Copy number variants (CNVs) are major contributors to genomic imbalance disorders. Phenotyping of 137 unrelated deletion and reciprocal duplication carriers of the distal 16p11.2 220 kb BP2-BP3 interval showed that these rearrangements are associated with autism spectrum disorders and mirror phenotypes of obesity/underweight and macrocephaly/microcephaly. Such phenotypes were previously associated with rearrangements of the non-overlapping proximal 16p11.2 600 kb BP4-BP5 interval. These two CNV-prone regions at 16p11.2 are reciprocally engaged in complex chromatin looping, as successfully confirmed by 4C-seq, fluorescence in situ hybridization and Hi-C, as well as coordinated expression and regulation of encompassed genes. We observed that genes differentially expressed in 16p11.2 BP4-BP5 CNV carriers are concomitantly modified in their chromatin interactions, suggesting that disruption of chromatin interplays could participate in the observed phenotypes. We also identified cis- and trans-acting chromatin contacts to other genomic regions previously associated with analogous phenotypes. For example, we uncovered that individuals with reciprocal rearrangements of the trans-contacted 2p15 locus similarly display mirror phenotypes on head circumference and weight. Our results indicate that chromosomal contacts’ maps could uncover functionally and clinically related genes.

Cellular identity is not driven by differences in genomic content but rather by epigenomic, transcriptomic, and proteomic heterogeneity. Although regulation of the epigenome plays a key role in shaping stem cell hierarchies, differential expression of transcripts only partially explains protein abundance. The epitranscriptome, translational control, and protein degradation have emerged as fundamental regulators of proteome complexity that regulate stem cell identity and function. Here, we discuss how post-transcriptional mechanisms enable stem cell homeostasis and responsiveness to developmental cues and environmental stressors by rapidly shaping the content of their proteome and how these processes are disrupted in pre-malignant and malignant states. Poly(A)-binding protein (PABP) RNA-binding protein that binds to the poly(A) tail of eukaryotic mRNA eIF4 binding protein (4E-BP) binds and sequesters the cap-binding translation initiation factor eIF4E to suppress protein synthesis Ribosomopathies diseases that are associated with mutations in ribosomal genes ER unfolded protein response (UPR ER ) stress response pathway activated by the accumulation of unfolded/misfolded proteins in the endoplasmic reticulum Mitochondrial unfolded protein response (UPR MT ) stress response pathway activated by the accumulation of unfolded/misfolded proteins in the mitochondria Heat shock response stress response pathway activated by the accumulation of unfolded/misfolded proteins in the cytoplasm Ubiquitin-proteasome system cellular protein degradation system in which proteins destined for degradation are ubiquitinated and degraded by the proteasome Cancer stem cells a subset of cancer cells that can self-renew and differentiate into cells that comprise the tumor, thus contributing to tumorigenesis

A prevalent eukaryotic N 6 -methyladensosine (m 6 A) post-transcriptional mark can be ''erased'' by the m 6 A demethylase FTO, which is commonly deregulated in acute myeloid leukemia (AML). In this issue of Cancer Cell, Huang et al. design small-molecule FTO inhibitors, FB23 and FB23-2, and demonstrate their potent inhibitory impact in AML models.

Splicing factor (SF) mutations are important contributors to the pathogenesis of hematological malignancies; however, their relevance in risk classification of acute myeloid leukemia (AML) warrants further investigation. To gain more insight into the characteristics of patients with AML carrying SF mutations, we studied their association with clinical features, cytogenetic and molecular abnormalities, and clinical outcome in a large cohort of 1447 patients with AML and high-risk myelodysplastic syndrome. SF mutations were identified in 22% of patients and were associated with multiple unfavorable clinical features, such as older age, antecedent myeloid disorders, and adverse risk factors (mutations in RUNX1 and ASXL1). Furthermore, they had significantly shorter event-free and overall survival. Notably, in European LeukemiaNet (ELN) 2017 favorable- and intermediate-risk groups, SF3B1 mutations were indicative of relatively poor prognosis. In addition, patients carrying concomitant SF mutations and RUNX1 mutations had a particularly adverse prognosis. In patients without any of the 4 most common SF mutations, RUNX1 mutations were associated with relatively good outcome, which was comparable to that of intermediate-risk patients. In this study, we propose that SF mutations be considered for incorporation into prognostic classification systems. First, SF3B1 mutations could be considered an intermediate prognostic factor when co-occurring with favorable risk features and as an adverse prognostic factor for patients currently categorized as having intermediate risk, according to the ELN 2017 classification. Second, the prognostic value of the current adverse factor RUNX1 mutations seems to be limited to its co-occurrence with SF mutations.