Correct nervous system development depends on the timely differentiation of progenitor cells into neurons. While the output of progenitor differentiation is well investigated at the population and clonal level, how stereotypic or variable fate decisions are during development is still more elusive. To fill this gap, we here follow the fate outcome of single neurogenic progenitors in the zebrafish retina over time using live imaging. We find that neurogenic progenitor divisions produce two daughter cells, one of deterministic and one of probabilistic fate. Interference with the deterministic branch of the lineage affects lineage progression. In contrast, interference with fate probabilities of the probabilistic branch results in a broader range of fate possibilities than in wild-type and involves the production of any neuronal cell type even at non-canonical developmental stages. Combining the interference data with stochastic modelling of fate probabilities revealed that a simple gene regulatory network is able to predict the observed fate decision probabilities during wild-type development. These findings unveil unexpected lineage flexibility that could ensure robust development of the retina and other tissues.
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http://dx.doi.org/10.15252/embj.2022112657 | DOI Listing |
Dig Dis Sci
December 2024
Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, CA, USA.
Background And Aims: Ulcerative colitis (UC) can be treated with infliximab (IFX). Therapeutic drug monitoring (TDM) can yield superior outcomes, but its cost-effectiveness is unknown.
Methods: We used a decision analytic Markov model to conduct a cost-effectiveness analysis comparing proactive TDM, reactive TDM, no TDM, and combinations of proactive and reactive TDM in 25-year-old patients with UC started on IFX.
Nat Comput Sci
December 2024
School of Integrated Circuits, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.
Labeling data is a time-consuming, labor-intensive and costly procedure for many artificial intelligence tasks. Deep Bayesian active learning (DBAL) boosts labeling efficiency exponentially, substantially reducing costs. However, DBAL demands high-bandwidth data transfer and probabilistic computing, posing great challenges for conventional deterministic hardware.
View Article and Find Full Text PDFInt J Cardiol
December 2024
Department of Cardiothoracic Surgery, Stanford University School of Medicine, 870 Quarry Rd, Palo Alto, CA 94304, USA.
Background: Only 3 % of children in sub-Saharan Africa with congenital heart disease (CHD) have access to life-saving surgery. There is an urgent need to scale up the volume of cardiac procedures. Cost-utility analysis can assess the health economic impacts of performing congenital heart surgery in this region.
View Article and Find Full Text PDFJ Gynecol Obstet Hum Reprod
December 2024
Assistance Publique-Hospitals of Paris, Department of Gynecological and Breast Surgery and Oncology, Pitié Salpêtrière Hospital, Paris, France; University Institute of Cancer (IUC), AP-HP, Sorbonne University, Paris, France; Saint-Antoine Research Center (CRSA), INSERM UMR_S_938, Biology and Therapeutics of Cancer, Sorbonne University, Paris, France. Electronic address:
Introduction: Fibroids are the most common benign uterine tumors. There are different possibilities for surgical approaches, and evaluating the cost of these operations is fundamental in modern surgery. The aim of our study is to evaluate the cost-effectiveness of robotic-assisted myomectomy (RAM) compared to open myomectomy (OM) in France.
View Article and Find Full Text PDFBackground: Pathogen reduction technology (PRT) is an intervention designed to proactively reduce the amount of known and unknown pathogens in donated blood. As current screening for known pathogens is highly effective, some previous evaluations have found that the value of PRT largely hinges on a previously unknown pathogen, most likely a novel virus, emerging and entering the blood supply. In such situations, the risk of emergence can and should be modeled and presented transparently in the cost-effectiveness results for deliberation by decision-makers.
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