Embryo splitting is one of the newest developed methods in reproductive biotechnology. In this method, after splitting embryos in 2-, 4-, and even 8-cell stages, every single blastomere can be developed separately, but the embryos are genetically identical. Embryo splitting, as an approach in reproductive cloning, is extensively employed in reproductive medicine studies, such as investigating human diseases, treating sterility, embryo donation, and gene therapy. In the present study, cloning in mammalians and cloning approaches are briefly reviewed. In addition, embryo splitting and the methods commonly used in embryo splitting and recent achievements in this field, as well as the applications of embryo splitting into livestock species, primate animals, and humans, are outlined. Finally, a perspective of embryo splitting is provided as the conclusion.
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http://dx.doi.org/10.1155/2021/2347506 | DOI Listing |
Sci Rep
December 2024
Leiden University Center for Infectious Diseases (LUCID), Leiden University Medical Center (LUMC), Albinusdreef 2, 2333ZA, Leiden, Zuid-Holland, The Netherlands.
Antibody glycosylation patterns can affect antibody functionality and thereby contribute to protection against invading pathogens. During pregnancy, maternal antibodies can be transferred through the placenta and contribute to modulating both the mother's and her child's immune responses. Although several studies of IgG glycosylation during pregnancy have been carried out, very few cohorts studied were from sub-Saharan Africa, where exposure to microorganisms and parasites is high.
View Article and Find Full Text PDFBackground: Batoids possess a unique body plan associated with a benthic lifestyle that includes dorsoventral compression and anteriorly expanded pectoral fins that fuse to the rostrum. The family Myliobatidae, including manta rays and their relatives, exhibit further modifications associated with invasion of the pelagic environment, and the evolution of underwater flight. Notably, the pectoral fins are split into two domains with independent functions that are optimized for feeding and oscillatory locomotion.
View Article and Find Full Text PDFJ Assist Reprod Genet
December 2024
Department of Obstetrics and Gynecology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Purpose: Map the nuclear error phenotypes in the two-cell embryo after assisted reproduction using time lapse images and the effect on good quality blastocyst formation.
Methods: Retrospective cohort study using time lapse images, categorizing 2331 two-cell embryos from 392 patient couples and 504 ART cycles categorizing each embryo as mononucleated, multinucleated, micronucleated, binucleated, split nucleation or mixed error. Correlating nuclear error phenotype with good quality blastocyst formation rate (BFR) using contingency tables and unadjusted odds ratio.
JBRA Assist Reprod
December 2024
Örebro University Department of Obstetrics and Gynecology Faculty of Medicine and Health Örebro Sweden Department of Obstetrics and Gynecology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Objective: Clinical validation of sperm selection device ZyMōt™ for standard IVF.
Methods: The pre-clinical validation of ZyMōt™ included several steps. First, split semen preparation compared density gradient centrifugation (DGC) to ZyMōt™ with primary outcome fraction and absolute number of progressive motile sperm.
Front Endocrinol (Lausanne)
December 2024
Department of Reproductive Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Purpose: This study aims to create and validate a clinical model that predict the probability of blastocyst formation in IVF/ICSI-ET cycles.
Methods: This study employed a retrospective methodology, gathering data from 4961 cleavage-stage embryos that cultured in the reproductive center's of the Fourth Hospital of Hebei Medical University between June 2020 and March 2024. 3472 were in the training set and 1489 were in the validation set when it was randomly split into the training set and validation set in a 7:3 ratio.
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