ArticleMethods in molecular biology (Clifton, N.J.)2026
Extended In Vitro Culture of Human Embryos.
Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent innovations in extended in vitro culture (IVC) systems have revolutionized our understanding of human peri-implantation development. Building on foundational animal studies, refined protocols now support human embryo culture beyond the blastocyst stage, providing unprecedented access to previously elusive developmental events. These systems have yielded critical insights into early morphogenetic processes, lineage specification, and tissue organization, significantly advancing developmental biology. Here, we provide our current protocol for the extended culture of human embryos, followed by immunofluorescence for lineage markers of interest. Unveiling human peri-implantation development also promises to improve reproductive medicine, potentially addressing challenges related to implantation failure, chromosomal instability in embryos, as well as congenital disorders. Insights gained from this research may pave way for novel therapeutic approaches and advancements in medically assisted reproduction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.