Evidence map›Paper›PMID 35697785›Full record

ArticleNature cell biology2022

Ultrasensitive Ribo-seq reveals translational landscapes during mammalian oocyte-to-embryo transition and pre-implantation development.

Zhuqing Xiong, Kai Xu, Zili Lin, Feng Kong, Qiujun Wang, Yujun Quan, Qian-Qian Sha, Fajin Li, Zhuoning Zou, Ling Liu and 13 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 124 papers.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed
15.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

124 citing papers in PubMed, 180 citations in OpenAlex.

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  8. Subcellularly Resolved 3D Translatome in Mouse Oocytes and Early Embryos.bioRxiv : the preprint server for biology · 2026
    Article
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  20. mThe EMBO journal · 2026
    Article

64 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 9 institutions in 2 countries.

Zhuqing Xiong *Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Kai Xu *Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Zili Lin *College of Animal Science and Technology College, Beijing University of Agriculture, Beijing, China.
Feng Kong *Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Qiujun Wang *Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Yujun Quan *State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Qian-Qian ShaFertility Preservation Laboratory, Reproductive Medicine Center, Guangdong Second Provincial General Hospital, Guangzhou, China.
Fajin LiPeking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, School of Life Sciences, Tsinghua University, Beijing, China.
Zhuoning ZouCenter for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Ling LiuCenter for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Shuyan JiCenter for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Yuling ChenSchool of Life Sciences, Tsinghua University, Beijing, China.
Hongmei ZhangCenter for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Jianhuo FangTsinghua-Peking Center for Life Sciences, Beijing, China.
Guang YuCenter for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Bofeng LiuCenter for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Lijuan WangCenter for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Huili WangInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Haiteng DengSchool of Life Sciences, Tsinghua University, Beijing, China.
Xuerui YangMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Heng-Yu FanMOE Key Laboratory for Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling Network, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Lei LiState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China. lil@ioz.ac.cn.
Wei XieCenter for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China. xiewei121@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-2126-3849
Center for Life Sciences · CNTsinghua University · CNChinese Academy of Sciences · CNPeking University · CNBeijing University of Agriculture · CNGuangdong Provincial People's Hospital · CNJiangsu Academy of Agricultural Sciences · CNKing Center · USSir Run Run Shaw Hospital · CN

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

In mammals, translational control plays critical roles during oocyte-to-embryo transition (OET) when transcription ceases. However, the underlying regulatory mechanisms remain challenging to study. Here, using low-input Ribo-seq (Ribo-lite), we investigated translational landscapes during OET using 30-150 mouse oocytes or embryos per stage. Ribo-lite can also accommodate single oocytes. Combining PAIso-seq to interrogate poly(A) tail lengths, we found a global switch of translatome that closely parallels changes of poly(A) tails upon meiotic resumption. Translation activation correlates with polyadenylation and is supported by polyadenylation signal proximal cytoplasmic polyadenylation elements (papCPEs) in 3' untranslated regions. By contrast, translation repression parallels global de-adenylation. The latter includes transcripts containing no CPEs or non-papCPEs, which encode many transcription regulators that are preferentially re-activated before zygotic genome activation. CCR4-NOT, the major de-adenylation complex, and its key adaptor protein BTG4 regulate translation downregulation often independent of RNA decay. BTG4 is not essential for global de-adenylation but is required for selective gene de-adenylation and production of very short-tailed transcripts. In sum, our data reveal intimate interplays among translation, RNA stability and poly(A) tail length regulation underlying mammalian OET.

Indexed as

Embryonic DevelopmentOocytes3' Untranslated RegionsAnimalsEmbryo, MammalianGene Expression Regulation, DevelopmentalMammalsMicePolyadenylationProtein BiosynthesisRNA, Messenger3' Untranslated RegionsRNA, Messenger

Identifiers

PMID35697785
OpenAlexW4282597329

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.