Proteomics

Dataset Information

0

The comprehensive stage-specific proteome across human pre-implantation embryo development at single-cell level


ABSTRACT: Although the landscape of epigenomic and transcriptomic regulation during human pre-implantation development has been depicted by applying single-cell sequencing, the investigation of embryonic proteome is almost unrevealed due to the insufficient input quantity from precious human embryonic samples for traditional mass spectrometry (MS). With applying the state-of-the-art ultrahigh sensitivity mass spectrometry technology and nanoliter-scale oil-air-droplet (OAD) chip, we were able to identify more than three thousand proteins in a single oocytes during human pre-implantation development. Hundreds of stage-specific proteins with significant expressional changes were classified. Many that involve important functions, such as paternal genome reprogramming or DNA methylation, were firstly identified in human embryo studies. We discovered a two peaks of “zygotic proteome activation” (ZPA) at 2-cell and morula stages, in which proteins are mainly associated with epigenetic reprogramming. Our study, for the first time, delineates a comprehensive stage-specific proteome landscape at a single-cell level. It is as well a large step of enriching the panorama of functional genomics across human pre-implantation embryo development.

ORGANISM(S): Homo Sapiens

SUBMITTER: Catherine CL Wong  

PROVIDER: PXD024267 | iProX | Tue Apr 20 00:00:00 BST 2021

REPOSITORIES: iProX

altmetric image

Publications

Functional profiling of stage-specific proteome and translational transition across human pre-implantation embryo development at a single-cell resolution.

Dang Yujiao Y   Zhu Liu L   Yuan Peng P   Liu Qiang Q   Guo Qianying Q   Chen Xi X   Gao Shuaixin S   Liu Xiao X   Ji Shushen S   Yuan Yifeng Y   Lian Ying Y   Li Rong R   Yan Liying L   Wong Catherine C L CCL   Qiao Jie J  

Cell discovery 20230124 1


Similar Datasets

2023-07-05 | MSV000092349 | MassIVE
2013-08-10 | E-GEOD-36552 | biostudies-arrayexpress
2021-11-28 | GSE169632 | GEO
| EGAS00001003443 | EGA
2011-07-18 | E-GEOD-29397 | biostudies-arrayexpress
2016-08-24 | E-GEOD-74767 | biostudies-arrayexpress
2023-06-11 | GSE208195 | GEO
2023-10-24 | PXD040311 | Pride
| PRJNA544066 | ENA
2017-03-31 | GSE72379 | GEO