and Dnmt3b showed that DNA methylation protects regions from acquiring H3K4me3. Our findings reveal two independent mechanisms of targeting H3K4me3 to genomic elements, with MLL2 recruited to unmethylated CpG-rich regions independently of transcription.
- MeSH
- Chromatin Immunoprecipitation MeSH
- CpG Islands MeSH
- Transcription, Genetic MeSH
- Histone-Lysine N-Methyltransferase chemistry MeSH
- Histones chemistry MeSH
- Markov Chains MeSH
- DNA Methylation * MeSH
- Multivariate Analysis MeSH
- Mouse Embryonic Stem Cells cytology MeSH
- Mice, Inbred C57BL MeSH
- Mice, Knockout MeSH
- Mice MeSH
- Oocytes cytology MeSH
- Oogenesis MeSH
- Promoter Regions, Genetic MeSH
- Myeloid-Lymphoid Leukemia Protein chemistry MeSH
- Sequence Analysis, RNA MeSH
- Animals MeSH
- Check Tag
- Mice MeSH
- Female MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Kabuki syndrome is mainly caused by dominant de-novo pathogenic variants in the KMT2D and KDM6A genes. The clinical features of this syndrome are highly variable, making the diagnosis of Kabuki-like phenotypes difficult, even for experienced clinical geneticists. Herein we present molecular genetic findings of causal genetic variation using array comparative genome hybridization and a Mendeliome analysis, utilizing targeted exome analysis focusing on regions harboring rare disease-causing variants in Kabuki-like patients which remained KMT2D/KDM6A-negative. The aCGH analysis revealed a pathogenic CNV in the 14q11.2 region, while targeted exome sequencing revealed pathogenic variants in genes associated with intellectual disability (HUWE1, GRIN1), including a gene coding for mandibulofacial dysostosis with microcephaly (EFTUD2). Lower values of the MLL2-Kabuki phenotypic score are indicative of Kabuki-like phenotype (rather than true Kabuki syndrome), where aCGH and Mendeliome analyses have high diagnostic yield. Based on our findings we conclude that for new patients with Kabuki-like phenotypes it is possible to choose a specific molecular testing approach that has the highest detection rate for a given MLL2-Kabuki score, thus fostering more precise patient diagnosis and improved management in these genetically- and phenotypically heterogeneous clinical entities.
- MeSH
- Child MeSH
- DNA-Binding Proteins genetics MeSH
- Peptide Elongation Factors genetics MeSH
- Exome MeSH
- Phenotype * MeSH
- Genetic Heterogeneity * MeSH
- Genotype * MeSH
- Histone Demethylases genetics MeSH
- Nuclear Proteins genetics MeSH
- Hematologic Diseases diagnosis genetics physiopathology MeSH
- Humans MeSH
- Chromosomes, Human, Pair 14 MeSH
- Ribonucleoprotein, U5 Small Nuclear genetics MeSH
- Mandibulofacial Dysostosis genetics MeSH
- Intellectual Disability genetics MeSH
- Microcephaly genetics MeSH
- Abnormalities, Multiple diagnosis genetics physiopathology MeSH
- Neoplasm Proteins genetics MeSH
- Tumor Suppressor Proteins genetics MeSH
- Face abnormalities physiopathology MeSH
- Child, Preschool MeSH
- Nerve Tissue Proteins genetics MeSH
- Receptors, N-Methyl-D-Aspartate genetics MeSH
- Comparative Genomic Hybridization MeSH
- Ubiquitin-Protein Ligases genetics MeSH
- Vestibular Diseases diagnosis genetics physiopathology MeSH
- High-Throughput Nucleotide Sequencing MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Male MeSH
- Child, Preschool MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Case Reports MeSH
Kabuki syndrome (KS) is a dominantly inherited disorder mainly due to de novo pathogenic variation in KMT2D or KDM6A genes. Initially, a representative cohort of 14 Czech cases with clinical features suggestive of KS was analyzed by experienced clinical geneticists in collaboration with other specialties, and observed disease features were evaluated according to the 'MLL2-Kabuki score' defined by Makrythanasis et al. Subsequently, the aforementioned genes were Sanger sequenced and copy number variation analysis was performed by MLPA, followed by genome-wide array CGH testing. Pathogenic variants in KMT2D resulting in protein truncation in 43% (6/14; of which 3 are novel) of all cases were detected, while analysis of KDM6A was negative. MLPA analysis was negative in all instances. One female patient bears a 6.6 Mb duplication of the Xp21.2-Xp21.3 region that is probably disease causing. Subjective KS phenotyping identified predictive clinical features associated with the presence of a pathogenic variant in KMT2D. We provide additional evidence that this scoring approach fosters prioritization of patients prior to KMT2D sequencing. We conclude that KMT2D sequencing followed by array CGH is a diagnostic strategy with the highest diagnostic yield.
- MeSH
- Child MeSH
- DNA-Binding Proteins genetics MeSH
- Phenotype MeSH
- Genome, Human MeSH
- Histone Demethylases genetics MeSH
- Nuclear Proteins genetics MeSH
- Infant MeSH
- Hematologic Diseases diagnosis genetics physiopathology MeSH
- Humans MeSH
- Adolescent MeSH
- Abnormalities, Multiple diagnosis genetics physiopathology MeSH
- Neoplasm Proteins genetics MeSH
- Face abnormalities physiopathology MeSH
- Child, Preschool MeSH
- Comparative Genomic Hybridization MeSH
- Vestibular Diseases diagnosis genetics physiopathology MeSH
- Check Tag
- Child MeSH
- Infant MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Child, Preschool MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic MeSH
Most relapses of acute lymphoblastic leukemia (ALL) occur in patients with a medium risk (MR) for relapse on the Associazione Italiana di Ematologia e Oncologia Pediatrica and Berlin-Frankfurt-Münster (AIEOP-BFM) ALL protocol, based on persistence of minimal residual disease (MRD). New insights into biological features that are associated with MRD are needed. Here, we identify the glycosylphosphatidylinositol-anchored cell surface protein vanin-2 (VNN2; GPI-80) by charting the cell surface proteome of MRD very high-risk (HR) B-cell precursor (BCP) ALL using a chemoproteomics strategy. The correlation between VNN2 transcript and surface protein expression enabled a retrospective analysis (ALL-BFM 2000; N = 770 cases) using quantitative polymerase chain reaction to confirm the association of VNN2 with MRD and independent prediction of worse outcome. Using flow cytometry, we detected VNN2 expression in 2 waves, in human adult bone marrow stem and progenitor cells and in the mature myeloid compartment, in line with proposed roles for fetal hematopoietic stem cells and inflammation. Prospective validation by flow cytometry in the ongoing clinical trial (AIEOP-BFM 2009) identified 10% (103/1069) of VNN2+ BCP ALL patients at first diagnosis, primarily in the MRD MR (48/103, 47%) and HR (37/103, 36%) groups, across various cytogenetic subtypes. We also detected frequent mutations in epigenetic regulators in VNN2+ ALLs, including histone H3 methyltransferases MLL2, SETD2, and EZH2 and demethylase KDM6A. Inactivation of the VNN2 gene did not impair leukemia repopulation capacity in xenografts. Taken together, VNN2 marks a cellular state of increased resistance to chemotherapy that warrants further investigations. Therefore, this marker should be included in diagnostic flow cytometry panels.
- MeSH
- Precursor Cell Lymphoblastic Leukemia-Lymphoma * drug therapy MeSH
- Amidohydrolases therapeutic use MeSH
- B-Lymphocytes MeSH
- Drug Resistance, Neoplasm * genetics MeSH
- Child MeSH
- GPI-Linked Proteins MeSH
- Hematopoietic Stem Cells MeSH
- Humans MeSH
- Cell Adhesion Molecules MeSH
- Prospective Studies MeSH
- Antineoplastic Combined Chemotherapy Protocols MeSH
- Retrospective Studies MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
The molecular pathogenesis of follicular lymphoma (FL) was partially revealed 3 decades ago, with the discovery of the translocation that brings BCL2 under the influence of immunoglobulin heavy chain enhancers in a vast majority of cases. Despite the importance of this seminal observation, it has become increasingly clear that additional genetic alterations need to occur to trigger neoplastic transformation and disease progression. The evolution of FL involves developmental arrest and disruption of the normal function of one or more of epigenetic regulators including KMT2D/MLL2, EZH2, CBP/CREBBP, p300/EP300, and HIST1H1 in >95% of cases. B-cells "arrested" in germinal centers acquire dozens of additional genetic aberrations that influence key pathways controlling their physiological development including B Cell Receptor (BCR) signaling, PI3K/AKT, TLR, mTOR, NF-κB, JAK/STAT, MAPK, CD40/CD40L, chemokine, and interleukin signaling. Additionally, most cases of FL do not result from linear accumulation of genomic aberrations, but rather evolve from a common progenitor cell population by diverse evolution, creating multiple FL subclones in one patient. Moreover, one of the subclones might acquire a combination of aberrations involving genes controlling cell survival and proliferation including MDM2, CDKN2A/B, BCL6, MYC, TP53, β2M, FOXO1, MYD88, STAT3, or miR-17-92, and this can lead to the transformation of an initially indolent FL to an aggressive lymphoma (2%-3% risk per year). The complexity of the disease is also underscored by the importance of its interactions with the microenvironment that can substantially influence disease development and prognosis. Interpreting individual aberrations in relation to their impact on normal processes, their frequency, position in the disease evolution, and the consequences of their (co)occurrence, are the basis for understanding FL pathogenesis. This is necessary for the identification of patients with risk of early progression or transformation, for the development of novel targeted therapies, and for personalized treatment approaches. In this review, we summarize recent knowledge of molecular pathways and microenvironmental components involved in FL biology, and discuss them in the context of physiological B-cell development, FL evolution, and targeted therapies.
- MeSH
- Biomarkers MeSH
- Epigenesis, Genetic MeSH
- Lymphoma, Follicular etiology metabolism pathology MeSH
- Humans MeSH
- RNA, Untranslated genetics MeSH
- Proto-Oncogene Proteins c-bcl-2 genetics metabolism MeSH
- Receptors, Antigen, B-Cell metabolism MeSH
- Gene Expression Regulation, Neoplastic MeSH
- Signal Transduction MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH