SynthesisAmerican journal of physiology. Cell physiology2021
Cross-species meta-analysis of transcriptome changes during the morula-to-blastocyst transition: metabolic and physiological changes take center stage.
Synthesis in American journal of physiology. Cell physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
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Who cites it
5 citing papers in PubMed.
- Embryonic Mediators of Embryo-Uterus Communication, Implantation and Pregnancy.Molecular reproduction and development · 2026Review
- Transcriptomic Meta-Analysis as a Framework for Robust Cross-Study Biological Inference.International journal of molecular sciences · 2026Review
- Meiotic maturation failure in primary ovarian insufficiency: insights from a bovine model.Journal of assisted reproduction and genetics · 2024Article
- Decoding the molecular pathways governing trophoblast migration and placental development; a literature review.Frontiers in endocrinology · 2024Review
- WNT and NOTCH signaling in human trophoblast development and differentiation.Cellular and molecular life sciences : CMLS · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The morula-to-blastocyst transition (MBT) culminates with formation of inner cell mass (ICM) and trophectoderm (TE) lineages. Recent studies identified signaling pathways driving lineage specification, but some features of these pathways display significant species divergence. To better understand evolutionary conservation of the MBT, we completed a meta-analysis of RNA sequencing data from five model species and ICMTE differences from four species. Although many genes change in expression during the MBT within any given species, the number of shared differentially expressed genes (DEGs) is comparatively small, and the number of shared ICMTE DEGs is even smaller. DEGs related to known lineage determining pathways (e.g.,
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Registered trials
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