Decoding dynamic epigenetic landscapes in human oocytes using single-cell multi-omics sequencing-Reference-Cited by-同舟云学术

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Decoding dynamic epigenetic landscapes in human oocytes using single-cell multi-omics sequencing

Published:2021-09 Issue:9 Volume:28 Page:1641-1656.e7
ISSN:1934-5909
Container-title:Cell Stem Cell
language:en
Short-container-title:Cell Stem Cell

Author:

Yan Rui,Gu Chan^ORCID,You Di,Huang Zhongying,Qian Jingjing,Yang Qiuyun,Cheng Xin,Zhang Lin,Wang Hongmei,Wang Ping,Guo Fan^ORCID

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences

Ministry of Science and Technology of the People's Republic of China

Department of Science and Technology of Sichuan Province

Ferring Pharmaceuticals

Publisher

Elsevier BV

Subject

Cell Biology,Genetics,Molecular Medicine

Reference45 articles.

1. Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity;Angermueller;Nat. Methods,2016

2. MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data;Argelaguet;Genome Biol.,2020

3. Dimensionality reduction for visualizing single-cell data using UMAP;Becht;Nat. Biotechnol.,2018

4. Evolution of imprinting via lineage-specific insertion of retroviral promoters;Bogutz;Nat. Commun.,2019

5. FBXL10 protects Polycomb-bound genes from hypermethylation;Boulard;Nat. Genet.,2015

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3. scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data;BMC Bioinformatics;2024-08-06

4. Distinct dynamics of parental 5-hydroxymethylcytosine during human preimplantation development regulate early lineage gene expression;Nature Cell Biology;2024-07-30

5. Decoding molecular features of bovine oocyte fate during antral follicle growth via single-cell multi-omics analysis;Biology of Reproduction;2024-07-26

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