ReviewCurrent opinion in genetics & development2023
Principles of genome activation in the early embryo.
Review in Current opinion in genetics & development, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 11 citations in OpenAlex.
- MicroRNAs as Regulators of Reproductive Function: From Gametogenesis to Pregnancy.Journal of developmental biology · 2026Review
- The multi-omics regulatory landscape of human early embryogenesis.Cellular and molecular life sciences : CMLS · 2026Review
- Maternal IntS11 primes embryonic totipotency by organizing early zygotic transcription initiation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Asymmetrical chromosomal utilization during zygotic genome activation.Frontiers in bioinformatics · 2026Article
- Regulation of zygotic genome activation by the nucleocytoplasmic ratio.Frontiers in cell and developmental biology · 2026Review
- Nuclear Dynamics and Its Timing Regulation Revealed by Live-Cell Imaging.Advances in experimental medicine and biology · 2026Review
- Deciphering Sequence Determinants of Zygotic Genome Activation Genes: Insights From Machine Learning and the ZGAExplorer Platform.Cell proliferation · 2025Article
- Maternal histone mRNAs are uniquely processed through polyadenylation in a Stem-Loop Binding Protein (SLBP) dependent manner.Nucleic acids research · 2025Article
- H3K4me3 Genome-Wide Distribution and Transcriptional Regulation of Transposable Elements by RNA Pol2 Deposition.International journal of molecular sciences · 2024Article
- In Vitro Models of Cardiovascular Disease: Embryoid Bodies, Organoids and Everything in Between.Biomedicines · 2024Review
- HIRA and dPCIF1 coordinately establish totipotent chromatin and control orderly ZGA inProceedings of the National Academy of Sciences of the United States of America · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
A major hurdle in an embryo's life is the initiation of its own transcriptional program, a process termed Zygotic Genome Activation (ZGA). In many species, ZGA is intricately timed, with bulk transcription initiating at the end of a series of reductive cell divisions when cell cycle duration increases. At the same time, major changes in genome architecture give rise to chromatin states that are permissive to RNA polymerase II activity. Yet, we still do not understand the series of events that trigger gene expression at the right time and in the correct sequence. Here we discuss new discoveries that deepen our understanding of how zygotic genes are primed for transcription, and how these events are regulated by the cell cycle and nuclear import. Finally, we speculate on the evolutionary basis of ZGA timing as an exciting future direction for the field.
Indexed as
Identifiers
What OpenQuestion holds
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.