Faculty Bibliography

In B lymphopoiesis, activation of the pre-B cell antigen receptor (pre-BCR) is associated with both cell cycle exit and Igk recombination. Yet how the pre-BCR mediates these functions remains unclear. Here, we demonstrate that the pre-BCR initiates a feed-forward amplification loop mediated by the transcription factor interferon regulatory factor 4 and the chemokine receptor C-X-C motif chemokine receptor 4 (CXCR4). CXCR4 ligation by C-X-C motif chemokine ligand 12 activates the mitogen-activated protein kinase extracellular-signal-regulated kinase, which then directs the development of small pre- and immature B cells, including orchestrating cell cycle exit, pre-BCR repression, Igk recombination and BCR expression. In contrast, pre-BCR expression and escape from interleukin-7 have only modest effects on B cell developmental transcriptional and epigenetic programs. These data show a direct and central role for CXCR4 in orchestrating late B cell lymphopoiesis. Furthermore, in the context of previous findings, our data provide a three-receptor system sufficient to recapitulate the essential features of B lymphopoiesis in vitro.

Background/UNASSIGNED:as a candidate gene in which mutations might be contributing to clonal expansion. Methods/UNASSIGNED:genes in 19 patients with large PNH clones. Results/UNASSIGNED:in multiple hematopoietic lineages, which was detectable upon repeat testing. This patient has had severe thromboses and has relatively higher peripheral blood counts compared with the other patients-but does not have other features of a myeloproliferative neoplasm. Conclusions/UNASSIGNED:may contribute to clonal expansion in exceptional cases of PNH.

As with most cancer types, there remains a subset of B-cell acute lymphoblastic leukaemia (B-ALL) patients who will relapse and succumb to therapy-resistant disease. It is believed that tumour heterogeneity underpins therapy failure leading to a Darwinian model of clonal evolution, however, such studies do not account for the role of the bone marrow microenvironment in supporting leukaemia survival, progression and escape from treatment. Here, we perform single-cell RNA-Sequencing (scRNA-Seq) to generate a comprehensive map of the primary human B-ALL bone marrow immune microenvironment throughout three distinct stages of the human leukemic disease process: diagnosis, remission and relapse. These studies show extensive re-modelling of the immune microenvironment composition and cell-to-cell interactions throughout the course conventional chemotherapy, and uncover a role for inflammatory leukaemia-associated monocytes in promoting B-ALL pathogenesis in vivo. These monocytic subsets are predictive of Ph+ B-ALL patient event-free survival and when targeted in B-ALL animal models, lead to prolonged disease remission. Our profiling of the human B-ALL bone marrow immune microenvironment provides a greater understanding of the potential extrinsic regulators of B-ALL survival and may highlight previously unknown environmental factors influencing immune-based treatment approaches to high-risk B-ALL.

Epigenetic dysregulation plays a profound role in the pathogenesis of hematological malignancies, which is often the result of somatic mutations of chromatin regulators. Previously, these mutations were largely considered to alter gene expression in two dimensions, by activating or repressing chromatin states; however, research in the last decade has highlighted the increasing impact of the 3D organization of the genome in gene regulation and disease pathogenesis. Here, we summarize the current principles of 3D chromatin organization, how the integrity of the 3D genome governs immune cell development and malignant transformation, as well as how underlying (epi-)genetic drivers of 3D chromatin alterations might act as potential novel therapeutic targets for hematological malignancies.

The response to systemic infection and injury requires the rapid adaptation of hematopoietic stem cells (HSCs), which proliferate and divert their differentiation toward the myeloid lineage. Significant interest has emerged in understanding the signals that trigger the emergency hematopoietic program. However, the mechanisms that halt this response of HSCs, which is critical to restore homeostasis, remain unknown. Here we reveal that the E3 ubiquitin ligase Speckle-type BTB-POZ protein (SPOP) restrains the inflammatory activation of HSCs. In the absence of Spop, systemic inflammation proceeded in an unresolved manner, and the sustained response in the HSCs resulted in a lethal phenotype reminiscent of hyper-inflammatory syndrome or sepsis. Our proteomic studies decipher that SPOP restricted inflammation by ubiquitinating the innate signal transducer myeloid differentiation primary response protein 88 (MYD88). These findings unearth an HSC-intrinsic post-translational mechanism that is essential for reestablishing homeostasis after emergency hematopoiesis.

A major challenge in cancer treatment is predicting the clinical response to anti-cancer drugs on a personalized basis. The success of such a task largely depends on the ability to develop computational resources that integrate big "omic" data into effective drug-response models. Machine learning is both an expanding and an evolving computational field that holds promise to cover such needs. Here we provide a focused overview of: 1) the various supervised and unsupervised algorithms used specifically in drug response prediction applications, 2) the strategies employed to develop these algorithms into applicable models, 3) data resources that are fed into these frameworks and 4) pitfalls and challenges to maximize model performance. In this context we also describe a novel in silico screening process, based on Association Rule Mining, for identifying genes as candidate drivers of drug response and compare it with relevant data mining frameworks, for which we generated a web application freely available at: https://compbio.nyumc.org/drugs/. This pipeline explores with high efficiency large sample-spaces, while is able to detect low frequency events and evaluate statistical significance even in the multidimensional space, presenting the results in the form of easily interpretable rules. We conclude with future prospects and challenges of applying machine learning based drug response prediction in precision medicine.

An Amendment to this paper has been published and can be accessed via a link at the top of the paper.

The BCL-2 family plays important roles in acute myeloid leukemia (AML). Venetoclax, a selective BCL-2 inhibitor, has received FDA approval for the treatment of AML. However, drug resistance ensues after prolonged treatment, highlighting the need for a greater understanding of the underlying mechanisms. Using a genome-wide CRISPR/Cas9 screen in human AML, we identified genes whose inactivation sensitizes AML blasts to Venetoclax. Genes involved in mitochondrial organization and function were significantly depleted throughout our screen, including the mitochondrial chaperonin CLPB. We demonstrated that CLPB is upregulated in human AML, it is further induced upon acquisition of Venetoclax resistance and its ablation sensitizes AML to Venetoclax. Mechanistically, CLPB maintains the mitochondrial cristae structure via its interaction with the cristae-shaping protein OPA1, whereas its loss promotes apoptosis by inducing cristae remodeling and mitochondrial stress responses. Overall, our data suggest that targeting mitochondrial architecture may provide a promising approach to circumvent Venetoclax resistance.

Cardiac metabolism affects systemic energetic balance. Previously, we showed that Krüppel-like factor (KLF)-5 regulates cardiomyocyte PPARα and fatty acid oxidation-related gene expression in diabetes. We surprisingly found that cardiomyocyte-specific KLF5 knockout mice (αMHC-KLF5^-/-) have accelerated diet-induced obesity, associated with increased white adipose tissue (WAT). Alterations in cardiac expression of the mediator complex subunit 13 (Med13) modulates obesity. αMHC-KLF5^-/- mice had reduced cardiac Med13 expression likely because KLF5 upregulates Med13 expression in cardiomyocytes. We then investigated potential mechanisms that mediate cross-talk between cardiomyocytes and WAT. High fat diet-fed αMHC-KLF5^-/- mice had increased levels of cardiac and plasma FGF21, while food intake, activity, plasma leptin, and natriuretic peptides expression were unchanged. Consistent with studies reporting that FGF21 signaling in WAT decreases sumoylation-driven PPARγ inactivation, αMHC-KLF5^-/- mice had less SUMO-PPARγ in WAT. Increased diet-induced obesity found in αMHC-KLF5^-/- mice was absent in αMHC-[KLF5^-/-;FGF21^-/-] double knockout mice, as well as in αMHC-FGF21^-/- mice that we generated. Thus, cardiomyocyte-derived FGF21 is a component of pro-adipogenic crosstalk between heart and WAT.