Lineage-based identification of cellular states and expression programs

We present a method, LineageProgram, that uses the developmental lineage relationship of observed gene expression measurements to improve the learning of developmentally relevant cellular states and expression programs. We find that incorporating lineage information allows us to significantly improve both the predictive power and interpretability of expression programs that are derived from expression measurements from in vitro differentiation experiments. The lineage tree of a differentiation experiment is a tree graph whose nodes describe all of the unique expression states in the input expression measurements, and edges describe the experimental perturbations applied to cells. Our method, LineageProgram, is based on a log-linear model with parameters that reflect changes along the lineage tree. Regularization with L1 that based methods controls the parameters in three distinct ways: the number of genes change between two cellular states, the number of unique cellular states, and the number of underlying factors responsible for changes in cell state. The model is estimated with proximal operators to quickly discover a small number of key cell states and gene sets. Comparisons with existing factorization, techniques, such as singular value decomposition and non-negative matrix factorization show that our method provides higher predictive power in held, out tests while inducing sparse and biologically relevant gene sets.National Institutes of Health (U.S.) (P01-NS055923)National Institutes of Health (U.S.) (1-UL1-RR024920

MICA: a multi-omics method to predict gene regulatory networks in early human embryos

Recent advances in single-cell omics have transformed characterisation of cell types in challenging-to-study biological contexts. In contexts with limited single-cell samples, such as the early human embryo inference of transcription factor-gene regulatory network (GRN) interactions is especially difficult. Here, we assessed application of different linear or non-linear GRN predictions to single-cell simulated and human embryo transcriptome datasets. We also compared how expression normalisation impacts on GRN predictions, finding that transcripts per million reads outperformed alternative methods. GRN inferences were more reproducible using a non-linear method based on mutual information (MI) applied to single-cell transcriptome datasets refined with chromatin accessibility (CA) (called MICA), compared with alternative network prediction methods tested. MICA captures complex non-monotonic dependencies and feedback loops. Using MICA, we generated the first GRN inferences in early human development. MICA predicted co-localisation of the AP-1 transcription factor subunit proto-oncogene JUND and the TFAP2C transcription factor AP-2γ in early human embryos. Overall, our comparative analysis of GRN prediction methods defines a pipeline that can be applied to single-cell multi-omics datasets in especially challenging contexts to infer interactions between transcription factor expression and target gene regulation

The BCL-2 pathway preserves mammalian genome integrity by eliminating recombination-defective oocytes

DNA double-strand breaks (DSBs) are toxic to mammalian cells. However, during meiosis, more than 200 DSBs are generated deliberately, to ensure reciprocal recombination and orderly segregation of homologous chromosomes. If left unrepaired, meiotic DSBs can cause aneuploidy in gametes and compromise viability in offspring. Oocytes in which DSBs persist are therefore eliminated by the DNA-damage checkpoint. Here we show that the DNA-damage checkpoint eliminates oocytes via the pro-apoptotic BCL-2 pathway members Puma, Noxa and Bax. Deletion of these factors prevents oocyte elimination in recombination-repair mutants, even when the abundance of unresolved DSBs is high. Remarkably, surviving oocytes can extrude a polar body and be fertilised, despite chaotic chromosome segregation at the first meiotic division. Our findings raise the possibility that allelic variants of the BCL-2 pathway could influence the risk of embryonic aneuploidy

Assessment of renal damage in patients with multi-drug resistant strains of pneumonia treated with colistin

Background: Treatment of multi-drug-resistant strains of pneumonia with common antibiotics in renal patients is ine ective and physicians are compelled to use Colistin for such cases. Objectives: This study was conducted to assess the mortality, length of stay, and renal damages in the treatment of multi-drug-resistant pneumonia with Colistin among multiple trauma patients admitted to the emergency department and transferred to the ICU. Methods: This retrospective cohort study was conducted between 2011 and 2016. 102 multiple trauma (MT) patients with multidrug-resistant strains of hospital-acquired pneumonia (HAP) admitted to the emergency department then transferred to the ICU were assessed. All patients received Colistin according to their weight. Renal damage was evaluated according to the RIFLE criteria. The mortality and the length of stay were assessed. In order to statistically analyze the data, SPSS version 23 software was used to conduct t-test and chi-square test. Results: Out of 102 patients, 55 (54) died and 50 (49.1) developed acute renal failure; 64 cases had no hypertension. Patients according to the RIFLE index were assessed: Risk (11.01), Injury (14), Failure (18), Loss (6), and End-stage renal disease. The prevalence and prognosis of acute kidney injury in multiple trauma patients treated with Colistin were significantly correlated with drug dosage, body mass index, and use of corticosteroids (when assessed using relevant scoring systems, P < 0.05). Conclusions: The use of a scoring system in the intensive care unit, determining those patients requiring Colistin, and adjusting the dosage of this drug for treatment of MT patients with multi-drug resistant strains of HAP are vital. Creatinine levels must be carefully monitored. © 2018, Trauma Monthly

Genome editing reveals a role for OCT4 in human embryogenesis.

Despite their fundamental biological and clinical importance, the molecular mechanisms that regulate the first cell fate decisions in the human embryo are not well understood. Here we use CRISPR-Cas9-mediated genome editing to investigate the function of the pluripotency transcription factor OCT4 during human embryogenesis. We identified an efficient OCT4-targeting guide RNA using an inducible human embryonic stem cell-based system and microinjection of mouse zygotes. Using these refined methods, we efficiently and specifically targeted the gene encoding OCT4 (POU5F1) in diploid human zygotes and found that blastocyst development was compromised. Transcriptomics analysis revealed that, in POU5F1-null cells, gene expression was downregulated not only for extra-embryonic trophectoderm genes, such as CDX2, but also for regulators of the pluripotent epiblast, including NANOG. By contrast, Pou5f1-null mouse embryos maintained the expression of orthologous genes, and blastocyst development was established, but maintenance was compromised. We conclude that CRISPR-Cas9-mediated genome editing is a powerful method for investigating gene function in the context of human development.DW was supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre Programme. NK was supported by the University of Oxford Clarendon Fund. AB was supported by a British Heart Foundation PhD Studentship (FS/11/77/39327). LV was supported by core grant funding from the Wellcome Trust and Medical Research Council (PSAG028). J-SK was supported by the Institute for Basic Science (IBS-R021-D1). Work in the KKN and JMAT labs was supported by the Francis Crick Institute which receives its core funding from Cancer Research UK, the UK Medical Research Council, and the Wellcome Trust (FC001120 and FC001193)

Jmjd2c facilitates the assembly of essential enhancer-protein complexes at the onset of embryonic stem cell differentiation.

Jmjd2 H3K9 demethylases cooperate in promoting mouse embryonic stem cell (ESC) identity. However, little is known about their importance at the exit of ESC pluripotency. Here, we reveal that Jmjd2c facilitates this process by stabilising the assembly of mediator-cohesin complexes at lineage-specific enhancers. Functionally, we show that Jmjd2c is required in ESCs to initiate appropriate gene expression programs upon somatic multi-lineage differentiation. In the absence of Jmjd2c, differentiation is stalled at an early post-implantation epiblast-like stage, while Jmjd2c-knockout ESCs remain capable of forming extra-embryonic endoderm derivatives. Dissection of the underlying molecular basis revealed that Jmjd2c is re-distributed to lineage-specific enhancers during ESC priming for differentiation. Interestingly, Jmjd2c-bound enhancers are co-occupied by the H3K9-methyltransferase G9a (also known as Ehmt2), independently of its H3K9-modifying activity. Loss of Jmjd2c abrogates G9a recruitment and further destabilises loading of the mediator and cohesin components Med1 and Smc1a at newly activated and poised enhancers in ESC-derived epiblast-like cells. These findings unveil Jmjd2c and G9a as novel enhancer-associated factors, and implicate Jmjd2c as a molecular scaffold for the assembly of essential enhancer-protein complexes with an impact on timely gene activation.This work was supported by the Fundação para a Ciência e a Tecnologia (Portugal) (SFRH/BD/70242/2010), by the Genesis Research Trust (P55000), by the British Heart Foundation (PG/12/86/29930), by an Imperial College London President's PhD Scholarship (STU0082882), by the Centre National de la Recherche Scientifique, by the Medical Research Council (MR/K00090X/1 and MR/K500793/1), by the Wellcome Trust Sanger Institute, by the Francis Crick Institute [which receives its core funding from Cancer Research UK (FC001120), the UK Medical Research Council (FC001120) and the Wellcome Trust (FC001120)], by a European Research Council grant (ERC-2013-ADG, 339431 ‘SysStemCell’) and by Imperial College London. Deposited in PMC for immediate release

Self-organization of the human embryo in the absence of maternal tissues.

Remodelling of the human embryo at implantation is indispensable for successful pregnancy. Yet it has remained mysterious because of the experimental hurdles that beset the study of this developmental phase. Here, we establish an in vitro system to culture human embryos through implantation stages in the absence of maternal tissues and reveal the key events of early human morphogenesis. These include segregation of the pluripotent embryonic and extra-embryonic lineages, and morphogenetic rearrangements leading to generation of a bilaminar disc, formation of a pro-amniotic cavity within the embryonic lineage, appearance of the prospective yolk sac, and trophoblast differentiation. Using human embryos and human pluripotent stem cells, we show that the reorganization of the embryonic lineage is mediated by cellular polarization leading to cavity formation. Together, our results indicate that the critical remodelling events at this stage of human development are embryo-autonomous, highlighting the remarkable and unanticipated self-organizing properties of human embryos.This work was supported by the Wellcome Trust grant to M.Z- G. Work in Dr. K.K.N lab was supported by The Francis Crick Institute, which receives its core funding from Cancer Research UK, the Medical Research Council and the Wellcome Trust. Dr. M.N.S. was initially supported by a Ramon Areces Spanish Foundation Fellowship, and subsequently by an EMBO Postdoctoral Fellowship. Dr. S.V was supported by a Post Doc Pool Grant from the Finnish Cultural Foundation. Dr. GR was supported by a Newton Fellowship.This is the author accepted manuscript. It is currently under an indefinite embargo pending publication by Nature Publishing Group

A roadmap for the Human Developmental Cell Atlas

The Human Developmental Cell Atlas (HDCA) initiative, which is part of the Human Cell Atlas, aims to create a comprehensive reference map of cells during development. This will be critical to understanding normal organogenesis, the effect of mutations, environmental factors and infectious agents on human development, congenital and childhood disorders, and the cellular basis of ageing, cancer and regenerative medicine. Here we outline the HDCA initiative and the challenges of mapping and modelling human development using state-of-the-art technologies to create a reference atlas across gestation. Similar to the Human Genome Project, the HDCA will integrate the output from a growing community of scientists who are mapping human development into a unified atlas. We describe the early milestones that have been achieved and the use of human stem-cell-derived cultures, organoids and animal models to inform the HDCA, especially for prenatal tissues that are hard to acquire. Finally, we provide a roadmap towards a complete atlas of human development