Increased Early-Mortality in Children With Solid Tumors During the COVID-19 Pandemic in a Middle-Income Country.

Background: Measures to control COVID-19 transmission disrupted childhood cancer care. Data on the effects of the COVID-19 pandemic on childhood cancer mortality are lacking. This study describes the impact of the pandemic on childhood cancer early-mortality (≤ 24 months).

Identification of Plant Chromatin Interaction Networks Using IP-MS and co-IP.

Proteins often act in concert to perform their function. Thus, the identification of protein complexes is crucial if we want to understand how they work. In this chapter, we present a highly sensitive protocol for the immunoprecipitation of nuclear chromatin-linked proteins in Arabidopsis thaliana that does not rely on time-consuming nuclei extraction.

Reorganization of the flagellum scaffolding induces a sperm standstill during fertilization.

Mammalian sperm delve into the female reproductive tract to fertilize the female gamete. The available information about how sperm regulate their motility during the final journey to the fertilization site is extremely limited. In this work, we investigated the structural and functional changes in the sperm flagellum after acrosomal exocytosis (AE) and during the interaction with the eggs.

Self-association and multimer formation in AtLEA4-5, a desiccation-induced intrinsically disordered protein from plants.

During seed maturation, plants may experience severe desiccation, leading to the accumulation of late embryogenesis abundant (LEA) proteins. These intrinsically disordered proteins also accumulate in plant tissues under water deficit. Functional roles of LEA proteins have been proposed based on in vitro studies, where monomers are considered as the functional units.

Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights.

Background: Data sciences and artificial intelligence are becoming encouraging tools in assisted reproduction, favored by time-lapse technology incubators. Our objective is to analyze, compare and identify the most predictive machine learning algorithm developed using a known implantation database of embryos transferred in our egg donation program, including morphokinetic and morphological variables, and recognize the most predictive embryo parameters in order to enhance IVF treatments clinical outcomes.

Methods: Multicenter retrospective cohort study carried out in 378 egg donor recipients who performed a fresh single embryo transfer during 2021.